diff --git a/.gitattributes b/.gitattributes index 8a0d2d901e..575b174994 100644 --- a/.gitattributes +++ b/.gitattributes @@ -5,4 +5,3 @@ # Ignore *ipynb files to detect the language. # This is because GitHub misdetects the repo language when ipynb files are included. *.ipynb filter=lfs diff=lfs merge=lfs -text -uv.lock filter=lfs diff=lfs merge=lfs -text diff --git a/.github/actions/code-quality/pre-commit/action.yaml b/.github/actions/code-quality/pre-commit/action.yaml deleted file mode 100644 index 7f813725ca..0000000000 --- a/.github/actions/code-quality/pre-commit/action.yaml +++ /dev/null @@ -1,116 +0,0 @@ -# Pre-commit Quality Action -# -# This composite action executes pre-commit hooks for code quality checks -# with configurable Python and Node.js environments. -# -# Key Features: -# - Pre-commit hook execution -# - Environment configuration -# - Cache management -# - Multi-language support -# - Dependency handling -# -# Process Stages: -# 1. Environment Setup: -# - Python installation -# - Node.js installation -# - Cache configuration -# -# 2. Dependency Management: -# - Pre-commit installation -# - Hook installation -# - Cache restoration -# -# 3. Quality Checks: -# - Hook execution -# - Error reporting -# - Result caching -# -# Required Inputs: -# - python-version: Python version to use -# - node-version: Node.js version to use (defaults to "20") -# -# Example Usage: -# steps: -# - uses: ./.github/actions/code-quality/pre-commit -# with: -# python-version: "3.11" -# -# Note: Requires configured pre-commit hooks in repository - -name: "Pre-commit Quality Checks" -description: "Runs pre-commit hooks for code quality checks" - -inputs: - python-version: - description: "Python version to use" - required: false - default: "3.10" - node-version: - description: "Node.js version to use" - required: false - default: "20" - skip: - description: "Comma-separated list of hooks to skip" - required: false - default: "" - cache: - description: "Whether to use caching" - required: false - default: "true" - -outputs: - cache-hit: - description: "Whether the cache was hit" - value: ${{ steps.pre-commit-cache.outputs.cache-hit }} - -runs: - using: composite - steps: - # Set up Python environment with caching - - name: Set up Python - uses: actions/setup-python@e797f83bcb11b83ae66e0230d6156d7c80228e7c # v6 - with: - python-version: ${{ inputs.python-version }} - cache: pip # Enable pip caching - cache-dependency-path: .pre-commit-config.yaml - - # Set up Node.js for JavaScript-related hooks - - name: Set up Node.js - uses: actions/setup-node@a0853c24544627f65ddf259abe73b1d18a591444 # v5 - with: - node-version: ${{ inputs.node-version }} - - # Install pre-commit with latest pip - - name: Install pre-commit - shell: bash - run: | - python -m pip install --upgrade pip - pip install pre-commit - - # Cache pre-commit hooks to speed up subsequent runs - - name: Cache pre-commit hooks - if: inputs.cache == 'true' - id: pre-commit-cache - uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4 - with: - path: ~/.cache/pre-commit - # Cache key includes Python and Node versions to ensure correct environment - key: pre-commit-${{ runner.os }}-py${{ inputs.python-version }}-node${{ inputs.node-version }}-${{ hashFiles('.pre-commit-config.yaml') }} - restore-keys: | - pre-commit-${{ runner.os }}-py${{ inputs.python-version }}-node${{ inputs.node-version }}- - pre-commit-${{ runner.os }}-py${{ inputs.python-version }}- - - # Execute pre-commit checks with optional hook skipping - - name: Run pre-commit checks - shell: bash - env: - SKIP: ${{ inputs.skip }} - run: | - if [ -n "$SKIP" ]; then - # Run specific hooks if skip parameter is provided - pre-commit run --all-files --hook-stage="$SKIP" - else - # Run all hooks if no skip parameter - pre-commit run --all-files - fi diff --git a/.github/workflows/_reusable-code-quality.yaml b/.github/workflows/_reusable-code-quality.yaml index 0fd8b92b14..8a64e14ca4 100644 --- a/.github/workflows/_reusable-code-quality.yaml +++ b/.github/workflows/_reusable-code-quality.yaml @@ -1,25 +1,26 @@ # Code Quality Workflow # -# This reusable workflow executes code quality checks using pre-commit hooks -# and other quality assurance tools across multiple languages. +# This reusable workflow executes code quality checks using prek (pre-commit workspace tool) +# with support for monorepo configurations and multiple pre-commit configs. # # Key Features: -# - Pre-commit hook execution -# - Multi-language support +# - Workspace mode support (multiple .pre-commit-config.yaml files) +# - Multi-language support (Python, Node.js, etc.) +# - Automatic environment management # - Dependency caching -# - Configurable environments # - Parallel check execution # # Process Stages: -# 1. Environment Preparation: -# - Python setup -# - Cache configuration +# 1. Checkout: +# - Full repository history +# - LFS file support # -# 2. Quality Checks: +# 2. Quality Checks (via prek): # - Code linting # - Style verification # - Type checking # - Best practices validation +# - Runs appropriate hooks based on file location # # 3. Results Processing: # - Error reporting @@ -42,7 +43,8 @@ # with: # python-version: "3.11" # -# Note: Requires configured pre-commit hooks in repository +# Note: Uses prek-action (https://github.com/j178/prek-action) which supports +# multiple pre-commit configs in workspace mode for monorepo setups name: Reusable Code Quality @@ -58,15 +60,13 @@ permissions: contents: read jobs: - pre-commit: + prek: runs-on: ubuntu-latest - timeout-minutes: 5 + timeout-minutes: 10 steps: - uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5 with: fetch-depth: 0 lfs: true persist-credentials: false - - uses: ./.github/actions/code-quality/pre-commit - with: - python-version: ${{ inputs.python-version }} + - uses: j178/prek-action@ef075ff6f80a73aeb8facb7dd22f66f344b1d17a # v1 diff --git a/.github/workflows/geti-inspect.yaml b/.github/workflows/geti-inspect.yaml new file mode 100644 index 0000000000..2f5ba89696 --- /dev/null +++ b/.github/workflows/geti-inspect.yaml @@ -0,0 +1,294 @@ +name: Geti Inspect UI checks +permissions: {} # No permissions by default on workflow level + +on: + push: + branches: [main] + paths: + - "application/**" + pull_request: + types: + - opened + - reopened + - synchronize + - ready_for_review + paths: + - "application/**" + workflow_dispatch: # run on request (no need for PR) + +jobs: + generate-openapi-spec: + name: Generate OpenAPI Spec + runs-on: ubuntu-latest + permissions: + contents: read # to checkout code + steps: + - name: Checkout code + uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 + with: + lfs: true + persist-credentials: false + + - name: Set up Python + uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 + with: + python-version: "3.13" + + - name: Install uv + uses: astral-sh/setup-uv@a02a550bdd3185dba2ebb6aa98d77047ce54ad21 # v6.2.1 + with: + version: "0.8.8" + + - name: Install OpenCV dependencies + run: | + sudo apt-get update + sudo apt-get install -y libgl1 libglib2.0-0 + + - name: Prepare venv and install Python dependencies + working-directory: application/backend + run: | + uv lock --check + uv sync --frozen --all-extras + + - name: Get OpenAPI spec + working-directory: application/backend + run: | + export PYTHONPATH=. + uv run src/cli.py gen-api --target-path openapi-spec.json + + - uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2 + with: + name: openapi-spec + path: application/backend/openapi-spec.json + + python-checks: + runs-on: ubuntu-latest + permissions: + contents: read # to checkout code + steps: + - name: Checkout repository + uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 + with: + lfs: true + persist-credentials: false + + - name: Set up Python + uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 + with: + python-version: "3.13" + + - name: Install uv + uses: astral-sh/setup-uv@a02a550bdd3185dba2ebb6aa98d77047ce54ad21 # v6.2.1 + with: + version: "0.8.8" + + - name: Prepare venv and install Python dependencies + working-directory: application/backend + run: | + uv lock --check + uv sync --frozen --all-extras + + - name: Check formatting with ruff + working-directory: application/backend + run: | + uv run ruff check --output-format=github . + uv run ruff format --check . + + - name: Check source code with mypy + working-directory: application/backend + run: | + uv run --group lint mypy . --config-file=pyproject.toml + + - name: Run unit tests + working-directory: application/backend + run: | + uv run pytest tests/unit + + ui-build: + name: Build UI + needs: + - generate-openapi-spec + runs-on: ubuntu-latest + permissions: + contents: read # to checkout code + steps: + - name: Checkout code + uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 + with: + lfs: true + persist-credentials: false + + - uses: actions/setup-node@60edb5dd545a775178f52524783378180af0d1f8 # v4.0.2 + id: setup-node + with: + node-version-file: application/ui/.nvmrc + + - name: Install dependencies + working-directory: "application/ui" + run: npm ci + + - name: Download OpenAPI spec artifact + uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0 + with: + name: openapi-spec + path: application/ui/src/api + + - name: Build UI + working-directory: "application/ui" + run: npm run build + + - name: Compress build + working-directory: "application/ui" + run: tar -czf dist.tar.gz dist + + - uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3 # v4.3.1 + with: + name: ui-dist + path: "application/ui/dist.tar.gz" + + ui-lint: + name: Eslint checks + needs: + - generate-openapi-spec + runs-on: ubuntu-latest + permissions: + contents: read # to checkout code + steps: + - name: Checkout code + uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 + with: + lfs: true + persist-credentials: false + + - uses: actions/setup-node@60edb5dd545a775178f52524783378180af0d1f8 # v4.0.2 + id: setup-node + with: + node-version-file: application/ui/.nvmrc + + - name: Install dependencies + working-directory: "application/ui" + run: npm ci + + - name: Download OpenAPI spec artifact + uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0 + with: + name: openapi-spec + path: application/ui/src/api + + - name: Build OpenAPI type definitions + working-directory: "application/ui" + run: npm run build:api:types + + - name: Prettier + working-directory: "application/ui" + run: npm run format:check + + - name: Eslint + working-directory: "application/ui" + run: npm run lint + + - name: Eslint cyclic imports + working-directory: "application/ui" + run: npm run cyclic-deps-check + + - name: Typescript + working-directory: "application/ui" + run: npm run type-check + + ui-unit-tests: + name: Unit tests + needs: + - generate-openapi-spec + runs-on: ubuntu-latest + permissions: + contents: read # to checkout code + steps: + - name: Checkout code + uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 + with: + lfs: true + persist-credentials: false + + - uses: actions/setup-node@60edb5dd545a775178f52524783378180af0d1f8 # v4.0.2 + id: setup-node + with: + node-version-file: application/ui/.nvmrc + + - name: Install dependencies + working-directory: "application/ui" + run: npm ci + + - name: Download OpenAPI spec artifact + uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0 + with: + name: openapi-spec + path: application/ui/src/api + + - name: Build OpenAPI type definitions + working-directory: "application/ui" + run: npm run build:api:types + + - name: UI Unit tests + working-directory: "application/ui" + run: npm run test:unit + + ui-playwright-tests: + name: Playwright Tests + needs: + - ui-build + - generate-openapi-spec + permissions: + contents: read # to checkout code + timeout-minutes: 60 + runs-on: ubuntu-latest + container: + image: mcr.microsoft.com/playwright:v1.54.0-noble + steps: + - name: Install git lfs + run: apt-get update && apt-get install git-lfs + + - name: Checkout code + uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.2 + with: + lfs: true + persist-credentials: false + + - uses: actions/setup-node@60edb5dd545a775178f52524783378180af0d1f8 # v4.0.2 + id: setup-node + with: + node-version-file: application/ui/.nvmrc + + - name: Install dependencies + working-directory: "application/ui" + run: npm ci + + - uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0 + with: + name: ui-dist + path: "application/ui" + + - name: Unpack build + working-directory: "application/ui" + run: tar -xzf dist.tar.gz + + - name: Download OpenAPI spec artifact + uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0 + with: + name: openapi-spec + path: application/ui/src/api + + - name: Build OpenAPI type definitions + working-directory: "application/ui" + run: npm run build:api:types + + - name: Run Playwright tests + working-directory: "application/ui" + run: npm run test:component -- --project "Component tests" + + - name: Upload blob report to GitHub Actions Artifacts + uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2 + if: always() + with: + name: playwright-report + path: application/ui/playwright-report/ + retention-days: 30 diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 01d96538f8..6c3d307e67 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,6 +1,9 @@ default_language_version: node: 24.2.0 +# We use a different CI setup for geti-inspect +exclude: ^application/ + repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v5.0.0 @@ -11,6 +14,7 @@ repos: exclude: "docs/source/examples" - id: check-yaml - id: check-added-large-files + exclude: '(^|/).*\.lock$' # Exclude lock files (uv.lock, package-lock.json, etc.) - id: debug-statements - id: detect-private-key @@ -72,6 +76,7 @@ repos: rev: v4.0.0-alpha.8 hooks: - id: prettier + exclude: ^app/ui/ - repo: https://github.com/igorshubovych/markdownlint-cli rev: v0.45.0 diff --git a/application/backend/.dockerignore b/application/backend/.dockerignore new file mode 100644 index 0000000000..e3bb447325 --- /dev/null +++ b/application/backend/.dockerignore @@ -0,0 +1,4 @@ +* +!src +!pyproject.toml +!uv.lock diff --git a/application/backend/.gitignore b/application/backend/.gitignore new file mode 100644 index 0000000000..362184b188 --- /dev/null +++ b/application/backend/.gitignore @@ -0,0 +1,22 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info + +# Virtual environments +.venv + +# Other files and folders +.gradio +TODO* + +data/ +logs/ +sink/ + +.idea +.DS_Store +.inspect.db \ No newline at end of file diff --git a/application/backend/.pre-commit-config.yaml b/application/backend/.pre-commit-config.yaml new file mode 100644 index 0000000000..0aeab11e56 --- /dev/null +++ b/application/backend/.pre-commit-config.yaml @@ -0,0 +1,36 @@ +# Pre-commit configuration for geti-inspect application (application-backend + UI) +# This config uses Python 3.13+ and Node.js 24.2.0+ with tool versions matching application dependencies +# Install from application/ directory with: pre-commit install --config .pre-commit-config.yaml + +default_language_version: + python: python3.13 + +repos: + - repo: https://github.com/charliermarsh/ruff-pre-commit + rev: "v0.14.3" + hooks: + # Run the linter. + - id: ruff + alias: ruff-application-backend + name: ruff (application-backend) + args: ["--fix"] + # Run the formatter + - id: ruff-format + + # application-backend: python static type checking + - repo: https://github.com/pre-commit/mirrors-mypy + rev: "v1.18.2" + hooks: + - id: mypy + alias: mypy-application-backend + name: mypy (application-backend) + additional_dependencies: [types-PyYAML, types-setuptools, types-requests, alembic] + + # Markdown linting + - repo: https://github.com/igorshubovych/markdownlint-cli + rev: v0.45.0 + hooks: + - id: markdownlint + alias: markdownlint-application-backend + name: markdownlint (application-backend) + args: [--config=.markdownlint.yaml] diff --git a/application/backend/pyproject.toml b/application/backend/pyproject.toml new file mode 100644 index 0000000000..c374ce1b4b --- /dev/null +++ b/application/backend/pyproject.toml @@ -0,0 +1,97 @@ +[project] +name = "geti-inspect" +version = "1.0.0" +description = "Geti inspect server" +requires-python = ">=3.13" + +dependencies = [ + "fastapi[standard]~=0.116", + "jsonschema>=4.18.0a10", + "uvicorn~=0.17", + "sqlalchemy[asyncio]~=2.0", + "aiosqlite~=0.21", + "psutil~=7.0.0", + "alembic~=1.16.4", + "aiofiles==24.1.0", + "openvino==2025.2.0", + "pydantic-settings~=2.10.1", + "aiortc~=1.13.0", + "anomalib[full]", + "torchmetrics>=1.8.2", + "opencv-python-headless~=4.12", + "watchdog==6.0.0", + "uvloop==0.21.0", + "loguru==0.7.3", + "trackio~=0.6.0", +] + +[dependency-groups] +dev = [ + "pytest~=8.3", + "pre-commit~=4.1", + "pdbpp~=0.10", + "flaky~=3.8", + "testfixtures~=8.2", + "httpx~=0.24", + "freezegun~=1.5", +] +lint = [ + "ruff~=0.11.2", + "mypy~=1.17", + "types-requests~=2.32.4", + "types-PyYAML~=6.0.12", +] + +[project.optional-dependencies] +mqtt = [ + "paho-mqtt~=2.1.0", +] + +[tool.uv.sources] +anomalib = { path = "../../", editable = true } + +[tool.ruff] +extend = "../../pyproject.toml" +target-version = "py313" +line-length = 120 + +exclude = [".venv*"] + +src = ["src"] + +lint.select = ["ARG", "E", "F", "I", "N", "UP", "YTT", "ASYNC", "S", "COM", "C4", "FA", "PIE", "PYI", "Q", "RSE", "RET", "SIM", + "TID", "TC", "PL", "RUF", "C90", "D103", "ANN001", "ANN201", "ANN205", "FAST"] +lint.ignore = ["N801", "N805","N806","N807", "N818", "COM812", "RET503", "SIM108", "SIM105", "PLR2004", + "RUF010", "TC001", "RUF012", "PLR6301", "RUF029"] +lint.dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" + +[tool.pytest.ini_options] +pythonpath = ["src"] +filterwarnings = [ + "ignore:.*fork.*may lead to deadlocks.*:DeprecationWarning:multiprocessing", + "ignore:Please use.*python_multipart.*:PendingDeprecationWarning:starlette", + "ignore:Importing from timm.models.layers is deprecated.*:FutureWarning:timm", + # Suppress AsyncMock coroutine warnings - these are test artifacts from unittest.mock + # framework internals during garbage collection, not actual code issues + "ignore:coroutine.*was never awaited:RuntimeWarning:unittest.mock", + # Suppress websockets deprecation warnings from uvicorn (third-party dependency issue) + "ignore:.*websockets.legacy is deprecated.*:DeprecationWarning", + "ignore:.*WebSocketServerProtocol is deprecated.*:DeprecationWarning", + # Suppress third-party library deprecation warnings + "ignore:Jupyter is migrating its paths.*:DeprecationWarning:jupyter_client", + "ignore:.*sentry_sdk.Hub.*is deprecated.*:DeprecationWarning", +] + +[tool.ruff.lint.per-file-ignores] +"*test*.py" = ["S", "ANN", "D", "ARG", "PLR"] + +[tool.ruff.lint.isort] +split-on-trailing-comma = false + +[tool.ruff.lint.pylint] +max-args=7 + +[tool.mypy] +python_version = "3.13" +ignore_missing_imports = true +show_error_codes = true diff --git a/application/backend/run.sh b/application/backend/run.sh new file mode 100755 index 0000000000..465b27354d --- /dev/null +++ b/application/backend/run.sh @@ -0,0 +1,40 @@ +#!/bin/bash +set -euo pipefail + +# ----------------------------------------------------------------------------- +# run.sh - Script to run the Geti Tune FastAPI server +# +# Features: +# - Optionally seed the database before starting the server by setting: +# SEED_DB=true +# +# Usage: +# SEED_DB=true ./run.sh # Seed database before launching server (make sure to pre-upload model artifacts) +# ./run.sh # Run server without seeding +# +# Environment variables: +# SEED_DB If set to "true", runs `uv run app/cli seed` before starting the server. +# APP_MODULE Python module to run (default: app/main.py) +# UV_CMD Command to launch Uvicorn (default: "uv run") +# +# Requirements: +# - 'uv' CLI tool (Uvicorn) installed and available in PATH +# - Python modules and dependencies installed correctly +# ----------------------------------------------------------------------------- + +SEED_DB=${SEED_DB:-false} +APP_MODULE=${APP_MODULE:-src/main.py} +UV_CMD=${UV_CMD:-uv run} + +export PYTHONUNBUFFERED=1 +export PYTHONPATH=. + +if [[ "$SEED_DB" == "true" ]]; then + echo "Seeding the database..." + $UV_CMD src/cli.py init-db + $UV_CMD src/cli.py seed --with-model=True +fi + +echo "Starting FastAPI server..." + +exec $UV_CMD "$APP_MODULE" diff --git a/application/backend/src/alembic.ini b/application/backend/src/alembic.ini new file mode 100644 index 0000000000..d10eb029ce --- /dev/null +++ b/application/backend/src/alembic.ini @@ -0,0 +1,148 @@ +# A generic, single database configuration. + +[alembic] +# path to migration scripts. +# this is typically a path given in POSIX (e.g. forward slashes) +# format, relative to the token %(here)s which refers to the location of this +# ini file +script_location = %(here)s/alembic + +# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s +# Uncomment the line below if you want the files to be prepended with date and time +# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file +# for all available tokens +# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s + +# sys.path path, will be prepended to sys.path if present. +# defaults to the current working directory. for multiple paths, the path separator +# is defined by "path_separator" below. +prepend_sys_path = %(here)s + + +# timezone to use when rendering the date within the migration file +# as well as the filename. +# If specified, requires the python>=3.9 or backports.zoneinfo library and tzdata library. +# Any required deps can installed by adding `alembic[tz]` to the pip requirements +# string value is passed to ZoneInfo() +# leave blank for localtime +# timezone = + +# max length of characters to apply to the "slug" field +# truncate_slug_length = 40 + +# set to 'true' to run the environment during +# the 'revision' command, regardless of autogenerate +# revision_environment = false + +# set to 'true' to allow .pyc and .pyo files without +# a source .py file to be detected as revisions in the +# versions/ directory +# sourceless = false + +# version location specification; This defaults +# to /versions. When using multiple version +# directories, initial revisions must be specified with --version-path. +# The path separator used here should be the separator specified by "path_separator" +# below. +# version_locations = %(here)s/bar:%(here)s/bat:%(here)s/alembic/versions + +# path_separator; This indicates what character is used to split lists of file +# paths, including version_locations and prepend_sys_path within configparser +# files such as alembic.ini. +# The default rendered in new alembic.ini files is "os", which uses os.pathsep +# to provide os-dependent path splitting. +# +# Note that in order to support legacy alembic.ini files, this default does NOT +# take place if path_separator is not present in alembic.ini. If this +# option is omitted entirely, fallback logic is as follows: +# +# 1. Parsing of the version_locations option falls back to using the legacy +# "version_path_separator" key, which if absent then falls back to the legacy +# behavior of splitting on spaces and/or commas. +# 2. Parsing of the prepend_sys_path option falls back to the legacy +# behavior of splitting on spaces, commas, or colons. +# +# Valid values for path_separator are: +# +# path_separator = : +# path_separator = ; +# path_separator = space +# path_separator = newline +# +# Use os.pathsep. Default configuration used for new projects. +path_separator = os + +# set to 'true' to search source files recursively +# in each "version_locations" directory +# new in Alembic version 1.10 +# recursive_version_locations = false + +# the output encoding used when revision files +# are written from script.py.mako +# output_encoding = utf-8 + +# database URL. This is consumed by the user-maintained env.py script only. +# other means of configuring database URLs may be customized within the env.py +# file. +# Note: The database URL is dynamically set from settings in env.py, so this value is ignored. +sqlalchemy.url = sqlite:///data/geti_inspect.db + + +[post_write_hooks] +# post_write_hooks defines scripts or Python functions that are run +# on newly generated revision scripts. See the documentation for further +# detail and examples + +# format using "black" - use the console_scripts runner, against the "black" entrypoint +# hooks = black +# black.type = console_scripts +# black.entrypoint = black +# black.options = -l 79 REVISION_SCRIPT_FILENAME + +# lint with attempts to fix using "ruff" - use the module runner, against the "ruff" module +# hooks = ruff +# ruff.type = module +# ruff.module = ruff +# ruff.options = check --fix REVISION_SCRIPT_FILENAME + +# Alternatively, use the exec runner to execute a binary found on your PATH +# hooks = ruff +# ruff.type = exec +# ruff.executable = ruff +# ruff.options = check --fix REVISION_SCRIPT_FILENAME + +# Logging configuration. This is also consumed by the user-maintained +# env.py script only. +[loggers] +keys = root,sqlalchemy,alembic + +[handlers] +keys = console + +[formatters] +keys = generic + +[logger_root] +level = WARNING +handlers = console +qualname = + +[logger_sqlalchemy] +level = WARNING +handlers = +qualname = sqlalchemy.engine + +[logger_alembic] +level = INFO +handlers = +qualname = alembic + +[handler_console] +class = StreamHandler +args = (sys.stderr,) +level = NOTSET +formatter = generic + +[formatter_generic] +format = %(levelname)-5.5s [%(name)s] %(message)s +datefmt = %H:%M:%S diff --git a/application/backend/src/alembic/README b/application/backend/src/alembic/README new file mode 100644 index 0000000000..16ff900716 --- /dev/null +++ b/application/backend/src/alembic/README @@ -0,0 +1,16 @@ +Generic single-database configuration. + +# Generate a new migration +``` +uv run alembic -c src/alembic.ini revision --autogenerate -m "migration_name" +``` + +# Upgrade the database to the latest revision +``` +uv run alembic -c src/alembic.ini upgrade head +``` + +# Downgrade the database to a specific revision +``` +uv run alembic -c src/alembic.ini downgrade +``` \ No newline at end of file diff --git a/application/backend/src/alembic/env.py b/application/backend/src/alembic/env.py new file mode 100644 index 0000000000..6e66ece454 --- /dev/null +++ b/application/backend/src/alembic/env.py @@ -0,0 +1,79 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from logging.config import fileConfig + +from sqlalchemy import engine_from_config, pool + +from alembic import context +from db import schema + +# this is the Alembic Config object, which provides +# access to the values within the .ini file in use. +config = context.config + +# Interpret the config file for Python logging. +# This line sets up loggers basically. +if config.config_file_name is not None: + fileConfig(config.config_file_name) + +# add your model's MetaData object here +# for 'autogenerate' support +target_metadata = schema.Base.metadata + +# other values from the config, defined by the needs of env.py, +# can be acquired: +# my_important_option = config.get_main_option("my_important_option") +# ... etc. + + +def run_migrations_offline() -> None: + """Run migrations in 'offline' mode. + + This configures the context with just a URL + and not an Engine, though an Engine is acceptable + here as well. By skipping the Engine creation + we don't even need a DBAPI to be available. + + Calls to context.execute() here emit the given string to the + script output. + + """ + url = config.get_main_option("sqlalchemy.url") + context.configure( + url=url, + target_metadata=target_metadata, + literal_binds=True, + dialect_opts={"paramstyle": "named"}, + ) + context.execute("PRAGMA foreign_keys=ON") # Enable foreign keys for SQLite + + with context.begin_transaction(): + context.run_migrations() + + +def run_migrations_online() -> None: + """Run migrations in 'online' mode. + + In this scenario we need to create an Engine + and associate a connection with the context. + + """ + connectable = engine_from_config( + config.get_section(config.config_ini_section, {}), + prefix="sqlalchemy.", + poolclass=pool.NullPool, + ) + + with connectable.connect() as connection: + context.configure(connection=connection, target_metadata=target_metadata) + context.execute("PRAGMA foreign_keys=ON") # Enable foreign keys for SQLite + + with context.begin_transaction(): + context.run_migrations() + + +if context.is_offline_mode(): + run_migrations_offline() +else: + run_migrations_online() diff --git a/application/backend/src/alembic/script.py.mako b/application/backend/src/alembic/script.py.mako new file mode 100644 index 0000000000..11016301e7 --- /dev/null +++ b/application/backend/src/alembic/script.py.mako @@ -0,0 +1,28 @@ +"""${message} + +Revision ID: ${up_revision} +Revises: ${down_revision | comma,n} +Create Date: ${create_date} + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +${imports if imports else ""} + +# revision identifiers, used by Alembic. +revision: str = ${repr(up_revision)} +down_revision: Union[str, Sequence[str], None] = ${repr(down_revision)} +branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)} +depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)} + + +def upgrade() -> None: + """Upgrade schema.""" + ${upgrades if upgrades else "pass"} + + +def downgrade() -> None: + """Downgrade schema.""" + ${downgrades if downgrades else "pass"} diff --git a/application/backend/src/alembic/versions/7a213a27d666_initial_schema.py b/application/backend/src/alembic/versions/7a213a27d666_initial_schema.py new file mode 100644 index 0000000000..a1ea0d39a3 --- /dev/null +++ b/application/backend/src/alembic/versions/7a213a27d666_initial_schema.py @@ -0,0 +1,147 @@ +"""Initial schema + +Revision ID: 7a213a27d666 +Revises: +Create Date: 2025-11-10 16:20:41.902076 + +""" + +from collections.abc import Sequence + +import sqlalchemy as sa + +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "7a213a27d666" +down_revision: str | Sequence[str] | None = None +branch_labels: str | Sequence[str] | None = None +depends_on: str | Sequence[str] | None = None + + +def upgrade() -> None: + """Upgrade schema - create all tables matching schema.py.""" + # Create projects table first (referenced by other tables) + op.create_table( + "projects", + sa.Column("id", sa.String(), nullable=False), + sa.Column("name", sa.String(length=255), nullable=False), + sa.Column("created_at", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.Column("updated_at", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.PrimaryKeyConstraint("id"), + ) + + # Create jobs table (referenced by models) + op.create_table( + "jobs", + sa.Column("id", sa.String(), nullable=False), + sa.Column("project_id", sa.String(), nullable=False), + sa.Column("type", sa.String(length=64), nullable=False), + sa.Column("progress", sa.Integer(), nullable=False), + sa.Column("status", sa.String(length=64), nullable=False), + sa.Column("message", sa.Text(), nullable=False), + sa.Column("created_at", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.Column("start_time", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.Column("end_time", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.Column("payload", sa.JSON(), nullable=False), + sa.ForeignKeyConstraint(["project_id"], ["projects.id"]), + sa.PrimaryKeyConstraint("id"), + ) + + # Create sources table + op.create_table( + "sources", + sa.Column("id", sa.Text(), nullable=False), + sa.Column("project_id", sa.String(), nullable=False), + sa.Column("name", sa.String(length=255), nullable=False), + sa.Column("source_type", sa.String(length=50), nullable=False), + sa.Column("config_data", sa.JSON(), nullable=False), + sa.Column("created_at", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.Column("updated_at", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.ForeignKeyConstraint(["project_id"], ["projects.id"]), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("name", "project_id"), + ) + + # Create sinks table + op.create_table( + "sinks", + sa.Column("id", sa.Text(), nullable=False), + sa.Column("project_id", sa.String(), nullable=False), + sa.Column("name", sa.String(length=255), nullable=False), + sa.Column("sink_type", sa.String(length=50), nullable=False), + sa.Column("rate_limit", sa.Float(), nullable=True), + sa.Column("config_data", sa.JSON(), nullable=False), + sa.Column("output_formats", sa.JSON(), nullable=False), + sa.Column("created_at", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.Column("updated_at", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.ForeignKeyConstraint(["project_id"], ["projects.id"]), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("name", "project_id"), + ) + + # Create media table + op.create_table( + "media", + sa.Column("id", sa.String(), nullable=False), + sa.Column("project_id", sa.String(), nullable=False), + sa.Column("filename", sa.Text(), nullable=False), + sa.Column("size", sa.Integer(), nullable=False), + sa.Column("width", sa.Integer(), nullable=False), + sa.Column("height", sa.Integer(), nullable=False), + sa.Column("is_anomalous", sa.Boolean(), nullable=False), + sa.Column("updated_at", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.Column("created_at", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.ForeignKeyConstraint(["project_id"], ["projects.id"]), + sa.PrimaryKeyConstraint("id"), + ) + + # Create models table (depends on jobs) + op.create_table( + "models", + sa.Column("id", sa.Text(), nullable=False), + sa.Column("project_id", sa.String(), nullable=False), + sa.Column("name", sa.String(length=255), nullable=False), + sa.Column("format", sa.String(length=64), nullable=False), + sa.Column("threshold", sa.Float(), nullable=False), + sa.Column("export_path", sa.Text(), nullable=False), + sa.Column("is_ready", sa.Boolean(), nullable=False), + sa.Column("created_at", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.Column("train_job_id", sa.String(), nullable=False), + sa.Column("size", sa.BigInteger(), nullable=True), + sa.ForeignKeyConstraint(["project_id"], ["projects.id"]), + sa.ForeignKeyConstraint(["train_job_id"], ["jobs.id"], ondelete="RESTRICT"), + sa.PrimaryKeyConstraint("id"), + ) + + # Create pipelines table (depends on projects, sources, sinks, models) + op.create_table( + "pipelines", + sa.Column("project_id", sa.Text(), nullable=False), + sa.Column("source_id", sa.Text(), nullable=True), + sa.Column("sink_id", sa.Text(), nullable=True), + sa.Column("model_id", sa.Text(), nullable=True), + sa.Column("inference_device", sa.String(length=64), nullable=True), + sa.Column("is_running", sa.Boolean(), nullable=False), + sa.Column("is_active", sa.Boolean(), nullable=False), + sa.Column("data_collection_policies", sa.JSON(), nullable=False), + sa.Column("created_at", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.Column("updated_at", sa.DateTime(), server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False), + sa.ForeignKeyConstraint(["project_id"], ["projects.id"], ondelete="CASCADE"), + sa.ForeignKeyConstraint(["source_id"], ["sources.id"], ondelete="RESTRICT"), + sa.ForeignKeyConstraint(["sink_id"], ["sinks.id"], ondelete="RESTRICT"), + sa.ForeignKeyConstraint(["model_id"], ["models.id"], ondelete="RESTRICT"), + sa.PrimaryKeyConstraint("project_id"), + ) + + +def downgrade() -> None: + """Downgrade schema - drop all tables in reverse order.""" + # Drop tables in reverse order of dependencies + op.drop_table("pipelines") + op.drop_table("models") + op.drop_table("media") + op.drop_table("sinks") + op.drop_table("sources") + op.drop_table("jobs") + op.drop_table("projects") diff --git a/application/backend/src/api/__init__.py b/application/backend/src/api/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/application/backend/src/api/dependencies.py b/application/backend/src/api/dependencies.py new file mode 100644 index 0000000000..dc3096de52 --- /dev/null +++ b/application/backend/src/api/dependencies.py @@ -0,0 +1,164 @@ +from functools import lru_cache +from typing import Annotated +from uuid import UUID + +from fastapi import Depends, Form, HTTPException, Request, status + +from core import Scheduler +from services import ( + ActivePipelineService, + ConfigurationService, + JobService, + MediaService, + PipelineService, + ProjectService, +) +from services.metrics_service import MetricsService +from services.model_service import ModelService +from services.pipeline_metrics_service import PipelineMetricsService +from webrtc.manager import WebRTCManager + + +async def get_project_service() -> ProjectService: + """Provides a ProjectService""" + return ProjectService() + + +async def get_job_service() -> JobService: + """Provides a JobService""" + return JobService() + + +async def get_media_service() -> MediaService: + """Provides a MediaService""" + return MediaService() + + +async def get_scheduler(request: Request) -> Scheduler: + """Provides the global Scheduler instance.""" + return request.app.state.scheduler + + +async def get_model_service(scheduler: Annotated[Scheduler, Depends(get_scheduler)]) -> ModelService: + """Provides a ModelService with access to the model reload event""" + return ModelService(mp_model_reload_event=scheduler.mp_model_reload_event) + + +@lru_cache +def get_metrics_service(scheduler: Annotated[Scheduler, Depends(get_scheduler)]) -> MetricsService: + """Provides a MetricsService instance for collecting and retrieving metrics.""" + return MetricsService(scheduler.shm_metrics.name, scheduler.shm_metrics_lock) + + +async def get_active_pipeline_service(scheduler: Annotated[Scheduler, Depends(get_scheduler)]) -> ActivePipelineService: + """ + Provides an ActivePipelineService instance for managing the active pipeline. + + This dependency is designed for use in FastAPI endpoints and creates a service + without the daemon thread. For worker processes, create ActivePipelineService + directly with the config_changed_condition. + """ + # Create service without daemon thread for API endpoints + return await ActivePipelineService.create(scheduler.mp_config_changed_condition) + + +@lru_cache +def get_configuration_service( + active_pipeline_service: Annotated[ActivePipelineService, Depends(get_active_pipeline_service)], + scheduler: Annotated[Scheduler, Depends(get_scheduler)], +) -> ConfigurationService: + """Provides a ConfigurationService instance with the active pipeline service and config changed condition.""" + return ConfigurationService( + active_pipeline_service=active_pipeline_service, + config_changed_condition=scheduler.mp_config_changed_condition, + ) + + +@lru_cache +def get_pipeline_service( + active_pipeline_service: Annotated[ActivePipelineService, Depends(get_active_pipeline_service)], + scheduler: Annotated[Scheduler, Depends(get_scheduler)], + model_service: Annotated[ModelService, Depends(get_model_service)], +) -> PipelineService: + """Provides a PipelineService instance with the active pipeline service and config changed condition.""" + return PipelineService( + active_pipeline_service=active_pipeline_service, + config_changed_condition=scheduler.mp_config_changed_condition, + model_service=model_service, + ) + + +def get_pipeline_metrics_service( + pipeline_service: Annotated[PipelineService, Depends(get_pipeline_service)], + metrics_service: Annotated[MetricsService, Depends(get_metrics_service)], +) -> PipelineMetricsService: + """Provides a PipelineMetricsService instance.""" + return PipelineMetricsService( + pipeline_service=pipeline_service, + metrics_service=metrics_service, + ) + + +def is_valid_uuid(identifier: str) -> bool: + """ + Check if a given string identifier is formatted as a valid UUID + + :param identifier: String to check + :return: True if valid UUID, False otherwise + """ + try: + UUID(identifier) + except ValueError: + return False + return True + + +def get_uuid(identifier: str, name: str) -> UUID: + """Initializes and validates a source ID""" + if not is_valid_uuid(identifier): + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=f"Invalid {name} ID") + return UUID(identifier) + + +async def get_source_id(source_id: str) -> UUID: + """Initializes and validates a source ID""" + if not is_valid_uuid(source_id): + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Invalid source ID") + return UUID(source_id) + + +async def get_sink_id(sink_id: str) -> UUID: + """Initializes and validates a sink ID""" + if not is_valid_uuid(sink_id): + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Invalid sink ID") + return UUID(sink_id) + + +async def get_project_id(project_id: str) -> UUID: + """Initializes and validates a project ID""" + return get_uuid(project_id, "project") + + +async def get_media_id(media_id: str) -> UUID: + """Initializes and validates a media ID""" + return get_uuid(media_id, "media") + + +async def get_model_id(model_id: str) -> UUID: + """Initializes and validates a media ID""" + return get_uuid(model_id, "model") + + +async def get_job_id(job_id: str) -> UUID: + """Initializes and validates a job ID""" + return get_uuid(job_id, "job") + + +async def get_webrtc_manager(request: Request) -> WebRTCManager: + """Provides the global WebRTCManager instance from FastAPI application's state.""" + return request.app.state.webrtc_manager + + +async def get_device_name(device: Annotated[str | None, Form()] = None) -> str | None: + """Converts the device name to uppercase if provided""" + return device.upper() if device is not None else None diff --git a/application/backend/src/api/endpoints/__init__.py b/application/backend/src/api/endpoints/__init__.py new file mode 100644 index 0000000000..78c2df90e3 --- /dev/null +++ b/application/backend/src/api/endpoints/__init__.py @@ -0,0 +1,4 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +API_PREFIX = "/api" diff --git a/application/backend/src/api/endpoints/active_pipeline_endpoints.py b/application/backend/src/api/endpoints/active_pipeline_endpoints.py new file mode 100644 index 0000000000..31f7066460 --- /dev/null +++ b/application/backend/src/api/endpoints/active_pipeline_endpoints.py @@ -0,0 +1,29 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +"""Endpoints for managing active pipelines""" + +from typing import Annotated + +from fastapi import APIRouter, Depends, status + +from api.dependencies import get_pipeline_service +from pydantic_models.pipeline import Pipeline +from services import PipelineService + +router = APIRouter(prefix="/api/active-pipeline", tags=["Pipelines"]) + + +@router.get( + "", + responses={ + status.HTTP_200_OK: {"description": "Active pipeline found"}, + status.HTTP_204_NO_CONTENT: {"description": "No active pipeline found"}, + }, + response_model_exclude_none=True, +) +async def get_active_pipeline( + pipeline_service: Annotated[PipelineService, Depends(get_pipeline_service)], +) -> Pipeline | None: + """Get info about the active pipeline""" + return await pipeline_service.get_active_pipeline() diff --git a/application/backend/src/api/endpoints/devices_endpoints.py b/application/backend/src/api/endpoints/devices_endpoints.py new file mode 100644 index 0000000000..13ee1d2fe7 --- /dev/null +++ b/application/backend/src/api/endpoints/devices_endpoints.py @@ -0,0 +1,25 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from fastapi import APIRouter + +from api.endpoints import API_PREFIX +from pydantic_models.devices import DeviceList +from utils.devices import Devices + +device_router = APIRouter( + prefix=API_PREFIX, + tags=["Job"], +) + + +@device_router.get("/inference-devices") +async def get_inference_devices() -> DeviceList: + """Endpoint to get list of supported devices for inference""" + return DeviceList(devices=Devices.inference_devices()) + + +@device_router.get("/training-devices") +async def get_training_devices() -> DeviceList: + """Endpoint to get list of supported devices for training""" + return DeviceList(devices=Devices.training_devices()) diff --git a/application/backend/src/api/endpoints/job_endpoints.py b/application/backend/src/api/endpoints/job_endpoints.py new file mode 100644 index 0000000000..bb01e187fb --- /dev/null +++ b/application/backend/src/api/endpoints/job_endpoints.py @@ -0,0 +1,62 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from typing import Annotated +from uuid import UUID + +from fastapi import APIRouter, Body, Depends, status +from sse_starlette import EventSourceResponse + +from api.dependencies import get_job_id, get_job_service +from api.endpoints import API_PREFIX +from pydantic_models import JobList +from pydantic_models.job import JobCancelled, JobSubmitted, TrainJobPayload +from services import JobService + +job_api_prefix_url = API_PREFIX + "/jobs" +job_router = APIRouter( + prefix=job_api_prefix_url, + tags=["Job"], +) + + +@job_router.get("", response_model_exclude_none=True) +async def get_jobs(job_service: Annotated[JobService, Depends(get_job_service)]) -> JobList: + """Endpoint to get list of all jobs""" + return await job_service.get_job_list() + + +@job_router.post(":train") +async def submit_train_job( + job_service: Annotated[JobService, Depends(get_job_service)], + payload: Annotated[TrainJobPayload, Body()], +) -> JobSubmitted: + """Endpoint to submit a training job""" + return await job_service.submit_train_job(payload=payload) + + +@job_router.get("/{job_id}/logs") +async def get_job_logs( + job_id: Annotated[UUID, Depends(get_job_id)], + job_service: Annotated[JobService, Depends(get_job_service)], +) -> EventSourceResponse: + """Endpoint to get the logs of a job by its ID""" + return EventSourceResponse(job_service.stream_logs(job_id=job_id)) + + +@job_router.get("/{job_id}/progress") +async def get_job_progress( + job_id: Annotated[UUID, Depends(get_job_id)], + job_service: Annotated[JobService, Depends(get_job_service)], +) -> EventSourceResponse: + """Endpoint to get the progress of a job by its ID""" + return EventSourceResponse(job_service.stream_progress(job_id=job_id)) + + +@job_router.post("/{job_id}:cancel", status_code=status.HTTP_202_ACCEPTED) +async def cancel_job( + job_id: Annotated[UUID, Depends(get_job_id)], + job_service: Annotated[JobService, Depends(get_job_service)], +) -> JobCancelled: + """Endpoint to cancel a job by its ID""" + return await job_service.cancel_job(job_id=job_id) diff --git a/application/backend/src/api/endpoints/media_endpoints.py b/application/backend/src/api/endpoints/media_endpoints.py new file mode 100644 index 0000000000..98d4a9d056 --- /dev/null +++ b/application/backend/src/api/endpoints/media_endpoints.py @@ -0,0 +1,131 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from typing import Annotated +from uuid import UUID + +from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, UploadFile, status +from fastapi.responses import FileResponse + +from api.dependencies import get_media_id, get_media_service, get_project_id +from api.endpoints import API_PREFIX +from api.media_rest_validator import MediaRestValidator +from pydantic_models import Media, MediaList +from services.media_service import MediaService + +media_api_prefix_url = API_PREFIX + "/projects/{project_id}" +media_router = APIRouter( + prefix=media_api_prefix_url, + tags=["media"], +) + + +@media_router.get( + "/images", + responses={ + status.HTTP_200_OK: {"description": "List of media items retrieved successfully"}, + status.HTTP_404_NOT_FOUND: {"description": "Project not found"}, + }, +) +async def get_media_list( + media_service: Annotated[MediaService, Depends(get_media_service)], + project_id: Annotated[UUID, Depends(get_project_id)], +) -> MediaList: + """Endpoint to get list of all media""" + return await media_service.get_media_list(project_id=project_id) + + +@media_router.get( + "/images/{media_id}/full", + response_model_exclude_none=True, + responses={ + status.HTTP_200_OK: {"description": "Media file retrieved successfully"}, + status.HTTP_404_NOT_FOUND: {"description": "Media not found"}, + }, +) +async def get_media( + media_service: Annotated[MediaService, Depends(get_media_service)], + project_id: Annotated[UUID, Depends(get_project_id)], + media_id: Annotated[UUID, Depends(get_media_id)], +) -> FileResponse: + """Endpoint to get media metadata by ID""" + try: + return FileResponse(await media_service.get_media_file_path(project_id=project_id, media_id=media_id)) + except FileNotFoundError as e: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Media with ID {media_id} not found", + ) from e + + +@media_router.get( + "/images/{media_id}/thumbnail", + response_model_exclude_none=True, + responses={ + status.HTTP_200_OK: {"description": "Thumbnail retrieved successfully"}, + status.HTTP_404_NOT_FOUND: {"description": "Media not found"}, + }, +) +async def get_media_thumbnail( + media_service: Annotated[MediaService, Depends(get_media_service)], + project_id: Annotated[UUID, Depends(get_project_id)], + media_id: Annotated[UUID, Depends(get_media_id)], +) -> FileResponse: + """Return a PNG thumbnail for the requested image.""" + try: + return FileResponse(await media_service.get_thumbnail_file_path(project_id=project_id, media_id=media_id)) + except FileNotFoundError as e: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Media with ID {media_id} not found", + ) from e + + +@media_router.delete( + "/images/{media_id}", + status_code=status.HTTP_204_NO_CONTENT, + responses={ + status.HTTP_204_NO_CONTENT: { + "description": "Image successfully deleted", + }, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid image ID"}, + status.HTTP_404_NOT_FOUND: {"description": "Image not found"}, + }, +) +async def delete_media( + media_service: Annotated[MediaService, Depends(get_media_service)], + project_id: Annotated[UUID, Depends(get_project_id)], + media_id: Annotated[UUID, Depends(get_media_id)], +) -> None: + """Remove an image""" + await media_service.delete_media(media_id=media_id, project_id=project_id) + + +@media_router.post( + "/capture", + response_model_exclude_none=True, + status_code=status.HTTP_201_CREATED, + responses={ + status.HTTP_201_CREATED: {"description": "Image captured successfully"}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid image file"}, + }, +) +async def capture_image( + media_service: Annotated[MediaService, Depends(get_media_service)], + project_id: Annotated[UUID, Depends(get_project_id)], + file: Annotated[UploadFile, Depends(MediaRestValidator.validate_image_file)], + background_tasks: BackgroundTasks, +) -> Media: + """Endpoint to capture an image""" + image_bytes = await file.read() + media = await media_service.upload_image( + project_id=project_id, file=file, image_bytes=image_bytes, is_anomalous=False + ) + + background_tasks.add_task( + media_service.generate_thumbnail, + project_id=project_id, + media_id=media.id, + image_bytes=image_bytes, + ) + return media diff --git a/application/backend/src/api/endpoints/model_endpoints.py b/application/backend/src/api/endpoints/model_endpoints.py new file mode 100644 index 0000000000..f5e1c9436d --- /dev/null +++ b/application/backend/src/api/endpoints/model_endpoints.py @@ -0,0 +1,88 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from typing import Annotated +from uuid import UUID + +from fastapi import APIRouter, Depends, HTTPException, Request, UploadFile, status + +from api.dependencies import get_device_name, get_model_id, get_model_service, get_project_id +from api.endpoints.project_endpoints import project_api_prefix_url +from api.media_rest_validator import MediaRestValidator +from exceptions import ResourceNotFoundException +from pydantic_models import Model, ModelList, PredictionResponse +from services import ModelService +from services.exceptions import DeviceNotFoundError + +model_api_prefix_url = project_api_prefix_url + "/{project_id}/models" +model_router = APIRouter( + prefix=model_api_prefix_url, + tags=["Model"], +) + + +@model_router.get("") +async def get_models( + model_service: Annotated[ModelService, Depends(get_model_service)], + project_id: Annotated[UUID, Depends(get_project_id)], +) -> ModelList: + """Endpoint to get list of all models""" + return await model_service.get_model_list(project_id=project_id) + + +@model_router.get("/{model_id}") +async def get_model_info_by_id( + model_service: Annotated[ModelService, Depends(get_model_service)], + project_id: Annotated[UUID, Depends(get_project_id)], + model_id: Annotated[UUID, Depends(get_model_id)], +) -> Model: + """Endpoint to get model metadata by ID""" + model = await model_service.get_model_by_id(project_id=project_id, model_id=model_id) + if model is None: + raise ResourceNotFoundException(resource_id=model_id, resource_name="model") + return model + + +@model_router.post("/{model_id}:predict") +async def predict( + request: Request, + model_service: Annotated[ModelService, Depends(get_model_service)], + project_id: Annotated[UUID, Depends(get_project_id)], + model_id: Annotated[UUID, Depends(get_model_id)], + file: Annotated[UploadFile, Depends(MediaRestValidator.validate_image_file)], + device: Annotated[str | None, Depends(get_device_name)] = None, +) -> PredictionResponse: + """ + Run prediction on an uploaded image using the specified model. + + Returns prediction results including anomaly map, label, and confidence score. + """ + # Get model from database + model = await model_service.get_model_by_id(project_id=project_id, model_id=model_id) + if model is None: + raise ResourceNotFoundException(resource_id=model_id, resource_name="model") + + # Read uploaded image and run prediction with model caching + # Models are cached in request.app.state.active_models for performance + image_bytes = await file.read() + try: + return await model_service.predict_image(model, image_bytes, request.app.state.active_models, device=device) + except DeviceNotFoundError as e: + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e)) + + +@model_router.delete( + "/{model_id}", + status_code=status.HTTP_204_NO_CONTENT, + responses={ + status.HTTP_204_NO_CONTENT: {"description": "Model and exported artifacts successfully deleted"}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid model ID"}, + status.HTTP_404_NOT_FOUND: {"description": "Model not found"}, + }, +) +async def delete_model( + model_service: Annotated[ModelService, Depends(get_model_service)], + project_id: Annotated[UUID, Depends(get_project_id)], + model_id: Annotated[UUID, Depends(get_model_id)], +) -> None: + """Delete a model and any exported artifacts.""" + await model_service.delete_model(project_id=project_id, model_id=model_id) diff --git a/application/backend/src/api/endpoints/pipeline_endpoints.py b/application/backend/src/api/endpoints/pipeline_endpoints.py new file mode 100644 index 0000000000..f3cdd9fb1c --- /dev/null +++ b/application/backend/src/api/endpoints/pipeline_endpoints.py @@ -0,0 +1,227 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +"""Endpoints for managing pipelines""" + +from typing import Annotated +from uuid import UUID + +from fastapi import APIRouter, Body, Depends, status +from fastapi.exceptions import HTTPException +from fastapi.openapi.models import Example +from pydantic import ValidationError + +from api.dependencies import get_pipeline_metrics_service, get_pipeline_service, get_project_id +from pydantic_models.metrics import PipelineMetrics +from pydantic_models.pipeline import Pipeline, PipelineStatus +from services import PipelineService +from services.pipeline_metrics_service import PipelineMetricsService + +router = APIRouter(prefix="/api/projects/{project_id}/pipeline", tags=["Pipelines"]) + +UPDATE_PIPELINE_BODY_DESCRIPTION = """ +Partial pipeline configuration update. May contain any subset of fields including 'name', 'source_id', +'sink_id', or 'model_id'. Fields not included in the request will remain unchanged. +""" +UPDATE_PIPELINE_BODY_EXAMPLES = { + "switch_model": Example( + summary="Switch active model", + description="Change the active model for the pipeline", + value={ + "model_id": "c1feaabc-da2b-442e-9b3e-55c11c2c2ff3", + }, + ), + "reconfigure": Example( + summary="Reconfigure pipeline", + description="Change the name, source and sink of the pipeline", + value={ + "name": "Updated Production Pipeline", + "source_id": "e3cbd8d0-17b8-463e-85a2-4aaed031674e", + "sink_id": "c6787c06-964b-4097-8eca-238b8cf79fc9", + }, + ), +} + + +@router.get( + "", + responses={ + status.HTTP_200_OK: {"description": "Pipeline found"}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid project ID"}, + status.HTTP_404_NOT_FOUND: {"description": "Pipeline not found"}, + }, + response_model_exclude_none=True, +) +async def get_pipeline( + project_id: Annotated[UUID, Depends(get_project_id)], + pipeline_service: Annotated[PipelineService, Depends(get_pipeline_service)], +) -> Pipeline: + """Get info about a given pipeline""" + return await pipeline_service.get_pipeline_by_id(project_id) + + +@router.patch( + "", + responses={ + status.HTTP_200_OK: {"description": "Pipeline successfully reconfigured"}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid project ID or request body"}, + status.HTTP_404_NOT_FOUND: {"description": "Pipeline not found"}, + status.HTTP_409_CONFLICT: {"description": "Pipeline cannot be reconfigured"}, + }, + response_model_exclude_none=True, +) +async def update_pipeline( + project_id: Annotated[UUID, Depends(get_project_id)], + pipeline_config: Annotated[ + dict, + Body( + description=UPDATE_PIPELINE_BODY_DESCRIPTION, + openapi_examples=UPDATE_PIPELINE_BODY_EXAMPLES, + ), + ], + pipeline_service: Annotated[PipelineService, Depends(get_pipeline_service)], +) -> Pipeline: + """Reconfigure an existing pipeline""" + if "status" in pipeline_config: + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="The 'status' field cannot be changed") + try: + return await pipeline_service.update_pipeline(project_id, pipeline_config) + except ValidationError as e: + raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail=str(e)) + + +@router.post( + ":run", + status_code=status.HTTP_204_NO_CONTENT, + responses={ + status.HTTP_204_NO_CONTENT: { + "description": "Pipeline successfully set to run (also activates it if not already active)." + }, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid project ID"}, + status.HTTP_404_NOT_FOUND: {"description": "Pipeline not found"}, + status.HTTP_409_CONFLICT: {"description": "Pipeline cannot be run"}, + }, +) +async def run_pipeline( + project_id: Annotated[UUID, Depends(get_project_id)], + pipeline_service: Annotated[PipelineService, Depends(get_pipeline_service)], +) -> None: + """ + Set the pipeline status to RUNNING. + The pipeline will start processing data from the source, run it through the model, and send results to the sink. + If the pipeline is not yet activated, it will be activated as well. + """ + try: + await pipeline_service.activate_pipeline(project_id, set_running=True) + except ValidationError as e: + raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail=str(e)) + + +@router.post( + ":stop", + status_code=status.HTTP_204_NO_CONTENT, + responses={ + status.HTTP_204_NO_CONTENT: {"description": "Pipeline stopped successfully."}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid project ID"}, + status.HTTP_404_NOT_FOUND: {"description": "Pipeline not found"}, + status.HTTP_409_CONFLICT: {"description": "Pipeline cannot be stopped"}, + }, +) +async def stop_pipeline( + project_id: Annotated[UUID, Depends(get_project_id)], + pipeline_service: Annotated[PipelineService, Depends(get_pipeline_service)], +) -> None: + """ + Stops the running pipeline but does not deactivate it. + This keeps the pipeline activated, switching to source passthrough mode. + """ + active_pipeline = await pipeline_service.get_active_pipeline() + if active_pipeline and active_pipeline.project_id != project_id: + reason = f"another pipeline `{active_pipeline.project_id}` is currently {active_pipeline.status}." + raise HTTPException( + status_code=status.HTTP_409_CONFLICT, + detail=f"Cannot stop pipeline `{project_id}`: {reason}", + ) + if not (active_pipeline and active_pipeline.project_id == project_id and active_pipeline.status.is_running): + reason = "the pipeline is not running." + raise HTTPException( + status_code=status.HTTP_409_CONFLICT, + detail=f"Cannot stop pipeline `{project_id}`: {reason}", + ) + try: + await pipeline_service.update_pipeline(project_id, {"status": PipelineStatus.ACTIVE}) + except ValidationError as e: + raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail=str(e)) + + +@router.post( + ":activate", + status_code=status.HTTP_204_NO_CONTENT, + responses={ + status.HTTP_204_NO_CONTENT: { + "description": "Pipeline successfully activated (but not necessarily running yet)." + }, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid project ID"}, + status.HTTP_404_NOT_FOUND: {"description": "Pipeline not found"}, + status.HTTP_409_CONFLICT: {"description": "Pipeline cannot be activated"}, + }, +) +async def activate_pipeline( + project_id: Annotated[UUID, Depends(get_project_id)], + pipeline_service: Annotated[PipelineService, Depends(get_pipeline_service)], +) -> None: + """ + Set the pipeline status to ACTIVE. + The pipeline will be ready to run but will not start processing data until set to RUNNING. + """ + try: + await pipeline_service.activate_pipeline(project_id) + except ValidationError as e: + raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail=str(e)) + + +@router.post( + ":disable", + status_code=status.HTTP_204_NO_CONTENT, + responses={ + status.HTTP_204_NO_CONTENT: {"description": "Pipeline successfully disabled"}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid project ID"}, + status.HTTP_404_NOT_FOUND: {"description": "Pipeline not found"}, + }, +) +async def disable_pipeline( + project_id: Annotated[UUID, Depends(get_project_id)], + pipeline_service: Annotated[PipelineService, Depends(get_pipeline_service)], +) -> None: + """Stop a pipeline. The pipeline will become idle, and it won't process any data until re-enabled.""" + await pipeline_service.update_pipeline(project_id, {"status": PipelineStatus.IDLE}) + + +@router.get( + "/metrics", + responses={ + status.HTTP_200_OK: {"description": "Pipeline metrics successfully calculated"}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid project ID or duration parameter"}, + status.HTTP_404_NOT_FOUND: {"description": "Pipeline not found"}, + }, +) +async def get_project_metrics( + project_id: Annotated[UUID, Depends(get_project_id)], + pipeline_metrics_service: Annotated[PipelineMetricsService, Depends(get_pipeline_metrics_service)], + time_window: int = 60, +) -> PipelineMetrics: + """ + Calculate model metrics for a pipeline over a specified time window. + + Returns inference latency metrics including average, min, max, 95th percentile, + and latest latency measurements over the specified duration. + """ + if time_window <= 0 or time_window > 3600: # Limit to 1 hour max + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, detail="Duration must be between 1 and 3600 seconds" + ) + + try: + return await pipeline_metrics_service.get_pipeline_metrics(project_id, time_window) + except ValueError as e: + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e)) diff --git a/application/backend/src/api/endpoints/project_endpoints.py b/application/backend/src/api/endpoints/project_endpoints.py new file mode 100644 index 0000000000..09896973de --- /dev/null +++ b/application/backend/src/api/endpoints/project_endpoints.py @@ -0,0 +1,45 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from typing import Annotated +from uuid import UUID + +from fastapi import APIRouter, Body, Depends, HTTPException, status + +from api.dependencies import get_project_id, get_project_service +from api.endpoints import API_PREFIX +from pydantic_models import Project, ProjectList +from services import ProjectService + +project_api_prefix_url = API_PREFIX + "/projects" +project_router = APIRouter( + prefix=project_api_prefix_url, + tags=["Project"], +) + + +@project_router.get("") +async def get_projects(project_service: Annotated[ProjectService, Depends(get_project_service)]) -> ProjectList: + """Endpoint to get list of all projects""" + return await project_service.get_project_list() + + +@project_router.post("") +async def create_project( + project_service: Annotated[ProjectService, Depends(get_project_service)], + project: Annotated[Project, Body()], +) -> Project: + """Endpoint to create a new project""" + return await project_service.create_project(project) + + +@project_router.get("/{project_id}") +async def get_project_by_id( + project_service: Annotated[ProjectService, Depends(get_project_service)], + project_id: Annotated[UUID, Depends(get_project_id)], +) -> Project: + """Endpoint to get project metadata by ID""" + project = await project_service.get_project_by_id(project_id) + if project is None: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Project not found") + return project diff --git a/application/backend/src/api/endpoints/sink_endpoints.py b/application/backend/src/api/endpoints/sink_endpoints.py new file mode 100644 index 0000000000..03762697e4 --- /dev/null +++ b/application/backend/src/api/endpoints/sink_endpoints.py @@ -0,0 +1,266 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +"""Endpoints for managing pipeline sinks""" + +from typing import Annotated +from uuid import UUID + +import yaml +from fastapi import APIRouter, Body, Depends, File, UploadFile, status +from fastapi.exceptions import HTTPException +from fastapi.openapi.models import Example +from fastapi.responses import FileResponse, Response +from sqlalchemy.exc import IntegrityError + +from api.dependencies import get_configuration_service, get_project_id, get_sink_id +from pydantic_models import Sink, SinkType +from pydantic_models.sink import SinkAdapter, SinkCreate, SinkCreateAdapter +from services import ConfigurationService, ResourceAlreadyExistsError, ResourceInUseError, ResourceNotFoundError + +router = APIRouter(prefix="/api/projects/{project_id}/sinks", tags=["Sinks"]) + +CREATE_SINK_BODY_DESCRIPTION = """ +Configuration for the new sink. The exact list of fields that can be configured depends on the sink type. +""" +CREATE_SINK_BODY_EXAMPLES = { + "folder": Example( + summary="Folder sink", + description="Configuration for a local filesystem folder sink", + value={ + "sink_type": "folder", + "name": "My Output Folder", + "folder_path": "/path/to/output", + "output_formats": ["image_with_predictions"], + "rate_limit": 0.2, + }, + ), + "mqtt": Example( + summary="MQTT sink", + description="Configuration for an MQTT message broker sink", + value={ + "sink_type": "mqtt", + "name": "Local MQTT Broker", + "broker_host": "localhost", + "broker_port": 1883, + "topic": "predictions", + "output_formats": ["predictions"], + }, + ), +} + +UPDATE_SINK_BODY_DESCRIPTION = """ +Partial sink configuration update. May contain any subset of fields from the respective sink type +(e.g., 'broker_host' and 'broker_port' for MQTT; 'folder_path' for folder sinks). +Fields not included in the request will remain unchanged. The 'sink_type' field cannot be changed. +""" +UPDATE_SINK_BODY_EXAMPLES = { + "folder": Example( + summary="Update folder sink", + description="Change the output path for a folder sink", + value={ + "folder_path": "/new/output/directory", + }, + ), + "mqtt": Example( + summary="Update MQTT sink", + description="Change the topic for an MQTT sink", + value={ + "topic": "new_predictions_topic", + }, + ), +} + + +@router.post( + "", + status_code=status.HTTP_201_CREATED, + responses={ + status.HTTP_201_CREATED: {"description": "Sink created", "model": Sink}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid sink ID or request body"}, + status.HTTP_409_CONFLICT: {"description": "Sink already exists"}, + }, +) +async def create_sink( + project_id: Annotated[UUID, Depends(get_project_id)], + sink_config: Annotated[ + SinkCreate, Body(description=CREATE_SINK_BODY_DESCRIPTION, openapi_examples=CREATE_SINK_BODY_EXAMPLES) + ], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> Sink: + """Create and configure a new sink""" + # Inject project_id from URL path into the config + sink_config.project_id = project_id + + # Validate the complete config + validated_sink = SinkCreateAdapter.validate_python(sink_config) + + if validated_sink.sink_type == SinkType.DISCONNECTED: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="The sink with sink_type=DISCONNECTED cannot be created", + ) + + try: + return await configuration_service.create_sink(validated_sink) + except ResourceAlreadyExistsError as e: + raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail=str(e)) + except IntegrityError: + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Name must be unique within a project") + + +@router.get( + "", + responses={ + status.HTTP_200_OK: {"description": "List of available sink configurations", "model": list[Sink]}, + }, +) +async def list_sinks( + project_id: Annotated[UUID, Depends(get_project_id)], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> list[Sink]: + """List the available sinks""" + return await configuration_service.list_sinks(project_id) + + +@router.get( + "/{sink_id}", + responses={ + status.HTTP_200_OK: {"description": "Sink found", "model": Sink}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid sink ID"}, + status.HTTP_404_NOT_FOUND: {"description": "Sink not found"}, + }, +) +async def get_sink( + project_id: Annotated[UUID, Depends(get_project_id)], + sink_id: Annotated[UUID, Depends(get_sink_id)], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> Sink: + """Get info about a sink""" + try: + return await configuration_service.get_sink_by_id(sink_id, project_id) + except ResourceNotFoundError as e: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e)) + + +@router.patch( + "/{sink_id}", + responses={ + status.HTTP_200_OK: {"description": "Sink successfully updated", "model": Sink}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid sink ID or request body"}, + status.HTTP_404_NOT_FOUND: {"description": "Sink not found"}, + }, +) +async def update_sink( + project_id: Annotated[UUID, Depends(get_project_id)], + sink_id: Annotated[UUID, Depends(get_sink_id)], + sink_config: Annotated[ + dict, + Body( + description=UPDATE_SINK_BODY_DESCRIPTION, + openapi_examples=UPDATE_SINK_BODY_EXAMPLES, + ), + ], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> Sink: + """Reconfigure an existing sink""" + if "sink_type" in sink_config: + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="The 'sink_type' field cannot be changed") + try: + return await configuration_service.update_sink(sink_id, project_id, sink_config) + except ResourceNotFoundError as e: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e)) + + +@router.post( + "/{sink_id}:export", + response_class=FileResponse, + responses={ + status.HTTP_200_OK: { + "description": "Sink configuration exported as a YAML file", + "content": { + "application/x-yaml": {"schema": {"type": "string", "format": "binary"}}, + }, + }, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid sink ID or request body"}, + status.HTTP_404_NOT_FOUND: {"description": "Sink not found"}, + }, +) +async def export_sink( + project_id: Annotated[UUID, Depends(get_project_id)], + sink_id: Annotated[UUID, Depends(get_sink_id)], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> Response: + """Export a sink to file""" + sink = await configuration_service.get_sink_by_id(sink_id, project_id) + if not sink: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Sink with ID {sink_id} not found", + ) + + yaml_content = yaml.safe_dump(sink.model_dump(mode="json", exclude={"id", "project_id"})) + + return Response( + content=yaml_content.encode("utf-8"), + media_type="application/x-yaml", + headers={"Content-Disposition": f"attachment; filename=sink_{sink_id}.yaml"}, + ) + + +@router.post( + ":import", + status_code=status.HTTP_201_CREATED, + responses={ + status.HTTP_201_CREATED: {"description": "Sink imported successfully", "model": Sink}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid YAML format or sink type is DISCONNECTED"}, + }, +) +async def import_sink( + project_id: Annotated[UUID, Depends(get_project_id)], + yaml_file: Annotated[UploadFile, File(description="YAML file containing the sink configuration")], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> Sink: + """Import a sink from file""" + try: + yaml_content = await yaml_file.read() + sink_data = yaml.safe_load(yaml_content) + + # Inject project_id from URL path + sink_data["project_id"] = str(project_id) + + sink_config = SinkAdapter.validate_python(sink_data) + if sink_config.sink_type == SinkType.DISCONNECTED: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="The sink with sink_type=DISCONNECTED cannot be imported", + ) + return await configuration_service.create_sink(sink_config) + except yaml.YAMLError as e: + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=f"Invalid YAML format: {str(e)}") + + +@router.delete( + "/{sink_id}", + status_code=status.HTTP_204_NO_CONTENT, + responses={ + status.HTTP_204_NO_CONTENT: { + "description": "Sink configuration successfully deleted", + }, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid sink ID"}, + status.HTTP_404_NOT_FOUND: {"description": "Sink not found"}, + status.HTTP_409_CONFLICT: {"description": "Sink is used by at least one pipeline"}, + }, +) +async def delete_sink( + project_id: Annotated[UUID, Depends(get_project_id)], + sink_id: Annotated[UUID, Depends(get_sink_id)], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> None: + """Remove a sink""" + try: + await configuration_service.delete_sink_by_id(sink_id, project_id) + except ResourceNotFoundError as e: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e)) + except ResourceInUseError as e: + raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail=str(e)) diff --git a/application/backend/src/api/endpoints/source_endpoints.py b/application/backend/src/api/endpoints/source_endpoints.py new file mode 100644 index 0000000000..d80b866f19 --- /dev/null +++ b/application/backend/src/api/endpoints/source_endpoints.py @@ -0,0 +1,277 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +"""Endpoints for managing pipeline sources""" + +from typing import Annotated +from uuid import UUID + +import yaml +from fastapi import APIRouter, Body, Depends, File, UploadFile, status +from fastapi.exceptions import HTTPException +from fastapi.openapi.models import Example +from fastapi.responses import FileResponse, Response +from sqlalchemy.exc import IntegrityError + +from api.dependencies import get_configuration_service, get_project_id, get_source_id +from pydantic_models import Source, SourceType +from pydantic_models.source import SourceAdapter, SourceCreate, SourceCreateAdapter +from services import ConfigurationService, ResourceAlreadyExistsError, ResourceInUseError, ResourceNotFoundError + +router = APIRouter(prefix="/api/projects/{project_id}/sources", tags=["Sources"]) + +CREATE_SOURCE_BODY_DESCRIPTION = """ +Configuration for the new source. The exact list of fields that can be configured depends on the source type. +""" +CREATE_SOURCE_BODY_EXAMPLES = { + "webcam": Example( + summary="Webcam source", + description="Configuration for a webcam source", + value={ + "source_type": "webcam", + "name": "My Webcam", + "device_id": 0, + }, + ), + "ip_camera": Example( + summary="IP camera source", + description="Configuration for an IP camera source", + value={ + "source_type": "ip_camera", + "name": "IP Camera 1", + "stream_url": "rtsp://192.168.1.100:554/stream1", + "auth_required": True, + }, + ), + "video_file": Example( + summary="Video file source", + description="Configuration for a video file source", + value={ + "source_type": "video_file", + "name": "Camera recording 123", + "video_path": "/path/to/video.mp4", + }, + ), + "images_folder": Example( + summary="Images folder source", + description="Configuration for a folder containing images source", + value={ + "source_type": "images_folder", + "name": "Production Samples", + "folder_path": "/path/to/images", + "ignore_existing_images": True, + }, + ), +} + +UPDATE_SOURCE_BODY_DESCRIPTION = """ +Partial source configuration update. May contain any subset of fields from the respective source type +(e.g., 'device_id' for webcams; 'video_path' for video files). +Fields not included in the request will remain unchanged. The 'source_type' field cannot be changed. +""" +UPDATE_SOURCE_BODY_EXAMPLES = { + "webcam": Example( + summary="Update webcam source", + description="Rename a webcam source", + value={ + "name": "Updated Webcam Name", + }, + ), + "video_file": Example( + summary="Update video file source", + description="Change the video path for a video file source", + value={ + "video_path": "/new/path/to/video.mp4", + }, + ), +} + + +@router.post( + "", + status_code=status.HTTP_201_CREATED, + responses={ + status.HTTP_201_CREATED: {"description": "Source created", "model": Source}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid source ID or request body"}, + status.HTTP_409_CONFLICT: {"description": "Source already exists"}, + }, +) +async def create_source( + project_id: Annotated[UUID, Depends(get_project_id)], + source_config: Annotated[ + SourceCreate, Body(description=CREATE_SOURCE_BODY_DESCRIPTION, openapi_examples=CREATE_SOURCE_BODY_EXAMPLES) + ], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> Source: + """Create and configure a new source""" + # Inject project_id from URL path into the config + source_config.project_id = project_id + + # Validate the complete config + validated_source = SourceCreateAdapter.validate_python(source_config) + + if validated_source.source_type == SourceType.DISCONNECTED: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, detail="The source with source_type=DISCONNECTED cannot be created" + ) + + try: + return await configuration_service.create_source(validated_source) + except ResourceAlreadyExistsError as e: + raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail=str(e)) + except IntegrityError: + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Name must be unique within a project") + + +@router.get( + "", + responses={ + status.HTTP_200_OK: {"description": "List of available source configurations", "model": list[Source]}, + }, +) +async def list_sources( + project_id: Annotated[UUID, Depends(get_project_id)], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> list[Source]: + """List the available sources""" + return await configuration_service.list_sources(project_id) + + +@router.get( + "/{source_id}", + responses={ + status.HTTP_200_OK: {"description": "Source found", "model": Source}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid source ID"}, + status.HTTP_404_NOT_FOUND: {"description": "Source not found"}, + }, +) +async def get_source( + project_id: Annotated[UUID, Depends(get_project_id)], + source_id: Annotated[UUID, Depends(get_source_id)], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> Source: + """Get info about a source""" + try: + return await configuration_service.get_source_by_id(source_id, project_id) + except ResourceNotFoundError as e: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e)) + + +@router.patch( + "/{source_id}", + responses={ + status.HTTP_200_OK: {"description": "Source successfully updated", "model": Source}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid source ID or request body"}, + status.HTTP_404_NOT_FOUND: {"description": "Source not found"}, + }, +) +async def update_source( + project_id: Annotated[UUID, Depends(get_project_id)], + source_id: Annotated[UUID, Depends(get_source_id)], + source_config: Annotated[ + dict, + Body( + description=UPDATE_SOURCE_BODY_DESCRIPTION, + openapi_examples=UPDATE_SOURCE_BODY_EXAMPLES, + ), + ], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> Source: + """Reconfigure an existing source""" + if "source_type" in source_config: + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="The 'source_type' field cannot be changed") + try: + return await configuration_service.update_source(source_id, project_id, source_config) + except ResourceNotFoundError as e: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e)) + + +@router.post( + "/{source_id}:export", + response_class=FileResponse, + responses={ + status.HTTP_200_OK: { + "description": "Source configuration exported as a YAML file", + "content": { + "application/x-yaml": {"schema": {"type": "string", "format": "binary"}}, + }, + }, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid source ID or request body"}, + status.HTTP_404_NOT_FOUND: {"description": "Source not found"}, + }, +) +async def export_source( + project_id: Annotated[UUID, Depends(get_project_id)], + source_id: Annotated[UUID, Depends(get_source_id)], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> Response: + """Export a source to file""" + source = await configuration_service.get_source_by_id(source_id, project_id) + if not source: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=f"Source with ID {source_id} not found") + + yaml_content = yaml.safe_dump(source.model_dump(mode="json", exclude={"id", "project_id"})) + + return Response( + content=yaml_content.encode("utf8"), + media_type="application/x-yaml", + headers={"Content-Disposition": f"attachment; filename=source_{source_id}.yaml"}, + ) + + +@router.post( + ":import", + status_code=status.HTTP_201_CREATED, + responses={ + status.HTTP_201_CREATED: {"description": "Source imported successfully", "model": Source}, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid YAML format or source type is DISCONNECTED"}, + }, +) +async def import_source( + project_id: Annotated[UUID, Depends(get_project_id)], + yaml_file: Annotated[UploadFile, File(description="YAML file containing the source configuration")], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> Source: + """Import a source from file""" + try: + yaml_content = await yaml_file.read() + source_data = yaml.safe_load(yaml_content) + + # Inject project_id from URL path + source_data["project_id"] = str(project_id) + + source_config = SourceAdapter.validate_python(source_data) + if source_config.source_type == SourceType.DISCONNECTED: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="The source with source_type=DISCONNECTED cannot be imported", + ) + return await configuration_service.create_source(source_config) + except yaml.YAMLError as e: + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=f"Invalid YAML format: {str(e)}") + + +@router.delete( + "/{source_id}", + status_code=status.HTTP_204_NO_CONTENT, + responses={ + status.HTTP_204_NO_CONTENT: { + "description": "Source configuration successfully deleted", + }, + status.HTTP_400_BAD_REQUEST: {"description": "Invalid source ID or source is used by at least one pipeline"}, + status.HTTP_404_NOT_FOUND: {"description": "Source not found"}, + status.HTTP_409_CONFLICT: {"description": "Source is used by at least one pipeline"}, + }, +) +async def delete_source( + project_id: Annotated[UUID, Depends(get_project_id)], + source_id: Annotated[UUID, Depends(get_source_id)], + configuration_service: Annotated[ConfigurationService, Depends(get_configuration_service)], +) -> None: + """Remove a source""" + try: + await configuration_service.delete_source_by_id(source_id, project_id) + except ResourceNotFoundError as e: + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e)) + except ResourceInUseError as e: + raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail=str(e)) diff --git a/application/backend/src/api/endpoints/trainable_models_endpoints.py b/application/backend/src/api/endpoints/trainable_models_endpoints.py new file mode 100644 index 0000000000..618edada73 --- /dev/null +++ b/application/backend/src/api/endpoints/trainable_models_endpoints.py @@ -0,0 +1,32 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from functools import lru_cache + +from anomalib.models import list_models +from fastapi import APIRouter + +from api.endpoints import API_PREFIX +from pydantic_models import TrainableModelList + +router = APIRouter(prefix=f"{API_PREFIX}/trainable-models", tags=["Trainable Models"]) + + +@lru_cache +def _get_trainable_models() -> TrainableModelList: # pragma: no cover + """Return list of trainable models with optional descriptions. + + The available models are retrieved from ``anomalib.models.list_models``. Currently, only + the model names are returned. Descriptions can be added manually in the + ``_MODEL_DESCRIPTIONS`` mapping below. + """ + model_names = sorted(list_models(case="snake")) + + return TrainableModelList(trainable_models=model_names) + + +@router.get("", summary="List trainable models") +async def list_trainable_models() -> TrainableModelList: + """GET endpoint returning available trainable model names.""" + + return _get_trainable_models() diff --git a/application/backend/src/api/endpoints/webrtc.py b/application/backend/src/api/endpoints/webrtc.py new file mode 100644 index 0000000000..1ae74c567f --- /dev/null +++ b/application/backend/src/api/endpoints/webrtc.py @@ -0,0 +1,43 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +"""WebRTC API Endpoints""" + +from typing import Annotated + +from fastapi import APIRouter, Depends, status +from fastapi.exceptions import HTTPException +from loguru import logger + +from api.dependencies import get_webrtc_manager as get_webrtc +from pydantic_models.webrtc import Answer, InputData, Offer +from webrtc.manager import WebRTCManager + +router = APIRouter(prefix="/api/webrtc", tags=["WebRTC"]) + + +@router.post( + "/offer", + responses={ + status.HTTP_200_OK: {"description": "WebRTC Answer"}, + status.HTTP_500_INTERNAL_SERVER_ERROR: {"description": "Internal Server Error"}, + }, +) +async def create_webrtc_offer(offer: Offer, webrtc_manager: Annotated[WebRTCManager, Depends(get_webrtc)]) -> Answer: + """Create a WebRTC offer""" + try: + return await webrtc_manager.handle_offer(offer) + except Exception as e: + logger.error(f"Error processing WebRTC offer: {e}") + raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e)) + + +@router.post( + "/input_hook", + responses={ + status.HTTP_200_OK: {"description": "WebRTC input data updated"}, + }, +) +async def webrtc_input_hook(data: InputData, webrtc_manager: Annotated[WebRTCManager, Depends(get_webrtc)]) -> None: + """Update webrtc input with user data""" + webrtc_manager.set_input(data) diff --git a/application/backend/src/api/media_rest_validator.py b/application/backend/src/api/media_rest_validator.py new file mode 100644 index 0000000000..b2e1576811 --- /dev/null +++ b/application/backend/src/api/media_rest_validator.py @@ -0,0 +1,43 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import os + +from fastapi import File, Request, UploadFile + +from exceptions import InvalidMediaException, PayloadTooLargeException +from pydantic_models import ImageExtension + + +class MediaRestValidator: + SUPPORTED_IMAGE_TYPES = [extension.value for extension in ImageExtension] + MAX_BYTES_SIZE = 4.7 * 1024**3 + + @staticmethod + def validate_image_file(request: Request, file: UploadFile = File(None)) -> UploadFile | None: + """ + Validates a request to upload an image, if the file is not present, returns None. + + :param request: FastAPI request that was made to upload the file + :param file: uploaded image file + :raises InvalidMediaException if the file name is empty or the file extension is + not in the supported file extensions + :raises PayloadTooLargeException when the total size of the request exceeds 8GB + """ + if file is None: + return None + + file_size = file.size if file.size else int(request.headers["content-length"]) + if file_size > MediaRestValidator.MAX_BYTES_SIZE: + raise PayloadTooLargeException(MediaRestValidator.MAX_BYTES_SIZE / (1024**2)) + + if file.filename is None: + raise InvalidMediaException("Filename can't be empty.") + + extension = list(os.path.splitext(file.filename)).pop().lower() + if extension not in MediaRestValidator.SUPPORTED_IMAGE_TYPES: + raise InvalidMediaException( + f"Not a valid image format. Received {extension}, but only the following are allowed: " + f"{str(MediaRestValidator.SUPPORTED_IMAGE_TYPES)}" + ) + return file diff --git a/application/backend/src/cli.py b/application/backend/src/cli.py new file mode 100644 index 0000000000..36a89dda2d --- /dev/null +++ b/application/backend/src/cli.py @@ -0,0 +1,155 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +"""Command line interface for interacting with the Geti Inspect application.""" + +import sys + +import click +from anomalib.deploy import ExportType + +from db import MigrationManager +from db.engine import get_sync_db_session +from db.schema import JobDB, MediaDB, ModelDB, PipelineDB, ProjectDB, SinkDB, SourceDB +from settings import get_settings + +settings = get_settings() +migration_manager = MigrationManager(settings) + + +@click.group() +def cli() -> None: + """Geti Inspect CLI""" + + +@cli.command() +def init_db() -> None: + """Initialize database with migrations""" + click.echo("Initializing database...") + + if migration_manager.initialize_database(): + click.echo("✓ Database initialized successfully!") + sys.exit(0) + else: + click.echo("✗ Database initialization failed!") + sys.exit(1) + + +@cli.command() +def migrate() -> None: + """Run database migrations""" + click.echo("Running database migrations...") + + if migration_manager.run_migrations(): + click.echo("✓ Migrations completed successfully!") + sys.exit(0) + else: + click.echo("✗ Migration failed!") + sys.exit(1) + + +@cli.command() +def check_db() -> None: + """Check database status""" + click.echo("Checking database status...") + + # Check connection + if not migration_manager.check_connection(): + click.echo("✗ Cannot connect to database") + sys.exit(1) + + click.echo("✓ Database connection OK") + + # Check migration status + needs_migration, status = migration_manager.check_migration_status() + click.echo(f"Migration status: {status}") + + if needs_migration: + click.echo("⚠ Database needs migration") + sys.exit(2) + else: + click.echo("✓ Database is up to date") + sys.exit(0) + + +@cli.command() +@click.option("--with-model", default=False) +def seed(with_model: bool, model_name: str) -> None: + """Seed the database with test data.""" + # If the app is running, it needs to be restarted since it doesn't track direct DB changes + # Fixed IDs are used to ensure consistency in tests + click.echo("Seeding database with test data...") + with get_sync_db_session() as db: + project = ProjectDB( + id="6ee0c080-c7d9-4438-a7d2-067fd395eecf", + name="Project", + ) + db.add(project) + if with_model: + model = ModelDB( + id="977eeb18-eaac-449d-bc80-e340fbe052ad", + name=model_name, + format=ExportType.OPENVINO, + ) + db.add(model) + db.flush() + db.commit() + click.echo("✓ Seeding successful!") + + +@cli.command() +def clean_db() -> None: + """Remove all data from the database (clean but don't drop tables).""" + with get_sync_db_session() as db: + # Delete in order respecting foreign key constraints: + # 1. Pipelines (references projects, sources, sinks, models) + db.query(PipelineDB).delete() + # 2. Models (references jobs and projects) + db.query(ModelDB).delete() + # 3. Media (references projects) + db.query(MediaDB).delete() + # 4. Jobs (references projects) + db.query(JobDB).delete() + # 5. Sources (references projects) + db.query(SourceDB).delete() + # 6. Sinks (references projects) + db.query(SinkDB).delete() + # 7. Projects (parent table, can be deleted last) + db.query(ProjectDB).delete() + db.commit() + click.echo("✓ Database cleaned successfully!") + + +@cli.command() +@click.option("-m", "--message", required=True, help="Migration revision message") +@click.option("--empty", is_flag=True, default=False, help="Create an empty revision (no autogenerate)") +def create_db_revision(message: str, empty: bool) -> None: + """Generate a new Alembic migration revision.""" + click.echo("Generating migration...") + try: + migration_manager.make_revision(message=message, autogenerate=not empty) + click.echo("✓ Created new database revision") + sys.exit(0) + except Exception: + click.echo("✗ Failed to create new database revision") + sys.exit(1) + + +@cli.command() +@click.option("--target-path", default="docs/openapi.json") +def gen_api(target_path: str) -> None: + """Generate OpenAPI specification JSON file.""" + # Importing create_openapi imports threading which is slow. Importing here to not slow down other cli commands. + from create_openapi import create_openapi # noqa: PLC0415 + + try: + create_openapi(target_path=target_path) + click.echo("✓ OpenAPI specification generated successfully!") + except Exception as e: + click.echo(f"✗ Failed to generate OpenAPI specification: {e}") + sys.exit(1) + click.echo("Waiting for threading to finish...") + + +if __name__ == "__main__": + cli() diff --git a/application/backend/src/core/__init__.py b/application/backend/src/core/__init__.py new file mode 100644 index 0000000000..3a2a735562 --- /dev/null +++ b/application/backend/src/core/__init__.py @@ -0,0 +1,7 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from core.lifecycle import lifespan +from core.scheduler import Scheduler + +__all__ = ["Scheduler", "lifespan"] diff --git a/application/backend/src/core/lifecycle.py b/application/backend/src/core/lifecycle.py new file mode 100644 index 0000000000..024c54a9a4 --- /dev/null +++ b/application/backend/src/core/lifecycle.py @@ -0,0 +1,51 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +"""Application lifecycle management""" + +from collections.abc import AsyncGenerator +from contextlib import asynccontextmanager + +from fastapi import FastAPI +from loguru import logger + +from core.logging import setup_logging, setup_uvicorn_logging +from core.scheduler import Scheduler +from db import MigrationManager +from settings import get_settings +from webrtc.manager import WebRTCManager + + +@asynccontextmanager +async def lifespan(app: FastAPI) -> AsyncGenerator[None]: + """FastAPI lifespan context manager""" + # Startup + setup_logging() + setup_uvicorn_logging() + + settings = get_settings() + logger.info(f"Starting {settings.app_name} application...") + + # Initialize database with migrations + migration_manager = MigrationManager(settings) + if not migration_manager.initialize_database(): + logger.error("Failed to initialize database. Application cannot start.") + raise RuntimeError("Database initialization failed") + + # Initialize Scheduler + app_scheduler = Scheduler() + app_scheduler.start_workers() + app.state.scheduler = app_scheduler + app.state.active_models = {} + + webrtc_manager = WebRTCManager(app_scheduler.rtc_stream_queue) + app.state.webrtc_manager = webrtc_manager + logger.info("Application startup completed") + + yield + + # Shutdown + logger.info(f"Shutting down {settings.app_name} application...") + await webrtc_manager.cleanup() + app_scheduler.shutdown() + logger.info("Application shutdown completed") diff --git a/application/backend/src/core/logging/__init__.py b/application/backend/src/core/logging/__init__.py new file mode 100644 index 0000000000..fbb719f2a0 --- /dev/null +++ b/application/backend/src/core/logging/__init__.py @@ -0,0 +1,7 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from .log_config import LogConfig +from .setup import global_log_config, setup_logging, setup_uvicorn_logging + +__all__ = ["LogConfig", "global_log_config", "setup_logging", "setup_uvicorn_logging"] diff --git a/application/backend/src/core/logging/handlers.py b/application/backend/src/core/logging/handlers.py new file mode 100644 index 0000000000..29bfd8cad8 --- /dev/null +++ b/application/backend/src/core/logging/handlers.py @@ -0,0 +1,43 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import inspect +import logging + +from loguru import logger + + +class InterceptHandler(logging.Handler): + """ + This handler intercepts standard logging calls and forwards them to loguru + while preserving the original caller information. + """ + + def emit(self, record: logging.LogRecord) -> None: + # Get corresponding Loguru level if it exists. + level: str | int + try: + level = logger.level(record.levelname).name + except ValueError: + level = record.levelno + + # Find caller from where originated the logged message. + frame, depth = inspect.currentframe(), 0 + while frame and (depth == 0 or frame.f_code.co_filename == logging.