Update index.js

index.js

@@ -1,68 +1,68 @@
 import grpc from '@grpc/grpc-js';
 import protoLoader from '@grpc/proto-loader';
-import {AutoRouter, cors, error, json} from 'itty-router';
+import { AutoRouter, cors, error, json } from 'itty-router';
 import dotenv from 'dotenv';
-import {createServerAdapter} from '@whatwg-node/server';
-import {createServer} from 'http';
+import { createServerAdapter } from '@whatwg-node/server';
+import { createServer } from 'http';
 
 // 加载环境变量
 dotenv.config();
 // 初始化配置
 class Config {
-        constructor() {
-                this.API_PREFIX = process.env.API_PREFIX || '/';
-                this.API_KEY = process.env.API_KEY || '';
-                this.MAX_RETRY_COUNT = process.env.MAX_RETRY_COUNT || 3;
-                this.RETRY_DELAY = process.env.RETRY_DELAY || 5000;
-                this.COMMON_GRPC = 'runtime-native-io-vertex-inference-grpc-service-lmuw6mcn3q-ul.a.run.app';
-                this.COMMON_PROTO = './VertexInferenceService.proto';
-                this.GPT_GRPC = 'runtime-native-io-gpt-inference-grpc-service-lmuw6mcn3q-ul.a.run.app';
-                this.GPT_PROTO = './GPTInferenceService.proto';
-                this.PORT = process.env.PORT || 8787;
-        }
+  constructor() {
+    this.API_PREFIX = process.env.API_PREFIX || '/';
+    this.API_KEY = process.env.API_KEY || '';
+    this.MAX_RETRY_COUNT = process.env.MAX_RETRY_COUNT || 3;
+    this.RETRY_DELAY = process.env.RETRY_DELAY || 5000;
+    this.COMMON_GRPC = 'runtime-native-io-vertex-inference-grpc-service-lmuw6mcn3q-ul.a.run.app';
+    this.COMMON_PROTO = './VertexInferenceService.proto';
+    this.GPT_GRPC = 'runtime-native-io-gpt-inference-grpc-service-lmuw6mcn3q-ul.a.run.app';
+    this.GPT_PROTO = './GPTInferenceService.proto';
+    this.PORT = process.env.PORT || 8787;
+  }
 }
 class GRPCHandler {
-        constructor(protoFilePath) {
-                // 动态加载传入的 .proto 文件路径
-                this.packageDefinition = protoLoader.loadSync(protoFilePath, {
-                        keepCase: true,
-                        longs: String,
-                        enums: String,
-                        defaults: true,
-                        oneofs: true
-                });
-        }
+  constructor(protoFilePath) {
+    // 动态加载传入的 .proto 文件路径
+    this.packageDefinition = protoLoader.loadSync(protoFilePath, {
+      keepCase: true,
+      longs: String,
+      enums: String,
+      defaults: true,
+      oneofs: true
+    });
+  }
 }
 const config = new Config();
 // 中间件
 // 添加运行回源
 const { preflight, corsify } = cors({
-	origin: '*',
-	allowMethods: '*',
-	exposeHeaders: '*',
+  origin: '*',
+  allowMethods: '*',
+  exposeHeaders: '*',
 });
 
 // 添加认证
 const withAuth = (request) => {
-	if (config.API_KEY) {
-		const authHeader = request.headers.get('Authorization');
-		if (!authHeader || !authHeader.startsWith('Bearer ')) {
-			return error(401, 'Unauthorized: Missing or invalid Authorization header');
-		}
-		const token = authHeader.substring(7);
-		if (token !== config.API_KEY) {
-			return error(403, 'Forbidden: Invalid API key');
-		}
-	}
+  if (config.API_KEY) {
+    const authHeader = request.headers.get('Authorization');
+    if (!authHeader || !authHeader.startsWith('Bearer ')) {
+      return error(401, 'Unauthorized: Missing or invalid Authorization header');
+    }
+    const token = authHeader.substring(7);
+    if (token !== config.API_KEY) {
+      return error(403, 'Forbidden: Invalid API key');
+    }
+  }
 };
 // 返回运行信息
 const logger = (res, req) => {
-	console.log(req.method, res.status, req.url, Date.now() - req.start, 'ms');
+  console.log(req.method, res.status, req.url, Date.now() - req.start, 'ms');
 };
 const router = AutoRouter({
-	before: [preflight, withAuth],
-	missing: () => error(404, '404 not found.'),
-	finally: [corsify, logger],
+  before: [preflight, withAuth],
+  missing: () => error(404, '404 not found.'),
+  finally: [corsify, logger],
 });
 // Router路径
 router.get('/', () => json({ message: 'API 服务运行中~' }));
@@ -70,199 +70,199 @@ router.get('/ping', () => json({ message: 'pong' }));
 router.post(config.API_PREFIX + '/v1/chat/completions', (req) => handleCompletion(req));
 
