Merge pull request #260 from Fanlu91/fix_fetchChatAPI

fix: remove unused fetchChatAPI

Author: Kerwin1202

service/src/chatgpt/index.ts

@@ -49,31 +49,32 @@ export async function initApi(key: KeyConfig, chatModel: CHATMODEL) {
       messageStore: undefined,
       getMessageById,
     }
-		
-		// Set the token limits based on the model's type. This is because different models have different token limits. 
-		// The token limit includes the token count from both the message array sent and the model response.
-		// 'gpt-35-turbo' has a limit of 4096 tokens, 'gpt-4' and 'gpt-4-32k' have limits of 8192 and 32768 tokens respectively.
-
-		// Check if the model type includes '16k'
-		if (model.toLowerCase().includes('16k')) {
-				// If it's a '16k' model, set the maxModelTokens to 16384 and maxResponseTokens to 4096
-				options.maxModelTokens = 16384;
-				options.maxResponseTokens = 4096;
-		} else if (model.toLowerCase().includes('32k')) {
-				// If it's a '32k' model, set the maxModelTokens to 32768 and maxResponseTokens to 8192
-				options.maxModelTokens = 32768;
-				options.maxResponseTokens = 8192;
-		} else  if (model.toLowerCase().includes('gpt-4')) {
-				// If it's a 'gpt-4' model, set the maxModelTokens and maxResponseTokens to 8192 and 2048 respectively
-				options.maxModelTokens = 8192;
-				options.maxResponseTokens = 2048;
-		} else {
-				// If none of the above, use the default values, set the maxModelTokens and maxResponseTokens to 8192 and 2048 respectively
-				options.maxModelTokens = 4096;
-				options.maxResponseTokens = 1024;
-		}
 
+    // Set the token limits based on the model's type. This is because different models have different token limits.
+    // The token limit includes the token count from both the message array sent and the model response.
+    // 'gpt-35-turbo' has a limit of 4096 tokens, 'gpt-4' and 'gpt-4-32k' have limits of 8192 and 32768 tokens respectively.
 
+    // Check if the model type includes '16k'
+    if (model.toLowerCase().includes('16k')) {
+      // If it's a '16k' model, set the maxModelTokens to 16384 and maxResponseTokens to 4096
+      options.maxModelTokens = 16384
+      options.maxResponseTokens = 4096
+    }
+    else if (model.toLowerCase().includes('32k')) {
+      // If it's a '32k' model, set the maxModelTokens to 32768 and maxResponseTokens to 8192
+      options.maxModelTokens = 32768
+      options.maxResponseTokens = 8192
+    }
+    else if (model.toLowerCase().includes('gpt-4')) {
+      // If it's a 'gpt-4' model, set the maxModelTokens and maxResponseTokens to 8192 and 2048 respectively
+      options.maxModelTokens = 8192
+      options.maxResponseTokens = 2048
+    }
+    else {
+      // If none of the above, use the default values, set the maxModelTokens and maxResponseTokens to 8192 and 2048 respectively
+      options.maxModelTokens = 4096
+      options.maxResponseTokens = 1024
+    }
 
     if (isNotEmptyString(OPENAI_API_BASE_URL))
       options.apiBaseUrl = `${OPENAI_API_BASE_URL}/v1`
@@ -262,12 +263,21 @@ async function fetchBalance() {
       console.error('您的账户已被封禁，请登录OpenAI进行查看。')
       return
     }
-    const subscriptionData = await response.json()
+    interface SubscriptionData {
+      hard_limit_usd?: number
+      // 这里可以添加其他可能的属性
+    }
+    const subscriptionData: SubscriptionData = await response.json()
     const totalAmount = subscriptionData.hard_limit_usd
 
+    interface UsageData {
+      total_usage?: number
+      // 这里可以添加其他可能的属性
+    }
+
     // 获取已使用量
     response = await fetch(urlUsage, { agent: socksAgent === undefined ? httpsAgent : socksAgent, headers })
-    const usageData = await response.json()
+    const usageData: UsageData = await response.json()
     const totalUsage = usageData.total_usage / 100
 
     // 计算剩余额度

service/src/index.ts

@@ -3,7 +3,7 @@ import jwt from 'jsonwebtoken'
 import * as dotenv from 'dotenv'
 import { ObjectId } from 'mongodb'
 import type { RequestProps } from './types'
-import type { ChatContext, ChatMessage } from './chatgpt'
+import type { ChatMessage } from './chatgpt'
 import { abortChatProcess, chatConfig, chatReplyProcess, containsSensitiveWords, initAuditService } from './chatgpt'
 import { auth, getUserId } from './middleware/auth'
 import { clearApiKeyCache, clearConfigCache, getApiKeys, getCacheApiKeys, getCacheConfig, getOriginConfig } from './storage/config'
@@ -335,46 +335,6 @@ router.post('/chat-clear', auth, async (req, res) => {
   }
 })
 
-router.post('/chat', auth, async (req, res) => {
-  try {
-    const { roomId, uuid, regenerate, prompt, options = {} } = req.body as
-      { roomId: number; uuid: number; regenerate: boolean; prompt: string; options?: ChatContext }
-    const message = regenerate
-      ? await getChat(roomId, uuid)
-      : await insertChat(uuid, prompt, roomId, options as ChatOptions)
-    const response = await chatReply(prompt, options)
-    if (response.status === 'Success') {
-      if (regenerate && message.options.messageId) {
-        const previousResponse = message.previousResponse || []
-        previousResponse.push({ response: message.response, options: message.options })
-        await updateChat(message._id as unknown as string,
-          response.data.text,
-          response.data.id,
-          response.data.detail?.usage as UsageResponse,
-          previousResponse as [])
-      }
-      else {
-        await updateChat(message._id as unknown as string,
-          response.data.text,
-          response.data.id,
-          response.data.detail?.usage as UsageResponse)
-      }
-
-      if (response.data.usage) {
-        await insertChatUsage(new ObjectId(req.headers.userId as string),
-          roomId,
-          message._id,
-          response.data.id,
-          response.data.detail?.usage as UsageResponse)
-      }
-    }
-    res.send(response)
-  }
-  catch (error) {
-    res.send(error)
-  }
-})
-
 router.post('/chat-process', [auth, limiter], async (req, res) => {
   res.setHeader('Content-type', 'application/octet-stream')
 

src/api/index.ts

@@ -3,18 +3,6 @@ import { get, post } from '@/utils/request'
 import type { AuditConfig, CHATMODEL, ConfigState, KeyConfig, MailConfig, SiteConfig, Status, UserRole } from '@/components/common/Setting/model'
 import { useAuthStore, useSettingStore } from '@/store'
 
-export function fetchChatAPI<T = any>(
-  prompt: string,
-  options?: { conversationId?: string; parentMessageId?: string },
-  signal?: GenericAbortSignal,
-) {
-  return post<T>({
-    url: '/chat',
-    data: { prompt, options },
-    signal,
-  })
-}
-
 export function fetchChatConfig<T = any>() {
   return post<T>({
     url: '/config',