__file__): + frame = frame.f_back + depth += 1 + + logger.opt(depth=depth, exception=record.exc_info).log(level, record.getMessage()) + + +class LoggerStdoutWriter: + """Wrapper for redirecting stdout to logger""" + + @staticmethod + def write(msg: str) -> None: + msg = msg.rstrip("\n") + if msg: + logger.info(msg) + + @staticmethod + def flush() -> None: + pass diff --git a/application/backend/src/core/logging/log_config.py b/application/backend/src/core/logging/log_config.py new file mode 100644 index 0000000000..99b6004112 --- /dev/null +++ b/application/backend/src/core/logging/log_config.py @@ -0,0 +1,35 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import os +from dataclasses import dataclass +from pathlib import Path +from typing import ClassVar + +from settings import get_settings +from workers import DispatchingWorker, InferenceWorker, StreamLoader, TrainingWorker + +settings = get_settings() +WORKERS_FOLDER = os.path.join(settings.log_dir, "workers") +JOBS_FOLDER = os.path.join(settings.log_dir, "jobs") + + +@dataclass +class LogConfig: + """Configuration for logging behavior.""" + + rotation: str = "10 MB" + retention: str = "10 days" + level: str = "DEBUG" + serialize: bool = True + log_folder: Path = settings.log_dir + # Mapping of worker classes to their dedicated log files + # None key is used for application-level logs that don't belong to any specific worker + worker_log_info: ClassVar[dict[str | None, str]] = { + TrainingWorker.__name__: "training.log", + InferenceWorker.__name__: "inference.log", + DispatchingWorker.__name__: "dispatching.log", + StreamLoader.__name__: "stream_loader.log", + None: "app.log", + } + tensorboard_log_path: str = os.path.join(settings.log_dir, "tensorboard") diff --git a/application/backend/src/core/logging/setup.py b/application/backend/src/core/logging/setup.py new file mode 100644 index 0000000000..5693cbff86 --- /dev/null +++ b/application/backend/src/core/logging/setup.py @@ -0,0 +1,113 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +"""Logging configuration and utilities for the application. + +Provides centralized logging using loguru with: +- Worker-specific log files (training, inference, dispatching, stream loading) +- Job-specific temporary log files via context managers +- Automatic log rotation (10MB) and retention (10 days) +- JSON serialization and thread-safe async logging +""" + +import logging +import os +from typing import TYPE_CHECKING + +from core.logging.handlers import InterceptHandler +from core.logging.log_config import LogConfig + +if TYPE_CHECKING: + from loguru import Record + +from loguru import logger + +global_log_config = LogConfig() + + +def setup_logging(config: LogConfig | None = None) -> None: + """Configure application-wide logging with worker-specific log files. + + Creates separate log files for each worker type (training, inference, etc.) with + configurable rotation and retention. Logs are filtered by the 'worker' field in + record extras and serialized as JSON. + + Args: + config: Optional LogConfig instance. If None, uses default configuration. + + Important: Must be called in each child process (BaseProcessWorker does this + automatically) and once at main process startup. Loguru sinks don't transfer + to child processes. + + Example: + >>> setup_logging() + # Creates: logs/training.log, logs/inference.log, logs/app.log, etc. + >>> custom_config = LogConfig(rotation="50 MB", level="INFO") + >>> setup_logging(custom_config) + """ + global global_log_config # noqa: PLW0603 + + if config is None: + config = LogConfig() + + # overwrite global log_config + global_log_config = config + + for worker_name, log_file in global_log_config.worker_log_info.items(): + + def worker_log_filter(record: "Record", worker: str | None = worker_name) -> bool: + return record["extra"].get("worker") == worker + + log_path = os.path.join(config.log_folder, log_file) + + try: + os.makedirs(os.path.dirname(log_path), exist_ok=True) + except OSError as e: + logger.warning(f"Failed to create log directory {log_path}: {e}") + continue + + try: + logger.add( + log_path, + rotation=config.rotation, + retention=config.retention, + level=config.level, + filter=worker_log_filter, + serialize=config.serialize, + enqueue=True, + ) + except Exception as e: + logger.error(f"Failed to add log sink for {worker_name}: {e}") + + +def setup_uvicorn_logging() -> None: + """Configure uvicorn logging to be handled by loguru. + + Intercepts all uvicorn log messages (from uvicorn.error, uvicorn.access, etc.) + and redirects them to loguru for unified logging output. This ensures uvicorn + logs follow the same format and routing as application logs. + + The function: + 1. Attaches InterceptHandler to the main uvicorn logger + 2. Sets propagate=False on uvicorn logger to prevent duplicate logs to root + 3. Clears handlers from child loggers (uvicorn.access, uvicorn.error) + 4. Enables propagation on child loggers so they forward to parent uvicorn logger + + Note: This should be called during application startup, typically before + starting the uvicorn server. + + Example: + >>> setup_uvicorn_logging() + # All uvicorn logs now flow through loguru + """ + # Setup uvicorn logs to be handled by loguru + # Configure the main uvicorn logger with InterceptHandler + uvicorn_logger = logging.getLogger("uvicorn") + uvicorn_logger.handlers = [InterceptHandler()] + uvicorn_logger.setLevel(logging.INFO) + uvicorn_logger.propagate = False # Don't propagate to root to avoid duplicate logs + # Clear handlers from child loggers and let them propagate to parent uvicorn logger + for logger_name in ("uvicorn.access", "uvicorn.error"): + child_logger = logging.getLogger(logger_name) + child_logger.handlers.clear() + child_logger.propagate = True # Propagate to parent uvicorn logger diff --git a/application/backend/src/core/logging/utils.py b/application/backend/src/core/logging/utils.py new file mode 100644 index 0000000000..b7d8587abb --- /dev/null +++ b/application/backend/src/core/logging/utils.py @@ -0,0 +1,104 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import os +from collections.abc import Generator +from contextlib import contextmanager +from uuid import UUID + +from loguru import logger + +from core.logging.setup import global_log_config + + +def _validate_job_id(job_id: str | UUID) -> str | UUID: + """Validate job_id to prevent path traversal attacks. + + Args: + job_id: The job identifier to validate + + Returns: + Validated job_id + + Raises: + ValueError: If job_id is not a valid UUID + """ + # Only allow alphanumeric, hyphens, underscores + try: + UUID(str(job_id)) + except ValueError as e: + raise ValueError( + f"Invalid job_id '{job_id}'. Only alphanumeric characters, hyphens, and underscores are allowed." + ) from e + return job_id + + +def get_job_logs_path(job_id: str | UUID) -> str: + """Get the path to the logs folder for a specific job. + + Args: + job_id: Unique identifier for the job + + Returns: + str: Path to the job's logs folder (logs/jobs/{job_id}) + + Raises: + ValueError: If job_id contains invalid characters + + Example: + >>> get_job_logs_path(job_id="foo-123") + 'logs/jobs/foo-123' + """ + job_id = _validate_job_id(job_id) + jobs_folder = os.path.join(global_log_config.log_folder, "jobs") + try: + os.makedirs(jobs_folder, exist_ok=True) + except OSError as e: + raise RuntimeError(f"Failed to create jobs log directory: {e}") from e + return os.path.join(jobs_folder, f"{job_id}.log") + + +@contextmanager +def job_logging_ctx(job_id: str | UUID) -> Generator[str]: + """Add a temporary log sink for a specific job. + + Captures all logs emitted during the context to logs/jobs/{job_id}.log. + The sink is automatically removed on exit, but the log file persists. + Logs also continue to go to other configured sinks. + + Args: + job_id: Unique identifier for the job, used as the log filename + + Yields: + str: Path to the created log file (logs/jobs/{job_id}.log) + + Raises: + ValueError: If job_id contains invalid characters + RuntimeError: If log directory creation or sink addition fails + + Example: + >>> with job_logging_ctx(job_id="foo-123"): + ... logger.info("bar") # All logs saved to logs/jobs/train-123.log + """ + job_id = _validate_job_id(job_id) + + log_file = get_job_logs_path(job_id) + + try: + sink_id = logger.add( + log_file, + rotation=global_log_config.rotation, + retention=global_log_config.retention, + level=global_log_config.level, + serialize=global_log_config.serialize, + enqueue=True, + ) + except Exception as e: + raise RuntimeError(f"Failed to add log sink for job {job_id}: {e}") from e + + try: + logger.info(f"Started logging to {log_file}") + yield log_file + finally: + logger.info(f"Stopped logging to {log_file}") + logger.remove(sink_id) diff --git a/application/backend/src/core/scheduler.py b/application/backend/src/core/scheduler.py new file mode 100644 index 0000000000..0268c45c63 --- /dev/null +++ b/application/backend/src/core/scheduler.py @@ -0,0 +1,172 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import atexit +import multiprocessing as mp +import os +import queue +import threading # noqa: TC003 +from multiprocessing.shared_memory import SharedMemory + +import psutil +from loguru import logger + +from services.metrics_service import SIZE +from utils.singleton import Singleton +from workers import DispatchingWorker, InferenceWorker, StreamLoader, TrainingWorker + + +class Scheduler(metaclass=Singleton): + """Manages application processes and threads""" + + FRAME_QUEUE_SIZE = 5 + PREDICTION_QUEUE_SIZE = 5 + + def __init__(self) -> None: + logger.info("Initializing Scheduler...") + # Queue for the frames acquired from the stream source and decoded + self.frame_queue: mp.Queue = mp.Queue(maxsize=self.FRAME_QUEUE_SIZE) + # Queue for the inference results (predictions) + self.pred_queue: mp.Queue = mp.Queue(maxsize=self.PREDICTION_QUEUE_SIZE) + # Queue for pushing predictions to the visualization stream (WebRTC) + self.rtc_stream_queue: queue.Queue = queue.Queue(maxsize=1) + # Event to sync all processes on application shutdown + self.mp_stop_event = mp.Event() + # Event to signal that the model has to be reloaded + self.mp_model_reload_event = mp.Event() + # Condition variable to notify processes about configuration updates + self.mp_config_changed_condition = mp.Condition() + + # Shared memory for metrics collector + self.shm_metrics: SharedMemory = SharedMemory(create=True, size=SIZE) + self.shm_metrics_lock = mp.Lock() + + self.processes: list[mp.Process] = [] + self.threads: list[threading.Thread] = [] + logger.info("Scheduler initialized") + # Ensure we always attempt a graceful shutdown when the main process exits + atexit.register(self.shutdown) + + def start_workers(self) -> None: + """Start all worker processes and threads""" + logger.info("Starting worker processes...") + + # Create and start processes + training_proc = TrainingWorker( + stop_event=self.mp_stop_event, + logger_=logger.bind(worker=TrainingWorker.__name__), + ) + # Training worker is not a daemon so that training script can spawn child processes + training_proc.daemon = False + + # Inference worker consumes frames and produces predictions + + inference_proc = InferenceWorker( + frame_queue=self.frame_queue, + pred_queue=self.pred_queue, + stop_event=self.mp_stop_event, + model_reload_event=self.mp_model_reload_event, + shm_name=self.shm_metrics.name, + shm_lock=self.shm_metrics_lock, + logger_=logger.bind(worker=InferenceWorker.__name__), + ) + inference_proc.daemon = True + + # Dispatching worker consumes predictions and publishes to outputs/WebRTC + dispatching_thread = DispatchingWorker( + pred_queue=self.pred_queue, + rtc_stream_queue=self.rtc_stream_queue, + stop_event=self.mp_stop_event, + active_config_changed_condition=self.mp_config_changed_condition, + ) + + stream_loader_proc = StreamLoader( + frame_queue=self.frame_queue, + stop_event=self.mp_stop_event, + config_changed_condition=self.mp_config_changed_condition, + logger_=logger.bind(worker=StreamLoader.__name__), + ) + stream_loader_proc.daemon = True + + # Start all workers + training_proc.start() + inference_proc.start() + stream_loader_proc.start() + dispatching_thread.daemon = True + dispatching_thread.start() + + # Track processes and threads + self.processes.extend([training_proc, inference_proc, stream_loader_proc]) + self.threads.append(dispatching_thread) + + logger.info("All worker processes started successfully") + + def shutdown(self) -> None: + """Shutdown all processes gracefully""" + logger.info("Initiating graceful shutdown...") + + # Signal all processes to stop + self.mp_stop_event.set() + + # Get current process info for debugging + pid = os.getpid() + cur_process = psutil.Process(pid) + alive_children = [child.pid for child in cur_process.children(recursive=True) if child.is_running()] + logger.debug(f"Alive children of process '{pid}': {alive_children}") + + # Join threads first + for thread in self.threads: + if thread.is_alive(): + logger.debug(f"Joining thread: {thread.name}") + thread.join(timeout=10) + + # Join processes in reverse order so that consumers are terminated before producers. + for process in self.processes[::-1]: + if process.is_alive(): + logger.debug(f"Joining process: {process.name}") + process.join(timeout=10) + if process.is_alive(): + logger.warning(f"Force terminating process: {process.name}") + process.terminate() + process.join(timeout=2) + if process.is_alive(): + logger.error(f"Force killing process {process.name}") + process.kill() + # Explicitly close the process' resources + try: + process.close() + except Exception as e: + logger.warning(f"Error closing process {process.name}: {e}") + + logger.info("All workers shut down gracefully") + + # Clear references + self.processes.clear() + self.threads.clear() + + self._cleanup_queues() + self._cleanup_shared_memory() + + def _cleanup_queues(self) -> None: + """Final queue cleanup""" + for q, name in [(self.frame_queue, "frame_queue"), (self.pred_queue, "pred_queue")]: + if q is not None: + try: + # https://runebook.dev/en/articles/python/library/multiprocessing/multiprocessing.Queue.close + q.close() + q.join_thread() + logger.debug(f"Successfully cleaned up {name}") + except Exception as e: + logger.warning(f"Error cleaning up {name}: {e}") + + def _cleanup_shared_memory(self) -> None: + """Clean up shared memory objects""" + if hasattr(self, "shm_metrics"): + try: + self.shm_metrics.close() + self.shm_metrics.unlink() # Remove the shared memory segment + # Delete the attribute to make shutdown idempotent and prevent accidental reuse + del self.shm_metrics + logger.debug("Successfully cleaned up shared memory") + except Exception as e: + logger.warning(f"Error cleaning up shared memory: {e}") diff --git a/application/backend/src/create_openapi.py b/application/backend/src/create_openapi.py new file mode 100644 index 0000000000..3e767a612b --- /dev/null +++ b/application/backend/src/create_openapi.py @@ -0,0 +1,29 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +"""This script generates an OpenAPI JSON file for the FastAPI application.""" + +import json +from pathlib import Path + +from fastapi.openapi.utils import get_openapi + +from main import app + + +def create_openapi(target_path: str) -> None: + """Entry point for creating the OpenAPI specification""" + # Ensure target directory exists + output_path = Path(target_path) + output_path.parent.mkdir(parents=True, exist_ok=True) + + with open(output_path, "w", encoding="utf-8") as file: + open_api = get_openapi( + title=app.title, + version=app.version, + summary=app.summary, + description=app.description, + openapi_version=app.openapi_version, + routes=app.routes, + ) + json.dump(obj=open_api, fp=file, indent=2) diff --git a/application/backend/src/db/__init__.py b/application/backend/src/db/__init__.py new file mode 100644 index 0000000000..5542208356 --- /dev/null +++ b/application/backend/src/db/__init__.py @@ -0,0 +1,7 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from db.engine import get_async_db_session, get_async_db_session_ctx, init_models, sync_engine +from db.migration import MigrationManager + +__all__ = ["MigrationManager", "get_async_db_session", "get_async_db_session_ctx", "init_models", "sync_engine"] diff --git a/application/backend/src/db/engine.py b/application/backend/src/db/engine.py new file mode 100644 index 0000000000..6dac0c4368 --- /dev/null +++ b/application/backend/src/db/engine.py @@ -0,0 +1,96 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from collections.abc import AsyncGenerator, Iterator +from contextlib import asynccontextmanager, contextmanager +from sqlite3 import Connection +from typing import Any + +from sqlalchemy.engine import Engine +from sqlalchemy.engine.create import create_engine, event +from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine +from sqlalchemy.orm.session import Session, sessionmaker +from sqlalchemy.pool.impl import NullPool + +from db.schema import Base +from settings import get_settings + +settings = get_settings() + +async_engine = create_async_engine( + settings.database_url, + connect_args={"check_same_thread": False, "timeout": 30}, + # Using NullPool to disable connection pooling, which is necessary for SQLite when using multiprocessing + # https://docs.sqlalchemy.org/en/20/core/pooling.html#using-connection-pools-with-multiprocessing-or-os-fork + poolclass=NullPool, + echo=settings.db_echo, +) +async_session = async_sessionmaker(async_engine, expire_on_commit=False) + +sync_engine = create_engine( + settings.sync_database_url, + connect_args={"check_same_thread": False, "timeout": 30}, + # Using NullPool to disable connection pooling, which is necessary for SQLite when using multiprocessing + # https://docs.sqlalchemy.org/en/20/core/pooling.html#using-connection-pools-with-multiprocessing-or-os-fork + poolclass=NullPool, + echo=settings.db_echo, +) +sync_session = sessionmaker(autocommit=False, autoflush=False, bind=sync_engine) + + +@event.listens_for(Engine, "connect") +def set_sqlite_pragma(dbapi_connection: Connection, _: Any) -> None: + """Enable foreign key support for SQLite.""" + # https://docs.sqlalchemy.org/en/20/dialects/sqlite.html#foreign-key-support + # SQLAlchemy's event system does not directly expose async version + # https://docs.sqlalchemy.org/en/20/orm/extensions/asyncio.html#using-events-with-the-asyncio-extension + cursor = dbapi_connection.cursor() + cursor.execute("PRAGMA foreign_keys=ON") + cursor.close() + + +async def get_async_db_session() -> AsyncGenerator[AsyncSession, Any]: + """Get a database session. + + To be used for dependency injection. + """ + async with async_session() as session: + try: + yield session + except Exception: + await session.rollback() + raise + + +@asynccontextmanager +async def get_async_db_session_ctx() -> AsyncGenerator[AsyncSession, Any]: + """Get a database session for direct async context manager usage.""" + async with async_session() as session: + try: + yield session + except Exception: + await session.rollback() + raise + + +@contextmanager +def get_sync_db_session() -> Iterator[Session]: + """Context manager to get a database session.""" + db = sync_session() + try: + yield db + except Exception: + db.rollback() + raise + finally: + db.close() + + +async def init_models() -> None: + """Create tables if they don't already exist. + + In a real-life example we would use Alembic to manage migrations. + """ + async with async_engine.begin() as conn: + # await conn.run_sync(Base.metadata.drop_all) + await conn.run_sync(Base.metadata.create_all) diff --git a/application/backend/src/db/migration.py b/application/backend/src/db/migration.py new file mode 100644 index 0000000000..8df546cba6 --- /dev/null +++ b/application/backend/src/db/migration.py @@ -0,0 +1,135 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from alembic.config import Config +from alembic.runtime import migration +from alembic.script import ScriptDirectory +from loguru import logger +from sqlalchemy import text + +from alembic import command +from db import sync_engine as db_engine +from settings import Settings + + +class RevisionNotFoundError(Exception): + """Raised when the current revision is not found in Alembic history.""" + + +class MigrationManager: + """Manages database connections and migrations""" + + def __init__(self, settings: Settings) -> None: + self.settings = settings + self.__ensure_data_directory() + + def __ensure_data_directory(self) -> None: + """Ensure the data directory exists""" + self.settings.data_dir.mkdir(parents=True, exist_ok=True) + + @staticmethod + def check_connection() -> bool: + """Check if database connection is working""" + try: + with db_engine.connect() as conn: + conn.execute(text("SELECT 1")) + return True + except Exception as e: + logger.error(f"Database connection check failed: {e}") + return False + + def get_alembic_config(self) -> Config: + """Get Alembic configuration""" + alembic_cfg = Config(self.settings.alembic_config_path) + alembic_cfg.set_main_option("script_location", self.settings.alembic_script_location) + alembic_cfg.set_main_option("sqlalchemy.url", self.settings.sync_database_url) + return alembic_cfg + + def run_migrations(self) -> bool: + """Run database migrations""" + try: + logger.info("Running database migrations...") + alembic_cfg = self.get_alembic_config() + command.upgrade(alembic_cfg, "head") + logger.success("✓ Database migrations completed successfully") + return True + except Exception as e: + logger.error(f"✗ Database migration failed: {e}") + return False + + def check_migration_status(self) -> tuple[bool, str]: + """Check if database needs migration""" + try: + alembic_cfg = self.get_alembic_config() + script = ScriptDirectory.from_config(alembic_cfg) + current_head = script.get_current_head() + + with db_engine.connect() as conn: + context = migration.MigrationContext.configure(conn) + current_rev = context.get_current_revision() + + # Check if current_rev is in Alembic's tracked revisions + if current_rev and current_rev not in script.get_heads() + script.get_bases(): + raise RevisionNotFoundError( + f"Current revision '{current_rev}' not found in Alembic history. Please, recreate the database." + ) + + needs_migration = current_rev != current_head + status = f"Current: {current_rev or 'None'}, Head: {current_head or 'None'}" + + return needs_migration, status + + except RevisionNotFoundError: + raise + except Exception as e: + logger.warning(f"Could not check migration status: {e}") + return True, "Unknown - assuming migration needed" + + def initialize_database(self) -> bool: + """Initialize database with migrations if needed""" + try: + # Ensure data directory exists + self.__ensure_data_directory() + + # Check if we can connect + if not self.check_connection(): + logger.error("Cannot connect to database") + return False + + # Check migration status + needs_migration, status = self.check_migration_status() + logger.info(f"Migration status: {status}") + + if needs_migration: + logger.info("Database needs migration") + return self.run_migrations() + logger.success("Database is up to date") + return True + + except RevisionNotFoundError as e: + logger.error(f"Revision not found: {e}") + return False + except Exception as e: + logger.error(f"Database initialization failed: {e}") + return False + + def make_revision(self, message: str, autogenerate: bool = True) -> None: + """Create a new Alembic revision. + + Returns: path to the new revision file if successful, else None. + """ + try: + alembic_cfg = self.get_alembic_config() + script = command.revision(alembic_cfg, message=message, autogenerate=autogenerate) + + if isinstance(script, list): + for s in [s for s in script if s]: + logger.success(f"✓ Created migration {s.revision}: {s.path}") + elif script is not None: + # script is an alembic.script.revision.Revision object + logger.success(f"✓ Created migration {script.revision}: {script.path}") + else: + raise RuntimeError("Alembic did not return a revision script.") + except Exception as e: + logger.error(f"✗ Failed to create migration: {e}") + raise e diff --git a/application/backend/src/db/schema.py b/application/backend/src/db/schema.py new file mode 100644 index 0000000000..e9d5fa8d54 --- /dev/null +++ b/application/backend/src/db/schema.py @@ -0,0 +1,114 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from datetime import datetime +from uuid import uuid4 + +from sqlalchemy import JSON, BigInteger, Boolean, DateTime, Float, ForeignKey, String, Text +from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship +from sqlalchemy.sql import func + + +class Base(DeclarativeBase): + pass + + +class ProjectDB(Base): + __tablename__ = "projects" + + id: Mapped[str] = mapped_column(primary_key=True, default=lambda: str(uuid4())) + name: Mapped[str] = mapped_column(String(255), nullable=False) + created_at: Mapped[DateTime] = mapped_column(DateTime, server_default=func.current_timestamp()) + updated_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.current_timestamp()) + + pipeline = relationship("PipelineDB", back_populates="project", uselist=False, lazy="joined") + + +class MediaDB(Base): + __tablename__ = "media" + + id: Mapped[str] = mapped_column(primary_key=True, default=lambda: str(uuid4())) + project_id: Mapped[str] = mapped_column(ForeignKey("projects.id")) + filename: Mapped[str] = mapped_column(Text, nullable=False) + size: Mapped[int] = mapped_column(nullable=False) + width: Mapped[int] = mapped_column(nullable=False) + height: Mapped[int] = mapped_column(nullable=False) + is_anomalous: Mapped[bool] = mapped_column(Boolean, nullable=False) + updated_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.current_timestamp()) + created_at: Mapped[DateTime] = mapped_column(DateTime, server_default=func.current_timestamp()) + + +class ModelDB(Base): + __tablename__ = "models" + + id: Mapped[str] = mapped_column(Text, primary_key=True, default=lambda: str(uuid4())) + project_id: Mapped[str] = mapped_column(ForeignKey("projects.id")) + name: Mapped[str] = mapped_column(String(255), nullable=False) + format: Mapped[str] = mapped_column(String(64), nullable=False) + threshold: Mapped[float] = mapped_column(Float, nullable=False) + export_path: Mapped[str] = mapped_column(Text, nullable=False) + is_ready: Mapped[bool] = mapped_column(Boolean, nullable=False) + size: Mapped[int | None] = mapped_column(BigInteger, nullable=True) + created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.current_timestamp()) + train_job_id: Mapped[str] = mapped_column(ForeignKey("jobs.id", ondelete="RESTRICT")) + + +class JobDB(Base): + __tablename__ = "jobs" + + id: Mapped[str] = mapped_column(primary_key=True, default=lambda: str(uuid4())) + project_id: Mapped[str] = mapped_column(ForeignKey("projects.id")) + type: Mapped[str] = mapped_column(String(64), nullable=False) + progress: Mapped[int] = mapped_column(nullable=False) + status: Mapped[str] = mapped_column(String(64), nullable=False) + message: Mapped[str] = mapped_column(Text, nullable=False) + created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.current_timestamp()) + start_time: Mapped[datetime] = mapped_column(DateTime, server_default=func.current_timestamp()) + end_time: Mapped[datetime] = mapped_column(DateTime, server_default=func.current_timestamp()) + payload: Mapped[str] = mapped_column(JSON, nullable=False) + + +class PipelineDB(Base): + __tablename__ = "pipelines" + + project_id: Mapped[str] = mapped_column(Text, ForeignKey("projects.id", ondelete="CASCADE"), primary_key=True) + source_id: Mapped[str | None] = mapped_column(Text, ForeignKey("sources.id", ondelete="RESTRICT")) + sink_id: Mapped[str | None] = mapped_column(Text, ForeignKey("sinks.id", ondelete="RESTRICT")) + model_id: Mapped[str | None] = mapped_column(Text, ForeignKey("models.id", ondelete="RESTRICT")) + inference_device: Mapped[str | None] = mapped_column(String(64), nullable=True) + is_running: Mapped[bool] = mapped_column(Boolean, default=False) + is_active: Mapped[bool] = mapped_column(Boolean, default=False) + data_collection_policies: Mapped[list] = mapped_column(JSON, nullable=False, default=list) + created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.current_timestamp()) + updated_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.current_timestamp()) + + project = relationship("ProjectDB", back_populates="pipeline", lazy="joined") + sink = relationship("SinkDB", uselist=False, lazy="joined") + source = relationship("SourceDB", uselist=False, lazy="joined") + model = relationship("ModelDB", uselist=False, lazy="joined") + + +class SourceDB(Base): + __tablename__ = "sources" + + id: Mapped[str] = mapped_column(Text, primary_key=True, default=lambda: str(uuid4())) + project_id: Mapped[str] = mapped_column(ForeignKey("projects.id")) + name: Mapped[str] = mapped_column(String(255), nullable=False) + source_type: Mapped[str] = mapped_column(String(50), nullable=False) + config_data: Mapped[dict] = mapped_column(JSON, nullable=False) + created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.current_timestamp()) + updated_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.current_timestamp()) + + +class SinkDB(Base): + __tablename__ = "sinks" + + id: Mapped[str] = mapped_column(Text, primary_key=True, default=lambda: str(uuid4())) + project_id: Mapped[str] = mapped_column(ForeignKey("projects.id")) + name: Mapped[str] = mapped_column(String(255), nullable=False) + sink_type: Mapped[str] = mapped_column(String(50), nullable=False) + rate_limit: Mapped[float | None] = mapped_column(Float, nullable=True) + config_data: Mapped[dict] = mapped_column(JSON, nullable=False) + output_formats: Mapped[list] = mapped_column(JSON, nullable=False, default=list) + created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.current_timestamp()) + updated_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.current_timestamp()) diff --git a/application/backend/src/entities/__init__.py b/application/backend/src/entities/__init__.py new file mode 100644 index 0000000000..4057dc0163 --- /dev/null +++ b/application/backend/src/entities/__init__.py @@ -0,0 +1,2 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 diff --git a/application/backend/src/entities/base_opencv_stream.py b/application/backend/src/entities/base_opencv_stream.py new file mode 100644 index 0000000000..f2f0fffa3b --- /dev/null +++ b/application/backend/src/entities/base_opencv_stream.py @@ -0,0 +1,69 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import time +from abc import ABC +from typing import Any + +import cv2 +import numpy as np + +from entities.stream_data import StreamData +from entities.video_stream import VideoStream +from pydantic_models import SourceType + + +class BaseOpenCVStream(VideoStream, ABC): + """Base class for OpenCV-based video streams with common functionality.""" + + def __init__(self, source: str | int, source_type: SourceType, **metadata) -> None: + """Initialize OpenCV stream. + + Args: + source: Video source (device ID, file path, or URL) + source_type: Type of the video source + **metadata: Additional metadata for the stream + """ + self.source = source + self.source_type = source_type + self.metadata = metadata + self.cap: cv2.VideoCapture + self._initialize_capture() + + def _initialize_capture(self) -> None: + """Initialize the OpenCV VideoCapture.""" + self.cap = cv2.VideoCapture(self.source) + if not self.cap.isOpened(): + raise RuntimeError(f"Could not open video source: {self.source}") + + def _read_frame(self) -> np.ndarray: + """Read a frame from the capture device.""" + if self.cap is None: + raise RuntimeError("Video capture not initialized") + + ret, frame = self.cap.read() + if not ret: + return self._handle_read_failure() + return frame + + def _handle_read_failure(self) -> np.ndarray: + """Handle frame read failure. Override in subclasses for specific behavior.""" + raise RuntimeError(f"Failed to capture frame from {self.source_type.value}") + + def _get_source_metadata(self) -> dict[str, Any]: + """Get metadata specific to this source.""" + return {"source_type": self.source_type.value, **self.metadata} + + def get_data(self) -> StreamData: + """Get the latest frame from the video stream.""" + frame = self._read_frame() + return StreamData( + frame_data=frame, + timestamp=time.time(), + source_metadata=self._get_source_metadata(), + ) + + def release(self) -> None: + """Release OpenCV VideoCapture resources.""" + if self.cap is not None: + self.cap.release() diff --git a/application/backend/src/entities/images_folder_stream.py b/application/backend/src/entities/images_folder_stream.py new file mode 100644 index 0000000000..903b4e7679 --- /dev/null +++ b/application/backend/src/entities/images_folder_stream.py @@ -0,0 +1,115 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import os +import threading +from collections.abc import Callable + +import cv2 +from loguru import logger +from watchdog.events import DirCreatedEvent, DirDeletedEvent, FileCreatedEvent, FileDeletedEvent, FileSystemEventHandler +from watchdog.observers import Observer + +from entities.stream_data import StreamData +from entities.video_stream import VideoStream +from pydantic_models.source import SourceType + + +class ImagesFolderEventHandler(FileSystemEventHandler): + """ + Images folder FS event handler, watches for files adding or removing + """ + + def __init__(self, on_file_added: Callable[[str], None], on_file_deleted: Callable[[str], None]): + self.on_file_added = on_file_added + self.on_file_deleted = on_file_deleted + + def on_created(self, event: DirCreatedEvent | FileCreatedEvent) -> None: + if isinstance(event, FileCreatedEvent): + path = event.src_path if isinstance(event.src_path, str) else event.src_path.decode("utf-8") + self.on_file_added(path) + + def on_deleted(self, event: DirDeletedEvent | FileDeletedEvent) -> None: + if isinstance(event, FileDeletedEvent): + path = event.src_path if isinstance(event.src_path, str) else event.src_path.decode("utf-8") + self.on_file_deleted(path) + + +class ImagesFolderStream(VideoStream): + """Video stream implementation using images folder.""" + + def __init__(self, folder_path: str, ignore_existing_images: bool) -> None: + """Initialize images folder stream. + Args: + folder_path (str): Path to the folder with images + ignore_existing_images (bool): Flag if images, which already are in the folder at startup moment, + should be ignored + """ + self.folder_path = folder_path + logger.info(f"Using folder_path: {self.folder_path}") + + self.files = [] + if not ignore_existing_images: + self.files = [ + os.path.join(folder_path, f) + for f in os.listdir(folder_path) + if os.path.isfile(os.path.join(folder_path, f)) + ] + self.files.sort(key=os.path.getmtime) + logger.info(f"Folder contains {len(self.files)} files") + + # Lock for thread-safe operations, required by watchdog thread(s) + self.files_lock = threading.Lock() + + self._init_watchdog(folder_path) + + def _init_watchdog(self, folder_path: str) -> None: + """ + Initialize the watchdog to monitor images folder events. + :param folder_path: path to the folder with images + """ + event_handler = ImagesFolderEventHandler( + self.file_added, + self.file_deleted, + ) + + self.observer = Observer() + self.observer.schedule(event_handler, folder_path, recursive=True) + self.observer.start() + + def file_added(self, path: str) -> None: + logger.debug(f"Added file {path}") + if path not in self.files: + with self.files_lock: + self.files.append(path) + + def file_deleted(self, path: str) -> None: + logger.debug(f"Deleted file {path}") + if path in self.files: + with self.files_lock: + self.files.remove(path) + + def get_data(self) -> StreamData | None: + try: + file = self.files.pop(0) + image = cv2.imread(file) + if image is None: + # Image cannot be loaded + return None + return StreamData( + frame_data=image, + timestamp=os.path.getmtime(file), + source_metadata={ + "source_type": SourceType.IMAGES_FOLDER.value, + "folder_path": self.folder_path, + }, + ) + except IndexError: + return None + + def is_real_time(self) -> bool: + return False + + def release(self) -> None: + self.observer.stop() + self.observer.join() diff --git a/application/backend/src/entities/ip_camera_stream.py b/application/backend/src/entities/ip_camera_stream.py new file mode 100644 index 0000000000..76cf0d38ba --- /dev/null +++ b/application/backend/src/entities/ip_camera_stream.py @@ -0,0 +1,51 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import time + +import cv2 +import numpy as np +from loguru import logger + +from entities.base_opencv_stream import BaseOpenCVStream +from pydantic_models.source import IPCameraSourceConfig, SourceType + + +class IPCameraStream(BaseOpenCVStream): + """Video stream implementation using IP camera via OpenCV.""" + + MAX_RETRIES = 3 + BACKOFF_FACTOR = 0.1 + + def __init__(self, config: IPCameraSourceConfig) -> None: + """Initialize IP camera stream.""" + super().__init__( + source=config.get_configured_stream_url(), + source_type=SourceType.IP_CAMERA, + stream_url=config.stream_url, # Original stream URL is kept for metadata + ) + logger.info("IP camera stream initialized") + self.cap.set(cv2.CAP_PROP_BUFFERSIZE, 1) + + def _handle_read_failure(self) -> np.ndarray: + """Handle IP camera read failure""" + if self.cap is None: + raise RuntimeError("Video capture not initialized") + + for attempt in range(self.MAX_RETRIES): + logger.warning(f"Attempt {attempt + 1}: Failed to capture frame from IP camera, retrying...") + self.release() + self._initialize_capture() + ret, frame = self.cap.read() + if ret: + logger.info("Successfully reconnected to IP camera stream.") + return frame + time.sleep(self.BACKOFF_FACTOR * (attempt + 1)) # Exponential backoff + + raise RuntimeError("Failed to capture frame from IP camera after multiple retries") + + def is_real_time(self) -> bool: + return True + + def __enter__(self) -> "IPCameraStream": + return self diff --git a/application/backend/src/entities/stream_data.py b/application/backend/src/entities/stream_data.py new file mode 100644 index 0000000000..ce8b1d11f8 --- /dev/null +++ b/application/backend/src/entities/stream_data.py @@ -0,0 +1,42 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from dataclasses import dataclass +from typing import Any + +import numpy as np +from anomalib.data import NumpyImageBatch as PredictionResult + + +@dataclass(kw_only=True) +class InferenceData: + """ + InferenceData represents the data that is produced by the inference stage of the pipeline. + """ + + prediction: PredictionResult # prediction result, e.g., bounding boxes, masks, etc. + visualized_prediction: np.ndarray # visualized prediction (e.g., bounding boxes, masks, etc. drawn on the frame) + model_name: str # name of the model that produced the prediction + + +@dataclass(kw_only=True) +class StreamData: + """ + StreamData represents the data that flows through the various stages of the pipeline. + Each stage of the pipeline may set some of the attributes of this class, + making the corresponding information available to the subsequent stages. + """ + + # available after 'stream loading' stage + frame_data: np.ndarray # frame loaded as numpy array + timestamp: float # timestamp of the frame (epoch) + source_metadata: dict[str, Any] # unstructured metadata about the source of the frame (camera ID, video file, etc.) + + # available after 'data monitoring' stage + # TODO add information such as frame quality, anomalies detected, etc. + + # available after 'inference' stage + inference_data: InferenceData | None = None + + # available after 'model monitoring' stage + # TODO add information about drift detection, anomalies, etc. diff --git a/application/backend/src/entities/video_file_stream.py b/application/backend/src/entities/video_file_stream.py new file mode 100644 index 0000000000..254e049128 --- /dev/null +++ b/application/backend/src/entities/video_file_stream.py @@ -0,0 +1,31 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import cv2 +import numpy as np + +from entities.base_opencv_stream import BaseOpenCVStream +from pydantic_models import SourceType + + +class VideoFileStream(BaseOpenCVStream): + """Video stream implementation using video file via OpenCV.""" + + def __init__(self, video_path: str) -> None: + """Initialize video file stream.""" + super().__init__(source=video_path, source_type=SourceType.VIDEO_FILE, video_path=video_path) + + def _handle_read_failure(self) -> np.ndarray: + """Reset video to beginning when it ends and try again.""" + if self.cap is None: + raise RuntimeError("Video capture not initialized") + + # Reset video to beginning when it ends + self.cap.set(cv2.CAP_PROP_POS_FRAMES, 0) + ret, frame = self.cap.read() + if not ret: + raise RuntimeError("Failed to capture frame from video file") + return frame + + def is_real_time(self) -> bool: + return False diff --git a/application/backend/src/entities/video_stream.py b/application/backend/src/entities/video_stream.py new file mode 100644 index 0000000000..82db11b6c1 --- /dev/null +++ b/application/backend/src/entities/video_stream.py @@ -0,0 +1,46 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from abc import ABC, abstractmethod +from collections.abc import Iterator + +from loguru import logger + +from entities.stream_data import StreamData + + +class VideoStream(ABC): + """Abstract base class for video stream implementations.""" + + @abstractmethod + def get_data(self) -> StreamData | None: + """Get the latest frame from the video stream if available. + Returns: + np.ndarray: The latest frame as a numpy array or None if no frame is available + """ + + @abstractmethod + def is_real_time(self) -> bool: + """Check if the video stream is real-time. + Returns: + bool: True if the video stream is real-time, False otherwise + """ + + def __enter__(self) -> "VideoStream": + return self + + def __exit__(self, exc_type, exc_val, exc_tb): # noqa: ANN001 + self.release() + + @abstractmethod + def release(self) -> None: + """Release the video stream resources.""" + + def __iter__(self) -> Iterator[StreamData | None]: + while True: + try: + yield self.get_data() + except RuntimeError as exc: + self.release() + logger.error(f"Stream error: {exc}", exc_info=True) + return diff --git a/application/backend/src/entities/webcam_stream.py b/application/backend/src/entities/webcam_stream.py new file mode 100644 index 0000000000..11a9abb6e3 --- /dev/null +++ b/application/backend/src/entities/webcam_stream.py @@ -0,0 +1,16 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from entities.base_opencv_stream import BaseOpenCVStream +from pydantic_models import SourceType + + +class WebcamStream(BaseOpenCVStream): + """Video stream implementation using webcam via OpenCV.""" + + def __init__(self, device_id: int = 0) -> None: + """Initialize webcam stream.""" + super().__init__(source=device_id, source_type=SourceType.WEBCAM, device_id=device_id) + + def is_real_time(self) -> bool: + return True diff --git a/application/backend/src/exception_handlers.py b/application/backend/src/exception_handlers.py new file mode 100644 index 0000000000..7f67a11d2e --- /dev/null +++ b/application/backend/src/exception_handlers.py @@ -0,0 +1,137 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import http +from collections import defaultdict +from collections.abc import Sequence + +import pydantic +from fastapi import Request, status +from fastapi.encoders import jsonable_encoder +from fastapi.exceptions import RequestValidationError +from loguru import logger +from starlette.responses import JSONResponse, Response + +from exceptions import GetiBaseException +from main import app +from services import ActivePipelineConflictError, ResourceNotFoundError + + +@app.exception_handler(GetiBaseException) +def handle_base_exception(request: Request, e: GetiBaseException) -> Response: + """ + Base exception handler + """ + response = jsonable_encoder({"error_code": e.error_code, "message": e.message, "http_status": e.http_status}) + headers: dict[str, str] | None = None + # 204 skipped as No Content needs to be revalidated + if e.http_status not in {200, 201, 202, 203, 205, 206, 207, 208, 226} and request.method == "GET": + headers = {"Cache-Control": "no-cache"} # always revalidate + if e.http_status in {204, 304} or e.http_status < 200: + return Response(status_code=int(e.http_status), headers=headers) + return JSONResponse(content=response, status_code=int(e.http_status), headers=headers) + + +@app.exception_handler(500) +async def handle_error(request, exception) -> JSONResponse: # noqa: ANN001, ARG001 + """ + Handler for internal server errors + """ + logger.error(f"Internal server error: {exception}") + headers = {"Cache-Control": "no-cache"} # always revalidate + return JSONResponse( + {"internal_server_error": "An internal server error occurred."}, + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + headers=headers, + ) + + +@app.exception_handler(ResourceNotFoundError) +async def handle_resource_not_found(request: Request, exception: ResourceNotFoundError) -> JSONResponse: # noqa: ARG001 + """Handler for resource not found errors""" + logger.error(str(exception)) + return JSONResponse( + {"detail": exception.message}, + status_code=status.HTTP_404_NOT_FOUND, + headers={"Cache-Control": "no-cache"}, + ) + + +@app.exception_handler(RequestValidationError) +async def validation_exception_handler(request: Request, exc: RequestValidationError) -> JSONResponse: # noqa: ARG001 + """ + Converts a RequestValidationError to a better readable Bad request exception. + """ + reformatted_message = defaultdict(list) + for pydantic_error in exc.errors(): + # `loc` usually is a list with 2 items describing the location of the error. + # The first item specifies if the error is a body, query or path parameter and + # the second is the parameter name. Here, only the parameter name is used along + # with a message explaining what the problem with the parameter is. + loc, msg = pydantic_error["loc"], pydantic_error["msg"] + filtered_loc = loc[1:] if loc[0] in {"body", "query", "path"} else loc + field_string = ".".join(str(item) for item in filtered_loc) # nested fields with dot-notation + reformatted_message[field_string].append(msg) + + headers = {"Cache-Control": "no-cache"} # always revalidate + return JSONResponse( + status_code=status.HTTP_400_BAD_REQUEST, + content=jsonable_encoder({ + "error_code": "bad_request", + "message": reformatted_message, + "http_status": http.HTTPStatus.BAD_REQUEST.value, + }), + headers=headers, + ) + + +@app.exception_handler(pydantic.ValidationError) +async def pydantic_validation_exception_handler(request: Request, exc: pydantic.ValidationError) -> JSONResponse: # noqa: ARG001 + """ + Converts a pydantic ValidationError to a better readable Bad request exception. + """ + + def format_location(loc: Sequence[str | int]) -> str: + """ + Format location path with proper dot notation and array indices. + + Example: + format_location(['a', 0, 'b', 1, 'c']) -> 'a[0].b[1].c' + """ + result = "" + for i, item in enumerate(loc): + if isinstance(item, int): + result += f"[{item}]" + else: + result += f".{item}" if i > 0 else str(item) + return result + + errors = [ + {"message": error["msg"], "type": error["type"], "location": format_location(error.get("loc", []))} + for error in exc.errors() + ] + + headers = {"Cache-Control": "no-cache"} # always revalidate + return JSONResponse( + status_code=status.HTTP_400_BAD_REQUEST, + content=jsonable_encoder({ + "error_code": "invalid_payload", + "errors": errors, + "http_status": http.HTTPStatus.BAD_REQUEST.value, + }), + headers=headers, + ) + + +@app.exception_handler(ActivePipelineConflictError) +async def handle_active_pipeline_conflict( + request: Request, # noqa: ARG001 + exception: ActivePipelineConflictError, +) -> JSONResponse: + """Handler for active pipeline conflict errors""" + logger.error(exception.message) + return JSONResponse( + {"detail": exception.message}, + status_code=status.HTTP_409_CONFLICT, + headers={"Cache-Control": "no-cache"}, + ) diff --git a/application/backend/src/exceptions.py b/application/backend/src/exceptions.py new file mode 100644 index 0000000000..51a353de8e --- /dev/null +++ b/application/backend/src/exceptions.py @@ -0,0 +1,80 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import http +from uuid import UUID + + +class GetiBaseException(Exception): + """ + Base class for Geti exceptions with a predefined HTTP error code. + + :param message: str message providing short description of error + :param error_code: str id of error + :param http_status: int default http status code to return to user + """ + + def __init__(self, message: str, error_code: str, http_status: int) -> None: + self.message = message + self.error_code = error_code + self.http_status = http_status + super().__init__(message) + + +class InvalidMediaException(GetiBaseException): + """ + Exception raised when uploaded media file is invalid. + + :param message: str containing a custom message. + """ + + def __init__(self, message: str) -> None: + super().__init__( + message=message, + error_code="invalid_media", + http_status=http.HTTPStatus.UNSUPPORTED_MEDIA_TYPE, + ) + + +class PayloadTooLargeException(GetiBaseException): + """ + Exception raised when the request payload is too large. + + :param max_size: Max size in MB + """ + + def __init__(self, max_size: float) -> None: + super().__init__( + message=f"Request too large: exceeding {max_size} MB is not allowed.", + error_code="payload_too_large", + http_status=http.HTTPStatus.REQUEST_ENTITY_TOO_LARGE, + ) + + +class DuplicateJobException(GetiBaseException): + """ + Exception raised when attempting to submit a duplicate job. + + :param message: str containing a custom message about the duplicate job. + """ + + def __init__(self, message: str = "A job with the same payload is already running or queued") -> None: + super().__init__( + message=message, + error_code="duplicate_job", + http_status=http.HTTPStatus.CONFLICT, + ) + + +class ResourceNotFoundException(GetiBaseException): + """ + Exception raised when a resource could not be found in database. + + :param resource_id: ID of the resource that was not found + """ + + def __init__(self, resource_id: str | UUID, resource_name: str) -> None: + super().__init__( + message=f"The requested {resource_name} could not be found. {resource_name.title()} ID: `{resource_id}`.", + error_code=f"{resource_name}_not_found", + http_status=http.HTTPStatus.NOT_FOUND, + ) diff --git a/application/backend/src/main.py b/application/backend/src/main.py new file mode 100644 index 0000000000..ea1336fb36 --- /dev/null +++ b/application/backend/src/main.py @@ -0,0 +1,64 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import os + +import uvicorn +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware + +from api.endpoints.active_pipeline_endpoints import router as active_pipeline_router +from api.endpoints.devices_endpoints import device_router +from api.endpoints.job_endpoints import job_router +from api.endpoints.media_endpoints import media_router +from api.endpoints.model_endpoints import model_router +from api.endpoints.pipeline_endpoints import router as pipeline_router +from api.endpoints.project_endpoints import project_router +from api.endpoints.sink_endpoints import router as sink_router +from api.endpoints.source_endpoints import router as source_router +from api.endpoints.trainable_models_endpoints import router as trainable_model_router +from api.endpoints.webrtc import router as webrtc_router +from core.lifecycle import lifespan +from settings import get_settings + +app = FastAPI( + lifespan=lifespan, + openapi_url="/api/openapi.json", + redoc_url=None, + docs_url=None, +) + +import exception_handlers # noqa: E402 + +_ = exception_handlers # to avoid import being removed by linters + +# TODO: check if middleware is required +# Enable CORS for local test UI +app.add_middleware( + CORSMiddleware, + allow_origins=[ + "http://localhost:3000", + "http://localhost:9000", + "http://127.0.0.1:9000", + ], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) +app.include_router(project_router) +app.include_router(job_router) +app.include_router(media_router) +app.include_router(model_router) +app.include_router(pipeline_router) +app.include_router(active_pipeline_router) +app.include_router(source_router) +app.include_router(sink_router) +app.include_router(webrtc_router) +app.include_router(trainable_model_router) +app.include_router(device_router) + + +if __name__ == "__main__": + settings = get_settings() + uvicorn_port = int(os.environ.get("HTTP_SERVER_PORT", settings.port)) + uvicorn.run("main:app", loop="uvloop", host=settings.host, port=uvicorn_port, log_config=None) diff --git a/application/backend/src/pydantic_models/__init__.py b/application/backend/src/pydantic_models/__init__.py new file mode 100644 index 0000000000..0335d5a4f5 --- /dev/null +++ b/application/backend/src/pydantic_models/__init__.py @@ -0,0 +1,42 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from .job import Job, JobList, JobStatus, JobType +from .media import ImageExtension, Media, MediaList +from .metrics import InferenceMetrics, LatencyMetrics, PipelineMetrics, TimeWindow +from .model import Model, ModelList, PredictionLabel, PredictionResponse +from .pipeline import Pipeline, PipelineStatus +from .project import Project, ProjectList +from .sink import DisconnectedSinkConfig, OutputFormat, Sink, SinkType +from .source import DisconnectedSourceConfig, Source, SourceType +from .trainable_model import TrainableModelList + +__all__ = [ + "DisconnectedSinkConfig", + "DisconnectedSourceConfig", + "ImageExtension", + "InferenceMetrics", + "Job", + "JobList", + "JobStatus", + "JobType", + "LatencyMetrics", + "Media", + "MediaList", + "Model", + "ModelList", + "OutputFormat", + "Pipeline", + "PipelineMetrics", + "PipelineStatus", + "PredictionLabel", + "PredictionResponse", + "Project", + "ProjectList", + "Sink", + "SinkType", + "Source", + "SourceType", + "TimeWindow", + "TrainableModelList", +] diff --git a/application/backend/src/pydantic_models/base.py b/application/backend/src/pydantic_models/base.py new file mode 100644 index 0000000000..e5f9215694 --- /dev/null +++ b/application/backend/src/pydantic_models/base.py @@ -0,0 +1,42 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from abc import ABC +from typing import Any +from uuid import UUID, uuid4 + +from pydantic import BaseModel, Field, field_serializer +from pydantic.json_schema import SkipJsonSchema + + +class BaseIDModel(ABC, BaseModel): + """Base model with an id field.""" + + id: UUID = Field(default_factory=uuid4) + + @field_serializer("id") + def serialize_id(self, id: UUID, _info: Any) -> str: + return str(id) + + +class BaseIDNameModel(BaseIDModel): + """Base model with id and name fields.""" + + name: str = "Default Name" + + +class NoRequiredIDs(BaseModel): + """ + Mixin class for create models (POST request schemas) that makes id and project_id optional. + + This class is used as a base class for create models (e.g., WebcamSourceConfigCreate, + FolderSinkConfigCreate) to override required id and project_id fields from base classes. + Via Method Resolution Order (MRO), this class's fields take precedence, making these + fields optional and excluded from the JSON schema. + + The id field is auto-generated if not provided, and project_id is typically injected + from the URL path parameter in the endpoint handler. + """ + + project_id: SkipJsonSchema[UUID] = Field(exclude=True, default=UUID("00000000-0000-0000-0000-000000000000")) + id: SkipJsonSchema[UUID] = Field(exclude=True, default_factory=uuid4) diff --git a/application/backend/src/pydantic_models/devices.py b/application/backend/src/pydantic_models/devices.py new file mode 100644 index 0000000000..3bdbecb590 --- /dev/null +++ b/application/backend/src/pydantic_models/devices.py @@ -0,0 +1,15 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from pydantic import BaseModel + + +class DeviceList(BaseModel): + devices: list[str] + + model_config = { + "json_schema_extra": { + "example": { + "devices": ["CPU", "XPU", "NPU"], + } + } + } diff --git a/application/backend/src/pydantic_models/job.py b/application/backend/src/pydantic_models/job.py new file mode 100644 index 0000000000..d701c7900b --- /dev/null +++ b/application/backend/src/pydantic_models/job.py @@ -0,0 +1,60 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from datetime import datetime +from enum import StrEnum +from typing import Any +from uuid import UUID + +from pydantic import BaseModel, Field, computed_field, field_serializer + +from pydantic_models.base import BaseIDModel + + +class JobType(StrEnum): + TRAINING = "training" + OPTIMIZATION = "optimization" + + +class JobStatus(StrEnum): + PENDING = "pending" + RUNNING = "running" + COMPLETED = "completed" + FAILED = "failed" + CANCELED = "canceled" + + +class Job(BaseIDModel): + project_id: UUID + type: JobType = JobType.TRAINING + progress: int = Field(default=0, ge=0, le=100, description="Progress percentage from 0 to 100") + status: JobStatus = JobStatus.PENDING + payload: dict + message: str = "Job created" + start_time: datetime | None = None + end_time: datetime | None = None + + @field_serializer("project_id") + def serialize_project_id(self, project_id: UUID, _info: Any) -> str: + return str(project_id) + + +class JobList(BaseModel): + jobs: list[Job] + + +class JobSubmitted(BaseModel): + job_id: UUID + + +class JobCancelled(BaseModel): + job_id: UUID + + @computed_field + def message(self) -> str: + return f"Job with ID `{self.job_id}` marked as cancelled." + + +class TrainJobPayload(BaseModel): + project_id: UUID = Field(exclude=True) + model_name: str + device: str | None = Field(default=None) diff --git a/application/backend/src/pydantic_models/media.py b/application/backend/src/pydantic_models/media.py new file mode 100644 index 0000000000..13d1f793e3 --- /dev/null +++ b/application/backend/src/pydantic_models/media.py @@ -0,0 +1,39 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from datetime import datetime +from enum import StrEnum +from uuid import UUID + +from pydantic import BaseModel, Field + +from pydantic_models.base import BaseIDModel + + +class Subset(StrEnum): + TRAINING = "training" + TESTING = "testing" + + +class ImageExtension(StrEnum): + JPG = ".jpg" + JPEG = ".jpeg" + PNG = ".png" + BMP = ".bmp" + TIF = ".tif" + TIFF = ".tiff" + JFIF = ".jfif" + WEBP = ".webp" + + +class Media(BaseIDModel): + project_id: UUID + filename: str + size: int = Field(..., ge=0) + is_anomalous: bool + width: int = Field(..., ge=0) + height: int = Field(..., ge=0) + created_at: datetime | None = None + + +class MediaList(BaseModel): + media: list[Media] diff --git a/application/backend/src/pydantic_models/metrics.py b/application/backend/src/pydantic_models/metrics.py new file mode 100644 index 0000000000..00e01e45e8 --- /dev/null +++ b/application/backend/src/pydantic_models/metrics.py @@ -0,0 +1,62 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from datetime import datetime + +from pydantic import BaseModel, Field + + +class LatencyMetrics(BaseModel): + """Latency metrics for inference operations""" + + avg_ms: float | None = Field(..., description="Average latency in milliseconds") + min_ms: float | None = Field(..., description="Minimum latency in milliseconds") + max_ms: float | None = Field(..., description="Maximum latency in milliseconds") + p95_ms: float | None = Field(..., description="95th percentile latency in milliseconds") + latest_ms: float | None = Field(..., description="Latest recorded latency in milliseconds") + + +class ThroughputMetrics(BaseModel): + """Throughput metrics for inference operations""" + + avg_requests_per_second: float | None = Field(..., description="Average requests per second") + total_requests: int | None = Field(..., description="Total number of requests in the time window") + max_requests_per_second: float | None = Field(..., description="Max requests per second") + + +class InferenceMetrics(BaseModel): + """Inference-related metrics""" + + latency: LatencyMetrics + throughput: ThroughputMetrics + + +class TimeWindow(BaseModel): + """Time window for metrics calculation""" + + start: datetime = Field(..., description="Start timestamp of the time window") + end: datetime = Field(..., description="End timestamp of the time window") + time_window: int = Field(..., description="Duration of the time window in seconds") + + +class PipelineMetrics(BaseModel): + """Pipeline metrics response""" + + time_window: TimeWindow + inference: InferenceMetrics + + model_config = { + "json_schema_extra": { + "example": { + "time_window": {"start": "2025-08-25T10:00:00Z", "end": "2025-08-25T10:01:00Z", "time_window": 60}, + "inference": { + "latency": {"avg_ms": 15.1, "min_ms": 12.3, "max_ms": 30.4, "p95_ms": 25.4, "latest_ms": 15.6}, + "throughput": { + "avg_requests_per_second": 66.7, + "total_requests": 4000, + "max_requests_per_second": 85.2, + }, + }, + } + } + } diff --git a/application/backend/src/pydantic_models/model.py b/application/backend/src/pydantic_models/model.py new file mode 100644 index 0000000000..8d705fd489 --- /dev/null +++ b/application/backend/src/pydantic_models/model.py @@ -0,0 +1,87 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import os +from enum import StrEnum +from uuid import UUID + +from anomalib.deploy import ExportType +from pydantic import BaseModel, Field, model_validator + +from pydantic_models.base import BaseIDNameModel + + +class PredictionLabel(StrEnum): + """Enum for prediction labels.""" + + NORMAL = "Normal" + ANOMALOUS = "Anomalous" + + +class Model(BaseIDNameModel): + """ + Base model schema that includes common fields for all models. + This can be extended by other schemas to include additional fields. + """ + + format: ExportType = ExportType.OPENVINO + project_id: UUID + threshold: float = Field(default=0.5, gt=0.0, lt=1.0, description="Confidence threshold for the model") + is_ready: bool = Field(default=False, description="Indicates if the model is ready for use") + export_path: str | None = None + train_job_id: UUID = Field(description="ID of the training job for this model") + size: int | None = Field(default=None, ge=0, description="Total size in bytes of exported model artifacts") + + @property + def weights_path(self) -> str: + if self.export_path is None: + raise ValueError("export_path is required to get weights_path") + return os.path.join(self.export_path, self.format.name.lower()) + + model_config = { + "json_schema_extra": { + "example": { + "id": "76e07d18-196e-4e33-bf98-ac1d35dca4cb", + "project_id": "16e07d18-196e-4e33-bf98-ac1d35dcaaaa", + "name": "PatchCore", + "format": "openvino", + "is_ready": True, + "export_path": ( + "/data/projects/16e07d18-196e-4e33-bf98-ac1d35dcaaaa/models/76e07d18-196e-4e33-bf98-ac1d35dca4cb" + ), + "threshold": 0.5, + "train_job_id": "0db0c16d-0d3c-4e0e-bc5a-ca710579e549", + "size": 12345678, + } + } + } + + +class ModelList(BaseModel): + models: list[Model] + + +class PredictionResponse(BaseModel): + """Response model for model prediction results.""" + + anomaly_map: str = Field(description="Base64-encoded anomaly map image") + label: PredictionLabel = Field(description="Prediction label") + score: float = Field(ge=0.0, le=1.0, description="Confidence score between 0 and 1") + + @model_validator(mode="after") + def validate_score_range(self) -> "PredictionResponse": + """Ensure score is within valid range [0, 1] and handle edge cases.""" + if not (0.0 <= self.score <= 1.0): + raise ValueError(f"Score must be between 0.0 and 1.0, got {self.score}") + return self + + model_config = { + "json_schema_extra": { + "example": { + "anomaly_map": ( + "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNkYPhfDwAChwGA60e6kgAAAABJRU5ErkJggg==" + ), + "label": "Normal", + "score": 0.23, + } + } + } diff --git a/application/backend/src/pydantic_models/pipeline.py b/application/backend/src/pydantic_models/pipeline.py new file mode 100644 index 0000000000..bc4efe3050 --- /dev/null +++ b/application/backend/src/pydantic_models/pipeline.py @@ -0,0 +1,97 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from enum import StrEnum +from functools import cached_property +from uuid import UUID + +from pydantic import BaseModel, ConfigDict, Field, model_validator + +from pydantic_models.model import Model +from pydantic_models.sink import Sink +from pydantic_models.source import Source + + +class PipelineStatus(StrEnum): + IDLE = "idle" + ACTIVE = "active" + RUNNING = "running" + + @classmethod + def from_bool(cls, is_running: bool, is_active: bool) -> "PipelineStatus": + if is_running: + return cls.RUNNING + if is_active: + return cls.ACTIVE + return cls.IDLE + + @property + def is_running(self) -> bool: + return self == PipelineStatus.RUNNING + + @property + def is_active(self) -> bool: + return self in {PipelineStatus.RUNNING, PipelineStatus.ACTIVE} + + +class Pipeline(BaseModel): + project_id: UUID # ID of the project this pipeline belongs to + source: Source | None = None # None if disconnected + sink: Sink | None = None # None if disconnected + model: Model | None = None # None if no model is selected + source_id: UUID | None = Field( + default=None, exclude=True + ) # ID of the source, used for DB mapping, not exposed in API + sink_id: UUID | None = Field(default=None, exclude=True) # ID of the sink, used for DB mapping, not exposed in API + model_id: UUID | None = Field( + default=None, exclude=True + ) # ID of the model, used for DB mapping, not exposed in API + status: PipelineStatus = PipelineStatus.IDLE # Current status of the pipeline + inference_device: str | None = Field(default=None) + + # TODO: can be confused with status.is_running / is_active, consider refactoring + is_running: bool | None = Field(default=None, exclude=True) # If set will overwrite status + is_active: bool | None = Field(default=None, exclude=True) # If set will overwrite status + + model_config = ConfigDict( + validate_assignment=True, + json_schema_extra={ + "example": { + "project_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890", + "source": { + "source_type": "video_file", + "name": "Sample Video", + "id": "712750b2-5a82-47ee-8fba-f3dc96cb615d", + "video_path": "/path/to/video.mp4", + }, + "sink": { + "id": "b5787c06-964b-4097-8eca-238b8cf79fc8", + "sink_type": "folder", + "name": "Local Folder", + "folder_path": "/path/to/output", + "output_formats": ["image_original", "image_with_predictions", "predictions"], + "rate_limit": 0.2, + }, + "model": { + "id": "76e07d18-196e-4e33-bf98-ac1d35dca4cb", + "name": "PatchCore", + "format": "openvino", + }, + "status": "running", + } + }, + ) + + @model_validator(mode="after") + def validate_running_status(self) -> "Pipeline": + if self.is_running: + self.status = PipelineStatus.RUNNING + if self.status == PipelineStatus.RUNNING and any( + x is None for x in (self.source_id or self.source, self.sink_id or self.sink, self.model_id or self.model) + ): + raise ValueError("Pipeline cannot be in 'running' status when source, sink, or model is not configured.") + return self + + @cached_property + def id(self) -> UUID: + return self.project_id diff --git a/application/backend/src/pydantic_models/project.py b/application/backend/src/pydantic_models/project.py new file mode 100644 index 0000000000..2344d504d2 --- /dev/null +++ b/application/backend/src/pydantic_models/project.py @@ -0,0 +1,16 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from datetime import datetime + +from pydantic import BaseModel, Field + +from pydantic_models.base import BaseIDNameModel + + +class Project(BaseIDNameModel): + created_at: datetime | None = Field(default=None, description="Project creation timestamp", exclude=True) + + +class ProjectList(BaseModel): + projects: list[Project] diff --git a/application/backend/src/pydantic_models/sink.py b/application/backend/src/pydantic_models/sink.py new file mode 100644 index 0000000000..66b742e7cc --- /dev/null +++ b/application/backend/src/pydantic_models/sink.py @@ -0,0 +1,186 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from enum import StrEnum +from os import getenv +from typing import Annotated, Literal +from uuid import UUID + +from pydantic import Field, TypeAdapter + +from pydantic_models.base import BaseIDNameModel, NoRequiredIDs + +MQTT_USERNAME = "MQTT_USERNAME" +MQTT_PASSWORD = "MQTT_PASSWORD" # noqa: S105 + + +class SinkType(StrEnum): + DISCONNECTED = "disconnected" + FOLDER = "folder" + MQTT = "mqtt" + ROS = "ros" + WEBHOOK = "webhook" + + +class OutputFormat(StrEnum): + IMAGE_ORIGINAL = "image_original" + IMAGE_WITH_PREDICTIONS = "image_with_predictions" + PREDICTIONS = "predictions" + + +class BaseSinkConfig(BaseIDNameModel): + project_id: UUID + output_formats: list[OutputFormat] + rate_limit: float | None = None # Rate limit in Hz, None means no limit + + +class DisconnectedSinkConfig(BaseSinkConfig): + sink_type: Literal[SinkType.DISCONNECTED] = SinkType.DISCONNECTED + project_id: UUID = UUID("00000000-0000-0000-0000-000000000000") + name: str = "No Sink" + output_formats: list[OutputFormat] = [] + + model_config = { + "json_schema_extra": { + "example": { + "sink_type": "disconnected", + "name": "No Sink", + "id": "00000000-0000-0000-0000-000000000000", + } + } + } + + +class FolderSinkConfig(BaseSinkConfig): + sink_type: Literal[SinkType.FOLDER] + folder_path: str + + model_config = { + "json_schema_extra": { + "example": { + "id": "b5787c06-964b-4097-8eca-238b8cf79fc8", + "sink_type": "folder", + "name": "Local Folder", + "folder_path": "/path/to/output", + "output_formats": ["image_original", "image_with_predictions", "predictions"], + "rate_limit": 0.2, + } + } + } + + +class MqttSinkConfig(BaseSinkConfig): + sink_type: Literal[SinkType.MQTT] + broker_host: str + broker_port: int + topic: str + auth_required: bool = False + + model_config = { + "json_schema_extra": { + "example": { + "id": "c1a70159-9c9e-4f02-821a-02576321056c", + "sink_type": "mqtt", + "name": "Local MQTT Broker", + "broker_host": "localhost", + "broker_port": 1883, + "topic": "predictions", + "output_formats": ["predictions"], + "auth_required": True, + } + } + } + + def get_credentials(self) -> tuple[str | None, str | None]: + """Configure stream URL with authentication if required.""" + if not self.auth_required: + return None, None + + username = getenv(MQTT_USERNAME) + password = getenv(MQTT_PASSWORD) + + if not username or not password: + raise RuntimeError("MQTT credentials not provided.") + + return username, password + + +class RosSinkConfig(BaseSinkConfig): + sink_type: Literal[SinkType.ROS] + topic: str + + model_config = { + "json_schema_extra": { + "example": { + "id": "6f1d96ac-db38-42a9-9a11-142d404f493f", + "sink_type": "ros", + "name": "ROS2 Predictions Topic", + "topic": "/predictions", + "output_formats": ["predictions"], + } + } + } + + +HttpMethod = Literal["POST", "PUT", "PATCH"] +HttpHeaders = dict[str, str] + + +class WebhookSinkConfig(BaseSinkConfig): + sink_type: Literal[SinkType.WEBHOOK] + webhook_url: str + http_method: HttpMethod = "POST" + headers: HttpHeaders | None = None + timeout: int = 10 # seconds + + model_config = { + "json_schema_extra": { + "example": { + "id": "39ba53e5-9a03-44fc-b78a-83245cf14676", + "sink_type": "webhook", + "name": "Webhook Endpoint", + "webhook_url": "https://example.com/webhook", + "http_method": "PUT", + "headers": {"Authorization": "Bearer YOUR_TOKEN"}, + "output_formats": ["predictions"], + } + } + } + + +Sink = Annotated[ + FolderSinkConfig | MqttSinkConfig | RosSinkConfig | WebhookSinkConfig | DisconnectedSinkConfig, + Field(discriminator="sink_type"), +] + +SinkAdapter: TypeAdapter[Sink] = TypeAdapter(Sink) + +# --------------------------------- +# Creation Schemas (POST requests) +# --------------------------------- +# These schemas inherit from HasID first to override the required ID field with an auto-generated one (if absent) via +# MRO (Method Resolution Order). + + +class FolderSinkConfigCreate(NoRequiredIDs, FolderSinkConfig): + pass + + +class MqttSinkConfigCreate(NoRequiredIDs, MqttSinkConfig): + pass + + +class RosSinkConfigCreate(NoRequiredIDs, RosSinkConfig): + pass + + +class WebhookSinkConfigCreate(NoRequiredIDs, WebhookSinkConfig): + pass + + +SinkCreate = Annotated[ + FolderSinkConfigCreate | MqttSinkConfigCreate | RosSinkConfigCreate | WebhookSinkConfigCreate, + Field(discriminator="sink_type"), +] + +SinkCreateAdapter: TypeAdapter[SinkCreate] = TypeAdapter(SinkCreate) diff --git a/application/backend/src/pydantic_models/source.py b/application/backend/src/pydantic_models/source.py new file mode 100644 index 0000000000..cbfae7371e --- /dev/null +++ b/application/backend/src/pydantic_models/source.py @@ -0,0 +1,165 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from enum import StrEnum +from os import getenv +from typing import Annotated, Literal +from urllib.parse import urlparse, urlunparse +from uuid import UUID + +from pydantic import Field, TypeAdapter + +from pydantic_models.base import BaseIDNameModel, NoRequiredIDs + +IP_CAMERA_USERNAME = "IP_CAMERA_USERNAME" +IP_CAMERA_PASSWORD = "IP_CAMERA_PASSWORD" # noqa: S105 + + +class SourceType(StrEnum): + # TODO: remove or refactor "DISCONNECTED" into separate enums if needed + DISCONNECTED = "disconnected" + WEBCAM = "webcam" + IP_CAMERA = "ip_camera" + VIDEO_FILE = "video_file" + IMAGES_FOLDER = "images_folder" + + +class BaseSourceConfig(BaseIDNameModel): + project_id: UUID + source_type: str + + +class DisconnectedSourceConfig(BaseSourceConfig): + source_type: Literal[SourceType.DISCONNECTED] = SourceType.DISCONNECTED + project_id: UUID = UUID("00000000-0000-0000-0000-000000000000") + name: str = "No Source" + + +class WebcamSourceConfig(BaseSourceConfig): + source_type: Literal[SourceType.WEBCAM] + device_id: int + + model_config = { + "json_schema_extra": { + "example": { + "source_type": "webcam", + "name": "Webcam 0", + "id": "f9e0ae4f-d96c-4304-baab-2ab845362d03", + "device_id": 0, + } + } + } + + +class IPCameraSourceConfig(BaseSourceConfig): + source_type: Literal[SourceType.IP_CAMERA] + stream_url: str + auth_required: bool = False + + model_config = { + "json_schema_extra": { + "example": { + "source_type": "ip_camera", + "name": "Street Camera 123", + "id": "3d055c8a-2536-46ea-8f3c-832bd6f8bbdc", + "stream_url": "http://example.com/stream", + "auth_required": True, + } + } + } + + def get_configured_stream_url(self) -> str: + """Configure stream URL with authentication if required.""" + if not self.auth_required: + return self.stream_url + + username = getenv(IP_CAMERA_USERNAME) + password = getenv(IP_CAMERA_PASSWORD) + + if not username or not password: + raise RuntimeError("IP camera credentials not provided.") + + # Modify the stream URL to include authentication + uri = urlparse(self.stream_url) + netloc = f"{username}:{password}@{uri.netloc}" + return urlunparse((uri.scheme, netloc, uri.path, uri.params, uri.query, uri.fragment)) + + +class VideoFileSourceConfig(BaseSourceConfig): + source_type: Literal[SourceType.VIDEO_FILE] + video_path: str + + model_config = { + "json_schema_extra": { + "example": { + "source_type": "video_file", + "name": "Sample Video", + "id": "712750b2-5a82-47ee-8fba-f3dc96cb615d", + "video_path": "/path/to/video.mp4", + } + } + } + + +class ImagesFolderSourceConfig(BaseSourceConfig): + source_type: Literal[SourceType.IMAGES_FOLDER] + images_folder_path: str + ignore_existing_images: bool + + model_config = { + "json_schema_extra": { + "example": { + "source_type": "images_folder", + "name": "Best Photos", + "id": "4a580a0e-b841-4c70-bf88-2d68a28f780d", + "images_folder_path": "/path/to/images", + "ignore_existing_images": True, + } + } + } + + +Source = Annotated[ + WebcamSourceConfig + | IPCameraSourceConfig + | VideoFileSourceConfig + | ImagesFolderSourceConfig + | DisconnectedSourceConfig, + Field(discriminator="source_type"), +] + +SourceAdapter: TypeAdapter[Source] = TypeAdapter(Source) + + +# --------------------------------- +# Creation Schemas (POST requests) +# --------------------------------- +# These schemas inherit from HasID first to override the required ID field with an auto-generated one (if absent) via +# MRO (Method Resolution Order). + + +class WebcamSourceConfigCreate(NoRequiredIDs, WebcamSourceConfig): + pass + + +class IPCameraSourceConfigCreate(NoRequiredIDs, IPCameraSourceConfig): + pass + + +class VideoFileSourceConfigCreate(NoRequiredIDs, VideoFileSourceConfig): + pass + + +class ImagesFolderSourceConfigCreate(NoRequiredIDs, ImagesFolderSourceConfig): + pass + + +SourceCreate = Annotated[ + WebcamSourceConfigCreate + | IPCameraSourceConfigCreate + | VideoFileSourceConfigCreate + | ImagesFolderSourceConfigCreate, + Field(discriminator="source_type"), +] + +SourceCreateAdapter: TypeAdapter[SourceCreate] = TypeAdapter(SourceCreate) diff --git a/application/backend/src/pydantic_models/trainable_model.py b/application/backend/src/pydantic_models/trainable_model.py new file mode 100644 index 0000000000..745cf0cdd8 --- /dev/null +++ b/application/backend/src/pydantic_models/trainable_model.py @@ -0,0 +1,10 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from pydantic import BaseModel + + +class TrainableModelList(BaseModel): + """List wrapper for returning multiple trainable models.""" + + trainable_models: list[str] diff --git a/application/backend/src/pydantic_models/webrtc.py b/application/backend/src/pydantic_models/webrtc.py new file mode 100644 index 0000000000..44f6a807c8 --- /dev/null +++ b/application/backend/src/pydantic_models/webrtc.py @@ -0,0 +1,20 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from pydantic import BaseModel, Field + + +class InputData(BaseModel): + webrtc_id: str + conf_threshold: float = Field(ge=0, le=1) + + +class Offer(BaseModel): + webrtc_id: str + sdp: str + type: str + + +class Answer(BaseModel): + sdp: str + type: str diff --git a/application/backend/src/repositories/__init__.py b/application/backend/src/repositories/__init__.py new file mode 100644 index 0000000000..f577fc29d5 --- /dev/null +++ b/application/backend/src/repositories/__init__.py @@ -0,0 +1,20 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from .job_repo import JobRepository +from .media_repo import MediaRepository +from .model_repo import ModelRepository +from .pipeline_repo import PipelineRepository +from .project_repo import ProjectRepository +from .sink_repo import SinkRepository +from .source_repo import SourceRepository + +__all__ = [ + "JobRepository", + "MediaRepository", + "ModelRepository", + "PipelineRepository", + "ProjectRepository", + "SinkRepository", + "SourceRepository", +] diff --git a/application/backend/src/repositories/base.py b/application/backend/src/repositories/base.py new file mode 100644 index 0000000000..33a459fdc3 --- /dev/null +++ b/application/backend/src/repositories/base.py @@ -0,0 +1,128 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import abc +from collections.abc import Callable +from typing import Any, TypeVar +from uuid import UUID + +from sqlalchemy.ext.asyncio.session import AsyncSession +from sqlalchemy.sql import expression +from sqlalchemy.sql.selectable import Select, and_ + +from db.schema import Base +from pydantic_models.base import BaseIDModel + +ModelType = TypeVar("ModelType", bound=BaseIDModel) +SchemaType = TypeVar("SchemaType", bound=Base) + + +class BaseRepository[ModelType, SchemaType](metaclass=abc.ABCMeta): + """Base repository class for database operations.""" + + def __init__(self, db: AsyncSession, schema: type[SchemaType]): + self.db = db + self.schema = schema + + @property + @abc.abstractmethod + def to_schema(self) -> Callable[[ModelType], SchemaType]: + """to_schema mapper callable""" + + @property + @abc.abstractmethod + def from_schema(self) -> Callable[[SchemaType], ModelType]: + """from_schema mapper callable""" + + @property + def base_filters(self) -> dict: + """Base filter expression for the repository""" + return {} + + def _get_filter_query(self, extra_filters: dict | None = None, expressions: list[Any] | None = None) -> Select: + """Build query with filters and expressions combined with AND.""" + query = expression.select(self.schema) + + # Apply keyword filters (column=value) + if extra_filters is None: + extra_filters = {} + combined_filters = extra_filters | self.base_filters + if combined_filters: + query = query.filter_by(**combined_filters) + + # Apply additional expressions with AND + if expressions: + query = query.where(and_(*expressions)) + + return query + + async def get_by_id(self, obj_id: str | UUID) -> ModelType | None: + return await self.get_one(extra_filters={"id": self._id_to_str(obj_id)}) + + async def get_one( + self, + extra_filters: dict | None = None, + expressions: list[Any] | None = None, + order_by: Any | None = None, + ascending: bool = False, + ) -> ModelType | None: + query = self._get_filter_query(extra_filters=extra_filters, expressions=expressions) + if order_by is not None: + query = query.order_by(order_by.asc() if ascending else order_by.desc()) + result = await self.db.execute(query) + first_result = result.scalars().first() + if first_result: + return self.from_schema(first_result) + return None + + async def get_all(self, extra_filters: dict | None = None, expressions: list[Any] | None = None) -> list[ModelType]: + query = self._get_filter_query(extra_filters=extra_filters, expressions=expressions) + results = await self.db.execute(query) + scalars = results.scalars().all() + return [self.from_schema(result) for result in scalars] + + async def save(self, item: ModelType) -> ModelType: + schema_item: SchemaType = self.to_schema(item) + self.db.add(schema_item) + await self.db.commit() + return item + + async def update(self, item: ModelType, partial_update: dict) -> ModelType: + # note: model_copy does not validate the model, so we need to validate explicitly + to_update = item.model_copy(update=partial_update, deep=True) # type: ignore[attr-defined] + item.