 async function GrpcToPieces(models, message, rules, stream, temperature, top_p) {
-        // 在非GPT类型的模型中，temperature和top_p是无效的
-        // 使用系统的根证书
-        const credentials = grpc.credentials.createSsl();
-        let client,request;
-        if (models.includes('gpt')){
-                // 加载proto文件
-                const packageDefinition = new GRPCHandler(config.GPT_PROTO).packageDefinition;
-                // 构建请求消息
-                request = {
-                        models: models,
-                        messages: [
-                                {role: 0, message: rules}, // system
-                                {role: 1, message: message} // user
-                        ],
-                        temperature:temperature || 0.1,
-                        top_p:top_p ?? 1,
-                }
-                // 获取gRPC对象
-                const GRPCobjects = grpc.loadPackageDefinition(packageDefinition).runtime.aot.machine_learning.parents.gpt;
-                client = new GRPCobjects.GPTInferenceService(config.GPT_GRPC, credentials);
-        } else {
-                // 加载proto文件
-                const packageDefinition = new GRPCHandler(config.COMMON_PROTO).packageDefinition;
-                // 构建请求消息
-                request = {
-                        models: models,
-                        args: {
-                                messages: {
-                                        unknown: 1,
-                                        message: message
-                                },
-                                rules: rules
-                        }
-                };
-                // 获取gRPC对象
-                const GRPCobjects = grpc.loadPackageDefinition(packageDefinition).runtime.aot.machine_learning.parents.vertex;
-                client = new GRPCobjects.VertexInferenceService(config.COMMON_GRPC, credentials);
-        }
-        return await ConvertOpenai(client,request,models,stream);
+  // 在非GPT类型的模型中，temperature和top_p是无效的
+  // 使用系统的根证书
+  const credentials = grpc.credentials.createSsl();
+  let client, request;
+  if (models.includes('gpt')) {
+    // 加载proto文件
+    const packageDefinition = new GRPCHandler(config.GPT_PROTO).packageDefinition;
+    // 构建请求消息
+    request = {
+      models: models,
+      messages: [
+        { role: 0, message: rules }, // system
+        { role: 1, message: message } // user
+      ],
+      temperature: temperature || 0.1,
+      top_p: top_p ?? 1,
+    }
+    // 获取gRPC对象
+    const GRPCobjects = grpc.loadPackageDefinition(packageDefinition).runtime.aot.machine_learning.parents.gpt;
+    client = new GRPCobjects.GPTInferenceService(config.GPT_GRPC, credentials);
+  } else {
+    // 加载proto文件
+    const packageDefinition = new GRPCHandler(config.COMMON_PROTO).packageDefinition;
+    // 构建请求消息
+    request = {
+      models: models,
+      args: {
+        messages: {
+          unknown: 1,
+          message: message
+        },
+        rules: rules
+      }
+    };
+    // 获取gRPC对象
+    const GRPCobjects = grpc.loadPackageDefinition(packageDefinition).runtime.aot.machine_learning.parents.vertex;
+    client = new GRPCobjects.VertexInferenceService(config.COMMON_GRPC, credentials);
+  }
+  return await ConvertOpenai(client, request, models, stream);
 }
 
 async function messagesProcess(messages) {
-        let rules = '';
-        let message = '';
+  let rules = '';
+  let message = '';
 
