549 lines
17 KiB
Python
549 lines
17 KiB
Python
"""
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FastAPI服务 - Facebook搜索智能Agent
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提供搜索API接口和MCP协议支持
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"""
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import json
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import uuid
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from typing import Dict, Any, Optional, AsyncGenerator
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from fastapi import FastAPI, HTTPException, Request, Header, Depends
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import StreamingResponse, JSONResponse
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from pydantic import BaseModel, Field
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from datetime import datetime
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import sys
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from typing import Optional
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from loguru import logger
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# 支持相对导入和绝对导入
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try:
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from .config import Config
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from .agent import FacebookAgent
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from .models.schemas import SearchRequest, SearchResponse
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from .mcp_server import search_facebook, initialize_agent
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except ImportError:
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# 如果相对导入失败，尝试绝对导入
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from config import Config
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from agent import FacebookAgent
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from models.schemas import SearchRequest, SearchResponse
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from mcp_server import search_facebook, initialize_agent
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# ==================== FastAPI应用 ====================
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# 创建FastAPI应用
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app = FastAPI(
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title="Facebook搜索智能Agent API",
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description="提供Facebook内容搜索服务和MCP协议支持，基于Pydantic AI框架和LiteLLM Gateway",
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version="1.0.0"
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)
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# 添加CORS中间件
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# 全局变量
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config: Optional[Config] = None
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agent: Optional[FacebookAgent] = None
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# MCP 工具映射
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TOOL_MAP = {
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'search_facebook': search_facebook,
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}
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# Session 管理
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sessions: Dict[str, Dict[str, Any]] = {}
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class MCPRequest(BaseModel):
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"""MCP JSON-RPC 请求"""
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jsonrpc: str = "2.0"
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id: Optional[str] = None
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method: str
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params: Optional[Dict[str, Any]] = None
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class MCPResponse(BaseModel):
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"""MCP JSON-RPC 响应"""
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jsonrpc: str = "2.0"
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id: Optional[str] = None
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result: Optional[Any] = None
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error: Optional[Dict[str, Any]] = None
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async def handle_mcp_request(request_data: Dict[str, Any], session_id: Optional[str] = None, api_key: Optional[str] = None) -> Dict[str, Any]:
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"""处理 MCP 请求"""
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method = request_data.get("method")
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params = request_data.get("params", {})
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request_id = request_data.get("id")
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# 对于 tools/call 方法，需要验证 API key
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if method == "tools/call":
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if not api_key or api_key.strip() == "" or api_key.strip() == "sk":
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return {
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"jsonrpc": "2.0",
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"id": request_id,
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"error": {
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"code": -32001,
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"message": "缺少 API key。请在请求头中提供 'api-key' 或 'Authorization: Bearer <token>'。"
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}
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}
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try:
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if method == "initialize":
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# 初始化会话
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if not session_id:
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session_id = str(uuid.uuid4())
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sessions[session_id] = {
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"initialized": True,
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"capabilities": {}
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}
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return {
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"jsonrpc": "2.0",
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"id": request_id,
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"result": {
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"protocolVersion": "2024-11-05",
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"capabilities": {
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"tools": {},
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"resources": {}
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},
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"serverInfo": {
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"name": "Facebook搜索Agent",
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"version": "1.0.0"
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}
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}
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}
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elif method == "tools/list":
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# 列出所有工具
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tools = [
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{
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"name": "search_facebook",
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"description": "搜索Facebook内容，返回相关帖子和AI生成的总结。支持搜索关键词，返回帖子标题、链接、摘要、作者、点赞数等信息，并提供AI生成的总结。",
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"inputSchema": {
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"type": "object",
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"properties": {
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"query": {
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"type": "string",
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"description": "搜索关键词，例如：technology news、travel tips、food recipes等"
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},
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"limit": {
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"type": "integer",
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"description": "返回结果数量，默认5，最大20",
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"default": 5,
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"minimum": 1,
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"maximum": 20
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}
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},
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"required": ["query"]
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}
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}
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]
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return {
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"jsonrpc": "2.0",
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"id": request_id,
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"result": {
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"tools": tools
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}
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}
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elif method == "tools/call":
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# 调用工具
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tool_name = params.get("name")
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arguments = params.get("arguments", {})
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if tool_name not in TOOL_MAP:
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raise ValueError(f"Tool '{tool_name}' not found")
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# 如果提供了 API key，临时更新配置
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if api_key and agent is not None:
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old_api_key = agent.config.litellm_api_key
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agent.config.litellm_api_key = api_key
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# 重新创建 LLM 客户端以使用新的 API key
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try:
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from .clients.litellm_client import LiteLLMClient
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except ImportError:
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from clients.litellm_client import LiteLLMClient
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agent.deps.llm_client = LiteLLMClient(agent.config)
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try:
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# 获取工具函数
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tool_func = TOOL_MAP[tool_name]
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# 调用工具（异步）