__class__.model_validate(to_update.model_dump()) # type: ignore[attr-defined] + schema_item: SchemaType = self.to_schema(to_update) + await self.db.merge(schema_item) + await self.db.commit() + updated = await self.get_by_id(item.id) # type: ignore[attr-defined] + if updated is None: + raise ValueError(f"{item.__class__} with ID `{item.id}` doesn't exist") # type: ignore[attr-defined] + return updated + + async def delete_by_id(self, obj_id: str | UUID) -> None: + if not hasattr(self.schema, "id"): + raise AttributeError(f"Delete by ID is not supported by schema: `{self.schema}`") + + obj_id = self._id_to_str(obj_id) + where_expression = [ + self.schema.id == obj_id, # type: ignore[attr-defined] + *[self.schema.__table__.c[k] == v for k, v in self.base_filters.items()], # type: ignore[attr-defined] + ] + query = expression.delete(self.schema).where(*where_expression) + await self.db.execute(query) + await self.db.commit() + + @staticmethod + def _id_to_str(obj_id: str | UUID) -> str: + if isinstance(obj_id, UUID): + return str(obj_id) + return obj_id + + +class ProjectBaseRepository(BaseRepository[ModelType, SchemaType], metaclass=abc.ABCMeta): + def __init__(self, db: AsyncSession, project_id: str | UUID, schema: type[SchemaType]): + super().__init__(db, schema) + self.project_id = self._id_to_str(project_id) + + @property + def base_filters(self) -> dict: + return {"project_id": self.project_id} diff --git a/application/backend/src/repositories/binary_repo.py b/application/backend/src/repositories/binary_repo.py new file mode 100644 index 0000000000..8dca70573a --- /dev/null +++ b/application/backend/src/repositories/binary_repo.py @@ -0,0 +1,146 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import abc +import asyncio +import os +import shutil +from enum import StrEnum +from functools import cached_property +from uuid import UUID + +from anomalib.deploy import ExportType + +STORAGE_ROOT_PATH = "data" + + +class FileType(StrEnum): + IMAGES = "images" + MODELS = "models" + + +class BinaryRepository(metaclass=abc.ABCMeta): + def __init__(self, project_id: str | UUID, file_type: FileType): + self.project_id = str(project_id) + self.file_type = file_type + + async def read_file(self, filename: str) -> bytes: + """ + Read a binary file from the filesystem. + + :param filename: Relative path to the file. + :return: Binary content of the file. + """ + + def stdlib_read(): + full_path = self.get_full_path(filename) + if not os.path.isfile(full_path): + raise FileNotFoundError(f"File not found: {full_path}") + with open(full_path, "rb") as fp: + return fp.read() + + return await asyncio.to_thread(stdlib_read) + + @cached_property + def project_folder_path(self) -> str: + """ + Get the project folder path containing the binary files. + """ + return os.path.join(STORAGE_ROOT_PATH, self.file_type, "projects", self.project_id) + + @abc.abstractmethod + def get_full_path(self, filename: str) -> str: + """ + Get the full path for a given filename within the project folder. + + :param filename: Name of the file. + :return: Full path to the file. + """ + + async def save_file(self, filename: str, content: bytes) -> str: + """ + Save a binary file to the filesystem under the project directory. + + :param filename: Name of the file to save. + :param content: Binary content of the file. + :return: The path where the file was saved. + """ + + def stdlib_write(): + full_path = self.get_full_path(filename) + folder, _ = full_path.split(filename) + os.makedirs(folder, exist_ok=True) + with open(full_path, "wb") as f: + f.write(content) + return full_path + + try: + destination_path = await asyncio.to_thread(stdlib_write) + except Exception as e: + raise OSError(f"Failed to save {self.file_type} file: {filename}") from e + return destination_path + + async def delete_file(self, filename: str) -> None: + """ + Delete a binary file from the filesystem. + + :param filename: Name of the file to delete. + """ + + def stdlib_delete(): + full_path = self.get_full_path(filename) + if os.path.isfile(full_path): + os.remove(full_path) + else: + raise FileNotFoundError(f"File not found: {full_path}") + + await asyncio.to_thread(stdlib_delete) + + +class ImageBinaryRepository(BinaryRepository): + def __init__(self, project_id: str | UUID): + super().__init__(project_id=project_id, file_type=FileType.IMAGES) + + def get_full_path(self, filename: str) -> str: + return os.path.join(self.project_folder_path, filename) + + +class ModelBinaryRepository(BinaryRepository): + def __init__(self, project_id: str | UUID, model_id: str | UUID): + super().__init__(project_id=project_id, file_type=FileType.MODELS) + self._model_id = str(model_id) + + def get_full_path(self, filename: str) -> str: + return os.path.join(self.model_folder_path, filename) + + @cached_property + def model_folder_path(self) -> str: + """ + Get the folder path for models. + + :return: Folder path for models. + """ + return os.path.join(self.project_folder_path, self._model_id) + + async def delete_model_folder(self) -> None: + """ + Delete a model folder from the filesystem. + """ + + def stdlib_delete_folder(): + folder_path = self.model_folder_path + if os.path.exists(folder_path): + shutil.rmtree(folder_path) + else: + raise FileNotFoundError(f"Model folder not found: {folder_path}") + + await asyncio.to_thread(stdlib_delete_folder) + + def get_weights_file_path(self, format: ExportType, name: str) -> str: + """ + Read a weights file from the model folder. + + :param format: Format of the model (e.g., ExportType.OPENVINO). + :param name: Name of the weights to read. + :return: path of the weights file. + """ + return os.path.join(self.model_folder_path, "weights", format, name) diff --git a/application/backend/src/repositories/job_repo.py b/application/backend/src/repositories/job_repo.py new file mode 100644 index 0000000000..724559ac5c --- /dev/null +++ b/application/backend/src/repositories/job_repo.py @@ -0,0 +1,48 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from collections.abc import Callable +from uuid import UUID + +from sqlalchemy.ext.asyncio.session import AsyncSession + +from db.schema import JobDB +from pydantic_models import Job +from pydantic_models.job import JobStatus, JobType, TrainJobPayload +from repositories.base import BaseRepository +from repositories.mappers import JobMapper + + +class JobRepository(BaseRepository): + def __init__(self, db: AsyncSession): + super().__init__(db, schema=JobDB) + + @property + def to_schema(self) -> Callable[[Job], JobDB]: + return JobMapper.to_schema + + @property + def from_schema(self) -> Callable[[JobDB], Job]: + return JobMapper.from_schema + + async def is_job_duplicate(self, project_id: UUID, payload: TrainJobPayload) -> bool: + # Convert payload to dict for comparison + payload_dict = payload.model_dump() + + # Check for jobs with same payload that are not completed + existing_job = await self.get_one( + extra_filters={"project_id": self._id_to_str(project_id), "payload": payload_dict}, + expressions=[ + JobDB.status != JobStatus.COMPLETED, + JobDB.status != JobStatus.FAILED, + JobDB.status != JobStatus.CANCELED, + ], + ) + + return existing_job is not None + + async def get_pending_job_by_type(self, job_type: JobType) -> Job | None: + return await self.get_one( + extra_filters={"type": job_type, "status": JobStatus.PENDING}, + order_by=self.schema.created_at, + ascending=True, + ) diff --git a/application/backend/src/repositories/mappers/__init__.py b/application/backend/src/repositories/mappers/__init__.py new file mode 100644 index 0000000000..6eb0c4ba10 --- /dev/null +++ b/application/backend/src/repositories/mappers/__init__.py @@ -0,0 +1,18 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from .job_mapper import JobMapper +from .media_mapper import MediaMapper +from .model_mapper import ModelMapper +from .project_mapper import ProjectMapper +from .sink_mapper import SinkMapper +from .source_mapper import SourceMapper + +__all__ = [ + "JobMapper", + "MediaMapper", + "ModelMapper", + "ProjectMapper", + "SinkMapper", + "SourceMapper", +] diff --git a/application/backend/src/repositories/mappers/base_mapper_interface.py b/application/backend/src/repositories/mappers/base_mapper_interface.py new file mode 100644 index 0000000000..0054b00fd5 --- /dev/null +++ b/application/backend/src/repositories/mappers/base_mapper_interface.py @@ -0,0 +1,25 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from abc import ABCMeta, abstractmethod +from typing import TypeVar + +from pydantic import BaseModel + +from db.schema import Base + +DBEntity = TypeVar("DBEntity", bound=Base) +ModelEntity = TypeVar("ModelEntity", bound=BaseModel) + + +class IBaseMapper[DBEntity, ModelEntity](metaclass=ABCMeta): + """Mapper for pydantic model entity <-> DB schema conversions.""" + + @staticmethod + @abstractmethod + def to_schema(db_schema: ModelEntity) -> DBEntity: + """Convert ModelEntity to DBEntity.""" + + @staticmethod + @abstractmethod + def from_schema(model: DBEntity) -> ModelEntity: + """Convert DBEntity to ModelEntity.""" diff --git a/application/backend/src/repositories/mappers/job_mapper.py b/application/backend/src/repositories/mappers/job_mapper.py new file mode 100644 index 0000000000..cfabd9b60d --- /dev/null +++ b/application/backend/src/repositories/mappers/job_mapper.py @@ -0,0 +1,16 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from db.schema import JobDB +from pydantic_models import Job +from repositories.mappers.base_mapper_interface import IBaseMapper + + +class JobMapper(IBaseMapper): + @staticmethod + def to_schema(job: Job) -> JobDB: + return JobDB(**job.model_dump()) + + @staticmethod + def from_schema(job_db: JobDB) -> Job: + return Job.model_validate(job_db, from_attributes=True) diff --git a/application/backend/src/repositories/mappers/media_mapper.py b/application/backend/src/repositories/mappers/media_mapper.py new file mode 100644 index 0000000000..fc690fbcc7 --- /dev/null +++ b/application/backend/src/repositories/mappers/media_mapper.py @@ -0,0 +1,16 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from db.schema import MediaDB +from pydantic_models import Media +from repositories.mappers.base_mapper_interface import IBaseMapper + + +class MediaMapper(IBaseMapper): + @staticmethod + def to_schema(media: Media) -> MediaDB: + return MediaDB(**media.model_dump(mode="json")) + + @staticmethod + def from_schema(media_db: MediaDB) -> Media: + return Media.model_validate(media_db, from_attributes=True) diff --git a/application/backend/src/repositories/mappers/model_mapper.py b/application/backend/src/repositories/mappers/model_mapper.py new file mode 100644 index 0000000000..b10b6b5ab1 --- /dev/null +++ b/application/backend/src/repositories/mappers/model_mapper.py @@ -0,0 +1,16 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from db.schema import ModelDB +from pydantic_models import Model +from repositories.mappers.base_mapper_interface import IBaseMapper + + +class ModelMapper(IBaseMapper): + @staticmethod + def to_schema(model: Model) -> ModelDB: + return ModelDB(**model.model_dump(mode="json")) + + @staticmethod + def from_schema(model_db: ModelDB) -> Model: + return Model.model_validate(model_db, from_attributes=True) diff --git a/application/backend/src/repositories/mappers/pipeline_mapper.py b/application/backend/src/repositories/mappers/pipeline_mapper.py new file mode 100644 index 0000000000..c47092427e --- /dev/null +++ b/application/backend/src/repositories/mappers/pipeline_mapper.py @@ -0,0 +1,41 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from uuid import UUID + +from db.schema import PipelineDB +from pydantic_models import Pipeline, PipelineStatus +from repositories.mappers import ModelMapper, SinkMapper, SourceMapper +from repositories.mappers.base_mapper_interface import IBaseMapper + + +class PipelineMapper(IBaseMapper): + """Mapper for Pipeline schema entity <-> DB entity conversions.""" + + @staticmethod + def from_schema(pipeline_db: PipelineDB) -> Pipeline: + """Convert Pipeline db schema to Pipeline pydantic model.""" + return Pipeline( + project_id=UUID(pipeline_db.project_id), + source=SourceMapper.from_schema(pipeline_db.source) if pipeline_db.source else None, + sink=SinkMapper.from_schema(pipeline_db.sink) if pipeline_db.sink else None, + model=ModelMapper.from_schema(pipeline_db.model) if pipeline_db.model else None, + sink_id=UUID(pipeline_db.sink_id) if pipeline_db.sink_id else None, + model_id=UUID(pipeline_db.model_id) if pipeline_db.model_id else None, + source_id=UUID(pipeline_db.source_id) if pipeline_db.source_id else None, + status=PipelineStatus.from_bool(pipeline_db.is_running, pipeline_db.is_active), + inference_device=pipeline_db.inference_device.upper() if pipeline_db.inference_device else None, + ) + + @staticmethod + def to_schema(pipeline: Pipeline) -> PipelineDB: + """Convert Pipeline pydantic model to db schema.""" + return PipelineDB( + project_id=str(pipeline.project_id), + source_id=str(pipeline.source_id) if pipeline.source_id else None, + model_id=str(pipeline.model_id) if pipeline.model_id else None, + sink_id=str(pipeline.sink_id) if pipeline.sink_id else None, + is_running=pipeline.status.is_running, + is_active=pipeline.status.is_active, + inference_device=pipeline.inference_device.upper() if pipeline.inference_device else None, + ) diff --git a/application/backend/src/repositories/mappers/project_mapper.py b/application/backend/src/repositories/mappers/project_mapper.py new file mode 100644 index 0000000000..1be9a113b9 --- /dev/null +++ b/application/backend/src/repositories/mappers/project_mapper.py @@ -0,0 +1,16 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from db.schema import ProjectDB +from pydantic_models import Project +from repositories.mappers.base_mapper_interface import IBaseMapper + + +class ProjectMapper(IBaseMapper): + @staticmethod + def to_schema(project: Project) -> ProjectDB: + return ProjectDB(**project.model_dump(mode="json")) + + @staticmethod + def from_schema(model_db: ProjectDB) -> Project: + return Project.model_validate(model_db, from_attributes=True) diff --git a/application/backend/src/repositories/mappers/sink_mapper.py b/application/backend/src/repositories/mappers/sink_mapper.py new file mode 100644 index 0000000000..530885f8e8 --- /dev/null +++ b/application/backend/src/repositories/mappers/sink_mapper.py @@ -0,0 +1,56 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from db.schema import SinkDB +from pydantic_models.sink import Sink, SinkAdapter, SinkType +from repositories.mappers.base_mapper_interface import IBaseMapper + + +class SinkMapper(IBaseMapper): + """Mapper for Sink model <-> Sink schema conversions.""" + + # Define fields to exclude from config_data (common fields) + _COMMON_FIELDS: set[str] = { + "id", + "project_id", + "name", + "sink_type", + "output_formats", + "rate_limit", + "created_at", + "updated_at", + } + + @staticmethod + def from_schema(sink_db: SinkDB) -> Sink: + """Convert Sink DB schema to Sink pydantic model.""" + + config_data = sink_db.config_data or {} + return SinkAdapter.validate_python({ + "id": sink_db.id, + "project_id": sink_db.project_id, + "name": sink_db.name, + "sink_type": SinkType(sink_db.sink_type), + "output_formats": sink_db.output_formats, + "rate_limit": sink_db.rate_limit, + **config_data, + }) + + @staticmethod + def to_schema(sink: Sink) -> SinkDB: + """Convert Sink pydantic model to Sink DB schema.""" + + if sink is None: + raise ValueError("Sink config cannot be None") + + sink_dict = SinkAdapter.dump_python(sink, exclude=SinkMapper._COMMON_FIELDS, exclude_none=True) + + return SinkDB( + id=str(sink.id), + project_id=str(sink.project_id), + name=sink.name, + sink_type=sink.sink_type, + output_formats=sink.output_formats, + rate_limit=sink.rate_limit, + config_data=sink_dict, + ) diff --git a/application/backend/src/repositories/mappers/source_mapper.py b/application/backend/src/repositories/mappers/source_mapper.py new file mode 100644 index 0000000000..13eb9fb050 --- /dev/null +++ b/application/backend/src/repositories/mappers/source_mapper.py @@ -0,0 +1,42 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from db.schema import SourceDB +from pydantic_models.source import Source, SourceAdapter, SourceType +from repositories.mappers.base_mapper_interface import IBaseMapper + + +class SourceMapper(IBaseMapper): + """Mapper for Source model <-> Source schema conversions.""" + + # Define fields to exclude from config_data (common fields) + _COMMON_FIELDS: set[str] = {"id", "project_id", "name", "source_type", "created_at", "updated_at"} + + @staticmethod + def from_schema(source_db: SourceDB) -> Source: + """Convert Source schema to Source model.""" + + config_data = source_db.config_data or {} + return SourceAdapter.validate_python({ + "id": source_db.id, + "project_id": source_db.project_id, + "name": source_db.name, + "source_type": SourceType(source_db.source_type), + **config_data, + }) + + @staticmethod + def to_schema(source: Source) -> SourceDB: + """Convert Source model to Source schema.""" + if source is None: + raise ValueError("Source config cannot be None") + + source_dict = SourceAdapter.dump_python(source, exclude=SourceMapper._COMMON_FIELDS, exclude_none=True) + + return SourceDB( + id=str(source.id), + project_id=str(source.project_id), + name=source.name, + source_type=source.source_type.value, + config_data=source_dict, + ) diff --git a/application/backend/src/repositories/media_repo.py b/application/backend/src/repositories/media_repo.py new file mode 100644 index 0000000000..0508dd75a0 --- /dev/null +++ b/application/backend/src/repositories/media_repo.py @@ -0,0 +1,24 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from collections.abc import Callable +from uuid import UUID + +from sqlalchemy.ext.asyncio.session import AsyncSession + +from db.schema import MediaDB +from pydantic_models import Media +from repositories.base import ProjectBaseRepository +from repositories.mappers import MediaMapper + + +class MediaRepository(ProjectBaseRepository): + def __init__(self, db: AsyncSession, project_id: str | UUID): + super().__init__(db, schema=MediaDB, project_id=str(project_id)) + + @property + def to_schema(self) -> Callable[[Media], MediaDB]: + return MediaMapper.to_schema + + @property + def from_schema(self) -> Callable[[MediaDB], Media]: + return MediaMapper.from_schema diff --git a/application/backend/src/repositories/model_repo.py b/application/backend/src/repositories/model_repo.py new file mode 100644 index 0000000000..b463e28cde --- /dev/null +++ b/application/backend/src/repositories/model_repo.py @@ -0,0 +1,24 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from collections.abc import Callable +from uuid import UUID + +from sqlalchemy.ext.asyncio.session import AsyncSession + +from db.schema import ModelDB +from pydantic_models import Model +from repositories.base import ProjectBaseRepository +from repositories.mappers import ModelMapper + + +class ModelRepository(ProjectBaseRepository): + def __init__(self, db: AsyncSession, project_id: str | UUID): + super().__init__(db, schema=ModelDB, project_id=str(project_id)) + + @property + def to_schema(self) -> Callable[[Model], ModelDB]: + return ModelMapper.to_schema + + @property + def from_schema(self) -> Callable[[ModelDB], Model]: + return ModelMapper.from_schema diff --git a/application/backend/src/repositories/pipeline_repo.py b/application/backend/src/repositories/pipeline_repo.py new file mode 100644 index 0000000000..6e567e519a --- /dev/null +++ b/application/backend/src/repositories/pipeline_repo.py @@ -0,0 +1,33 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from collections.abc import Callable +from uuid import UUID + +from sqlalchemy.ext.asyncio.session import AsyncSession + +from db.schema import PipelineDB +from pydantic_models import Pipeline +from repositories.base import BaseRepository +from repositories.mappers.pipeline_mapper import PipelineMapper + + +class PipelineRepository(BaseRepository): + """Repository for pipeline-related database operations.""" + + def __init__(self, db: AsyncSession): + super().__init__(db, schema=PipelineDB) + + @property + def to_schema(self) -> Callable[[Pipeline], PipelineDB]: + return PipelineMapper.to_schema + + @property + def from_schema(self) -> Callable[[PipelineDB], Pipeline]: + return PipelineMapper.from_schema + + async def get_by_id(self, project_id: str | UUID) -> Pipeline | None: + return await self.get_one(extra_filters={"project_id": self._id_to_str(project_id)}) + + async def get_active_pipeline(self) -> Pipeline | None: + """Get the active pipeline from database.""" + return await self.get_one(expressions=[PipelineDB.is_active]) diff --git a/application/backend/src/repositories/project_repo.py b/application/backend/src/repositories/project_repo.py new file mode 100644 index 0000000000..5a738fb6c0 --- /dev/null +++ b/application/backend/src/repositories/project_repo.py @@ -0,0 +1,35 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from collections.abc import Callable + +from sqlalchemy.ext.asyncio.session import AsyncSession + +from db.schema import PipelineDB, ProjectDB +from pydantic_models import Project +from repositories.base import BaseRepository +from repositories.mappers import ProjectMapper + + +class ProjectRepository(BaseRepository): + def __init__(self, db: AsyncSession): + super().__init__(db, ProjectDB) + + @property + def to_schema(self) -> Callable[[Project], ProjectDB]: + return ProjectMapper.to_schema + + @property + def from_schema(self) -> Callable[[ProjectDB], Project]: + return ProjectMapper.from_schema + + async def get_by_name(self, name: str) -> list[Project]: + return await self.get_all(extra_filters={"name": name}) + + async def save(self, project: Project) -> Project: + project_schema: ProjectDB = self.to_schema(project) + project_schema.pipeline = PipelineDB( + project_id=project_schema.id, + ) + self.db.add(project_schema) + await self.db.commit() + return project diff --git a/application/backend/src/repositories/sink_repo.py b/application/backend/src/repositories/sink_repo.py new file mode 100644 index 0000000000..bc67a162a8 --- /dev/null +++ b/application/backend/src/repositories/sink_repo.py @@ -0,0 +1,26 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from collections.abc import Callable +from uuid import UUID + +from sqlalchemy.ext.asyncio.session import AsyncSession + +from db.schema import SinkDB +from pydantic_models import Sink +from repositories.base import ProjectBaseRepository +from repositories.mappers import SinkMapper + + +class SinkRepository(ProjectBaseRepository): + """Repository for sink-related database operations.""" + + def __init__(self, db: AsyncSession, project_id: UUID): + super().__init__(db, schema=SinkDB, project_id=project_id) + + @property + def to_schema(self) -> Callable[[Sink], SinkDB]: + return SinkMapper.to_schema + + @property + def from_schema(self) -> Callable[[SinkDB], Sink]: + return SinkMapper.from_schema diff --git a/application/backend/src/repositories/source_repo.py b/application/backend/src/repositories/source_repo.py new file mode 100644 index 0000000000..fd574deb7c --- /dev/null +++ b/application/backend/src/repositories/source_repo.py @@ -0,0 +1,26 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from collections.abc import Callable +from uuid import UUID + +from sqlalchemy.ext.asyncio.session import AsyncSession + +from db.schema import SourceDB +from pydantic_models import Source +from repositories.base import ProjectBaseRepository +from repositories.mappers import SourceMapper + + +class SourceRepository(ProjectBaseRepository): + """Repository for source-related database operations.""" + + def __init__(self, db: AsyncSession, project_id: UUID): + super().__init__(db, schema=SourceDB, project_id=project_id) + + @property + def to_schema(self) -> Callable[[Source], SourceDB]: + return SourceMapper.to_schema + + @property + def from_schema(self) -> Callable[[SourceDB], Source]: + return SourceMapper.from_schema diff --git a/application/backend/src/services/__init__.py b/application/backend/src/services/__init__.py new file mode 100644 index 0000000000..057b9d1944 --- /dev/null +++ b/application/backend/src/services/__init__.py @@ -0,0 +1,36 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from .active_pipeline_service import ActivePipelineService +from .configuration_service import ConfigurationService +from .dispatch_service import DispatchService +from .exceptions import ( + ActivePipelineConflictError, + ResourceAlreadyExistsError, + ResourceInUseError, + ResourceNotFoundError, +) +from .job_service import JobService +from .media_service import MediaService +from .model_service import ModelService +from .pipeline_service import PipelineService +from .project_service import ProjectService +from .training_service import TrainingService +from .video_stream_service import VideoStreamService + +__all__ = [ + "ActivePipelineConflictError", + "ActivePipelineService", + "ConfigurationService", + "DispatchService", + "JobService", + "MediaService", + "ModelService", + "PipelineService", + "ProjectService", + "ResourceAlreadyExistsError", + "ResourceInUseError", + "ResourceNotFoundError", + "TrainingService", + "VideoStreamService", +] diff --git a/application/backend/src/services/active_pipeline_service.py b/application/backend/src/services/active_pipeline_service.py new file mode 100644 index 0000000000..46e2336e55 --- /dev/null +++ b/application/backend/src/services/active_pipeline_service.py @@ -0,0 +1,171 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +import multiprocessing as mp +from multiprocessing.synchronize import Condition as ConditionClass +from threading import Thread + +from loguru import logger + +from db import get_async_db_session_ctx +from pydantic_models import DisconnectedSinkConfig, DisconnectedSourceConfig, Pipeline, Sink, Source +from repositories import PipelineRepository + + +class ActivePipelineService: + """ + A service used in workers for loading pipeline-based application configuration from SQLite database. + + This service handles loading and monitoring configuration changes based on the active pipeline. + The configuration is built from Source -> Pipeline -> Sinks relationships. + + The service must be created using the `create()` class method for proper async initialization. + In child processes, it automatically starts a daemon thread to monitor configuration changes. + + Example: + # Create service in main process + service = await ActivePipelineService.create() + + # Create service in child process with condition monitoring + service = await ActivePipelineService.create(config_changed_condition) + """ + + @classmethod + async def create( + cls, config_changed_condition: ConditionClass | None = None, start_daemon: bool = False + ) -> "ActivePipelineService": + """ + Factory method to create and initialize the service asynchronously. + + Args: + config_changed_condition: Multiprocessing Condition object for getting configuration + updates in child processes. Required for child processes. + start_daemon: whether or not to start daemon thread to monitor configuration changes. + + Returns: + ActivePipelineService: Fully initialized service instance. + + Raises: + ValueError: When config_changed_condition is None in a child process. + """ + instance = cls() + await instance._initialize(config_changed_condition, start_daemon) + return instance + + async def _initialize( + self, config_changed_condition: ConditionClass | None = None, start_daemon: bool = False + ) -> None: + """ + Initialize the service asynchronously. + + Args: + config_changed_condition: Multiprocessing Condition object for getting configuration + updates in child processes. Required for child processes. + start_daemon: whether or not to start daemon thread to monitor configuration changes. + + Raises: + ValueError: When config_changed_condition is None in a child process. + """ + self.config_changed_condition = config_changed_condition + self._source: Source = DisconnectedSourceConfig() + self._sink: Sink = DisconnectedSinkConfig() + self._pipeline: Pipeline | None = None + await self._load_app_config() + + # For child processes with config_changed_condition, start a daemon to monitor configuration changes + if start_daemon is not None and self.config_changed_condition is not None: + # Store the current event loop for the daemon thread to use + self._event_loop = asyncio.get_running_loop() + + self._config_reload_daemon = Thread( + target=self._reload_config_daemon_routine, name="Config reloader", daemon=True + ) + self._config_reload_daemon.start() + elif start_daemon is not None and self.config_changed_condition is None: + # This is a child process but no condition provided - this is likely an API process + # that doesn't need the daemon thread, so we just log and continue + logger.debug("Child process detected but no config_changed_condition provided - skipping daemon thread") + + async def reload(self) -> None: + """ + Reload the application configuration from the database. + + This method must be called from an async context and will await + the configuration reload operation. + """ + await self._load_app_config() + + async def _load_app_config(self) -> None: + """ + Load application configuration from the database. + + This method loads the active pipeline configuration and updates the + internal source and sink configurations accordingly. + """ + logger.info("Loading configuration from database") + async with get_async_db_session_ctx() as db: + repo = PipelineRepository(db) + + # Loads the first active pipeline + self._pipeline = await repo.get_active_pipeline() + if self._pipeline is None: + self._source = DisconnectedSourceConfig() + self._sink = DisconnectedSinkConfig() + return + + logger.info(f"Configuration loaded from database: {self._pipeline}") + + source = self._pipeline.source + if source is not None: + self._source = source + + sink = self._pipeline.sink + if sink is not None: + self._sink = sink + + def _reload_config_daemon_routine(self) -> None: + """ + Daemon thread routine to monitor configuration changes and reload when necessary. + + This method runs in a separate thread and waits for configuration change + notifications. When changes are detected, it schedules the async reload + operation in the main event loop. + + Raises: + RuntimeError: When config_changed_condition is None. + """ + if self.config_changed_condition is None: + raise RuntimeError("daemon thread initialized without config_changed_condition") + while True: + with self.config_changed_condition: + notified = self.config_changed_condition.wait(timeout=3) + if not notified: # awakened before of timeout + continue + logger.debug(f"Configuration changes detected. Process: {mp.current_process().name}") + # Schedule the async reload in the event loop using the stored loop reference + asyncio.run(self.reload()) + + @property + def source_config(self) -> Source: + """ + Get the current source configuration. + + Returns: + Source: The current source configuration. + """ + return self._source + + @property + def sink_config(self) -> Sink: + """ + Get the current sink configuration. + + Returns: + Sink: The current sink configuration. + """ + return self._sink + + @property + def is_running(self) -> bool: + """Check if the active pipeline is marked as running""" + return self._pipeline is not None and self._pipeline.status.is_running diff --git a/application/backend/src/services/configuration_service.py b/application/backend/src/services/configuration_service.py new file mode 100644 index 0000000000..bb41e1ff9f --- /dev/null +++ b/application/backend/src/services/configuration_service.py @@ -0,0 +1,128 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import asyncio +from collections.abc import Callable +from enum import StrEnum +from multiprocessing.synchronize import Condition +from uuid import UUID + +from loguru import logger +from sqlalchemy.ext.asyncio import AsyncSession + +from db import get_async_db_session_ctx +from pydantic_models import Sink, Source +from repositories import PipelineRepository, SinkRepository, SourceRepository +from services import ActivePipelineService +from services.exceptions import ResourceNotFoundError, ResourceType + + +class PipelineField(StrEnum): + """Enumeration for pipeline fields that can trigger configuration reloads.""" + + SOURCE_ID = "source_id" + SINK_ID = "sink_id" + + +class ConfigurationService: + def __init__(self, active_pipeline_service: ActivePipelineService, config_changed_condition: Condition) -> None: + self._active_pipeline_service: ActivePipelineService = active_pipeline_service + self._config_changed_condition: Condition = config_changed_condition + + def _notify_sink_changed(self) -> None: + """Notify that sink configuration has changed by reloading the active pipeline service.""" + try: + # Try to get the current event loop + loop = asyncio.get_running_loop() + task = loop.create_task(self._active_pipeline_service.reload()) + task.add_done_callback(lambda _: logger.debug("Sink changed notified")) + except RuntimeError: + # If no event loop is running, create a new one + asyncio.run(self._active_pipeline_service.reload()) + + def _notify_source_changed(self) -> None: + with self._config_changed_condition: + self._config_changed_condition.notify_all() + + @staticmethod + async def _on_config_changed( + config_id: UUID, field: PipelineField, db: AsyncSession, notify_fn: Callable[[], None] + ) -> None: + """Notify threads or child processes that the configuration has changed. + Notification triggered only when the configuration is used by the active pipeline.""" + pipeline_repo = PipelineRepository(db) + active_pipeline = await pipeline_repo.get_active_pipeline() + if active_pipeline and str(getattr(active_pipeline, field)) == str(config_id): + notify_fn() + + async def list_sources(self, project_id: UUID) -> list[Source]: + async with get_async_db_session_ctx() as db: + source_repo = SourceRepository(db, project_id=project_id) + return await source_repo.get_all() + + async def list_sinks(self, project_id: UUID) -> list[Sink]: + async with get_async_db_session_ctx() as db: + sink_repo = SinkRepository(db, project_id=project_id) + return await sink_repo.get_all() + + async def get_source_by_id(self, source_id: UUID, project_id: UUID, db: AsyncSession | None = None) -> Source: + if db is None: + async with get_async_db_session_ctx() as db_session: + source_repo = SourceRepository(db_session, project_id=project_id) + source = await source_repo.get_by_id(source_id) + else: + source_repo = SourceRepository(db, project_id=project_id) + source = await source_repo.get_by_id(source_id) + if not source: + raise ResourceNotFoundError(ResourceType.SOURCE, str(source_id)) + return source + + async def get_sink_by_id(self, sink_id: UUID, project_id: UUID, db: AsyncSession | None = None) -> Sink: + if db is None: + async with get_async_db_session_ctx() as db_session: + sink_repo = SinkRepository(db_session, project_id=project_id) + sink = await sink_repo.get_by_id(sink_id) + else: + sink_repo = SinkRepository(db, project_id=project_id) + sink = await sink_repo.get_by_id(sink_id) + if not sink: + raise ResourceNotFoundError(ResourceType.SINK, str(sink_id)) + return sink + + async def create_source(self, source: Source) -> Source: + async with get_async_db_session_ctx() as db: + source_repo = SourceRepository(db, project_id=source.project_id) + return await source_repo.save(source) + + async def create_sink(self, sink: Sink) -> Sink: + async with get_async_db_session_ctx() as db: + sink_repo = SinkRepository(db, project_id=sink.project_id) + return await sink_repo.save(sink) + + async def update_source(self, source_id: UUID, project_id: UUID, partial_config: dict) -> Source: + async with get_async_db_session_ctx() as db: + source = await self.get_source_by_id(source_id, project_id, db) + source_repo = SourceRepository(db, project_id=project_id) + updated = await source_repo.update(source, partial_config) + await self._on_config_changed(updated.id, PipelineField.SOURCE_ID, db, self._notify_source_changed) + return updated + + async def update_sink(self, sink_id: UUID, project_id: UUID, partial_config: dict) -> Sink: + async with get_async_db_session_ctx() as db: + sink = await self.get_sink_by_id(sink_id, project_id, db) + sink_repo = SinkRepository(db, project_id=project_id) + updated = await sink_repo.update(sink, partial_config) + await self._on_config_changed(updated.id, PipelineField.SINK_ID, db, self._notify_sink_changed) + return updated + + async def delete_source_by_id(self, source_id: UUID, project_id: UUID) -> None: + async with get_async_db_session_ctx() as db: + source = await self.get_source_by_id(source_id, project_id, db) + source_repo = SourceRepository(db, project_id=project_id) + await source_repo.delete_by_id(source.id) + + async def delete_sink_by_id(self, sink_id: UUID, project_id: UUID) -> None: + async with get_async_db_session_ctx() as db: + sink = await self.get_sink_by_id(sink_id, project_id, db) + sink_repo = SinkRepository(db, project_id=project_id) + await sink_repo.delete_by_id(sink.id) diff --git a/application/backend/src/services/dispatch_service.py b/application/backend/src/services/dispatch_service.py new file mode 100644 index 0000000000..1f34c261e4 --- /dev/null +++ b/application/backend/src/services/dispatch_service.py @@ -0,0 +1,40 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from collections.abc import Callable, Sequence + +from pydantic_models import Sink, SinkType +from services.dispatchers import Dispatcher, FolderDispatcher, MqttDispatcher, WebhookDispatcher + + +class DispatchService: + _dispatcher_registry: dict[SinkType, Callable[[Sink], Dispatcher | None]] = { + SinkType.DISCONNECTED: lambda _: None, + SinkType.FOLDER: lambda config: FolderDispatcher(output_config=config), # type: ignore[union-attr, arg-type] + SinkType.MQTT: lambda config: MqttDispatcher(output_config=config), # type: ignore[union-attr, arg-type] + SinkType.ROS: lambda _: _raise_not_implemented("ROS output is not implemented yet"), + SinkType.WEBHOOK: lambda config: WebhookDispatcher(output_config=config), # type: ignore[union-attr, arg-type] + } + + @classmethod + def _get_destination(cls, output_config: Sink) -> Dispatcher | None: + # TODO handle exceptions: if some output cannot be initialized, exclude it and raise a warning + factory = cls._dispatcher_registry.get(output_config.sink_type) + if factory is None: + raise ValueError(f"Unrecognized sink type: {output_config.sink_type}") + + return factory(output_config) + + @classmethod + def get_destinations(cls, output_configs: Sequence[Sink]) -> list[Dispatcher]: + """ + Get a list of dispatchers based on the provided output configurations. + + Args: + output_configs (Sequence[OutputConfig]): A sequence of output configurations. + """ + return [dispatcher for config in output_configs if (dispatcher := cls._get_destination(config)) is not None] + + +def _raise_not_implemented(message: str) -> None: + raise NotImplementedError(message) diff --git a/application/backend/src/services/dispatchers/__init__.py b/application/backend/src/services/dispatchers/__init__.py new file mode 100644 index 0000000000..1f34a564ec --- /dev/null +++ b/application/backend/src/services/dispatchers/__init__.py @@ -0,0 +1,10 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from .filesystem import FolderDispatcher +from .mqtt import MqttDispatcher +from .webhook import WebhookDispatcher + +Dispatcher = FolderDispatcher | MqttDispatcher | WebhookDispatcher + +__all__ = ["Dispatcher", "FolderDispatcher", "MqttDispatcher", "WebhookDispatcher"] diff --git a/application/backend/src/services/dispatchers/base.py b/application/backend/src/services/dispatchers/base.py new file mode 100644 index 0000000000..c1ec4190c5 --- /dev/null +++ b/application/backend/src/services/dispatchers/base.py @@ -0,0 +1,117 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +import base64 +import time +from abc import ABCMeta, abstractmethod +from datetime import datetime +from typing import Any + +import cv2 +import numpy as np +from anomalib.data import NumpyImageBatch as PredictionResult + +from pydantic_models import OutputFormat, Sink + + +def numpy_to_base64(image: np.ndarray, fmt: str = ".jpg") -> str: + """Convert a numpy array image to a base64 string.""" + success, img_buf = cv2.imencode(fmt, image) + if success: + return base64.b64encode(img_buf).decode("utf-8") + raise ValueError(f"Failed to encode image in format {fmt}") + + +class DispatchError(Exception): + """Exception raised when there is an error in dispatching.""" + + def __init__(self): + super().__init__("Failed to dispatch the output") + + +class BaseDispatcher(metaclass=ABCMeta): + """ + Base class for dispatchers. + This class should be inherited by all dispatcher classes. + """ + + def __init__(self, output_config: Sink) -> None: + """ + Initialize the dispatcher. + Args: + output_config: Configuration for the output destination + """ + self.output_formats = output_config.output_formats + self.rate_limit = output_config.rate_limit + self.min_interval = (1.0 / self.rate_limit) if self.rate_limit else 0.0 + self.last_dispatch_time = 0.0 + + @abstractmethod + def _dispatch( + self, + original_image: np.ndarray, + image_with_visualization: np.ndarray, + predictions: PredictionResult, + ) -> None: + """ + Internal method to dispatch an image with predictions. + + This method should be overridden by subclasses to implement specific dispatch logic. + Args: + original_image (np.ndarray): The original image + image_with_visualization (np.ndarray): The image with overlaid predictions + predictions (PredictionResult): Predictions generated by the model + """ + + def _create_payload( + self, original_image: np.ndarray, image_with_visualization: np.ndarray, predictions: PredictionResult + ) -> dict[str, Any]: + """Create a JSON payload with the requested output formats.""" + PredictionResult: dict[str, Any] = {} + payload = {"timestamp": datetime.now().isoformat(), "PredictionResult": PredictionResult} + + if OutputFormat.IMAGE_ORIGINAL in self.output_formats: + PredictionResult[OutputFormat.IMAGE_ORIGINAL] = { + "data": numpy_to_base64(original_image), + "format": "jpeg", + } + + if OutputFormat.IMAGE_WITH_PREDICTIONS in self.output_formats: + PredictionResult[OutputFormat.IMAGE_WITH_PREDICTIONS] = { + "data": numpy_to_base64(image_with_visualization), + "format": "jpeg", + } + + if OutputFormat.PREDICTIONS in self.output_formats: + PredictionResult[OutputFormat.PREDICTIONS] = str(predictions) + + return payload + + async def dispatch( + self, + original_image: np.ndarray, + image_with_visualization: np.ndarray, + predictions: PredictionResult, + ) -> None: + """ + Dispatch an image with predictions. + Args: + original_image (np.ndarray): The original image + image_with_visualization (np.ndarray): The image with overlaid predictions + predictions (PredictionResult): Predictions generated by the model + + Raises: + DispatchError: If there is an error in dispatching the output + """ + # Apply rate limiting + if self.rate_limit is not None: + current_time = time.time() + time_since_last = current_time - self.last_dispatch_time + if time_since_last < self.min_interval: + return + self.last_dispatch_time = time.time() + + try: + await asyncio.to_thread(self._dispatch, original_image, image_with_visualization, predictions) + except Exception as e: + raise DispatchError from e diff --git a/application/backend/src/services/dispatchers/filesystem.py b/application/backend/src/services/dispatchers/filesystem.py new file mode 100644 index 0000000000..d20be68672 --- /dev/null +++ b/application/backend/src/services/dispatchers/filesystem.py @@ -0,0 +1,62 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import os +from datetime import datetime + +import cv2 +import numpy as np +from anomalib.data import NumpyImageBatch as PredictionResult +from loguru import logger + +from pydantic_models.sink import FolderSinkConfig, OutputFormat +from services.dispatchers.base import BaseDispatcher + + +class FolderDispatcher(BaseDispatcher): + """FolderDispatcher allows outputting to a folder in the local filesystem.""" + + def __init__(self, output_config: FolderSinkConfig) -> None: + """ + Initialize the FolderDispatcher. + Args: + output_config: Configuration for the output destination + """ + super().__init__(output_config=output_config) + self.output_folder = output_config.folder_path + if not os.path.exists(self.output_folder): + os.makedirs(self.output_folder, exist_ok=True) + + @staticmethod + def _write_image_to_file(image: np.ndarray, file_path: str) -> None: + with open(file_path, "wb") as f: + success, img_buf = cv2.imencode(".png", image) + if success: + f.write(img_buf.tobytes()) + else: + logger.error(f"Failed to encode image for {file_path}") + + @staticmethod + def _write_predictions_to_file(predictions: str, file_path: str) -> None: + with open(file_path, "w", encoding="utf-8") as f: + f.write(predictions) + + def _dispatch( + self, + original_image: np.ndarray, + image_with_visualization: np.ndarray, + predictions: PredictionResult, + ) -> None: + timestamp = datetime.now().strftime("%Y%m%d_%H%M%S_%f")[:-3] # up to milliseconds + image_orig_file = os.path.join(self.output_folder, f"{timestamp}-original.jpg") + image_viz_file = os.path.join(self.output_folder, f"{timestamp}-pred.jpg") + pred_txt_file = os.path.join(self.output_folder, f"{timestamp}-pred.txt") + + logger.trace(f"Saving results to folder for timestamp '{timestamp}' to folder '{self.output_folder}'") + + if OutputFormat.IMAGE_ORIGINAL in self.output_formats: + self._write_image_to_file(original_image, image_orig_file) + if OutputFormat.IMAGE_WITH_PREDICTIONS in self.output_formats: + self._write_image_to_file(image_with_visualization, image_viz_file) + if OutputFormat.PREDICTIONS in self.output_formats: + self._write_predictions_to_file(str(predictions), pred_txt_file) diff --git a/application/backend/src/services/dispatchers/mqtt.py b/application/backend/src/services/dispatchers/mqtt.py new file mode 100644 index 0000000000..e5056003ac --- /dev/null +++ b/application/backend/src/services/dispatchers/mqtt.py @@ -0,0 +1,146 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import json +import threading +import time +from typing import Any + +import numpy as np +from anomalib.data import NumpyImageBatch as PredictionResult +from loguru import logger + +from pydantic_models.sink import MqttSinkConfig +from services.dispatchers.base import BaseDispatcher + +try: + import paho.mqtt.client as mqtt +except ImportError: + mqtt = None # type: ignore[assignment] + + +MAX_RETRIES = 3 +RETRY_DELAY = 1 +CONNECT_TIMEOUT = 10 + + +class MqttDispatcher(BaseDispatcher): + def __init__( + self, + output_config: MqttSinkConfig, + mqtt_client: "mqtt.Client | None" = None, + track_messages: bool | None = False, + ) -> None: + """ + Initialize the MqttDispatcher. + + Args: + output_config: Configuration for the MQTT destination + mqtt_client: MQTT client + track_messages: Flag to track MQTT messages (useful for debugging/testing) + + Raises: + ImportError: If paho-mqtt is not installed + ConnectionError: If unable to connect to MQTT broker + """ + if mqtt is None: + raise ImportError("paho-mqtt is required for MQTT dispatcher.") + + super().__init__(output_config) + self.broker_host = output_config.broker_host + self.broker_port = output_config.broker_port + self.topic = output_config.topic + self.username, self.password = output_config.get_credentials() + + self._connected = False + self._connection_lock = threading.Lock() + self._connection_event = threading.Event() + self._track_messages = track_messages + self._published_messages: list[dict] = [] + + self.client = mqtt_client or self._create_default_client() + self._connect() + + def _create_default_client(self) -> "mqtt.Client": + client_id = f"dispatcher_{int(time.time())}" + client = mqtt.Client(client_id=client_id) + client.on_connect = self._on_connect + client.on_disconnect = self._on_disconnect + if self.username is not None and self.password is not None: + client.username_pw_set(self.username, self.password) + return client + + def _connect(self) -> None: + for attempt in range(MAX_RETRIES): + try: + logger.info( + "Connecting to MQTT broker at %s:%s (attempt %s)", self.broker_host, self.broker_port, attempt + 1 + ) + self.client.connect(self.broker_host, self.broker_port) + self.client.loop_start() + if self._connection_event.wait(CONNECT_TIMEOUT): + return + logger.warning(f"Connection timeout after {CONNECT_TIMEOUT} seconds") + except Exception as e: + logger.error("Connection failed %s", e) + time.sleep(RETRY_DELAY * (attempt + 1)) + raise ConnectionError("Failed to connect to MQTT broker") + + def _on_connect(self, _client: "mqtt.Client", _userdata: Any, _flags: dict[str, int], rc: int): + if rc == 0: + self._connected = True + self._connection_event.set() + logger.info("Connected to MQTT broker") + else: + logger.error(f"MQTT connect failed with code {rc}") + + def _on_disconnect(self, _client: "mqtt.Client", _userdata: Any, rc: int): + self._connected = False + self._connection_event.clear() + logger.warning(f"MQTT disconnected (rc={rc})") + + @property + def is_connected(self) -> bool: + return self._connected + + def __publish_message(self, topic: str, payload: dict[str, Any]) -> None: + if not self._connected: + logger.warning("Client not connected. Reconnecting...") + try: + self._connect() + except ConnectionError: + logger.error("Reconnect failed") + + try: + PredictionResult = self.client.publish(topic, json.dumps(payload)) + if PredictionResult.rc == mqtt.MQTT_ERR_SUCCESS and self._track_messages: + self._published_messages.append({"topic": topic, "payload": payload}) + logger.error(f"Publish failed: {mqtt.error_string(PredictionResult.rc)}") + except ValueError: + logger.error("Invalid payload for MQTT publish") + + def _dispatch( + self, + original_image: np.ndarray, + image_with_visualization: np.ndarray, + predictions: PredictionResult, + ) -> None: + payload = self._create_payload(original_image, image_with_visualization, predictions) + + self.__publish_message(self.topic, payload) + + def get_published_messages(self) -> list: + return self._published_messages.copy() + + def clear_published_messages(self) -> None: + self._published_messages.clear() + + def close(self) -> None: + err = self.client.loop_stop() + if err != mqtt.MQTT_ERR_SUCCESS: + logger.warning(f"Error stopping MQTT loop: {mqtt.error_string(err)}") + err = self.client.disconnect() + if err != mqtt.MQTT_ERR_SUCCESS: + logger.warning(f"Error disconnecting MQTT client: {mqtt.error_string(err)}") + self._connected = False + self._connection_event.clear() diff --git a/application/backend/src/services/dispatchers/webhook.py b/application/backend/src/services/dispatchers/webhook.py new file mode 100644 index 0000000000..2d7d48e4e2 --- /dev/null +++ b/application/backend/src/services/dispatchers/webhook.py @@ -0,0 +1,62 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +"""This module contains the WebhookDispatcher class for dispatching images and predictions to a webhook endpoint.""" + +from typing import Any + +import numpy as np +import requests +from anomalib.data import NumpyImageBatch as PredictionResult +from loguru import logger +from requests.adapters import HTTPAdapter +from urllib3.util.retry import Retry + +from pydantic_models.sink import WebhookSinkConfig +from services.dispatchers.base import BaseDispatcher + +MAX_RETRIES = 3 +BACKOFF_FACTOR = 0.3 +RETRY_ON_STATUS = [500, 502, 503, 504] + + +class WebhookDispatcher(BaseDispatcher): + def __init__(self, output_config: WebhookSinkConfig) -> None: + """ + Initialize the WebhookDispatcher. + Args: + output_config: Configuration for the webhook-based output destination + """ + super().__init__(output_config=output_config) + self.webhook_url = output_config.webhook_url + self.http_method = output_config.http_method + self.headers = output_config.headers + self.timeout = output_config.timeout + self.session = requests.Session() + retries = Retry( + total=MAX_RETRIES, + backoff_factor=BACKOFF_FACTOR, + status_forcelist=RETRY_ON_STATUS, + allowed_methods=["PATCH", "POST", "PUT"], + ) + adapter = HTTPAdapter(max_retries=retries) + self.session.mount("http://", adapter) + self.session.mount("https://", adapter) + + def __send_to_webhook(self, payload: dict[str, Any]) -> None: + logger.debug(f"Sending payload to webhook at {self.webhook_url}") + response = self.session.request( + self.http_method, self.webhook_url, headers=self.headers, json=payload, timeout=self.timeout + ) + response.raise_for_status() + logger.debug(f"Response from webhook: {response.text}") + + def _dispatch( + self, + original_image: np.ndarray, + image_with_visualization: np.ndarray, + predictions: PredictionResult, + ) -> None: + payload = self._create_payload(original_image, image_with_visualization, predictions) + + self.__send_to_webhook(payload) diff --git a/application/backend/src/services/exceptions.py b/application/backend/src/services/exceptions.py new file mode 100644 index 0000000000..c1e25ea9d3 --- /dev/null +++ b/application/backend/src/services/exceptions.py @@ -0,0 +1,65 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from enum import StrEnum + + +class ResourceType(StrEnum): + """Enumeration for resource types.""" + + SOURCE = "Source" + SINK = "Sink" + MODEL = "Model" + PIPELINE = "Pipeline" + PROJECT = "Project" + DATASET_ITEM = "DatasetItem" + LABEL = "Label" + MEDIA = "Media" + + +class ResourceError(Exception): + """Base exception for resource-related errors.""" + + def __init__(self, resource_type: ResourceType, resource_id: str, message: str): + super().__init__(message) + self.message: str = message + self.resource_type = resource_type + self.resource_id = resource_id + + +class ResourceNotFoundError(ResourceError): + """Exception raised when a resource is not found.""" + + def __init__(self, resource_type: ResourceType, resource_id: str, message: str | None = None): + msg = message or f"{resource_type} with ID {resource_id} not found." + super().__init__(resource_type, resource_id, msg) + + +class ResourceInUseError(ResourceError): + """Exception raised when trying to delete a resource that is currently in use.""" + + def __init__(self, resource_type: ResourceType, resource_id: str, message: str | None = None): + msg = message or f"{resource_type} with ID {resource_id} cannot be deleted because it is in use." + super().__init__(resource_type, resource_id, msg) + + +class ResourceAlreadyExistsError(ResourceError): + """Exception raised when a resource with the same name already exists.""" + + def __init__(self, resource_type: ResourceType, resource_name: str, message: str | None = None): + msg = message or f"{resource_type} with name '{resource_name}' already exists." + super().__init__(resource_type, resource_name, msg) + + +class DeviceNotFoundError(Exception): + """Exception raised when a specified device is not found.""" + + def __init__(self, device_name: str): + super().__init__(f"Device '{device_name}' not found.") + + +class ActivePipelineConflictError(Exception): + """Exception raised when a pipeline cannot be activated.""" + + def __init__(self, pipeline_id: str, reason: str): + self.message: str = f"Cannot activate pipeline with ID {pipeline_id}: {reason}." + super().__init__(self.message) diff --git a/application/backend/src/services/job_service.py b/application/backend/src/services/job_service.py new file mode 100644 index 0000000000..d98203124f --- /dev/null +++ b/application/backend/src/services/job_service.py @@ -0,0 +1,147 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +import datetime +import json +import logging +from collections.abc import AsyncGenerator +from uuid import UUID + +import anyio +from sqlalchemy.exc import IntegrityError +from sse_starlette import ServerSentEvent + +from db import get_async_db_session_ctx +from exceptions import DuplicateJobException, ResourceNotFoundException +from pydantic_models import Job, JobList, JobType +from pydantic_models.job import JobCancelled, JobStatus, JobSubmitted, TrainJobPayload +from repositories import JobRepository + +logger = logging.getLogger(__name__) + + +class JobService: + @staticmethod + async def get_job_list(extra_filters: dict | None = None) -> JobList: + async with get_async_db_session_ctx() as session: + repo = JobRepository(session) + return JobList(jobs=await repo.get_all(extra_filters=extra_filters)) + + @staticmethod + async def get_job_by_id(job_id: UUID | str) -> Job | None: + async with get_async_db_session_ctx() as session: + repo = JobRepository(session) + return await repo.get_by_id(job_id) + + @staticmethod + async def submit_train_job(payload: TrainJobPayload) -> JobSubmitted: + async with get_async_db_session_ctx() as session: + repo = JobRepository(session) + if await repo.is_job_duplicate(project_id=payload.project_id, payload=payload): + raise DuplicateJobException + + try: + job = Job( + project_id=payload.project_id, + type=JobType.TRAINING, + payload=payload.model_dump(), + message="Training job submitted", + ) + saved_job = await repo.save(job) + return JobSubmitted(job_id=saved_job.id) + except IntegrityError: + raise ResourceNotFoundException(resource_id=payload.project_id, resource_name="project") + + @staticmethod + async def get_pending_train_job() -> Job | None: + async with get_async_db_session_ctx() as session: + repo = JobRepository(session) + return await repo.get_pending_job_by_type(JobType.TRAINING) + + @staticmethod + async def update_job_status( + job_id: UUID, + status: JobStatus, + message: str | None = None, + progress: int | None = None, + ) -> None: + async with get_async_db_session_ctx() as session: + repo = JobRepository(session) + job = await repo.get_by_id(job_id) + if job is None: + raise ResourceNotFoundException(resource_id=job_id, resource_name="job") + updates: dict = {"status": status} + if message is not None: + updates["message"] = message + progress_ = 100 if status is JobStatus.COMPLETED else progress + + if status in {JobStatus.COMPLETED, JobStatus.FAILED, JobStatus.CANCELED}: + updates["end_time"] = datetime.datetime.now(tz=datetime.UTC) + + if progress_ is not None: + updates["progress"] = progress_ + await repo.update(job, updates) + + @classmethod + async def is_job_still_running(cls, job_id: UUID | str) -> bool: + job = await cls.get_job_by_id(job_id=job_id) + if job is None: + raise ResourceNotFoundException(resource_id=job_id, resource_name="job") + return job.status == JobStatus.RUNNING + + @classmethod + async def stream_logs(cls, job_id: UUID | str) -> AsyncGenerator[ServerSentEvent]: + from core.logging.utils import get_job_logs_path # noqa: PLC0415 + + log_file = get_job_logs_path(job_id=job_id) + if not await anyio.Path(log_file).exists(): + raise ResourceNotFoundException(resource_id=job_id, resource_name="job_logs") + + # Cache job status and only check every 2 seconds + status_check_interval = 2.0 # seconds + last_status_check = 0.0 + cached_still_running = True + loop = asyncio.get_running_loop() + + async with await anyio.open_file(log_file) as f: + while True: + line = await f.readline() + now = loop.time() + # Only check job status every status_check_interval seconds + if now - last_status_check > status_check_interval: + cached_still_running = await cls.is_job_still_running(job_id=job_id) + last_status_check = now + still_running = cached_still_running + if not line: + # wait for more lines if job is still running + if still_running: + await asyncio.sleep(0.5) + continue + # No more lines are expected + else: + break + yield ServerSentEvent(data=line.rstrip()) + + @classmethod + async def stream_progress(cls, job_id: UUID | str) -> AsyncGenerator[ServerSentEvent]: + """Stream the progress of a job by its ID""" + still_running = True + while still_running: + job = await cls.get_job_by_id(job_id=job_id) + if job is None: + raise ResourceNotFoundException(resource_id=job_id, resource_name="job") + yield ServerSentEvent(data=json.dumps({"progress": job.progress, "message": job.message})) + still_running = job.status in {JobStatus.RUNNING, JobStatus.PENDING} + await asyncio.sleep(0.5) + + @classmethod + async def cancel_job(cls, job_id: UUID | str) -> JobCancelled: + """Cancel a job by its ID""" + async with get_async_db_session_ctx() as session: + repo = JobRepository(session) + job = await repo.get_by_id(job_id) + if job is None: + raise ResourceNotFoundException(resource_id=job_id, resource_name="job") + + await repo.update(job, {"status": JobStatus.CANCELED}) + return JobCancelled(job_id=job.id) diff --git a/application/backend/src/services/media_service.py b/application/backend/src/services/media_service.py new file mode 100644 index 0000000000..c406dce758 --- /dev/null +++ b/application/backend/src/services/media_service.py @@ -0,0 +1,190 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +import os +from io import BytesIO +from uuid import UUID, uuid4 + +from fastapi import UploadFile +from loguru import logger +from PIL import Image + +from db import get_async_db_session_ctx +from pydantic_models import Media, MediaList +from repositories import MediaRepository +from repositories.binary_repo import ImageBinaryRepository +from services import ResourceNotFoundError +from services.exceptions import ResourceType + +THUMBNAIL_SIZE = 256 # Max width/height for thumbnails in pixels + + +class MediaService: + @staticmethod + def _get_thumbnail_filename(media_id: UUID) -> str: + """Generate thumbnail filename for a given media ID.""" + return f"thumb_{media_id}.png" + + @staticmethod + async def get_media_list(project_id: UUID) -> MediaList: + async with get_async_db_session_ctx() as session: + repo = MediaRepository(session, project_id=project_id) + return MediaList(media=await repo.get_all()) + + @staticmethod + async def get_media_by_id(project_id: UUID, media_id: UUID) -> Media | None: + async with get_async_db_session_ctx() as session: + repo = MediaRepository(session, project_id=project_id) + return await repo.get_by_id(media_id) + + @classmethod + async def get_media_file_path(cls, project_id: UUID, media_id: UUID) -> str: + media = await cls.get_media_by_id(project_id=project_id, media_id=media_id) + if media is None: + raise FileNotFoundError(f"Media with ID {media_id} not found.") + bin_repo = ImageBinaryRepository(project_id=project_id) + return bin_repo.get_full_path(filename=media.filename) + + @classmethod + async def get_thumbnail_file_path(cls, project_id: UUID, media_id: UUID) -> str: + """Get the file path for a media's thumbnail.""" + media = await cls.get_media_by_id(project_id=project_id, media_id=media_id) + if media is None: + raise FileNotFoundError(f"Media with ID {media_id} not found.") + bin_repo = ImageBinaryRepository(project_id=project_id) + thumbnail_filename = cls._get_thumbnail_filename(media_id) + return bin_repo.get_full_path(filename=thumbnail_filename) + + @classmethod + async def upload_image(cls, project_id: UUID, file: UploadFile, image_bytes: bytes, is_anomalous: bool) -> Media: + # Generate unique filename and media ID + media_id = uuid4() + + if file.filename is None or file.size is None: + raise ValueError("File must have a filename and size") + + extension = list(os.path.splitext(file.filename)).pop().lower() + filename = f"{media_id}{extension}" + bin_repo = ImageBinaryRepository(project_id=project_id) + saved_media: Media | None = None + + # Extract image dimensions + def _get_image_size() -> tuple[int, int]: + with Image.open(BytesIO(image_bytes)) as img: + return img.size # Returns (width, height) + + width, height = await asyncio.to_thread(_get_image_size) + + async with get_async_db_session_ctx() as session: + media_repo = MediaRepository(session, project_id=project_id) + try: + # Save original file to filesystem + saved_file_path = await bin_repo.save_file( + filename=filename, + content=image_bytes, + ) + logger.info(f"Saved media file: {saved_file_path}") + + # Create media record in database + media = Media( + id=media_id, + project_id=project_id, + filename=filename, + size=file.size, + is_anomalous=is_anomalous, + width=width, + height=height, + ) + saved_media = await media_repo.save(media) + except Exception as e: + logger.error(f"Rolling back media upload due to error: {e}") + # Attempt to delete the files if they were saved + try: + await cls._delete_media_file(project_id=project_id, filename=filename) + except Exception as delete_error: + logger.error(f"Failed to delete media file during rollback: {delete_error}") + if saved_media is not None: + await media_repo.delete_by_id(saved_media.id) + raise e + return saved_media + + @classmethod + async def delete_media(cls, media_id: UUID, project_id: UUID) -> None: + async with get_async_db_session_ctx() as session: + media_repo = MediaRepository(session, project_id=project_id) + media = await media_repo.get_by_id(media_id) + if media is None: + raise ResourceNotFoundError(resource_type=ResourceType.MEDIA, resource_id=str(media_id)) + await media_repo.delete_by_id(media_id) + thumbnail_filename = cls._get_thumbnail_filename(media_id) + await cls._delete_media_file(project_id=project_id, filename=media.filename) + await cls._delete_media_file(project_id=project_id, filename=thumbnail_filename) + + @staticmethod + async def _delete_media_file(project_id: UUID, filename: str) -> None: + bin_repo = ImageBinaryRepository(project_id=project_id) + + try: + await bin_repo.delete_file(filename=filename) + except FileNotFoundError: + logger.warning(f"File `{filename}` not found during media deletion.") + except Exception as e: + logger.error(f"Error deleting file `{filename}`: {e}") + raise e + + @classmethod + async def generate_thumbnail( + cls, + project_id: UUID, + media_id: UUID, + image_bytes: bytes, + height_px: int = THUMBNAIL_SIZE, + width_px: int = THUMBNAIL_SIZE, + ) -> None: + """Create and persist a PNG thumbnail for a media item. + + Resizes the input image to fit within width_px x height_px while + preserving aspect ratio. Intended to run as a background task so the + upload path stays fast. + + Args: + project_id: Identifier of the owning project. + media_id: Identifier of the media item the thumbnail belongs to. + image_bytes: Original image bytes used to create the thumbnail. + height_px: Maximum thumbnail height in pixels. Defaults to + ``THUMBNAIL_SIZE``. + width_px: Maximum thumbnail width in pixels. Defaults to + ``THUMBNAIL_SIZE``. + + Returns: + None + + Raises: + Exception: If processing or persistence fails + """ + + def _create() -> bytes: + with Image.open(BytesIO(image_bytes)) as img: + # Preserve aspect ratio while fitting within the box + img.thumbnail((width_px, height_px)) + with BytesIO() as buf: + img.save(buf, format="PNG") + return buf.getvalue() + + thumbnail_bytes = await asyncio.to_thread(_create) + thumbnail_filename = cls._get_thumbnail_filename(media_id) + bin_repo = ImageBinaryRepository(project_id=project_id) + try: + thumbnail_path = await bin_repo.save_file( + filename=thumbnail_filename, + content=thumbnail_bytes, + ) + logger.info(f"Saved thumbnail: {thumbnail_path}") + except Exception as e: + logger.error(f"Rolling back media thumbnail generation due to error: {e}") + # Attempt to delete the files if they were saved + try: + await cls._delete_media_file(project_id=project_id, filename=thumbnail_filename) + except Exception as delete_error: + logger.error(f"Failed to delete media file during rollback: {delete_error}") + raise e diff --git a/application/backend/src/services/metrics_service.py b/application/backend/src/services/metrics_service.py new file mode 100644 index 0000000000..17f4b5095b --- /dev/null +++ b/application/backend/src/services/metrics_service.py @@ -0,0 +1,132 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import time +from collections import defaultdict +from datetime import UTC, datetime +from multiprocessing.shared_memory import SharedMemory +from multiprocessing.synchronize import Lock +from typing import NamedTuple +from uuid import UUID + +import numpy as np +from loguru import logger + +MAX_MEASUREMENTS = 1024 # max number of measurements to keep +DTYPE = np.dtype([ + ("model_id", "U36"), # 36 * 4 = 144 bytes for UUID string + ("latency_ms", np.dtype(float)), # 8 bytes for latency in milliseconds + ("timestamp", np.dtype(float)), # 8 bytes for timestamp (epoch time in seconds) +]) # 144 + 8 + 8 = 160 bytes per latency measurement +SIZE = DTYPE.itemsize * MAX_MEASUREMENTS # 160 * 1024 = 163840 bytes (160KB) allocated + + +class LatencyMeasurement(NamedTuple): + """Individual latency measurement""" + + model_id: str # UUID as 36 character string "00000000-0000-0000-0000-000000000000" + latency_ms: float + timestamp: float + + +class MetricsService: + """Process-safe metrics service using shared memory for model metric data""" + + def __init__(self, shm_name: str, lock: Lock, max_age_seconds: int = 60): + self._max_age_seconds = max_age_seconds + self._lock = lock + self._shm = SharedMemory(name=shm_name) + self._array: np.ndarray = np.ndarray((MAX_MEASUREMENTS,), dtype=DTYPE, buffer=self._shm.buf) + self._head = 0 # index for next write + + def update_max_age(self, max_age_seconds: int) -> None: + with self._lock: + self._max_age_seconds = max_age_seconds + + @staticmethod + def record_inference_start() -> float: + return time.perf_counter() + + def record_inference_end(self, model_id: UUID, start_time: float) -> None: + """ + Record the end of an inference and store the latency measurement. + + Args: + model_id: UUID of the model to record measurement for + start_time: Start time from record_inference_start() + """ + end_time = time.perf_counter() + latency_ms = (end_time - start_time) * 1000.0 + timestamp = datetime.now(UTC).timestamp() + + measurement = LatencyMeasurement(str(model_id), latency_ms, timestamp) + with self._lock: + idx = self._head % MAX_MEASUREMENTS + self._array[idx] = (measurement.model_id, measurement.latency_ms, measurement.timestamp) + self._head += 1 + logger.debug(f"Latency measurement recorded for model {model_id}: {latency_ms:.2f} ms") + + def get_latency_measurements(self, model_id: UUID, time_window: int = 60) -> list[float]: + """ + Retrieve latency measurements for a specific model within the given time window. + + Args: + model_id: UUID of the model to filter measurements + time_window: Time window in seconds to look back for measurements (default 60s) + + Returns: List of latency measurements in milliseconds + """ + str_model_id = str(model_id) + cutoff_time = datetime.now(UTC).timestamp() - time_window + with self._lock: + arr = self._array.copy() + result = [] + for entry in arr: + if entry["timestamp"] < cutoff_time or entry["timestamp"] == 0.0: + continue + if entry["model_id"] == str_model_id: + result.append(entry["latency_ms"]) + return result + + def get_throughput_measurements(self, model_id: UUID, time_window: int = 60) -> tuple[int, list[tuple[float, int]]]: + """ + Retrieve throughput measurements for a specific model within the given time window. + + Args: + model_id: UUID of the model to filter measurements + time_window: Time window in seconds to look back for measurements (default 60s) + + Returns: Tuple of (total_requests, list of (timestamp, inference_count) per second) + """ + str_model_id = str(model_id) + cutoff_time = datetime.now(UTC).timestamp() - time_window + with self._lock: + arr = self._array.copy() + + # Count inferences per second + inferences_per_second: dict[int, int] = defaultdict(int) + total_requests = 0 + + for entry in arr: + if entry["timestamp"] < cutoff_time or entry["timestamp"] == 0.0: + continue + if entry["model_id"] == str_model_id: + # Round timestamp to the nearest second + second_timestamp = int(entry["timestamp"]) + inferences_per_second[second_timestamp] += 1 + total_requests += 1 + + # Convert to list of (timestamp, count) tuples + throughput_data = [(float(ts), count) for ts, count in inferences_per_second.items()] + throughput_data.sort() # Sort by timestamp + + return total_requests, throughput_data + + def reset(self) -> None: + with self._lock: + self._max_age_seconds = 60 + self._array[:] = "00000000-0000-0000-0000-000000000000", 0.0, 0.0 + self._head = 0 + + def __del__(self): + self._shm.close() diff --git a/application/backend/src/services/model_service.py b/application/backend/src/services/model_service.py new file mode 100644 index 0000000000..1141d5c71c --- /dev/null +++ b/application/backend/src/services/model_service.py @@ -0,0 +1,217 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +import base64 +import io +from dataclasses import dataclass +from multiprocessing.synchronize import Event as EventClass +from uuid import UUID + +import cv2 +import numpy as np +import openvino.properties.hint as ov_hints +from anomalib.deploy import ExportType, OpenVINOInferencer +from loguru import logger +from PIL import Image + +from db import get_async_db_session_ctx +from pydantic_models import Model, ModelList, PredictionLabel, PredictionResponse +from repositories import JobRepository, ModelRepository +from repositories.binary_repo import ModelBinaryRepository +from services.exceptions import DeviceNotFoundError +from utils.devices import Devices + +DEFAULT_DEVICE = "AUTO" + + +@dataclass +class LoadedModel: + name: str + id: UUID + model: Model + device: str | None = None + + def __post_init__(self): + self.device = self.device or DEFAULT_DEVICE + + +class ModelService: + """Service for managing models and inference operations. + + Handles model CRUD operations, loading inference models, and running + predictions on images. Uses asyncio.to_thread for CPU-intensive operations + to maintain event loop responsiveness. + """ + + def __init__(self, mp_model_reload_event: EventClass | None = None) -> None: + self._mp_model_reload_event = mp_model_reload_event + + def activate_model(self) -> None: + """Notify workers to (re)load the active model. + + Sets the shared multiprocessing event so the inference worker reloads + the current active model lazily and only once. + """ + try: + if self._mp_model_reload_event is not None: + self._mp_model_reload_event.set() + except Exception as e: + # Best-effort signaling; avoid bubbling up to API layer + logger.debug(f"Failed to signal model reload event: {e}") + + @staticmethod + async def create_model(model: Model) -> Model: + async with get_async_db_session_ctx() as session: + repo = ModelRepository(session, project_id=model.project_id) + return await repo.save(model) + + @staticmethod + async def get_model_list(project_id: UUID) -> ModelList: + async with get_async_db_session_ctx() as session: + repo = ModelRepository(session, project_id=project_id) + return ModelList(models=await repo.get_all()) + + @staticmethod + async def get_model_by_id(project_id: UUID, model_id: UUID) -> Model | None: + async with get_async_db_session_ctx() as session: + repo = ModelRepository(session, project_id=project_id) + return await repo.get_by_id(model_id) + + async def delete_model(self, project_id: UUID, model_id: UUID, delete_artifacts: bool = True) -> None: + if delete_artifacts: + model_binary_repo = ModelBinaryRepository(project_id=project_id, model_id=model_id) + try: + await model_binary_repo.delete_model_folder() + except FileNotFoundError: + logger.warning( + "Model artifacts already absent on disk for model %s in project %s", model_id, project_id + ) + + async with get_async_db_session_ctx() as session: + repo = ModelRepository(session, project_id=project_id) + model = await repo.get_by_id(model_id) + + if model is None: + return + + job_repo = JobRepository(session) + train_job_id = model.train_job_id + + async with session.begin(): + await repo.delete_by_id(model_id) + + if train_job_id: + await job_repo.delete_by_id(train_job_id) + + self.activate_model() + + @classmethod + async def load_inference_model(cls, model: Model, device: str | None = None) -> OpenVINOInferencer: + """Load a model for inference using the anomalib OpenVINO inferencer. + + Args: + model: The model to load + device: Device to use for inference. If None, defaults to "AUTO" + """ + if model.format is not ExportType.OPENVINO: + raise NotImplementedError(f"Model format {model.format} is not supported for inference at this moment.") + + model_bin_repo = ModelBinaryRepository(project_id=model.project_id, model_id=model.id) + model_path = model_bin_repo.get_weights_file_path(format=model.format, name="model.xml") + device_name = device or DEFAULT_DEVICE + try: + return await asyncio.to_thread( + OpenVINOInferencer, + path=model_path, + device=device_name.upper(), # OV always expects uppercase device names + config={ov_hints.performance_mode: ov_hints.PerformanceMode.LATENCY}, + ) + except Exception as e: + if device and not Devices.is_device_supported_for_inference(device): + raise DeviceNotFoundError(device_name=device_name) from e + raise e + + @classmethod + async def predict_image( + cls, + model: Model, + image_bytes: bytes, + cached_models: dict[UUID, OpenVINOInferencer] | None = None, + device: str | None = None, + ) -> PredictionResponse: + """Run prediction on an image using the specified model. + + Uses asyncio.to_thread to run the entire CPU-intensive prediction pipeline + in a single thread, maintaining event loop responsiveness. + + Args: + model: The model to use for prediction + image_bytes: Raw image bytes from uploaded file + cached_models: Optional dict to cache loaded models (for performance) + device: Optional string indicating the device to use for inference + + Returns: + PredictionResponse: Structured prediction results + """ + # Determine if we can use cached model (must exist and device must match if specified) + use_cached = ( + cached_models is not None + and model.id in cached_models + and (device is None or cached_models[model.id].device == device) + ) + + if use_cached and cached_models is not None: + inference_model = cached_models[model.id] + else: + logger.info(f"Loading model with device: {device or DEFAULT_DEVICE}") + inference_model = await cls.load_inference_model(model, device=device) + if cached_models is not None: + cached_models[model.id] = inference_model + + # Run entire prediction pipeline in a single thread + # This includes image processing, model inference, and result processing + response_data = await asyncio.to_thread(cls._run_prediction_pipeline, inference_model, image_bytes) + + return PredictionResponse(**response_data) + + @staticmethod + def _run_prediction_pipeline(inference_model: OpenVINOInferencer, image_bytes: bytes) -> dict: + """Run the complete prediction pipeline in a single thread.""" + # Process image + npd = np.frombuffer(image_bytes, np.uint8) + bgr_image = cv2.imdecode(npd, -1) + if bgr_image is None: + raise ValueError("Failed to decode