-        for (const msg of messages) {
-                let role = msg.role;
-                // 格式化为字符串
-                const contentStr = Array.isArray(msg.content)
-                    ? msg.content
-                    .filter((item) => item.text)
-                    .map((item) => item.text)
-                    .join('') || ''
-                    : msg.content;
-                // 判断身份
-                if (role === 'system') {
-                        rules += `system:${contentStr};\r\n`;
-                } else if (['user', 'assistant'].includes(role)) {
-                        message += `${role}:${contentStr};\r\n`;
-                }
-        }
+  for (const msg of messages) {
+    let role = msg.role;
+    // 格式化为字符串
+    const contentStr = Array.isArray(msg.content)
+      ? msg.content
+        .filter((item) => item.text)
+        .map((item) => item.text)
+        .join('') || ''
+      : msg.content;
+    // 判断身份
+    if (role === 'system') {
+      rules += `system:${contentStr};\r\n`;
+    } else if (['user', 'assistant'].includes(role)) {
+      message += `${role}:${contentStr};\r\n`;
+    }
+  }
 
-        return { rules, message };
+  return { rules, message };
 }
 
-async function ConvertOpenai(client,request,model,stream) {
-        for (let i = 0; i < config.MAX_RETRY_COUNT; i++) {
-                try {
-                        if (stream) {
-                                const call = client.PredictWithStream(request);
-                                const encoder = new TextEncoder();
-                                const ReturnStream = new ReadableStream({
-                                    start(controller) {
-                                            call.on('data', (response) => {
-                                                    let response_code = Number(response.response_code);
-                                                    if (response_code === 204) {
-                                                            // 如果 response_code 是 204，关闭流
-                                                            controller.close()
-                                                            call.destroy()
-                                                    } else if (response_code === 200) {
-                                                            let response_message
-                                                            if (model.includes('gpt')) {
-                                                                    response_message = response.body.message_warpper.message.message;
-                                                            } else {
-                                                                    response_message = response.args.args.args.message;
-                                                            }
-                                                            // 否则，将数据块加入流中
-                                                            controller.enqueue(encoder.encode(`data: ${JSON.stringify(ChatCompletionStreamWithModel(response_message, model))}\n\n`));
-                                                    } else {
-                                                            controller.error(new Error(`Error: stream chunk is not success`));
-                                                            controller.close()
-                                                    }
-                                            })
-                                    }
-                                    });
-                                return new Response(ReturnStream, {
-                                        headers: {
-                                                'Content-Type': 'text/event-stream',
-                                        },
-                                })
+async function ConvertOpenai(client, request, model, stream) {
+  for (let i = 0; i < config.MAX_RETRY_COUNT; i++) {
+    try {
+      if (stream) {
+        const call = client.PredictWithStream(request);
+        const encoder = new TextEncoder();
+        const ReturnStream = new ReadableStream({
+          start(controller) {
+            call.on('data', (response) => {
+              let response_code = Number(response.response_code);
+              if (response_code === 204) {
+                // 如果 response_code 是 204，关闭流
+                controller.close()
+                call.destroy()
+              } else if (response_code === 200) {
+                let response_message
+                if (model.includes('gpt')) {
+                  response_message = response.body.message_warpper.message.message;
                 } else {
-                        const call = await new Promise((resolve, reject) => {
-                                client.Predict(request, (err, response) => {
-                                        if (err) reject(err);
-                                        else resolve(response);
-                                });
-                        });
-                        let response_code = Number(call.response_code);
-                        if (response_code === 200) {
-                                let response_message
-                                if (model.includes('gpt')) {
-                                        response_message = call.body.message_warpper.message.message;
-                                } else {
-                                        response_message = call.args.args.args.message;
-                                }
-                                return new Response(JSON.stringify(ChatCompletionWithModel(response_message, model)), {
-                                                headers: {
-                                                        'Content-Type': 'application/json',
-                                                },
-                                        });
-                                }
-                        }
-                } catch (err) {
-                        console.error(err);
-                        await new Promise((resolve) => setTimeout(resolve, config.RETRY_DELAY));
+                  response_message = response.args.args.args.message;
                 }
+                // 否则，将数据块加入流中
+                controller.enqueue(encoder.encode(`data: ${JSON.stringify(ChatCompletionStreamWithModel(response_message, model))}\n\n`));
+              } else {
+                controller.error(new Error(`Error: stream chunk is not success`));
+                controller.close()
+              }
+            })
+          }
+        });
+        return new Response(ReturnStream, {
+          headers: {
+            'Content-Type': 'text/event-stream',
+          },
+        })
+      } else {
+        const call = await new Promise((resolve, reject) => {
+          client.Predict(request, (err, response) => {
+            if (err) reject(err);
+            else resolve(response);
+          });
+        });
+        let response_code = Number(call.response_code);
+        if (response_code === 200) {
+          let response_message
+          if (model.includes('gpt')) {
+            response_message = call.body.message_warpper.message.message;
+          } else {
+            response_message = call.args.args.args.message;
+          }
+          return new Response(JSON.stringify(ChatCompletionWithModel(response_message, model)), {
+            headers: {
+              'Content-Type': 'application/json',
+            },
+          });
         }
-        return error(500, err.message);
+      }
+    } catch (err) {
+      console.error(err);
+      await new Promise((resolve) => setTimeout(resolve, config.RETRY_DELAY));
+    }
+  }
+  return error(500, err.message);
 }
 