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result = await tool_func(**arguments)
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finally:
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# 恢复原来的 API key
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if api_key and agent is not None and 'old_api_key' in locals():
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agent.config.litellm_api_key = old_api_key
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try:
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from .clients.litellm_client import LiteLLMClient
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except ImportError:
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from clients.litellm_client import LiteLLMClient
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agent.deps.llm_client = LiteLLMClient(agent.config)
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return {
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"jsonrpc": "2.0",
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"id": request_id,
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"result": {
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"content": [
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{
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"type": "text",
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"text": str(result)
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}
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]
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}
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}
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elif method == "ping":
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return {
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"jsonrpc": "2.0",
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"id": request_id,
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"result": {}
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}
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else:
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raise ValueError(f"Unknown method: {method}")
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except Exception as e:
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return {
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"jsonrpc": "2.0",
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"id": request_id,
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"error": {
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"code": -32603,
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"message": str(e)
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}
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}
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def setup_logger():
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"""配置日志"""
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logger.remove()
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logger.add(
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sys.stderr,
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level=config.log_level if config else "INFO",
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format="<green>{time:HH:mm:ss}</green> | <level>{level: <8}</level> | <cyan>{message}</cyan>"
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)
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@app.on_event("startup")
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async def startup_event():
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"""应用启动时初始化"""
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global config, agent
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try:
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# 加载配置
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config = Config.from_env()
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config.validate()
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# 配置日志
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setup_logger()
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# 创建Agent
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agent = FacebookAgent(config)
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logger.info("=" * 60)
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logger.info("Facebook搜索智能Agent API 启动成功")
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logger.info("=" * 60)
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logger.info(f"LiteLLM Gateway: {config.litellm_gateway_url}")
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logger.info(f"模型: {config.litellm_model}")
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logger.info(f"Facebook API Host: {config.facebook_api_host}")
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logger.info("MCP服务器已就绪，支持HTTP/SSE传输")
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# 初始化MCP Agent（如果还没有初始化）
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try:
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initialize_agent()
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except Exception:
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pass # 如果已经初始化，忽略错误
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except Exception as e:
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logger.error(f"启动失败: {e}")
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raise
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@app.get("/", tags=["健康检查"])
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async def root():
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"""根路径 - 服务信息"""
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return {
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"service": "Facebook搜索智能Agent API",
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"status": "running",
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"version": "1.0.0",
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"timestamp": datetime.now().isoformat(),
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"endpoints": {
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"api": {
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"search": "/search",
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"config": "/config",
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"health": "/health"
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},
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"mcp": {
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"http": "/mcp",
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"sse": "/mcp/sse"
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}
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},
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"tools": list(TOOL_MAP.keys())
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}
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@app.get("/health", tags=["健康检查"])
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async def health_check():
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"""健康检查接口"""
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return {
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"status": "healthy",
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"service": "Facebook搜索智能Agent API + MCP Server",
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"agent_initialized": agent is not None,
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"tools_count": len(TOOL_MAP),
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"timestamp": datetime.now().isoformat()
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}
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# ==================== API Key 验证 ====================
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async def verify_api_key(
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api_key: Optional[str] = Header(None, alias="api-key"),
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authorization: Optional[str] = Header(None)
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) -> str:
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"""
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验证 API Key
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支持从以下位置获取 API key:
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1. api-key 请求头
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2. Authorization: Bearer <token> 请求头
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如果没有提供 API key，返回 401 错误
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"""
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# 从 api-key 请求头获取
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if api_key:
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if not api_key.strip() or api_key.strip() == "sk":
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raise HTTPException(
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status_code=401,
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detail="无效的 API key。请提供有效的 API key。"
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)
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return api_key.strip()
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# 从 Authorization 请求头获取
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if authorization:
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if authorization.startswith("Bearer "):
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api_key = authorization[7:].strip()
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else:
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api_key = authorization.strip()
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if not api_key or api_key == "sk":
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raise HTTPException(
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status_code=401,
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detail="无效的 API key。请提供有效的 API key。"
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)
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return api_key
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# 如果没有提供 API key，返回错误
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raise HTTPException(
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status_code=401,
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detail="缺少 API key。请在请求头中提供 'api-key' 或 'Authorization: Bearer <token>'。"
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)
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@app.post("/search", response_model=SearchResponse, tags=["搜索"])
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async def search(request: SearchRequest, api_key: str = Depends(verify_api_key)):
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"""
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执行Facebook搜索
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- **query**: 搜索关键词（必填）
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- **limit**: 返回结果数量（可选，默认5，最大20）
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返回：
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- 搜索结果列表
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- AI生成的总结
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- 统计信息