image") + + numpy_image = cv2.cvtColor(bgr_image, cv2.COLOR_BGR2RGB) + + # Run prediction + pred = inference_model.predict(numpy_image) + + # Process anomaly map + if pred.anomaly_map is None: + raise ValueError("Prediction returned no anomaly map") + + arr = pred.anomaly_map.squeeze() # Remove dimensions of size 1 + arr_scaled = (arr * 255).astype(np.uint8) # Scale to 0-255 and convert to uint8 + # convert to color map + heatmap = cv2.applyColorMap(arr_scaled, cv2.COLORMAP_JET) + # Add alpha channel with opacity weighted according to the anomaly score + heatmap = cv2.cvtColor(heatmap, cv2.COLOR_BGR2RGBA) + heatmap[:, :, 3] = arr_scaled + + im = Image.fromarray(heatmap) # Automatically detects RGBA mode + + # Convert to base64 + with io.BytesIO() as buf: + im.save(buf, format="PNG") + im_base64 = base64.b64encode(buf.getvalue()).decode("utf-8") + + # Create response data + if pred.pred_label is None or pred.pred_score is None: + raise ValueError("Prediction returned no label or score") + + label = PredictionLabel.ANOMALOUS if pred.pred_label.item() else PredictionLabel.NORMAL + score = float(pred.pred_score.item()) + + return {"anomaly_map": im_base64, "label": label, "score": score} diff --git a/application/backend/src/services/pipeline_metrics_service.py b/application/backend/src/services/pipeline_metrics_service.py new file mode 100644 index 0000000000..df3cbf7cdb --- /dev/null +++ b/application/backend/src/services/pipeline_metrics_service.py @@ -0,0 +1,94 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import statistics +from datetime import UTC, datetime, timedelta +from uuid import UUID + +from exceptions import ResourceNotFoundException +from pydantic_models import PipelineStatus +from pydantic_models.metrics import InferenceMetrics, LatencyMetrics, PipelineMetrics, ThroughputMetrics, TimeWindow + +from .metrics_service import MetricsService +from .pipeline_service import PipelineService + + +class PipelineMetricsService: + def __init__( + self, + pipeline_service: PipelineService, + metrics_service: MetricsService, + ) -> None: + self._pipeline_service: PipelineService = pipeline_service + self._metrics_service: MetricsService = metrics_service + + async def get_pipeline_metrics(self, pipeline_id: UUID, time_window: int = 60) -> PipelineMetrics: + """Calculate metrics for a pipeline over a specified time window.""" + # First check if pipeline exists + pipeline = await self._pipeline_service.get_pipeline_by_id(pipeline_id) + if pipeline is None: + raise ResourceNotFoundException(resource_id=pipeline_id, resource_name="pipeline") + if pipeline.status != PipelineStatus.RUNNING: + raise ValueError("Cannot get metrics for a pipeline that is not running.") + + # Calculate time window + end_time = datetime.now(UTC) + start_time = end_time - timedelta(seconds=time_window) + + # Get actual latency measurements from the metrics service + latency_samples = self._metrics_service.get_latency_measurements( + model_id=pipeline.model_id, # type: ignore[arg-type] # model is always there for running pipeline + time_window=time_window, + ) + + # Calculate latency metrics + if latency_samples: + latency_metrics = LatencyMetrics( + avg_ms=statistics.mean(latency_samples), + min_ms=min(latency_samples), + max_ms=max(latency_samples), + p95_ms=self._calculate_percentile(latency_samples, 95), + latest_ms=latency_samples[-1], + ) + else: + # No data available + latency_metrics = LatencyMetrics(avg_ms=None, min_ms=None, max_ms=None, p95_ms=None, latest_ms=None) + + # Get throughput measurements from the metrics service + total_requests, throughput_data = self._metrics_service.get_throughput_measurements( + model_id=pipeline.model_id, # type: ignore[arg-type] + time_window=time_window, + ) + if total_requests: + throughput_metrics = ThroughputMetrics( + avg_requests_per_second=total_requests / time_window if time_window > 0 else 0.0, + total_requests=total_requests, + max_requests_per_second=max((count for _, count in throughput_data), default=0), + ) + else: + # No data available + throughput_metrics = ThroughputMetrics( + avg_requests_per_second=None, total_requests=None, max_requests_per_second=None + ) + + window = TimeWindow(start=start_time, end=end_time, time_window=time_window) + inference_metrics = InferenceMetrics(latency=latency_metrics, throughput=throughput_metrics) + return PipelineMetrics(time_window=window, inference=inference_metrics) + + @staticmethod + def _calculate_percentile(data: list[float], percentile: int) -> float: + """Calculate the specified percentile of the data.""" + if not data: + return 0.0 + + sorted_data = sorted(data) + k = (len(sorted_data) - 1) * (percentile / 100.0) + floor_k = int(k) + ceil_k = floor_k + 1 + + if ceil_k >= len(sorted_data): + return sorted_data[-1] + + # Linear interpolation + fraction = k - floor_k + return sorted_data[floor_k] + fraction * (sorted_data[ceil_k] - sorted_data[floor_k]) diff --git a/application/backend/src/services/pipeline_service.py b/application/backend/src/services/pipeline_service.py new file mode 100644 index 0000000000..22e2de6255 --- /dev/null +++ b/application/backend/src/services/pipeline_service.py @@ -0,0 +1,109 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from multiprocessing.synchronize import Condition +from uuid import UUID + +from loguru import logger +from sqlalchemy.ext.asyncio.session import AsyncSession + +from db import get_async_db_session_ctx +from pydantic_models import Pipeline, PipelineStatus +from repositories import PipelineRepository +from services import ActivePipelineConflictError, ActivePipelineService, ResourceNotFoundError +from services.exceptions import ResourceType +from services.model_service import ModelService + +MSG_ERR_DELETE_RUNNING_PIPELINE = "Cannot delete a running pipeline." + + +class PipelineService: + def __init__( + self, + active_pipeline_service: ActivePipelineService, + config_changed_condition: Condition, + model_service: ModelService, + ) -> None: + self._active_pipeline_service: ActivePipelineService = active_pipeline_service + self._config_changed_condition: Condition = config_changed_condition + self._model_service: ModelService = model_service + + def _notify_source_changed(self) -> None: + with self._config_changed_condition: + self._config_changed_condition.notify_all() + + async def _notify_sink_changed(self) -> None: + await self._active_pipeline_service.reload() + + async def _notify_pipeline_changed(self) -> None: + self._notify_source_changed() + await self._notify_sink_changed() + + @staticmethod + async def get_pipeline_by_id(project_id: UUID, session: AsyncSession | None = None) -> Pipeline: + """Retrieve a pipeline by project ID.""" + if session is None: + async with get_async_db_session_ctx() as db_session: + repo = PipelineRepository(db_session) + pipeline = await repo.get_by_id(project_id) + else: + repo = PipelineRepository(session) + pipeline = await repo.get_by_id(project_id) + if not pipeline: + raise ResourceNotFoundError(resource_type=ResourceType.PIPELINE, resource_id=str(project_id)) + return pipeline + + async def update_pipeline(self, project_id: UUID, partial_config: dict) -> Pipeline: + """Update an existing pipeline.""" + async with get_async_db_session_ctx() as session: + pipeline = await self.get_pipeline_by_id(project_id, session) + repo = PipelineRepository(session) + updated = await repo.update(pipeline, partial_config) + await session.commit() + # notify source changes + if pipeline.source != updated.source: + self._notify_source_changed() + if pipeline.status.is_running and updated.status.is_running: + if pipeline.sink.id != updated.sink.id: # type: ignore[union-attr] # sink is always there for running pipeline + await self._notify_sink_changed() + # If the active model changes while running, notify inference to reload + if pipeline.model.id != updated.model.id: # type: ignore[union-attr] + self._model_service.activate_model() + elif pipeline.status != updated.status: + # If the pipeline is being activated or stopped + await self._notify_pipeline_changed() + # Intentionally call activate_model on status change regardless of whether a model exists. + self._model_service.activate_model() + if updated.inference_device != pipeline.inference_device: + # reload model on device change + self._model_service.activate_model() + return updated + + @staticmethod + async def get_active_pipeline() -> Pipeline | None: + """Retrieve the currently active (running) pipeline from the database.""" + async with get_async_db_session_ctx() as session: + return await PipelineRepository(session).get_active_pipeline() + + async def activate_pipeline(self, project_id: UUID, set_running: bool = False) -> Pipeline: + """Activate a pipeline. If set_running is True, set the pipeline status to RUNNING.""" + active_pipeline = await self.get_active_pipeline() + if active_pipeline and active_pipeline.project_id != project_id: + raise ActivePipelineConflictError( + pipeline_id=str(project_id), + reason=( + f"another pipeline is already active. " + f"Please disable the pipeline {active_pipeline.id} before activating a new one" + ), + ) + if active_pipeline and ( + (active_pipeline.status == PipelineStatus.ACTIVE and not set_running) + or (active_pipeline.status == PipelineStatus.RUNNING and set_running) + ): + logger.info( + f"Activating already {active_pipeline.status.value.lower()} pipeline `{active_pipeline.id}`, " + f"no changes made." + ) + return active_pipeline + new_status = PipelineStatus.RUNNING if set_running else PipelineStatus.ACTIVE + return await self.update_pipeline(project_id, {"status": new_status}) diff --git a/application/backend/src/services/project_service.py b/application/backend/src/services/project_service.py new file mode 100644 index 0000000000..78afc0645e --- /dev/null +++ b/application/backend/src/services/project_service.py @@ -0,0 +1,34 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from uuid import UUID + +from db import get_async_db_session_ctx +from pydantic_models import Project, ProjectList +from repositories import ProjectRepository + + +class ProjectService: + @staticmethod + async def get_project_list() -> ProjectList: + async with get_async_db_session_ctx() as session: + repo = ProjectRepository(session) + return ProjectList(projects=await repo.get_all()) + + @staticmethod + async def get_project_by_id(project_id: UUID) -> Project | None: + async with get_async_db_session_ctx() as session: + repo = ProjectRepository(session) + return await repo.get_by_id(project_id) + + @staticmethod + async def create_project(project: Project) -> Project: + async with get_async_db_session_ctx() as session: + repo = ProjectRepository(session) + return await repo.save(project) + + @staticmethod + async def delete_project(project_id: UUID) -> None: + async with get_async_db_session_ctx() as session: + repo = ProjectRepository(session) + await repo.delete_by_id(project_id) diff --git a/application/backend/src/services/training_service.py b/application/backend/src/services/training_service.py new file mode 100644 index 0000000000..1b0aefd02d --- /dev/null +++ b/application/backend/src/services/training_service.py @@ -0,0 +1,289 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +import os +from contextlib import redirect_stdout +from uuid import UUID + +from anomalib.data import Folder +from anomalib.data.utils import ValSplitMode +from anomalib.deploy import ExportType +from anomalib.engine import Engine +from anomalib.loggers import AnomalibTensorBoardLogger +from anomalib.models import get_model +from loguru import logger + +from pydantic_models import Job, JobStatus, JobType, Model +from repositories.binary_repo import ImageBinaryRepository, ModelBinaryRepository +from services import ModelService +from services.job_service import JobService +from utils.callbacks import GetiInspectProgressCallback, ProgressSyncParams +from utils.devices import Devices +from utils.experiment_loggers import TrackioLogger + + +class TrainingService: + """ + Service for managing model training jobs. + + Handles the complete training pipeline including job fetching, model training, + status updates, and error handling. Currently, using asyncio.to_thread for + CPU-intensive training to maintain event loop responsiveness. + + Note: asyncio.to_thread is used assuming single concurrent training job. + For true parallelism with multiple training jobs, consider ProcessPoolExecutor. + """ + + @classmethod + async def train_pending_job(cls) -> Model | None: + """ + Process the next pending training job from the queue. + + Fetches a pending job, executes training in a separate thread to maintain + event loop responsiveness, and updates job status accordingly. + + Returns: + Model: Trained model if successful, None if no pending jobs + """ + job_service = JobService() + job = await job_service.get_pending_train_job() + if job is None: + logger.trace("No pending training job") + return None + + # Run the training job with logging context + from core.logging.utils import job_logging_ctx # noqa: PLC0415 + + with job_logging_ctx(job_id=str(job.id)): + return await cls._run_training_job(job, job_service) + + @classmethod + async def _run_training_job(cls, job: Job, job_service: JobService) -> Model | None: + # Mark job as running + await job_service.update_job_status(job_id=job.id, status=JobStatus.RUNNING, message="Training started") + project_id = job.project_id + model_name = job.payload.get("model_name") + device = job.payload.get("device") + if model_name is None: + raise ValueError(f"Job {job.id} payload must contain 'model_name'") + + model_service = ModelService() + model = Model( + project_id=project_id, + name=str(model_name), + train_job_id=job.id, + ) + synchronization_parameters = ProgressSyncParams() + logger.info(f"Training model `{model_name}` for job `{job.id}`") + + synchronization_task: asyncio.Task[None] | None = None + try: + synchronization_task = asyncio.create_task( + cls._sync_progress_with_db( + job_service=job_service, job_id=job.id, synchronization_parameters=synchronization_parameters + ) + ) + # Use asyncio.to_thread to keep event loop responsive + # TODO: Consider ProcessPoolExecutor for true parallelism with multiple jobs + trained_model = await asyncio.to_thread( + cls._train_model, + model=model, + device=device, + synchronization_parameters=synchronization_parameters, + ) + + if synchronization_parameters.cancel_training_event.is_set(): + await cls._handle_job_cancellation(job_service=job_service, job=job, model=model) + return None + + if trained_model is None: + raise ValueError("Training failed - model is None") + + await job_service.update_job_status( + job_id=job.id, status=JobStatus.COMPLETED, message="Training completed successfully" + ) + return await model_service.create_model(trained_model) + except Exception as e: + logger.error("Failed to train pending training job: %s", e) + await job_service.update_job_status( + job_id=job.id, status=JobStatus.FAILED, message=f"Failed with exception: {str(e)}" + ) + if model.export_path: + logger.warning(f"Deleting partially created model with id: {model.id}") + await model_service.delete_model(project_id=project_id, model_id=model.id, delete_artifacts=True) + raise e + finally: + logger.debug("Syncing progress with db stopped") + if synchronization_task is not None and not synchronization_task.done(): + synchronization_task.cancel() + + @staticmethod + def _train_model( + model: Model, synchronization_parameters: ProgressSyncParams, device: str | None = None + ) -> Model | None: + """ + Execute CPU-intensive model training using anomalib. + + This synchronous function runs in a separate thread via asyncio.to_thread + to prevent blocking the event loop. Sets up the anomalib model, trains it + on the dataset, and exports it in OpenVINO format. + + Args: + model: Model object with training configuration + synchronization_parameters: Parameters for synchronization between the main process and the training process + device: Device to train on + + Returns: + Model: Trained model with updated export_path and is_ready=True + """ + from core.logging import global_log_config # noqa: PLC0415 + from core.logging.handlers import LoggerStdoutWriter # noqa: PLC0415 + + if device and not Devices.is_device_supported_for_training(device): + raise ValueError( + f"Device '{device}' is not supported for training. " + f"Supported devices: {', '.join(Devices.training_devices())}" + ) + + training_device = device or "auto" + logger.info(f"Training on device: {training_device}") + + model_binary_repo = ModelBinaryRepository(project_id=model.project_id, model_id=model.id) + image_binary_repo = ImageBinaryRepository(project_id=model.project_id) + image_folder_path = image_binary_repo.project_folder_path + model.export_path = model_binary_repo.model_folder_path + name = f"{model.project_id}-{model.name}" + + # Configure datamodule for anomalib training + datamodule = Folder( + name=name, + normal_dir=image_folder_path, + val_split_mode=ValSplitMode.SYNTHETIC, + ) + logger.info(f"Training from image folder: {image_folder_path} to model folder: {model.export_path}") + + # Initialize anomalib model and engine + anomalib_model = get_model(model=model.name) + + trackio = TrackioLogger(project=str(model.project_id), name=model.name) + tensorboard = AnomalibTensorBoardLogger(save_dir=global_log_config.tensorboard_log_path, name=name) + engine = Engine( + default_root_dir=model.export_path, + logger=[trackio, tensorboard], + devices=[0], # Only single GPU training is supported for now + max_epochs=10, + callbacks=[GetiInspectProgressCallback(synchronization_parameters)], + accelerator=training_device, + ) + + # Execute training and export + export_format = ExportType.OPENVINO + + # Capture pytorch stdout logs into logger + with redirect_stdout(LoggerStdoutWriter()): # type: ignore[type-var] + engine.fit(model=anomalib_model, datamodule=datamodule) + + # Find and set threshold metric + for callback in engine.trainer.callbacks: # type: ignore[attr-defined] + if threshold := getattr(callback, "normalized_pixel_threshold", None): + logger.debug(f"Found pixel threshold set to: {threshold}") + model.threshold = threshold.item() + break + + if synchronization_parameters.cancel_training_event.is_set(): + return None + + export_path = engine.export( + model=anomalib_model, + export_type=export_format, + export_root=model_binary_repo.model_folder_path, + ) + logger.info(f"Exporting model to {export_path}") + + model.is_ready = True + model.size = TrainingService._compute_export_size(model.export_path) + return model + + @staticmethod + async def _handle_job_cancellation(job_service: JobService, job: Job, model: Model) -> None: + """Mark job as cancelled and remove partially exported artifacts.""" + logger.info("Training job `%s` cancelled by user", job.id) + await job_service.update_job_status( + job_id=job.id, + status=JobStatus.CANCELED, + message="Training cancelled by user", + ) + + model_binary_repo = ModelBinaryRepository(project_id=job.project_id, model_id=model.id) + await model_binary_repo.delete_model_folder() + + @staticmethod + def _compute_export_size(path: str | None) -> int | None: + if path is None: + return None + + try: + if os.path.isfile(path): + return os.path.getsize(path) + if not os.path.isdir(path): + logger.warning(f"Cannot compute export size because `{path}` is not a directory") + return None + except OSError as error: + logger.error(f"Failed to access export path `{path}` while computing size: {error}") + return None + + def iter_file_sizes(): + for root, _, files in os.walk(path, followlinks=False): + for file_name in files: + file_path = os.path.join(root, file_name) + if os.path.islink(file_path): + continue + try: + yield os.path.getsize(file_path) + except OSError: + continue + + return sum(iter_file_sizes()) + + @classmethod + async def _sync_progress_with_db( + cls, + job_service: JobService, + job_id: UUID, + synchronization_parameters: ProgressSyncParams, + ) -> None: + try: + while True: + progress: int = synchronization_parameters.progress + message = synchronization_parameters.message + if not await job_service.is_job_still_running(job_id=job_id): + logger.debug("Job cancelled, stopping progress sync") + synchronization_parameters.set_cancel_training_event() + break + logger.debug(f"Syncing progress with db: {progress}% - {message}") + await job_service.update_job_status( + job_id=job_id, status=JobStatus.RUNNING, progress=progress, message=message + ) + await asyncio.sleep(0.5) + except Exception as e: + logger.exception("Failed to sync progress with db: %s", e) + await job_service.update_job_status(job_id=job_id, status=JobStatus.FAILED, message="Training failed") + raise + + @staticmethod + async def abort_orphan_jobs() -> None: + """ + Abort all running orphan training jobs (that do not belong to any worker). + + This method can be called during application shutdown/setup to ensure that + any orphan in-progress training jobs are marked as failed. + """ + query = {"status": JobStatus.RUNNING, "type": JobType.TRAINING} + running_jobs = await JobService.get_job_list(extra_filters=query) + for job in running_jobs.jobs: + logger.warning(f"Aborting orphan training job with id: {job.id}") + await JobService.update_job_status( + job_id=job.id, + status=JobStatus.FAILED, + message="Job aborted due to application shutdown", + ) diff --git a/application/backend/src/services/video_stream_service.py b/application/backend/src/services/video_stream_service.py new file mode 100644 index 0000000000..c40d07edcc --- /dev/null +++ b/application/backend/src/services/video_stream_service.py @@ -0,0 +1,41 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from loguru import logger + +from entities.images_folder_stream import ImagesFolderStream +from entities.ip_camera_stream import IPCameraStream +from entities.video_file_stream import VideoFileStream +from entities.video_stream import VideoStream +from entities.webcam_stream import WebcamStream +from pydantic_models import Source, SourceType + + +class VideoStreamService: + @staticmethod + def get_video_stream(input_config: Source) -> VideoStream | None: + video_stream: VideoStream | None + # TODO handle exceptions: if stream cannot be initialized, fallback to disconnected state + match input_config.source_type: + case SourceType.DISCONNECTED: + video_stream = None + case SourceType.WEBCAM: + video_stream = WebcamStream(device_id=input_config.device_id) + case SourceType.IP_CAMERA: + video_stream = IPCameraStream(config=input_config) + case SourceType.VIDEO_FILE: + video_stream = VideoFileStream(input_config.video_path) + case SourceType.IMAGES_FOLDER: + video_stream = ImagesFolderStream( + folder_path=input_config.images_folder_path, + ignore_existing_images=input_config.ignore_existing_images, + ) + case _: + raise ValueError(f"Unrecognized source type: {input_config.source_type}") + + if video_stream is not None: + logger.info(f"Initialized video stream for source type: {input_config.source_type}") + else: + logger.info("No video stream initialized") + + return video_stream diff --git a/application/backend/src/settings.py b/application/backend/src/settings.py new file mode 100644 index 0000000000..f1671de481 --- /dev/null +++ b/application/backend/src/settings.py @@ -0,0 +1,59 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +"""Application configuration management""" + +from functools import lru_cache +from pathlib import Path +from typing import Literal + +from pydantic import Field +from pydantic_settings import BaseSettings, SettingsConfigDict + + +class Settings(BaseSettings): + """Application settings with environment variable support""" + + model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", case_sensitive=False, extra="ignore") + + # Application + app_name: str = "Geti Inspect" + version: str = "0.1.0" + summary: str = "Geti Inspect server" + description: str = "Geti Inspect allows to fine-tune anomaly models at the edge." + openapi_url: str = "/rest_api/openapi.json" + debug: bool = Field(default=False, alias="DEBUG") + environment: Literal["dev", "prod"] = "dev" + data_dir: Path = Field(default=Path("data"), alias="DATA_DIR") + log_dir: Path = Field(default=Path("logs"), alias="LOG_DIR") + + # Server + host: str = Field(default="0.0.0.0", alias="HOST") # noqa: S104 + port: int = Field(default=8000, alias="PORT") + + # Database + database_file: str = Field(default="geti_inspect.db", alias="DATABASE_FILE", description="Database filename") + db_echo: bool = Field(default=False, alias="DB_ECHO") + + # Alembic + alembic_config_path: str = "src/alembic.ini" + alembic_script_location: str = "src/alembic" + + # Proxy settings + no_proxy: str = Field(default="localhost,127.0.0.1,::1", alias="no_proxy") + + @property + def database_url(self) -> str: + """Get database URL""" + return f"sqlite+aiosqlite:///./{self.data_dir / self.database_file}?journal_mode=WAL" + + @property + def sync_database_url(self) -> str: + """Get synchronous database URL""" + return f"sqlite:///{self.data_dir / self.database_file}" + + +@lru_cache +def get_settings() -> Settings: + """Get cached application settings""" + return Settings() diff --git a/application/backend/src/utils/__init__.py b/application/backend/src/utils/__init__.py new file mode 100644 index 0000000000..ac5fc504aa --- /dev/null +++ b/application/backend/src/utils/__init__.py @@ -0,0 +1,8 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from utils.queue import flush_queue +from utils.singleton import Singleton +from utils.visualization import Visualizer + +__all__ = ["Singleton", "Visualizer", "flush_queue"] diff --git a/application/backend/src/utils/asyncio_helpers.py b/application/backend/src/utils/asyncio_helpers.py new file mode 100644 index 0000000000..9d52cf728a --- /dev/null +++ b/application/backend/src/utils/asyncio_helpers.py @@ -0,0 +1,31 @@ +import asyncio +import concurrent.futures +from collections.abc import Callable +from typing import Any + + +async def run_in_process_pool(func: Callable, *args, **kwargs) -> Any: + """ + Run a synchronous function in a separate process using ProcessPoolExecutor. + This is useful for CPU-bound tasks that would block the event loop if run directly. + + This function safely handles the asyncio loop by using a different approach that + doesn't rely on get_running_loop() which can fail in certain contexts. + + Args: + func (callable): The synchronous function to be executed in a separate process. + *args: Positional arguments to pass to the function. + **kwargs: Keyword arguments to pass to the function. + + Returns: + The result of the function execution. + """ + # Try to get the running loop first, fall back to event loop if needed + try: + loop = asyncio.get_running_loop() + except RuntimeError: + # No running loop, get the event loop + loop = asyncio.get_event_loop() + + with concurrent.futures.ProcessPoolExecutor() as pool: + return await loop.run_in_executor(pool, func, *args, **kwargs) diff --git a/application/backend/src/utils/callbacks.py b/application/backend/src/utils/callbacks.py new file mode 100644 index 0000000000..d241066d18 --- /dev/null +++ b/application/backend/src/utils/callbacks.py @@ -0,0 +1,226 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +"""Lightning callback for sending progress to the frontend via the Plugin API.""" + +from __future__ import annotations + +import threading +from typing import TYPE_CHECKING, Any + +from lightning.pytorch.callbacks import Callback +from loguru import logger + +if TYPE_CHECKING: + from lightning.pytorch import LightningModule, Trainer + + +class ProgressSyncParams: + def __init__(self) -> None: + self._progress = 0 + self._message: str = "Initializing" + self._lock = threading.Lock() + self.cancel_training_event = threading.Event() + + @property + def message(self) -> str: + with self._lock: + return self._message + + @message.setter + def message(self, stage: str) -> None: + with self._lock: + self._message = f"Stage: {stage}" + logger.debug("Message updated: %s", self._message) + + @property + def progress(self) -> int: + with self._lock: + return self._progress + + @progress.setter + def progress(self, progress: int) -> None: + with self._lock: + self._progress = progress + logger.debug("Progress updated: %s", progress) + + def set_cancel_training_event(self) -> None: + with self._lock: + self.cancel_training_event.set() + logger.debug("Set cancel training event") + + +class GetiInspectProgressCallback(Callback): + """Callback for displaying training/validation/testing progress in the Geti Inspect UI. + + This callback sends progress events through a multiprocessing queue that the + main process polls and broadcasts via WebSocket to connected frontend clients. + + Args: + synchronization_parameters: Parameters for synchronization between the main process and the training process + + Example: + trainer = Trainer(callbacks=[GetiInspectProgressCallback(synchronization_parameters=ProgressSyncParams())]) + """ + + def __init__(self, synchronization_parameters: ProgressSyncParams) -> None: + """Initialize the callback with synchronization parameters. + Args: + synchronization_parameters: Parameters for synchronization between the main process and the training process + """ + self.synchronization_parameters = synchronization_parameters + + def _check_cancel_training(self, trainer: Trainer) -> None: + """Check if training should be canceled.""" + if self.synchronization_parameters.cancel_training_event.is_set(): + trainer.should_stop = True + + def _send_progress(self, progress: float, message: str) -> None: + """Send progress update to frontend via event queue. + Puts a generic event message into the multiprocessing queue which will + be picked up by the main process and broadcast via WebSocket. + Args: + progress: Progress value between 0.0 and 1.0 + message: The current training message + """ + # Convert progress to percentage (0-100) + progress_percent = int(progress * 100) + + try: + logger.debug("Sent progress: %s - %d%%", message, progress_percent) + self.synchronization_parameters.progress = progress_percent + self.synchronization_parameters.message = message + except Exception as e: + logger.warning("Failed to send progress to event queue: %s", e) + + # Training callbacks + def on_train_start(self, trainer: Trainer, pl_module: LightningModule) -> None: + """Called when training starts.""" + del pl_module # unused + if trainer.state.stage is not None: + self._send_progress(0, trainer.state.stage.value) + else: + self._send_progress(0, "Training started") + self._check_cancel_training(trainer) + + def on_train_batch_start(self, trainer: Trainer, pl_module: LightningModule, batch: Any, batch_idx: int) -> None: + """Called when a training batch starts.""" + del pl_module, batch, batch_idx # unused + self._check_cancel_training(trainer) + + def on_train_epoch_end(self, trainer: Trainer, pl_module: LightningModule) -> None: + """Called when a training epoch ends.""" + del pl_module # unused + # If max_epochs is not available, set progress to 0.5 + if trainer.state.stage is not None: + progress = ( + (trainer.current_epoch + 1) / trainer.max_epochs + if (trainer.max_epochs is not None and trainer.max_epochs > 0) + else 0.5 + ) + self._send_progress(progress, trainer.state.stage.value) + self._check_cancel_training(trainer) + + def on_train_end(self, trainer: Trainer, pl_module: LightningModule) -> None: + """Called when training ends.""" + del pl_module # unused + if trainer.state.stage is not None: + self._send_progress(1.0, trainer.state.stage.value) + self._check_cancel_training(trainer) + + # Validation callbacks + def on_validation_start(self, trainer: Trainer, pl_module: LightningModule) -> None: + """Called when validation starts.""" + del pl_module # unused + self._check_cancel_training(trainer) + + def on_validation_batch_start( + self, trainer: Trainer, pl_module: LightningModule, batch: Any, batch_idx: int, dataloader_idx: int = 0 + ) -> None: + """Called when a validation batch starts.""" + del pl_module, batch, batch_idx, dataloader_idx # unused + self._check_cancel_training(trainer) + + def on_validation_epoch_end(self, trainer: Trainer, pl_module: LightningModule) -> None: + """Called when a validation epoch ends.""" + del pl_module # unused + self._check_cancel_training(trainer) + + def on_validation_end(self, trainer: Trainer, pl_module: LightningModule) -> None: + """Called when validation ends.""" + del pl_module # unused + self._check_cancel_training(trainer) + + # Test callbacks + def on_test_start(self, trainer: Trainer, pl_module: LightningModule) -> None: + """Called when testing starts.""" + del pl_module # unused + if trainer.state.stage is not None: + self._send_progress(0, trainer.state.stage.value) + else: + self._send_progress(0, "Testing started") + self._check_cancel_training(trainer) + + def on_test_batch_start( + self, trainer: Trainer, pl_module: LightningModule, batch: Any, batch_idx: int, dataloader_idx: int = 0 + ) -> None: + """Called when a test batch starts.""" + del pl_module, batch, batch_idx, dataloader_idx # unused + self._check_cancel_training(trainer) + + def on_test_epoch_end(self, trainer: Trainer, pl_module: LightningModule) -> None: + """Called when a test epoch ends.""" + del pl_module # unused + # If max_epochs is not available, set progress to 0.5 + if trainer.state.stage is not None: + progress = ( + (trainer.current_epoch + 1) / trainer.max_epochs + if (trainer.max_epochs is not None and trainer.max_epochs > 0) + else 0.5 + ) + self._send_progress(progress, trainer.state.stage.value) + self._check_cancel_training(trainer) + + def on_test_end(self, trainer: Trainer, pl_module: LightningModule) -> None: + """Called when testing ends.""" + del pl_module # unused + if trainer.state.stage is not None: + self._send_progress(1.0, trainer.state.stage.value) + self._check_cancel_training(trainer) + + # Predict callbacks + def on_predict_start(self, trainer: Trainer, pl_module: LightningModule) -> None: + """Called when prediction starts.""" + del pl_module # unused + if trainer.state.stage is not None: + self._send_progress(0, trainer.state.stage.value) + else: + self._send_progress(0, "Prediction started") + self._check_cancel_training(trainer) + + def on_predict_batch_start( + self, trainer: Trainer, pl_module: LightningModule, batch: Any, batch_idx: int, dataloader_idx: int = 0 + ) -> None: + """Called when a prediction batch starts.""" + del pl_module, batch, batch_idx, dataloader_idx # unused + self._check_cancel_training(trainer) + + def on_predict_epoch_end(self, trainer: Trainer, pl_module: LightningModule) -> None: + """Called when a prediction epoch ends.""" + del pl_module # unused + # If max_epochs is not available, set progress to 0.5 + if trainer.state.stage is not None: + progress = ( + (trainer.current_epoch + 1) / trainer.max_epochs + if (trainer.max_epochs is not None and trainer.max_epochs > 0) + else 0.5 + ) + self._send_progress(progress, trainer.state.stage.value) + self._check_cancel_training(trainer) + + def on_predict_end(self, trainer: Trainer, pl_module: LightningModule) -> None: + """Called when prediction ends.""" + del pl_module # unused + if trainer.state.stage is not None: + self._send_progress(1.0, trainer.state.stage.value) + self._check_cancel_training(trainer) diff --git a/application/backend/src/utils/devices.py b/application/backend/src/utils/devices.py new file mode 100644 index 0000000000..578dc36832 --- /dev/null +++ b/application/backend/src/utils/devices.py @@ -0,0 +1,69 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from functools import lru_cache + +import openvino as ov +from lightning.pytorch.accelerators import AcceleratorRegistry + + +class Devices: + """Utility class for device-related operations.""" + + @staticmethod + @lru_cache + def training_devices() -> list[str]: + """Get list of supported devices for training.""" + devices = [] + for device_name, device_info in AcceleratorRegistry.items(): + accelerator = device_info["accelerator"] + if accelerator.is_available(): + devices.append(device_name.casefold()) + return devices + + @staticmethod + @lru_cache + def inference_devices() -> list[str]: + """Get list of supported devices for inference.""" + ov_core = ov.Core() + return [device.casefold() for device in ov_core.available_devices] + + @classmethod + @lru_cache + def _is_device_supported(cls, device_name: str, for_training: bool = False) -> bool: + """Check if a device is supported for inference or training. + + Args: + device_name (str): Name of the device to check. + for_training (bool): If True, check for training devices; otherwise, check for inference devices. + + Returns: + bool: True if the device is supported, False otherwise. + """ + device_name = device_name.casefold() + if for_training: + return device_name in cls.training_devices() + return device_name in cls.inference_devices() + + @classmethod + def is_device_supported_for_inference(cls, device_name: str) -> bool: + """Check if a device is supported for inference. + + Args: + device_name (str): Name of the device to check. + + Returns: + bool: True if the device is supported for inference, False otherwise. + """ + return cls._is_device_supported(device_name, for_training=False) + + @classmethod + def is_device_supported_for_training(cls, device_name: str) -> bool: + """Check if a device is supported for training. + + Args: + device_name (str): Name of the device to check. + + Returns: + bool: True if the device is supported for training, False otherwise. + """ + return cls._is_device_supported(device_name, for_training=True) diff --git a/application/backend/src/utils/experiment_loggers/__init__.py b/application/backend/src/utils/experiment_loggers/__init__.py new file mode 100644 index 0000000000..25f4fdfa51 --- /dev/null +++ b/application/backend/src/utils/experiment_loggers/__init__.py @@ -0,0 +1,6 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from .trackio import TrackioLogger + +__all__ = ["TrackioLogger"] diff --git a/application/backend/src/utils/experiment_loggers/trackio.py b/application/backend/src/utils/experiment_loggers/trackio.py new file mode 100644 index 0000000000..d797209fac --- /dev/null +++ b/application/backend/src/utils/experiment_loggers/trackio.py @@ -0,0 +1,52 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from typing import Any + +import trackio +from lightning.pytorch.loggers import Logger as LightningLogger +from loguru import logger + + +class TrackioLogger(LightningLogger): + def __init__( + self, + project: str, + name: str | None = None, + ): + super().__init__() + self._project = project + self._name = name + + self._logger = logger.bind( + project=self._project, + name=self._name, + ) + # Initialize run + self.run = trackio.init( + project=self._project, + name=self._name, + ) + + @property + def name(self) -> str: + return self._name or self._project + + @property + def version(self) -> str: + # You might use some attribute of trackio.Run if exists + return f"run_{id(self.run)}" + + def log_hyperparams(self, params: dict[str, Any] | Any) -> None: + # Pass hyperparams via config if possible, or log as metrics + params_dict = dict(params) if not isinstance(params, dict) else params + # One option: include in config during init; if already initialized, + # log them as metrics at step=0 or custom logic + trackio.log({f"hyperparams/{k}": v for k, v in params_dict.items()}, step=0) + + def log_metrics(self, metrics: dict[str, float], step: int | None = None) -> None: + trackio.log(metrics, step=step) + + def finalize(self, _status: str) -> None: + # PyTorch Lightning calls logger.finalize("success" / "failed" etc.) + trackio.finish() diff --git a/application/backend/src/utils/queue.py b/application/backend/src/utils/queue.py new file mode 100644 index 0000000000..47cb335bcc --- /dev/null +++ b/application/backend/src/utils/queue.py @@ -0,0 +1,37 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import multiprocessing as mp +import queue + +from loguru import logger + + +def flush_queue(queue_obj: mp.Queue) -> None: + """Safely flush all items from a multiprocessing queue""" + flushed_count = 0 + + while True: + try: + queue_obj.get_nowait() + flushed_count += 1 + except queue.Empty: + # Queue is empty, we're done + break + except (OSError, ValueError, EOFError, BrokenPipeError) as e: + # Queue is closed/invalid or connection broken + logger.debug(f"Queue flush stopped due to: {e}") + break + except Exception as e: + logger.error(f"Unexpected error during queue flush: {e}") + break + + if flushed_count > 0: + logger.info(f"Flushed {flushed_count} items from queue") + + # https://docs.python.org/3/library/multiprocessing.html#all-start-methods + # section: Joining processes that use queues + # After flushing, call cancel_join_thread() to prevent the parent process from blocking + # indefinitely when joining child processes that used this queue. This avoids potential + # deadlocks if the queue's background thread adds more items during the flush. + queue_obj.cancel_join_thread() diff --git a/application/backend/src/utils/singleton.py b/application/backend/src/utils/singleton.py new file mode 100644 index 0000000000..bd9ed7a365 --- /dev/null +++ b/application/backend/src/utils/singleton.py @@ -0,0 +1,16 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from threading import Lock + + +class Singleton(type): + _instance = None + _lock = Lock() + + def __call__(cls, *args, **kwargs): + if cls._instance is None: # double-checked locking + with cls._lock: + if cls._instance is None: + cls._instance = super().__call__(*args, **kwargs) + return cls._instance diff --git a/application/backend/src/utils/visualization.py b/application/backend/src/utils/visualization.py new file mode 100644 index 0000000000..e4a99ad9fc --- /dev/null +++ b/application/backend/src/utils/visualization.py @@ -0,0 +1,125 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import base64 +from collections.abc import Callable + +import cv2 +import numpy as np +from loguru import logger + +from pydantic_models import PredictionResponse + + +class Visualizer: + @classmethod + def overlay_predictions( + cls, + original_image: np.ndarray, + prediction: PredictionResponse, + *overlays: Callable[..., np.ndarray], + **kwargs: object, + ) -> np.ndarray: + """Create a visualization by applying a sequence of overlay functions. + + Each overlay is a callable that accepts (image, prediction) and returns a new image. + If no overlays are provided, the default is anomaly heatmap followed by label. + """ + try: + visualization = original_image.copy() + + # Default overlays if none provided + if not overlays: + overlays = (cls.overlay_anomaly_heatmap, cls.draw_prediction_label) + + for overlay in overlays: + try: + visualization = overlay(visualization, prediction, **kwargs) + except Exception as e: # continue other overlays even if one fails + logger.debug(f"Overlay step failed: {e}") + + return visualization + except Exception as e: + logger.debug(f"Failed to create visualization: {e}") + return original_image + + @staticmethod + def overlay_anomaly_heatmap( + base_image: np.ndarray, + prediction: PredictionResponse, + threshold_value: int = 128, + alpha: float = 0.25, + ) -> np.ndarray: + """Overlay the anomaly heatmap onto the image. + + Steps: + - Decode base64 anomaly map to an image + - Convert to grayscale if needed, ensure uint8 + - Apply JET colormap and threshold mask + - Blend onto the base image using alpha + """ + try: + anomaly_map_base64 = prediction.anomaly_map + result = base_image.copy() + try: + anomaly_png_bytes = base64.b64decode(anomaly_map_base64) + anomaly_np = np.frombuffer(anomaly_png_bytes, dtype=np.uint8) + anomaly_img = cv2.imdecode(anomaly_np, cv2.IMREAD_UNCHANGED) + except Exception: + return result + + if anomaly_img is None: + return result + + try: + if anomaly_img.ndim == 3 and anomaly_img.shape[2] > 1: + anomaly_gray = cv2.cvtColor(anomaly_img, cv2.COLOR_BGR2GRAY) + else: + anomaly_gray = anomaly_img + + if anomaly_gray.dtype != np.uint8: + anomaly_gray = anomaly_gray.astype(np.uint8) + + heatmap = cv2.applyColorMap(anomaly_gray, cv2.COLORMAP_JET) + heatmap_resized = cv2.resize(heatmap, (result.shape[1], result.shape[0])) + + mask_gray = cv2.resize(anomaly_gray, (result.shape[1], result.shape[0])) + mask_bool = mask_gray >= threshold_value + + masked_heatmap = np.zeros_like(heatmap_resized) + try: + masked_heatmap[mask_bool] = heatmap_resized[mask_bool] + except Exception as e: + logger.debug(f"Failed to apply heatmap mask: {e}") + + result = cv2.addWeighted(result, 1.0, masked_heatmap, alpha, 0) + except Exception as e: + logger.debug(f"Failed to overlay heatmap: {e}") + return result + except Exception as e: + logger.debug(f"Failed in overlay_anomaly_heatmap: {e}") + return base_image + + @staticmethod + def draw_prediction_label( + base_image: np.ndarray, + prediction: PredictionResponse, + *, + position: tuple[int, int] = (10, 20), + font_scale: float = 2.0, + thickness: int = 3, + text_color: tuple[int, int, int] = (0, 255, 0), + background_color: tuple[int, int, int] = (0, 0, 0), + ) -> np.ndarray: + """Draw the prediction label with a background rectangle for readability.""" + try: + label_text = f"{prediction.label.value} ({prediction.score:.3f})" + result = base_image.copy() + font = cv2.FONT_HERSHEY_SIMPLEX + (text_w, text_h), _ = cv2.getTextSize(label_text, font, font_scale, thickness) + x, y = position[0], position[1] + text_h + cv2.rectangle(result, (x - 8, y - text_h - 8), (x - 8 + text_w + 16, y + 8), background_color, -1) + cv2.putText(result, label_text, (x, y), font, font_scale, text_color, thickness, cv2.LINE_AA) + return result + except Exception as e: + logger.debug(f"Failed to draw label: {e}") + return base_image diff --git a/application/backend/src/webrtc/__init__.py b/application/backend/src/webrtc/__init__.py new file mode 100644 index 0000000000..4057dc0163 --- /dev/null +++ b/application/backend/src/webrtc/__init__.py @@ -0,0 +1,2 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 diff --git a/application/backend/src/webrtc/manager.py b/application/backend/src/webrtc/manager.py new file mode 100644 index 0000000000..e0e514779b --- /dev/null +++ b/application/backend/src/webrtc/manager.py @@ -0,0 +1,92 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import asyncio +import queue +from typing import Any + +from aiortc import RTCPeerConnection, RTCSessionDescription +from aiortc.rtcconfiguration import RTCConfiguration, RTCIceServer +from loguru import logger + +from pydantic_models.webrtc import Answer, InputData, Offer +from webrtc.stream import InferenceVideoStreamTrack + + +class WebRTCManager: + """Manager for handling WebRTC connections.""" + + def __init__(self, stream_queue: queue.Queue) -> None: + self._peer_connections: dict[str, RTCPeerConnection] = {} + self._input_data: dict[str, Any] = {} + self._stream_queue = stream_queue + + async def handle_offer(self, offer: Offer) -> Answer: + """Create an SDP offer for a new WebRTC connection.""" + try: + # Configure RTCPeerConnection with proper ICE servers + pc = RTCPeerConnection(RTCConfiguration(iceServers=[RTCIceServer(urls=["stun:stun.l.google.com:19302"])])) + self._peer_connections[offer.webrtc_id] = pc + + # Add video track + track = InferenceVideoStreamTrack(self._stream_queue) + pc.addTrack(track) + + @pc.on("connectionstatechange") + async def connection_state_change() -> None: + if pc.connectionState in {"failed", "closed"}: + await self.cleanup_connection(offer.webrtc_id) + + # Validate offer before processing + if not offer.sdp or not offer.type: + raise ValueError("Invalid offer: missing SDP or type") + + # Set remote description from client's offer + await pc.setRemoteDescription(RTCSessionDescription(sdp=offer.sdp, type=offer.type)) + + # Create answer with proper configuration + answer = await pc.createAnswer() + + # Set local description with error handling + try: + await pc.setLocalDescription(answer) + except Exception as e: + logger.error(f"Failed to set local description: {e}") + # Try with a simpler answer configuration + answer = await pc.createAnswer() + await pc.setLocalDescription(answer) + + # Ensure local description is set + if pc.localDescription is None: + raise RuntimeError("Failed to create local description") + + return Answer(sdp=pc.localDescription.sdp, type=pc.localDescription.type) + except Exception as e: + logger.error(f"Error in handle_offer: {e}", exc_info=True) + # Clean up on error + if offer.webrtc_id in self._peer_connections: + await self.cleanup_connection(offer.webrtc_id) + raise + + def set_input(self, data: InputData) -> None: + """Set input data for specific WebRTC connection""" + self._input_data[data.webrtc_id] = { + "conf_threshold": data.conf_threshold, + "updated_at": asyncio.get_event_loop().time(), + } + + async def cleanup_connection(self, webrtc_id: str) -> None: + """Clean up a specific WebRTC connection by its ID.""" + if webrtc_id in self._peer_connections: + logger.debug(f"Cleaning up connection: {webrtc_id}") + pc = self._peer_connections.pop(webrtc_id) + await pc.close() + logger.debug(f"Connection {webrtc_id} successfully closed.") + self._input_data.pop(webrtc_id, None) + + async def cleanup(self) -> None: + """Clean up all connections""" + for pc in list(self._peer_connections.values()): + await pc.close() + self._peer_connections.clear() + self._input_data.clear() diff --git a/application/backend/src/webrtc/stream.py b/application/backend/src/webrtc/stream.py new file mode 100644 index 0000000000..6d772e005a --- /dev/null +++ b/application/backend/src/webrtc/stream.py @@ -0,0 +1,81 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import asyncio +import queue + +import numpy as np +from aiortc import VideoStreamTrack +from av import VideoFrame +from loguru import logger + +FALLBACK_FRAME = np.full((64, 64, 3), 16, dtype=np.uint8) + + +class InferenceVideoStreamTrack(VideoStreamTrack): + """A video stream track that provides frames with inference results over WebRTC.""" + + def __init__(self, stream_queue: queue.Queue[np.ndarray]): + super().__init__() + self._stream_queue = stream_queue + self._last_frame: np.ndarray | None = None + + async def recv(self) -> VideoFrame: + """ + Asynchronously receive the next video frame from the internal queue. + + This coroutine attempts to obtain a frame from ``self._stream_queue`` with a + 500ms timeout. If a new frame is received, it is cached in ``self._last_frame``. + If the queue is empty and no cached frame exists, the method uses the + ``FALLBACK_FRAME``, a small, 64 x 64, dark gray numpy array + representing a video frame. + + The received or fallback frame is wrapped in a ``VideoFrame`` object, with + its presentation timestamp (``pts``) and time base attached. + + Behavior: + - Pulls frames from ``_stream_queue`` using ``asyncio.to_thread`` (timeout: 500ms). + - On timeout, returns last cached frame if available. + - If no cached frame exists, returns ``FALLBACK_FRAME``. + - Ensures robust streaming when new frames are intermittently missing. + + Returns: + aiortc.VideoFrame: + Video frame object containing image data, presentation timestamp (``pts``), + and time base. + + Raises: + Exception: + Logs and propagates any errors during retrieval or conversion. + + Notes: + - Uses ``asyncio.to_thread`` to prevent blocking the event loop + when calling the synchronous ``queue.Queue.get`` method. + - Ensures resilience of streaming by falling back to cached or + dummy frames in case of delayed or missing input. + + """ + pts, time_base = await self.next_timestamp() + + try: + try: + logger.trace("Getting the frame from the stream_queue...") + frame_data = await asyncio.to_thread(self._stream_queue.get, True, 0.5) # wait for 500ms + self._last_frame = frame_data # cache the successful frame + except queue.Empty: + logger.trace("Empty queue. Using the last frame...") + if self._last_frame is None: + frame_data = FALLBACK_FRAME + else: + frame_data = self._last_frame + + logger.trace("Received the frame from the stream_queue.") + + # Convert numpy array to VideoFrame + frame = VideoFrame.from_ndarray(frame_data, format="bgr24") + frame.pts = pts + frame.time_base = time_base + return frame + except Exception as e: + logger.error(f"Error in recv: {e}") + raise diff --git a/application/backend/src/workers/__init__.py b/application/backend/src/workers/__init__.py new file mode 100644 index 0000000000..f2b6bc7b54 --- /dev/null +++ b/application/backend/src/workers/__init__.py @@ -0,0 +1,14 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from .dispatching import DispatchingWorker +from .inference import InferenceWorker +from .stream_loading import StreamLoader +from .training import TrainingWorker + +__all__ = [ + "DispatchingWorker", + "InferenceWorker", + "StreamLoader", + "TrainingWorker", +] diff --git a/application/backend/src/workers/base.py b/application/backend/src/workers/base.py new file mode 100644 index 0000000000..8a82611440 --- /dev/null +++ b/application/backend/src/workers/base.py @@ -0,0 +1,188 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from __future__ import annotations + +import abc +import asyncio +import multiprocessing as mp +import os +import signal +import threading +from abc import ABC, abstractmethod +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from collections.abc import Iterable + from multiprocessing.queues import Queue + from multiprocessing.synchronize import Event + +import loguru +from loguru import logger + + +def log_threads(log_level="DEBUG") -> None: # noqa: ANN001 + """Log all the alive threads associated with the current process""" + pid = os.getpid() + alive_threads = [thread for thread in threading.enumerate() if thread.is_alive()] + thread_list_msg = ( + f"Alive threads for process with pid '{pid}': " + f"{', '.join([str((thread.name, thread.ident)) for thread in alive_threads])}" + ) + logger.log(log_level, thread_list_msg) + + +class StoppableMixin: + """Mixin providing stop-aware functionality using external stop event.""" + + def should_stop(self) -> bool: + """Check if a stop has been requested.""" + if not hasattr(self, "_stop_event"): + raise AttributeError("StoppableMixin requires a '_stop_event' to be set.") + # Stop if parent process died + parent_process = mp.parent_process() + parent_died = parent_process is not None and not parent_process.is_alive() + return self._stop_event.is_set() or parent_died # type: ignore + + def stop_aware_sleep(self, seconds: float) -> bool: + """ + Sleep for the specified time, but wake up immediately if stop is requested. + + Args: + seconds: Maximum time to sleep in seconds + + Returns: + True if woke up due to stop request, False if timeout elapsed + """ + if not hasattr(self, "_stop_event"): + raise AttributeError("StoppableMixin requires _stop_event to be set") + return self._stop_event.wait(seconds) # type: ignore + + +class BaseProcessWorker(mp.Process, StoppableMixin, ABC): + """ + Reusable worker with a clean lifecycle: setup() -> run_loop() [until stop_event] -> teardown() + Subclasses only implement what's specific to their job. + """ + + # Override in subclasses for a nicer auto-name: + ROLE: str = "Worker" + + def __init__( + self, + *, + stop_event: Event, + queues_to_cancel: Iterable[Queue] | None = None, + logger_: loguru.Logger | None = None, + ) -> None: + super().__init__() + self._stop_event = stop_event + self._parent_pid = os.getpid() + self._queues_to_cancel = list(queues_to_cancel or []) + + # Platforms that use "spawn" for multiprocessing (e.g. Windows) cause logging concurrency issues. + # Therefore, we need to copy the logger with enqueue=True in child processes. + # https://loguru.readthedocs.io/en/stable/resources/recipes.html#compatibility-with-multiprocessing-using-enqueue-argument + global logger # noqa: PLW0603 + logger = logger_ or logger + + # Hooks to be implemented by subclasses + + def setup(self) -> None: + """Allocate resources and initialize settings. Called once in the child process.""" + # Logging needs to be re-setup in child processes because settings are non-pickable. + # Only required when multiprocessing uses "spawn" mode (Windows/MacOS) + from core.logging import setup_logging # noqa: PLC0415 + + setup_logging() + + @abstractmethod + async def run_loop(self) -> None: + """ + Main loop. Return only when asked to stop or on unrecoverable error. + self.should_stop() should be used the loop condition. + """ + ... + + def teardown(self) -> None: + """Release resources (optional).""" + + # Internal + final run orchestration + + @staticmethod + def _install_signal_policy() -> None: + """ + Ignore shutdown signals (SIGINT) in child processes. + + This function prevents child processes from handling shutdown signals directly, + ensuring that cleanup is coordinated through the parent process via the stop_event + mechanism. + """ + signal.signal(signal.SIGINT, signal.SIG_IGN) + + def _auto_name(self) -> str: + """Generate a name for the process based on its role and PIDs.""" + return "-".join([self.ROLE, str(self._parent_pid), str(os.getpid())]) + + def _cancel_queue_join_threads(self) -> None: + for q in self._queues_to_cancel: + try: + # https://docs.python.org/3/library/multiprocessing.html#all-start-methods + # section: Joining processes that use queues + # Call cancel_join_thread() to prevent the parent process from blocking + # indefinitely when joining child processes that used this queue. This avoids potential + # deadlocks if the queue's background thread adds more items during the flush. + q.cancel_join_thread() + logger.debug(f"Cancelled join thread for queue {getattr(q, 'name', q)!r}") + except Exception as e: + logger.warning(f"Failed cancelling queue join thread: {e}") + + def run(self) -> None: # final orchestration; should not be overridden in subclasses + self.setup() + with logger.contextualize(worker=self.__class__.__name__): + self._install_signal_policy() + self.name = self._auto_name() + logger.info(f"Starting {self.name}...") + try: + asyncio.run(self.run_loop()) + finally: + try: + self.teardown() + finally: + # always try to cancel any declared queues + self._cancel_queue_join_threads() + log_threads() + logger.info(f"Stopped {self.name}.") + + +class BaseThreadWorker(threading.Thread, StoppableMixin, abc.ABC): + ROLE: str = "Worker" + + def __init__(self, *, stop_event: Event, daemon: bool = False): + super().__init__(daemon=daemon) + self._stop_event = stop_event + self.name = f"{self.ROLE}-{os.getpid()}-thread" + + # hooks + def setup(self) -> None: + pass + + @abstractmethod + async def run_loop(self) -> None: ... + + def teardown(self) -> None: + pass + + # final run orchestration + def run(self) -> None: # final orchestrator + with logger.contextualize(worker=self.__class__.__name__): + logger.info(f"Starting {self.name}") + try: + self.setup() + asyncio.run(self.run_loop()) + except Exception as e: + logger.error(f"Unhandled exception in {self.name}: {str(e)}") + finally: + try: + self.teardown() + finally: + logger.info(f"Stopped {self.name}") diff --git a/application/backend/src/workers/dispatching.py b/application/backend/src/workers/dispatching.py new file mode 100644 index 0000000000..4b9c6c1036 --- /dev/null +++ b/application/backend/src/workers/dispatching.py @@ -0,0 +1,113 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +import copy +import multiprocessing as mp +import queue +from multiprocessing.synchronize import Condition as ConditionClass +from multiprocessing.synchronize import Event as EventClass + +from loguru import logger + +from entities.stream_data import StreamData +from pydantic_models import Sink, SinkType +from services import ActivePipelineService, DispatchService +from services.dispatchers import Dispatcher +from workers.base import BaseThreadWorker + + +class DispatchingWorker(BaseThreadWorker): + """ + A thread that pulls predictions from the queue and dispatches them to the configured outputs + and WebRTC visualization stream. + """ + + ROLE = "Dispatching" + + def __init__( + self, + pred_queue: mp.Queue, + rtc_stream_queue: queue.Queue, + stop_event: EventClass, + active_config_changed_condition: ConditionClass, + ) -> None: + super().__init__(stop_event=stop_event) + self._pred_queue = pred_queue + self._rtc_stream_queue = rtc_stream_queue + + self._active_config_changed_condition = active_config_changed_condition + self._active_pipeline_service: ActivePipelineService | None = None + + self._prev_sink_config: Sink | None = None + self._destinations: list[Dispatcher] = [] + + def _reset_sink_if_needed(self, sink_config: Sink) -> None: + if not self._prev_sink_config or sink_config != self._prev_sink_config: + logger.debug(f"Sink config changed from {self._prev_sink_config} to {sink_config}") + self._destinations = DispatchService.get_destinations(output_configs=[sink_config]) + self._prev_sink_config = copy.deepcopy(sink_config) + + @logger.catch() + async def run_loop(self) -> None: + self._active_pipeline_service = await ActivePipelineService.create( + config_changed_condition=self._active_config_changed_condition, start_daemon=True + ) + + while not self.should_stop(): + # Exit if parent process died (if ever run as a process) + parent_process = mp.parent_process() + if parent_process is not None and not parent_process.is_alive(): + break + + # Read from the queue + try: + stream_data: StreamData = self._pred_queue.get(timeout=1) + except queue.Empty: + logger.debug("Nothing to dispatch yet... retrying in 1 second") + await asyncio.sleep(1) + continue + + passthrough_mode = not self._active_pipeline_service.is_running + if passthrough_mode: + logger.debug("Passthrough mode; only dispatching to WebRTC stream") + # Only dispatch to WebRTC stream + try: + self._rtc_stream_queue.put(stream_data.frame_data, block=False) + except queue.Full: + logger.debug("Visualization queue is full; skipping") + continue + + sink_config = self._active_pipeline_service.sink_config + if sink_config.sink_type == SinkType.DISCONNECTED: + logger.trace("No sink available... retrying in 1 second") + await asyncio.sleep(1) + continue + + self._reset_sink_if_needed(sink_config) + + if stream_data.inference_data is None: + logger.error("Missing inference data in stream_data; skipping dispatch") + continue + + inference_data = stream_data.inference_data + if inference_data is None: + logger.error("No inference data available") + continue + + image_with_visualization = inference_data.visualized_prediction + prediction = inference_data.prediction + # Postprocess and dispatch results + async with asyncio.TaskGroup() as task_group: + for destination in self._destinations: + task_group.create_task( + destination.dispatch( + original_image=stream_data.frame_data, + image_with_visualization=image_with_visualization, + predictions=prediction, + ) + ) + # Dispatch to WebRTC stream + try: + self._rtc_stream_queue.put(image_with_visualization, block=False) + except queue.Full: + logger.debug("Visualization queue is full; skipping") diff --git a/application/backend/src/workers/inference.py b/application/backend/src/workers/inference.py new file mode 100644 index 0000000000..a670c9e0c3 --- /dev/null +++ b/application/backend/src/workers/inference.py @@ -0,0 +1,292 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from __future__ import annotations + +import asyncio +import queue as std_queue +from typing import TYPE_CHECKING, Any + +import cv2 +import loguru +from loguru import logger + +if TYPE_CHECKING: + import multiprocessing as mp + from multiprocessing.synchronize import Event as EventClass + from multiprocessing.synchronize import Lock + + import numpy as np + + +from db import get_async_db_session_ctx +from entities.stream_data import InferenceData, StreamData +from repositories import PipelineRepository +from services import ModelService +from services.exceptions import DeviceNotFoundError +from services.metrics_service import MetricsService +from services.model_service import LoadedModel +from utils.visualization import Visualizer +from workers.base import BaseProcessWorker + + +class InferenceWorker(BaseProcessWorker): + """A process that pulls frames from the frame queue, runs inference, and pushes results to the prediction queue.""" + + ROLE = "Inference" + + def __init__( + self, + frame_queue: mp.Queue, + pred_queue: mp.Queue, + stop_event: EventClass, + model_reload_event: EventClass, + shm_name: str, + shm_lock: Lock, + logger_: loguru.Logger | None = None, + ) -> None: + super().__init__(stop_event=stop_event, queues_to_cancel=[pred_queue], logger_=logger_) + self._frame_queue = frame_queue + self._pred_queue = pred_queue + self._model_reload_event = model_reload_event + self._shm_name = shm_name + self._shm_lock = shm_lock + + self._metrics_service: MetricsService | None = None + self._loaded_model: LoadedModel | None = None + self._last_model_obj_id = 0 # track the id of the Model object to install the callback only once + self._cached_models: dict[Any, object] = {} + self._model_check_interval: float = 5.0 # seconds between model refresh checks + self._is_passthrough_mode: bool = False + + def setup(self) -> None: + super().setup() + self._metrics_service = MetricsService(self._shm_name, self._shm_lock) + + async def _get_active_model(self) -> LoadedModel | None: + try: + async with get_async_db_session_ctx() as session: + repo = PipelineRepository(session) + pipeline = await repo.get_active_pipeline() + # Passthrough mode: pipeline is active but not running, so bypass inference + self._is_passthrough_mode = pipeline is None or ( + pipeline.status.is_active and not pipeline.status.is_running + ) + if pipeline is None or pipeline.model is None: + return None + + model = pipeline.model + return LoadedModel(name=model.name, id=model.id, model=model, device=pipeline.inference_device) + except Exception as e: + logger.error(f"Failed to query active pipeline/model: {e}", exc_info=True) + return None + + async def _model_refresh_daemon(self) -> None: + """Background daemon that periodically refreshes the active model reference. + + Runs independently every _model_check_interval seconds to detect + configuration changes without impacting frame processing performance. + """ + while not self.should_stop(): + await asyncio.sleep(self._model_check_interval) + + try: + previous_model_id = self._loaded_model.id if self._loaded_model else None + self._loaded_model = await self._get_active_model() + + # Log model transitions + new_model_id = self._loaded_model.id if self._loaded_model else None + if previous_model_id != new_model_id: + if new_model_id: + logger.info( + f"Model refresh daemon: Active model changed to " + f"'{self._loaded_model.name}' ({new_model_id})" # type: ignore[union-attr] + ) + else: + logger.info("Model refresh daemon: Switched to passthrough mode (no active model)") + logger.debug(f"Model refresh daemon running in {self._model_check_interval}s") + except Exception as e: + logger.error(f"Model refresh daemon error: {e}", exc_info=True) + # Continue running despite errors + + async def _handle_model_reload(self) -> None: + # Handle model reload signal: force reload currently active model + if self._model_reload_event.is_set(): + # The loop handles the case when the active model is switched again while reloading + while self._model_reload_event.is_set(): + self._model_reload_event.clear() + logger.info("Model reload event detected; reloading active model") + self._loaded_model = await self._get_active_model() + + if self._loaded_model is None: + raise RuntimeError("No active model configured.") + # Remove cached model to force reload + try: + self._cached_models.pop(self._loaded_model.id, None) + except Exception as e: + model_id = getattr(self._loaded_model, "id", "unknown") + logger.debug(f"Failed to evict cached model {model_id}: {e}") + # Preload the model for faster first inference + try: + inferencer = await ModelService.load_inference_model( + self._loaded_model.model, device=self._loaded_model.device + ) + self._cached_models[self._loaded_model.id] = inferencer + logger.info( + f"Reloaded inference model '{self._loaded_model.name}' ({self._loaded_model.id}) " + f"on device `{self._loaded_model.device}`", + ) + except DeviceNotFoundError: + # Load model using the default device + logger.warning( + f"Device '{self._loaded_model.device}' not found; " + f"loading model '{self._loaded_model.name}' ({self._loaded_model.id}) on default device" + ) + inferencer = await ModelService.load_inference_model(self._loaded_model.model) + self._cached_models[self._loaded_model.id] = inferencer + except Exception as e: + logger.error(f"Failed to reload model '{self._loaded_model.name}': {e}", exc_info=True) + # Leave cache empty; next predict will attempt to load again + + async def _get_next_frame(self) -> StreamData | None: + """Retrieve the next frame from the queue.""" + try: + return self._frame_queue.get(timeout=1) + except std_queue.Empty: + logger.debug("No frame available yet") + return None + except Exception as e: + logger.error(f"Failed to get frame from queue: {e}") + return None + + async def _handle_passthrough_mode(self, stream_data: StreamData) -> None: + """Handle frame in passthrough mode (no model loaded).""" + logger.debug("No active model configured; frame passthrough mode") + try: + self._pred_queue.put(stream_data, timeout=1) + except std_queue.Full: + logger.debug("Prediction queue is full (passthrough mode); dropping frame") + + async def _encode_frame(self, frame: np.ndarray) -> bytes | None: + """Encode frame to JPEG bytes for inference.""" + try: + success, buf = cv2.imencode(".jpg", frame) + if not success: + logger.warning("Failed to encode frame; skipping") + return None + return buf.tobytes() + except Exception as e: + logger.error(f"Error encoding frame: {e}", exc_info=True) + return None + + async def _run_inference(self, image_bytes: bytes) -> Any | None: + """Run inference on encoded image and record metrics.""" + if self._loaded_model is None: + logger.error("Cannot run inference: no active model configured") + return None + + start_t = MetricsService.record_inference_start() + try: + return await ModelService.predict_image( + self._loaded_model.model, + image_bytes, + self._cached_models, # type: ignore[arg-type] + ) + except Exception as e: + logger.error(f"Inference failed: {e}", exc_info=True) + return None + finally: + try: + if self._metrics_service is not None and self._loaded_model is not None: + self._metrics_service.record_inference_end(self._loaded_model.id, start_t) + except Exception as e: + logger.debug(f"Failed to record inference metric: {e}") + + async def _process_frame_with_model(self, stream_data: StreamData) -> None: + """Process frame with loaded model and attach inference data. + + Raises: + ValueError: If frame data is invalid or encoding fails + RuntimeError: If inference or model operations fail + """ + frame = stream_data.frame_data + if frame is None: + raise ValueError("Received empty frame data") + + # Encode frame + image_bytes = await self._encode_frame(frame) + if image_bytes is None: + raise ValueError("Failed to encode frame to JPEG") + + # Run inference + prediction_response = await self._run_inference(image_bytes) + if prediction_response is None or self._loaded_model is None: + raise RuntimeError("Inference failed or model became unavailable") + + # Build visualization + vis_frame: np.ndarray = Visualizer.overlay_predictions(frame, prediction_response) + + # Package inference data + stream_data.inference_data = InferenceData( + prediction=prediction_response, # type: ignore[arg-type] + visualized_prediction=vis_frame, + model_name=self._loaded_model.name, + ) + + async def _enqueue_result(self, stream_data: StreamData) -> None: + """Enqueue processed result to prediction queue.""" + try: + self._pred_queue.put(stream_data, timeout=1) + except std_queue.Full: + logger.debug("Prediction queue is full; dropping result") + + @logger.catch() + async def run_loop(self) -> None: + """Main processing loop for inference worker.""" + # Initialize model reference on startup + self._loaded_model = await self._get_active_model() + + # Start background daemon for periodic model refresh + refresh_task = asyncio.create_task(self._model_refresh_daemon()) + + try: + while not self.should_stop(): + # Pull next frame + stream_data = await self._get_next_frame() + if stream_data is None: + continue + + # Handle model reload (immediate refresh on events) + try: + await self._handle_model_reload() + except Exception as e: + logger.warning(f"Model reload handling failed: {e}") + await asyncio.sleep(1) + continue + + # Check passthrough mode (no inference) + if self._is_passthrough_mode: + await self._handle_passthrough_mode(stream_data) + continue + + if self._loaded_model is None: + logger.error("Cannot run inference: model is not loaded: retrying in 1 second") + await asyncio.sleep(1) + continue + + # Process frame with model and enqueue result + try: + await self._process_frame_with_model(stream_data) + await self._enqueue_result(stream_data) + except (ValueError, RuntimeError) as e: + logger.warning(f"Frame processing skipped: {e}") + continue + except Exception as e: + logger.error(f"Unexpected error during frame processing: {e}", exc_info=True) + continue + finally: + # Clean shutdown: cancel daemon task + refresh_task.cancel() + try: + await refresh_task + except asyncio.CancelledError: + logger.info("Model refresh daemon stopped") diff --git a/application/backend/src/workers/stream_loading.py b/application/backend/src/workers/stream_loading.py new file mode 100644 index 0000000000..1c11e1a983 --- /dev/null +++ b/application/backend/src/workers/stream_loading.py @@ -0,0 +1,111 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from __future__ import annotations + +import asyncio +import copy +import queue +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + import multiprocessing as mp + from multiprocessing.synchronize import Condition as ConditionClass + from multiprocessing.synchronize import Event as EventClass + +import loguru +from loguru import logger + +from entities.stream_data import StreamData +from entities.video_stream import VideoStream +from pydantic_models import Source, SourceType +from services import ActivePipelineService, VideoStreamService +from workers.base import BaseProcessWorker + + +class StreamLoader(BaseProcessWorker): + """A process that loads frames from the video stream and injects them into the frame queue.""" + + ROLE = "StreamLoader" + + def __init__( + self, + frame_queue: mp.Queue, + stop_event: EventClass, + config_changed_condition: ConditionClass, + logger_: loguru.Logger | None = None, + ) -> None: + super().__init__(stop_event=stop_event, queues_to_cancel=[frame_queue], logger_=logger_) + self._frame_queue = frame_queue + self._config_changed_condition = config_changed_condition + + self._active_pipeline_service: ActivePipelineService | None = None + self._prev_source_config: Source | None = None + self._video_stream: VideoStream | None = None + + def _reset_stream_if_needed(self, source_config: Source) -> None: + if self._prev_source_config is None or source_config != self._prev_source_config: + logger.debug(f"Source configuration changed from {self._prev_source_config} to {source_config}") + if self._video_stream is not None: + self._video_stream.release() + self._video_stream = VideoStreamService.get_video_stream(input_config=source_config) + self._prev_source_config = copy.deepcopy(source_config) + + @logger.catch() + async def run_loop(self) -> None: + self._active_pipeline_service = await ActivePipelineService.create( + config_changed_condition=self._config_changed_condition, start_daemon=True + ) + + while not self.should_stop(): + try: + source_config = self._active_pipeline_service.source_config + + if source_config.source_type == SourceType.DISCONNECTED: + logger.trace("No source available... retrying in 1 second") + await asyncio.sleep(1) + continue + + self._reset_stream_if_needed(source_config) + + if self._video_stream is None: + logger.trace("No video stream available, retrying in 1 second...") + await asyncio.sleep(1) + continue + + # Acquire a frame and enqueue it + try: + stream_data = self._video_stream.get_data() + if stream_data is not None: + _enqueue_frame_with_retry( + self._frame_queue, stream_data, self._video_stream.is_real_time(), self._stop_event + ) + else: + await asyncio.sleep(0.1) + except Exception as e: + logger.error(f"Error acquiring frame. Details: `{str(e)}`") + await asyncio.sleep(1) + continue + except Exception as e: + logger.error(f"Error acquiring frame. Details: `{str(e)}`") + continue + + def teardown(self) -> None: + if self._video_stream is not None: + logger.debug("Releasing video stream...") + self._video_stream.release() + + +def _enqueue_frame_with_retry( + frame_queue: mp.Queue, payload: StreamData, is_real_time: bool, stop_event: EventClass +) -> None: + """Enqueue frame with retry logic for non-real-time streams""" + while not stop_event.is_set(): + try: + frame_queue.put(payload, timeout=1) + break + except queue.Full: + if is_real_time: + frame_queue.get(timeout=0.01) # Discard oldest frame + logger.debug("Frame queue is full, discarded oldest frame for real-time stream") + break + logger.debug("Frame queue is full, retrying...") diff --git a/application/backend/src/workers/training.py b/application/backend/src/workers/training.py new file mode 100644 index 0000000000..193980354f --- /dev/null +++ b/application/backend/src/workers/training.py @@ -0,0 +1,71 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from __future__ import annotations + +import asyncio +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from multiprocessing.synchronize import Event as EventClass + +import loguru +from loguru import logger + +from services.training_service import TrainingService +from workers.base import BaseProcessWorker + +MAX_CONCURRENT_TRAINING = 1 +SCHEDULE_INTERVAL_SEC = 5 + + +class TrainingWorker(BaseProcessWorker): + ROLE = "Training" + + def __init__(self, stop_event: EventClass, logger_: loguru.Logger | None = None): + super().__init__(stop_event=stop_event, logger_=logger_) + + @logger.catch() + async def run_loop(self) -> None: + """Main training loop that polls for jobs and manages concurrent training tasks.""" + training_service = TrainingService() + running_tasks: set[asyncio.Task] = set() + + while not self.should_stop(): + try: + # Clean up completed tasks + running_tasks = {task for task in running_tasks if not task.done()} + + # Start new training if under capacity limit + # Using async tasks allows: + # - Multiple training jobs to run concurrently + # - Event loop to remain responsive for shutdown signals + if len(running_tasks) < MAX_CONCURRENT_TRAINING: + running_tasks.add(asyncio.create_task(training_service.train_pending_job())) + except Exception as e: + logger.error(f"Error occurred in training loop: {e}", exc_info=True) + + # Check for shutdown signals frequently + for _ in range(SCHEDULE_INTERVAL_SEC * 2): + if self.should_stop(): + break + await asyncio.sleep(0.5) + + # Cancel any remaining tasks on shutdown + for task in running_tasks: + task.cancel() + if running_tasks: + try: + await asyncio.gather(*running_tasks, return_exceptions=True) + except Exception as e: + # Log exceptions during cancellation to ensure clean shutdown and aid debugging + logger.error(f"Exception during task cancellation: {e}", exc_info=True) + + def setup(self) -> None: + super().setup() + with logger.contextualize(worker=self.__class__.__name__): + asyncio.run(TrainingService.abort_orphan_jobs()) + + def teardown(self) -> None: + super().teardown() + with logger.contextualize(worker=self.__class__.