 function ChatCompletionWithModel(message, model) {
-        return {
-                id: 'Chat-Nekohy',
-                object: 'chat.completion',
-                created: Date.now(),
-                model,
-                usage: {
-                        prompt_tokens: 0,
-                        completion_tokens: 0,
-                        total_tokens: 0,
-                },
-                choices: [
-                        {
-                                message: {
-                                        content: message,
-                                        role: 'assistant',
-                                },
-                                index: 0,
-                        },
-                ],
-        };
+  return {
+    id: 'Chat-Nekohy',
+    object: 'chat.completion',
+    created: Date.now(),
+    model,
+    usage: {
+      prompt_tokens: 0,
+      completion_tokens: 0,
+      total_tokens: 0,
+    },
+    choices: [
+      {
+        message: {
+          content: message,
+          role: 'assistant',
+        },
+        index: 0,
+      },
+    ],
+  };
 }
 
 function ChatCompletionStreamWithModel(text, model) {
-        return {
-                id: 'chatcmpl-QXlha2FBbmROaXhpZUFyZUF3ZXNvbWUK',
-                object: 'chat.completion.chunk',
-                created: 0,
-                model,
-                choices: [
-                        {
-                                index: 0,
-                                delta: {
-                                        content: text,
-                                },
-                                finish_reason: null,
-                        },
-                ],
-        };
+  return {
+    id: 'chatcmpl-QXlha2FBbmROaXhpZUFyZUF3ZXNvbWUK',
+    object: 'chat.completion.chunk',
+    created: 0,
+    model,
+    choices: [
+      {
+        index: 0,
+        delta: {
+          content: text,
+        },
+        finish_reason: null,
+      },
+    ],
+  };
 }
 
 async function handleCompletion(request) {
-        try {
-                // todo stream逆向接口
-                // 解析openai格式API请求
-                const { model: inputModel, messages, stream,temperature,top_p} = await request.json();
-                console.log(inputModel,messages,stream)
-                // 解析system和user/assistant消息
-                const { rules, message:content } = await messagesProcess(messages);
-                console.log(rules,content)
-                // 响应码，回复的消息
-                return await GrpcToPieces(inputModel, content, rules, stream, temperature, top_p);
-        } catch (err) {
-                return error(500, err.message);
-        }
+  try {
+    // todo stream逆向接口
+    // 解析openai格式API请求
+    const { model: inputModel, messages, stream, temperature, top_p } = await request.json();
+    console.log(inputModel, messages, stream)
+    // 解析system和user/assistant消息
+    const { rules, message: content } = await messagesProcess(messages);
+    console.log(rules, content)
+    // 响应码，回复的消息
+    return await GrpcToPieces(inputModel, content, rules, stream, temperature, top_p);
+  } catch (err) {
+    return error(500, err.message);
+  }
 }
 
 (async () => {
-	//For Cloudflare Workers
-	if (typeof addEventListener === 'function') return;
-	// For Nodejs
-	const ittyServer = createServerAdapter(router.fetch);
-	console.log(`Listening on http://localhost:${config.PORT}`);
-	const httpServer = createServer(ittyServer);
-	httpServer.listen(config.PORT);
+  //For Cloudflare Workers
+  if (typeof addEventListener === 'function') return;
+  // For Nodejs
+  const ittyServer = createServerAdapter(router.fetch);
+  console.log(`Listening on http://localhost:${config.PORT}`);
+  const httpServer = createServer(ittyServer);
+  httpServer.listen(config.PORT);
 })();