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"""
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if agent is None:
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raise HTTPException(status_code=503, detail="服务未初始化")
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try:
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# 如果提供了 API key，临时更新配置
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if api_key:
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old_api_key = agent.config.litellm_api_key
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agent.config.litellm_api_key = api_key
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# 重新创建 LLM 客户端以使用新的 API key
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try:
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from .clients.litellm_client import LiteLLMClient
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except ImportError:
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from clients.litellm_client import LiteLLMClient
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agent.deps.llm_client = LiteLLMClient(agent.config)
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try:
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# 执行搜索
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response = await agent.search(request)
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finally:
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# 恢复原来的 API key
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if api_key and 'old_api_key' in locals():
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agent.config.litellm_api_key = old_api_key
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try:
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from .clients.litellm_client import LiteLLMClient
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except ImportError:
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from clients.litellm_client import LiteLLMClient
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agent.deps.llm_client = LiteLLMClient(agent.config)
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if not response.success:
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raise HTTPException(status_code=500, detail=response.message or "搜索失败")
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return response
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"搜索失败: {e}")
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raise HTTPException(status_code=500, detail=f"搜索失败: {str(e)}")
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@app.get("/config", tags=["配置"])
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async def get_config():
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"""获取当前配置信息（隐藏敏感信息）"""
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if config is None:
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raise HTTPException(status_code=503, detail="服务未初始化")
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return {
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"litellm_model": config.litellm_model,
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"facebook_api_host": config.facebook_api_host,
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"max_results": config.max_results,
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"log_level": config.log_level,
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"timeout": config.timeout
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}
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# ==================== MCP 协议端点 ====================
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@app.post("/mcp", tags=["MCP"])
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async def mcp_http_endpoint(request: Request):
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"""MCP HTTP 端点 - Streamable HTTP"""
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try:
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body = await request.json()
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session_id = request.headers.get("x-mcp-session-id")
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# 从请求头获取 API key
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api_key = request.headers.get("api-key") or request.headers.get("api_key")
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if not api_key:
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auth_header = request.headers.get("Authorization")
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if auth_header:
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if auth_header.startswith("Bearer "):
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api_key = auth_header[7:]
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else:
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api_key = auth_header
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response = await handle_mcp_request(body, session_id, api_key=api_key)
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# 如果创建了新会话，返回 session ID
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if "result" in response and isinstance(response["result"], dict):
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if "sessionId" not in response["result"] and session_id:
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response["result"]["sessionId"] = session_id
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return JSONResponse(
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content=response,
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headers={"x-mcp-session-id": session_id or ""}
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)
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except Exception as e:
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return JSONResponse(
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status_code=400,
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content={
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"jsonrpc": "2.0",
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"error": {
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"code": -32700,
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"message": f"Parse error: {str(e)}"
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}
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}
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)
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@app.get("/mcp/sse", tags=["MCP"])
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async def mcp_sse_endpoint(request: Request):
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"""MCP SSE 端点 - Server-Sent Events"""
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session_id = request.headers.get("x-mcp-session-id") or str(uuid.uuid4())
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async def event_stream() -> AsyncGenerator[str, None]:
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# 发送初始连接消息
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yield f"data: {json.dumps({'type': 'connection', 'sessionId': session_id})}\n\n"
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# 发送工具列表
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tools = list(TOOL_MAP.keys())
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yield f"data: {json.dumps({'type': 'tools', 'tools': tools})}\n\n"
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# 保持连接
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import asyncio
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while True:
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await asyncio.sleep(30) # 心跳
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yield f"data: {json.dumps({'type': 'ping'})}\n\n"
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return StreamingResponse(
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event_stream(),
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media_type="text/event-stream",
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headers={
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"Cache-Control": "no-cache",
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"Connection": "keep-alive",
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"x-mcp-session-id": session_id
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}
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)
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@app.post("/mcp/sse", tags=["MCP"])
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async def mcp_sse_post(request: Request):
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"""MCP SSE POST 端点 - 处理 SSE 请求"""
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try:
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body = await request.json()
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session_id = request.headers.get("x-mcp-session-id") or str(uuid.uuid4())
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# 从请求头获取 API key
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api_key = request.headers.get("api-key") or request.headers.get("api_key")
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if not api_key:
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auth_header = request.headers.get("Authorization")
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if auth_header:
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if auth_header.startswith("Bearer "):
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api_key = auth_header[7:]
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else:
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api_key = auth_header
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async def response_stream() -> AsyncGenerator[str, None]:
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response = await handle_mcp_request(body, session_id, api_key=api_key)
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yield f"data: {json.dumps(response)}\n\n"
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return StreamingResponse(
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response_stream(),
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media_type="text/event-stream",
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headers={
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"Cache-Control": "no-cache",
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"Connection": "keep-alive",
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"x-mcp-session-id": session_id
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}
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)
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except Exception as e:
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return JSONResponse(
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|
status_code=400,
|
|
content={
|
|
"jsonrpc": "2.0",
|
|
"error": {
|
|
"code": -32700,
|
|
"message": f"Parse error: {str(e)}"
|
|
}
|
|
}
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
import uvicorn
|
|
|
|
# 运行服务
|
|
uvicorn.run(
|
|
"facebook_agent.api:app",
|
|
host="0.0.0.0",
|
|
port=8000,
|
|
reload=True,
|
|
log_level="info"
|
|
)
|
|
|