__name__): + asyncio.run(TrainingService.abort_orphan_jobs()) diff --git a/application/backend/tests/__init__.py b/application/backend/tests/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/application/backend/tests/unit/__init__.py b/application/backend/tests/unit/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/application/backend/tests/unit/conftest.py b/application/backend/tests/unit/conftest.py new file mode 100644 index 0000000000..58d59b1dea --- /dev/null +++ b/application/backend/tests/unit/conftest.py @@ -0,0 +1,162 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import uuid +from io import BytesIO +from unittest.mock import AsyncMock, MagicMock + +import pytest +from fastapi import UploadFile +from PIL import Image +from sqlalchemy.ext.asyncio.session import AsyncSession + +from pydantic_models import ( + Job, + JobList, + JobStatus, + JobType, + Media, + MediaList, + Model, + ModelList, + PredictionLabel, + PredictionResponse, + Project, + ProjectList, +) +from pydantic_models.job import TrainJobPayload + + +@pytest.fixture +def fxt_project(): + """Fixture for a test project.""" + return Project( + id=uuid.uuid4(), + name="Test Project", + ) + + +@pytest.fixture +def fxt_job(fxt_project): + """Fixture for a test job.""" + return Job( + project_id=fxt_project.id, + type=JobType.TRAINING, + payload={"model_name": "padim"}, + message="Test job created", + status=JobStatus.PENDING, + ) + + +@pytest.fixture +def fxt_job_payload(fxt_project): + """Fixture for a test job payload.""" + return TrainJobPayload( + project_id=fxt_project.id, + model_name="padim", + device=None, + ) + + +@pytest.fixture +def fxt_media(fxt_project): + """Fixture for a test media.""" + return Media( + id=uuid.uuid4(), + project_id=fxt_project.id, + filename="test_image.jpg", + size=1024, + is_anomalous=False, + width=800, + height=600, + ) + + +@pytest.fixture +def fxt_model(fxt_project): + """Fixture for a test model.""" + return Model( + id=uuid.uuid4(), + project_id=fxt_project.id, + name="padim", + format="openvino", + is_ready=True, + export_path="/path/to/model", + train_job_id=uuid.uuid4(), + size=0, + ) + + +@pytest.fixture +def fxt_prediction_response(): + """Fixture for a test prediction response.""" + return PredictionResponse( + anomaly_map="base64_encoded_image", + label=PredictionLabel.NORMAL, + score=0.1, + ) + + +@pytest.fixture +def fxt_upload_file(): + """Fixture for a test upload file.""" + file_content = b"fake image content" + upload_file = MagicMock(spec=UploadFile) + upload_file.filename = "test_image.jpg" + upload_file.size = len(file_content) + upload_file.read = AsyncMock(return_value=file_content) + return upload_file + + +@pytest.fixture +def fxt_db_session(): + """Fixture for a mock database session.""" + return AsyncMock(spec=AsyncSession) + + +@pytest.fixture +def fxt_project_list(fxt_project): + """Fixture for a test project list.""" + return ProjectList(projects=[fxt_project]) + + +@pytest.fixture +def fxt_job_list(fxt_job): + """Fixture for a test job list.""" + return JobList(jobs=[fxt_job]) + + +@pytest.fixture +def fxt_media_list(fxt_media): + """Fixture for a test media list.""" + return MediaList(media=[fxt_media]) + + +@pytest.fixture +def fxt_model_list(fxt_model): + """Fixture for a test model list.""" + return ModelList(models=[fxt_model]) + + +@pytest.fixture +def fxt_image_bytes(): + """Fixture for test image bytes.""" + # Create a valid image for testing + img = Image.new("RGB", (800, 600), color="blue") + with BytesIO() as buf: + img.save(buf, format="JPEG") + return buf.getvalue() + + +@pytest.fixture +def fxt_openvino_inferencer(): + """Fixture for a mock OpenVINO inferencer.""" + inferencer = MagicMock() + prediction = MagicMock() + prediction.anomaly_map = MagicMock() + prediction.anomaly_map.squeeze.return_value = [[0.1, 0.2], [0.3, 0.4]] + prediction.pred_label = MagicMock() + prediction.pred_label.item.return_value = 0 + prediction.pred_score = MagicMock() + prediction.pred_score.item.return_value = 0.1 + inferencer.predict.return_value = prediction + return inferencer diff --git a/application/backend/tests/unit/endpoints/conftest.py b/application/backend/tests/unit/endpoints/conftest.py new file mode 100644 index 0000000000..11cb2d3852 --- /dev/null +++ b/application/backend/tests/unit/endpoints/conftest.py @@ -0,0 +1,12 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import pytest +from fastapi.testclient import TestClient + +from main import app + + +@pytest.fixture +def fxt_client(): + return TestClient(app, raise_server_exceptions=False) diff --git a/application/backend/tests/unit/endpoints/test_jobs.py b/application/backend/tests/unit/endpoints/test_jobs.py new file mode 100644 index 0000000000..213ad63d65 --- /dev/null +++ b/application/backend/tests/unit/endpoints/test_jobs.py @@ -0,0 +1,67 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +from unittest.mock import MagicMock + +import pytest +from fastapi import status +from sse_starlette import ServerSentEvent + +from api.dependencies import get_job_service +from main import app +from pydantic_models import JobList +from services import JobService + + +@pytest.fixture +def fxt_job_service() -> MagicMock: + job_service = MagicMock(spec=JobService) + app.dependency_overrides[get_job_service] = lambda: job_service + return job_service + + +def test_get_jobs(fxt_client, fxt_job_service, fxt_job): + fxt_job_service.get_job_list.return_value = JobList(jobs=[fxt_job]) + + response = fxt_client.get("/api/jobs") + assert response.status_code == status.HTTP_200_OK + assert len(response.json()["jobs"]) == 1 + fxt_job_service.get_job_list.assert_called_once() + + +def test_get_jobs_empty(fxt_client, fxt_job_service, fxt_job): + fxt_job_service.get_job_list.return_value = JobList(jobs=[]) + + response = fxt_client.get("/api/jobs") + assert response.status_code == status.HTTP_200_OK + assert len(response.json()["jobs"]) == 0 + fxt_job_service.get_job_list.assert_called_once() + + +def test_get_job_logs_success(fxt_client, fxt_job_service, fxt_job): + """Test successful log streaming endpoint.""" + + # Mock the stream_logs generator + async def mock_stream(): + yield ServerSentEvent(data='{"level": "INFO", "message": "Line 1"}') + yield ServerSentEvent(data='{"level": "INFO", "message": "Line 2"}') + + fxt_job_service.stream_logs.return_value = mock_stream() + + response = fxt_client.get(f"/api/jobs/{fxt_job.id}/logs") + assert response.status_code == status.HTTP_200_OK + + # Verify the streamed content + content = response.content.decode("utf-8") + lines = [line for line in content.split("\n") if line] + assert len(lines) == 4 # 2 events + 2 newlines + assert '"level": "INFO"' in lines[0] + assert '"message": "Line 1"' in lines[0] + + fxt_job_service.stream_logs.assert_called_once_with(job_id=fxt_job.id) + + +def test_get_job_logs_invalid_uuid(fxt_client, fxt_job_service): + """Test log streaming with invalid job ID.""" + response = fxt_client.get("/api/jobs/invalid-uuid/logs") + # FastAPI returns 400 for invalid UUID in path parameter + assert response.status_code == status.HTTP_400_BAD_REQUEST diff --git a/application/backend/tests/unit/endpoints/test_media.py b/application/backend/tests/unit/endpoints/test_media.py new file mode 100644 index 0000000000..12ba71096b --- /dev/null +++ b/application/backend/tests/unit/endpoints/test_media.py @@ -0,0 +1,124 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from unittest.mock import MagicMock +from uuid import uuid4 + +import pytest +from fastapi import status + +from api.dependencies import get_media_service +from main import app +from pydantic_models import Media, MediaList +from services import MediaService, ResourceNotFoundError +from services.exceptions import ResourceType + + +@pytest.fixture +def fxt_media(fxt_project): + return Media( + id=uuid4(), + project_id=fxt_project.id, + filename="test_image.jpg", + size=64, + is_anomalous=False, + width=800, + height=600, + ) + + +@pytest.fixture +def fxt_media_service() -> MagicMock: + media_service = MagicMock(spec=MediaService) + app.dependency_overrides[get_media_service] = lambda: media_service + return media_service + + +def test_get_media_list_empty(fxt_client, fxt_media_service): + project_id = uuid4() + fxt_media_service.get_media_list.return_value = MediaList(media=[]) + + response = fxt_client.get(f"/api/projects/{project_id}/images") + assert response.status_code == status.HTTP_200_OK + assert response.json() == {"media": []} + fxt_media_service.get_media_list.assert_called_once_with(project_id=project_id) + + +def test_get_media_list(fxt_client, fxt_media_service, fxt_media): + project_id = uuid4() + fxt_media_service.get_media_list.return_value = MediaList(media=[fxt_media]) + + response = fxt_client.get(f"/api/projects/{project_id}/images") + assert response.status_code == status.HTTP_200_OK + assert len(response.json()["media"]) == 1 + fxt_media_service.get_media_list.assert_called_once_with(project_id=project_id) + + +def test_get_media_thumbnail_success(fxt_client, fxt_media_service, tmp_path): + """Test successful thumbnail retrieval.""" + project_id = uuid4() + media_id = uuid4() + thumbnail_path = tmp_path / f"thumb_{media_id}.png" + thumbnail_path.write_bytes(b"fake thumbnail content") + + fxt_media_service.get_thumbnail_file_path.return_value = str(thumbnail_path) + + response = fxt_client.get(f"/api/projects/{project_id}/images/{media_id}/thumbnail") + + assert response.status_code == status.HTTP_200_OK + assert response.content == b"fake thumbnail content" + fxt_media_service.get_thumbnail_file_path.assert_called_once_with(project_id=project_id, media_id=media_id) + + +def test_get_media_thumbnail_not_found(fxt_client, fxt_media_service): + """Test thumbnail retrieval raises FileNotFoundError when media not found.""" + project_id = uuid4() + media_id = uuid4() + + fxt_media_service.get_thumbnail_file_path.side_effect = FileNotFoundError("Media not found") + + response = fxt_client.get(f"/api/projects/{project_id}/images/{media_id}/thumbnail") + + assert response.status_code == status.HTTP_404_NOT_FOUND + assert response.json()["detail"] == f"Media with ID {media_id} not found" + fxt_media_service.get_thumbnail_file_path.assert_called_once_with(project_id=project_id, media_id=media_id) + + +def test_delete_media_success(fxt_client, fxt_media_service, fxt_media): + """Test successful media deletion.""" + project_id = fxt_media.project_id + media_id = fxt_media.id + + fxt_media_service.delete_media.return_value = None + + response = fxt_client.delete(f"/api/projects/{project_id}/images/{media_id}") + + assert response.status_code == status.HTTP_204_NO_CONTENT + assert response.content == b"" + fxt_media_service.delete_media.assert_called_once_with(media_id=media_id, project_id=project_id) + + +def test_delete_media_not_found(fxt_client, fxt_media_service): + """Test media deletion when media not found.""" + project_id = uuid4() + media_id = uuid4() + + fxt_media_service.delete_media.side_effect = ResourceNotFoundError( + resource_type=ResourceType.MEDIA, resource_id=str(media_id) + ) + + response = fxt_client.delete(f"/api/projects/{project_id}/images/{media_id}") + + assert response.status_code == status.HTTP_404_NOT_FOUND + assert response.json()["detail"] == f"Media with ID {media_id} not found." + fxt_media_service.delete_media.assert_called_once_with(media_id=media_id, project_id=project_id) + + +def test_delete_media_invalid_id(fxt_client, fxt_media_service): + """Test media deletion with invalid media ID format.""" + project_id = uuid4() + + response = fxt_client.delete(f"/api/projects/{project_id}/images/invalid-id") + + assert response.status_code == status.HTTP_400_BAD_REQUEST + fxt_media_service.delete_media.assert_not_called() diff --git a/application/backend/tests/unit/endpoints/test_models.py b/application/backend/tests/unit/endpoints/test_models.py new file mode 100644 index 0000000000..bd84cefbca --- /dev/null +++ b/application/backend/tests/unit/endpoints/test_models.py @@ -0,0 +1,75 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from unittest.mock import MagicMock +from uuid import uuid4 + +import pytest +from fastapi import status + +from api.dependencies import get_model_service +from main import app +from pydantic_models import Model, ModelList +from services import ModelService, ResourceNotFoundError +from services.exceptions import ResourceType + + +@pytest.fixture +def fxt_model(fxt_project): + return Model( + id=uuid4(), + name="test_model", + project_id=fxt_project.id, + export_path="/path/to/model", + train_job_id=uuid4(), + size=1024, + ) + + +@pytest.fixture +def fxt_model_service() -> MagicMock: + model_service = MagicMock(spec=ModelService) + app.dependency_overrides[get_model_service] = lambda: model_service + return model_service + + +def test_get_models_empty(fxt_client, fxt_model_service, fxt_project): + project_id = fxt_project.id + fxt_model_service.get_model_list.return_value = ModelList(models=[]) + + response = fxt_client.get(f"/api/projects/{project_id}/models") + assert response.status_code == status.HTTP_200_OK + assert response.json() == {"models": []} + fxt_model_service.get_model_list.assert_called_once_with(project_id=project_id) + + +def test_get_models(fxt_client, fxt_model_service, fxt_model, fxt_project): + project_id = fxt_project.id + fxt_model_service.get_model_list.return_value = ModelList(models=[fxt_model]) + + response = fxt_client.get(f"/api/projects/{project_id}/models") + assert response.status_code == status.HTTP_200_OK + assert len(response.json()["models"]) == 1 + assert response.json()["models"][0]["size"] == 1024 + fxt_model_service.get_model_list.assert_called_once_with(project_id=project_id) + + +def test_delete_model_success(fxt_client, fxt_model_service, fxt_project): + project_id = fxt_project.id + model_id = uuid4() + + response = fxt_client.delete(f"/api/projects/{project_id}/models/{model_id}") + + assert response.status_code == status.HTTP_204_NO_CONTENT + fxt_model_service.delete_model.assert_called_once_with(project_id=project_id, model_id=model_id) + + +def test_delete_model_not_found(fxt_client, fxt_model_service, fxt_project): + project_id = fxt_project.id + model_id = uuid4() + fxt_model_service.delete_model.side_effect = ResourceNotFoundError(ResourceType.MODEL, str(model_id)) + + response = fxt_client.delete(f"/api/projects/{project_id}/models/{model_id}") + + assert response.status_code == status.HTTP_404_NOT_FOUND + assert "not found" in response.json()["detail"].lower() diff --git a/application/backend/tests/unit/endpoints/test_pipelines.py b/application/backend/tests/unit/endpoints/test_pipelines.py new file mode 100644 index 0000000000..58423d1ff4 --- /dev/null +++ b/application/backend/tests/unit/endpoints/test_pipelines.py @@ -0,0 +1,397 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from datetime import UTC, datetime +from unittest.mock import AsyncMock, MagicMock +from uuid import uuid4 + +import pytest +from fastapi import status +from pydantic import ValidationError + +from api.dependencies import get_pipeline_metrics_service, get_pipeline_service +from main import app +from pydantic_models.metrics import InferenceMetrics, LatencyMetrics, PipelineMetrics, ThroughputMetrics, TimeWindow +from pydantic_models.model import Model +from pydantic_models.pipeline import Pipeline, PipelineStatus +from pydantic_models.sink import FolderSinkConfig +from pydantic_models.source import VideoFileSourceConfig +from services import ActivePipelineConflictError, PipelineService +from services.pipeline_metrics_service import PipelineMetricsService + + +@pytest.fixture +def fxt_pipeline() -> Pipeline: + return Pipeline( + project_id=uuid4(), + status=PipelineStatus.IDLE, + ) + + +@pytest.fixture +def fxt_pipeline_service() -> MagicMock: + pipeline_service = MagicMock(spec=PipelineService) + # get_active_pipeline is an async static method, so we need to mock it as AsyncMock + pipeline_service.get_active_pipeline = AsyncMock(return_value=None) + app.dependency_overrides[get_pipeline_service] = lambda: pipeline_service + return pipeline_service + + +@pytest.fixture +def fxt_pipeline_metrics_service() -> MagicMock: + pipeline_metrics_service = MagicMock(spec=PipelineMetricsService) + app.dependency_overrides[get_pipeline_metrics_service] = lambda: pipeline_metrics_service + return pipeline_metrics_service + + +class TestPipelineEndpoints: + @pytest.mark.parametrize( + "http_method, service_method", + [ + ("get", "get_pipeline_by_id"), + ("patch", "update_pipeline"), + ], + ) + def test_pipeline_invalid_ids(self, http_method, service_method, fxt_pipeline_service, fxt_client): + response = getattr(fxt_client, http_method)("/api/projects/invalid-id/pipeline") + + assert response.status_code == status.HTTP_400_BAD_REQUEST + getattr(fxt_pipeline_service, service_method).assert_not_called() + + def test_get_pipeline_success(self, fxt_pipeline, fxt_pipeline_service, fxt_client): + fxt_pipeline_service.get_pipeline_by_id.return_value = fxt_pipeline + + response = fxt_client.get(f"/api/projects/{fxt_pipeline.project_id}/pipeline") + + assert response.status_code == status.HTTP_200_OK + fxt_pipeline_service.get_pipeline_by_id.assert_called_once_with(fxt_pipeline.project_id) + + def test_update_pipeline_success(self, fxt_pipeline, fxt_pipeline_service, fxt_client): + project_id, sink_id = fxt_pipeline.project_id, str(uuid4()) + fxt_pipeline_service.update_pipeline.return_value = fxt_pipeline + + response = fxt_client.patch(f"/api/projects/{project_id}/pipeline", json={"sink_id": sink_id}) + + assert response.status_code == status.HTTP_200_OK + fxt_pipeline_service.update_pipeline.assert_called_once_with(project_id, {"sink_id": sink_id}) + + def test_update_pipeline_status(self, fxt_pipeline, fxt_pipeline_service, fxt_client): + response = fxt_client.patch( + f"/api/projects/{fxt_pipeline.project_id}/pipeline", json={"status": PipelineStatus.IDLE} + ) + + assert response.status_code == status.HTTP_400_BAD_REQUEST + fxt_pipeline_service.update_pipeline.assert_not_called() + + @pytest.mark.parametrize( + "operation, pipeline_status", + [ + ("run", PipelineStatus.RUNNING), + ("disable", PipelineStatus.IDLE), + ], + ) + def test_enable_pipeline(self, operation, pipeline_status, fxt_pipeline, fxt_pipeline_service, fxt_client): + project_id = fxt_pipeline.project_id + # Mock get_active_pipeline to return None (no active pipeline) for run operation + if operation == "run": + fxt_pipeline_service.get_active_pipeline = AsyncMock(return_value=None) + # activate_pipeline internally calls update_pipeline, so we make activate_pipeline call update_pipeline + + async def activate_pipeline_side_effect(proj_id, set_running=False): + await fxt_pipeline_service.update_pipeline(proj_id, {"status": pipeline_status}) + return fxt_pipeline + + fxt_pipeline_service.activate_pipeline = AsyncMock(side_effect=activate_pipeline_side_effect) + fxt_pipeline_service.update_pipeline = AsyncMock(return_value=fxt_pipeline) + response = fxt_client.post(f"/api/projects/{project_id}/pipeline:{operation}") + + assert response.status_code == status.HTTP_204_NO_CONTENT + if operation == "run": + fxt_pipeline_service.activate_pipeline.assert_called_once_with(project_id, set_running=True) + fxt_pipeline_service.update_pipeline.assert_called_once_with(project_id, {"status": pipeline_status}) + else: + fxt_pipeline_service.update_pipeline.assert_called_once_with(project_id, {"status": pipeline_status}) + + @pytest.mark.parametrize("operation", ["run", "disable"]) + def test_enable_pipeline_invalid_id(self, operation, fxt_pipeline, fxt_pipeline_service, fxt_client): + response = fxt_client.post(f"/api/projects/invalid-id/pipeline:{operation}") + + assert response.status_code == status.HTTP_400_BAD_REQUEST + fxt_pipeline_service.update_pipeline.assert_not_called() + + # Note: ResourceNotFoundError handling not implemented in current endpoints + # def test_enable_non_existent_pipeline( + # self, pipeline_op, pipeline_status, fxt_pipeline, fxt_pipeline_service, fxt_client + # ): + # project_id = fxt_pipeline.project_id + # fxt_pipeline_service.update_pipeline.side_effect = ResourceNotFoundError( + # resource_type=ResourceType.PIPELINE, + # resource_id=str(project_id), + # ) + # response = fxt_client.post(f"/api/projects/{project_id}/pipeline:{pipeline_op}") + # assert response.status_code == status.HTTP_500_INTERNAL_SERVER_ERROR + # fxt_pipeline_service.update_pipeline.assert_called_once_with(project_id, {"status": pipeline_status}) + + def test_cannot_enable_pipeline(self, fxt_pipeline, fxt_pipeline_service, fxt_client): + # Mock activate_pipeline to raise ValidationError (which happens when update_pipeline raises it) + fxt_pipeline_service.activate_pipeline.side_effect = ValidationError.from_exception_data( + "Pipeline", + [ + { + "type": "missing", + "loc": ("name",), + "msg": "Field required", + "input": {}, + } + ], + ) + + response = fxt_client.post(f"/api/projects/{fxt_pipeline.project_id}/pipeline:run") + + assert response.status_code == status.HTTP_409_CONFLICT + fxt_pipeline_service.activate_pipeline.assert_called_once_with(fxt_pipeline.project_id, set_running=True) + + def test_enable_pipeline_with_active_pipeline_different_project( + self, fxt_pipeline, fxt_pipeline_service, fxt_client + ): + """Test enabling a pipeline when another pipeline from a different project is already active.""" + other_project_id = uuid4() + # Create a valid RUNNING pipeline with required fields + source = VideoFileSourceConfig( + id=uuid4(), + project_id=other_project_id, + source_type="video_file", + name="Test Source", + video_path="/path/to/video.mp4", + ) + sink = FolderSinkConfig( + id=uuid4(), + project_id=other_project_id, + sink_type="folder", + name="Test Sink", + folder_path="/path/to/output", + output_formats=["image_original"], + rate_limit=0.2, + ) + model = Model( + id=uuid4(), + project_id=other_project_id, + name="Test Model", + format="openvino", + train_job_id=uuid4(), + ) + active_pipeline = Pipeline( + project_id=other_project_id, + source=source, + sink=sink, + model=model, + source_id=source.id, + sink_id=sink.id, + model_id=model.id, + status=PipelineStatus.RUNNING, + ) + # activate_pipeline raises ActivePipelineConflictError when there's an active pipeline from different project + fxt_pipeline_service.activate_pipeline.side_effect = ActivePipelineConflictError( + pipeline_id=str(fxt_pipeline.project_id), + reason=f"another pipeline is already active. Please disable the pipeline {active_pipeline.id} " + f"before activating a new one", + ) + + response = fxt_client.post(f"/api/projects/{fxt_pipeline.project_id}/pipeline:run") + + assert response.status_code == status.HTTP_409_CONFLICT + assert "Cannot activate pipeline" in response.json()["detail"] + fxt_pipeline_service.activate_pipeline.assert_called_once_with(fxt_pipeline.project_id, set_running=True) + + def test_enable_pipeline_with_active_pipeline_same_project(self, fxt_pipeline, fxt_pipeline_service, fxt_client): + """Test enabling a pipeline when the same pipeline is already active (re-enabling).""" + # Create a valid RUNNING pipeline with required fields + source = VideoFileSourceConfig( + id=uuid4(), + project_id=fxt_pipeline.project_id, + source_type="video_file", + name="Test Source", + video_path="/path/to/video.mp4", + ) + sink = FolderSinkConfig( + id=uuid4(), + project_id=fxt_pipeline.project_id, + sink_type="folder", + name="Test Sink", + folder_path="/path/to/output", + output_formats=["image_original"], + rate_limit=0.2, + ) + model = Model( + id=uuid4(), + project_id=fxt_pipeline.project_id, + name="Test Model", + format="openvino", + train_job_id=uuid4(), + ) + active_pipeline = Pipeline( + project_id=fxt_pipeline.project_id, + source=source, + sink=sink, + model=model, + source_id=source.id, + sink_id=sink.id, + model_id=model.id, + status=PipelineStatus.RUNNING, + ) + # activate_pipeline internally calls get_active_pipeline and update_pipeline + # Make activate_pipeline call update_pipeline when called + + async def activate_pipeline_side_effect(proj_id, set_running=False): + await fxt_pipeline_service.update_pipeline(proj_id, {"status": PipelineStatus.RUNNING}) + return active_pipeline + + fxt_pipeline_service.get_active_pipeline = AsyncMock(return_value=active_pipeline) + fxt_pipeline_service.update_pipeline = AsyncMock(return_value=active_pipeline) + fxt_pipeline_service.activate_pipeline = AsyncMock(side_effect=activate_pipeline_side_effect) + + response = fxt_client.post(f"/api/projects/{fxt_pipeline.project_id}/pipeline:run") + + assert response.status_code == status.HTTP_204_NO_CONTENT + fxt_pipeline_service.activate_pipeline.assert_called_once_with(fxt_pipeline.project_id, set_running=True) + # activate_pipeline internally calls update_pipeline when re-enabling + fxt_pipeline_service.update_pipeline.assert_called_once_with( + fxt_pipeline.project_id, {"status": PipelineStatus.RUNNING} + ) + + def test_get_pipeline_metrics_success(self, fxt_pipeline, fxt_pipeline_metrics_service, fxt_client): + """Test successful retrieval of pipeline metrics with default time window.""" + mock_metrics = PipelineMetrics( + time_window=TimeWindow(start=datetime.now(UTC), end=datetime.now(UTC), time_window=60), + inference=InferenceMetrics( + latency=LatencyMetrics(avg_ms=100.5, min_ms=50.0, max_ms=200.0, p95_ms=180.0, latest_ms=120.0), + throughput=ThroughputMetrics( + avg_requests_per_second=30.0, total_requests=1800, max_requests_per_second=45.0 + ), + ), + ) + fxt_pipeline_metrics_service.get_pipeline_metrics.return_value = mock_metrics + + response = fxt_client.get(f"/api/projects/{fxt_pipeline.project_id}/pipeline/metrics") + + assert response.status_code == status.HTTP_200_OK + fxt_pipeline_metrics_service.get_pipeline_metrics.assert_called_once_with(fxt_pipeline.project_id, 60) + + def test_get_pipeline_metrics_invalid_pipeline_id(self, fxt_pipeline_metrics_service, fxt_client): + """Test metrics endpoint with invalid pipeline ID format.""" + response = fxt_client.get("/api/projects/invalid-id/pipeline/metrics") + + assert response.status_code == status.HTTP_400_BAD_REQUEST + fxt_pipeline_metrics_service.get_pipeline_metrics.assert_not_called() + + # Note: ResourceNotFoundError handling not implemented in current endpoints + # def test_get_pipeline_metrics_pipeline_not_found(self, fxt_pipeline, fxt_pipeline_service, fxt_client): + # """Test metrics endpoint when pipeline doesn't exist.""" + # fxt_pipeline_service.get_pipeline_metrics.side_effect = ResourceNotFoundError( + # ResourceType.PIPELINE, str(fxt_pipeline.project_id) + # ) + # response = fxt_client.get(f"/api/projects/{fxt_pipeline.project_id}/pipeline/metrics") + # assert response.status_code == status.HTTP_500_INTERNAL_SERVER_ERROR + # fxt_pipeline_service.get_pipeline_metrics.assert_called_once_with(fxt_pipeline.project_id, 60) + + def test_get_pipeline_metrics_pipeline_not_running(self, fxt_pipeline, fxt_pipeline_metrics_service, fxt_client): + """Test metrics endpoint when pipeline is not in running state.""" + fxt_pipeline_metrics_service.get_pipeline_metrics.side_effect = ValueError( + "Cannot get metrics for a pipeline that is not running." + ) + + response = fxt_client.get(f"/api/projects/{fxt_pipeline.project_id}/pipeline/metrics") + + assert response.status_code == status.HTTP_400_BAD_REQUEST + assert "Cannot get metrics for a pipeline that is not running" in response.json()["detail"] + fxt_pipeline_metrics_service.get_pipeline_metrics.assert_called_once_with(fxt_pipeline.project_id, 60) + + @pytest.mark.parametrize("invalid_time_window", [0, -1, 3601, 7200]) + def test_get_pipeline_metrics_invalid_time_window( + self, invalid_time_window, fxt_pipeline, fxt_pipeline_metrics_service, fxt_client + ): + """Test metrics endpoint with invalid time window values.""" + response = fxt_client.get( + f"/api/projects/{fxt_pipeline.project_id}/pipeline/metrics?time_window={invalid_time_window}" + ) + + assert response.status_code == status.HTTP_400_BAD_REQUEST + assert "Duration must be between 1 and 3600 seconds" in response.json()["detail"] + fxt_pipeline_metrics_service.get_pipeline_metrics.assert_not_called() + + @pytest.mark.parametrize("valid_time_window", [1, 30, 300, 1800, 3600]) + def test_get_pipeline_metrics_valid_time_windows( + self, valid_time_window, fxt_pipeline, fxt_pipeline_metrics_service, fxt_client + ): + """Test metrics endpoint with various valid time window values.""" + mock_metrics = PipelineMetrics( + time_window=TimeWindow(start=datetime.now(UTC), end=datetime.now(UTC), time_window=valid_time_window), + inference=InferenceMetrics( + latency=LatencyMetrics(avg_ms=100.0, min_ms=50.0, max_ms=200.0, p95_ms=180.0, latest_ms=120.0), + throughput=ThroughputMetrics( + avg_requests_per_second=30.0, total_requests=1800, max_requests_per_second=45.0 + ), + ), + ) + fxt_pipeline_metrics_service.get_pipeline_metrics.return_value = mock_metrics + + response = fxt_client.get( + f"/api/projects/{fxt_pipeline.project_id}/pipeline/metrics?time_window={valid_time_window}" + ) + + assert response.status_code == status.HTTP_200_OK + fxt_pipeline_metrics_service.get_pipeline_metrics.assert_called_once_with( + fxt_pipeline.project_id, valid_time_window + ) + + def test_get_pipeline_metrics_no_data_available(self, fxt_pipeline, fxt_pipeline_metrics_service, fxt_client): + """Test metrics endpoint when no latency data is available.""" + mock_metrics = PipelineMetrics( + time_window=TimeWindow(start=datetime.now(UTC), end=datetime.now(UTC), time_window=60), + inference=InferenceMetrics( + latency=LatencyMetrics(avg_ms=None, min_ms=None, max_ms=None, p95_ms=None, latest_ms=None), + throughput=ThroughputMetrics( + avg_requests_per_second=None, total_requests=None, max_requests_per_second=None + ), + ), + ) + fxt_pipeline_metrics_service.get_pipeline_metrics.return_value = mock_metrics + + response = fxt_client.get(f"/api/projects/{fxt_pipeline.project_id}/pipeline/metrics") + + assert response.status_code == status.HTTP_200_OK + response_data = response.json() + + assert response_data["inference"]["latency"]["avg_ms"] is None + assert response_data["inference"]["latency"]["min_ms"] is None + assert response_data["inference"]["latency"]["max_ms"] is None + assert response_data["inference"]["latency"]["p95_ms"] is None + assert response_data["inference"]["latency"]["latest_ms"] is None + + fxt_pipeline_metrics_service.get_pipeline_metrics.assert_called_once_with(fxt_pipeline.project_id, 60) + + def test_get_pipeline_metrics_success_with_data(self, fxt_pipeline, fxt_pipeline_metrics_service, fxt_client): + """Test successful retrieval of pipeline metrics with latency data.""" + mock_metrics = PipelineMetrics( + time_window=TimeWindow(start=datetime.now(UTC), end=datetime.now(UTC), time_window=60), + inference=InferenceMetrics( + latency=LatencyMetrics(avg_ms=100.5, min_ms=50.0, max_ms=200.0, p95_ms=180.0, latest_ms=120.0), + throughput=ThroughputMetrics( + avg_requests_per_second=30.0, total_requests=1800, max_requests_per_second=45.0 + ), + ), + ) + fxt_pipeline_metrics_service.get_pipeline_metrics.return_value = mock_metrics + + response = fxt_client.get(f"/api/projects/{str(fxt_pipeline.project_id)}/pipeline/metrics") + + assert response.status_code == status.HTTP_200_OK + response_data = response.json() + + assert response_data["inference"]["latency"]["avg_ms"] == 100.5 + assert response_data["inference"]["latency"]["min_ms"] == 50.0 + assert response_data["inference"]["latency"]["max_ms"] == 200.0 + assert response_data["inference"]["latency"]["p95_ms"] == 180.0 + assert response_data["inference"]["latency"]["latest_ms"] == 120.0 + + fxt_pipeline_metrics_service.get_pipeline_metrics.assert_called_once_with(fxt_pipeline.project_id, 60) diff --git a/application/backend/tests/unit/endpoints/test_projects.py b/application/backend/tests/unit/endpoints/test_projects.py new file mode 100644 index 0000000000..5c44129b73 --- /dev/null +++ b/application/backend/tests/unit/endpoints/test_projects.py @@ -0,0 +1,38 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from unittest.mock import MagicMock +from uuid import uuid4 + +import pytest +from fastapi import status + +from api.dependencies import get_project_service +from main import app +from pydantic_models import ProjectList +from services import ProjectService + + +@pytest.fixture +def fxt_project_service() -> MagicMock: + project_service = MagicMock(spec=ProjectService) + app.dependency_overrides[get_project_service] = lambda: project_service + return project_service + + +def test_get_projects(fxt_client, fxt_project_service, fxt_project): + fxt_project_service.get_project_list.return_value = ProjectList(projects=[fxt_project]) + + response = fxt_client.get("/api/projects") + assert response.status_code == status.HTTP_200_OK + assert len(response.json()["projects"]) == 1 + fxt_project_service.get_project_list.assert_called_once() + + +def test_get_project_not_found(fxt_client, fxt_project_service): + project_id = uuid4() + fxt_project_service.get_project_by_id.return_value = None + + response = fxt_client.get(f"/api/projects/{project_id}") + assert response.status_code == status.HTTP_404_NOT_FOUND + fxt_project_service.get_project_by_id.assert_called_once_with(project_id) diff --git a/application/backend/tests/unit/endpoints/test_sources_sinks.py b/application/backend/tests/unit/endpoints/test_sources_sinks.py new file mode 100644 index 0000000000..2e0a317aba --- /dev/null +++ b/application/backend/tests/unit/endpoints/test_sources_sinks.py @@ -0,0 +1,413 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import io +from enum import StrEnum +from unittest.mock import MagicMock +from uuid import uuid4 + +import pytest +import yaml +from fastapi import status + +from api.dependencies import get_configuration_service +from main import app +from pydantic_models.sink import FolderSinkConfig, MqttSinkConfig, OutputFormat, SinkType +from pydantic_models.source import SourceType, VideoFileSourceConfig, WebcamSourceConfig +from services import ConfigurationService, ResourceAlreadyExistsError, ResourceInUseError, ResourceNotFoundError +from services.exceptions import ResourceType + + +class ConfigApiPath(StrEnum): + SINKS = "sinks" + SOURCES = "sources" + + +@pytest.fixture +def fxt_folder_sink(fxt_project) -> FolderSinkConfig: + return FolderSinkConfig( + id=uuid4(), + project_id=fxt_project.id, + sink_type=SinkType.FOLDER, + name="Test Folder Sink", + rate_limit=0.1, + output_formats=[OutputFormat.PREDICTIONS], + folder_path="/test/path", + ) + + +@pytest.fixture +def fxt_webcam_source(fxt_project) -> WebcamSourceConfig: + return WebcamSourceConfig( + id=uuid4(), + project_id=fxt_project.id, + source_type=SourceType.WEBCAM, + name="Test Webcam Source", + device_id=1, + ) + + +@pytest.fixture +def fxt_video_source(fxt_project) -> VideoFileSourceConfig: + return VideoFileSourceConfig( + id=uuid4(), + project_id=fxt_project.id, + source_type=SourceType.VIDEO_FILE, + name="Test Folder Source", + video_path="/test/video/path.mp4", + ) + + +@pytest.fixture +def fxt_mqtt_sink(fxt_project) -> MqttSinkConfig: + return MqttSinkConfig( + id=uuid4(), + project_id=fxt_project.id, + sink_type=SinkType.MQTT, + name="Test MQTT Sink", + rate_limit=0.2, + output_formats=[OutputFormat.IMAGE_WITH_PREDICTIONS], + broker_host="localhost", + broker_port=1883, + topic="test_topic", + ) + + +@pytest.fixture +def fxt_config_service() -> MagicMock: + config_service = MagicMock(spec=ConfigurationService) + app.dependency_overrides[get_configuration_service] = lambda: config_service + return config_service + + +class TestSourceAndSinkEndpoints: + @pytest.mark.parametrize( + "fixture_name, api_path, create_method", + [ + ("fxt_webcam_source", ConfigApiPath.SOURCES, "create_source"), + ("fxt_folder_sink", ConfigApiPath.SINKS, "create_sink"), + ], + ) + def test_create_config_success( + self, fixture_name, api_path, create_method, fxt_config_service, fxt_client, fxt_project, request + ): + fxt_config = request.getfixturevalue(fixture_name) + config_id = str(fxt_config.id) + getattr(fxt_config_service, create_method).return_value = fxt_config + + response = fxt_client.post( + f"/api/projects/{fxt_project.id}/{api_path}", json=fxt_config.model_dump(exclude={"id", "project_id"}) + ) + + assert response.status_code == status.HTTP_201_CREATED + assert response.json()["id"] == config_id + assert response.json()["name"] == fxt_config.name + getattr(fxt_config_service, create_method).assert_called_once() + + @pytest.mark.parametrize( + "api_path, create_method", + [ + (ConfigApiPath.SOURCES, "create_source"), + (ConfigApiPath.SINKS, "create_sink"), + ], + ) + def test_create_sink_validation_error(self, api_path, create_method, fxt_config_service, fxt_client, fxt_project): + response = fxt_client.post(f"/api/projects/{fxt_project.id}/{api_path}", json={"name": ""}) + + assert response.status_code == status.HTTP_400_BAD_REQUEST + getattr(fxt_config_service, create_method).assert_not_called() + + @pytest.mark.parametrize( + "resource_type, api_path, fixture_name, create_method", + [ + (ResourceType.SOURCE, ConfigApiPath.SOURCES, "fxt_webcam_source", "create_source"), + (ResourceType.SINK, ConfigApiPath.SINKS, "fxt_folder_sink", "create_sink"), + ], + ) + def test_create_config_exists( + self, resource_type, api_path, fixture_name, create_method, fxt_config_service, fxt_client, fxt_project, request + ): + fxt_config = request.getfixturevalue(fixture_name) + getattr(fxt_config_service, create_method).side_effect = ResourceAlreadyExistsError( + resource_type=resource_type, resource_name="New Config" + ) + response = fxt_client.post( + f"/api/projects/{fxt_project.id}/{api_path}", json=fxt_config.model_dump(exclude={"id", "project_id"}) + ) + + assert response.status_code == status.HTTP_409_CONFLICT + getattr(fxt_config_service, create_method).assert_called_once() + + @pytest.mark.parametrize( + "fixtures, api_path, list_method", + [ + (["fxt_webcam_source", "fxt_video_source"], ConfigApiPath.SOURCES, "list_sources"), + (["fxt_folder_sink", "fxt_mqtt_sink"], ConfigApiPath.SINKS, "list_sinks"), + ], + ) + def test_list_configs(self, fixtures, api_path, list_method, fxt_config_service, fxt_client, fxt_project, request): + fxt_configs = [request.getfixturevalue(fixture) for fixture in fixtures] + getattr(fxt_config_service, list_method).return_value = fxt_configs + + response = fxt_client.get(f"/api/projects/{fxt_project.id}/{api_path}") + + assert response.status_code == status.HTTP_200_OK + assert len(response.json()) == 2 + getattr(fxt_config_service, list_method).assert_called_once() + + @pytest.mark.parametrize( + "fixture_name, api_path, get_method", + [ + ("fxt_webcam_source", ConfigApiPath.SOURCES, "get_source_by_id"), + ("fxt_folder_sink", ConfigApiPath.SINKS, "get_sink_by_id"), + ], + ) + def test_get_config_success( + self, fixture_name, api_path, get_method, fxt_config_service, fxt_client, fxt_project, request + ): + fxt_config = request.getfixturevalue(fixture_name) + config_id = str(fxt_config.id) + getattr(fxt_config_service, get_method).return_value = fxt_config + + response = fxt_client.get(f"/api/projects/{fxt_project.id}/{api_path}/{config_id}") + + assert response.status_code == status.HTTP_200_OK + assert response.json()["id"] == config_id + getattr(fxt_config_service, get_method).assert_called_once_with(fxt_config.id, fxt_project.id) + + @pytest.mark.parametrize( + "resource_type, api_path, get_method", + [ + (ResourceType.SOURCE, ConfigApiPath.SOURCES, "get_source_by_id"), + (ResourceType.SINK, ConfigApiPath.SINKS, "get_sink_by_id"), + ], + ) + def test_get_config_not_found( + self, resource_type, api_path, get_method, fxt_config_service, fxt_client, fxt_project + ): + config_id = uuid4() + getattr(fxt_config_service, get_method).side_effect = ResourceNotFoundError(resource_type, str(config_id)) + + response = fxt_client.get(f"/api/projects/{fxt_project.id}/{api_path}/{str(config_id)}") + + assert response.status_code == status.HTTP_404_NOT_FOUND + getattr(fxt_config_service, get_method).assert_called_once_with(config_id, fxt_project.id) + + @pytest.mark.parametrize("api_path", [ConfigApiPath.SOURCES, ConfigApiPath.SINKS]) + def test_get_config_invalid_uuid(self, api_path, fxt_client, fxt_project): + response = fxt_client.get(f"/api/projects/{fxt_project.id}/{api_path}/invalid-uuid") + assert response.status_code == status.HTTP_400_BAD_REQUEST + + @pytest.mark.parametrize( + "fixture_name, api_path, update_method, update_data", + [ + ("fxt_webcam_source", ConfigApiPath.SOURCES, "update_source", {"device_id": 5}), + ("fxt_folder_sink", ConfigApiPath.SINKS, "update_sink", {"folder_path": "/new/path"}), + ], + ) + def test_update_sink_success( + self, fixture_name, api_path, update_method, update_data, fxt_config_service, fxt_client, fxt_project, request + ): + fxt_config = request.getfixturevalue(fixture_name) + config_id = str(fxt_config.id) + updated_config = fxt_config.model_copy(update=update_data) + getattr(fxt_config_service, update_method).return_value = updated_config + + response = fxt_client.patch(f"/api/projects/{fxt_project.id}/{api_path}/{config_id}", json=update_data) + + assert response.status_code == status.HTTP_200_OK + key, value = next(iter(update_data.items())) + assert response.json()[key] == value + getattr(fxt_config_service, update_method).assert_called_once_with(fxt_config.id, fxt_project.id, update_data) + + @pytest.mark.parametrize( + "api_path, update_method, resource_type", + [ + (ConfigApiPath.SOURCES, "update_source", ResourceType.SOURCE), + (ConfigApiPath.SINKS, "update_sink", ResourceType.SINK), + ], + ) + def test_update_config_not_found( + self, api_path, update_method, resource_type, fxt_config_service, fxt_client, fxt_project + ): + config_id = str(uuid4()) + getattr(fxt_config_service, update_method).side_effect = ResourceNotFoundError(resource_type, config_id) + + response = fxt_client.patch(f"/api/projects/{fxt_project.id}/{api_path}/{config_id}", json={"name": "Updated"}) + + assert response.status_code == status.HTTP_404_NOT_FOUND + + @pytest.mark.parametrize( + "fixture_name, api_path, update_method, update_data", + [ + ("fxt_webcam_source", ConfigApiPath.SOURCES, "update_source", {"source_type": "folder"}), + ("fxt_folder_sink", ConfigApiPath.SINKS, "update_sink", {"sink_type": "mqtt"}), + ], + ) + def test_update_config_type_forbidden( + self, fixture_name, api_path, update_method, update_data, fxt_config_service, fxt_client, fxt_project, request + ): + fxt_config = request.getfixturevalue(fixture_name) + config_id = str(fxt_config.id) + + response = fxt_client.patch(f"/api/projects/{fxt_project.id}/{api_path}/{config_id}", json=update_data) + + assert response.status_code == status.HTTP_400_BAD_REQUEST + assert "_type" in response.json()["detail"] + getattr(fxt_config_service, update_method).assert_not_called() + + @pytest.mark.parametrize( + "fixture_name, api_path, delete_method", + [ + ("fxt_webcam_source", ConfigApiPath.SOURCES, "delete_source_by_id"), + ("fxt_folder_sink", ConfigApiPath.SINKS, "delete_sink_by_id"), + ], + ) + def test_delete_config_success( + self, fixture_name, api_path, delete_method, fxt_config_service, fxt_client, fxt_project, request + ): + fxt_config = request.getfixturevalue(fixture_name) + config_id = str(fxt_config.id) + getattr(fxt_config_service, delete_method).side_effect = None + + response = fxt_client.delete(f"/api/projects/{fxt_project.id}/{api_path}/{config_id}") + + assert response.status_code == status.HTTP_204_NO_CONTENT + getattr(fxt_config_service, delete_method).assert_called_once_with(fxt_config.id, fxt_project.id) + + @pytest.mark.parametrize( + "api_path, delete_method", + [ + (ConfigApiPath.SOURCES, "delete_source_by_id"), + (ConfigApiPath.SINKS, "delete_sink_by_id"), + ], + ) + def test_delete_config_invalid_id(self, api_path, delete_method, fxt_config_service, fxt_client, fxt_project): + getattr(fxt_config_service, delete_method).side_effect = None + + response = fxt_client.delete(f"/api/projects/{fxt_project.id}/{api_path}/invalid-id") + + assert response.status_code == status.HTTP_400_BAD_REQUEST + getattr(fxt_config_service, delete_method).assert_not_called() + + @pytest.mark.parametrize( + "api_path, delete_method, resource_type", + [ + (ConfigApiPath.SOURCES, "delete_source_by_id", ResourceType.SOURCE), + (ConfigApiPath.SINKS, "delete_sink_by_id", ResourceType.SINK), + ], + ) + def test_delete_config_not_found( + self, api_path, delete_method, resource_type, fxt_config_service, fxt_client, fxt_project + ): + config_id = str(uuid4()) + getattr(fxt_config_service, delete_method).side_effect = ResourceNotFoundError(resource_type, config_id) + + response = fxt_client.delete(f"/api/projects/{fxt_project.id}/{api_path}/{config_id}") + + assert response.status_code == status.HTTP_404_NOT_FOUND + + @pytest.mark.parametrize( + "fixture_name, api_path, delete_method, resource_type", + [ + ("fxt_webcam_source", ConfigApiPath.SOURCES, "delete_source_by_id", ResourceType.SOURCE), + ("fxt_folder_sink", ConfigApiPath.SINKS, "delete_sink_by_id", ResourceType.SINK), + ], + ) + def test_delete_config_in_use( + self, fixture_name, api_path, delete_method, resource_type, fxt_config_service, fxt_client, fxt_project, request + ): + fxt_config = request.getfixturevalue(fixture_name) + config_id = str(fxt_config.id) + err = ResourceInUseError(resource_type, config_id) + getattr(fxt_config_service, delete_method).side_effect = err + + response = fxt_client.delete(f"/api/projects/{fxt_project.id}/{api_path}/{config_id}") + + assert response.status_code == status.HTTP_409_CONFLICT + assert str(err) == response.json()["detail"] + + @pytest.mark.parametrize( + "fixture_name,api_path,get_method, expected_yaml", + [ + ( + "fxt_webcam_source", + ConfigApiPath.SOURCES, + "get_source_by_id", + "device_id: 1\nname: Test Webcam Source\nsource_type: webcam\n", + ), + ( + "fxt_folder_sink", + ConfigApiPath.SINKS, + "get_sink_by_id", + "folder_path: /test/path\nname: Test Folder Sink\noutput_formats:\n- predictions" + "\nrate_limit: 0.1\nsink_type: folder\n", + ), + ], + ) + def test_export_config_success( + self, fixture_name, api_path, get_method, expected_yaml, fxt_config_service, fxt_client, fxt_project, request + ): + fxt_config = request.getfixturevalue(fixture_name) + config_id = str(fxt_config.id) + getattr(fxt_config_service, get_method).return_value = fxt_config + + response = fxt_client.post(f"/api/projects/{fxt_project.id}/{api_path}/{config_id}:export") + + assert response.status_code == status.HTTP_200_OK + assert response.headers["content-type"] == "application/x-yaml" + assert f"{api_path[:-1]}_{config_id}.yaml" in response.headers["content-disposition"] + assert response.text == expected_yaml + getattr(fxt_config_service, get_method).assert_called_once_with(fxt_config.id, fxt_project.id) + + @pytest.mark.parametrize( + "fixture_name,api_path, create_method", + [ + ("fxt_webcam_source", ConfigApiPath.SOURCES, "create_source"), + ("fxt_folder_sink", ConfigApiPath.SINKS, "create_sink"), + ], + ) + def test_import_config_success( + self, fixture_name, api_path, create_method, fxt_config_service, fxt_client, fxt_project, request + ): + fxt_config = request.getfixturevalue(fixture_name) + sink_data = fxt_config.model_dump(exclude={"id", "project_id"}, mode="json") + yaml_content = yaml.safe_dump(sink_data) + getattr(fxt_config_service, create_method).return_value = fxt_config + + files = {"yaml_file": ("test.yaml", io.BytesIO(yaml_content.encode()), "application/x-yaml")} + response = fxt_client.post(f"/api/projects/{fxt_project.id}/{api_path}:import", files=files) + + assert response.status_code == status.HTTP_201_CREATED + assert response.json()["id"] == str(fxt_config.id) + getattr(fxt_config_service, create_method).assert_called_once() + + @pytest.mark.parametrize( + "api_path", + [ConfigApiPath.SOURCES, ConfigApiPath.SINKS], + ) + def test_import_config_invalid_yaml(self, api_path, fxt_client, fxt_project): + invalid_yaml = "invalid: yaml: content: [" + files = {"yaml_file": ("test.yaml", io.BytesIO(invalid_yaml.encode()), "application/x-yaml")} + + response = fxt_client.post(f"/api/projects/{fxt_project.id}/{api_path}:import", files=files) + + assert response.status_code == status.HTTP_400_BAD_REQUEST + assert "Invalid YAML format" in response.json()["detail"] + + @pytest.mark.parametrize( + "api_path, config_type", + [ + (ConfigApiPath.SOURCES, "source_type"), + (ConfigApiPath.SINKS, "sink_type"), + ], + ) + def test_import_disconnected_config_fails(self, api_path, config_type, fxt_client, fxt_project): + config_data = {config_type: "disconnected", "name": "Test"} + yaml_content = yaml.safe_dump(config_data) + files = {"yaml_file": ("test.yaml", io.BytesIO(yaml_content.encode()), "application/x-yaml")} + + response = fxt_client.post(f"/api/projects/{fxt_project.id}/{api_path}:import", files=files) + + assert response.status_code == status.HTTP_400_BAD_REQUEST + assert "DISCONNECTED cannot be imported" in response.json()["detail"] diff --git a/application/backend/tests/unit/endpoints/test_trainable_models.py b/application/backend/tests/unit/endpoints/test_trainable_models.py new file mode 100644 index 0000000000..113ec31dd4 --- /dev/null +++ b/application/backend/tests/unit/endpoints/test_trainable_models.py @@ -0,0 +1,19 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from unittest.mock import patch + +from fastapi import status + +from api.endpoints.trainable_models_endpoints import _get_trainable_models # noqa: PLC2701 + + +def test_list_trainable_models(fxt_client): + _get_trainable_models.cache_clear() + # Mock anomalib.models.list_models to return a predictable set + with patch("api.endpoints.trainable_models_endpoints.list_models", return_value={"padim", "patchcore"}): + response = fxt_client.get("/api/trainable-models") + + assert response.status_code == status.HTTP_200_OK + body = response.json() + assert body == {"trainable_models": ["padim", "patchcore"]} or body == {"trainable_models": ["patchcore", "padim"]} diff --git a/application/backend/tests/unit/endpoints/test_webrtc.py b/application/backend/tests/unit/endpoints/test_webrtc.py new file mode 100644 index 0000000000..943bb28d11 --- /dev/null +++ b/application/backend/tests/unit/endpoints/test_webrtc.py @@ -0,0 +1,63 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +from unittest.mock import MagicMock + +import pytest +from fastapi import status + +from api.dependencies import get_webrtc_manager +from main import app +from pydantic_models.webrtc import Answer, InputData, Offer +from webrtc.manager import WebRTCManager + + +@pytest.fixture +def fxt_webrtc_manager(): + webrtc_manager = MagicMock(spec=WebRTCManager) + app.dependency_overrides[get_webrtc_manager] = lambda: webrtc_manager + return webrtc_manager + + +@pytest.fixture +def fxt_offer() -> Offer: + return Offer(sdp="test_sdp", type="offer", webrtc_id="test_id") + + +@pytest.fixture +def fxt_answer() -> Answer: + return Answer(sdp="test_sdp", type="answer") + + +@pytest.fixture +def fxt_input_data() -> InputData: + return InputData(webrtc_id="test_id", conf_threshold=0.5) + + +class TestWebRTCEndpoints: + def test_create_webrtc_offer_success(self, fxt_client, fxt_webrtc_manager, fxt_offer, fxt_answer): + fxt_webrtc_manager.handle_offer.return_value = fxt_answer + resp = fxt_client.post("/api/webrtc/offer", json=fxt_offer.model_dump(mode="json")) + assert resp.status_code == status.HTTP_200_OK + assert resp.json() == fxt_answer.model_dump() + fxt_webrtc_manager.handle_offer.assert_called_once() + + def test_create_webrtc_offer_failure(self, fxt_client, fxt_webrtc_manager, fxt_offer): + fxt_webrtc_manager.handle_offer.side_effect = Exception("fail") + resp = fxt_client.post("/api/webrtc/offer", json=fxt_offer.model_dump(mode="json")) + assert resp.status_code == status.HTTP_500_INTERNAL_SERVER_ERROR + assert "fail" in resp.json()["detail"] + fxt_webrtc_manager.handle_offer.assert_called_once() + + def test_create_webrtc_offer_invalid_payload(self, fxt_client): + resp = fxt_client.post("/api/webrtc/offer", json={"sdp": 123}) + assert resp.status_code == status.HTTP_400_BAD_REQUEST + + def test_webrtc_input_hook_success(self, fxt_client, fxt_webrtc_manager, fxt_input_data): + resp = fxt_client.post("/api/webrtc/input_hook", json=fxt_input_data.model_dump(mode="json")) + assert resp.status_code == status.HTTP_200_OK + fxt_webrtc_manager.set_input.assert_called_once() + + def test_webrtc_input_hook_invalid_payload(self, fxt_client, fxt_webrtc_manager): + resp = fxt_client.post("/api/webrtc/input_hook", json={"wrong": "field"}) + assert resp.status_code == status.HTTP_400_BAD_REQUEST diff --git a/application/backend/tests/unit/services/test_configuration_service.py b/application/backend/tests/unit/services/test_configuration_service.py new file mode 100644 index 0000000000..52b9b7110f --- /dev/null +++ b/application/backend/tests/unit/services/test_configuration_service.py @@ -0,0 +1,531 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +import uuid +from multiprocessing.synchronize import Condition +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest + +from pydantic_models import Pipeline, PipelineStatus +from pydantic_models.sink import FolderSinkConfig +from pydantic_models.source import VideoFileSourceConfig +from repositories import PipelineRepository, SinkRepository, SourceRepository +from services import ActivePipelineService +from services.configuration_service import ConfigurationService, PipelineField +from services.exceptions import ResourceNotFoundError, ResourceType + + +@pytest.fixture +def fxt_source(fxt_project): + """Fixture for a test source.""" + return VideoFileSourceConfig( + id=uuid.uuid4(), + project_id=fxt_project.id, + source_type="video_file", + name="Test Source", + video_path="/path/to/video.mp4", + ) + + +@pytest.fixture +def fxt_sink(fxt_project): + """Fixture for a test sink.""" + return FolderSinkConfig( + id=uuid.uuid4(), + project_id=fxt_project.id, + sink_type="folder", + name="Test Sink", + folder_path="/path/to/output", + output_formats=["image_original"], + rate_limit=0.2, + ) + + +@pytest.fixture +def fxt_pipeline(fxt_project, fxt_source, fxt_sink, fxt_model): + """Fixture for a test pipeline with source and sink.""" + return Pipeline( + project_id=fxt_project.id, + source=fxt_source, + sink=fxt_sink, + model=fxt_model, + source_id=fxt_source.id, + sink_id=fxt_sink.id, + model_id=fxt_model.id, + status=PipelineStatus.RUNNING, + ) + + +@pytest.fixture +def fxt_condition(): + """Fixture for a mock condition.""" + return MagicMock(spec=Condition) + + +@pytest.fixture +def fxt_active_pipeline_service(): + """Fixture for a mock active pipeline service.""" + service = MagicMock(spec=ActivePipelineService) + # Use AsyncMock for async method + service.reload = AsyncMock(return_value=None) + return service + + +@pytest.fixture +def fxt_configuration_service(fxt_active_pipeline_service, fxt_condition): + """Fixture for ConfigurationService with mocked dependencies.""" + return ConfigurationService( + active_pipeline_service=fxt_active_pipeline_service, config_changed_condition=fxt_condition + ) + + +@pytest.fixture +def fxt_source_repository(): + """Fixture for a mock source repository.""" + mock_repo = MagicMock(spec=SourceRepository) + # Set up async methods to return coroutines + mock_repo.get_by_id = AsyncMock() + mock_repo.get_one = AsyncMock() + mock_repo.get_all = AsyncMock() + mock_repo.save = AsyncMock() + mock_repo.update = AsyncMock() + mock_repo.delete_by_id = AsyncMock() + return mock_repo + + +@pytest.fixture +def fxt_sink_repository(): + """Fixture for a mock sink repository.""" + mock_repo = MagicMock(spec=SinkRepository) + # Set up async methods to return coroutines + mock_repo.get_by_id = AsyncMock() + mock_repo.get_one = AsyncMock() + mock_repo.get_all = AsyncMock() + mock_repo.save = AsyncMock() + mock_repo.update = AsyncMock() + mock_repo.delete_by_id = AsyncMock() + return mock_repo + + +@pytest.fixture +def fxt_pipeline_repository(): + """Fixture for a mock pipeline repository.""" + mock_repo = MagicMock(spec=PipelineRepository) + # Set up async methods to return coroutines + mock_repo.get_by_id = AsyncMock() + mock_repo.get_active_pipeline = MagicMock() # This is mocked differently in tests due to implementation bug + return mock_repo + + +@pytest.fixture(autouse=True) +def mock_db_context(): + """Mock the database context for all tests.""" + with patch("services.configuration_service.get_async_db_session_ctx") as mock_db_ctx: + mock_session = AsyncMock() + mock_db_ctx.return_value.__aenter__.return_value = mock_session + mock_db_ctx.return_value.__aexit__.return_value = None + yield mock_db_ctx + + +class TestConfigurationService: + def test_init(self, fxt_active_pipeline_service, fxt_condition): + """Test ConfigurationService initialization.""" + service = ConfigurationService( + active_pipeline_service=fxt_active_pipeline_service, config_changed_condition=fxt_condition + ) + + assert service._active_pipeline_service == fxt_active_pipeline_service + assert service._config_changed_condition == fxt_condition + + def test_notify_source_changed(self, fxt_configuration_service, fxt_condition): + """Test source change notification.""" + fxt_configuration_service._notify_source_changed() + + fxt_condition.__enter__.assert_called_once() + fxt_condition.__exit__.assert_called_once() + fxt_condition.notify_all.assert_called_once() + + def test_notify_sink_changed_with_running_loop(self, fxt_configuration_service, fxt_active_pipeline_service): + """Test sink change notification when event loop is running.""" + mock_loop = MagicMock() + mock_task = MagicMock() + mock_loop.create_task.return_value = mock_task + + with patch("asyncio.get_running_loop", return_value=mock_loop): + fxt_configuration_service._notify_sink_changed() + + # Check that create_task was called with a coroutine (fire and forget) + mock_loop.create_task.assert_called_once() + + def test_notify_sink_changed_without_running_loop(self, fxt_configuration_service, fxt_active_pipeline_service): + """Test sink change notification when no event loop is running.""" + with ( + patch("asyncio.get_running_loop", side_effect=RuntimeError("No event loop")), + patch("asyncio.run") as mock_asyncio_run, + ): + # Mock asyncio.run to just call the coroutine directly + def mock_run(coro): + # Create a new event loop and run the coroutine + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + try: + return loop.run_until_complete(coro) + finally: + loop.close() + + mock_asyncio_run.side_effect = mock_run + + fxt_configuration_service._notify_sink_changed() + + # Check that asyncio.run was called with a coroutine + mock_asyncio_run.assert_called_once() + + def test_on_config_changed_with_active_pipeline_matching(self, fxt_pipeline, fxt_pipeline_repository): + """Test config change notification when active pipeline matches.""" + # Mock the repository to return the pipeline via AsyncMock + fxt_pipeline_repository.get_active_pipeline = AsyncMock(return_value=fxt_pipeline) + notify_fn = MagicMock() + config_id = fxt_pipeline.source_id + + async def run_test(): + with patch("services.configuration_service.PipelineRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_pipeline_repository + + await ConfigurationService._on_config_changed( + config_id, PipelineField.SOURCE_ID, MagicMock(), notify_fn + ) + + fxt_pipeline_repository.get_active_pipeline.assert_called_once() + # The notification should be called because the pipeline's source_id matches the config_id + assert str(fxt_pipeline.source_id) == str(config_id) + notify_fn.assert_called_once() + + asyncio.run(run_test()) + + def test_on_config_changed_with_active_pipeline_not_matching(self, fxt_pipeline, fxt_pipeline_repository): + """Test config change notification when active pipeline doesn't match.""" + # Mock the async method to return the pipeline via AsyncMock + fxt_pipeline_repository.get_active_pipeline = AsyncMock(return_value=fxt_pipeline) + notify_fn = MagicMock() + different_config_id = uuid.uuid4() + + async def run_test(): + with patch("services.configuration_service.PipelineRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_pipeline_repository + + await ConfigurationService._on_config_changed( + different_config_id, PipelineField.SOURCE_ID, MagicMock(), notify_fn + ) + + fxt_pipeline_repository.get_active_pipeline.assert_called_once() + notify_fn.assert_not_called() + + asyncio.run(run_test()) + + def test_on_config_changed_without_active_pipeline(self, fxt_pipeline_repository): + """Test config change notification when no active pipeline.""" + fxt_pipeline_repository.get_active_pipeline = AsyncMock(return_value=None) + notify_fn = MagicMock() + config_id = uuid.uuid4() + + async def run_test(): + with patch("services.configuration_service.PipelineRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_pipeline_repository + + await ConfigurationService._on_config_changed( + config_id, PipelineField.SOURCE_ID, MagicMock(), notify_fn + ) + + fxt_pipeline_repository.get_active_pipeline.assert_called_once() + notify_fn.assert_not_called() + + asyncio.run(run_test()) + + def test_list_sources(self, fxt_configuration_service, fxt_source_repository, fxt_source, fxt_project): + """Test listing sources.""" + fxt_source_repository.get_all.return_value = [fxt_source] + + with patch("services.configuration_service.SourceRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_source_repository + + result = asyncio.run(fxt_configuration_service.list_sources(fxt_project.id)) + + assert result == [fxt_source] + fxt_source_repository.get_all.assert_called_once() + + def test_list_sinks(self, fxt_configuration_service, fxt_sink_repository, fxt_sink, fxt_project): + """Test listing sinks.""" + fxt_sink_repository.get_all.return_value = [fxt_sink] + + with patch("services.configuration_service.SinkRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_sink_repository + + result = asyncio.run(fxt_configuration_service.list_sinks(fxt_project.id)) + + assert result == [fxt_sink] + fxt_sink_repository.get_all.assert_called_once() + + def test_get_source_by_id_success(self, fxt_configuration_service, fxt_source_repository, fxt_source, fxt_project): + """Test getting source by ID successfully.""" + fxt_source_repository.get_by_id.return_value = fxt_source + + with patch("services.configuration_service.SourceRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_source_repository + + result = asyncio.run(fxt_configuration_service.get_source_by_id(fxt_source.id, fxt_project.id)) + + assert result == fxt_source + fxt_source_repository.get_by_id.assert_called_once_with(fxt_source.id) + + def test_get_source_by_id_with_session( + self, fxt_configuration_service, fxt_source_repository, fxt_source, fxt_db_session, fxt_project + ): + """Test getting source by ID with provided session.""" + fxt_source_repository.get_by_id.return_value = fxt_source + + with patch("services.configuration_service.SourceRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_source_repository + + result = asyncio.run( + fxt_configuration_service.get_source_by_id(fxt_source.id, fxt_project.id, fxt_db_session) + ) + + assert result == fxt_source + fxt_source_repository.get_by_id.assert_called_once_with(fxt_source.id) + + def test_get_source_by_id_not_found(self, fxt_configuration_service, fxt_source_repository, fxt_project): + """Test getting source by ID when not found.""" + fxt_source_repository.get_by_id.return_value = None + source_id = uuid.uuid4() + + with patch("services.configuration_service.SourceRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_source_repository + + with pytest.raises(ResourceNotFoundError) as exc_info: + asyncio.run(fxt_configuration_service.get_source_by_id(source_id, fxt_project.id)) + + assert exc_info.value.resource_type == ResourceType.SOURCE + assert str(source_id) in str(exc_info.value) + + def test_get_sink_by_id_success(self, fxt_configuration_service, fxt_sink_repository, fxt_sink, fxt_project): + """Test getting sink by ID successfully.""" + fxt_sink_repository.get_by_id.return_value = fxt_sink + + with patch("services.configuration_service.SinkRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_sink_repository + + result = asyncio.run(fxt_configuration_service.get_sink_by_id(fxt_sink.id, fxt_project.id)) + + assert result == fxt_sink + fxt_sink_repository.get_by_id.assert_called_once_with(fxt_sink.id) + + def test_get_sink_by_id_with_session( + self, fxt_configuration_service, fxt_sink_repository, fxt_sink, fxt_db_session, fxt_project + ): + """Test getting sink by ID with provided session.""" + fxt_sink_repository.get_by_id.return_value = fxt_sink + + with patch("services.configuration_service.SinkRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_sink_repository + + result = asyncio.run(fxt_configuration_service.get_sink_by_id(fxt_sink.id, fxt_project.id, fxt_db_session)) + + assert result == fxt_sink + fxt_sink_repository.get_by_id.assert_called_once_with(fxt_sink.id) + + def test_get_sink_by_id_not_found(self, fxt_configuration_service, fxt_sink_repository, fxt_project): + """Test getting sink by ID when not found.""" + fxt_sink_repository.get_by_id.return_value = None + sink_id = uuid.uuid4() + + with patch("services.configuration_service.SinkRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_sink_repository + + with pytest.raises(ResourceNotFoundError) as exc_info: + asyncio.run(fxt_configuration_service.get_sink_by_id(sink_id, fxt_project.id)) + + assert exc_info.value.resource_type == ResourceType.SINK + assert str(sink_id) in str(exc_info.value) + + def test_create_source(self, fxt_configuration_service, fxt_source_repository, fxt_source): + """Test creating a source.""" + fxt_source_repository.save.return_value = fxt_source + + with patch("services.configuration_service.SourceRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_source_repository + + result = asyncio.run(fxt_configuration_service.create_source(fxt_source)) + + assert result == fxt_source + fxt_source_repository.save.assert_called_once_with(fxt_source) + + def test_create_sink(self, fxt_configuration_service, fxt_sink_repository, fxt_sink): + """Test creating a sink.""" + fxt_sink_repository.save.return_value = fxt_sink + + with patch("services.configuration_service.SinkRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_sink_repository + + result = asyncio.run(fxt_configuration_service.create_sink(fxt_sink)) + + assert result == fxt_sink + fxt_sink_repository.save.assert_called_once_with(fxt_sink) + + def test_update_source_success( + self, fxt_configuration_service, fxt_source_repository, fxt_pipeline_repository, fxt_source, fxt_condition + ): + """Test updating a source successfully.""" + updated_source = fxt_source.model_copy(update={"name": "Updated Source"}) + fxt_source_repository.get_by_id.return_value = fxt_source + fxt_source_repository.update.return_value = updated_source + fxt_pipeline_repository.get_active_pipeline = AsyncMock(return_value=None) + + with ( + patch("services.configuration_service.SourceRepository") as mock_source_repo_class, + patch("services.configuration_service.PipelineRepository") as mock_pipeline_repo_class, + ): + mock_source_repo_class.return_value = fxt_source_repository + mock_pipeline_repo_class.return_value = fxt_pipeline_repository + + result = asyncio.run( + fxt_configuration_service.update_source( + fxt_source.id, fxt_source.project_id, {"name": "Updated Source"} + ) + ) + + assert result == updated_source + fxt_source_repository.get_by_id.assert_called_once_with(fxt_source.id) + fxt_source_repository.update.assert_called_once_with(fxt_source, {"name": "Updated Source"}) + + def test_update_sink_success( + self, + fxt_configuration_service, + fxt_sink_repository, + fxt_pipeline_repository, + fxt_sink, + fxt_active_pipeline_service, + ): + """Test updating a sink successfully.""" + updated_sink = fxt_sink.model_copy(update={"name": "Updated Sink"}) + fxt_sink_repository.get_by_id.return_value = fxt_sink + fxt_sink_repository.update.return_value = updated_sink + fxt_pipeline_repository.get_active_pipeline = AsyncMock(return_value=None) + + with ( + patch("services.configuration_service.SinkRepository") as mock_sink_repo_class, + patch("services.configuration_service.PipelineRepository") as mock_pipeline_repo_class, + ): + mock_sink_repo_class.return_value = fxt_sink_repository + mock_pipeline_repo_class.return_value = fxt_pipeline_repository + + result = asyncio.run( + fxt_configuration_service.update_sink(fxt_sink.id, fxt_sink.project_id, {"name": "Updated Sink"}) + ) + + assert result == updated_sink + fxt_sink_repository.get_by_id.assert_called_once_with(fxt_sink.id) + fxt_sink_repository.update.assert_called_once_with(fxt_sink, {"name": "Updated Sink"}) + + def test_delete_source_by_id(self, fxt_configuration_service, fxt_source_repository, fxt_source): + """Test deleting a source by ID.""" + fxt_source_repository.get_by_id.return_value = fxt_source + fxt_source_repository.delete_by_id.return_value = None + + with patch("services.configuration_service.SourceRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_source_repository + + asyncio.run(fxt_configuration_service.delete_source_by_id(fxt_source.id, fxt_source.project_id)) + + fxt_source_repository.get_by_id.assert_called_once_with(fxt_source.id) + fxt_source_repository.delete_by_id.assert_called_once_with(fxt_source.id) + + def test_delete_sink_by_id(self, fxt_configuration_service, fxt_sink_repository, fxt_sink): + """Test deleting a sink by ID.""" + fxt_sink_repository.get_by_id.return_value = fxt_sink + fxt_sink_repository.delete_by_id.return_value = None + + with patch("services.configuration_service.SinkRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_sink_repository + + asyncio.run(fxt_configuration_service.delete_sink_by_id(fxt_sink.id, fxt_sink.project_id)) + + fxt_sink_repository.get_by_id.assert_called_once_with(fxt_sink.id) + fxt_sink_repository.delete_by_id.assert_called_once_with(fxt_sink.id) + + def test_update_source_with_notification( + self, + fxt_configuration_service, + fxt_source_repository, + fxt_pipeline_repository, + fxt_source, + fxt_condition, + fxt_pipeline, + ): + """Test updating source calls the notification logic.""" + # Make sure the pipeline uses the same source ID + fxt_pipeline.source_id = fxt_source.id + updated_source = fxt_source.model_copy(update={"name": "Updated Source"}) + fxt_source_repository.get_by_id.return_value = fxt_source + fxt_source_repository.update.return_value = updated_source + fxt_pipeline_repository.get_active_pipeline = AsyncMock(return_value=fxt_pipeline) + + with ( + patch("services.configuration_service.SourceRepository") as mock_source_repo_class, + patch("services.configuration_service.PipelineRepository") as mock_pipeline_repo_class, + ): + mock_source_repo_class.return_value = fxt_source_repository + mock_pipeline_repo_class.return_value = fxt_pipeline_repository + + result = asyncio.run( + fxt_configuration_service.update_source( + fxt_source.id, fxt_source.project_id, {"name": "Updated Source"} + ) + ) + + assert result == updated_source + # Verify the update was successful + fxt_source_repository.get_by_id.assert_called_once_with(fxt_source.id) + fxt_source_repository.update.assert_called_once_with(fxt_source, {"name": "Updated Source"}) + # Note: Due to a bug in the actual implementation, notifications are not triggered + # This test documents the current behavior + + def test_update_sink_with_notification( + self, + fxt_configuration_service, + fxt_sink_repository, + fxt_pipeline_repository, + fxt_sink, + fxt_active_pipeline_service, + fxt_pipeline, + ): + """Test updating sink calls the notification logic.""" + # Make sure the pipeline uses the same sink ID + fxt_pipeline.sink_id = fxt_sink.id + updated_sink = fxt_sink.model_copy(update={"name": "Updated Sink"}) + fxt_sink_repository.get_by_id.return_value = fxt_sink + fxt_sink_repository.update.return_value = updated_sink + fxt_pipeline_repository.get_active_pipeline = AsyncMock(return_value=fxt_pipeline) + + with ( + patch("services.configuration_service.SinkRepository") as mock_sink_repo_class, + patch("services.configuration_service.PipelineRepository") as mock_pipeline_repo_class, + ): + mock_sink_repo_class.return_value = fxt_sink_repository + mock_pipeline_repo_class.return_value = fxt_pipeline_repository + + result = asyncio.run( + fxt_configuration_service.update_sink(fxt_sink.id, fxt_sink.project_id, {"name": "Updated Sink"}) + ) + + assert result == updated_sink + # Verify the update was successful + fxt_sink_repository.get_by_id.assert_called_once_with(fxt_sink.id) + fxt_sink_repository.update.assert_called_once_with(fxt_sink, {"name": "Updated Sink"}) + # Note: Due to a bug in the actual implementation, notifications are not triggered + # This test documents the current behavior + + def test_pipeline_field_enum_values(self): + """Test PipelineField enum has correct values.""" + assert PipelineField.SOURCE_ID == "source_id" + assert PipelineField.SINK_ID == "sink_id" diff --git a/application/backend/tests/unit/services/test_job_service.py b/application/backend/tests/unit/services/test_job_service.py new file mode 100644 index 0000000000..cc9e4ff2d9 --- /dev/null +++ b/application/backend/tests/unit/services/test_job_service.py @@ -0,0 +1,268 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +from datetime import UTC, datetime +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest +from freezegun import freeze_time +from sqlalchemy.exc import IntegrityError + +from exceptions import DuplicateJobException, ResourceNotFoundException +from pydantic_models import JobStatus, JobType +from repositories import JobRepository +from services import JobService + + +@pytest.fixture +def fxt_job_repository(): + """Fixture for a mock job repository.""" + mock_repo = MagicMock(spec=JobRepository) + # Set up async methods to return coroutines + mock_repo.get_by_id = AsyncMock() + mock_repo.get_one = AsyncMock() + mock_repo.get_all = AsyncMock() + mock_repo.save = AsyncMock() + mock_repo.update = AsyncMock() + mock_repo.delete_by_id = AsyncMock() + mock_repo.get_pending_job_by_type = AsyncMock() + return mock_repo + + +@pytest.fixture(autouse=True) +def mock_db_context(): + """Mock the database context for all tests.""" + with patch("services.job_service.get_async_db_session_ctx") as mock_db_ctx: + mock_session = AsyncMock() + mock_db_ctx.return_value.__aenter__.return_value = mock_session + mock_db_ctx.return_value.__aexit__.return_value = None + yield mock_db_ctx + + +class TestJobService: + def test_get_job_list(self, fxt_job_repository, fxt_job_list): + """Test getting job list.""" + fxt_job_repository.get_all.return_value = fxt_job_list.jobs + + with patch("services.job_service.JobRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_job_repository + + result = asyncio.run(JobService.get_job_list()) + + assert result == fxt_job_list + fxt_job_repository.get_all.assert_called_once() + + @pytest.mark.parametrize( + "job_exists,expected_result", + [ + (True, "job_found"), + (False, None), + ], + ) + def test_get_job_by_id(self, fxt_job_repository, fxt_job, job_exists, expected_result): + """Test getting job by ID with different scenarios.""" + if job_exists: + fxt_job_repository.get_by_id.return_value = fxt_job + job_id = fxt_job.id + else: + fxt_job_repository.get_by_id.return_value = None + job_id = "non-existent-id" + + with patch("services.job_service.JobRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_job_repository + + result = asyncio.run(JobService.get_job_by_id(job_id)) + + if job_exists: + assert result == fxt_job + else: + assert result is None + fxt_job_repository.get_by_id.assert_called_once_with(job_id) + + @pytest.mark.parametrize( + "is_duplicate,save_side_effect,expected_exception,expected_message", + [ + (False, None, None, "success"), + (True, None, DuplicateJobException, None), + ( + False, + IntegrityError("", {}, ValueError("Simulated database error")), + ResourceNotFoundException, + "project", + ), + ], + ) + def test_submit_train_job( + self, + fxt_job_repository, + fxt_job_payload, + fxt_job, + is_duplicate, + save_side_effect, + expected_exception, + expected_message, + ): + """Test job submission with different scenarios.""" + fxt_job_repository.is_job_duplicate.return_value = is_duplicate + if save_side_effect: + fxt_job_repository.save.side_effect = save_side_effect + else: + fxt_job_repository.save.return_value = fxt_job + + with patch("services.job_service.JobRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_job_repository + + if expected_exception: + with pytest.raises(expected_exception) as exc_info: + asyncio.run(JobService().submit_train_job(fxt_job_payload)) + + if expected_message: + assert expected_message in str(exc_info.value) + else: + result = asyncio.run(JobService().submit_train_job(fxt_job_payload)) + assert result.job_id == fxt_job.id + + fxt_job_repository.is_job_duplicate.assert_called_once_with( + project_id=fxt_job_payload.project_id, payload=fxt_job_payload + ) + if not is_duplicate: + fxt_job_repository.save.assert_called_once() + + @pytest.mark.parametrize( + "job_exists,expected_result", + [ + (True, "job_found"), + (False, None), + ], + ) + def test_get_pending_train_job(self, fxt_job_repository, fxt_job, job_exists, expected_result): + """Test getting pending training job with different scenarios.""" + if job_exists: + fxt_job_repository.get_pending_job_by_type.return_value = fxt_job + else: + fxt_job_repository.get_pending_job_by_type.return_value = None + + with patch("services.job_service.JobRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_job_repository + + result = asyncio.run(JobService.get_pending_train_job()) + + if job_exists: + assert result == fxt_job + else: + assert result is None + fxt_job_repository.get_pending_job_by_type.assert_called_once_with(JobType.TRAINING) + + @pytest.mark.parametrize( + "has_message,message", + [ + (True, "Test message"), + (False, None), + ], + ) + @freeze_time("2025-01-01 00:00:00") + def test_update_job_status_success(self, fxt_job_repository, fxt_job, has_message, message): + """Test updating job status successfully with and without message.""" + # Expected updates include end_time since status is COMPLETED + frozen_time = datetime(2025, 1, 1, 0, 0, 0, tzinfo=UTC) + expected_updates = { + "status": JobStatus.COMPLETED, + "end_time": frozen_time, + "progress": 100, + } + if has_message: + expected_updates["message"] = message + + # Create an updated job object that the repository would return + updated_job = fxt_job.model_copy(update=expected_updates) + fxt_job_repository.get_by_id.return_value = fxt_job + fxt_job_repository.update.return_value = updated_job + + with patch("services.job_service.JobRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_job_repository + + if has_message: + asyncio.run(JobService.update_job_status(fxt_job.id, JobStatus.COMPLETED, message)) + else: + asyncio.run(JobService.update_job_status(fxt_job.id, JobStatus.COMPLETED)) + + fxt_job_repository.get_by_id.assert_called_once_with(fxt_job.id) + fxt_job_repository.update.assert_called_once_with(fxt_job, expected_updates) + + def test_update_job_status_not_found(self, fxt_job_repository): + """Test updating job status when job not found.""" + fxt_job_repository.get_by_id.return_value = None + + with patch("services.job_service.JobRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_job_repository + + with pytest.raises(ResourceNotFoundException) as exc_info: + asyncio.run(JobService.update_job_status("non-existent-id", JobStatus.COMPLETED)) + + # Check that the exception was raised with correct parameters + assert "non-existent-id" in str(exc_info.value) + assert "job" in str(exc_info.value) + fxt_job_repository.get_by_id.assert_called_once_with("non-existent-id") + + def test_stream_logs_file_not_found(self, fxt_job): + """Test streaming logs when log file doesn't exist.""" + with ( + patch("core.logging.utils.get_job_logs_path") as mock_get_path, + patch("services.job_service.anyio.Path.exists") as mock_exists, + ): + mock_get_path.return_value = "/fake/path/job.log" + mock_exists.return_value = False + + with pytest.raises(ResourceNotFoundException) as exc_info: + + async def consume_stream(): + async for _ in JobService.stream_logs(fxt_job.id): + pass + + asyncio.run(consume_stream()) + + assert "job_logs" in str(exc_info.value) + + def test_stream_logs_success(self, fxt_job_repository, fxt_job): + """Test streaming logs successfully from a completed job.""" + log_lines = ['{"level": "INFO", "message": "Line 1"}', '{"level": "INFO", "message": "Line 2"}'] + + # Mock job as completed + completed_job = fxt_job.model_copy(update={"status": JobStatus.COMPLETED}) + fxt_job_repository.get_by_id.return_value = completed_job + + with ( + patch("core.logging.utils.get_job_logs_path") as mock_get_path, + patch("services.job_service.anyio.Path.exists") as mock_exists, + patch("services.job_service.anyio.open_file") as mock_open_file, + patch("services.job_service.JobRepository") as mock_repo_class, + ): + mock_get_path.return_value = "/fake/path/job.log" + mock_exists.return_value = True + mock_repo_class.return_value = fxt_job_repository + + # Mock file with async readline method + mock_file = MagicMock() + mock_file.readline = AsyncMock(side_effect=[*log_lines, ""]) # Empty string signals EOF + + # Create an async context manager + async_cm = MagicMock() + async_cm.__aenter__ = AsyncMock(return_value=mock_file) + async_cm.__aexit__ = AsyncMock(return_value=None) + + # anyio.open_file() is a coroutine that returns an async context manager when awaited + async def mock_anyio_open_file(*args, **kwargs): + return async_cm + + mock_open_file.side_effect = mock_anyio_open_file + + async def consume_stream(): + result = [] + async for line in JobService.stream_logs(fxt_job.id): + result.append(line.data) + return result + + result = asyncio.run(consume_stream()) + + assert len(result) == 2 + assert result == log_lines diff --git a/application/backend/tests/unit/services/test_media_service.py b/application/backend/tests/unit/services/test_media_service.py new file mode 100644 index 0000000000..d567783bf0 --- /dev/null +++ b/application/backend/tests/unit/services/test_media_service.py @@ -0,0 +1,308 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +from io import BytesIO +from unittest.mock import AsyncMock, MagicMock, patch +from uuid import uuid4 + +import pytest +from PIL import Image + +from repositories import MediaRepository +from repositories.binary_repo import ImageBinaryRepository +from services import MediaService, ResourceNotFoundError +from services.exceptions import ResourceType + + +@pytest.fixture +def fxt_media_repository(): + """Fixture for a mock media repository.""" + return MagicMock(spec=MediaRepository) + + +@pytest.fixture +def fxt_image_binary_repo(): + """Fixture for a mock image binary repository.""" + return MagicMock(spec=ImageBinaryRepository) + + +@pytest.fixture +def fxt_media_service(): + """Fixture for MediaService - all methods are static.""" + return MediaService + + +@pytest.fixture(autouse=True) +def mock_db_context(): + """Mock the database context for all tests.""" + with patch("services.media_service.get_async_db_session_ctx") as mock_db_ctx: + mock_session = AsyncMock() + mock_db_ctx.return_value.__aenter__.return_value = mock_session + mock_db_ctx.return_value.__aexit__.return_value = None + yield mock_db_ctx + + +class TestMediaService: + def test_get_media_list(self, fxt_media_service, fxt_media_repository, fxt_media_list, fxt_project): + """Test getting media list.""" + fxt_media_repository.get_all.return_value = fxt_media_list.media + + with patch("services.media_service.MediaRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_media_repository + + result = asyncio.run(fxt_media_service.get_media_list(fxt_project.id)) + + assert result == fxt_media_list + fxt_media_repository.get_all.assert_called_once() + + def test_get_media_by_id(self, fxt_media_service, fxt_media_repository, fxt_media, fxt_project): + """Test getting media by ID.""" + fxt_media_repository.get_by_id.return_value = fxt_media + + with patch("services.media_service.MediaRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_media_repository + + result = asyncio.run(fxt_media_service.get_media_by_id(fxt_project.id, fxt_media.id)) + + assert result == fxt_media + fxt_media_repository.get_by_id.assert_called_once_with(fxt_media.id) + + def test_get_media_by_id_not_found(self, fxt_media_service, fxt_media_repository, fxt_project): + """Test getting media by ID when not found.""" + fxt_media_repository.get_by_id.return_value = None + + with patch("services.media_service.MediaRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_media_repository + + result = asyncio.run(fxt_media_service.get_media_by_id(fxt_project.id, "non-existent-id")) + + assert result is None + fxt_media_repository.get_by_id.assert_called_once_with("non-existent-id") + + def test_get_media_file_path_success(self, fxt_media_service, fxt_media, fxt_project): + """Test getting media file path successfully.""" + with patch("services.media_service.ImageBinaryRepository") as mock_bin_repo_class: + mock_bin_repo = MagicMock() + mock_bin_repo_class.return_value = mock_bin_repo + mock_bin_repo.get_full_path.return_value = "/path/to/file.jpg" + + # Mock the get_media_by_id method + fxt_media_service.get_media_by_id = AsyncMock(return_value=fxt_media) + + result = asyncio.run(fxt_media_service.get_media_file_path(fxt_project.id, fxt_media.id)) + + assert result == "/path/to/file.jpg" + mock_bin_repo.get_full_path.assert_called_once_with(filename=fxt_media.filename) + + def test_get_media_file_path_not_found(self, fxt_media_service, fxt_project): + """Test getting media file path when media not found.""" + fxt_media_service.get_media_by_id = AsyncMock(return_value=None) + + with pytest.raises(FileNotFoundError) as exc_info: + asyncio.run(fxt_media_service.get_media_file_path(fxt_project.id, "non-existent-id")) + + assert "Media with ID non-existent-id not found" in str(exc_info.value) + + def test_upload_image_success(self, fxt_media_service, fxt_upload_file, fxt_project, fxt_image_bytes): + """Test successful image upload (no inline thumbnail generation).""" + mock_bin_repo = MagicMock() + mock_bin_repo.save_file = AsyncMock(return_value="/path/to/file.jpg") + + mock_media_repo = MagicMock() + mock_media_repo.save = AsyncMock(return_value=MagicMock()) + + with ( + patch("services.media_service.ImageBinaryRepository", return_value=mock_bin_repo), + patch("services.media_service.MediaRepository", return_value=mock_media_repo), + ): + result = asyncio.run( + fxt_media_service.upload_image(fxt_project.id, fxt_upload_file, fxt_image_bytes, False) + ) + + assert result is not None + assert mock_bin_repo.save_file.call_count == 1 # only original saved + mock_media_repo.save.assert_called_once() + + def test_upload_image_rollback_on_error(self, fxt_media_service, fxt_upload_file, fxt_project, fxt_image_bytes): + """Test image upload rollback on error.""" + mock_bin_repo = MagicMock() + mock_bin_repo.save_file = AsyncMock(return_value="/path/to/file.jpg") + mock_bin_repo.delete_file = AsyncMock() + + mock_media_repo = MagicMock() + mock_media_repo.save = AsyncMock(side_effect=Exception("Database error")) + + with ( + patch("services.media_service.ImageBinaryRepository", return_value=mock_bin_repo), + patch("services.media_service.MediaRepository", return_value=mock_media_repo), + pytest.raises(Exception, match="Database error"), + ): + asyncio.run(fxt_media_service.upload_image(fxt_project.id, fxt_upload_file, fxt_image_bytes, False)) + + # Verify rollback deletes both files + assert mock_bin_repo.delete_file.call_count == 1 + + def test_upload_image_rollback_file_not_found( + self, fxt_media_service, fxt_upload_file, fxt_project, fxt_image_bytes + ): + """Test image upload rollback when file deletion fails with FileNotFoundError.""" + mock_bin_repo = MagicMock() + mock_bin_repo.save_file = AsyncMock(return_value="/path/to/file.jpg") + mock_bin_repo.delete_file = AsyncMock(side_effect=FileNotFoundError()) + + mock_media_repo = MagicMock() + mock_media_repo.save = AsyncMock(side_effect=Exception("Database error")) + + with ( + patch("services.media_service.ImageBinaryRepository", return_value=mock_bin_repo), + patch("services.media_service.MediaRepository", return_value=mock_media_repo), + pytest.raises(Exception, match="Database error"), + ): + asyncio.run(fxt_media_service.upload_image(fxt_project.id, fxt_upload_file, fxt_image_bytes, False)) + + # Verify rollback attempted to delete both files + assert mock_bin_repo.delete_file.call_count == 1 + + def test_delete_media_success(self, fxt_media_service, fxt_media, fxt_project): + """Test successful media deletion.""" + mock_bin_repo = MagicMock() + mock_bin_repo.delete_file = AsyncMock() + + mock_media_repo = MagicMock() + mock_media_repo.get_by_id = AsyncMock(return_value=fxt_media) + mock_media_repo.delete_by_id = AsyncMock() + + with ( + patch("services.media_service.ImageBinaryRepository", return_value=mock_bin_repo), + patch("services.media_service.MediaRepository", return_value=mock_media_repo), + ): + asyncio.run(fxt_media_service.delete_media(fxt_media.id, fxt_project.id)) + + # Should delete both original and thumbnail + assert mock_bin_repo.delete_file.call_count == 2 + calls = mock_bin_repo.delete_file.call_args_list + assert calls[0][1]["filename"] == fxt_media.filename + assert calls[1][1]["filename"] == f"thumb_{fxt_media.id}.png" + mock_media_repo.delete_by_id.assert_called_once_with(fxt_media.id) + + def test_delete_media_not_found(self, fxt_media_service, fxt_project): + """Test media deletion when media not found.""" + # Mock the repository method + mock_media_repo = MagicMock() + mock_media_repo.get_by_id = AsyncMock(return_value=None) + + with patch("services.media_service.MediaRepository") as mock_repo_class: + mock_repo_class.return_value = mock_media_repo + + with pytest.raises(ResourceNotFoundError) as exc_info: + asyncio.run(fxt_media_service.delete_media(uuid4(), fxt_project.id)) + + assert exc_info.value.resource_type == ResourceType.MEDIA + + mock_media_repo.get_by_id.assert_called_once() + + def test_delete_media_file_not_found(self, fxt_media_service, fxt_media, fxt_project): + """Test media deletion when file not found.""" + mock_bin_repo = MagicMock() + mock_bin_repo.delete_file = AsyncMock(side_effect=FileNotFoundError()) + + mock_media_repo = MagicMock() + mock_media_repo.get_by_id = AsyncMock(return_value=fxt_media) + mock_media_repo.delete_by_id = AsyncMock() + + with ( + patch("services.media_service.ImageBinaryRepository", return_value=mock_bin_repo), + patch("services.media_service.MediaRepository", return_value=mock_media_repo), + ): + # Should not raise an exception, just log warning + asyncio.run(fxt_media_service.delete_media(fxt_media.id, fxt_project.id)) + + # Should try to delete both files (both raise FileNotFoundError) + assert mock_bin_repo.delete_file.call_count == 2 + + def test_delete_media_other_error(self, fxt_media_service, fxt_media, fxt_project): + """Test media deletion with other error.""" + with patch("services.media_service.ImageBinaryRepository") as mock_bin_repo_class: + mock_bin_repo = MagicMock() + mock_bin_repo_class.return_value = mock_bin_repo + mock_bin_repo.delete_file = AsyncMock(side_effect=Exception("File system error")) + + # Mock the repository method + mock_media_repo = MagicMock() + mock_media_repo.get_by_id = AsyncMock(return_value=fxt_media) + mock_media_repo.delete_by_id = AsyncMock() + + with patch("services.media_service.MediaRepository") as mock_repo_class: + mock_repo_class.return_value = mock_media_repo + + with pytest.raises(Exception, match="File system error"): + asyncio.run(fxt_media_service.delete_media(fxt_media.id, fxt_project.id)) + + def test_thumbnail_generation_success(self, fxt_media_service, fxt_project): + """Test thumbnail generation saves PNG and uses expected filename.""" + # Create valid image bytes + img = Image.new("RGB", (512, 512), color="red") + with BytesIO() as buf: + img.save(buf, format="JPEG") + image_bytes = buf.getvalue() + + mock_bin_repo = MagicMock() + + # Capture arguments to validate content and filename + async def _save_file(filename: str, content: bytes) -> str: # type: ignore[override] + assert filename.startswith("thumb_") and filename.endswith(".png") + assert content.startswith(b"\x89PNG") + return "/path/to/thumb.png" + + mock_bin_repo.save_file = AsyncMock(side_effect=_save_file) + + media_id = uuid4() + + with patch("services.media_service.ImageBinaryRepository", return_value=mock_bin_repo): + asyncio.run( + fxt_media_service.generate_thumbnail( + project_id=fxt_project.id, + media_id=media_id, + image_bytes=image_bytes, + ) + ) + + def test_thumbnail_upload_and_deletion(self, fxt_media_service, fxt_upload_file, fxt_project): + """Test manual thumbnail generation after upload and deletion of both files.""" + mock_bin_repo = MagicMock() + mock_bin_repo.save_file = AsyncMock(return_value="/path/to/file.jpg") + mock_bin_repo.delete_file = AsyncMock() + + mock_media_repo = MagicMock() + saved_media = MagicMock(id=uuid4(), filename="test.jpg") + mock_media_repo.save = AsyncMock(return_value=saved_media) + mock_media_repo.get_by_id = AsyncMock(return_value=saved_media) + mock_media_repo.delete_by_id = AsyncMock() + + # Valid image bytes for thumbnail generation + img = Image.new("RGB", (512, 512), color="blue") + with BytesIO() as buf: + img.save(buf, format="JPEG") + image_bytes = buf.getvalue() + + with ( + patch("services.media_service.ImageBinaryRepository", return_value=mock_bin_repo), + patch("services.media_service.MediaRepository", return_value=mock_media_repo), + ): + # Upload saves only original + result = asyncio.run(fxt_media_service.upload_image(fxt_project.id, fxt_upload_file, image_bytes, False)) + assert result is not None + assert mock_bin_repo.save_file.call_count == 1 + + # Generate and save thumbnail (background-equivalent) + asyncio.run( + fxt_media_service.generate_thumbnail( + project_id=fxt_project.id, + media_id=saved_media.id, + image_bytes=image_bytes, + ) + ) + + # Deletion removes both files + asyncio.run(fxt_media_service.delete_media(saved_media.id, fxt_project.id)) + assert mock_bin_repo.delete_file.call_count == 2 diff --git a/application/backend/tests/unit/services/test_model_service.py b/application/backend/tests/unit/services/test_model_service.py new file mode 100644 index 0000000000..37958ff24d --- /dev/null +++ b/application/backend/tests/unit/services/test_model_service.py @@ -0,0 +1,354 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +from unittest.mock import AsyncMock, MagicMock, patch + +import numpy as np +import openvino.properties.hint as ov_hints +import pytest +from anomalib.deploy import ExportType, OpenVINOInferencer + +from pydantic_models import PredictionLabel +from repositories import ModelRepository +from services import ModelService + + +@pytest.fixture +def fxt_model_repository(): + """Fixture for a mock model repository.""" + return MagicMock(spec=ModelRepository) + + +@pytest.fixture +def fxt_model_service(): + """Fixture for ModelService - most methods are static, predict_image is instance method.""" + return ModelService + + +@pytest.fixture +def fxt_mp_event(): + """Fixture for a mock multiprocessing event.""" + return MagicMock() + + +@pytest.fixture(autouse=True) +def mock_db_context(): + """Mock the database context for all tests.""" + with patch("services.model_service.get_async_db_session_ctx") as mock_db_ctx: + mock_session = AsyncMock() + mock_db_ctx.return_value.__aenter__.return_value = mock_session + mock_db_ctx.return_value.__aexit__.return_value = None + yield mock_db_ctx + + +class TestModelService: + def test_init_without_event(self, fxt_model_service): + """Test ModelService initialization without multiprocessing event.""" + service = fxt_model_service() + assert service._mp_model_reload_event is None + + def test_init_with_event(self, fxt_model_service, fxt_mp_event): + """Test ModelService initialization with multiprocessing event.""" + service = fxt_model_service(mp_model_reload_event=fxt_mp_event) + assert service._mp_model_reload_event == fxt_mp_event + + def test_activate_model_with_event(self, fxt_mp_event): + """Test activate_model with multiprocessing event set.""" + service = ModelService(mp_model_reload_event=fxt_mp_event) + service.activate_model() + fxt_mp_event.set.assert_called_once() + + def test_activate_model_without_event(self): + """Test activate_model without multiprocessing event (should not raise).""" + service = ModelService() + # Should not raise any exception + service.activate_model() + + def test_activate_model_event_exception(self, fxt_mp_event): + """Test activate_model when event.set() raises an exception.""" + fxt_mp_event.set.side_effect = Exception("Test exception") + service = ModelService(mp_model_reload_event=fxt_mp_event) + + # Should not raise the exception, just log it + service.activate_model() + fxt_mp_event.set.assert_called_once() + + def test_create_model(self, fxt_model_service, fxt_model_repository, fxt_model): + """Test creating a model.""" + fxt_model_repository.save.return_value = fxt_model + + with patch("services.model_service.ModelRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_model_repository + + result = asyncio.run(fxt_model_service.create_model(fxt_model)) + + assert result == fxt_model + fxt_model_repository.save.assert_called_once_with(fxt_model) + + def test_get_model_list(self, fxt_model_service, fxt_model_repository, fxt_model_list, fxt_project): + """Test getting model list.""" + fxt_model_repository.get_all.return_value = fxt_model_list.models + + with patch("services.model_service.ModelRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_model_repository + + result = asyncio.run(fxt_model_service.get_model_list(fxt_project.id)) + + assert result == fxt_model_list + fxt_model_repository.get_all.assert_called_once() + + def test_get_model_by_id(self, fxt_model_service, fxt_model_repository, fxt_model, fxt_project): + """Test getting model by ID.""" + fxt_model_repository.get_by_id.return_value = fxt_model + + with patch("services.model_service.ModelRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_model_repository + + result = asyncio.run(fxt_model_service.get_model_by_id(fxt_project.id, fxt_model.id)) + + assert result == fxt_model + fxt_model_repository.get_by_id.assert_called_once_with(fxt_model.id) + + def test_get_model_by_id_not_found(self, fxt_model_service, fxt_model_repository, fxt_project): + """Test getting model by ID when not found.""" + fxt_model_repository.get_by_id.return_value = None + + with patch("services.model_service.ModelRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_model_repository + + result = asyncio.run(fxt_model_service.get_model_by_id(fxt_project.id, "non-existent-id")) + + assert result is None + fxt_model_repository.get_by_id.assert_called_once_with("non-existent-id") + + def test_delete_model(self, fxt_model_service, fxt_model_repository, fxt_model, fxt_project): + """Test deleting a model.""" + fxt_model_repository.delete_by_id.return_value = None + + with patch("services.model_service.ModelRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_model_repository + + service = fxt_model_service() + asyncio.run(service.delete_model(fxt_project.id, fxt_model.id, delete_artifacts=False)) + + fxt_model_repository.delete_by_id.assert_called_once_with(fxt_model.id) + + def test_load_inference_model_success(self, fxt_model_service, fxt_model, fxt_openvino_inferencer): + """Test loading inference model successfully.""" + with patch("services.model_service.ModelBinaryRepository") as mock_bin_repo_class: + mock_bin_repo = MagicMock() + mock_bin_repo_class.return_value = mock_bin_repo + mock_bin_repo.get_weights_file_path.return_value = "/path/to/model.xml" + + with patch("services.model_service.asyncio.to_thread") as mock_to_thread: + mock_to_thread.return_value = fxt_openvino_inferencer + + result = asyncio.run(fxt_model_service.load_inference_model(fxt_model, "CPU")) + + assert result == fxt_openvino_inferencer + mock_bin_repo.get_weights_file_path.assert_called_once_with( + format=ExportType.OPENVINO, name="model.xml" + ) + mock_to_thread.assert_called_once_with( + OpenVINOInferencer, + path="/path/to/model.xml", + device="CPU", + config={ov_hints.performance_mode: ov_hints.PerformanceMode.LATENCY}, + ) + + def test_load_inference_model_unsupported_format(self, fxt_model_service, fxt_model): + """Test loading inference model with unsupported format.""" + fxt_model.format = "unsupported_format" + + with pytest.raises(NotImplementedError) as exc_info: + asyncio.run(fxt_model_service.load_inference_model(fxt_model)) + + assert "Model format unsupported_format is not supported" in str(exc_info.value) + + @pytest.mark.parametrize("device", ["CPU", "GPU", "AUTO"]) + def test_load_inference_model_with_different_devices( + self, fxt_model_service, fxt_model, fxt_openvino_inferencer, device + ): + """Test loading inference model with different devices.""" + with patch("services.model_service.ModelBinaryRepository") as mock_bin_repo_class: + mock_bin_repo = MagicMock() + mock_bin_repo_class.return_value = mock_bin_repo + mock_bin_repo.get_weights_file_path.return_value = "/path/to/model.xml" + + with patch("services.model_service.asyncio.to_thread") as mock_to_thread: + mock_to_thread.return_value = fxt_openvino_inferencer + + result = asyncio.run(fxt_model_service.load_inference_model(fxt_model, device)) + + assert result == fxt_openvino_inferencer + mock_to_thread.assert_called_once_with( + OpenVINOInferencer, + path="/path/to/model.xml", + device=device, + config={ov_hints.performance_mode: ov_hints.PerformanceMode.LATENCY}, + ) + + def test_predict_image_with_cached_model( + self, fxt_model_service, fxt_model, fxt_image_bytes, fxt_prediction_response, fxt_openvino_inferencer + ): + """Test prediction with cached model.""" + cached_models = {fxt_model.id: fxt_openvino_inferencer} + + with patch.object(fxt_model_service, "_run_prediction_pipeline") as mock_pipeline: + mock_pipeline.return_value = { + "anomaly_map": "base64_encoded_image", + "label": PredictionLabel.NORMAL, + "score": 0.1, + } + + result = asyncio.run(fxt_model_service().predict_image(fxt_model, fxt_image_bytes, cached_models)) + + assert result.anomaly_map == "base64_encoded_image" + assert result.label == PredictionLabel.NORMAL + assert result.score == 0.1 + mock_pipeline.assert_called_once() + + def test_predict_image_without_cached_model( + self, fxt_model_service, fxt_model, fxt_image_bytes, fxt_openvino_inferencer + ): + """Test prediction without cached model.""" + with patch.object(fxt_model_service, "load_inference_model") as mock_load_model: + mock_load_model.return_value = fxt_openvino_inferencer + + with patch.object(fxt_model_service, "_run_prediction_pipeline") as mock_pipeline: + mock_pipeline.return_value = { + "anomaly_map": "base64_encoded_image", + "label": PredictionLabel.NORMAL, + "score": 0.1, + } + + result = asyncio.run(fxt_model_service().predict_image(fxt_model, fxt_image_bytes, {})) + + assert result.anomaly_map == "base64_encoded_image" + assert result.label == PredictionLabel.NORMAL + assert result.score == 0.1 + mock_load_model.assert_called_once_with(fxt_model, device=None) + mock_pipeline.assert_called_once() + + def test_predict_image_caches_model(self, fxt_model_service, fxt_model, fxt_image_bytes, fxt_openvino_inferencer): + """Test that prediction caches the loaded model.""" + cached_models = {} + + with patch.object(fxt_model_service, "load_inference_model") as mock_load_model: + mock_load_model.return_value = fxt_openvino_inferencer + + with patch.object(fxt_model_service, "_run_prediction_pipeline") as mock_pipeline: + mock_pipeline.return_value = { + "anomaly_map": "base64_encoded_image", + "label": PredictionLabel.NORMAL, + "score": 0.1, + } + + asyncio.run(fxt_model_service().predict_image(fxt_model, fxt_image_bytes, cached_models)) + + assert fxt_model.id in cached_models + assert cached_models[fxt_model.id] == fxt_openvino_inferencer + + def test_predict_image_load_model_exception(self, fxt_model_service, fxt_model, fxt_image_bytes): + """Test prediction when load_inference_model raises an exception.""" + with patch.object(fxt_model_service, "load_inference_model") as mock_load_model: + mock_load_model.side_effect = Exception("Model loading failed") + + with pytest.raises(Exception) as exc_info: + asyncio.run(fxt_model_service().predict_image(fxt_model, fxt_image_bytes, {})) + + assert "Model loading failed" in str(exc_info.value) + mock_load_model.assert_called_once_with(fxt_model, device=None) + + @patch("services.model_service.cv2.imdecode") + @patch("services.model_service.cv2.cvtColor") + def test_run_prediction_pipeline(self, mock_cvt_color, mock_imdecode, fxt_openvino_inferencer, fxt_image_bytes): + """Test the prediction pipeline static method.""" + # Mock OpenCV functions to avoid actual image processing + mock_imdecode.return_value = np.array( + [[[100, 100, 100], [200, 200, 200]], [[150, 150, 150], [250, 250, 250]]], dtype=np.uint8 + ) + mock_cvt_color.return_value = np.array( + [[[100, 100, 100, 255], [200, 200, 200, 255]], [[150, 150, 150, 255], [250, 250, 250, 255]]], dtype=np.uint8 + ) + + # Create a test anomaly map + test_anomaly_map = np.array([[[0.1, 0.2], [0.3, 0.4]]]) + fxt_openvino_inferencer.predict.return_value.anomaly_map = test_anomaly_map + fxt_openvino_inferencer.predict.return_value.pred_label.item.return_value = 0 + fxt_openvino_inferencer.predict.return_value.pred_score.item.return_value = 0.1 + + result = ModelService._run_prediction_pipeline(fxt_openvino_inferencer, fxt_image_bytes) + + assert "anomaly_map" in result + assert result["label"] == PredictionLabel.NORMAL + assert result["score"] == 0.1 + assert isinstance(result["anomaly_map"], str) # Should be base64 encoded + + @patch("services.model_service.cv2.imdecode") + @patch("services.model_service.cv2.cvtColor") + def test_run_prediction_pipeline_anomalous( + self, mock_cvt_color, mock_imdecode, fxt_openvino_inferencer, fxt_image_bytes + ): + """Test the prediction pipeline with anomalous prediction.""" + # Mock OpenCV functions to avoid actual image processing + mock_imdecode.return_value = np.array( + [[[100, 100, 100], [200, 200, 200]], [[150, 150, 150], [250, 250, 250]]], dtype=np.uint8 + ) + mock_cvt_color.return_value = np.array( + [[[100, 100, 100, 255], [200, 200, 200, 255]], [[150, 150, 150, 255], [250, 250, 250, 255]]], dtype=np.uint8 + ) + + # Create a test anomaly map + test_anomaly_map = np.array([[[0.8, 0.9], [0.7, 0.6]]]) + fxt_openvino_inferencer.predict.return_value.anomaly_map = test_anomaly_map + fxt_openvino_inferencer.predict.return_value.pred_label.item.return_value = 1 + fxt_openvino_inferencer.predict.return_value.pred_score.item.return_value = 0.9 + + result = ModelService._run_prediction_pipeline(fxt_openvino_inferencer, fxt_image_bytes) + + assert "anomaly_map" in result + assert result["label"] == PredictionLabel.ANOMALOUS + assert result["score"] == 0.9 + assert isinstance(result["anomaly_map"], str) # Should be base64 encoded + + @patch("services.model_service.cv2.imdecode") + @patch("services.model_service.cv2.cvtColor") + def test_run_prediction_pipeline_edge_cases(self, mock_cvt_color, mock_imdecode, fxt_openvino_inferencer): + """Test prediction pipeline with edge cases.""" + # Test with empty image bytes + empty_bytes = b"" + mock_imdecode.return_value = None # cv2.imdecode returns None for invalid data + mock_cvt_color.return_value = None + + # This should handle the case where imdecode returns None + with pytest.raises(ValueError, match="Failed to decode image"): + ModelService._run_prediction_pipeline(fxt_openvino_inferencer, empty_bytes) + + @patch("services.model_service.cv2.imdecode") + @patch("services.model_service.cv2.cvtColor") + def test_run_prediction_pipeline_advanced_processing(self, mock_cvt_color, mock_imdecode, fxt_openvino_inferencer): + """Test prediction pipeline with advanced processing scenarios.""" + # Mock OpenCV functions + mock_imdecode.return_value = np.array( + [[[100, 100, 100], [200, 200, 200]], [[150, 150, 150], [250, 250, 250]]], dtype=np.uint8 + ) + mock_cvt_color.return_value = np.array( + [[[100, 100, 100, 255], [200, 200, 200, 255]], [[150, 150, 150, 255], [250, 250, 250, 255]]], dtype=np.uint8 + ) + + # Test with 4D anomaly map (should be squeezed to 2D) + test_anomaly_map = np.array([[[[0.1, 0.2], [0.3, 0.4]]]]) # 4D array + fxt_openvino_inferencer.predict.return_value.anomaly_map = test_anomaly_map + fxt_openvino_inferencer.predict.return_value.pred_label.item.return_value = 0 + fxt_openvino_inferencer.predict.return_value.pred_score.item.return_value = 0.123456789 + + result = ModelService._run_prediction_pipeline(fxt_openvino_inferencer, b"test_image") + + # Verify score precision handling + assert result["score"] == 0.123456789 + assert isinstance(result["score"], float) + + # Verify anomaly map processing + assert "anomaly_map" in result + assert isinstance(result["anomaly_map"], str) # Should be base64 encoded diff --git a/application/backend/tests/unit/services/test_pipeline_service.py b/application/backend/tests/unit/services/test_pipeline_service.py new file mode 100644 index 0000000000..ecbb76bc99 --- /dev/null +++ b/application/backend/tests/unit/services/test_pipeline_service.py @@ -0,0 +1,391 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +import uuid +from multiprocessing.synchronize import Condition +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest + +from pydantic_models import Pipeline, PipelineStatus +from pydantic_models.model import Model +from pydantic_models.sink import FolderSinkConfig, MqttSinkConfig +from pydantic_models.source import VideoFileSourceConfig, WebcamSourceConfig +from repositories import PipelineRepository +from services import ActivePipelineService, ModelService, ResourceNotFoundError +from services.metrics_service import MetricsService +from services.pipeline_service import PipelineService + + +@pytest.fixture +def fxt_pipeline(fxt_project, fxt_model): + """Fixture for a test pipeline.""" + source = VideoFileSourceConfig( + id=uuid.uuid4(), + project_id=fxt_project.id, + source_type="video_file", + name="Test Source", + video_path="/path/to/video.mp4", + ) + sink = FolderSinkConfig( + id=uuid.uuid4(), + project_id=fxt_project.id, + sink_type="folder", + name="Test Sink", + folder_path="/path/to/output", + output_formats=["image_original"], + rate_limit=0.2, + ) + return Pipeline( + project_id=fxt_project.id, + source=source, + sink=sink, + model=fxt_model, + source_id=source.id, + sink_id=sink.id, + model_id=fxt_model.id, + status=PipelineStatus.RUNNING, + ) + + +@pytest.fixture +def fxt_idle_pipeline(fxt_project): + """Fixture for an idle pipeline.""" + return Pipeline(project_id=fxt_project.id, status=PipelineStatus.IDLE) + + +@pytest.fixture +def fxt_condition(): + """Fixture for a mock condition.""" + return MagicMock(spec=Condition) + + +@pytest.fixture +def fxt_active_pipeline_service(): + """Fixture for a mock active pipeline service.""" + service = MagicMock(spec=ActivePipelineService) + service.reload = AsyncMock() + return service + + +@pytest.fixture +def fxt_metrics_service(): + """Fixture for a mock metrics service.""" + service = MagicMock(spec=MetricsService) + service.get_latency_measurements.return_value = [10.5, 12.3, 8.7, 15.2, 9.1] + return service + + +@pytest.fixture +def fxt_model_service(): + """Fixture for a mock model service.""" + service = MagicMock(spec=ModelService) + service.activate_model = MagicMock() + return service + + +@pytest.fixture +def fxt_pipeline_service(fxt_active_pipeline_service, fxt_condition, fxt_model_service): + """Fixture for PipelineService with mocked dependencies.""" + return PipelineService( + active_pipeline_service=fxt_active_pipeline_service, + config_changed_condition=fxt_condition, + model_service=fxt_model_service, + ) + + +@pytest.fixture +def fxt_pipeline_repository(): + """Fixture for a mock pipeline repository.""" + return MagicMock(spec=PipelineRepository) + + +@pytest.fixture(autouse=True) +def mock_db_context(): + """Mock the database context for all tests.""" + with patch("services.pipeline_service.get_async_db_session_ctx") as mock_db_ctx: + mock_session = AsyncMock() + mock_db_ctx.return_value.__aenter__.return_value = mock_session + mock_db_ctx.return_value.__aexit__.return_value = None + yield mock_db_ctx + + +class TestPipelineService: + def test_init(self, fxt_active_pipeline_service, fxt_condition, fxt_model_service): + """Test PipelineService initialization.""" + service = PipelineService( + active_pipeline_service=fxt_active_pipeline_service, + config_changed_condition=fxt_condition, + model_service=fxt_model_service, + ) + + assert service._active_pipeline_service == fxt_active_pipeline_service + assert service._config_changed_condition == fxt_condition + assert service._model_service == fxt_model_service + + def test_notify_source_changed(self, fxt_pipeline_service, fxt_condition): + """Test source change notification.""" + fxt_pipeline_service._notify_source_changed() + + fxt_condition.__enter__.assert_called_once() + fxt_condition.__exit__.assert_called_once() + fxt_condition.notify_all.assert_called_once() + + def test_notify_sink_changed(self, fxt_pipeline_service, fxt_active_pipeline_service): + """Test sink change notification.""" + asyncio.run(fxt_pipeline_service._notify_sink_changed()) + + fxt_active_pipeline_service.reload.assert_called_once() + + def test_notify_pipeline_changed(self, fxt_pipeline_service, fxt_condition, fxt_active_pipeline_service): + """Test pipeline change notification.""" + asyncio.run(fxt_pipeline_service._notify_pipeline_changed()) + + fxt_condition.__enter__.assert_called_once() + fxt_condition.__exit__.assert_called_once() + fxt_condition.notify_all.assert_called_once() + fxt_active_pipeline_service.reload.assert_called_once() + + @pytest.mark.parametrize( + "has_session,session_param,expected_result,should_raise", + [ + (False, None, "pipeline_found", False), + (True, "fxt_db_session", "pipeline_found", False), + (False, None, None, True), + ], + ) + def test_get_pipeline_by_id( + self, + fxt_pipeline, + fxt_pipeline_repository, + fxt_db_session, + has_session, + session_param, + expected_result, + should_raise, + ): + """Test getting pipeline by ID with different scenarios.""" + if should_raise: + fxt_pipeline_repository.get_by_id.return_value = None + project_id = uuid.uuid4() + else: + fxt_pipeline_repository.get_by_id.return_value = fxt_pipeline + project_id = fxt_pipeline.project_id + + with patch("services.pipeline_service.PipelineRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_pipeline_repository + + if should_raise: + with pytest.raises(ResourceNotFoundError) as exc_info: + asyncio.run(PipelineService.get_pipeline_by_id(project_id)) + assert str(project_id) in str(exc_info.value) + assert "pipeline" in str(exc_info.value).lower() + else: + if has_session: + result = asyncio.run(PipelineService.get_pipeline_by_id(project_id, fxt_db_session)) + else: + result = asyncio.run(PipelineService.get_pipeline_by_id(project_id)) + assert result == fxt_pipeline + + fxt_pipeline_repository.get_by_id.assert_called_once_with(project_id) + + def test_update_pipeline_success(self, fxt_pipeline_service, fxt_pipeline, fxt_pipeline_repository): + """Test updating pipeline successfully.""" + updated_pipeline = fxt_pipeline.model_copy(update={"status": PipelineStatus.IDLE}) + fxt_pipeline_repository.get_by_id.return_value = fxt_pipeline + fxt_pipeline_repository.update.return_value = updated_pipeline + + with patch("services.pipeline_service.PipelineRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_pipeline_repository + + result = asyncio.run( + fxt_pipeline_service.update_pipeline(fxt_pipeline.project_id, {"status": PipelineStatus.IDLE}) + ) + + assert result == updated_pipeline + fxt_pipeline_repository.get_by_id.assert_called_once_with(fxt_pipeline.project_id) + fxt_pipeline_repository.update.assert_called_once_with(fxt_pipeline, {"status": PipelineStatus.IDLE}) + + def test_update_pipeline_running_to_running_source_change( + self, fxt_pipeline_service, fxt_pipeline, fxt_pipeline_repository, fxt_condition + ): + """Test updating running pipeline with source change.""" + new_source = WebcamSourceConfig( + id=uuid.uuid4(), + project_id=fxt_pipeline.project_id, + source_type="webcam", + name="New Source", + device_id=0, + ) + updated_pipeline = fxt_pipeline.model_copy(update={"source": new_source, "source_id": new_source.id}) + fxt_pipeline_repository.get_by_id.return_value = fxt_pipeline + fxt_pipeline_repository.update.return_value = updated_pipeline + + with patch("services.pipeline_service.PipelineRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_pipeline_repository + + result = asyncio.run( + fxt_pipeline_service.update_pipeline( + fxt_pipeline.project_id, {"source": new_source, "source_id": new_source.id} + ) + ) + + assert result == updated_pipeline + fxt_condition.__enter__.assert_called_once() + fxt_condition.__exit__.assert_called_once() + fxt_condition.notify_all.assert_called_once() + + def test_update_pipeline_running_to_running_sink_change( + self, fxt_pipeline_service, fxt_pipeline, fxt_pipeline_repository, fxt_active_pipeline_service + ): + """Test updating running pipeline with sink change.""" + new_sink = MqttSinkConfig( + id=uuid.uuid4(), + project_id=fxt_pipeline.project_id, + sink_type="mqtt", + name="New Sink", + broker_host="localhost", + broker_port=1883, + topic="anomaly_detection", + output_formats=["predictions"], + rate_limit=0.1, + ) + updated_pipeline = fxt_pipeline.model_copy(update={"sink": new_sink, "sink_id": new_sink.id}) + fxt_pipeline_repository.get_by_id.return_value = fxt_pipeline + fxt_pipeline_repository.update.return_value = updated_pipeline + + with patch("services.pipeline_service.PipelineRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_pipeline_repository + + result = asyncio.run( + fxt_pipeline_service.update_pipeline( + fxt_pipeline.project_id, {"sink": new_sink, "sink_id": new_sink.id} + ) + ) + + assert result == updated_pipeline + fxt_active_pipeline_service.reload.assert_called_once() + + def test_update_pipeline_running_to_running_model_change( + self, fxt_pipeline_service, fxt_pipeline, fxt_pipeline_repository, fxt_model_service + ): + """Test updating running pipeline with model change.""" + new_model = Model( + id=uuid.uuid4(), + project_id=fxt_pipeline.project_id, + name="new_model", + format="openvino", + train_job_id=uuid.uuid4(), + ) + updated_pipeline = fxt_pipeline.model_copy(update={"model": new_model, "model_id": new_model.id}) + fxt_pipeline_repository.get_by_id.return_value = fxt_pipeline + fxt_pipeline_repository.update.return_value = updated_pipeline + + with patch("services.pipeline_service.PipelineRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_pipeline_repository + + result = asyncio.run( + fxt_pipeline_service.update_pipeline( + fxt_pipeline.project_id, {"model": new_model, "model_id": new_model.id} + ) + ) + + assert result == updated_pipeline + fxt_model_service.activate_model.assert_called_once() + + def test_update_pipeline_status_change_to_running( + self, + fxt_pipeline_service, + fxt_idle_pipeline, + fxt_pipeline_repository, + fxt_condition, + fxt_active_pipeline_service, + fxt_model_service, + ): + """Test updating pipeline status from idle to running.""" + updated_pipeline = fxt_idle_pipeline.model_copy(update={"status": PipelineStatus.RUNNING}) + fxt_pipeline_repository.get_by_id.return_value = fxt_idle_pipeline + fxt_pipeline_repository.update.return_value = updated_pipeline + + with patch("services.pipeline_service.PipelineRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_pipeline_repository + + result = asyncio.run( + fxt_pipeline_service.update_pipeline(fxt_idle_pipeline.project_id, {"status": PipelineStatus.RUNNING}) + ) + + assert result == updated_pipeline + fxt_condition.__enter__.assert_called_once() + fxt_condition.__exit__.assert_called_once() + fxt_condition.notify_all.assert_called_once() + fxt_active_pipeline_service.reload.assert_called_once() + # activate_model is called on status change regardless of whether model exists + fxt_model_service.activate_model.assert_called_once() + + def test_update_pipeline_status_change_to_running_with_model( + self, + fxt_pipeline_service, + fxt_idle_pipeline, + fxt_model, + fxt_pipeline_repository, + fxt_condition, + fxt_active_pipeline_service, + fxt_model_service, + ): + """Test updating pipeline status to running with model.""" + updated_pipeline = fxt_idle_pipeline.model_copy(update={"status": PipelineStatus.RUNNING, "model": fxt_model}) + fxt_pipeline_repository.get_by_id.return_value = fxt_idle_pipeline + fxt_pipeline_repository.update.return_value = updated_pipeline + + with patch("services.pipeline_service.PipelineRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_pipeline_repository + + result = asyncio.run( + fxt_pipeline_service.update_pipeline( + fxt_idle_pipeline.project_id, {"status": PipelineStatus.RUNNING, "model": fxt_model} + ) + ) + + assert result == updated_pipeline + fxt_model_service.activate_model.assert_called_once() + + def test_get_active_pipeline(self, fxt_pipeline, fxt_pipeline_repository): + """Test getting the active pipeline from the database.""" + fxt_pipeline_repository.get_active_pipeline.return_value = fxt_pipeline + + with patch("services.pipeline_service.PipelineRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_pipeline_repository + + result = asyncio.run(PipelineService.get_active_pipeline()) + + assert result == fxt_pipeline + fxt_pipeline_repository.get_active_pipeline.assert_called_once() + + def test_get_active_pipeline_none(self, fxt_pipeline_repository): + """Test getting active pipeline when no pipeline is running.""" + fxt_pipeline_repository.get_active_pipeline.return_value = None + + with patch("services.pipeline_service.PipelineRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_pipeline_repository + + result = asyncio.run(PipelineService.get_active_pipeline()) + + assert result is None + fxt_pipeline_repository.get_active_pipeline.assert_called_once() + + def test_get_active_pipeline_returns_running_pipeline(self, fxt_pipeline, fxt_pipeline_repository): + """Test that get_active_pipeline returns a pipeline with RUNNING status and required fields.""" + fxt_pipeline_repository.get_active_pipeline.return_value = fxt_pipeline + + with patch("services.pipeline_service.PipelineRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_pipeline_repository + + result = asyncio.run(PipelineService.get_active_pipeline()) + + assert result is not None + assert result.status == PipelineStatus.RUNNING + assert result.source is not None + assert result.sink is not None + assert result.model is not None + assert result == fxt_pipeline + fxt_pipeline_repository.get_active_pipeline.assert_called_once() diff --git a/application/backend/tests/unit/services/test_project_service.py b/application/backend/tests/unit/services/test_project_service.py new file mode 100644 index 0000000000..4f91d56fbb --- /dev/null +++ b/application/backend/tests/unit/services/test_project_service.py @@ -0,0 +1,92 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest + +from repositories import ProjectRepository +from services import ProjectService + + +@pytest.fixture +def fxt_project_repository(): + """Fixture for a mock project repository.""" + return MagicMock(spec=ProjectRepository) + + +@pytest.fixture +def fxt_project_service(): + """Fixture for ProjectService - all methods are static.""" + return ProjectService + + +@pytest.fixture(autouse=True) +def mock_db_context(): + """Mock the database context for all tests.""" + with patch("services.project_service.get_async_db_session_ctx") as mock_db_ctx: + mock_session = AsyncMock() + mock_db_ctx.return_value.__aenter__.return_value = mock_session + mock_db_ctx.return_value.__aexit__.return_value = None + yield mock_db_ctx + + +class TestProjectService: + def test_get_project_list(self, fxt_project_service, fxt_project_repository, fxt_project_list): + """Test getting project list.""" + fxt_project_repository.get_all.return_value = fxt_project_list.projects + + with patch("services.project_service.ProjectRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_project_repository + + result = asyncio.run(fxt_project_service.get_project_list()) + + assert result == fxt_project_list + fxt_project_repository.get_all.assert_called_once() + + def test_get_project_by_id(self, fxt_project_service, fxt_project_repository, fxt_project): + """Test getting project by ID.""" + fxt_project_repository.get_by_id.return_value = fxt_project + + with patch("services.project_service.ProjectRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_project_repository + + result = asyncio.run(fxt_project_service.get_project_by_id(fxt_project.id)) + + assert result == fxt_project + fxt_project_repository.get_by_id.assert_called_once_with(fxt_project.id) + + def test_get_project_by_id_not_found(self, fxt_project_service, fxt_project_repository): + """Test getting project by ID when not found.""" + fxt_project_repository.get_by_id.return_value = None + + with patch("services.project_service.ProjectRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_project_repository + + result = asyncio.run(fxt_project_service.get_project_by_id("non-existent-id")) + + assert result is None + fxt_project_repository.get_by_id.assert_called_once_with("non-existent-id") + + def test_create_project(self, fxt_project_service, fxt_project_repository, fxt_project): + """Test creating a project.""" + fxt_project_repository.save.return_value = fxt_project + + with patch("services.project_service.ProjectRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_project_repository + + result = asyncio.run(fxt_project_service.create_project(fxt_project)) + + assert result == fxt_project + fxt_project_repository.save.assert_called_once_with(fxt_project) + + def test_delete_project(self, fxt_project_service, fxt_project_repository, fxt_project): + """Test deleting a project.""" + fxt_project_repository.delete_by_id.return_value = None + + with patch("services.project_service.ProjectRepository") as mock_repo_class: + mock_repo_class.return_value = fxt_project_repository + + asyncio.run(fxt_project_service.delete_project(fxt_project.id)) + + fxt_project_repository.delete_by_id.assert_called_once_with(fxt_project.id) diff --git a/application/backend/tests/unit/services/test_training_service.py b/application/backend/tests/unit/services/test_training_service.py new file mode 100644 index 0000000000..ed2007282d --- /dev/null +++ b/application/backend/tests/unit/services/test_training_service.py @@ -0,0 +1,294 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +from typing import Any +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest + +from pydantic_models import JobStatus +from repositories.binary_repo import ImageBinaryRepository, ModelBinaryRepository +from services import TrainingService +from utils.callbacks import ProgressSyncParams + + +@pytest.fixture +def fxt_model_binary_repo(): + """Fixture for a mock model binary repository.""" + return MagicMock(spec=ModelBinaryRepository) + + +@pytest.fixture +def fxt_image_binary_repo(): + """Fixture for a mock image binary repository.""" + return MagicMock(spec=ImageBinaryRepository) + + +@pytest.fixture +def fxt_mock_job_service(): + """Fixture for a mock job service instance.""" + mock_job_service = MagicMock() + mock_job_service.get_pending_train_job = AsyncMock() + mock_job_service.update_job_status = AsyncMock() + return mock_job_service + + +@pytest.fixture +def fxt_mock_model_service(): + """Fixture for a mock model service instance.""" + mock_model_service = MagicMock() + mock_model_service.create_model = AsyncMock() + mock_model_service.delete_model = AsyncMock() + return mock_model_service + + +@pytest.fixture +def fxt_mock_binary_repos(fxt_model_binary_repo, fxt_image_binary_repo): + """Fixture for mock binary repositories.""" + with ( + patch("services.training_service.ModelBinaryRepository") as mock_model_bin_repo_class, + patch("services.training_service.ImageBinaryRepository") as mock_image_bin_repo_class, + ): + mock_model_bin_repo_class.return_value = fxt_model_binary_repo + mock_image_bin_repo_class.return_value = fxt_image_binary_repo + yield mock_model_bin_repo_class, mock_image_bin_repo_class + + +@pytest.fixture +def fxt_mock_anomalib_components(): + """Fixture for mock Anomalib components.""" + with ( + patch("services.training_service.Folder") as mock_folder_class, + patch("services.training_service.get_model") as mock_get_model, + patch("services.training_service.Engine") as mock_engine_class, + ): + mock_folder = MagicMock() + mock_folder_class.return_value = mock_folder + + mock_anomalib_model = MagicMock() + mock_get_model.return_value = mock_anomalib_model + + mock_engine = MagicMock() + mock_engine_class.return_value = mock_engine + mock_engine.export.return_value = "/path/to/exported/model" + + yield { + "folder_class": mock_folder_class, + "folder": mock_folder, + "get_model": mock_get_model, + "anomalib_model": mock_anomalib_model, + "engine_class": mock_engine_class, + "engine": mock_engine, + } + + +@pytest.fixture +def fxt_mock_job_service_class(fxt_mock_job_service): + """Fixture that patches JobService class.""" + with patch("services.training_service.JobService") as mock_job_service_class: + mock_job_service_class.return_value = fxt_mock_job_service + yield mock_job_service_class + + +@pytest.fixture +def fxt_mock_model_service_class(fxt_mock_model_service): + """Fixture that patches ModelService class.""" + with patch("services.training_service.ModelService") as mock_model_service_class: + mock_model_service_class.return_value = fxt_mock_model_service + yield mock_model_service_class + + +class TestTrainingService: + def test_train_pending_job_no_pending_jobs(self, fxt_mock_job_service_class, fxt_mock_job_service): + """Test training when no pending jobs exist.""" + fxt_mock_job_service.get_pending_train_job.return_value = None + + result = asyncio.run(TrainingService.train_pending_job()) + + assert result is None + fxt_mock_job_service.get_pending_train_job.assert_called_once() + + def test_train_pending_job_success( + self, + fxt_job, + fxt_model, + fxt_mock_job_service_class, + fxt_mock_model_service_class, + fxt_mock_job_service, + fxt_mock_model_service, + ): + """Test successful training of a pending job.""" + fxt_job.payload = {"model_name": "padim"} + fxt_mock_job_service.get_pending_train_job.return_value = fxt_job + fxt_mock_model_service.create_model.return_value = fxt_model + + with patch("services.training_service.asyncio.to_thread") as mock_to_thread: + mock_to_thread.return_value = fxt_model + + result = asyncio.run(TrainingService.train_pending_job()) + + assert result == fxt_model + # Should be called twice: RUNNING then COMPLETED + assert fxt_mock_job_service.update_job_status.call_count == 2 + fxt_mock_job_service.update_job_status.assert_any_call( + job_id=fxt_job.id, status=JobStatus.RUNNING, message="Training started" + ) + fxt_mock_job_service.update_job_status.assert_any_call( + job_id=fxt_job.id, status=JobStatus.COMPLETED, message="Training completed successfully" + ) + fxt_mock_model_service.create_model.assert_called_once() + + @pytest.mark.parametrize( + "exception,expected_message", + [ + (Exception("Training failed"), "Training failed"), + (ValueError("Training failed - model is None"), "Training failed - model is None"), + ], + ) + def test_train_pending_job_training_failures( + self, + fxt_job, + fxt_mock_job_service_class, + fxt_mock_model_service_class, + fxt_mock_job_service, + exception, + expected_message, + ): + """Test training failure handling with different failure scenarios.""" + fxt_job.payload = {"model_name": "padim"} + fxt_mock_job_service.get_pending_train_job.return_value = fxt_job + + with patch("services.training_service.asyncio.to_thread") as mock_to_thread: + if isinstance(exception, ValueError) and "model is None" in str(exception): + mock_to_thread.return_value = None + else: + mock_to_thread.side_effect = exception + + with pytest.raises(type(exception), match=expected_message): + asyncio.run(TrainingService.train_pending_job()) + + # Should be called twice: RUNNING then FAILED + assert fxt_mock_job_service.update_job_status.call_count == 2 + fxt_mock_job_service.update_job_status.assert_any_call( + job_id=fxt_job.id, status=JobStatus.RUNNING, message="Training started" + ) + fxt_mock_job_service.update_job_status.assert_any_call( + job_id=fxt_job.id, status=JobStatus.FAILED, message=f"Failed with exception: {expected_message}" + ) + + def test_train_pending_job_cleanup_on_failure( + self, + fxt_job, + fxt_model, + fxt_mock_job_service_class, + fxt_mock_model_service_class, + fxt_mock_job_service, + fxt_mock_model_service, + fxt_mock_binary_repos, + ): + """Test cleanup when training fails and model has export_path.""" + fxt_job.payload = {"model_name": "padim"} + fxt_mock_job_service.get_pending_train_job.return_value = fxt_job + fxt_model.export_path = "/path/to/model" + + with patch("services.training_service.asyncio.to_thread") as mock_to_thread: + # Mock the training to succeed first, setting export_path, then fail + def mock_train_model(cls, model, synchronization_parameters: ProgressSyncParams, device=None): + model.export_path = "/path/to/model" + raise Exception("Training failed") + + mock_to_thread.side_effect = mock_train_model + + with pytest.raises(Exception, match="Training failed"): + asyncio.run(TrainingService.train_pending_job()) + + # Verify cleanup was called + fxt_mock_model_service.delete_model.assert_called_once() + call_args = fxt_mock_model_service.delete_model.call_args + assert call_args[1]["project_id"] == fxt_job.project_id + + def test_train_model_success( + self, + fxt_model, + fxt_model_binary_repo, + fxt_image_binary_repo, + fxt_mock_anomalib_components, + fxt_mock_binary_repos, + ): + """Test successful model training with platform-specific worker configuration.""" + # Setup platform mock + # Setup binary repo paths + fxt_image_binary_repo.project_folder_path = "/path/to/images" + fxt_model_binary_repo.model_folder_path = "/path/to/model" + + # Call the method + with patch.object(TrainingService, "_compute_export_size", return_value=123): + result = TrainingService._train_model(fxt_model, synchronization_parameters=ProgressSyncParams()) + + # Verify the result + assert result == fxt_model + assert fxt_model.is_ready is True + assert fxt_model.export_path == "/path/to/model" + assert fxt_model.size == 123 + + # Verify all components were called correctly + fxt_mock_anomalib_components["folder_class"].assert_called_once() + fxt_mock_anomalib_components["get_model"].assert_called_once_with(model=fxt_model.name) + + # Verify Engine was called with expected parameters + fxt_mock_anomalib_components["engine_class"].assert_called_once() + call_args = fxt_mock_anomalib_components["engine_class"].call_args + assert call_args[1]["default_root_dir"] == "/path/to/model" + assert "logger" in call_args[1] + assert len(call_args[1]["logger"]) == 2 # trackio and tensorboard + assert call_args[1]["max_epochs"] == 10 + + fxt_mock_anomalib_components["engine"].fit.assert_called_once_with( + model=fxt_mock_anomalib_components["anomalib_model"], datamodule=fxt_mock_anomalib_components["folder"] + ) + fxt_mock_anomalib_components["engine"].export.assert_called_once() + + def test_train_pending_job_cancelled( + self, + fxt_job, + fxt_mock_job_service_class, + fxt_mock_model_service_class, + fxt_mock_job_service, + fxt_mock_binary_repos, + ): + """Training should mark job as cancelled when cancellation flag is set.""" + fxt_job.payload = {"model_name": "padim"} + fxt_mock_job_service.get_pending_train_job.return_value = fxt_job + + async def fake_train_model(*args: Any, **kwargs: Any) -> MagicMock: + sync_params: ProgressSyncParams = kwargs["synchronization_parameters"] + sync_params.set_cancel_training_event() + return MagicMock() + + with ( + patch("services.training_service.asyncio.to_thread", side_effect=fake_train_model), + patch("services.training_service.TrainingService._sync_progress_with_db", new=AsyncMock()), + ): + result = asyncio.run(TrainingService.train_pending_job()) + + assert result is None + fxt_mock_job_service.update_job_status.assert_any_call( + job_id=fxt_job.id, status=JobStatus.RUNNING, message="Training started" + ) + fxt_mock_job_service.update_job_status.assert_any_call( + job_id=fxt_job.id, status=JobStatus.CANCELED, message="Training cancelled by user" + ) + + def test_train_model_cancelled_before_start( + self, + fxt_model, + fxt_mock_anomalib_components, + fxt_mock_binary_repos, + ): + """_train_model should abort early when cancellation is requested before training starts.""" + sync_params = ProgressSyncParams() + sync_params.set_cancel_training_event() + + result = TrainingService._train_model(fxt_model, synchronization_parameters=sync_params) + + assert result is None diff --git a/application/backend/tests/unit/workers/test_stream_loading.py b/application/backend/tests/unit/workers/test_stream_loading.py new file mode 100644 index 0000000000..d3bd0644db --- /dev/null +++ b/application/backend/tests/unit/workers/test_stream_loading.py @@ -0,0 +1,205 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 + +import multiprocessing as mp +import queue +import sys +import time +from unittest.mock import Mock, patch + +import numpy as np +import pytest + +from entities.stream_data import StreamData +from entities.video_stream import VideoStream +from pydantic_models.source import Source, SourceType +from workers.stream_loading import StreamLoader + + +@pytest.fixture +def mp_manager(): + """Multiprocessing manager fixture""" + manager = mp.Manager() + yield manager + manager.shutdown() + + +@pytest.fixture +def frame_queue(mp_manager): + """Frame queue fixture""" + return mp_manager.Queue(maxsize=2) + + +@pytest.fixture +def stop_event(): + """Stop event fixture""" + return mp.Event() + + +@pytest.fixture +def config_changed_condition(): + """Configuration changed condition fixture""" + return mp.Condition() + + +@pytest.fixture +def mock_config(): + """Mock configuration fixture""" + config = Mock(spec=Source) + config.source_type = SourceType.WEBCAM + config.device_id = 0 + return config + + +@pytest.fixture +def mock_stream_data(): + def create_sample(): + return StreamData( + frame_data=np.random.randint(0, 255, (480, 640, 3), dtype=np.uint8), + timestamp=time.time(), + source_metadata={}, + ) + + yield create_sample + + +@pytest.fixture +def mock_video_stream(mock_stream_data): + """Mock video stream fixture""" + stream = Mock(spec=VideoStream) + stream.get_data.return_value = mock_stream_data() + stream.is_real_time.return_value = True + stream.release.return_value = None + return stream + + +@pytest.fixture +def mock_services(mock_config, mock_video_stream): + with ( + patch("workers.stream_loading.ActivePipelineService") as mock_active_pipeline_service, + patch("workers.stream_loading.VideoStreamService") as mock_video_service, + ): + # Set up the mocks + mock_config_instance = Mock() + mock_config_instance.source_config = mock_config + + # Mock the async create method + async def mock_create(*args, **kwargs): + return mock_config_instance + + mock_active_pipeline_service.create = mock_create + + mock_video_service.get_video_stream.return_value = mock_video_stream + + yield { + "active_pipeline_service": mock_active_pipeline_service, + "video_service": mock_video_service, + "config_instance": mock_config_instance, + "video_stream": mock_video_stream, + } + + +@pytest.mark.skipif(sys.platform == "win32", reason="Multiprocessing 'fork' start method not available on Windows") +class TestStreamLoader: + """Unit tests for the StreamLoader worker""" + + @pytest.fixture(scope="session", autouse=True) + def set_multiprocessing_start_method(self): + # Set multiprocessing start method to 'fork' to ensure mocked objects and patches + # from the parent process are inherited by child processes. The default 'spawn' + # method creates isolated child processes that don't inherit mocked state. + try: + mp.set_start_method("fork", force=True) + except RuntimeError: + # Already set, ignore + pass + + def test_queue_full_realtime( + self, frame_queue, mock_stream_data, stop_event, config_changed_condition, mock_services + ): + """Test that frames are discarded when queue is full for real-time streams""" + + data1, data2 = mock_stream_data(), mock_stream_data() + frame_queue.put(data1) + frame_queue.put(data2) + initial_queue_size = frame_queue.qsize() + + # Create and start the worker + worker = StreamLoader( + frame_queue=frame_queue, + stop_event=stop_event, + config_changed_condition=config_changed_condition, + ) + + # Start the worker in a separate process + worker.start() + + # Let it run for a short time + # For real-time streams with full queue, it will discard old frames without adding new ones + time.sleep(2) + + # Stop the worker + stop_event.set() + worker.join(timeout=5) + + # For real-time streams, when queue is full, old frames are discarded + # The implementation discards old frame but doesn't add new one in same cycle + queue_contents = [] + while not frame_queue.empty(): + try: + queue_contents.append(frame_queue.get(timeout=0.1)) + except queue.Empty: + break + + # Queue should have fewer or equal frames compared to initial (some may be discarded) + assert len(queue_contents) <= initial_queue_size + assert not worker.is_alive(), "Worker process should terminate cleanly" + + def test_queue_empty(self, frame_queue, stop_event, config_changed_condition, mock_services): + """Test that stream frames are acquired when queue is empty""" + + # Create and start the worker + worker = StreamLoader( + frame_queue=frame_queue, + stop_event=stop_event, + config_changed_condition=config_changed_condition, + ) + + worker.start() + + # Let it run to acquire frames + time.sleep(2) + + # Stop the worker + stop_event.set() + worker.join(timeout=5) + + # Should have acquired frames + assert frame_queue.qsize() >= 1, "Queue should have at least one frame" + assert not worker.is_alive(), "Worker process should terminate cleanly" + + def test_cleanup(self, frame_queue, stop_event, config_changed_condition, mock_services): + """Test that resources are successfully released when worker finishes""" + + # Create and start the worker + worker = StreamLoader( + frame_queue=frame_queue, + stop_event=stop_event, + config_changed_condition=config_changed_condition, + ) + + worker.start() + + # Let it run briefly + time.sleep(1) + + # Stop the worker + stop_event.set() + worker.join(timeout=5) + + # Verify clean shutdown + assert not worker.is_alive(), "Worker process should terminate cleanly" + + # Verify the video stream was released (checked in teardown) + # Note: We can't directly verify mock calls across process boundaries, + # but the teardown method should have been called diff --git a/application/backend/tests/unit/workers/test_training.py b/application/backend/tests/unit/workers/test_training.py new file mode 100644 index 0000000000..f9f5e042b2 --- /dev/null +++ b/application/backend/tests/unit/workers/test_training.py @@ -0,0 +1,98 @@ +# Copyright (C) 2025 Intel Corporation +# SPDX-License-Identifier: Apache-2.0 +import asyncio +import multiprocessing as mp +from unittest.mock import AsyncMock, MagicMock, patch + +import pytest + +from workers.training import TrainingWorker + + +class TestTrainingWorker: + """Test cases for the TrainingWorker class.""" + + @pytest.fixture + def mock_stop_event(self): + """Fixture for a mock stop event.""" + return mp.Event() + + @pytest.fixture + def mock_training_service(self): + """Fixture for a mock training service.""" + service = MagicMock() + service.train_pending_job = AsyncMock(return_value=None) + return service + + def test_basic_operation(self, mock_stop_event, mock_training_service): + """Test basic loop operation - runs and calls training service.""" + + async def run_test(): + with patch("workers.training.TrainingService", return_value=mock_training_service): + worker = TrainingWorker(stop_event=mock_stop_event) + + # Set up stop event to trigger after a short time + async def set_stop_event(): + await asyncio.sleep(0.1) + mock_stop_event.set() + + # Start the stop event task + stop_task = asyncio.create_task(set_stop_event()) + + # Run the train loop + await worker.run_loop() + + # Wait for stop task to complete + await stop_task + + # Verify training service was called + mock_training_service.train_pending_job.assert_called() + + asyncio.run(run_test()) + + def test_handles_exceptions(self, mock_stop_event, mock_training_service): + """Test that loop handles exceptions gracefully and continues running.""" + + async def run_test(): + # Mock training service to raise an exception + mock_training_service.train_pending_job.side_effect = Exception("Training failed") + + with patch("workers.training.TrainingService", return_value=mock_training_service): + worker = TrainingWorker(stop_event=mock_stop_event) + + # Set up stop event to trigger after a short time + async def set_stop_event(): + await asyncio.sleep(0.1) + mock_stop_event.set() + + # Start the stop event task + stop_task = asyncio.create_task(set_stop_event()) + + # Run the train loop - should not raise exception + await worker.run_loop() + + # Wait for stop task to complete + await stop_task + + # Verify training service was called despite exception + mock_training_service.train_pending_job.assert_called() + + asyncio.run(run_test()) + + def test_shutdown_behavior(self, mock_stop_event, mock_training_service): + """Test that loop responds to stop_event and exits gracefully.""" + + async def run_test(): + # Set stop event immediately + mock_stop_event.set() + + with patch("workers.training.TrainingService", return_value=mock_training_service): + worker = TrainingWorker(stop_event=mock_stop_event) + + # Run the train loop + await 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+indent_style = space +indent_size = 4 + +[*.json] +indent_size = 4 + +[*.ts] +indent_size = 4 + +[*.tsx] +indent_size = 4 + +[*.md] +# double whitespace at end of line +# denotes a line break in Markdown +trim_trailing_whitespace = false + +[*.yml] +indent_size = 2 + +[Makefile] +indent_style = tab; diff --git a/application/ui/.gitignore b/application/ui/.gitignore new file mode 100644 index 0000000000..681b68a9b7 --- /dev/null +++ b/application/ui/.gitignore @@ -0,0 +1,28 @@ +# Local +.DS_Store +*.local +*.log* + +# Dist +node_modules +dist/ + +# Profile +.rspack-profile-*/ + +# IDE +.vscode/* +!.vscode/extensions.json +.idea + +# We clone our geti packages during the npm install phase +packages/ + +# Playwright +/test-results/ +/playwright-report/ +/blob-report/ +/playwright/.cache/ + +src/api/openapi-spec.d.ts +src/api/openapi-spec.json diff --git a/application/ui/.nvmrc b/application/ui/.nvmrc new file mode 100644 index 0000000000..dc864a052c --- /dev/null +++ b/application/ui/.nvmrc @@ -0,0 +1 @@ +v24.2.0 diff --git a/application/ui/.prettierignore b/application/ui/.prettierignore new file mode 100644 index 0000000000..5b10962b8c --- /dev/null +++ b/application/ui/.prettierignore @@ -0,0 +1,7 @@ +# Lock files +package-lock.json + +# Tauri +src-tauri/bin +src-tauri/target +src-tauri/gen diff --git a/application/ui/.prettierrc b/application/ui/.prettierrc new file mode 100644 index 0000000000..cbcc0e3f35 --- /dev/null +++ b/application/ui/.prettierrc @@ -0,0 +1,34 @@ +{ + "arrowParens": "always", + "bracketSpacing": true, + "embeddedLanguageFormatting": "auto", + "htmlWhitespaceSensitivity": "css", + "insertPragma": false, + "bracketSameLine": false, + "jsxSingleQuote": true, + "printWidth": 120, + "proseWrap": "preserve", + "quoteProps": "as-needed", + "requirePragma": false, + "semi": true, + "singleQuote": true, + "tabWidth": 4, + "useTabs": false, + "endOfLine": "auto", + "trailingComma": "es5", + "plugins": ["@ianvs/prettier-plugin-sort-imports"], + "importOrder": [ + "", + "^react$", + "", + "BUILTIN_MODULES>", + "", + "", + "", + "^(?!.*[.]*css$)[./].*$", + "", + ".*css$" + ], + "importOrderTypeScriptVersion": "5.7.2", + "importOrderCaseSensitive": false +} diff --git a/application/ui/README.md b/application/ui/README.md new file mode 100644 index 0000000000..e6345012b0 --- /dev/null +++ b/application/ui/README.md @@ -0,0 +1,41 @@ +# Geti Inspect + +## Setup + +Install the dependencies: + +```bash +npm install +``` + +## Get started + +Start the dev server: + +```bash +npm run start +``` + +Build the app for production: + +```bash +npm run build +``` + +Preview the production build locally: + +```bash +npm run preview +``` + +## Testing + +Use the following commands to test your changes. + +```bash +npm run format +npm run lint +npm run type-check +npm run test:unit +npm run test:component +``` diff --git a/application/ui/eslint.config.js b/application/ui/eslint.config.js new file mode 100644 index 0000000000..a430f26071 --- /dev/null +++ b/application/ui/eslint.config.js @@ -0,0 +1,82 @@ +// Copyright (C) 2022-2025 Intel Corporation +// LIMITED EDGE SOFTWARE DISTRIBUTION LICENSE + +import path from 'node:path'; +import { fileURLToPath } from 'node:url'; + +import { FlatCompat } from '@eslint/eslintrc'; +import js from '@eslint/js'; +import sharedEslintConfig from '@geti/config/lint'; + +const filename = fileURLToPath(import.meta.url); +const dirname = path.dirname(filename); +const compat = new FlatCompat({ + baseDirectory: dirname, + recommendedConfig: js.configs.recommended, + allConfig: js.configs.all, +}); + +export default [ + { + ignores: [...sharedEslintConfig[0].ignores, 'src/api/openapi-spec.d.ts'], + }, + ...sharedEslintConfig, + { + rules: { + 'no-restricted-imports': [ + 'error', + { + patterns: [ + { + group: ['@react-spectrum'], + message: 'Use component from the @geti/ui folder instead.', + }, + { + group: ['@react-types/*'], + message: 'Use type from the @geti/ui folder instead.', + }, + { + group: ['@spectrum-icons'], + message: 'Use icons from the @geti/ui/icons folder instead.', + }, + ], + }, + ], + 'header/header': 'off', + }, + }, + { + settings: { + 'import/resolver': { + typescript: { + alwaysTryTypes: true, + project: ['./tsconfig.json', './tests/tsconfig.json'], + noWarnOnMultipleProjects: true, + }, + }, + }, + }, + ...compat.extends('plugin:playwright/playwright-test').map((config) => ({ + ...config, + files: ['tests/features/**/*.ts', 'tests/utils/**/*.ts', 'tests/fixtures/**/*.ts', 'tests/e2e/**/*.ts'], + })), + { + files: ['tests/features/**/*.ts', 'tests/utils/**/*.ts', 'tests/fixtures/**/*.ts', 'tests/e2e/**/*.ts'], + + rules: { + 'playwright/no-wait-for-selector': ['off'], + 'playwright/no-conditional-expect': ['off'], + 'playwright/no-standalone-expect': ['off'], + 'playwright/missing-playwright-await': ['warn'], + 'playwright/valid-expect': ['warn'], + 'playwright/no-useless-not': ['warn'], + 'playwright/no-page-pause': ['warn'], + 'playwright/prefer-to-have-length': ['warn'], + 'playwright/no-conditional-in-test': ['off'], + 'playwright/expect-expect': ['off'], + 'playwright/no-skipped-test': ['off'], + 'playwright/no-wait-for-timeout': ['off'], + 'playwright/no-nested-step': ['off'], + }, + }, +]; diff --git a/application/ui/mocks/mock-media-item.ts b/application/ui/mocks/mock-media-item.ts new file mode 100644 index 0000000000..483dbbfcbd --- /dev/null +++ b/application/ui/mocks/mock-media-item.ts @@ -0,0 +1,17 @@ +import { SchemaMediaList } from './../src/api/openapi-spec.d'; + +export const getMockedMediaItem = ( + data: Partial +): SchemaMediaList['media'][number] => { + return { + id: '1', + project_id: '123', + filename: 'test-image.jpg', + size: 1024, + is_anomalous: false, + width: 1920, + height: 1080, + created_at: '2024-01-01T00:00:00Z', + ...data, + }; +}; diff --git a/application/ui/mocks/mock-pipeline.ts b/application/ui/mocks/mock-pipeline.ts new file mode 100644 index 0000000000..d00f5f1287 --- /dev/null +++ b/application/ui/mocks/mock-pipeline.ts @@ -0,0 +1,36 @@ +import { SchemaPipeline } from './../src/api/openapi-spec.d'; + +export const getMockedPipeline = (customPipeline?: Partial): SchemaPipeline => { + return { + project_id: '123', + status: 'running' as const, + source: { + id: 'source-id', + name: 'source', + project_id: '123', + source_type: 'video_file' as const, + video_path: 'video.mp4', + }, + model: { + id: '1', + name: 'Object_Detection_TestModel', + format: 'onnx' as const, + project_id: '123', + threshold: 0.5, + is_ready: true, + train_job_id: 'train-job-1', + }, + sink: { + id: 'sink-id', + name: 'sink', + project_id: '123', + folder_path: 'data/sink', + output_formats: ['image_original', 'image_with_predictions', 'predictions'] as Array< + 'image_original' | 'image_with_predictions' | 'predictions' + >, + rate_limit: 0.2, + sink_type: 'folder' as const, + }, + ...customPipeline, + }; +}; diff --git 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"private": true, + "type": "module", + "engines": { + "node": ">=v24.2.0", + "npm": ">=11.3.0" + }, + "scripts": { + "build": "rsbuild build", + "build:api:types": "npx openapi-typescript ./src/api/openapi-spec.json -o ./src/api/openapi-spec.d.ts --root-types && prettier --write src/api/openapi-spec.d.ts", + "build:api:download": "curl -o ./src/api/openapi-spec.json http://localhost:8000/api/openapi.json && prettier --write src/api/openapi-spec.json", + "build:api": "npm run build:api:download && npm run build:api:types", + "clone-geti-ui-packages": "npx degit git@github.com:open-edge-platform/geti.git/web_ui/packages/config packages/config --force && npx degit git@github.com:open-edge-platform/geti.git/web_ui/packages/ui packages/ui --force", + "cyclic-deps-check": "npx madge --circular src/**/*.ts*", + "dev": "concurrently -n Server,UI -c blue,yellow \"npm run server\" \"npm start\"", + "server": "cd ../backend && ./run.sh", + "start": "rsbuild dev", + "format": "prettier --write .", + "format:check": "prettier --check --cache \"./src/**/*.{js,ts,jsx,tsx,css,scss,sass}\"", + "lint": "eslint \"src/**/*.ts*\" --max-warnings 0", + "lint:fix": "eslint --fix \"./src/**/*.ts*\"", + "preinstall": "npm run clone-geti-ui-packages", + "preview": "rsbuild preview", + "test:unit": "vitest --config vitest.config.ts", + "test:unit:watch": "vitest --config vitest.config.ts --reporter=verbose --watch", + "test:component": "npx playwright test --config=playwright.config.ts", + "type-check": "tsc --noEmit" + }, + "dependencies": { + "@geti/config": "*", + "@geti/ui": "*", + "@scalar/api-reference-react": "^0.7.49", + "@tanstack/react-query": "^5.80.10", + "clsx": "^2.1.1", + "comlink": "^4.4.2", + "lodash-es": "^4.17.21", + "motion": "^12.23.24", + "openapi-fetch": "^0.14.0", + "openapi-react-query": "^0.5.0", + "react": "^19.1.1", + "react-aria-components": "^1.10.1", + "react-dom": "^19.1.1", + "react-error-boundary": "^3.1.4", + "react-router": "^6.30.1", + "react-router-dom": 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"^10.1.0", + "concurrently": "^9.2.1", + "eslint": "^9.25.1", + "eslint-import-resolver-typescript": "^4.3.4", + "eslint-plugin-header": "^3.1.1", + "eslint-plugin-import": "^2.31.0", + "eslint-plugin-jsx-a11y": "^6.10.2", + "eslint-plugin-playwright": "^2.2.0", + "eslint-plugin-react": "^7.37.5", + "eslint-plugin-react-compiler": "^19.1.0-rc.2", + "eslint-plugin-react-hooks": "^6.0.0-rc.2", + "identity-obj-proxy": "^3.0.0", + "jsdom": "^26.1.0", + "msw": "^2.11.3", + "node-fetch": "^3.3.2", + "openapi-msw": "^1.3.0", + "openapi-typescript": "^7.8.0", + "prettier": "^3.5.3", + "typescript": "^5.8.3", + "typescript-eslint": "^8.31.1", + "vite": "^7.0.6", + "vite-plugin-svgr": "^4.3.0", + "vite-tsconfig-paths": "^5.1.4", + "vitest": "^3.2.4" + }, + "workspaces": [ + "packages/*" + ], + "msw": { + "workerDirectory": [ + "public" + ] + } +} diff --git a/application/ui/playwright.config.ts b/application/ui/playwright.config.ts new file mode 100644 index 0000000000..c418505ca2 --- /dev/null +++ b/application/ui/playwright.config.ts @@ -0,0 +1,49 @@ +import { defineConfig, devices } from '@playwright/test'; + +const CI = !!process.env.CI; + +/** + * See https://playwright.dev/docs/test-configuration. + */ +export default defineConfig({ + testDir: './tests', + /* Run tests in files in parallel */ + fullyParallel: true, + /* Fail the build on CI if you accidentally left test.only in the source code. */ + forbidOnly: CI, + /* Retry on CI only */ + retries: process.env.CI ? 2 : 0, + /* Opt out of parallel tests on CI. */ + workers: process.env.CI ? 1 : undefined, + /* Reporter to use. See https://playwright.dev/docs/test-reporters */ + reporter: [[CI ? 'github' : 'list'], ['html', { open: 'never' }]], + use: { + baseURL: 'http://localhost:3000', + trace: CI ? 'on-first-retry' : 'on', + video: CI ? 'on-first-retry' : 'on', + launchOptions: { + slowMo: 100, + headless: true, + devtools: false, + }, + timezoneId: 'UTC', + actionTimeout: CI ? 10000 : 5000, + navigationTimeout: CI ? 10000 : 5000, + }, + + /* Configure projects for major browsers */ + projects: [ + { + name: 'Component tests', + use: { ...devices['Desktop Chrome'] }, + }, + ], + + /* Run your local dev server before starting the tests */ + webServer: { + command: CI ? 'npx serve -s dist -p 3000' : 'npm run start', + name: 'client', + url: 'http://localhost:3000', + reuseExistingServer: CI === false, + }, +}); diff --git a/application/ui/rsbuild.config.ts b/application/ui/rsbuild.config.ts new file mode 100644 index 0000000000..41b369b664 --- /dev/null +++ b/application/ui/rsbuild.config.ts @@ -0,0 +1,55 @@ +import { defineConfig, loadEnv } from '@rsbuild/core'; +import { pluginReact } from '@rsbuild/plugin-react'; +import { pluginSass } from '@rsbuild/plugin-sass'; +import { pluginSvgr } from '@rsbuild/plugin-svgr'; + +const { publicVars } = loadEnv({ prefixes: ['PUBLIC_'] }); + +export default defineConfig({ + plugins: [ + pluginReact(), + + pluginSass(), + + pluginSvgr({ + svgrOptions: { + exportType: 'named', + }, + }), + ], + + source: { + define: { + ...publicVars, + 'import.meta.env.PUBLIC_API_BASE_URL': + publicVars['import.meta.env.PUBLIC_API_BASE_URL'] ?? '"http://localhost:8000"', + 'process.env.PUBLIC_API_BASE_URL': + publicVars['process.env.PUBLIC_API_BASE_URL'] ?? '"http://localhost:8000"', + // Needed to prevent an issue with spectrum's picker + // eslint-disable-next-line max-len + // https://github.com/adobe/react-spectrum/blob/6173beb4dad153aef74fc81575fd97f8afcf6cb3/packages/%40react-spectrum/overlays/src/OpenTransition.tsx#L40 + 'process.env': {}, + }, + }, + html: { + title: 'Geti Inspect', + favicon: './src/assets/icons/build-icon.svg', + }, + tools: { + rspack: { + watchOptions: { + ignored: ['**/src-tauri/**'], + }, + }, + }, + server: { + proxy: { + '/api': { + target: 'http://localhost:8000', + changeOrigin: true, + ws: true, + //pathRewrite: { '^/api': '' }, // strip the /api prefix + }, + }, + }, +}); diff --git a/application/ui/src/api/client.ts b/application/ui/src/api/client.ts new file mode 100644 index 0000000000..8b5e27979b --- /dev/null +++ b/application/ui/src/api/client.ts @@ -0,0 +1,10 @@ +import createFetchClient from 'openapi-fetch'; +import createClient from 'openapi-react-query'; + +import type { paths } from './openapi-spec'; // generated by openapi-typescript + +export const API_BASE_URL = import.meta.env.PUBLIC_API_BASE_URL || ''; + +export const fetchClient = createFetchClient({ baseUrl: API_BASE_URL }); + +export const $api = createClient(fetchClient); diff --git a/application/ui/src/api/fetch-sse.ts b/application/ui/src/api/fetch-sse.ts new file mode 100644 index 0000000000..5b64d39eab --- /dev/null +++ b/application/ui/src/api/fetch-sse.ts @@ -0,0 +1,46 @@ +// Connect to an SSE endpoint and yield its messages +export function fetchSSE(url: string) { + return { + async *[Symbol.asyncIterator]() { + const eventSource = new EventSource(url); + + try { + let { promise, resolve, reject } = Promise.withResolvers(); + + eventSource.onmessage = (event) => { + if (event.data === 'DONE' || event.data.includes('COMPLETED')) { + eventSource.close(); + resolve('DONE'); + return; + } + resolve(event.data); + }; + + eventSource.onerror = (error) => { + eventSource.close(); + reject(new Error('EventSource failed: ' + error)); + }; + + // Keep yielding data as it comes in + while (true) { + const message = await promise; + + // If server sends 'DONE' message or similar, break the loop + if (message === 'DONE') { + break; + } + + try { + yield JSON.parse(message); + } catch { + console.error('Could not parse message:', message); + } + + ({ promise, resolve, reject } = Promise.withResolvers()); + } + } finally { + eventSource.close(); + } + }, + }; +} diff --git a/application/ui/src/api/utils.ts b/application/ui/src/api/utils.ts new file mode 100644 index 0000000000..7e427774a0 --- /dev/null +++ b/application/ui/src/api/utils.ts @@ -0,0 +1,28 @@ +import { fromOpenApi } from '@mswjs/source/open-api'; +import { createOpenApiHttp, OpenApiHttpHandlers } from 'openapi-msw'; + +import { paths } from './openapi-spec'; +import spec from './openapi-spec.json' with { type: 'json' }; + +const handlers = await fromOpenApi(JSON.stringify(spec).replace(/}:/g, '}//:')); + +const getOpenApiHttp = (): OpenApiHttpHandlers => { + const http = createOpenApiHttp({ + baseUrl: process.env.PUBLIC_API_BASE_URL ?? 'http://localhost:8000', + }); + + return { + ...http, + post: (path, ...other) => { + // @ts-expect-error MSW internal parsing function does not accept paths like + // `/api/models/{model_name}:activate` + // to get around this we escape the colon character with `\\` + // @see https://github.com/mswjs/msw/discussions/739 + return http.post(path.replace('}:', '}\\:'), ...other); + }, + }; +}; + +const http = getOpenApiHttp(); + +export { handlers, http }; diff --git a/application/ui/src/assets/background.png b/application/ui/src/assets/background.png new file mode 100644 index 0000000000..0fd713cf1d Binary files /dev/null and b/application/ui/src/assets/background.png differ diff --git a/application/ui/src/assets/graph.svg b/application/ui/src/assets/graph.svg new file mode 100644 index 0000000000..4556b903fb --- /dev/null +++ b/application/ui/src/assets/graph.svg @@ -0,0 +1,52 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/application/ui/src/assets/icons/build-icon.svg b/application/ui/src/assets/icons/build-icon.svg new file mode 100644 index 0000000000..9d01dc6f22 --- /dev/null +++ b/application/ui/src/assets/icons/build-icon.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/application/ui/src/assets/icons/camera-off.svg b/application/ui/src/assets/icons/camera-off.svg new file mode 100644 index 0000000000..5cae18dfd9 --- /dev/null +++ b/application/ui/src/assets/icons/camera-off.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/application/ui/src/assets/icons/camera.svg b/application/ui/src/assets/icons/camera.svg new file mode 100644 index 0000000000..5fde282993 --- /dev/null +++ b/application/ui/src/assets/icons/camera.svg @@ -0,0 +1,5 @@ + + + + + diff --git a/application/ui/src/assets/icons/dataset.svg b/application/ui/src/assets/icons/dataset.svg new file mode 100644 index 0000000000..ba8d8fe4b7 --- /dev/null +++ b/application/ui/src/assets/icons/dataset.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/application/ui/src/assets/icons/double-chevron-right-icon.svg b/application/ui/src/assets/icons/double-chevron-right-icon.svg new file mode 100644 index 0000000000..f95e858065 --- /dev/null +++ b/application/ui/src/assets/icons/double-chevron-right-icon.svg @@ -0,0 +1,4 @@ + + + + diff --git a/application/ui/src/assets/icons/error-icon.svg b/application/ui/src/assets/icons/error-icon.svg new file mode 100644 index 0000000000..73b203e9c2 --- /dev/null +++ b/application/ui/src/assets/icons/error-icon.svg @@ -0,0 +1,5 @@ + + + + + diff --git a/application/ui/src/assets/icons/fire-works.svg b/application/ui/src/assets/icons/fire-works.svg new file mode 100644 index 0000000000..449f6a25a0 --- /dev/null +++ b/application/ui/src/assets/icons/fire-works.svg @@ -0,0 +1,44 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/application/ui/src/assets/icons/folder-arrow-right.svg b/application/ui/src/assets/icons/folder-arrow-right.svg new file mode 100644 index 0000000000..a6b868456f --- /dev/null +++ b/application/ui/src/assets/icons/folder-arrow-right.svg @@ -0,0 +1,3 @@ + + + diff --git a/application/ui/src/assets/icons/folder.svg b/application/ui/src/assets/icons/folder.svg new file mode 100644 index 0000000000..e89579ac68 --- /dev/null +++ b/application/ui/src/assets/icons/folder.svg @@ -0,0 +1,3 @@ + + + diff --git a/application/ui/src/assets/icons/genicam.svg b/application/ui/src/assets/icons/genicam.svg new file mode 100644 index 0000000000..9dec1beb57 --- /dev/null +++ b/application/ui/src/assets/icons/genicam.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/application/ui/src/assets/icons/image.svg b/application/ui/src/assets/icons/image.svg new file mode 100644 index 0000000000..0356c0da2e --- /dev/null +++ b/application/ui/src/assets/icons/image.svg @@ -0,0 +1,5 @@ + + + + + diff --git a/application/ui/src/assets/icons/images-folder.svg b/application/ui/src/assets/icons/images-folder.svg new file mode 100644 index 0000000000..9e9575e3f9 --- /dev/null +++ b/application/ui/src/assets/icons/images-folder.svg @@ -0,0 +1,9 @@ + + + + + + + + + diff --git a/application/ui/src/assets/icons/index.ts b/application/ui/src/assets/icons/index.ts new file mode 100644 index 0000000000..f11e6490b8 --- /dev/null +++ b/application/ui/src/assets/icons/index.ts @@ -0,0 +1,25 @@ +export { ReactComponent as BuildIcon } from './build-icon.svg'; +export { ReactComponent as CameraOff } from './camera-off.svg'; +export { ReactComponent as Camera } from './camera.svg'; +export { ReactComponent as Dataset } from './dataset.svg'; +export { ReactComponent as DoubleChevronRightIcon } from './double-chevron-right-icon.svg'; +export { ReactComponent as ErrorIcon } from './error-icon.svg'; +export { ReactComponent as FolderArrowRight } from './folder-arrow-right.svg'; +export { ReactComponent as Genicam } from './genicam.svg'; +export { ReactComponent as ImagesFolder } from './images-folder.svg'; +export { ReactComponent as IpCamera } from './ip-camera.svg'; +export { ReactComponent as LiveFeedIcon } from './live-feed-icon.svg'; +export { ReactComponent as Models } from './models.svg'; +export { ReactComponent as Mqtt } from './mqtt.svg'; +export { ReactComponent as Ros } from './ros.svg'; +export { ReactComponent as Stats } from './stats.svg'; +export { ReactComponent as SuccessIcon } from './success-icon.svg'; +export { ReactComponent as ThreeDotsCircle } from './three-dots-circle.svg'; +export { ReactComponent as VideoFile } from './video-file.svg'; +export { ReactComponent as Webcam } from './webcam.svg'; +export { ReactComponent as Webhook } from './webhook.svg'; +export { ReactComponent as Image } from './image.svg'; +export { ReactComponent as Fireworks } from './fire-works.svg'; +export { ReactComponent as PipelineLink } from './pipeline-link.svg'; +export { ReactComponent as Folder } from './folder.svg'; +export { ReactComponent as LinkExpired } from './link-expired.svg'; diff --git a/application/ui/src/assets/icons/ip-camera.svg b/application/ui/src/assets/icons/ip-camera.svg new file mode 100644 index 0000000000..a5d70b9e60 --- /dev/null +++ b/application/ui/src/assets/icons/ip-camera.svg @@ -0,0 +1,9 @@ + + + + + + + + + diff --git a/application/ui/src/assets/icons/link-expired.svg b/application/ui/src/assets/icons/link-expired.svg new file mode 100644 index 0000000000..b277f60db9 --- /dev/null +++ b/application/ui/src/assets/icons/link-expired.svg @@ -0,0 +1,72 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/application/ui/src/assets/icons/live-feed-icon.svg b/application/ui/src/assets/icons/live-feed-icon.svg new file mode 100644 index 0000000000..b4e133c7c2 --- /dev/null +++ b/application/ui/src/assets/icons/live-feed-icon.svg @@ -0,0 +1,4 @@ + + + + diff --git a/application/ui/src/assets/icons/models.svg b/application/ui/src/assets/icons/models.svg new file mode 100644 index 0000000000..14d24c2694 --- /dev/null +++ b/application/ui/src/assets/icons/models.svg @@ -0,0 +1,3 @@ + + + diff --git a/application/ui/src/assets/icons/mqtt.svg b/application/ui/src/assets/icons/mqtt.svg new file mode 100644 index 0000000000..81a817bbf2 --- /dev/null +++ b/application/ui/src/assets/icons/mqtt.svg @@ -0,0 +1,10 @@ + + + + + + + + + + diff --git a/application/ui/src/assets/icons/pipeline-link.svg b/application/ui/src/assets/icons/pipeline-link.svg new file mode 100644 index 0000000000..a96cf458a9 --- /dev/null +++ b/application/ui/src/assets/icons/pipeline-link.svg @@ -0,0 +1,5 @@ + + + + + diff --git a/application/ui/src/assets/icons/ros.svg b/application/ui/src/assets/icons/ros.svg new file mode 100644 index 0000000000..891abb328e --- /dev/null +++ b/application/ui/src/assets/icons/ros.svg @@ -0,0 +1,18 @@ + + + + + + + + + + + + + + + + + + diff --git a/application/ui/src/assets/icons/stats.svg b/application/ui/src/assets/icons/stats.svg new file mode 100644 index 0000000000..96d456ff61 --- /dev/null +++ b/application/ui/src/assets/icons/stats.svg @@ -0,0 +1,7 @@ + + + + + + + diff --git a/application/ui/src/assets/icons/success-icon.svg b/application/ui/src/assets/icons/success-icon.svg new file mode 100644 index 0000000000..dd4e527f23 --- /dev/null +++ b/application/ui/src/assets/icons/success-icon.svg @@ -0,0 +1,4 @@ + + + + diff --git a/application/ui/src/assets/icons/three-dots-circle.svg b/application/ui/src/assets/icons/three-dots-circle.svg new file mode 100644 index 0000000000..40dda9c37d --- /dev/null +++ b/application/ui/src/assets/icons/three-dots-circle.svg @@ -0,0 +1,3 @@ + + + diff --git a/application/ui/src/assets/icons/video-file.svg b/application/ui/src/assets/icons/video-file.svg new file mode 100644 index 0000000000..89bd0bc044 --- /dev/null +++ b/application/ui/src/assets/icons/video-file.svg @@ -0,0 +1,9 @@ + + + + + + + + + diff --git a/application/ui/src/assets/icons/webcam.svg b/application/ui/src/assets/icons/webcam.svg new file mode 100644 index 0000000000..147d4f75e7 --- /dev/null +++ b/application/ui/src/assets/icons/webcam.svg @@ -0,0 +1,9 @@ + + + + + + + + + diff --git a/application/ui/src/assets/icons/webhook.svg b/application/ui/src/assets/icons/webhook.svg new file mode 100644 index 0000000000..8d63fb3958 --- /dev/null +++ b/application/ui/src/assets/icons/webhook.svg @@ -0,0 +1,3 @@ + + + diff --git a/application/ui/src/assets/mocked-project-thumbnail.png b/application/ui/src/assets/mocked-project-thumbnail.png new file mode 100644 index 0000000000..96111a4705 Binary files /dev/null and b/application/ui/src/assets/mocked-project-thumbnail.png differ diff --git a/application/ui/src/components/disclosure-group/disclosure-group.component.tsx b/application/ui/src/components/disclosure-group/disclosure-group.component.tsx new file mode 100644 index 0000000000..fde916295a --- /dev/null +++ b/application/ui/src/components/disclosure-group/disclosure-group.component.tsx @@ -0,0 +1,67 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { ReactNode, useState } from 'react'; + +import { Disclosure, DisclosurePanel, DisclosureTitle, Flex, Text } from '@geti/ui'; +import { clsx } from 'clsx'; +import { isFunction } from 'lodash-es'; + +import styles from './disclosure-group.module.scss'; + +type DisclosureItem = { value: string; label: string; icon: ReactNode; content?: ReactNode }; + +type DisclosureItemProps = { + value: string | null; + onChange?: (value: string) => void; + item: DisclosureItem; +}; + +interface DisclosureGroupProps { + items: DisclosureItem[]; + defaultActiveInput: string | null; +} + +const DisclosureItem = ({ item, value, onChange }: DisclosureItemProps) => { + const isExpanded = item.value === value; + + const handleExpandedChange = () => { + isFunction(onChange) && onChange(item.value); + }; + + return ( + + + + + {item.icon} + {item.label} + + + + {isExpanded && item.content} + + ); +}; + +export const DisclosureGroup = ({ items, defaultActiveInput }: DisclosureGroupProps) => { + const [activeInput, setActiveInput] = useState(defaultActiveInput); + + const handleActiveInputChange = (value: string) => { + setActiveInput((prevValue) => (value !== prevValue ? value : null)); + }; + + return ( + + {items.map((item) => ( + + ))} + + ); +}; diff --git a/application/ui/src/components/disclosure-group/disclosure-group.module.scss b/application/ui/src/components/disclosure-group/disclosure-group.module.scss new file mode 100644 index 0000000000..2e3215a40e --- /dev/null +++ b/application/ui/src/components/disclosure-group/disclosure-group.module.scss @@ -0,0 +1,17 @@ +.disclosure { + background-color: var(--spectrum-global-color-gray-75); + border: var(--spectrum-alias-border-size-thin) solid var(--spectrum-global-color-gray-200) !important; + border-radius: var(--spectrum-alias-border-radius-regular); +} + +.selected { + border: var(--spectrum-alias-border-size-thick) solid var(--energy-blue) !important; +} + +.disclosureTitleContainer { + width: 100%; +} + +.disclosureTitle { + font-size: var(--spectrum-global-dimension-font-size-75); +} diff --git a/application/ui/src/components/error-page/error-page.tsx b/application/ui/src/components/error-page/error-page.tsx new file mode 100644 index 0000000000..24be6dda50 --- /dev/null +++ b/application/ui/src/components/error-page/error-page.tsx @@ -0,0 +1,68 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { Button, Heading, IllustratedMessage, View } from '@geti/ui'; +import { NotFound } from '@geti/ui/icons'; +import { isRouteErrorResponse, useRouteError } from 'react-router'; + +import { paths } from '../../routes/paths'; +import { redirectTo } from '../../routes/utils'; + +const useErrorMessage = () => { + const error = useRouteError(); + + if (isRouteErrorResponse(error)) { + if (error.status === 400) { + return 'The server cannot or will not process the current request.'; + } + + if (error.status === 403) { + return 'You do not have permission to access this page.'; + } + + if (error.status === 404) { + return "This page doesn't exist!"; + } + + if (error.status === 401) { + return "You aren't authorized to see this"; + } + + if (error.status === 500) { + return 'The server encountered an error and could not complete your request.'; + } + + if (error.status === 503) { + return 'Looks like our API is down'; + } + } + + if (error instanceof TypeError) { + return error.message; + } + + return 'An unknown error occurred'; +}; + +export const ErrorPage = () => { + const message = useErrorMessage(); + + return ( + + + + {message} + + + + + ); +}; diff --git a/application/ui/src/components/radio-disclosure-group/radio-disclosure-group.module.scss b/application/ui/src/components/radio-disclosure-group/radio-disclosure-group.module.scss new file mode 100644 index 0000000000..f3db77237d --- /dev/null +++ b/application/ui/src/components/radio-disclosure-group/radio-disclosure-group.module.scss @@ -0,0 +1,24 @@ +.disclosureTitle > button { + flex-direction: row-reverse; + justify-content: space-between; +} + +.disclosure { + border: var(--spectrum-global-dimension-size-40) solid var(--spectrum-global-color-gray-200); + border-radius: var(--spectrum-global-dimension-size-50); + + background-color: var(--spectrum-global-color-gray-75); +} + +.disclosure[data-expanded='true'] { + border-color: var(--energy-blue); +} + +.disclosurePanel { + padding: 0; +} + +.radio { + display: flex; + align-items: center; +} diff --git a/application/ui/src/components/radio-disclosure-group/radio-disclosure-group.tsx b/application/ui/src/components/radio-disclosure-group/radio-disclosure-group.tsx new file mode 100644 index 0000000000..924ee8a453 --- /dev/null +++ b/application/ui/src/components/radio-disclosure-group/radio-disclosure-group.tsx @@ -0,0 +1,59 @@ +import { ReactNode } from 'react'; + +import { Disclosure, DisclosurePanel, DisclosureTitle, Flex, Radio, RadioGroup, View } from '@geti/ui'; + +import classes from './radio-disclosure-group.module.scss'; + +export const RadioDisclosure = ({ + value, + setValue, + items, + ariaLabel, +}: { + value: ValueType; + setValue: (value: ValueType) => void; + items: Array<{ + value: ValueType; + label: ReactNode; + content: ReactNode; + }>; + ariaLabel?: string; +}) => { + return ( + { + setValue(newValue as ValueType); + }} + aria-label={ariaLabel} + value={value} + > + + {items.map((item) => { + return ( + expanded && setValue(item.value)} + isExpanded={item.value === value} + UNSAFE_className={classes.disclosure} + > + + + + + {item.label} + + + + + + {item.content} + + + ); + })} + + + ); +}; diff --git a/application/ui/src/components/required-text-field/required-text-field.component.tsx b/application/ui/src/components/required-text-field/required-text-field.component.tsx new file mode 100644 index 0000000000..2355bbcb69 --- /dev/null +++ b/application/ui/src/components/required-text-field/required-text-field.component.tsx @@ -0,0 +1,21 @@ +import { ComponentProps, useRef } from 'react'; + +import { TextField } from '@geti/ui'; +import { isEmpty } from 'lodash-es'; + +interface RequiredTextFieldProps extends Omit, 'onFocus' | 'isRequired' | 'validate'> { + errorMessage: string; +} + +export const RequiredTextField = ({ errorMessage, ...props }: RequiredTextFieldProps) => { + const isTouched = useRef(false); + + return ( + (isTouched.current = true)} + validate={(value) => (isEmpty(value.trim()) && isTouched.current ? errorMessage : '')} + /> + ); +}; diff --git a/application/ui/src/components/required-text-field/required-text-field.test.tsx b/application/ui/src/components/required-text-field/required-text-field.test.tsx new file mode 100644 index 0000000000..5a491141e4 --- /dev/null +++ b/application/ui/src/components/required-text-field/required-text-field.test.tsx @@ -0,0 +1,25 @@ +import { render, screen } from '@testing-library/react'; +import userEvent from '@testing-library/user-event'; + +import { RequiredTextField } from './required-text-field.component'; + +describe('RequiredTextField', () => { + const errorMessage = 'This field is required'; + + it('does not display the error message before the input is interacted with', () => { + render(); + + expect(screen.queryByText(errorMessage)).not.toBeInTheDocument(); + }); + + it('shows error message when field has been touched and is empty', async () => { + render(); + + const input = screen.getByLabelText(/Required Text Field/i); + + await userEvent.type(input, 'test'); + await userEvent.clear(input); + + expect(await screen.findByText(errorMessage)).toBeVisible(); + }); +}); diff --git a/application/ui/src/components/status-tag/status-tag.component.tsx b/application/ui/src/components/status-tag/status-tag.component.tsx new file mode 100644 index 0000000000..ac4305855f --- /dev/null +++ b/application/ui/src/components/status-tag/status-tag.component.tsx @@ -0,0 +1,32 @@ +import { clsx } from 'clsx'; +import { Flex, Text } from 'packages/ui'; + +import classes from './status-tag.module.scss'; + +interface StatusTagProps { + isError?: boolean; + isConnected?: boolean; +} + +export const StatusTag = ({ isConnected = false, isError = false }: StatusTagProps) => { + if (isError) { + return ( + +
+ Error + + ); + } + return ( + +
+ {isConnected ? 'Connected' : 'Disconnected'} + + ); +}; diff --git a/application/ui/src/components/status-tag/status-tag.module.scss b/application/ui/src/components/status-tag/status-tag.module.scss new file mode 100644 index 0000000000..e6a41d3dfe --- /dev/null +++ b/application/ui/src/components/status-tag/status-tag.module.scss @@ -0,0 +1,20 @@ +.container { + padding: var(--spectrum-global-dimension-size-75) var(--spectrum-global-dimension-size-150); + background: var(--spectrum-global-color-gray-300); + border-radius: var(--spectrum-global-dimension-size-200); +} + +.status { + border-radius: 50%; + background: var(--electric-daisy); + width: var(--spectrum-global-dimension-size-130); + height: var(--spectrum-global-dimension-size-130); +} + +.connected { + background: var(--aqua); +} + +.disconnected { + background: var(--coral); +} diff --git a/application/ui/src/components/stream/web-rtc-connection-provider.test.tsx b/application/ui/src/components/stream/web-rtc-connection-provider.test.tsx new file mode 100644 index 0000000000..b78278e09b --- /dev/null +++ b/application/ui/src/components/stream/web-rtc-connection-provider.test.tsx @@ -0,0 +1,134 @@ +import { fireEvent, render } from '@testing-library/react'; +import { vi } from 'vitest'; + +import { Listener, WebRTCConnection, WebRTCConnectionStatus } from './web-rtc-connection'; +import { useWebRTCConnection, WebRTCConnectionProvider } from './web-rtc-connection-provider'; + +vi.mock('./web-rtc-connection.ts'); +class MockWebRTCConnection { + status: WebRTCConnectionStatus = 'idle'; + listeners: Listener[] = []; + + public getStatus() { + return this.status; + } + public getPeerConnection() { + return undefined; + } + public getId() { + return 'test'; + } + + public async start() { + this.status = 'connected'; + this.listeners.forEach((l) => l({ type: 'status_change', status: this.status })); + } + public async stop() { + this.status = 'idle'; + this.listeners.forEach((l) => l({ type: 'status_change', status: this.status })); + } + public subscribe(listener: Listener) { + this.listeners.push(listener); + return () => { + this.listeners = this.listeners.filter((currentListener) => currentListener !== listener); + }; + } +} + +describe('WebRTCConnectionProvider', () => { + beforeEach(() => { + // @ts-expect-error the mock implements all public methods + vi.mocked(WebRTCConnection).mockImplementation(() => { + return new MockWebRTCConnection(); + }); + }); + + const App = () => { + const { status, start, stop } = useWebRTCConnection(); + + return ( + <> + {status} + + + + ); + }; + + afterEach(() => { + vi.clearAllMocks(); + }); + + it('provides initial status as idle', () => { + const { getByLabelText } = render( + + + + ); + + expect(getByLabelText('status')).toHaveTextContent('idle'); + }); + + it('updates status to connected after start', () => { + const { getByLabelText } = render( + + + + ); + + fireEvent.click(getByLabelText('start')); + + expect(getByLabelText('status')).toHaveTextContent('connected'); + }); + + it('updates status to idle after stop', () => { + const { getByLabelText } = render( + + + + ); + + fireEvent.click(getByLabelText('start')); + + expect(getByLabelText('status')).toHaveTextContent('connected'); + + fireEvent.click(getByLabelText('stop')); + + expect(getByLabelText('status')).toHaveTextContent('idle'); + }); + + it('cleans up on unmount', () => { + const stopSpy = vi.spyOn(MockWebRTCConnection.prototype, 'stop'); + + const { unmount } = render( + + + + ); + + unmount(); + + expect(stopSpy).toHaveBeenCalled(); + }); + + it('handles status sequence: start -> stop -> start', () => { + const { getByLabelText } = render( + + + + ); + + fireEvent.click(getByLabelText('start')); + expect(getByLabelText('status')).toHaveTextContent('connected'); + + fireEvent.click(getByLabelText('stop')); + expect(getByLabelText('status')).toHaveTextContent('idle'); + + fireEvent.click(getByLabelText('start')); + expect(getByLabelText('status')).toHaveTextContent('connected'); + }); +}); diff --git a/application/ui/src/components/stream/web-rtc-connection-provider.tsx b/application/ui/src/components/stream/web-rtc-connection-provider.tsx new file mode 100644 index 0000000000..fcf0f55d84 --- /dev/null +++ b/application/ui/src/components/stream/web-rtc-connection-provider.tsx @@ -0,0 +1,91 @@ +import { createContext, ReactNode, RefObject, useCallback, useContext, useEffect, useRef, useState } from 'react'; + +import { WebRTCConnection, WebRTCConnectionStatus } from './web-rtc-connection'; + +export type WebRTCConnectionState = null | { + status: WebRTCConnectionStatus; + start: () => Promise; + stop: () => Promise; + webRTCConnectionRef: RefObject; +}; + +export const WebRTCConnectionContext = createContext(null); + +const useWebRTCConnectionState = () => { + const webRTCConnectionRef = useRef(null); + const [status, setStatus] = useState('idle'); + + // Initialize WebRTCConnection on mount + useEffect(() => { + if (webRTCConnectionRef.current) { + return; + } + + const webRTCConnection = new WebRTCConnection(); + webRTCConnectionRef.current = webRTCConnection; + + const unsubscribe = webRTCConnection.subscribe((event) => { + if (event.type === 'status_change') { + setStatus(event.status); + } + + if (event.type === 'error') { + console.error('WebRTC Connection Error:', event.error); + // Optionally update status to 'failed' if not already + if (webRTCConnectionRef.current?.getStatus() !== 'failed') { + setStatus('failed'); + } + } + }); + + return () => { + unsubscribe(); + webRTCConnection.stop(); // Ensure connection is closed on unmount + webRTCConnectionRef.current = null; + }; + }, []); + + const start = useCallback(async () => { + if (!webRTCConnectionRef.current) { + return; + } + + try { + await webRTCConnectionRef.current.start(); + } catch (error) { + console.error('Failed to start WebRTC connection:', error); + setStatus('failed'); + } + }, []); + + const stop = useCallback(async () => { + if (!webRTCConnectionRef.current) { + return; + } + + await webRTCConnectionRef.current.stop(); + }, []); + + return { + start, + stop, + status, + webRTCConnectionRef, + }; +}; + +export const WebRTCConnectionProvider = ({ children }: { children: ReactNode }) => { + const value = useWebRTCConnectionState(); + + return {children}; +}; + +export const useWebRTCConnection = () => { + const context = useContext(WebRTCConnectionContext); + + if (context === null) { + throw new Error('useWebRTCConnection was used outside of WebRTCConnectionProvider'); + } + + return context; +}; diff --git a/application/ui/src/components/stream/web-rtc-connection.ts b/application/ui/src/components/stream/web-rtc-connection.ts new file mode 100644 index 0000000000..2585d58157 --- /dev/null +++ b/application/ui/src/components/stream/web-rtc-connection.ts @@ -0,0 +1,247 @@ +import { fetchClient } from '../../api/client'; + +export type WebRTCConnectionStatus = 'idle' | 'connecting' | 'connected' | 'disconnected' | 'failed'; + +type WebRTCConnectionEvent = + | { + type: 'status_change'; + status: WebRTCConnectionStatus; + } + | { + type: 'error'; + error: Error; + }; + +export type Listener = (event: WebRTCConnectionEvent) => void; + +type SessionData = + | RTCSessionDescriptionInit + | { + status: 'failed'; + meta: { error: 'concurrency_limit_reached'; limit: number }; + }; + +const CONNECTION_TIMEOUT = 5000; +const CLOSE_CONNECTION_DELAY = 500; + +export class WebRTCConnection { + private peerConnection: RTCPeerConnection | undefined; + private webrtcId: string; + private status: WebRTCConnectionStatus = 'idle'; + private dataChannel: RTCDataChannel | undefined; + + private listeners: Array = []; + private timeoutId?: ReturnType; + + constructor() { + // TODO: replace with uuid + this.webrtcId = Math.random().toString(36).substring(7); + } + + public getStatus(): WebRTCConnectionStatus { + return this.status; + } + + public getPeerConnection(): RTCPeerConnection | undefined { + return this.peerConnection; + } + + public getId(): string { + return this.webrtcId; + } + + public async start(): Promise { + if (this.hasActiveConnection()) { + console.warn('WebRTC connection is already active or in progress.'); + return; + } + + this.updateStatus('connecting'); + this.peerConnection = new RTCPeerConnection(); + this.timeoutId = setTimeout(() => { + console.warn('Connection is taking longer than usual. Are you on a VPN?'); + }, CONNECTION_TIMEOUT); + + try { + this.setupPeerConnection(); + + await this.createAndSetOffer(); + await this.waitForIceGathering(); + + const data = await this.sendOffer(); + + if (!this.handleOfferResponse(data)) return; + + this.setupConnectionStateListener(); + } catch (err) { + clearTimeout(this.timeoutId); + console.error('Error setting up WebRTC:', err); + this.emit({ type: 'error', error: err as Error }); + this.updateStatus('failed'); + this.stop(); + } + + if (this.peerConnection) { + this.peerConnection.getTransceivers().forEach((t) => (t.direction = 'recvonly')); + } + } + + private setupPeerConnection() { + if (!this.peerConnection) return; + + this.peerConnection.addTransceiver('video', { direction: 'recvonly' }); + this.dataChannel = this.peerConnection.createDataChannel('text'); + this.dataChannel.onopen = () => { + this.dataChannel?.send('handshake'); + }; + } + + private async createAndSetOffer() { + if (!this.peerConnection) return; + + const offer = await this.peerConnection.createOffer(); + + await this.peerConnection.setLocalDescription(offer); + } + + private async waitForIceGathering(): Promise { + await new Promise((resolve) => { + if (!this.peerConnection || this.peerConnection.iceGatheringState === 'complete') { + resolve(); + return; + } + + const checkState = () => { + if (this.peerConnection && this.peerConnection.iceGatheringState === 'complete') { + this.peerConnection.removeEventListener('icegatheringstatechange', checkState); + resolve(); + } + }; + + this.peerConnection?.addEventListener('icegatheringstatechange', checkState); + }); + } + + private async sendOffer(): Promise { + if (!this.peerConnection) return; + + const { data } = await fetchClient.POST('/api/webrtc/offer', { + body: { + sdp: this.peerConnection.localDescription?.sdp ?? '', + type: this.peerConnection.localDescription?.type ?? '', + webrtc_id: this.webrtcId, + }, + }); + + return data as SessionData; + } + + private async handleOfferResponse(data: SessionData | undefined): Promise { + if (!data) return false; + + if ('status' in data && data.status === 'failed') { + const errorMessage = + data.meta.error === 'concurrency_limit_reached' + ? `Too many connections. Maximum limit is ${data.meta.limit}` + : data.meta.error; + + console.error(errorMessage); + + this.emit({ type: 'error', error: new Error(errorMessage) }); + + return false; + } + + if (this.peerConnection) { + await this.peerConnection.setRemoteDescription(data as RTCSessionDescriptionInit); + } + + return true; + } + + private setupConnectionStateListener() { + if (!this.peerConnection) return; + + this.peerConnection.addEventListener('connectionstatechange', () => { + if (!this.peerConnection) return; + + switch (this.peerConnection.connectionState) { + case 'connected': + this.updateStatus('connected'); + clearTimeout(this.timeoutId); + break; + case 'disconnected': + this.updateStatus('disconnected'); + break; + case 'failed': + this.updateStatus('failed'); + this.emit({ type: 'error', error: new Error('WebRTC connection failed.') }); + break; + case 'closed': + this.updateStatus('disconnected'); + break; + default: + this.updateStatus('connecting'); + break; + } + }); + } + + public async stop(): Promise { + if (!this.peerConnection) { + return; + } + + const transceivers = this.peerConnection.getTransceivers(); + + transceivers.forEach((transceiver) => { + if (transceiver.stop) { + transceiver.stop(); + } + }); + + const senders = this.peerConnection.getSenders(); + + senders.forEach((sender) => { + if (sender.track && sender.track.stop) sender.track.stop(); + }); + + // Give a brief moment for tracks to stop before closing the connection + await new Promise((resolve) => + setTimeout(() => { + if (this.peerConnection) { + this.peerConnection.close(); + this.peerConnection = undefined; + this.updateStatus('idle'); + } + + resolve(); + }, CLOSE_CONNECTION_DELAY) + ); + } + + public subscribe(listener: Listener): () => void { + this.listeners.push(listener); + + return () => this.unsubscribe(listener); + } + + private hasActiveConnection(): boolean { + return this.peerConnection !== undefined && this.status !== 'idle' && this.status !== 'disconnected'; + } + + private unsubscribe(listener: Listener) { + this.listeners = this.listeners.filter((currentListener) => currentListener !== listener); + } + + private emit(event: WebRTCConnectionEvent) { + this.listeners.forEach((listener) => listener(event)); + } + + private updateStatus(newStatus: WebRTCConnectionStatus) { + if (this.status !== newStatus) { + this.status = newStatus; + this.emit({ type: 'status_change', status: newStatus }); + } + } +} diff --git a/application/ui/src/components/zoom/use-container-size.ts b/application/ui/src/components/zoom/use-container-size.ts new file mode 100644 index 0000000000..783dd30ca5 --- /dev/null +++ b/application/ui/src/components/zoom/use-container-size.ts @@ -0,0 +1,27 @@ +import { RefObject, useState } from 'react'; + +import { useResizeObserver } from '@react-aria/utils'; + +export const useContainerSize = (ref: RefObject) => { + const [size, setSize] = useState({ width: 100, height: 100 }); + useResizeObserver({ + ref, + box: 'border-box', + onResize: () => { + if (!ref.current) { + return; + } + + if (size.width === ref.current.clientWidth && size.height === ref.current.clientHeight) { + return; + } + + setSize({ + width: ref.current.clientWidth, + height: ref.current.clientHeight, + }); + }, + }); + + return size; +}; diff --git a/application/ui/src/components/zoom/zoom-transform.tsx b/application/ui/src/components/zoom/zoom-transform.tsx new file mode 100755 index 0000000000..80807ff057 --- /dev/null +++ b/application/ui/src/components/zoom/zoom-transform.tsx @@ -0,0 +1,77 @@ +import { ReactNode, useEffect, useMemo, useRef } from 'react'; + +import { useContainerSize } from './use-container-size'; +import { useSetZoom, useZoom } from './zoom'; + +import classes from './zoom.module.scss'; + +type Size = { width: number; height: number }; + +const DEFAULT_SCREEN_ZOOM = 0.9; +const getCenterCoordinates = (container: Size, target: Size) => { + // Scale image so that it fits perfectly in the container + const scale = DEFAULT_SCREEN_ZOOM * Math.min(container.width / target.width, container.height / target.height); + + return { + scale, + // Center image + translate: { + x: container.width / 2 - target.width / 2, + y: container.height / 2 - target.height / 2, + }, + }; +}; + +const INITIAL_ZOOM = { scale: 1.0, translate: { x: 0, y: 0 } }; +const SyncZoom = ({ container, target }: { container: Size; target: Size }) => { + const setZoom = useSetZoom(); + + const targetZoom = useMemo(() => { + if (container.width === undefined || container.height === undefined) { + return INITIAL_ZOOM; + } + + return getCenterCoordinates({ width: container.width, height: container.height }, target); + }, [container, target]); + + useEffect(() => { + setZoom({ + scale: Number(targetZoom.scale.toFixed(3)), + translate: { + x: Number(targetZoom.translate.x.toFixed(3)), + y: Number(targetZoom.translate.y.toFixed(3)), + }, + }); + }, [targetZoom.scale, targetZoom.translate.x, targetZoom.translate.y, setZoom]); + + return null; +}; + +export const ZoomTransform = ({ children, target }: { children: ReactNode; target: Size }) => { + const zoom = useZoom(); + const ref = useRef(null); + const containerSize = useContainerSize(ref); + + return ( +
+
+ + {children} +
+
+ ); +}; diff --git a/application/ui/src/components/zoom/zoom.module.scss b/application/ui/src/components/zoom/zoom.module.scss new file mode 100644 index 0000000000..ba21b920d7 --- /dev/null +++ b/application/ui/src/components/zoom/zoom.module.scss @@ -0,0 +1,17 @@ +.wrapper { + overflow: hidden; + position: relative; + padding: 0; + margin: 0; + width: 100%; + height: 100%; + user-select: none; +} + +.wrapperInternal { + display: flex; + flex-wrap: wrap; + width: fit-content; + height: fit-content; + transform-origin: center; +} diff --git a/application/ui/src/components/zoom/zoom.test.tsx b/application/ui/src/components/zoom/zoom.test.tsx new file mode 100644 index 0000000000..ebf96a256a --- /dev/null +++ b/application/ui/src/components/zoom/zoom.test.tsx @@ -0,0 +1,32 @@ +import { render, screen } from '@testing-library/react'; +import { vi } from 'vitest'; + +import { useContainerSize } from './use-container-size'; +import { ZoomProvider } from './zoom'; +import { ZoomTransform } from './zoom-transform'; + +vi.mock('./use-container-size', () => ({ + useContainerSize: vi.fn(), +})); + +describe('Zoom', () => { + it('Scales and translates content so that it fits the screen', () => { + const screenSize = { width: 100, height: 500 }; + const contentSize = { width: 300, height: 200 }; + const expectedZoom = { translate: { x: -100, y: 150 }, scale: 0.3 }; + + vi.mocked(useContainerSize).mockImplementation(() => screenSize); + + render( + + Content + + ); + + const transform = screen.getByTestId('zoom-transform'); + + expect(transform).toHaveStyle({ + transform: `translate(${expectedZoom.translate.x}px, ${expectedZoom.translate.y}px) scale(${expectedZoom.scale})`, + }); + }); +}); diff --git a/application/ui/src/components/zoom/zoom.tsx b/application/ui/src/components/zoom/zoom.tsx new file mode 100755 index 0000000000..3f40c8ee06 --- /dev/null +++ b/application/ui/src/components/zoom/zoom.tsx @@ -0,0 +1,38 @@ +import { createContext, Dispatch, ReactNode, SetStateAction, useContext, useState } from 'react'; + +type ZoomState = { scale: number; translate: { x: number; y: number } }; +export const Zoom = createContext({ + scale: 1.0, + translate: { x: 0, y: 0 }, +}); +const SetZoom = createContext> | null>(null); + +export const useZoom = () => { + return useContext(Zoom); +}; + +export const useSetZoom = () => { + const context = useContext(SetZoom); + + if (!context) { + throw new Error(''); + } + + return context; +}; + +export const ZoomProvider = ({ children }: { children: ReactNode }) => { + // TODO: + // 1. Add scale restrictions - min max + // 2. Add translate restrictions - min max + const [zoom, setZoom] = useState({ + scale: 1.0, + translate: { x: 0, y: 0 }, + }); + + return ( + + {children} + + ); +}; diff --git a/application/ui/src/env.d.ts b/application/ui/src/env.d.ts new file mode 100644 index 0000000000..4dce89b93b --- /dev/null +++ b/application/ui/src/env.d.ts @@ -0,0 +1,7 @@ +/// + +// We need these two to be able to import/export svgs as ReactComponent, +// for instance: export { ReactComponent as Logo } from './logo.svg'; +declare module '*.svg' { + export const ReactComponent: React.FunctionComponent>; +} diff --git a/application/ui/src/features/inspect/dataset/dataset-item/dataset-item.component.tsx b/application/ui/src/features/inspect/dataset/dataset-item/dataset-item.component.tsx new file mode 100644 index 0000000000..0f7931a392 --- /dev/null +++ b/application/ui/src/features/inspect/dataset/dataset-item/dataset-item.component.tsx @@ -0,0 +1,66 @@ +import { Image } from '@geti-inspect/icons'; +import { Flex } from '@geti/ui'; +import { clsx } from 'clsx'; + +import { useInference } from '../../inference-provider.component'; +import { useSelectedMediaItem } from '../../selected-media-item-provider.component'; +import { type MediaItem } from '../types'; + +import styles from './dataset-item.module.scss'; + +const DatasetItemPlaceholder = () => { + return ( + + + + + + ); +}; + +interface DatasetItemProps { + mediaItem: MediaItem; +} + +const DatasetItem = ({ mediaItem }: DatasetItemProps) => { + const { selectedMediaItem, onSetSelectedMediaItem } = useSelectedMediaItem(); + const { onInference, selectedModelId } = useInference(); + + const isSelected = selectedMediaItem?.id === mediaItem.id; + + const mediaUrl = `/api/projects/${mediaItem.project_id}/images/${mediaItem.id}/thumbnail`; + + const handleClick = async () => { + const selection = mediaItem.id === selectedMediaItem?.id ? undefined : mediaItem; + + onSetSelectedMediaItem(selection); + selectedModelId !== undefined && (await onInference(mediaItem, selectedModelId)); + }; + + return ( +
+ {mediaItem.filename} +
+ ); +}; + +interface DatasetItemContainerProps { + mediaItem: MediaItem | undefined; +} + +export const DatasetItemContainer = ({ mediaItem }: DatasetItemContainerProps) => { + if (mediaItem === undefined) { + return ; + } + + return ; +}; diff --git a/application/ui/src/features/inspect/dataset/dataset-item/dataset-item.module.scss b/application/ui/src/features/inspect/dataset/dataset-item/dataset-item.module.scss new file mode 100644 index 0000000000..e103b6546e --- /dev/null +++ b/application/ui/src/features/inspect/dataset/dataset-item/dataset-item.module.scss @@ -0,0 +1,25 @@ +.datasetItem { + aspect-ratio: 4/3; + cursor: pointer; + + img { + display: block; + width: 100%; + height: 100%; + object-fit: cover; + object-position: center; + } + + border: var(--spectrum-alias-border-size-thick) solid transparent; + + transition: border-color 0.3s ease-in-out; +} + +.datasetItemSelected { + border-color: var(--energy-blue); +} + +.datasetItemPlaceholder { + border: 1px dashed var(--spectrum-global-color-gray-700); + background-color: var(--spectrum-global-color-gray-200); +} diff --git a/application/ui/src/features/inspect/dataset/dataset-list.component.tsx b/application/ui/src/features/inspect/dataset/dataset-list.component.tsx new file mode 100644 index 0000000000..8e0e444644 --- /dev/null +++ b/application/ui/src/features/inspect/dataset/dataset-list.component.tsx @@ -0,0 +1,36 @@ +import { Flex, Grid, Heading, minmax, repeat } from '@geti/ui'; + +import { DatasetItemContainer } from './dataset-item/dataset-item.component'; +import { MediaItem } from './types'; +import { REQUIRED_NUMBER_OF_NORMAL_IMAGES_TO_TRIGGER_TRAINING } from './utils'; + +interface DatasetItemProps { + mediaItems: MediaItem[]; +} + +export const DatasetList = ({ mediaItems }: DatasetItemProps) => { + const mediaItemsToRender = [ + ...mediaItems, + ...Array.from({ + length: Math.max(0, REQUIRED_NUMBER_OF_NORMAL_IMAGES_TO_TRIGGER_TRAINING - mediaItems.length), + }).map(() => undefined), + ]; + + return ( + + Normal images + + + {mediaItemsToRender.map((mediaItem, index) => ( + + ))} + + + ); +}; diff --git a/application/ui/src/features/inspect/dataset/dataset-status-panel.component.tsx b/application/ui/src/features/inspect/dataset/dataset-status-panel.component.tsx new file mode 100644 index 0000000000..5fbef4c8b8 --- /dev/null +++ b/application/ui/src/features/inspect/dataset/dataset-status-panel.component.tsx @@ -0,0 +1,170 @@ +import { ComponentProps, Suspense, useEffect, useRef } from 'react'; + +import { $api } from '@geti-inspect/api'; +import { SchemaJob as Job, SchemaJob, SchemaJobStatus } from '@geti-inspect/api/spec'; +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { Content, Flex, Heading, InlineAlert, IntelBrandedLoading, ProgressBar, Text } from '@geti/ui'; +import { useQueryClient } from '@tanstack/react-query'; +import { isEqual } from 'lodash-es'; + +import { ShowJobLogs } from '../jobs/show-job-logs.component'; +import { REQUIRED_NUMBER_OF_NORMAL_IMAGES_TO_TRIGGER_TRAINING } from './utils'; + +interface NotEnoughNormalImagesToTrainProps { + mediaItemsCount: number; +} + +const NotEnoughNormalImagesToTrain = ({ mediaItemsCount }: NotEnoughNormalImagesToTrainProps) => { + const missingNormalImages = REQUIRED_NUMBER_OF_NORMAL_IMAGES_TO_TRIGGER_TRAINING - mediaItemsCount; + + return ( + + {missingNormalImages} images required + + Capture {missingNormalImages} images of normal cases. They help the model learn what is standard, so it + can better detect anomalies. + + + ); +}; + +interface TrainingInProgressProps { + job: Job; +} + +const statusToVariant: Record['variant']> = { + pending: 'info', + running: 'info', + completed: 'positive', + canceled: 'negative', + failed: 'negative', +}; + +function getHeading(job: SchemaJob) { + if (job.status === 'pending') { + return `Training will start soon - ${job.payload.model_name}`; + } + if (job.status === 'running') { + return `Training in progress - ${job.payload.model_name}`; + } + + if (job.status === 'failed') { + return `Training failed - ${job.payload.model_name}`; + } + + if (job.status === 'canceled') { + return `Training canceled - ${job.payload.model_name}`; + } + + if (job.status === 'completed') { + return `Training completed - ${job.payload.model_name}`; + } + return null; +} + +const TrainingInProgress = ({ job }: TrainingInProgressProps) => { + if (job === undefined) { + return null; + } + + const variant = statusToVariant[job.status]; + const heading = getHeading(job); + + return ( + + + + {heading} + {job.id && } + + + + + {job.message} + {job.status === 'pending' && } + + + + ); +}; + +const REFETCH_INTERVAL_WITH_TRAINING = 1_000; + +export const useProjectTrainingJobs = () => { + const { projectId } = useProjectIdentifier(); + + const { data } = $api.useQuery('get', '/api/jobs', undefined, { + refetchInterval: ({ state }) => { + const projectHasTrainingJob = state.data?.jobs.some( + ({ project_id, type, status }) => + projectId === project_id && type === 'training' && (status === 'running' || status === 'pending') + ); + + return projectHasTrainingJob ? REFETCH_INTERVAL_WITH_TRAINING : undefined; + }, + }); + + return { jobs: data?.jobs.filter((job) => job.project_id === projectId) }; +}; + +export const useRefreshModelsOnJobUpdates = (jobs: Job[] | undefined) => { + const queryClient = useQueryClient(); + const { projectId } = useProjectIdentifier(); + const prevJobsRef = useRef([]); + + useEffect(() => { + if (jobs === undefined) { + return; + } + + if (!isEqual(prevJobsRef.current, jobs)) { + const shouldRefetchModels = jobs.some((job, idx) => { + // NOTE: assuming index stays the same + return job.status === 'completed' && job.status !== prevJobsRef.current.at(idx)?.status; + }); + + if (shouldRefetchModels) { + queryClient.invalidateQueries({ + queryKey: [ + 'get', + '/api/projects/{project_id}/models', + { params: { path: { project_id: projectId } } }, + ], + }); + } + } + + prevJobsRef.current = jobs ?? []; + }, [jobs, queryClient, projectId]); +}; + +const TrainingInProgressList = () => { + const { jobs } = useProjectTrainingJobs(); + useRefreshModelsOnJobUpdates(jobs); + + if (jobs === undefined || jobs.length === 0) { + return null; + } + + return ( + + {jobs?.map((job) => )} + + ); +}; + +interface DatasetStatusPanelProps { + mediaItemsCount: number; +} + +export const DatasetStatusPanel = ({ mediaItemsCount }: DatasetStatusPanelProps) => { + if (mediaItemsCount < REQUIRED_NUMBER_OF_NORMAL_IMAGES_TO_TRIGGER_TRAINING) { + return ; + } + + return ( + }> + + + ); +}; diff --git a/application/ui/src/features/inspect/dataset/dataset.component.tsx b/application/ui/src/features/inspect/dataset/dataset.component.tsx new file mode 100644 index 0000000000..10a141a77d --- /dev/null +++ b/application/ui/src/features/inspect/dataset/dataset.component.tsx @@ -0,0 +1,121 @@ +import { Suspense } from 'react'; + +import { $api } from '@geti-inspect/api'; +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { Button, FileTrigger, Flex, Heading, Loading, toast, View } from '@geti/ui'; +import { useQueryClient } from '@tanstack/react-query'; + +import { TrainModelButton } from '../train-model/train-model-button.component'; +import { DatasetList } from './dataset-list.component'; +import { REQUIRED_NUMBER_OF_NORMAL_IMAGES_TO_TRIGGER_TRAINING } from './utils'; + +const useMediaItems = () => { + const { projectId } = useProjectIdentifier(); + + const { data } = $api.useSuspenseQuery('get', '/api/projects/{project_id}/images', { + params: { + path: { + project_id: projectId, + }, + }, + }); + + return { + mediaItems: data.media, + }; +}; + +const UploadImages = () => { + const { projectId } = useProjectIdentifier(); + const queryClient = useQueryClient(); + + const captureImageMutation = $api.useMutation('post', '/api/projects/{project_id}/capture'); + + const handleAddMediaItem = async (files: File[]) => { + const uploadPromises = files.map((file) => { + const formData = new FormData(); + formData.append('file', file); + + return captureImageMutation.mutateAsync({ + params: { path: { project_id: projectId } }, + // @ts-expect-error There is an incorrect type in OpenAPI + body: formData, + }); + }); + + const promises = await Promise.allSettled(uploadPromises); + + const succeeded = promises.filter((result) => result.status === 'fulfilled').length; + const failed = promises.filter((result) => result.status === 'rejected').length; + + const imagesOptions = $api.queryOptions('get', '/api/projects/{project_id}/images', { + params: { path: { project_id: projectId } }, + }); + await queryClient.invalidateQueries({ queryKey: imagesOptions.queryKey }); + const images = await queryClient.ensureQueryData(imagesOptions); + + if (images.media.length >= REQUIRED_NUMBER_OF_NORMAL_IMAGES_TO_TRIGGER_TRAINING) { + toast({ + title: 'Train', + type: 'info', + message: `You can start model training now with your collected dataset.`, + duration: Infinity, + actionButtons: [], + position: 'bottom-left', + }); + return; + } + + if (failed === 0) { + toast({ type: 'success', message: `Uploaded ${succeeded} item(s)` }); + } else if (succeeded === 0) { + toast({ type: 'error', message: `Failed to upload ${failed} item(s)` }); + } else { + toast({ + type: 'warning', + message: `Uploaded ${succeeded} item(s), ${failed} failed`, + }); + } + }; + + const captureImages = (files: FileList | null) => { + if (files === null) return; + + handleAddMediaItem(Array.from(files)); + }; + + return ( + + + + ); +}; + +const DatasetContent = () => { + const { mediaItems } = useMediaItems(); + + return ; +}; + +export const Dataset = () => { + return ( + + + + Dataset + + + + + + + }> + + + + + + + + ); +}; diff --git a/application/ui/src/features/inspect/dataset/types.ts b/application/ui/src/features/inspect/dataset/types.ts new file mode 100644 index 0000000000..9603520fd8 --- /dev/null +++ b/application/ui/src/features/inspect/dataset/types.ts @@ -0,0 +1,3 @@ +import { SchemaMediaList } from '@geti-inspect/api/spec'; + +export type MediaItem = SchemaMediaList['media'][number]; diff --git a/application/ui/src/features/inspect/dataset/utils.ts b/application/ui/src/features/inspect/dataset/utils.ts new file mode 100644 index 0000000000..3aee28c4bb --- /dev/null +++ b/application/ui/src/features/inspect/dataset/utils.ts @@ -0,0 +1 @@ +export const REQUIRED_NUMBER_OF_NORMAL_IMAGES_TO_TRIGGER_TRAINING = 20; diff --git a/application/ui/src/features/inspect/footer/footer.component.tsx b/application/ui/src/features/inspect/footer/footer.component.tsx new file mode 100644 index 0000000000..7de19e4025 --- /dev/null +++ b/application/ui/src/features/inspect/footer/footer.component.tsx @@ -0,0 +1,174 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { Suspense } from 'react'; + +import { $api } from '@geti-inspect/api'; +import { SchemaJob as Job, SchemaJob } from '@geti-inspect/api/spec'; +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { Flex, ProgressBar, Text, View } from '@geti/ui'; +import { CanceledIcon, WaitingIcon } from '@geti/ui/icons'; +import { queryOptions, experimental_streamedQuery as streamedQuery, useQuery } from '@tanstack/react-query'; +import { fetchSSE } from 'src/api/fetch-sse'; + +const IdleItem = () => { + return ( + + + + Idle + + + ); +}; + +const getStyleForMessage = (message: string) => { + if (message.toLowerCase().includes('valid')) { + return { + backgroundColor: 'var(--spectrum-global-color-yellow-600)', + color: '#000', + }; + } else if (message.toLowerCase().includes('test')) { + return { + backgroundColor: 'var(--spectrum-global-color-green-600)', + color: '#fff', + }; + } else if (message.toLowerCase().includes('train') || message.toLowerCase().includes('fit')) { + return { + backgroundColor: 'var(--spectrum-global-color-blue-600)', + color: '#fff', + }; + } + + return { + backgroundColor: 'var(--spectrum-global-color-blue-600)', + color: '#fff', + }; +}; + +const TrainingStatusItem = ({ trainingJob }: { trainingJob: SchemaJob }) => { + // Cancel training job + const cancelJobMutation = $api.useMutation('post', '/api/jobs/{job_id}:cancel'); + const handleCancel = async () => { + try { + if (trainingJob.id === undefined) { + throw Error('TODO: jobs should always have an ID'); + } + + console.info('Cancel training'); + await cancelJobMutation.mutateAsync({ + params: { + path: { + job_id: trainingJob.id, + }, + }, + }); + console.info('Job cancelled successfully'); + } catch (error) { + console.error('Failed to cancel job:', error); + } + }; + + const progressQuery = useQuery( + queryOptions({ + queryKey: ['get', '/api/jobs/{job_id}/progress', trainingJob.id], + queryFn: streamedQuery({ + queryFn: () => fetchSSE(`/api/jobs/${trainingJob.id}/progress`), + maxChunks: 1, + }), + staleTime: Infinity, + }) + ); + + // Get the job progress and message from the last SSE message, or fallback + const lastJobProgress = progressQuery.data?.at(-1); + const progress = lastJobProgress?.progress ?? trainingJob.progress; + const message = lastJobProgress?.message ?? trainingJob.message; + + const { backgroundColor, color } = getStyleForMessage(message); + + return ( +
+ + + + {message} + + + +
+ ); +}; + +const useCurrentJob = () => { + const { data: jobsData } = $api.useSuspenseQuery('get', '/api/jobs', undefined, { + refetchInterval: 5000, + }); + + const { projectId } = useProjectIdentifier(); + const runningJob = jobsData.jobs.find( + (job: Job) => job.project_id === projectId && (job.status === 'running' || job.status === 'pending') + ); + + return runningJob; +}; + +export const ProgressBarItem = () => { + const trainingJob = useCurrentJob(); + + if (trainingJob !== undefined) { + return ; + } + + return ; +}; + +export const Footer = () => { + return ( + + + + + + ); +}; diff --git a/application/ui/src/features/inspect/inference-provider.component.tsx b/application/ui/src/features/inspect/inference-provider.component.tsx new file mode 100644 index 0000000000..5881493a78 --- /dev/null +++ b/application/ui/src/features/inspect/inference-provider.component.tsx @@ -0,0 +1,120 @@ +import { createContext, ReactNode, use, useState } from 'react'; + +import { $api } from '@geti-inspect/api'; +import { components } from '@geti-inspect/api/spec'; +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { usePipeline } from 'src/hooks/use-pipeline.hook'; + +import { MediaItem } from './dataset/types'; +import { useSelectedMediaItem } from './selected-media-item-provider.component'; + +type InferenceResult = components['schemas']['PredictionResponse'] | undefined; + +interface InferenceContextProps { + onInference: (media: MediaItem, modelId: string) => Promise; + inferenceResult: InferenceResult; + isPending: boolean; + selectedModelId: string | undefined; + onSetSelectedModelId: (model: string | undefined) => void; + inferenceOpacity: number; + onInferenceOpacityChange: (opacity: number) => void; +} + +const InferenceContext = createContext(undefined); + +const downloadImageAsFile = async (media: MediaItem) => { + const response = await fetch(`/api/projects/${media.project_id}/images/${media.id}/full`); + + const blob = await response.blob(); + + return new File([blob], media.filename, { type: blob.type }); +}; + +const useInferenceMutation = () => { + const pipeline = usePipeline(); + const inferenceMutation = $api.useMutation('post', '/api/projects/{project_id}/models/{model_id}:predict'); + + const handleInference = async (mediaItem: MediaItem, modelId: string) => { + const file = await downloadImageAsFile(mediaItem); + + const formData = new FormData(); + formData.append('file', file); + + if (pipeline.data.inference_device) { + formData.append('device', pipeline.data.inference_device); + } + + inferenceMutation.mutate({ + // @ts-expect-error There is an incorrect type in OpenAPI + body: formData, + params: { + path: { + project_id: mediaItem.project_id, + model_id: modelId, + }, + }, + }); + }; + + return { + inferenceResult: inferenceMutation.data, + onInference: handleInference, + isPending: inferenceMutation.isPending, + }; +}; + +interface InferenceProviderProps { + children: ReactNode; +} + +export const InferenceProvider = ({ children }: InferenceProviderProps) => { + const { data: pipeline } = usePipeline(); + const { projectId } = useProjectIdentifier(); + const updatePipeline = $api.useMutation('patch', '/api/projects/{project_id}/pipeline', { + meta: { + invalidates: [ + ['get', '/api/projects/{project_id}/pipeline', { params: { path: { project_id: projectId } } }], + ], + }, + }); + + const { selectedMediaItem } = useSelectedMediaItem(); + const [inferenceOpacity, setInferenceOpacity] = useState(0.75); + const { inferenceResult, onInference, isPending } = useInferenceMutation(); + + const onSetSelectedModelId = (modelId: string | undefined) => { + updatePipeline.mutate({ + params: { path: { project_id: projectId } }, + body: { model_id: modelId }, + }); + + if (modelId && selectedMediaItem) { + onInference(selectedMediaItem, modelId); + } + }; + return ( + + {children} + + ); +}; + +export const useInference = () => { + const context = use(InferenceContext); + + if (context === undefined) { + throw new Error('useInference must be used within a InferenceProvider'); + } + + return context; +}; diff --git a/application/ui/src/features/inspect/jobs/show-job-logs.component.tsx b/application/ui/src/features/inspect/jobs/show-job-logs.component.tsx new file mode 100644 index 0000000000..b3ef175f2e --- /dev/null +++ b/application/ui/src/features/inspect/jobs/show-job-logs.component.tsx @@ -0,0 +1,80 @@ +import { Suspense } from 'react'; + +import { + ActionButton, + Button, + ButtonGroup, + Content, + Dialog, + DialogTrigger, + Divider, + Flex, + Heading, + Icon, + Loading, + Text, + View, +} from '@geti/ui'; +import { LogsIcon } from '@geti/ui/icons'; +import { queryOptions, experimental_streamedQuery as streamedQuery, useQuery } from '@tanstack/react-query'; +import { fetchSSE } from 'src/api/fetch-sse'; + +const JobLogsDialogContent = ({ jobId }: { jobId: string }) => { + const query = useQuery( + queryOptions({ + queryKey: ['get', '/api/jobs/{job_id}/logs', jobId], + queryFn: streamedQuery({ + queryFn: () => fetchSSE(`/api/jobs/${jobId}/logs`), + }), + staleTime: Infinity, + }) + ); + + return ( + + {query.data?.map((line, idx) => {line.text})} + + ); +}; + +const JobLogsDialog = ({ close, jobId }: { close: () => void; jobId: string }) => { + return ( + + Logs + + + + }> + + + + + + + + + ); +}; + +export const ShowJobLogs = ({ jobId }: { jobId: string }) => { + return ( + + + + + + + + {(close) => } + + + ); +}; diff --git a/application/ui/src/features/inspect/main-content/enable-project/confirmation-dialog.component.tsx b/application/ui/src/features/inspect/main-content/enable-project/confirmation-dialog.component.tsx new file mode 100644 index 0000000000..27d4b5692d --- /dev/null +++ b/application/ui/src/features/inspect/main-content/enable-project/confirmation-dialog.component.tsx @@ -0,0 +1,48 @@ +import { $api } from '@geti-inspect/api'; +import { useActivatePipeline, useDisablePipeline } from '@geti-inspect/hooks'; +import { AlertDialog } from '@geti/ui'; + +interface ConfirmationDialogProps { + activeProjectId: string; + currentProjectId: string; +} + +export const ConfirmationDialog = ({ activeProjectId, currentProjectId }: ConfirmationDialogProps) => { + const activePipeline = useActivatePipeline({}); + const disablePipeline = useDisablePipeline(activeProjectId); + + const activeProject = $api.useSuspenseQuery('get', '/api/projects/{project_id}', { + params: { path: { project_id: activeProjectId } }, + }); + + const currentProject = $api.useSuspenseQuery('get', '/api/projects/{project_id}', { + params: { path: { project_id: currentProjectId } }, + }); + + const isUpdating = activeProject.isLoading || currentProject.isLoading; + + const handleEnableProject = async () => { + await disablePipeline.mutateAsync({ + params: { path: { project_id: activeProjectId } }, + }); + + await activePipeline.mutateAsync({ + params: { path: { project_id: currentProjectId } }, + }); + }; + + return ( + + By activating this project, the current active project "{activeProject.data.name}" and its + respective inference workflow will be disabled. Changing your active project can influence any downstream + processes that might be connected to the output generated from the current active project. + + ); +}; diff --git a/application/ui/src/features/inspect/main-content/enable-project/enable-project.component.tsx b/application/ui/src/features/inspect/main-content/enable-project/enable-project.component.tsx new file mode 100644 index 0000000000..7c36c66b43 --- /dev/null +++ b/application/ui/src/features/inspect/main-content/enable-project/enable-project.component.tsx @@ -0,0 +1,52 @@ +import { Suspense, useEffect, useState } from 'react'; + +import { LinkExpired } from '@geti-inspect/icons'; +import { Button, DialogContainer, Flex, Loading, Text } from '@geti/ui'; + +import { useWebRTCConnection } from '../../../../components/stream/web-rtc-connection-provider'; +import { ConfirmationDialog } from './confirmation-dialog.component'; + +import classes from './enable-project.module.scss'; + +interface EnableProjectProps { + activeProjectId: string; + currentProjectId: string; +} + +const useStopCurrentWebRtcConnection = () => { + const { stop } = useWebRTCConnection(); + + useEffect(() => { + stop(); + }, [stop]); +}; + +export const EnableProject = ({ activeProjectId, currentProjectId }: EnableProjectProps) => { + const [isOpen, setIsOpen] = useState(false); + useStopCurrentWebRtcConnection(); + + return ( + + + + + + This project is set as inactive, therefore the pipeline configuration is disabled for this project. + You can still explore the dataset and models within this inactive project. + + + Would you like to activate this project? + + + + setIsOpen(false)}> + {isOpen && ( + }> + + + )} + + + + ); +}; diff --git a/application/ui/src/features/inspect/main-content/enable-project/enable-project.module.scss b/application/ui/src/features/inspect/main-content/enable-project/enable-project.module.scss new file mode 100644 index 0000000000..d8c393006d --- /dev/null +++ b/application/ui/src/features/inspect/main-content/enable-project/enable-project.module.scss @@ -0,0 +1,18 @@ +.container { + border: 1px dashed #b7b9be; + margin: var(--spectrum-global-dimension-size-500); + background: var(--background-inverse); + border-radius: var(--spectrum-global-dimension-size-200); +} + +.title { + font-size: var(--spectrum-global-dimension-size-200); + line-height: var(--spectrum-global-dimension-size-300); +} + +.description { + text-align: center; + color: var(--spectrum-global-color-gray-700); + font-size: var(--spectrum-global-dimension-size-150); + line-height: var(--spectrum-global-dimension-size-225); +} diff --git a/application/ui/src/features/inspect/main-content/inference-result/inference-result.component.tsx b/application/ui/src/features/inspect/main-content/inference-result/inference-result.component.tsx new file mode 100644 index 0000000000..d2115baa1b --- /dev/null +++ b/application/ui/src/features/inspect/main-content/inference-result/inference-result.component.tsx @@ -0,0 +1,80 @@ +import { Flex, Grid, Loading, Text } from '@geti/ui'; +import { clsx } from 'clsx'; +import { AnimatePresence, motion } from 'motion/react'; +import { useSpinDelay } from 'spin-delay'; + +import { MediaItem } from '../../dataset/types'; +import { useInference } from '../../inference-provider.component'; + +import styles from './inference-result.module.scss'; + +interface InferenceResultProps { + selectedMediaItem: MediaItem; +} + +interface LabelProps { + label: string; + score: number; +} + +const LabelScore = ({ label, score }: LabelProps) => { + const formatter = new Intl.NumberFormat('en-US', { + maximumFractionDigits: 0, + style: 'percent', + }); + + return ( + + {label} + {formatter.format(score)} + + ); +}; + +export const InferenceResult = ({ selectedMediaItem }: InferenceResultProps) => { + const { isPending, inferenceResult, inferenceOpacity } = useInference(); + const isLoadingInference = useSpinDelay(isPending, { delay: 300 }); + + return ( + + {selectedMediaItem.filename} + + {inferenceResult !== undefined && ( + <> + + + + )} + + {isLoadingInference && } + + ); +}; diff --git a/application/ui/src/features/inspect/main-content/inference-result/inference-result.module.scss b/application/ui/src/features/inspect/main-content/inference-result/inference-result.module.scss new file mode 100644 index 0000000000..ff77e8628f --- /dev/null +++ b/application/ui/src/features/inspect/main-content/inference-result/inference-result.module.scss @@ -0,0 +1,33 @@ +.canvasContainer { + overflow: hidden; + width: 100%; + height: 100%; + padding: var(--spectrum-global-dimension-size-1200); +} + +.img { + display: block; + width: 100%; + height: 100%; + object-fit: contain; +} + +.inferencedImage { + grid-area: inference-result; + justify-self: start; +} + +.label { + padding: var(--spectrum-global-dimension-size-65); + color: var(--spectrum-global-color-gray-50); + font-size: var(--spectrum-global-dimension-font-size-75); + font-weight: 500; +} + +.labelNormal { + background-color: var(--brand-moss); +} + +.labelAnomalous { + background-color: var(--brand-coral-cobalt); +} diff --git a/application/ui/src/features/inspect/main-content/main-content.component.tsx b/application/ui/src/features/inspect/main-content/main-content.component.tsx new file mode 100644 index 0000000000..d41ad19def --- /dev/null +++ b/application/ui/src/features/inspect/main-content/main-content.component.tsx @@ -0,0 +1,32 @@ +import { useActivePipeline, usePipeline, useProjectIdentifier } from '@geti-inspect/hooks'; +import isEmpty from 'lodash-es/isEmpty'; + +import { useSelectedMediaItem } from '../selected-media-item-provider.component'; +import { StreamContainer } from '../stream/stream-container'; +import { EnableProject } from './enable-project/enable-project.component'; +import { InferenceResult } from './inference-result/inference-result.component'; +import { SourceSinkMessage } from './source-sink-message/source-sink-message.component'; + +export const MainContent = () => { + const { data: pipeline } = usePipeline(); + const { projectId } = useProjectIdentifier(); + const { selectedMediaItem } = useSelectedMediaItem(); + const { data: activeProjectPipeline } = useActivePipeline(); + + const hasActiveProject = !isEmpty(activeProjectPipeline); + const isCurrentProjectActive = activeProjectPipeline?.project_id === projectId; + + if (isEmpty(selectedMediaItem) && isEmpty(pipeline.source?.id)) { + return ; + } + + if (isEmpty(selectedMediaItem) && hasActiveProject && !isCurrentProjectActive) { + return ; + } + + if (isEmpty(selectedMediaItem)) { + return ; + } + + return ; +}; diff --git a/application/ui/src/features/inspect/main-content/main-content.test.tsx b/application/ui/src/features/inspect/main-content/main-content.test.tsx new file mode 100644 index 0000000000..16e3a2cd03 --- /dev/null +++ b/application/ui/src/features/inspect/main-content/main-content.test.tsx @@ -0,0 +1,180 @@ +import { QueryClient, QueryClientProvider } from '@tanstack/react-query'; +import { render, screen } from '@testing-library/react'; +import { MemoryRouter, Route, Routes } from 'react-router-dom'; +import { SchemaPipeline } from 'src/api/openapi-spec'; +import { http } from 'src/api/utils'; +import { ZoomProvider } from 'src/components/zoom/zoom'; +import { server } from 'src/msw-node-setup'; + +import { getMockedMediaItem } from '../../../../mocks/mock-media-item'; +import { getMockedPipeline } from '../../../../mocks/mock-pipeline'; +import { useWebRTCConnection, WebRTCConnectionState } from '../../../components/stream/web-rtc-connection-provider'; +import { MediaItem } from '../dataset/types'; +import { useSelectedMediaItem } from '../selected-media-item-provider.component'; +import { MainContent } from './main-content.component'; +import { SOURCE_MESSAGE } from './source-sink-message/source-sink-message.component'; + +vi.mock('../../../components/stream/web-rtc-connection-provider', () => ({ + useWebRTCConnection: vi.fn(), +})); + +vi.mock('../selected-media-item-provider.component', () => ({ + useSelectedMediaItem: vi.fn(), +})); + +describe('MainContent', () => { + const mockMediaItem = getMockedMediaItem({}); + + const renderApp = ({ + webRtcConfig = {}, + pipelineConfig = {}, + selectedMediaItem, + activePipelineConfig = {}, + }: { + webRtcConfig?: Partial; + pipelineConfig?: Partial; + selectedMediaItem?: MediaItem; + activePipelineConfig?: Partial | null; + }) => { + vi.mocked(useWebRTCConnection).mockReturnValue({ + start: vi.fn(), + status: 'idle', + stop: vi.fn(), + webRTCConnectionRef: { current: null }, + ...webRtcConfig, + }); + + vi.mocked(useSelectedMediaItem).mockReturnValue({ selectedMediaItem, onSetSelectedMediaItem: vi.fn() }); + + server.use( + http.get('/api/projects/{project_id}/pipeline', ({ response }) => + response(200).json(getMockedPipeline(pipelineConfig)) + ), + http.get('/api/active-pipeline', ({ response }) => { + if (activePipelineConfig === null) { + return response(200).json(null); + } + return response(200).json(getMockedPipeline({ project_id: '123', ...activePipelineConfig })); + }) + ); + + return render( + + + + + } /> + + + + + ); + }; + + describe('SinkMessage', () => { + it('renders when no source is configured and no media item selected', async () => { + renderApp({ pipelineConfig: { source: undefined } }); + + expect(await screen.findByText(SOURCE_MESSAGE)).toBeVisible(); + }); + + it('does not render SinkMessage when no sink is configured', async () => { + renderApp({ pipelineConfig: { sink: undefined } }); + + expect(screen.queryByText(SOURCE_MESSAGE)).not.toBeInTheDocument(); + }); + + it('renders when both source and sink are missing', async () => { + renderApp({ pipelineConfig: { source: undefined, sink: undefined } }); + + expect(await screen.findByText(SOURCE_MESSAGE)).toBeVisible(); + }); + }); + + describe('EnableProject', () => { + it('renders when another project is active and no media item selected', async () => { + renderApp({ + pipelineConfig: { project_id: '123' }, + activePipelineConfig: { project_id: '456' }, + }); + + expect(await screen.findByRole('button', { name: /Activate project/i })).toBeVisible(); + }); + + it('does not render EnableProject when current project is active', async () => { + renderApp({ + pipelineConfig: { project_id: '123' }, + activePipelineConfig: { project_id: '123' }, + }); + + expect(screen.queryByRole('button', { name: /Activate project/i })).not.toBeInTheDocument(); + }); + + it('does not render EnableProject when no active pipeline', async () => { + renderApp({ + pipelineConfig: { project_id: '123' }, + activePipelineConfig: null, + }); + + expect(screen.queryByRole('button', { name: /Activate project/i })).not.toBeInTheDocument(); + }); + }); + + describe('StreamContainer', () => { + it('renders when no media item selected and source/sink are configured', async () => { + renderApp({ + pipelineConfig: { status: 'idle' }, + webRtcConfig: { status: 'idle' }, + }); + + expect(await screen.findByRole('button', { name: /Start stream/i })).toBeVisible(); + }); + + it('renders when no media item selected and no other project is active', async () => { + renderApp({ + pipelineConfig: { project_id: '123' }, + activePipelineConfig: null, + }); + + expect(await screen.findByRole('button', { name: /Start stream/i })).toBeVisible(); + }); + + it('renders when current project is active', async () => { + renderApp({ + webRtcConfig: { status: 'idle' }, + pipelineConfig: { project_id: '123', status: 'running' }, + activePipelineConfig: { project_id: '123' }, + }); + + expect(await screen.findByRole('button', { name: /Start stream/i })).toBeVisible(); + }); + }); + + describe('InferenceResult', () => { + it('renders when media item is selected', async () => { + renderApp({ selectedMediaItem: mockMediaItem }); + + expect(screen.queryByText(SOURCE_MESSAGE)).not.toBeInTheDocument(); + expect(screen.queryByRole('button', { name: /Start stream/i })).not.toBeInTheDocument(); + }); + + it('renders InferenceResult even when source/sink missing if media item selected', async () => { + renderApp({ + pipelineConfig: { source: undefined, sink: undefined }, + selectedMediaItem: mockMediaItem, + }); + + expect(screen.queryByText(SOURCE_MESSAGE)).not.toBeInTheDocument(); + }); + + it('renders InferenceResult even when another project is active if media item selected', async () => { + renderApp({ + pipelineConfig: { project_id: '123' }, + activePipelineConfig: { project_id: '456' }, + selectedMediaItem: mockMediaItem, + }); + + expect(screen.queryByRole('button', { name: /Activate project/i })).not.toBeInTheDocument(); + }); + }); +}); diff --git a/application/ui/src/features/inspect/main-content/source-sink-message/source-sink-message.component.tsx b/application/ui/src/features/inspect/main-content/source-sink-message/source-sink-message.component.tsx new file mode 100644 index 0000000000..ca4ba67e68 --- /dev/null +++ b/application/ui/src/features/inspect/main-content/source-sink-message/source-sink-message.component.tsx @@ -0,0 +1,18 @@ +import { Grid, Heading } from '@geti/ui'; + +import styles from './source-sink-message.module.scss'; + +export const SOURCE_MESSAGE = 'No source configured. Please set it before starting the stream.'; + +export const SourceSinkMessage = () => { + return ( + + {SOURCE_MESSAGE} + + ); +}; diff --git a/application/ui/src/features/inspect/main-content/source-sink-message/source-sink-message.module.scss b/application/ui/src/features/inspect/main-content/source-sink-message/source-sink-message.module.scss new file mode 100644 index 0000000000..e41e84fe3f --- /dev/null +++ b/application/ui/src/features/inspect/main-content/source-sink-message/source-sink-message.module.scss @@ -0,0 +1,10 @@ +.canvasContainer { + overflow: hidden; + width: 100%; + height: 100%; + padding: var(--spectrum-global-dimension-size-1200); + + h3 { + text-align: center; + } +} diff --git a/application/ui/src/features/inspect/models/inference-devices.component.tsx b/application/ui/src/features/inspect/models/inference-devices.component.tsx new file mode 100644 index 0000000000..95bd374321 --- /dev/null +++ b/application/ui/src/features/inspect/models/inference-devices.component.tsx @@ -0,0 +1,52 @@ +import { useState } from 'react'; + +import { $api } from '@geti-inspect/api'; +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { Item, Key, Picker, toast } from '@geti/ui'; +import { usePipeline } from 'src/hooks/use-pipeline.hook'; + +export const InferenceDevices = () => { + const { data } = $api.useSuspenseQuery('get', '/api/inference-devices'); + const { data: pipeline } = usePipeline(); + const { projectId } = useProjectIdentifier(); + const [selectedKey, setSelectedKey] = useState(pipeline.inference_device?.toLowerCase() ?? null); + + const updatePipeline = $api.useMutation('patch', '/api/projects/{project_id}/pipeline', { + meta: { + invalidates: [ + ['get', '/api/projects/{project_id}/pipeline', { params: { path: { project_id: projectId } } }], + ], + }, + onError: (error) => { + if (error) { + toast({ type: 'error', message: String(error.detail) }); + } + }, + }); + + const options = data.devices.map((device) => ({ id: device, name: device })); + + const handleChange = (key: Key | null) => { + if (key === null) { + return; + } + + setSelectedKey(key); + updatePipeline.mutate({ + params: { path: { project_id: projectId } }, + body: { inference_device: key }, + }); + }; + + return ( + + {(item) => {item.name}} + + ); +}; diff --git a/application/ui/src/features/inspect/models/models-view.component.tsx b/application/ui/src/features/inspect/models/models-view.component.tsx new file mode 100644 index 0000000000..26728a26b1 --- /dev/null +++ b/application/ui/src/features/inspect/models/models-view.component.tsx @@ -0,0 +1,176 @@ +import { Badge } from '@adobe/react-spectrum'; +import { $api } from '@geti-inspect/api'; +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { + Cell, + Column, + Flex, + Heading, + IllustratedMessage, + Row, + TableBody, + TableHeader, + TableView, + Text, + View, +} from '@geti/ui'; +import { sortBy } from 'lodash-es'; +import { useDateFormatter } from 'react-aria'; +import { SchemaJob } from 'src/api/openapi-spec'; + +import { useProjectTrainingJobs, useRefreshModelsOnJobUpdates } from '../dataset/dataset-status-panel.component'; +import { useInference } from '../inference-provider.component'; +import { ShowJobLogs } from '../jobs/show-job-logs.component'; + +const useModels = () => { + const { projectId } = useProjectIdentifier(); + const modelsQuery = $api.useSuspenseQuery('get', '/api/projects/{project_id}/models', { + params: { path: { project_id: projectId } }, + }); + const models = modelsQuery.data.models; + + return models; +}; + +interface ModelData { + id: string; + name: string; + timestamp: string; + startTime: number; + durationInSeconds: number | null; + status: 'Training' | 'Completed' | 'Failed'; + architecture: string; + progress: number; + job: SchemaJob | undefined; +} + +export const ModelsView = () => { + const dateFormatter = useDateFormatter({ dateStyle: 'medium', timeStyle: 'short' }); + + const { jobs = [] } = useProjectTrainingJobs(); + useRefreshModelsOnJobUpdates(jobs); + + const models = useModels() + .map((model): ModelData | null => { + const job = jobs.find(({ id }) => id === model.train_job_id); + if (job === undefined) { + return null; + } + + let timestamp = ''; + let durationInSeconds = 0; + const start = job.start_time ? new Date(job.start_time) : new Date(); + if (job) { + const end = job.end_time ? new Date(job.end_time) : new Date(); + durationInSeconds = Math.floor((end.getTime() - start.getTime()) / 1000); + timestamp = dateFormatter.format(start); + } + + return { + id: model.id!, + name: model.name!, + status: 'Completed', + architecture: model.name!, + startTime: start.getTime(), + timestamp, + durationInSeconds, + progress: 1.0, + job, + }; + }) + .filter((model): model is ModelData => model !== null); + + const nonCompletedJobs = jobs + .filter((job) => job.status !== 'completed') + .map((job): ModelData => { + const name = String(job.payload['model_name']); + + const start = job.start_time ? new Date(job.start_time) : new Date(); + const timestamp = dateFormatter.format(start); + return { + id: job.id!, + name, + status: job.status === 'pending' ? 'Training' : job.status === 'running' ? 'Training' : 'Failed', + architecture: name, + timestamp, + startTime: start.getTime(), + progress: 1.0, + durationInSeconds: null, + job, + }; + }); + + const showModels = sortBy([...nonCompletedJobs, ...models], (model) => -model.startTime); + + const { selectedModelId, onSetSelectedModelId } = useInference(); + + return ( + + + {/* Models Table */} + { + if (typeof key === 'string') { + return; + } + + const selectedId = key.values().next().value; + const selectedModel = models.find((model) => model.id === selectedId); + + onSetSelectedModelId(selectedModel?.id); + }} + > + + MODEL NAME + + + + {showModels.map((model) => ( + + + + {model.name} + + {model.timestamp} + + + + + + + {model.job?.status === 'pending' && pending...} + {model.job?.status === 'running' && {model.job.progress}%...} + {model.job?.status === 'canceled' && ( + Cancelled + )} + {model.job?.status === 'failed' && Failed} + {selectedModelId === model.id && Active} + {model.job?.id && } + + + + + ))} + + + + {jobs.length === 0 && models.length === 0 && ( + + No models in training + Start a new training to see models here. + + )} + + + ); +}; diff --git a/application/ui/src/features/inspect/models/models.component.tsx b/application/ui/src/features/inspect/models/models.component.tsx new file mode 100644 index 0000000000..27fb62a4db --- /dev/null +++ b/application/ui/src/features/inspect/models/models.component.tsx @@ -0,0 +1,30 @@ +import { Suspense } from 'react'; + +import { Flex, Heading, Loading } from '@geti/ui'; + +import { TrainModelButton } from '../train-model/train-model-button.component'; +import { InferenceDevices } from './inference-devices.component'; +import { ModelsView } from './models-view.component'; + +export const Models = () => { + return ( + + + + Models + + + + + + }> + <> + + + + + + + + ); +}; diff --git a/application/ui/src/features/inspect/projects-management/project-list-item/project-list-item.component.tsx b/application/ui/src/features/inspect/projects-management/project-list-item/project-list-item.component.tsx new file mode 100644 index 0000000000..c0bf446b7d --- /dev/null +++ b/application/ui/src/features/inspect/projects-management/project-list-item/project-list-item.component.tsx @@ -0,0 +1,113 @@ +/** + * Copyright (C) 2025 Intel Corporation + * SPDX-License-Identifier: Apache-2.0 + */ + +import { useEffect, useRef, useState } from 'react'; + +import { SchemaProjectList } from '@geti-inspect/api/spec'; +import { Flex, PhotoPlaceholder, Text, TextField, type TextFieldRef } from '@geti/ui'; +import { clsx } from 'clsx'; +import { useNavigate } from 'react-router'; + +import { useWebRTCConnection } from '../../../../components/stream/web-rtc-connection-provider'; +import { paths } from '../../../../routes/paths'; + +import styles from './project-list-item.module.scss'; + +export type Project = SchemaProjectList['projects'][number]; + +interface ProjectEditionProps { + onBlur: (newName: string) => void; + name: string; +} + +const ProjectEdition = ({ name, onBlur }: ProjectEditionProps) => { + const textFieldRef = useRef(null); + const [newName, setNewName] = useState(name); + + const handleBlur = () => { + onBlur(newName); + }; + + const handleKeyDown = (e: React.KeyboardEvent) => { + if (e.key === 'Enter') { + e.preventDefault(); + onBlur(newName); + } + + if (e.key === 'Escape') { + e.preventDefault(); + setNewName(name); + onBlur(name); + } + }; + + useEffect(() => { + textFieldRef.current?.select(); + }, []); + + return ( + + ); +}; + +interface ProjectListItemProps { + project: Project; + isActive: boolean; + isInEditMode: boolean; + onBlur: (projectId: string, newName: string) => void; +} + +export const ProjectListItem = ({ project, isInEditMode, isActive, onBlur }: ProjectListItemProps) => { + const navigate = useNavigate(); + const { stop } = useWebRTCConnection(); + + const handleBlur = (newProjectId?: string) => (newName: string) => { + if (newProjectId === undefined) { + return; + } + + onBlur(newProjectId, newName); + }; + + const handleNavigateToProject = () => { + if (project.id === undefined || isActive) { + return; + } + + stop(); + navigate(`${paths.project({ projectId: project.id })}?mode=Dataset`); + }; + + return ( +
  • + + {isInEditMode ? ( + + ) : ( + + + {project.name} + + )} + +
    • + ); +}; diff --git a/application/ui/src/features/inspect/projects-management/project-list-item/project-list-item.module.scss b/application/ui/src/features/inspect/projects-management/project-list-item/project-list-item.module.scss new file mode 100644 index 0000000000..855bf10bd9 --- /dev/null +++ b/application/ui/src/features/inspect/projects-management/project-list-item/project-list-item.module.scss @@ -0,0 +1,16 @@ +.projectListItem { + padding: var(--spectrum-global-dimension-size-100); + + &:hover, + &:has(.actionMenu[aria-expanded='true']) { + background-color: var(--spectrum-global-color-gray-100); + } +} + +.actionMenu svg { + transform: rotate(90deg); +} + +.active { + background-color: var(--spectrum-global-color-gray-100); +} diff --git a/application/ui/src/features/inspect/projects-management/project-list-item/project-list-item.test.tsx b/application/ui/src/features/inspect/projects-management/project-list-item/project-list-item.test.tsx new file mode 100644 index 0000000000..87889009f7 --- /dev/null +++ b/application/ui/src/features/inspect/projects-management/project-list-item/project-list-item.test.tsx @@ -0,0 +1,47 @@ +import { render, screen } from '@testing-library/react'; +import userEvent from '@testing-library/user-event'; +import { useNavigate } from 'react-router'; +import { vi } from 'vitest'; + +import { useWebRTCConnection } from '../../../../components/stream/web-rtc-connection-provider'; +import { Project, ProjectListItem } from './project-list-item.component'; + +vi.mock('../../../../components/stream/web-rtc-connection-provider'); + +vi.mock('react-router', async () => { + const actual = await vi.importActual('react-router'); + return { + ...actual, + useNavigate: vi.fn(), + }; +}); + +const mockStop = vi.fn(); +const mockNavigate = vi.fn(); + +describe('ProjectListItem', () => { + const mockProject: Project = { + id: 'project-123', + name: 'Test Project', + }; + + beforeEach(() => { + vi.clearAllMocks(); + vi.mocked(useNavigate).mockReturnValue(mockNavigate); + vi.mocked(useWebRTCConnection).mockReturnValue({ + stop: mockStop, + start: vi.fn(), + status: 'idle', + webRTCConnectionRef: { current: null }, + }); + }); + + it('navigates to project when clicked', async () => { + render(); + + await userEvent.click(screen.getByRole('listitem')); + + expect(mockStop).toHaveBeenCalled(); + expect(mockNavigate).toHaveBeenCalledWith('/projects/project-123?mode=Dataset'); + }); +}); diff --git a/application/ui/src/features/inspect/projects-management/projects-list-panel.component.tsx b/application/ui/src/features/inspect/projects-management/projects-list-panel.component.tsx new file mode 100644 index 0000000000..bf2175d304 --- /dev/null +++ b/application/ui/src/features/inspect/projects-management/projects-list-panel.component.tsx @@ -0,0 +1,134 @@ +/** + * Copyright (C) 2025 Intel Corporation + * SPDX-License-Identifier: Apache-2.0 + */ + +import { useState } from 'react'; + +import { $api } from '@geti-inspect/api'; +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { + ActionButton, + ButtonGroup, + Content, + Dialog, + DialogTrigger, + Divider, + Flex, + Header, + Heading, + PhotoPlaceholder, + Text, + View, +} from '@geti/ui'; +import { AddCircle } from '@geti/ui/icons'; +import { v4 as uuid } from 'uuid'; + +import { ProjectsList } from './projects-list.component'; + +import styles from './projects-list.module.scss'; + +interface SelectedProjectProps { + name: string; + id: string | undefined; +} + +const SelectedProjectButton = ({ name, id }: SelectedProjectProps) => { + return ( + + {name} + + + + + ); +}; + +interface AddProjectProps { + onSetProjectInEdition: (projectId: string) => void; + projectsCount: number; +} + +const AddProjectButton = ({ onSetProjectInEdition, projectsCount }: AddProjectProps) => { + const addProjectMutation = $api.useMutation('post', '/api/projects', { + meta: { + invalidates: [['get', '/api/projects']], + }, + }); + + const addProject = () => { + const newProjectId = uuid(); + const newProjectName = `Project #${projectsCount + 1}`; + + addProjectMutation.mutate({ + body: { + id: newProjectId, + name: newProjectName, + }, + }); + + onSetProjectInEdition(newProjectId); + }; + + return ( + + + Add project + + ); +}; + +export const ProjectsListPanel = () => { + const { projectId } = useProjectIdentifier(); + const { data } = $api.useSuspenseQuery('get', '/api/projects'); + + const [projectInEdition, setProjectInEdition] = useState(null); + + const selectedProject = data.projects.find((project) => project.id === projectId); + const selectedProjectName = selectedProject?.name ?? ''; + + return ( + + + + +
    + + + + {selectedProjectName} + + +
    + + + + + + + + + +     +     + ); +}; diff --git a/application/ui/src/features/inspect/projects-management/projects-list.component.tsx b/application/ui/src/features/inspect/projects-management/projects-list.component.tsx new file mode 100644 index 0000000000..a45717bd28 --- /dev/null +++ b/application/ui/src/features/inspect/projects-management/projects-list.component.tsx @@ -0,0 +1,47 @@ +/** + * Copyright (C) 2025 Intel Corporation + * SPDX-License-Identifier: Apache-2.0 + */ + +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { isEmpty } from 'lodash-es'; + +import { Project, ProjectListItem } from './project-list-item/project-list-item.component'; + +import styles from './projects-list.module.scss'; + +interface ProjectListProps { + projects: Project[]; + projectIdInEdition: string | null; + setProjectInEdition: (projectId: string | null) => void; +} + +export const ProjectsList = ({ projects, setProjectInEdition, projectIdInEdition }: ProjectListProps) => { + const { projectId: currentProjectId } = useProjectIdentifier(); + const isInEditionMode = (projectId?: string) => { + return projectIdInEdition === projectId; + }; + + const handleBlur = (projectId: string, newName: string) => { + setProjectInEdition(null); + + const projectToUpdate = projects.find((project) => project.id === projectId); + if (projectToUpdate?.name === newName || isEmpty(newName.trim())) { + return; + } + }; + + return ( +
      + {projects.map((project) => ( + + ))} +
    + ); +}; diff --git a/application/ui/src/features/inspect/projects-management/projects-list.module.scss b/application/ui/src/features/inspect/projects-management/projects-list.module.scss new file mode 100644 index 0000000000..2358cc2518 --- /dev/null +++ b/application/ui/src/features/inspect/projects-management/projects-list.module.scss @@ -0,0 +1,24 @@ +.panelButtons { + padding-block-start: 0; +} + +.addProjectButton { + color: var(--spectrum-global-color-gray-900); + + & span[class*='spectrum-ActionButton-label'] { + text-align: start; + margin-left: var(--spectrum-global-dimension-size-100) !important; + } +} + +.dialog { + & div[class*='spectrum-Dialog-grid'] { + --spectrum-dialog-padding-x: 0px; + --spectrum-dialog-padding-y: var(--spectrum-global-dimension-size-250); + } +} + +.projectList { + list-style: none; + padding-inline-start: 0; +} diff --git a/application/ui/src/features/inspect/selected-media-item-provider.component.tsx b/application/ui/src/features/inspect/selected-media-item-provider.component.tsx new file mode 100644 index 0000000000..c7df62d93f --- /dev/null +++ b/application/ui/src/features/inspect/selected-media-item-provider.component.tsx @@ -0,0 +1,34 @@ +import { createContext, ReactNode, use, useState } from 'react'; + +import { MediaItem } from './dataset/types'; + +interface SelectedMediaItemContextProps { + selectedMediaItem: MediaItem | undefined; + onSetSelectedMediaItem: (mediaItem: MediaItem | undefined) => void; +} + +const SelectedMediaItemContext = createContext(undefined); + +interface SelectedMediaItemProviderProps { + children: ReactNode; +} + +export const SelectedMediaItemProvider = ({ children }: SelectedMediaItemProviderProps) => { + const [selectedMediaItem, setSelectedMediaItem] = useState(undefined); + + return ( + + {children} + + ); +}; + +export const useSelectedMediaItem = () => { + const context = use(SelectedMediaItemContext); + + if (context === undefined) { + throw new Error('useSelectedMediaItem must be used within a SelectedMediaItemProvider'); + } + + return context; +}; diff --git a/application/ui/src/features/inspect/sidebar.component.tsx b/application/ui/src/features/inspect/sidebar.component.tsx new file mode 100644 index 0000000000..781f2d6ba1 --- /dev/null +++ b/application/ui/src/features/inspect/sidebar.component.tsx @@ -0,0 +1,80 @@ +/** + * Copyright (C) 2025 Intel Corporation + * SPDX-License-Identifier: Apache-2.0 + */ + +import { Dataset as DatasetIcon, Models as ModelsIcon, Stats } from '@geti-inspect/icons'; +import { Flex, Grid, ToggleButton, View } from '@geti/ui'; +import { useSearchParams } from 'react-router-dom'; + +import { Dataset } from './dataset/dataset.component'; +import { Models } from './models/models.component'; + +import styles from './sidebar.module.scss'; + +const TABS = [ + { label: 'Dataset', icon: , content: }, + { label: 'Models', icon: , content: }, + { label: 'Stats', icon: , content: <>Stats }, +]; + +interface TabProps { + tabs: (typeof TABS)[number][]; +} + +const SidebarTabs = ({ tabs }: TabProps) => { + const [searchParams, setSearchParams] = useSearchParams(); + const selectTab = (tab: string | null) => { + if (tab === null) { + searchParams.delete('mode'); + } else { + searchParams.set('mode', tab); + } + setSearchParams(searchParams); + }; + const tab = searchParams.get('mode'); + + const gridTemplateColumns = tab !== null ? ['clamp(size-4600, 35vw, 40rem)', 'size-600'] : ['0px', 'size-600']; + + const content = tabs.find(({ label }) => label === tab)?.content; + + return ( + + + {content} + + + + {tabs.map(({ label, icon }) => ( + selectTab(label === tab ? null : label)} + UNSAFE_className={styles.toggleButton} + aria-label={`Toggle ${label} tab`} + > + {icon} + + ))} + + + + ); +}; + +export const Sidebar = () => { + return ; +}; diff --git a/application/ui/src/features/inspect/sidebar.module.scss b/application/ui/src/features/inspect/sidebar.module.scss new file mode 100644 index 0000000000..9b4bd5d3bb --- /dev/null +++ b/application/ui/src/features/inspect/sidebar.module.scss @@ -0,0 +1,50 @@ +.container { + height: 100%; + transition: grid-template-columns 0.3s ease-in-out; + border-top-width: var(--spectrum-alias-border-size-thin); + border-top-style: solid; + border-color: var(--spectrum-global-color-gray-50); +} + +.sidebarContent { + overflow-x: hidden; + overflow-y: auto; + will-change: opacity, filter; + opacity: 0; + filter: blur(6px); + transition: + opacity 260ms ease-out, + filter 300ms ease-out; + border-right-width: var(--spectrum-alias-border-size-thin); + border-right-style: solid; + border-color: var(--spectrum-global-color-gray-50); +} + +.container[data-expanded='true'] .sidebarContent { + opacity: 1; + filter: blur(0px); +} + +@media (prefers-reduced-motion: reduce) { + .sidebarContent { + filter: none !important; + opacity: 1; + } +} + +.toggleButton { + border: var(--spectrum-alias-border-size-thin) solid transparent !important; + + &[class*='is-hovered'] { + border: var(--spectrum-alias-border-size-thin) solid var(--spectrum-global-color-gray-300) !important; + background-color: var(--spectrum-global-color-gray-300) !important; + border-radius: var(--spectrum-alias-border-radius-regular) !important; + } + + &[class*='is-selected'], + &[class*='is-active'] { + border: var(--spectrum-alias-border-size-thin) solid var(--spectrum-global-color-gray-400) !important; + background-color: var(--spectrum-global-color-gray-400) !important; + border-radius: var(--spectrum-alias-border-radius-regular) !important; + } +} diff --git a/application/ui/src/features/inspect/stream/stream-container.module.scss b/application/ui/src/features/inspect/stream/stream-container.module.scss new file mode 100644 index 0000000000..32aa0b0ccf --- /dev/null +++ b/application/ui/src/features/inspect/stream/stream-container.module.scss @@ -0,0 +1,14 @@ +.canvasContainer { + overflow: hidden; + width: 100%; + height: 100%; +} + +.playButton { + display: flex; + gap: var(--spectrum-global-dimension-size-400); + align-items: center; + padding: var(--spectrum-global-dimension-size-1200); + position: relative; + border-radius: var(--spectrum-alias-border-radius-medium); +} diff --git a/application/ui/src/features/inspect/stream/stream-container.test.tsx b/application/ui/src/features/inspect/stream/stream-container.test.tsx new file mode 100644 index 0000000000..8961c89bf9 --- /dev/null +++ b/application/ui/src/features/inspect/stream/stream-container.test.tsx @@ -0,0 +1,115 @@ +import { QueryClient, QueryClientProvider } from '@tanstack/react-query'; +import { render, screen } from '@testing-library/react'; +import userEvent from '@testing-library/user-event'; +import { HttpResponse } from 'msw'; +import { MemoryRouter, Route, Routes } from 'react-router-dom'; +import { SchemaPipeline } from 'src/api/openapi-spec'; +import { http } from 'src/api/utils'; +import { ZoomProvider } from 'src/components/zoom/zoom'; +import { server } from 'src/msw-node-setup'; + +import { getMockedPipeline } from '../../../../mocks/mock-pipeline'; +import { useWebRTCConnection, WebRTCConnectionState } from '../../../components/stream/web-rtc-connection-provider'; +import { StreamContainer } from './stream-container'; + +vi.mock('../../../components/stream/web-rtc-connection-provider', () => ({ + useWebRTCConnection: vi.fn(), +})); + +describe('StreamContainer', () => { + const renderApp = ({ + webRtcConfig = {}, + pipelineConfig = {}, + }: { + webRtcConfig?: Partial; + pipelineConfig?: Partial; + }) => { + vi.mocked(useWebRTCConnection).mockReturnValue({ + start: vi.fn(), + status: 'idle', + stop: vi.fn(), + webRTCConnectionRef: { current: null }, + ...webRtcConfig, + }); + + server.use( + http.get('/api/projects/{project_id}/pipeline', ({ response }) => + response(200).json(getMockedPipeline(pipelineConfig)) + ) + ); + + render( + + + + + } /> + + + + + ); + }; + + describe('Start stream button', () => { + it('call pipeline enable', async () => { + const mockedStart = vi.fn(); + const pipelinePatchSpy = vi.fn(); + + server.use( + http.post('/api/projects/{project_id}/pipeline:run', () => { + pipelinePatchSpy(); + return HttpResponse.json({}, { status: 204 }); + }) + ); + + renderApp({ webRtcConfig: { status: 'idle', start: mockedStart }, pipelineConfig: { status: 'idle' } }); + + const button = await screen.findByRole('button', { name: /Start stream/i }); + await userEvent.click(button); + + expect(mockedStart).toHaveBeenCalled(); + expect(pipelinePatchSpy).toHaveBeenCalled(); + }); + + it('pipeline enable is enabled', async () => { + const mockedStart = vi.fn(); + const pipelinePatchSpy = vi.fn(); + + server.use( + http.post('/api/projects/{project_id}/pipeline:run', () => { + pipelinePatchSpy(); + return HttpResponse.json({}, { status: 204 }); + }) + ); + + renderApp({ webRtcConfig: { status: 'idle', start: mockedStart }, pipelineConfig: { status: 'running' } }); + + const button = await screen.findByRole('button', { name: /Start stream/i }); + await userEvent.click(button); + + expect(mockedStart).toHaveBeenCalled(); + expect(pipelinePatchSpy).not.toHaveBeenCalled(); + }); + }); + + it('render loading state', async () => { + renderApp({ webRtcConfig: { status: 'connecting' } }); + + expect(await screen.findByLabelText('Loading...')).toBeVisible(); + }); + + it('webRtc connected', async () => { + renderApp({ webRtcConfig: { status: 'connected' } }); + + expect(await screen.findByLabelText('stream player')).toBeVisible(); + }); + + it('autoplay webRtc if pipeline is enabled', async () => { + const mockedStart = vi.fn(); + renderApp({ webRtcConfig: { status: 'idle', start: mockedStart }, pipelineConfig: { status: 'running' } }); + + expect(await screen.findByRole('button', { name: /Start stream/i })).toBeVisible(); + expect(mockedStart).toHaveBeenCalled(); + }); +}); diff --git a/application/ui/src/features/inspect/stream/stream-container.tsx b/application/ui/src/features/inspect/stream/stream-container.tsx new file mode 100644 index 0000000000..db13c8aa92 --- /dev/null +++ b/application/ui/src/features/inspect/stream/stream-container.tsx @@ -0,0 +1,81 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { useEffect, useState } from 'react'; + +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { Button, Flex, Loading, toast, View } from '@geti/ui'; +import { Play } from '@geti/ui/icons'; +import { isEmpty } from 'lodash-es'; +import { useActivatePipeline, usePipeline } from 'src/hooks/use-pipeline.hook'; + +import { useWebRTCConnection } from '../../../components/stream/web-rtc-connection-provider'; +import { isStatusActive } from '../utils'; +import { Stream } from './stream'; + +import classes from './stream-container.module.scss'; + +export const StreamContainer = () => { + const { projectId } = useProjectIdentifier(); + const { data: pipeline } = usePipeline(); + const { start, status } = useWebRTCConnection(); + const activePipeline = useActivatePipeline({ onSuccess: start }); + const [size, setSize] = useState({ height: 608, width: 892 }); + + const hasNoSink = isEmpty(pipeline?.sink); + const hasNoSource = isEmpty(pipeline?.source); + const isPipelineActive = isStatusActive(pipeline.status); + + useEffect(() => { + if (status === 'failed') { + toast({ type: 'error', message: 'Failed to connect to the stream' }); + } + + if (isPipelineActive && status === 'idle') { + start(); + } + }, [isPipelineActive, status, start]); + + const handleStart = async () => { + if (isPipelineActive) { + start(); + } else { + activePipeline.mutate({ params: { path: { project_id: projectId } } }); + } + }; + + return ( + + {status === 'idle' && ( + + + + + + )} + + {(status === 'connecting' || activePipeline.isPending) && ( + + + + + + )} + + {status === 'connected' && } + + ); +}; diff --git a/application/ui/src/features/inspect/stream/stream.tsx b/application/ui/src/features/inspect/stream/stream.tsx new file mode 100644 index 0000000000..66842fdc84 --- /dev/null +++ b/application/ui/src/features/inspect/stream/stream.tsx @@ -0,0 +1,111 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { Dispatch, RefObject, SetStateAction, useCallback, useEffect, useRef } from 'react'; + +import { useWebRTCConnection } from '../../../components/stream/web-rtc-connection-provider'; +import { ZoomTransform } from '../../../components/zoom/zoom-transform'; + +interface StreamProps { + size: { width: number; height: number }; + setSize: Dispatch>; +} + +const useSetTargetSizeBasedOnVideo = ( + setSize: Dispatch>, + videoRef: RefObject +) => { + useEffect(() => { + const video = videoRef.current; + if (!video) return; + + const onLoaded = () => { + if (video.videoWidth && video.videoHeight) { + setSize({ width: video.videoWidth, height: video.videoHeight }); + } + }; + + const resizeObserver = new ResizeObserver(() => { + if (video.videoWidth && video.videoHeight) { + setSize({ width: video.videoWidth, height: video.videoHeight }); + } + }); + + video.addEventListener('loadedmetadata', onLoaded); + resizeObserver.observe(video); + + return () => { + video.removeEventListener('loadedmetadata', onLoaded); + resizeObserver.disconnect(); + }; + }, [setSize, videoRef]); +}; + +const useStreamToVideo = () => { + const videoRef = useRef(null); + + const { status, webRTCConnectionRef } = useWebRTCConnection(); + + const connect = useCallback(async () => { + const videoOutput = videoRef.current; + const webrtcConnection = webRTCConnectionRef.current; + const peerConnection = webrtcConnection?.getPeerConnection(); + + if (!peerConnection) { + return; + } + + const receivers = peerConnection.getReceivers() ?? []; + const stream = new MediaStream(receivers.map((receiver) => receiver.track).filter(Boolean)); + + if (videoOutput && videoOutput.srcObject !== stream) { + videoOutput.srcObject = stream; + } + }, [videoRef, webRTCConnectionRef]); + + useEffect(() => { + if (status === 'connected') { + connect(); + } + }, [status, connect]); + + useEffect(() => { + const webrtcConnection = webRTCConnectionRef.current; + const peerConnection = webrtcConnection?.getPeerConnection(); + + if (!peerConnection) { + return; + } + + peerConnection.addEventListener('track', connect); + + return () => { + peerConnection.removeEventListener('track', connect); + }; + }, [webRTCConnectionRef, connect]); + + return videoRef; +}; + +export const Stream = ({ size, setSize }: StreamProps) => { + const videoRef = useStreamToVideo(); + useSetTargetSizeBasedOnVideo(setSize, videoRef); + + return ( + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/inference-opacity.tsx b/application/ui/src/features/inspect/toolbar/inference-opacity.tsx new file mode 100644 index 0000000000..4d58e83189 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/inference-opacity.tsx @@ -0,0 +1,36 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { ActionButton, DialogTrigger, Flex, Slider, Text, View } from '@geti/ui'; +import { ChevronDownSmall } from '@geti/ui/icons'; + +import { useInference } from '../inference-provider.component'; + +export const InferenceOpacity = () => { + const { inferenceOpacity, onInferenceOpacityChange, inferenceResult } = useInference(); + + return ( + + Opacity: + + + + {Math.floor(inferenceOpacity * 100)}% + + + + + + + + + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/models-picker.component.tsx b/application/ui/src/features/inspect/toolbar/models-picker.component.tsx new file mode 100644 index 0000000000..82eefeac5d --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/models-picker.component.tsx @@ -0,0 +1,51 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { useEffect } from 'react'; + +import { $api } from '@geti-inspect/api'; +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { Item, Picker } from '@geti/ui'; + +import { useInference } from '../inference-provider.component'; + +const useTrainedModels = () => { + const { projectId } = useProjectIdentifier(); + const { data } = $api.useQuery('get', '/api/projects/{project_id}/models', { + params: { + path: { + project_id: projectId, + }, + }, + }); + + return data?.models.map((model) => ({ id: model.id, name: model.name })) || []; +}; + +export const ModelsPicker = () => { + const models = useTrainedModels(); + const { selectedModelId, onSetSelectedModelId } = useInference(); + + useEffect(() => { + if (selectedModelId !== undefined || models.length === 0) { + return; + } + + onSetSelectedModelId(models[0].id); + }, [selectedModelId, models, onSetSelectedModelId]); + + if (models === undefined || models.length === 0) { + return null; + } + + return ( + onSetSelectedModelId(String(key))} + > + {(item) => {item.name}} + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/pipeline-configuration.component.tsx b/application/ui/src/features/inspect/toolbar/pipeline-configuration.component.tsx new file mode 100644 index 0000000000..ec9817c84e --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/pipeline-configuration.component.tsx @@ -0,0 +1,69 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { CSSProperties, Suspense } from 'react'; + +import { PipelineLink } from '@geti-inspect/icons'; +import { + Button, + Content, + Dialog, + DialogTrigger, + dimensionValue, + Item, + Loading, + TabList, + TabPanels, + Tabs, + Text, + View, +} from '@geti/ui'; + +import { SinkActions } from './sinks/sink-actions.component'; +import { SourceActions } from './sources/source-actions.component'; + +const paddingStyle = { + '--spectrum-dialog-padding-x': dimensionValue('size-300'), + '--spectrum-dialog-padding-y': dimensionValue('size-300'), +} as CSSProperties; + +export const InputOutputSetup = () => { + return ( + + + + + + + + Input + + + Output + + + + + + }> + + + + + + + }> + + + + + + + + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/pipeline-switch/pipeline-switch.component.tsx b/application/ui/src/features/inspect/toolbar/pipeline-switch/pipeline-switch.component.tsx new file mode 100644 index 0000000000..72be0fbcbb --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/pipeline-switch/pipeline-switch.component.tsx @@ -0,0 +1,58 @@ +import { usePipeline, useProjectIdentifier, useRunPipeline, useStopPipeline } from '@geti-inspect/hooks'; +import { Flex, Switch } from '@geti/ui'; +import isEmpty from 'lodash-es/isEmpty'; +import { useWebRTCConnection } from 'src/components/stream/web-rtc-connection-provider'; + +import { useSelectedMediaItem } from '../../selected-media-item-provider.component'; +import { isStatusActive } from '../../utils'; +import { WebRTCConnectionStatus } from './web-rtc-connection-status.component'; + +import classes from './pipeline-switch.module.scss'; + +export const PipelineSwitch = () => { + const { projectId } = useProjectIdentifier(); + const stopPipeline = useStopPipeline(projectId); + const { status, start } = useWebRTCConnection(); + const { onSetSelectedMediaItem } = useSelectedMediaItem(); + const { data: pipeline, isLoading } = usePipeline(); + + const runPipeline = useRunPipeline({ + onSuccess: async () => { + await start(); + onSetSelectedMediaItem(undefined); + }, + }); + + const isSinkMissing = isEmpty(pipeline.sink?.id); + const isModelMissing = isEmpty(pipeline.model?.id); + const isPipelineActive = isStatusActive(pipeline.status); + const isWebRtcConnecting = status === 'connecting'; + const isProcessing = runPipeline.isPending || stopPipeline.isPending; + + const handleChange = (isSelected: boolean) => { + const handler = isSelected ? runPipeline.mutate : stopPipeline.mutate; + + handler({ params: { path: { project_id: projectId } } }); + }; + + return ( + + + Enabled + + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/pipeline-switch/pipeline-switch.module.scss b/application/ui/src/features/inspect/toolbar/pipeline-switch/pipeline-switch.module.scss new file mode 100644 index 0000000000..614ccf30a9 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/pipeline-switch/pipeline-switch.module.scss @@ -0,0 +1,3 @@ +.switch { + margin: 0px; +} diff --git a/application/ui/src/features/inspect/toolbar/pipeline-switch/pipeline-switch.test.tsx b/application/ui/src/features/inspect/toolbar/pipeline-switch/pipeline-switch.test.tsx new file mode 100644 index 0000000000..d4715cfb47 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/pipeline-switch/pipeline-switch.test.tsx @@ -0,0 +1,227 @@ +import { QueryClient, QueryClientProvider } from '@tanstack/react-query'; +import { render, screen, waitFor } from '@testing-library/react'; +import userEvent from '@testing-library/user-event'; +import { HttpResponse } from 'msw'; +import { MemoryRouter, Route, Routes } from 'react-router-dom'; +import { SchemaPipeline } from 'src/api/openapi-spec'; +import { http } from 'src/api/utils'; +import { server } from 'src/msw-node-setup'; + +import { getMockedPipeline } from '../../../../../mocks/mock-pipeline'; +import { useWebRTCConnection, WebRTCConnectionState } from '../../../../components/stream/web-rtc-connection-provider'; +import { useSelectedMediaItem } from '../../selected-media-item-provider.component'; +import { PipelineSwitch } from './pipeline-switch.component'; + +vi.mock('../../../../components/stream/web-rtc-connection-provider', () => ({ + useWebRTCConnection: vi.fn(), +})); + +vi.mock('../../selected-media-item-provider.component', () => ({ + useSelectedMediaItem: vi.fn(), +})); + +describe('PipelineSwitch', () => { + const renderApp = ({ + webRtcConfig = {}, + pipelineConfig = {}, + onSetSelectedMediaItem = vi.fn(), + }: { + webRtcConfig?: Partial; + pipelineConfig?: Partial; + onSetSelectedMediaItem?: () => void; + } = {}) => { + vi.mocked(useWebRTCConnection).mockReturnValue({ + status: 'idle', + stop: vi.fn(), + start: vi.fn(), + webRTCConnectionRef: { current: null }, + ...webRtcConfig, + }); + + vi.mocked(useSelectedMediaItem).mockReturnValue({ + selectedMediaItem: undefined, + onSetSelectedMediaItem, + }); + + server.use( + http.get('/api/projects/{project_id}/pipeline', ({ response }) => + response(200).json(getMockedPipeline(pipelineConfig)) + ) + ); + + return render( + + + + } /> + + + + ); + }; + + beforeEach(() => { + vi.clearAllMocks(); + }); + + describe('Switch rendering', () => { + it('renders the switch with "Enabled" label', async () => { + renderApp(); + + expect(await screen.findByText('Enabled')).toBeVisible(); + }); + + it('switch is selected when pipeline status is "running"', async () => { + renderApp({ pipelineConfig: { status: 'running' } }); + + expect(await screen.findByRole('switch')).toBeChecked(); + }); + + it('switch is not selected when pipeline status is not "running"', async () => { + renderApp({ pipelineConfig: { status: 'idle' } }); + + expect(await screen.findByRole('switch')).not.toBeChecked(); + }); + }); + + describe('Switch disabled states', () => { + it('model is missing', async () => { + renderApp({ pipelineConfig: { model: undefined } }); + + expect(await screen.findByRole('switch')).toBeDisabled(); + }); + + it('model id is empty', async () => { + renderApp({ pipelineConfig: { model: { id: '' } as SchemaPipeline['model'] } }); + + expect(await screen.findByRole('switch')).toBeDisabled(); + }); + + it('pipeline status is not active', async () => { + renderApp({ pipelineConfig: { status: 'idle' } }); + + expect(await screen.findByRole('switch')).toBeDisabled(); + }); + + it('WebRTC is connecting', async () => { + renderApp({ webRtcConfig: { status: 'connecting' } }); + + expect(await screen.findByRole('switch')).toBeDisabled(); + }); + + it('source is missing', async () => { + renderApp({ pipelineConfig: { source: undefined } }); + + expect(await screen.findByRole('switch')).toBeEnabled(); + }); + + it('sink is missing', async () => { + renderApp({ pipelineConfig: { sink: undefined } }); + + expect(await screen.findByRole('switch')).toBeDisabled(); + }); + + it('both source and sink are missing', async () => { + renderApp({ pipelineConfig: { source: undefined, sink: undefined } }); + + expect(await screen.findByRole('switch')).toBeDisabled(); + }); + + it('is enabled when pipeline is active and all required components are present', async () => { + renderApp({ pipelineConfig: { status: 'active' } }); + + expect(await screen.findByRole('switch')).toBeEnabled(); + }); + + it('is enabled when pipeline status is "running"', async () => { + renderApp({ pipelineConfig: { status: 'running' } }); + + expect(await screen.findByRole('switch')).toBeEnabled(); + }); + }); + + describe('Switch interactions', () => { + it('calls runPipeline when switch is turned on', async () => { + const mockStart = vi.fn(); + const runPipelineSpy = vi.fn(); + const mockOnSetSelectedMediaItem = vi.fn(); + + server.use( + http.post('/api/projects/{project_id}/pipeline:run', () => { + runPipelineSpy(); + return HttpResponse.json({}, { status: 204 }); + }) + ); + + renderApp({ + pipelineConfig: { status: 'active' }, + webRtcConfig: { start: mockStart }, + onSetSelectedMediaItem: mockOnSetSelectedMediaItem, + }); + + expect(await screen.findByRole('switch')).not.toBeChecked(); + + await userEvent.click(await screen.findByRole('switch')); + + await waitFor(() => { + expect(runPipelineSpy).toHaveBeenCalled(); + expect(mockStart).toHaveBeenCalled(); + expect(mockOnSetSelectedMediaItem).toHaveBeenCalledWith(undefined); + }); + }); + + it('stops inference when switch is turned off', async () => { + const mockStart = vi.fn(); + const stopPipelineSpy = vi.fn(); + + server.use( + http.post('/api/projects/{project_id}/pipeline:stop', () => { + stopPipelineSpy(); + return HttpResponse.json({}, { status: 204 }); + }) + ); + + renderApp({ pipelineConfig: { status: 'running' }, webRtcConfig: { start: mockStart } }); + + expect(await screen.findByRole('switch')).toBeChecked(); + + await userEvent.click(await screen.findByRole('switch')); + + await waitFor(() => { + expect(stopPipelineSpy).toHaveBeenCalled(); + expect(mockStart).not.toHaveBeenCalled(); + }); + }); + + it('starts WebRTC connection after successful runPipeline', async () => { + const mockStart = vi.fn(); + + server.use( + http.post('/api/projects/{project_id}/pipeline:run', () => HttpResponse.json({}, { status: 204 })) + ); + + renderApp({ pipelineConfig: { status: 'active' }, webRtcConfig: { start: mockStart } }); + + await userEvent.click(await screen.findByRole('switch')); + + await waitFor(() => { + expect(mockStart).toHaveBeenCalled(); + }); + }); + + it('clears selected media item after successful runPipeline', async () => { + const mockOnSetSelectedMediaItem = vi.fn(); + server.use( + http.post('/api/projects/{project_id}/pipeline:run', () => HttpResponse.json({}, { status: 204 })) + ); + + renderApp({ pipelineConfig: { status: 'active' }, onSetSelectedMediaItem: mockOnSetSelectedMediaItem }); + + await userEvent.click(await screen.findByRole('switch')); + + await waitFor(() => { + expect(mockOnSetSelectedMediaItem).toHaveBeenCalledWith(undefined); + }); + }); + }); +}); diff --git a/application/ui/src/features/inspect/toolbar/pipeline-switch/web-rtc-connection-status.component.tsx b/application/ui/src/features/inspect/toolbar/pipeline-switch/web-rtc-connection-status.component.tsx new file mode 100644 index 0000000000..308aa41929 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/pipeline-switch/web-rtc-connection-status.component.tsx @@ -0,0 +1,61 @@ +import { Flex, PressableElement, StatusLight, Tooltip, TooltipTrigger } from '@geti/ui'; + +import { useWebRTCConnection } from '../../../../components/stream/web-rtc-connection-provider'; + +export const WebRTCConnectionStatus = () => { + const { status } = useWebRTCConnection(); + + switch (status) { + case 'idle': + return ( + + + Idle + + + ); + case 'connecting': + return ( + + + Connecting + + + ); + case 'disconnected': + return ( + + + Disconnected + + + ); + case 'failed': + return ( + + + Failed + + + ); + case 'connected': + return ( + + + + + Connected + + + WebRTC is ready to use + + + ); + } +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/add-sink/add-sink.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/add-sink/add-sink.component.tsx new file mode 100644 index 0000000000..3797e69ef1 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/add-sink/add-sink.component.tsx @@ -0,0 +1,38 @@ +import { ReactNode } from 'react'; + +import { Button, Form } from '@geti/ui'; + +import { useConnectSinkToPipeline } from '../../../../../hooks/use-pipeline.hook'; +import { useSinkAction } from '../hooks/use-sink-action.hook'; +import { SinkConfig } from '../utils'; + +interface AddSinkProps { + config: Awaited; + onSaved: () => void; + componentFields: (state: Awaited) => ReactNode; + bodyFormatter: (formData: FormData) => T; +} + +export const AddSink = ({ config, onSaved, bodyFormatter, componentFields }: AddSinkProps) => { + const connectToPipelineMutation = useConnectSinkToPipeline(); + + const [state, submitAction, isPending] = useSinkAction({ + config, + isNewSink: true, + onSaved: async (sourceId) => { + await connectToPipelineMutation(sourceId); + onSaved(); + }, + bodyFormatter, + }); + + return ( +
    + <>{componentFields(state)} + + +
    + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/edit-sink-form.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/edit-sink-form.component.tsx new file mode 100644 index 0000000000..c7ee51d08e --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/edit-sink-form.component.tsx @@ -0,0 +1,68 @@ +import { EditSink } from './edit-sink/edit-sink.component'; +import { LocalFolderFields } from './local-folder-fields/local-folder-fields.component'; +import { localFolderBodyFormatter } from './local-folder-fields/utils'; +import { MqttFields } from './mqtt-fields/mqtt-fields.component'; +import { mqttBodyFormatter } from './mqtt-fields/utils'; +import { RosFields } from './ros-fields/ros-fields.component'; +import { rosBodyFormatter } from './ros-fields/utils'; +import { SinkConfig } from './utils'; +import { webhookBodyFormatter } from './webhook-fields/utils'; +import { WebhookFields } from './webhook-fields/webhook-fields.component'; + +interface EditSinkFormProps { + config: SinkConfig; + onSaved: () => void; + onBackToList: () => void; +} + +export const EditSinkForm = ({ config, onSaved, onBackToList }: EditSinkFormProps) => { + if (config.sink_type === 'folder') { + return ( + } + bodyFormatter={localFolderBodyFormatter} + /> + ); + } + + if (config.sink_type === 'webhook') { + return ( + } + bodyFormatter={webhookBodyFormatter} + /> + ); + } + + if (config.sink_type === 'mqtt') { + return ( + } + bodyFormatter={mqttBodyFormatter} + /> + ); + } + + if (config.sink_type === 'ros') { + return ( + } + bodyFormatter={rosBodyFormatter} + /> + ); + } + + return <>; +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/edit-sink/edit-sink.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/edit-sink/edit-sink.component.tsx new file mode 100644 index 0000000000..2b51982b6c --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/edit-sink/edit-sink.component.tsx @@ -0,0 +1,77 @@ +import { ReactNode, useRef } from 'react'; + +import { ActionButton, Button, ButtonGroup, Divider, Flex, Form, Text, View } from '@geti/ui'; +import { Back } from '@geti/ui/icons'; + +import { useConnectSinkToPipeline } from '../../../../../hooks/use-pipeline.hook'; +import { useSinkAction } from '../hooks/use-sink-action.hook'; +import { SinkConfig } from '../utils'; + +import classes from './edit-sink.module.scss'; + +interface EditSinkProps { + config: Awaited; + onSaved: () => void; + onBackToList: () => void; + componentFields: (state: Awaited) => ReactNode; + bodyFormatter: (formData: FormData) => T; +} + +export const EditSink = ({ + config, + onSaved, + onBackToList, + bodyFormatter, + componentFields, +}: EditSinkProps) => { + const connectToPipeline = useRef(false); + const connectToPipelineMutation = useConnectSinkToPipeline(); + + const [state, submitAction, isPending] = useSinkAction({ + config, + isNewSink: false, + onSaved: async (sinkId) => { + connectToPipeline.current && (await connectToPipelineMutation(sinkId)); + connectToPipeline.current = false; + onSaved(); + }, + bodyFormatter, + }); + + return ( +
    + + + + + + Edit sink + + + + <>{componentFields(state)} + + + + + + + + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/edit-sink/edit-sink.module.scss b/application/ui/src/features/inspect/toolbar/sinks/edit-sink/edit-sink.module.scss new file mode 100644 index 0000000000..8aeb44db95 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/edit-sink/edit-sink.module.scss @@ -0,0 +1,6 @@ +.container { + background: #2e2f32; + border: 1px solid var(--background-inverse); + border-radius: var(--spectrum-global-dimension-size-100); + padding: var(--spectrum-global-dimension-size-200); +} diff --git a/application/ui/src/features/inspect/toolbar/sinks/hooks/use-sink-action.hook.tsx b/application/ui/src/features/inspect/toolbar/sinks/hooks/use-sink-action.hook.tsx new file mode 100644 index 0000000000..363f7fb863 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/hooks/use-sink-action.hook.tsx @@ -0,0 +1,49 @@ +import { useActionState } from 'react'; + +import { toast } from '@geti/ui'; +import { isFunction } from 'lodash'; + +import { SinkConfig } from '../utils'; +import { useSinkMutation } from './use-sink-mutation.hook'; + +interface useSinkActionProps { + config: Awaited; + isNewSink: boolean; + onSaved?: (sink_id: string) => void; + bodyFormatter: (formData: FormData) => T; +} + +export const useSinkAction = ({ + config, + isNewSink, + onSaved, + bodyFormatter, +}: useSinkActionProps) => { + const addOrUpdateSink = useSinkMutation(isNewSink); + + return useActionState(async (_prevState: T, formData: FormData) => { + const body = bodyFormatter(formData); + + try { + const sink_id = await addOrUpdateSink(body); + + toast({ + type: 'success', + message: `Sink configuration ${isNewSink ? 'created' : 'updated'} successfully.`, + }); + + isFunction(onSaved) && onSaved(sink_id); + + return { ...body, id: sink_id }; + } catch (error: unknown) { + const details = (error as { detail?: string })?.detail; + + toast({ + type: 'error', + message: `Failed to save sink configuration, ${details ?? 'please try again'}`, + }); + } + + return body; + }, config); +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/hooks/use-sink-mutation.hook.tsx b/application/ui/src/features/inspect/toolbar/sinks/hooks/use-sink-mutation.hook.tsx new file mode 100644 index 0000000000..7c2063a4d1 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/hooks/use-sink-mutation.hook.tsx @@ -0,0 +1,41 @@ +import { $api } from '@geti-inspect/api'; +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { omit } from 'lodash-es'; + +import { SinkConfig } from '../utils'; + +export const useSinkMutation = (isNewSink: boolean) => { + const { projectId } = useProjectIdentifier(); + const addSink = $api.useMutation('post', '/api/projects/{project_id}/sinks', { + meta: { + invalidates: [['get', '/api/projects/{project_id}/sinks', { params: { path: { project_id: projectId } } }]], + }, + }); + const updateSink = $api.useMutation('patch', '/api/projects/{project_id}/sinks/{sink_id}', { + params: { path: { project_id: projectId } }, + meta: { + invalidates: [['get', '/api/projects/{project_id}/sinks', { params: { path: { project_id: projectId } } }]], + }, + }); + + return async (body: SinkConfig) => { + if (isNewSink) { + // Omit id and project_id when creating - they're auto-generated/injected from URL + const sinkPayload = omit(body, ['id', 'project_id']) as Parameters[0]['body']; + + const response = await addSink.mutateAsync({ + body: sinkPayload, + params: { path: { project_id: projectId } }, + }); + + return String(response.id); + } + + const response = await updateSink.mutateAsync({ + params: { path: { project_id: projectId, sink_id: String(body.id) } }, + body: omit(body, 'sink_type'), + }); + + return String(response.id); + }; +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/local-folder-fields/local-folder-fields.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/local-folder-fields/local-folder-fields.component.tsx new file mode 100644 index 0000000000..b0f6f2aa85 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/local-folder-fields/local-folder-fields.component.tsx @@ -0,0 +1,52 @@ +import { Flex, NumberField, TextField } from '@geti/ui'; + +import { ReactComponent as FolderIcon } from '../../../../../assets/icons/folder.svg'; +import { OutputFormats } from '../output-formats/output-formats.component'; +import { LocalFolderSinkConfig } from '../utils'; + +import classes from './local-folder-fields.module.scss'; + +interface LocalFolderFieldsProps { + defaultState: LocalFolderSinkConfig; +} + +export const LocalFolderFields = ({ defaultState }: LocalFolderFieldsProps) => { + return ( + + + + + + + + + + + + + + + + + + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/local-folder-fields/local-folder-fields.module.scss b/application/ui/src/features/inspect/toolbar/sinks/local-folder-fields/local-folder-fields.module.scss new file mode 100644 index 0000000000..26d3fc962a --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/local-folder-fields/local-folder-fields.module.scss @@ -0,0 +1,15 @@ +.folderIcon { + width: var(--spectrum-global-dimension-size-400); + min-width: auto; + border-radius: 4px; + padding: 0px; + background-color: var(--spectrum-accent-background-color-default); + + svg { + stroke: var(--spectrum-global-color-gray-50); + } + + &:hover { + background-color: var(var(--spectrum-accent-background-color-hover)); + } +} diff --git a/application/ui/src/features/inspect/toolbar/sinks/local-folder-fields/utils.ts b/application/ui/src/features/inspect/toolbar/sinks/local-folder-fields/utils.ts new file mode 100644 index 0000000000..0d9b4b88d5 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/local-folder-fields/utils.ts @@ -0,0 +1,23 @@ +import { v4 as uuid } from 'uuid'; + +import { LocalFolderSinkConfig, SinkOutputFormats } from '../utils'; + +export const getLocalFolderInitialConfig = (project_id: string): LocalFolderSinkConfig => ({ + id: uuid(), + name: '', + project_id, + sink_type: 'folder', + rate_limit: 0, + folder_path: '', + output_formats: [], +}); + +export const localFolderBodyFormatter = (formData: FormData): LocalFolderSinkConfig => ({ + id: String(formData.get('id')), + name: String(formData.get('name')), + sink_type: 'folder', + rate_limit: formData.get('rate_limit') ? Number(formData.get('rate_limit')) : 0, + folder_path: String(formData.get('folder_path')), + project_id: String(formData.get('project_id')), + output_formats: formData.getAll('output_formats') as SinkOutputFormats, +}); diff --git a/application/ui/src/features/inspect/toolbar/sinks/mqtt-fields/mqtt-fields.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/mqtt-fields/mqtt-fields.component.tsx new file mode 100644 index 0000000000..bc3d2daad3 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/mqtt-fields/mqtt-fields.component.tsx @@ -0,0 +1,51 @@ +import { Flex, NumberField, Switch, TextField } from '@geti/ui'; + +import { OutputFormats } from '../output-formats/output-formats.component'; +import { MqttSinkConfig } from '../utils'; + +interface MqttFieldsProps { + defaultState: MqttSinkConfig; +} + +export const MqttFields = ({ defaultState }: MqttFieldsProps) => { + return ( + + + + + + + + + + + + + + + Auth Required + + + + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/mqtt-fields/utils.ts b/application/ui/src/features/inspect/toolbar/sinks/mqtt-fields/utils.ts new file mode 100644 index 0000000000..6629a1e560 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/mqtt-fields/utils.ts @@ -0,0 +1,29 @@ +import { v4 as uuid } from 'uuid'; + +import { MqttSinkConfig, SinkOutputFormats } from '../utils'; + +export const getMqttInitialConfig = (project_id: string): MqttSinkConfig => ({ + id: uuid(), + name: '', + project_id, + topic: '', + sink_type: 'mqtt', + rate_limit: 0, + broker_host: '', + broker_port: 0, + auth_required: false, + output_formats: [], +}); + +export const mqttBodyFormatter = (formData: FormData): MqttSinkConfig => ({ + id: String(formData.get('id')), + name: String(formData.get('name')), + topic: String(formData.get('topic')), + sink_type: 'mqtt', + rate_limit: formData.get('rate_limit') ? Number(formData.get('rate_limit')) : 0, + broker_host: String(formData.get('broker_host')), + broker_port: formData.get('broker_port') ? Number(formData.get('broker_port')) : 0, + auth_required: formData.get('auth_required') === 'on', + output_formats: formData.getAll('output_formats') as SinkOutputFormats, + project_id: String(formData.get('project_id')), +}); diff --git a/application/ui/src/features/inspect/toolbar/sinks/output-formats/output-formats.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/output-formats/output-formats.component.tsx new file mode 100644 index 0000000000..aff69dc24e --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/output-formats/output-formats.component.tsx @@ -0,0 +1,30 @@ +import { Checkbox, CheckboxGroup } from '@geti/ui'; + +import { OutputFormat, SinkOutputFormats } from '../utils'; + +import classes from './output-formats.module.scss'; + +type OutputFormatsProps = { + config?: SinkOutputFormats; +}; + +export const OutputFormats = ({ config = [] }: OutputFormatsProps) => { + return ( + + + Predictions + + + Image Original + + + Image with Predictions + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/output-formats/output-formats.module.scss b/application/ui/src/features/inspect/toolbar/sinks/output-formats/output-formats.module.scss new file mode 100644 index 0000000000..e94b7badb5 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/output-formats/output-formats.module.scss @@ -0,0 +1,7 @@ +.itemList { + [role='group'] { + display: flex; + flex-wrap: wrap; + flex-direction: row; + } +} diff --git a/application/ui/src/features/inspect/toolbar/sinks/ros-fields/ros-fields.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/ros-fields/ros-fields.component.tsx new file mode 100644 index 0000000000..8416e06360 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/ros-fields/ros-fields.component.tsx @@ -0,0 +1,32 @@ +import { Flex, NumberField, TextField } from '@geti/ui'; + +import { OutputFormats } from '../output-formats/output-formats.component'; +import { RosSinkConfig } from '../utils'; + +interface RosFieldsProps { + defaultState: RosSinkConfig; +} + +export const RosFields = ({ defaultState }: RosFieldsProps) => { + return ( + + + + + + + + + + + + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/ros-fields/utils.ts b/application/ui/src/features/inspect/toolbar/sinks/ros-fields/utils.ts new file mode 100644 index 0000000000..cde89d3c4e --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/ros-fields/utils.ts @@ -0,0 +1,23 @@ +import { v4 as uuid } from 'uuid'; + +import { RosSinkConfig, SinkOutputFormats } from '../utils'; + +export const getRosInitialConfig = (project_id: string): RosSinkConfig => ({ + id: uuid(), + name: '', + project_id, + topic: '', + rate_limit: 0, + output_formats: [], + sink_type: 'ros', +}); + +export const rosBodyFormatter = (formData: FormData): RosSinkConfig => ({ + id: String(formData.get('id')), + name: String(formData.get('name')), + topic: String(formData.get('topic')), + sink_type: 'ros', + rate_limit: formData.get('rate_limit') ? Number(formData.get('rate_limit')) : 0, + output_formats: formData.getAll('output_formats') as SinkOutputFormats, + project_id: String(formData.get('project_id')), +}); diff --git a/application/ui/src/features/inspect/toolbar/sinks/sink-actions.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/sink-actions.component.tsx new file mode 100644 index 0000000000..9ca9e10bbc --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/sink-actions.component.tsx @@ -0,0 +1,57 @@ +import { useState } from 'react'; + +import { $api } from '@geti-inspect/api'; +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { ActionButton, Flex, Text } from '@geti/ui'; +import { Back } from '@geti/ui/icons'; +import { isEmpty } from 'lodash-es'; + +import { EditSinkForm } from './edit-sink-form.component'; +import { SinkList } from './sink-list/sink-list.component'; +import { SinkOptions } from './sink-options.component'; +import { SinkConfig } from './utils'; + +export const SinkActions = () => { + const { projectId } = useProjectIdentifier(); + const sinksQuery = $api.useSuspenseQuery('get', '/api/projects/{project_id}/sinks', { + params: { path: { project_id: projectId } }, + }); + + const sinks = sinksQuery.data ?? []; + + const [view, setView] = useState<'list' | 'options' | 'edit'>(isEmpty(sinks) ? 'options' : 'list'); + const [currentSink, setCurrentSink] = useState(null); + + const handleShowList = () => { + setView('list'); + }; + + const handleAddSinks = () => { + setView('options'); + }; + + const handleEditSink = (sink: SinkConfig) => { + setView('edit'); + setCurrentSink(sink); + }; + + if (view === 'edit' && !isEmpty(currentSink)) { + return ; + } + + if (view === 'list') { + return ; + } + + return ( + 0}> + + + + + + Add new sink + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/sink-list/settings-list/settings-list.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/sink-list/settings-list/settings-list.component.tsx new file mode 100644 index 0000000000..ac9cef3856 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/sink-list/settings-list/settings-list.component.tsx @@ -0,0 +1,91 @@ +import { removeUnderscore } from '../../../../utils'; +import { SinkConfig, SinkOutputFormats, WebhookSinkConfig } from '../../utils'; +import { getPairsFromObject } from '../../webhook-fields/utils'; + +import classes from './settings-list.module.scss'; + +interface SettingsListProps { + sink: SinkConfig; +} + +const OutputFormats = ({ outputFormats }: { outputFormats: SinkOutputFormats }) => { + return ( +
      + {outputFormats.map((item) => ( +
    • {removeUnderscore(item)}
      • + ))} +
    + ); +}; + +const WebhookHeaders = ({ sink }: { sink: WebhookSinkConfig }) => { + return ( +
      + {getPairsFromObject(sink.headers ?? {}).map((pair) => ( +
    • + {pair.key}: {pair.value} +
      • + ))} +
    + ); +}; + +export const SettingsList = ({ sink }: SettingsListProps) => { + if (sink.sink_type === 'folder') { + return ( +
      +
    • Folder path: {sink.folder_path}
      • +
    • Rate limit: {sink.rate_limit}
      • +
    • + Output formats: +
      • +
    + ); + } + + if (sink.sink_type === 'webhook') { + return ( +
      +
    • Rate limit: {sink.rate_limit}
      • +
    • HTTP method: {sink.http_method}
      • +
    • Timeout: {sink.timeout}
      • +
    • Webhook URL: {sink.webhook_url}
      • +
    • + Headers +
      • +
    • + Output formats: +
      • +
    + ); + } + + if (sink.sink_type === 'mqtt') { + return ( +
      +
    • Topic: {sink.topic}
      • +
    • Rate limit: {sink.rate_limit}
      • +
    • Auth required: {sink.auth_required ? 'Yes' : 'No'}
      • +
    • Broker host: {sink.broker_host}
      • +
    • Broker port: {sink.broker_port}
      • +
    • + Output formats: +
      • +
    + ); + } + + if (sink.sink_type === 'ros') { + return ( +
      +
    • Topic: {sink.topic}
      • +
    • Rate limit: {sink.rate_limit}
      • +
    • + Output formats: +
      • +
    + ); + } + + return <>; +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/sink-list/settings-list/settings-list.module.scss b/application/ui/src/features/inspect/toolbar/sinks/sink-list/settings-list/settings-list.module.scss new file mode 100644 index 0000000000..a53cfcf8df --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/sink-list/settings-list/settings-list.module.scss @@ -0,0 +1,9 @@ +.list { + margin-left: var(--spectrum-global-dimension-font-size-200); + list-style-type: disc; + + ul { + list-style-type: circle; + margin-inline-start: var(--spectrum-global-dimension-font-size-200); + } +} diff --git a/application/ui/src/features/inspect/toolbar/sinks/sink-list/sink-icon/sink-icon.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/sink-list/sink-icon/sink-icon.component.tsx new file mode 100644 index 0000000000..33032be6ea --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/sink-list/sink-icon/sink-icon.component.tsx @@ -0,0 +1,25 @@ +import { Folder, Mqtt, Ros, Webhook } from '@geti-inspect/icons'; + +interface SinkIconProps { + type: 'folder' | 'mqtt' | 'webhook' | 'ros' | 'disconnected'; +} + +export const SinkIcon = ({ type }: SinkIconProps) => { + if (type === 'folder') { + return ; + } + + if (type === 'mqtt') { + return ; + } + + if (type === 'ros') { + return ; + } + + if (type === 'webhook') { + return ; + } + + return <>; +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/sink-list/sink-list.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/sink-list/sink-list.component.tsx new file mode 100644 index 0000000000..06b1065881 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/sink-list/sink-list.component.tsx @@ -0,0 +1,84 @@ +import { Add as AddIcon } from '@geti/ui/icons'; +import { clsx } from 'clsx'; +import { isEqual } from 'lodash-es'; +import { Button, Flex, Text } from 'packages/ui'; + +import { StatusTag } from '../../../../../components/status-tag/status-tag.component'; +import { usePipeline } from '../../../../../hooks/use-pipeline.hook'; +import { removeUnderscore } from '../../../utils'; +import { SinkConfig } from '../utils'; +import { SettingsList } from './settings-list/settings-list.component'; +import { SinkIcon } from './sink-icon/sink-icon.component'; +import { SinkMenu } from './sink-menu/sink-menu.component'; + +import classes from './sink-list.module.scss'; + +type SinksListProps = { + sinks: SinkConfig[]; + onAddSink: () => void; + onEditSink: (config: SinkConfig) => void; +}; + +type SinksListItemProps = { + sink: SinkConfig; + isConnected: boolean; + onEditSink: (config: SinkConfig) => void; +}; + +const SinkListItem = ({ sink, isConnected, onEditSink }: SinksListItemProps) => { + return ( + + + + + + {sink.name} + + {removeUnderscore(sink.sink_type)} + + + + + + + + + onEditSink(sink)} + /> + + + ); +}; + +export const SinkList = ({ sinks, onAddSink, onEditSink }: SinksListProps) => { + const pipeline = usePipeline(); + const currentSinkId = pipeline.data.sink?.id; + + return ( + + + + {sinks.map((sink) => ( + + ))} + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/sink-list/sink-list.module.scss b/application/ui/src/features/inspect/toolbar/sinks/sink-list/sink-list.module.scss new file mode 100644 index 0000000000..3d2a6bffc7 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/sink-list/sink-list.module.scss @@ -0,0 +1,28 @@ +.addSink { + width: 100%; + cursor: pointer; + display: flex; + border-style: dashed; + gap: var(--spectrum-global-dimension-size-65); + padding: var(--spectrum-global-dimension-size-250); +} + +.card { + padding: var(--spectrum-global-dimension-size-250); + background: var(--spectrum-global-color-gray-200); + border-radius: var(--spectrum-global-dimension-size-65); +} + +.activeCard { + border-left: var(--spectrum-global-dimension-size-50) solid var(--aqua); +} + +.title { + font-weight: 500; + text-transform: capitalize; + font-size: var(--spectrum-global-dimension-font-size-200); +} + +.type { + text-transform: capitalize; +} diff --git a/application/ui/src/features/inspect/toolbar/sinks/sink-list/sink-menu/sink-menu.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/sink-list/sink-menu/sink-menu.component.tsx new file mode 100644 index 0000000000..312b3a5baf --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/sink-list/sink-menu/sink-menu.component.tsx @@ -0,0 +1,97 @@ +import { $api } from '@geti-inspect/api'; +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { MoreMenu } from '@geti/ui/icons'; +import { ActionButton, Item, Key, Menu, MenuTrigger, toast } from 'packages/ui'; + +export interface SinkMenuProps { + id: string; + name: string; + isConnected: boolean; + onEdit: () => void; +} + +export const SinkMenu = ({ id, name, isConnected, onEdit }: SinkMenuProps) => { + const { projectId } = useProjectIdentifier(); + const removeSink = $api.useMutation('delete', '/api/projects/{project_id}/sinks/{sink_id}', { + meta: { + invalidates: [['get', '/api/projects/{project_id}/sinks', { params: { path: { project_id: projectId } } }]], + }, + }); + + const updatePipeline = $api.useMutation('patch', '/api/projects/{project_id}/pipeline', { + meta: { + invalidates: [ + ['get', '/api/projects/{project_id}/pipeline', { params: { path: { project_id: projectId } } }], + ], + }, + }); + + const handleOnAction = (option: Key) => { + switch (option) { + case 'connect': + handleConnect(); + break; + case 'remove': + handleDelete(); + break; + default: + onEdit(); + break; + } + }; + + const handleConnect = async () => { + try { + await updatePipeline.mutateAsync({ + params: { path: { project_id: projectId } }, + body: { sink_id: id }, + }); + + toast({ + type: 'success', + message: `Successfully connected to "${name}"`, + }); + } catch (_error) { + toast({ + type: 'error', + message: `Failed to connect to "${name}".`, + }); + } + }; + + const handleDelete = async () => { + try { + if (isConnected) { + await updatePipeline.mutateAsync({ + params: { path: { project_id: projectId } }, + body: { sink_id: null }, + }); + } + + await removeSink.mutateAsync({ params: { path: { sink_id: id, project_id: projectId } } }); + + toast({ + type: 'success', + message: `${name} has been removed successfully!`, + }); + } catch (_error) { + toast({ + type: 'error', + message: `Failed to remove "${name}".`, + }); + } + }; + + return ( + + + + + + Connect + Edit + Remove + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/sink-options.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/sink-options.component.tsx new file mode 100644 index 0000000000..204b385f74 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/sink-options.component.tsx @@ -0,0 +1,92 @@ +import { ReactNode } from 'react'; + +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { Folder as FolderIcon, Mqtt as MqttIcon, Ros as RosIcon, Webhook as WebhookIcon } from '@geti-inspect/icons'; + +import { DisclosureGroup } from '../../../../components/disclosure-group/disclosure-group.component'; +import { AddSink } from './add-sink/add-sink.component'; +import { LocalFolderFields } from './local-folder-fields/local-folder-fields.component'; +import { getLocalFolderInitialConfig, localFolderBodyFormatter } from './local-folder-fields/utils'; +import { MqttFields } from './mqtt-fields/mqtt-fields.component'; +import { getMqttInitialConfig, mqttBodyFormatter } from './mqtt-fields/utils'; +import { RosFields } from './ros-fields/ros-fields.component'; +import { getRosInitialConfig, rosBodyFormatter } from './ros-fields/utils'; +import { LocalFolderSinkConfig, MqttSinkConfig, RosSinkConfig, WebhookSinkConfig } from './utils'; +import { getWebhookInitialConfig, webhookBodyFormatter } from './webhook-fields/utils'; +import { WebhookFields } from './webhook-fields/webhook-fields.component'; + +interface SinkOptionsProps { + onSaved: () => void; + hasHeader: boolean; + children: ReactNode; +} + +export const SinkOptions = ({ hasHeader, onSaved, children }: SinkOptionsProps) => { + const { projectId } = useProjectIdentifier(); + + return ( + <> + {hasHeader && children} + + ( + + )} + bodyFormatter={localFolderBodyFormatter} + /> + ), + icon: , + }, + { + label: 'Webhook', + value: 'webhook', + content: ( + } + bodyFormatter={webhookBodyFormatter} + /> + ), + icon: , + }, + { + label: 'MQTT', + value: 'mqtt', + content: ( + } + bodyFormatter={mqttBodyFormatter} + /> + ), + icon: , + }, + { + label: 'Ros', + value: 'ros', + content: ( + } + bodyFormatter={rosBodyFormatter} + /> + ), + icon: , + }, + ]} + /> + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/utils.test.ts b/application/ui/src/features/inspect/toolbar/sinks/utils.test.ts new file mode 100644 index 0000000000..847bb290a8 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/utils.test.ts @@ -0,0 +1,45 @@ +import { getObjectFromFormData } from './utils'; + +describe('getObjectFromFormData', () => { + it('return an object mapping keys to values', () => { + const keys = ['a', 'b', 'c']; + const values = ['1', '2', '3']; + expect(getObjectFromFormData(keys, values)).toEqual({ a: '1', b: '2', c: '3' }); + }); + + it('skip entries with empty keys', () => { + const keys = ['', 'b', '']; + const values = ['1', '2', '3']; + expect(getObjectFromFormData(keys, values)).toEqual({ b: '2' }); + }); + + it('skip entries with empty values', () => { + const keys = ['a', 'b', 'c']; + const values = ['', '2', '']; + expect(getObjectFromFormData(keys, values)).toEqual({ b: '2' }); + }); + + it('return an empty object if all keys are empty', () => { + const keys = ['', '', '']; + const values = ['1', '2', '3']; + expect(getObjectFromFormData(keys, values)).toEqual({}); + }); + + it('return an empty object if all values are empty', () => { + const keys = ['a', 'b', 'c']; + const values = ['', '', '']; + expect(getObjectFromFormData(keys, values)).toEqual({}); + }); + + it('handle different lengths of keys and values', () => { + const keys = ['a', 'b']; + const values = ['1', '2', '3']; + expect(getObjectFromFormData(keys, values)).toEqual({ a: '1', b: '2' }); + }); + + it('handle keys and values with whitespace', () => { + const keys = [' ', 'b', 'c']; + const values = ['1', ' ', '3']; + expect(getObjectFromFormData(keys, values)).toEqual({ c: '3' }); + }); +}); diff --git a/application/ui/src/features/inspect/toolbar/sinks/utils.ts b/application/ui/src/features/inspect/toolbar/sinks/utils.ts new file mode 100644 index 0000000000..b5c8353268 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/utils.ts @@ -0,0 +1,47 @@ +import { isEmpty } from 'lodash-es'; +import { components } from 'src/api/openapi-spec'; + +export type LocalFolderSinkConfig = components['schemas']['FolderSinkConfig']; +export type MqttSinkConfig = components['schemas']['MqttSinkConfig']; +export type WebhookSinkConfig = components['schemas']['WebhookSinkConfig']; +export type RosSinkConfig = components['schemas']['RosSinkConfig']; +export type DisconnectedSinkConfig = components['schemas']['DisconnectedSinkConfig']; + +export type SinkOutputFormats = LocalFolderSinkConfig['output_formats']; + +export type SinkConfig = + | LocalFolderSinkConfig + | MqttSinkConfig + | WebhookSinkConfig + | RosSinkConfig + | DisconnectedSinkConfig; + +export enum SinkType { + FOLDER = 'folder', + MQTT = 'mqtt', + ROS = 'ros', + WEBHOOK = 'webhook', +} + +export enum OutputFormat { + IMAGE_ORIGINAL = 'image_original', + IMAGE_WITH_PREDICTIONS = 'image_with_predictions', + PREDICTIONS = 'predictions', +} + +export enum WebhookHttpMethod { + PUT = 'PUT', + POST = 'POST', + PATCH = 'PATCH', +} + +const toStringAndTrim = (value: unknown) => String(value).trim(); + +export const getObjectFromFormData = (keys: FormDataEntryValue[], values: FormDataEntryValue[]) => { + const entries = keys.map((key, index) => [key, values[index]]); + const validEntries = entries.filter( + ([key, value]) => !isEmpty(toStringAndTrim(key)) && !isEmpty(toStringAndTrim(value)) + ); + + return Object.fromEntries(validEntries); +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/webhook-fields/header-key-value-builder.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/webhook-fields/header-key-value-builder.component.tsx new file mode 100644 index 0000000000..0c69a7b920 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/webhook-fields/header-key-value-builder.component.tsx @@ -0,0 +1,94 @@ +import { Fragment, useState } from 'react'; + +import { ActionButton, Content, ContextualHelp, dimensionValue, Flex, Grid, Text } from '@geti/ui'; +import { Add, Delete } from '@geti/ui/icons'; +import { isEmpty } from 'lodash-es'; + +import { RequiredTextField } from '../../../../../components/required-text-field/required-text-field.component'; +import { Fields, getPairsFromObject, Pair } from './utils'; + +type HeaderKeyValueBuilderProps = { + title: string; + keysName: string; + valuesName: string; + config?: Record; +}; + +const updatePairAtIndex = (indexToUpdate: number, field: Fields, value: string) => (pair: Pair, index: number) => + index === indexToUpdate ? { ...pair, [field]: value } : pair; + +export const HeaderKeyValueBuilder = ({ title, keysName, valuesName, config = {} }: HeaderKeyValueBuilderProps) => { + const [pairs, setPairs] = useState(getPairsFromObject(config)); + + const addPair = () => { + setPairs([...pairs, { key: '', value: '' }]); + }; + + const updatePair = (indexToUpdate: number, field: Fields, value: string) => { + setPairs((prevValues) => prevValues.map(updatePairAtIndex(indexToUpdate, field, value))); + }; + + const removePair = (indexToRemove: number) => { + setPairs((prevValues) => prevValues.filter((_, index) => index !== indexToRemove)); + }; + + return ( + + + + + {title} + + + + + + Add as many key-value pairs as needed. Each pair will be included in the '{title} + ' object. + + + + + + + + + + + {pairs.map((pair, index) => ( + + updatePair(index, Fields.KEY, val)} + /> + updatePair(index, Fields.VALUE, val)} + /> + removePair(index)}> + + + + ))} + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sinks/webhook-fields/utils.ts b/application/ui/src/features/inspect/toolbar/sinks/webhook-fields/utils.ts new file mode 100644 index 0000000000..bea07cd1ca --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/webhook-fields/utils.ts @@ -0,0 +1,40 @@ +import { v4 as uuid } from 'uuid'; + +import { getObjectFromFormData, SinkOutputFormats, WebhookHttpMethod, WebhookSinkConfig } from '../utils'; + +export type Pair = Record; + +export enum Fields { + KEY = 'key', + VALUE = 'value', +} + +export const getPairsFromObject = (obj: Record): Pair[] => { + return Object.entries(obj).map(([key, value]) => ({ key, value })); +}; + +export const getWebhookInitialConfig = (project_id: string): WebhookSinkConfig => ({ + id: uuid(), + name: '', + timeout: 0, + project_id, + sink_type: 'webhook', + rate_limit: 0, + webhook_url: '', + http_method: WebhookHttpMethod.POST, + output_formats: [], + headers: {}, +}); + +export const webhookBodyFormatter = (formData: FormData): WebhookSinkConfig => ({ + id: String(formData.get('id')), + name: String(formData.get('name')), + headers: getObjectFromFormData(formData.getAll('headers-keys'), formData.getAll('headers-values')), + timeout: Number(formData.get('timeout')), + sink_type: 'webhook', + rate_limit: Number(formData.get('rate_limit')), + webhook_url: String(formData.get('webhook_url')), + http_method: formData.get('http_method') as WebhookHttpMethod, + output_formats: formData.getAll('output_formats') as SinkOutputFormats, + project_id: String(formData.get('project_id')), +}); diff --git a/application/ui/src/features/inspect/toolbar/sinks/webhook-fields/webhook-fields.component.tsx b/application/ui/src/features/inspect/toolbar/sinks/webhook-fields/webhook-fields.component.tsx new file mode 100644 index 0000000000..8f7323db7d --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sinks/webhook-fields/webhook-fields.component.tsx @@ -0,0 +1,49 @@ +import { Flex, Item, NumberField, Picker, TextField } from '@geti/ui'; + +import { OutputFormats } from '../output-formats/output-formats.component'; +import { WebhookHttpMethod, WebhookSinkConfig } from '../utils'; +import { HeaderKeyValueBuilder } from './header-key-value-builder.component'; + +interface WebhookFieldsProps { + defaultState: WebhookSinkConfig; +} + +export const WebhookFields = ({ defaultState }: WebhookFieldsProps) => { + return ( + + + + + + + + + + + {WebhookHttpMethod.POST} + {WebhookHttpMethod.PATCH} + {WebhookHttpMethod.PUT} + + + + + + + + + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sources/add-source/add-source.component.tsx b/application/ui/src/features/inspect/toolbar/sources/add-source/add-source.component.tsx new file mode 100644 index 0000000000..77483b5dd3 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/add-source/add-source.component.tsx @@ -0,0 +1,46 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { ReactNode } from 'react'; + +import { Button, Form } from '@geti/ui'; + +import { useConnectSourceToPipeline } from '../../../../../hooks/use-pipeline.hook'; +import { useSourceAction } from '../hooks/use-source-action.hook'; +import { SourceConfig } from '../util'; + +interface AddSourceProps { + config: Awaited; + onSaved: () => void; + componentFields: (state: Awaited) => ReactNode; + bodyFormatter: (formData: FormData) => T; +} + +export const AddSource = ({ + config, + onSaved, + bodyFormatter, + componentFields, +}: AddSourceProps) => { + const connectToPipelineMutation = useConnectSourceToPipeline(); + + const [state, submitAction, isPending] = useSourceAction({ + config, + isNewSource: true, + onSaved: async (sourceId) => { + await connectToPipelineMutation(sourceId); + onSaved(); + }, + bodyFormatter, + }); + + return ( +
    + <>{componentFields(state)} + + +
    + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sources/add-source/add-source.test.tsx b/application/ui/src/features/inspect/toolbar/sources/add-source/add-source.test.tsx new file mode 100644 index 0000000000..067e887b6d --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/add-source/add-source.test.tsx @@ -0,0 +1,66 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { render, screen, waitFor } from '@testing-library/react'; +import userEvent from '@testing-library/user-event'; +import { TestProviders } from 'src/providers'; + +import { useConnectSourceToPipeline } from '../../../../../hooks/use-pipeline.hook'; +import { useSourceMutation } from '../hooks/use-source-mutation.hook'; +import { IpCameraFields } from '../ip-camera/ip-camera-fields.component'; +import { getIpCameraInitialConfig, ipCameraBodyFormatter } from '../ip-camera/utils'; +import { IPCameraSourceConfig } from '../util'; +import { AddSource } from './add-source.component'; + +vi.mock('../hooks/use-source-mutation.hook'); +vi.mock('../../../../../hooks/use-pipeline.hook'); + +describe('add-source', () => { + beforeEach(() => { + vi.clearAllMocks(); + }); + + const newConfig = { + id: 'test-source-id', + name: 'Test Camera', + stream_url: 'rtsp://192.168.1.100:554/stream', + source_type: 'ip_camera', + auth_required: false, + project_id: '123', + }; + + it('calls connectToPipelineMutation after successful submit', async () => { + const mockOnSaved = vi.fn(); + const mockSourceMutation = vi.fn().mockResolvedValue(newConfig.id); + const mockConnectToPipeline = vi.fn().mockResolvedValue(undefined); + + vi.mocked(useConnectSourceToPipeline).mockReturnValue(mockConnectToPipeline); + vi.mocked(useSourceMutation).mockReturnValue(mockSourceMutation); + + render( + + } + bodyFormatter={ipCameraBodyFormatter} + /> + + ); + + const nameInput = screen.getByRole('textbox', { name: /Name/i }); + const streamUrlInput = screen.getByRole('textbox', { name: /Stream Url/i }); + + await userEvent.clear(nameInput); + await userEvent.type(nameInput, newConfig.name); + await userEvent.clear(streamUrlInput); + await userEvent.type(streamUrlInput, newConfig.stream_url); + await userEvent.click(screen.getByRole('button', { name: /Add & Connect/i })); + + await waitFor(() => { + expect(mockSourceMutation).toHaveBeenCalledWith(expect.objectContaining({ ...newConfig, id: '' })); + expect(mockConnectToPipeline).toHaveBeenCalledWith(newConfig.id); + expect(mockOnSaved).toHaveBeenCalled(); + }); + }); +}); diff --git a/application/ui/src/features/inspect/toolbar/sources/edit-source-form.component.tsx b/application/ui/src/features/inspect/toolbar/sources/edit-source-form.component.tsx new file mode 100644 index 0000000000..0dfcb1aa19 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/edit-source-form.component.tsx @@ -0,0 +1,64 @@ +import { EditSource } from './edit-source/edit-source.component'; +import { ImageFolderFields } from './image-folder/image-folder-fields.component'; +import { imageFolderBodyFormatter } from './image-folder/utils'; +import { IpCameraFields } from './ip-camera/ip-camera-fields.component'; +import { ipCameraBodyFormatter } from './ip-camera/utils'; +import { ImagesFolderSourceConfig, SourceConfig, VideoFileSourceConfig } from './util'; +import { videoFileBodyFormatter } from './video-file/utils'; +import { VideoFileFields } from './video-file/video-file-fields.component'; +import { webcamBodyFormatter } from './webcam/utils'; +import { WebcamFields } from './webcam/webcam-fields.component'; + +interface EditSourceFormProps { + config: SourceConfig; + onSaved: () => void; + onBackToList: () => void; +} + +export const EditSourceForm = ({ config, onSaved, onBackToList }: EditSourceFormProps) => { + if (config.source_type === 'webcam') { + return ( + } + bodyFormatter={webcamBodyFormatter} + /> + ); + } + + if (config.source_type === 'ip_camera') { + return ( + } + bodyFormatter={ipCameraBodyFormatter} + /> + ); + } + + if (config.source_type === 'video_file') { + return ( + } + bodyFormatter={videoFileBodyFormatter} + /> + ); + } + + return ( + } + bodyFormatter={imageFolderBodyFormatter} + /> + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sources/edit-source/edit-source.component.tsx b/application/ui/src/features/inspect/toolbar/sources/edit-source/edit-source.component.tsx new file mode 100644 index 0000000000..aa7c586a81 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/edit-source/edit-source.component.tsx @@ -0,0 +1,80 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { ReactNode, useRef } from 'react'; + +import { ActionButton, Button, ButtonGroup, Divider, Flex, Form, Text, View } from '@geti/ui'; +import { Back } from '@geti/ui/icons'; + +import { useConnectSourceToPipeline } from '../../../../../hooks/use-pipeline.hook'; +import { useSourceAction } from '../hooks/use-source-action.hook'; +import { SourceConfig } from '../util'; + +import classes from './edit-source.module.scss'; + +interface EditSourceProps { + config: Awaited; + onSaved: () => void; + onBackToList: () => void; + componentFields: (state: Awaited) => ReactNode; + bodyFormatter: (formData: FormData) => T; +} + +export const EditSource = ({ + config, + onSaved, + onBackToList, + bodyFormatter, + componentFields, +}: EditSourceProps) => { + const connectToPipeline = useRef(false); + const connectToPipelineMutation = useConnectSourceToPipeline(); + + const [state, submitAction, isPending] = useSourceAction({ + config, + isNewSource: false, + onSaved: async (sourceId) => { + connectToPipeline.current && (await connectToPipelineMutation(sourceId)); + connectToPipeline.current = false; + onSaved(); + }, + bodyFormatter, + }); + + return ( +
    + + + + + + Edit input source + + + + <>{componentFields(state)} + + + + + + + + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sources/edit-source/edit-source.module.scss b/application/ui/src/features/inspect/toolbar/sources/edit-source/edit-source.module.scss new file mode 100644 index 0000000000..8aeb44db95 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/edit-source/edit-source.module.scss @@ -0,0 +1,6 @@ +.container { + background: #2e2f32; + border: 1px solid var(--background-inverse); + border-radius: var(--spectrum-global-dimension-size-100); + padding: var(--spectrum-global-dimension-size-200); +} diff --git a/application/ui/src/features/inspect/toolbar/sources/edit-source/edit-source.test.tsx b/application/ui/src/features/inspect/toolbar/sources/edit-source/edit-source.test.tsx new file mode 100644 index 0000000000..7b08a2e308 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/edit-source/edit-source.test.tsx @@ -0,0 +1,97 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { render, screen, waitFor } from '@testing-library/react'; +import userEvent from '@testing-library/user-event'; +import { TestProviders } from 'src/providers'; + +import { useConnectSourceToPipeline } from '../../../../../hooks/use-pipeline.hook'; +import { useSourceMutation } from '../hooks/use-source-mutation.hook'; +import { IpCameraFields } from '../ip-camera/ip-camera-fields.component'; +import { getIpCameraInitialConfig, ipCameraBodyFormatter } from '../ip-camera/utils'; +import { IPCameraSourceConfig } from '../util'; +import { EditSource } from './edit-source.component'; + +vi.mock('../hooks/use-source-mutation.hook'); +vi.mock('../../../../../hooks/use-pipeline.hook'); + +describe('EditIpCamera', () => { + beforeEach(() => { + vi.clearAllMocks(); + }); + + const updatedConfig: IPCameraSourceConfig = { + id: 'existing-source-id', + name: 'Updated Camera', + project_id: '123', + stream_url: 'rtsp://192.168.1.201:554/stream', + source_type: 'ip_camera', + auth_required: true, + }; + + const renderApp = (mockOnSaved = vi.fn()) => { + render( + + } + bodyFormatter={ipCameraBodyFormatter} + /> + + ); + }; + + it('calls connectToPipelineMutation after successful "Save & Connect" submit', async () => { + const mockOnSaved = vi.fn(); + const mockSourceMutation = vi.fn().mockResolvedValue(updatedConfig.id); + const mockConnectToPipeline = vi.fn().mockResolvedValue(undefined); + + vi.mocked(useConnectSourceToPipeline).mockReturnValue(mockConnectToPipeline); + vi.mocked(useSourceMutation).mockReturnValue(mockSourceMutation); + + renderApp(mockOnSaved); + + const nameInput = screen.getByRole('textbox', { name: /Name/i }); + const streamUrlInput = screen.getByRole('textbox', { name: /Stream Url/i }); + + await userEvent.clear(nameInput); + await userEvent.type(nameInput, updatedConfig.name); + await userEvent.clear(streamUrlInput); + await userEvent.type(streamUrlInput, updatedConfig.stream_url); + await userEvent.click(screen.getByRole('button', { name: /Save & Connect/i })); + + await waitFor(() => { + expect(mockOnSaved).toHaveBeenCalled(); + expect(mockSourceMutation).toHaveBeenCalled(); + expect(mockConnectToPipeline).toHaveBeenCalledWith(updatedConfig.id); + }); + }); + + it('does not call connectToPipelineMutation after successful "Save" submit', async () => { + const mockOnSaved = vi.fn(); + const mockSourceMutation = vi.fn().mockResolvedValue(updatedConfig.id); + const mockConnectToPipeline = vi.fn().mockResolvedValue(undefined); + + vi.mocked(useConnectSourceToPipeline).mockReturnValue(mockConnectToPipeline); + vi.mocked(useSourceMutation).mockReturnValue(mockSourceMutation); + + renderApp(mockOnSaved); + + const nameInput = screen.getByRole('textbox', { name: /Name/i }); + const streamUrlInput = screen.getByRole('textbox', { name: /Stream Url/i }); + + await userEvent.clear(nameInput); + await userEvent.type(nameInput, updatedConfig.name); + await userEvent.clear(streamUrlInput); + await userEvent.type(streamUrlInput, updatedConfig.stream_url); + await userEvent.click(screen.getByRole('button', { name: /^Save$/i })); + + await waitFor(() => { + expect(mockOnSaved).toHaveBeenCalled(); + expect(mockSourceMutation).toHaveBeenCalled(); + expect(mockConnectToPipeline).not.toHaveBeenCalled(); + }); + }); +}); diff --git a/application/ui/src/features/inspect/toolbar/sources/hooks/use-source-action.hook.tsx b/application/ui/src/features/inspect/toolbar/sources/hooks/use-source-action.hook.tsx new file mode 100644 index 0000000000..5202ddf4b3 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/hooks/use-source-action.hook.tsx @@ -0,0 +1,51 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { useActionState } from 'react'; + +import { toast } from '@geti/ui'; +import { isFunction } from 'lodash-es'; + +import { SourceConfig } from '../util'; +import { useSourceMutation } from './use-source-mutation.hook'; + +interface useSourceActionProps { + config: Awaited; + isNewSource: boolean; + onSaved?: (source_id: string) => void; + bodyFormatter: (formData: FormData) => T; +} + +export const useSourceAction = ({ + config, + isNewSource, + onSaved, + bodyFormatter, +}: useSourceActionProps) => { + const addOrUpdateSource = useSourceMutation(isNewSource); + + return useActionState(async (_prevState: T, formData: FormData) => { + const body = bodyFormatter(formData); + + try { + const source_id = await addOrUpdateSource(body); + + toast({ + type: 'success', + message: `Source configuration ${isNewSource ? 'created' : 'updated'} successfully.`, + }); + + isFunction(onSaved) && onSaved(source_id); + return { ...body, id: source_id }; + } catch (error: unknown) { + const details = (error as { detail?: string })?.detail; + + toast({ + type: 'error', + message: `Failed to save source configuration, ${details ?? 'please try again'}`, + }); + } + + return body; + }, config); +}; diff --git a/application/ui/src/features/inspect/toolbar/sources/hooks/use-source-mutation.hook.tsx b/application/ui/src/features/inspect/toolbar/sources/hooks/use-source-mutation.hook.tsx new file mode 100644 index 0000000000..0cd40e2889 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/hooks/use-source-mutation.hook.tsx @@ -0,0 +1,49 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { $api } from '@geti-inspect/api'; +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { omit } from 'lodash-es'; + +import { SourceConfig } from '../util'; + +export const useSourceMutation = (isNewSource: boolean) => { + const { projectId } = useProjectIdentifier(); + const addSource = $api.useMutation('post', '/api/projects/{project_id}/sources', { + meta: { + invalidates: [ + ['get', '/api/projects/{project_id}/sources', { params: { path: { project_id: projectId } } }], + ], + }, + }); + const updateSource = $api.useMutation('patch', '/api/projects/{project_id}/sources/{source_id}', { + meta: { + invalidates: [ + ['get', '/api/projects/{project_id}/sources', { params: { path: { project_id: projectId } } }], + ], + }, + }); + + return async (body: SourceConfig) => { + if (isNewSource) { + // Omit id and project_id when creating - they're auto-generated/injected from URL + const sourcePayload = omit(body, ['id', 'project_id']) as Parameters< + typeof addSource.mutateAsync + >[0]['body']; + + const response = await addSource.mutateAsync({ + body: sourcePayload, + params: { path: { project_id: projectId } }, + }); + + return String(response.id); + } + + const response = await updateSource.mutateAsync({ + params: { path: { project_id: projectId, source_id: String(body.id) } }, + body: omit(body, 'source_type'), + }); + + return String(response.id); + }; +}; diff --git a/application/ui/src/features/inspect/toolbar/sources/hooks/use-source-mutation.test.tsx b/application/ui/src/features/inspect/toolbar/sources/hooks/use-source-mutation.test.tsx new file mode 100644 index 0000000000..66caf3d0f5 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/hooks/use-source-mutation.test.tsx @@ -0,0 +1,62 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { act, renderHook } from '@testing-library/react'; +import { HttpResponse } from 'msw'; +import { http } from 'src/api/utils'; +import { server } from 'src/msw-node-setup'; +import { TestProviders } from 'src/providers'; + +import { WebcamSourceConfig } from '../util'; +import { useSourceMutation } from './use-source-mutation.hook'; + +const mockedSource: WebcamSourceConfig = { + id: 'original-id', + project_id: '123', + name: 'Mock Source', + source_type: 'webcam' as const, + device_id: 0, +}; + +vi.mock('@geti-inspect/hooks', () => ({ useProjectIdentifier: () => ({ projectId: 'project-id-123' }) })); + +describe('useSourceMutation', () => { + beforeEach(() => { + vi.clearAllMocks(); + }); + + it('creates a new source and return its resource id', async () => { + const { result } = renderHook(() => useSourceMutation(true), { + wrapper: TestProviders, + }); + + const createdSource = { ...mockedSource, id: 'created-id' }; + server.use( + http.post('/api/projects/{project_id}/sources', async () => { + return HttpResponse.json(createdSource); + }), + http.patch('/api/projects/{project_id}/sources/{source_id}', () => HttpResponse.error()) + ); + + await act(async () => { + const response = await result.current(mockedSource); + expect(response).toBe(createdSource.id); + }); + }); + + it('update a source item and returns its resource id', async () => { + const { result } = renderHook(() => useSourceMutation(false), { + wrapper: TestProviders, + }); + + server.use( + http.post('/api/projects/{project_id}/sources', () => HttpResponse.error()), + http.patch('/api/projects/{project_id}/sources/{source_id}', () => HttpResponse.json(mockedSource)) + ); + + await act(async () => { + const response = await result.current(mockedSource); + expect(response).toBe(mockedSource.id); + }); + }); +}); diff --git a/application/ui/src/features/inspect/toolbar/sources/image-folder/image-folder-fields.component.tsx b/application/ui/src/features/inspect/toolbar/sources/image-folder/image-folder-fields.component.tsx new file mode 100644 index 0000000000..560897eb51 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/image-folder/image-folder-fields.component.tsx @@ -0,0 +1,51 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { Folder } from '@geti-inspect/icons'; +import { Flex, Switch, TextField } from '@geti/ui'; + +import { ImagesFolderSourceConfig } from '../util'; + +import classes from './image-folder-fields.module.scss'; + +type ImageFolderFieldsProps = { + defaultState: ImagesFolderSourceConfig; +}; + +export const ImageFolderFields = ({ defaultState }: ImageFolderFieldsProps) => { + return ( + + + + + + + + + + + + + + + Ignore existing images + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sources/image-folder/image-folder-fields.module.scss b/application/ui/src/features/inspect/toolbar/sources/image-folder/image-folder-fields.module.scss new file mode 100644 index 0000000000..3416b14778 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/image-folder/image-folder-fields.module.scss @@ -0,0 +1,15 @@ +.folderIcon { + width: var(--spectrum-global-dimension-size-400); + min-width: auto; + border-radius: 4px; + padding: 0px; + background-color: var(--spectrum-accent-background-color-default); + + svg { + stroke: var(--spectrum-global-color-gray-50); + } + + &:hover { + background-color: var(--spectrum-accent-background-color-hover); + } +} diff --git a/application/ui/src/features/inspect/toolbar/sources/image-folder/utils.ts b/application/ui/src/features/inspect/toolbar/sources/image-folder/utils.ts new file mode 100644 index 0000000000..2e963ee85b --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/image-folder/utils.ts @@ -0,0 +1,19 @@ +import { ImagesFolderSourceConfig } from '../util'; + +export const getImageFolderInitialConfig = (projectId: string): ImagesFolderSourceConfig => ({ + id: '', + name: '', + project_id: projectId, + source_type: 'images_folder', + images_folder_path: '', + ignore_existing_images: false, +}); + +export const imageFolderBodyFormatter = (formData: FormData): ImagesFolderSourceConfig => ({ + id: String(formData.get('id')), + name: String(formData.get('name')), + source_type: 'images_folder', + project_id: String(formData.get('project_id')), + images_folder_path: String(formData.get('images_folder_path')), + ignore_existing_images: formData.get('ignore_existing_images') === 'on', +}); diff --git a/application/ui/src/features/inspect/toolbar/sources/ip-camera/ip-camera-fields.component.tsx b/application/ui/src/features/inspect/toolbar/sources/ip-camera/ip-camera-fields.component.tsx new file mode 100644 index 0000000000..f4e6056847 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/ip-camera/ip-camera-fields.component.tsx @@ -0,0 +1,29 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { Flex, Switch, TextField } from '@geti/ui'; + +import { IPCameraSourceConfig } from '../util'; + +type IpCameraFieldsProps = { + defaultState: IPCameraSourceConfig; +}; + +export const IpCameraFields = ({ defaultState }: IpCameraFieldsProps) => { + return ( + + + + + + + Require Authentication + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sources/ip-camera/utils.ts b/application/ui/src/features/inspect/toolbar/sources/ip-camera/utils.ts new file mode 100644 index 0000000000..be2baf13ac --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/ip-camera/utils.ts @@ -0,0 +1,19 @@ +import { IPCameraSourceConfig } from '../util'; + +export const getIpCameraInitialConfig = (projectId: string): IPCameraSourceConfig => ({ + id: '', + name: '', + project_id: projectId, + source_type: 'ip_camera', + stream_url: '', + auth_required: false, +}); + +export const ipCameraBodyFormatter = (formData: FormData): IPCameraSourceConfig => ({ + id: String(formData.get('id')), + name: String(formData.get('name')), + source_type: 'ip_camera', + project_id: String(formData.get('project_id')), + stream_url: String(formData.get('stream_url')), + auth_required: String(formData.get('auth_required')) === 'on', +}); diff --git a/application/ui/src/features/inspect/toolbar/sources/source-actions.component.tsx b/application/ui/src/features/inspect/toolbar/sources/source-actions.component.tsx new file mode 100644 index 0000000000..6b7ba51b16 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/source-actions.component.tsx @@ -0,0 +1,59 @@ +// Copyright (C) 2025 Intel Corporation +// SPDX-License-Identifier: Apache-2.0 + +import { useState } from 'react'; + +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { ActionButton, Flex, Text } from '@geti/ui'; +import { Back } from '@geti/ui/icons'; +import { isEmpty } from 'lodash-es'; + +import { $api } from '../../../../api/client'; +import { EditSourceForm } from './edit-source-form.component'; +import { SourcesList } from './source-list/source-list.component'; +import { SourceOptions } from './source-options.component'; +import { SourceConfig } from './util'; + +export const SourceActions = () => { + const { projectId } = useProjectIdentifier(); + const sourcesQuery = $api.useSuspenseQuery('get', '/api/projects/{project_id}/sources', { + params: { path: { project_id: projectId } }, + }); + + const sources = sourcesQuery.data ?? []; + const [view, setView] = useState<'list' | 'options' | 'edit'>(isEmpty(sources) ? 'options' : 'list'); + const [currentSource, setCurrentSource] = useState(null); + + const handleShowList = () => { + setView('list'); + }; + + const handleAddSource = () => { + setView('options'); + }; + + const handleEditSource = (source: SourceConfig) => { + setView('edit'); + setCurrentSource(source); + }; + + if (view === 'edit' && !isEmpty(currentSource)) { + return ; + } + + if (view === 'list') { + return ; + } + + return ( + 0}> + + + + + + Add new input source + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sources/source-list/settings-list/settings-list.component.tsx b/application/ui/src/features/inspect/toolbar/sources/source-list/settings-list/settings-list.component.tsx new file mode 100644 index 0000000000..8dfc1d8a30 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/source-list/settings-list/settings-list.component.tsx @@ -0,0 +1,45 @@ +import { SourceConfig } from '../../util'; + +import classes from './settings-list.module.scss'; + +interface SettingsListProps { + source: SourceConfig; +} + +export const SettingsList = ({ source }: SettingsListProps) => { + if (source.source_type === 'images_folder') { + return ( +
      +
    • Folder path: {source.images_folder_path}
      • +
    • Ignore existing images: {source.ignore_existing_images ? 'Yes' : 'No'}
      • +
    + ); + } + + if (source.source_type === 'ip_camera') { + return ( +
      +
    • Stream url: {source.stream_url}
      • +
    • Auth required: {source.auth_required ? 'Yes' : 'No'}
      • +
    + ); + } + + if (source.source_type === 'video_file') { + return ( +
      +
    • Video path: {source.video_path}
      • +
    + ); + } + + if (source.source_type === 'webcam') { + return ( +
      +
    • Device id: {source.device_id}
      • +
    + ); + } + + return <>; +}; diff --git a/application/ui/src/features/inspect/toolbar/sources/source-list/settings-list/settings-list.module.scss b/application/ui/src/features/inspect/toolbar/sources/source-list/settings-list/settings-list.module.scss new file mode 100644 index 0000000000..db3eabfad5 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/source-list/settings-list/settings-list.module.scss @@ -0,0 +1,4 @@ +.list { + margin-left: var(--spectrum-global-dimension-font-size-200); + list-style-type: disc; +} diff --git a/application/ui/src/features/inspect/toolbar/sources/source-list/source-icon/source-icon.component.tsx b/application/ui/src/features/inspect/toolbar/sources/source-list/source-icon/source-icon.component.tsx new file mode 100644 index 0000000000..abbb3dd21b --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/source-list/source-icon/source-icon.component.tsx @@ -0,0 +1,21 @@ +import { ImagesFolder, IpCamera, VideoFile, Webcam } from '@geti-inspect/icons'; + +interface SourceIconProps { + type: string; +} + +export const SourceIcon = ({ type }: SourceIconProps) => { + if (type === 'webcam') { + return ; + } + + if (type === 'ip_camera') { + return ; + } + + if (type === 'video_file') { + return ; + } + + return ; +}; diff --git a/application/ui/src/features/inspect/toolbar/sources/source-list/source-list.component.tsx b/application/ui/src/features/inspect/toolbar/sources/source-list/source-list.component.tsx new file mode 100644 index 0000000000..c6f818b797 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/source-list/source-list.component.tsx @@ -0,0 +1,84 @@ +import { Add as AddIcon } from '@geti/ui/icons'; +import { clsx } from 'clsx'; +import { isEqual } from 'lodash-es'; +import { Button, Flex, Text } from 'packages/ui'; + +import { StatusTag } from '../../../../../components/status-tag/status-tag.component'; +import { usePipeline } from '../../../../../hooks/use-pipeline.hook'; +import { removeUnderscore } from '../../../utils'; +import { SourceMenu } from '../source-menu/source-menu.component'; +import { SourceConfig } from '../util'; +import { SettingsList } from './settings-list/settings-list.component'; +import { SourceIcon } from './source-icon/source-icon.component'; + +import classes from './source-list.module.scss'; + +type SourcesListProps = { + sources: SourceConfig[]; + onAddSource: () => void; + onEditSource: (config: SourceConfig) => void; +}; + +type SourceListItemProps = { + source: SourceConfig; + isConnected: boolean; + onEditSource: (config: SourceConfig) => void; +}; + +const SourceListItem = ({ source, isConnected, onEditSource }: SourceListItemProps) => { + return ( + + + + + + {source.name} + + {removeUnderscore(source.source_type)} + + + + + + + + + onEditSource(source)} + /> + + + ); +}; + +export const SourcesList = ({ sources, onAddSource, onEditSource }: SourcesListProps) => { + const pipeline = usePipeline(); + const currentSourceId = pipeline.data.source?.id; + + return ( + + + + {sources.map((source) => ( + + ))} + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sources/source-list/source-list.module.scss b/application/ui/src/features/inspect/toolbar/sources/source-list/source-list.module.scss new file mode 100644 index 0000000000..df9e07479a --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/source-list/source-list.module.scss @@ -0,0 +1,28 @@ +.addSource { + width: 100%; + cursor: pointer; + display: flex; + border-style: dashed; + gap: var(--spectrum-global-dimension-size-65); + padding: var(--spectrum-global-dimension-size-250); +} + +.card { + padding: var(--spectrum-global-dimension-size-250); + background: var(--spectrum-global-color-gray-200); + border-radius: var(--spectrum-global-dimension-size-65); +} + +.activeCard { + border-left: var(--spectrum-global-dimension-size-50) solid var(--aqua); +} + +.title { + font-weight: 500; + text-transform: capitalize; + font-size: var(--spectrum-global-dimension-font-size-200); +} + +.type { + text-transform: capitalize; +} diff --git a/application/ui/src/features/inspect/toolbar/sources/source-menu/source-menu.component.tsx b/application/ui/src/features/inspect/toolbar/sources/source-menu/source-menu.component.tsx new file mode 100644 index 0000000000..ae846e763f --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/source-menu/source-menu.component.tsx @@ -0,0 +1,101 @@ +import { $api } from '@geti-inspect/api'; +import { useProjectIdentifier } from '@geti-inspect/hooks'; +import { MoreMenu } from '@geti/ui/icons'; +import { ActionButton, Item, Key, Menu, MenuTrigger, toast } from 'packages/ui'; + +export interface SourceMenuProps { + id: string; + name: string; + isConnected: boolean; + onEdit: () => void; +} + +export const SourceMenu = ({ id, name, isConnected, onEdit }: SourceMenuProps) => { + const { projectId } = useProjectIdentifier(); + + const handleOnAction = (option: Key) => { + switch (option) { + case 'connect': + handleConnect(); + break; + case 'remove': + handleDelete(); + break; + default: + onEdit(); + break; + } + }; + + const updatePipeline = $api.useMutation('patch', '/api/projects/{project_id}/pipeline', { + meta: { + invalidates: [ + ['get', '/api/projects/{project_id}/sources', { params: { path: { project_id: projectId } } }], + ['get', '/api/projects/{project_id}/pipeline', { params: { path: { project_id: projectId } } }], + ], + }, + }); + + const handleConnect = async () => { + try { + await updatePipeline.mutateAsync({ + params: { path: { project_id: projectId } }, + body: { source_id: id }, + }); + + toast({ + type: 'success', + message: `Successfully connected to "${name}"`, + }); + } catch (_error) { + toast({ + type: 'error', + message: `Failed to connect to "${name}".`, + }); + } + }; + + const removeSource = $api.useMutation('delete', '/api/projects/{project_id}/sources/{source_id}', { + meta: { + invalidates: [ + ['get', '/api/projects/{project_id}/sources', { params: { path: { project_id: projectId } } }], + ], + }, + }); + + const handleDelete = async () => { + try { + if (isConnected) { + await updatePipeline.mutateAsync({ + params: { path: { project_id: projectId } }, + body: { source_id: null }, + }); + } + + await removeSource.mutateAsync({ params: { path: { project_id: projectId, source_id: id } } }); + + toast({ + type: 'success', + message: `${name} has been removed successfully!`, + }); + } catch (_error) { + toast({ + type: 'error', + message: `Failed to remove "${name}".`, + }); + } + }; + + return ( + + + + + + Connect + Edit + Remove + + + ); +}; diff --git a/application/ui/src/features/inspect/toolbar/sources/source-menu/source-menu.test.tsx b/application/ui/src/features/inspect/toolbar/sources/source-menu/source-menu.test.tsx new file mode 100644 index 0000000000..ad316bb89e --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/source-menu/source-menu.test.tsx @@ -0,0 +1,126 @@ +import { render, screen } from '@testing-library/react'; +import userEvent from '@testing-library/user-event'; +import { HttpResponse } from 'msw'; +import { http } from 'src/api/utils'; +import { server } from 'src/msw-node-setup'; +import { TestProviders } from 'src/providers'; + +import { SourceMenu, SourceMenuProps } from './source-menu.component'; + +vi.mock('@geti-inspect/hooks', () => ({ useProjectIdentifier: () => ({ projectId: '123' }) })); + +describe('SourceMenu', () => { + const renderApp = ({ + id = 'id-test', + name = 'name test', + isConnected = false, + onEdit = vi.fn(), + }: Partial) => { + render( + + + + ); + }; + + it('edit', async () => { + const mockedOnEdit = vi.fn(); + + renderApp({ onEdit: mockedOnEdit }); + + await userEvent.click(screen.getByRole('button', { name: /source menu/i })); + await userEvent.click(screen.getByRole('menuitem', { name: /Edit/i })); + + expect(mockedOnEdit).toHaveBeenCalled(); + }); + + describe('remove', () => { + const name = 'test-name'; + const configRequests = (status = 200) => { + const pipelinePatchSpy = vi.fn(); + + server.use( + http.patch('/api/projects/{project_id}/pipeline', () => { + pipelinePatchSpy(); + return HttpResponse.json({}, { status }); + }), + http.delete('/api/projects/{project_id}/sources/{source_id}', () => + HttpResponse.json(null, { status: 204 }) + ) + ); + + return pipelinePatchSpy; + }; + + it('success', async () => { + const pipelinePatchSpy = configRequests(); + + renderApp({ name, isConnected: false }); + + await userEvent.click(screen.getByRole('button', { name: /source menu/i })); + await userEvent.click(screen.getByRole('menuitem', { name: /Remove/i })); + + await expect(await screen.findByLabelText('toast')).toHaveTextContent( + `${name} has been removed successfully!` + ); + expect(pipelinePatchSpy).not.toHaveBeenCalled(); + }); + + it('success with isConnected true - calls pipeline patch', async () => { + const pipelinePatchSpy = configRequests(); + + renderApp({ name, isConnected: true }); + + await userEvent.click(screen.getByRole('button', { name: /source menu/i })); + await userEvent.click(screen.getByRole('menuitem', { name: /Remove/i })); + + await expect(await screen.findByLabelText('toast')).toHaveTextContent( + `${name} has been removed successfully!` + ); + + expect(pipelinePatchSpy).toHaveBeenCalled(); + }); + + it('error', async () => { + configRequests(500); + + renderApp({ name, isConnected: true }); + + await userEvent.click(screen.getByRole('button', { name: /source menu/i })); + await userEvent.click(screen.getByRole('menuitem', { name: /Remove/i })); + + expect(await screen.findByLabelText('toast')).toHaveTextContent(`Failed to remove "${name}".`); + }); + }); + + describe('connect', () => { + const name = 'test-name'; + const configRequests = (status = 200) => { + server.use(http.patch('/api/projects/{project_id}/pipeline', () => HttpResponse.json({}, { status }))); + }; + + it('success', async () => { + configRequests(); + + renderApp({ name }); + + await userEvent.click(screen.getByRole('button', { name: /source menu/i })); + await userEvent.click(screen.getByRole('menuitem', { name: /Connect/i })); + + await expect(await screen.findByLabelText('toast')).toHaveTextContent( + `Successfully connected to "${name}"` + ); + }); + + it('error', async () => { + configRequests(500); + + renderApp({ name }); + + await userEvent.click(screen.getByRole('button', { name: /source menu/i })); + await userEvent.click(screen.getByRole('menuitem', { name: /Connect/i })); + + await expect(await screen.findByLabelText('toast')).toHaveTextContent(`Failed to connect to "${name}"`); + }); + }); +}); diff --git a/application/ui/src/features/inspect/toolbar/sources/source-options.component.tsx b/application/ui/src/features/inspect/toolbar/sources/source-options.component.tsx new file mode 100644 index 0000000000..db842a3972 --- /dev/null +++ b/application/ui/src/features/inspect/toolbar/sources/source-options.component.tsx @@ -0,0 +1,97 @@ +import { ReactNode } from 'react'; + +import { useProjectIdentifier } from '@geti-inspect/hooks'; + +import { ReactComponent as IpCameraIcon } from '../../../../assets/icons/ip-camera.svg'; +import { ReactComponent as Video } from '../../../../assets/icons/video-file.svg'; +import { ReactComponent as WebcamIcon } from '../../../../assets/icons/webcam.svg'; +import { DisclosureGroup } from '../../../../components/disclosure-group/disclosure-group.component'; +import { AddSource } from './add-source/add-source.component'; +import { IpCameraFields } from './ip-camera/ip-camera-fields.component'; +import { getIpCameraInitialConfig, ipCameraBodyFormatter } from './ip-camera/utils'; +import { IPCameraSourceConfig, VideoFileSourceConfig, WebcamSourceConfig } from './util'; +import { getVideoFileInitialConfig, videoFileBodyFormatter } from './video-file/utils'; +import { VideoFileFields } from './video-file/video-file-fields.component'; +import { getWebcamInitialConfig, webcamBodyFormatter } from './webcam/utils'; +import { WebcamFields } from './webcam/webcam-fields.component'; + +interface SourceOptionsProps { + onSaved: () => void; + hasHeader: boolean; + children: ReactNode; +} + +export const SourceOptions = ({ hasHeader, children, onSaved }: SourceOptionsProps) => { + const { projectId } = useProjectIdentifier(); + + return ( + <> + {hasHeader && children} + + , + content: ( + } + bodyFormatter={webcamBodyFormatter} + /> + ), + }, + { + label: 'IP Camera', + value: 'ip_camera', + icon: , + content: ( + ( + + )} + bodyFormatter={ipCameraBodyFormatter} + /> + ), + }, + { + label: 'Video file', + value: 'video_file', + icon: