ailine/backend/app/backend.py

"""
FastAPI 后端 - 支持动态模型切换，使用 PostgreSQL 持久化记忆
采用依赖注入模式，优雅管理资源生命周期
"""

import os
# from app.config import DB_URI, BACKEND_PORT
from app.config import BACKEND_PORT
import uuid
import json
from contextlib import asynccontextmanager
from typing import Optional

from fastapi import FastAPI, HTTPException, WebSocket, WebSocketDisconnect, Depends, Request, Query
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import StreamingResponse
from pydantic import BaseModel
from langgraph.checkpoint.memory import MemorySaver
from .agent.service import AIAgentService
from .agent.history import ThreadHistoryService
from app.core.human_review import (
    ReviewManager,
    InMemoryReviewStore,
    ReviewStatus,
    HumanReview
)
from app.subgraphs.contact.api_client import ContactAPIClient
from app.subgraphs.dictionary.api_client import DictionaryAPIClient
from app.subgraphs.news_analysis.api_client import NewsAPIClient
# from .db.init_db import init_subgraph_tables
# from .db.models import ContactRepository, DictionaryRepository, NewsRepository
from app.logger import info, error

@asynccontextmanager
async def lifespan(app: FastAPI):
    """应用生命周期管理：创建并注入全局服务（临时用内存 checkpoint）"""
    # 1. 创建内存 checkpointer（临时测试）
    checkpointer = MemorySaver()
    
    # 2. 构建 AI Agent 服务
    agent_service = AIAgentService(checkpointer)
    await agent_service.initialize()
    
    # 3. 创建历史查询服务（保持原有的 checkpointer 参数）
    history_service = ThreadHistoryService(checkpointer)
    
    # 4. 创建审核管理器
    review_manager = ReviewManager(InMemoryReviewStore())
    
    # 5. 将服务实例存入 app.state
    app.state.agent_service = agent_service
    app.state.history_service = history_service
    app.state.review_manager = review_manager
    app.state.contact_api = ContactAPIClient()
    app.state.dictionary_api = DictionaryAPIClient()
    app.state.news_api = NewsAPIClient()
    app.state.contact_repo = None
    app.state.dictionary_repo = None
    app.state.news_repo = None
    
    # 应用运行中...
    yield
    
    # 6. 关闭时清理
    info("🛑 应用关闭")

app = FastAPI(lifespan=lifespan)

# CORS 中间件（允许前端跨域）
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# ========== 健康检查端点 ==========
@app.get("/health")
async def health_check():
    """健康检查端点，用于 Docker 和 CI/CD 监控"""
    return {"status": "ok", "service": "ai-agent-backend"}

# ========== Pydantic 模型 ==========
class ChatRequest(BaseModel):
    message: str
    thread_id: str | None = None
    model: str = "zhipu"
    user_id: str = "default_user"

class ChatResponse(BaseModel):
    reply: str
    thread_id: str
    model_used: str
    input_tokens: int = 0
    output_tokens: int = 0
    total_tokens: int = 0
    elapsed_time: float = 0.0

class ReviewActionRequest(BaseModel):
    review_id: str
    reviewer: str
    comment: str = ""
    modified_content: str = ""

class ReviewResponse(BaseModel):
    review_id: str
    thread_id: str
    user_id: str
    status: str
    content_to_review: str
    review_comment: str = ""
    modified_content: str = ""
    created_at: str
    reviewed_at: Optional[str] = None

# ========== 依赖注入函数 ==========
def get_agent_service(request: Request) -> AIAgentService:
    """从 app.state 中获取全局 AIAgentService 实例"""
    return request.app.state.agent_service

def get_history_service(request: Request) -> ThreadHistoryService:
    """从 app.state 中获取全局 ThreadHistoryService 实例"""
    return request.app.state.history_service

def get_review_manager(request: Request) -> ReviewManager:
    """从 app.state 中获取全局 ReviewManager 实例"""
    return request.app.state.review_manager

# ========== HTTP 端点 ==========
@app.post("/chat", response_model=ChatResponse)
async def chat_endpoint(
    request: ChatRequest,
    agent_service: AIAgentService = Depends(get_agent_service)
):
    """同步对话接口，支持模型选择"""
    if not request.message:
        raise HTTPException(status_code=400, detail="message required")

    thread_id = request.thread_id or str(uuid.uuid4())
    result = await agent_service.process_message(
        request.message, thread_id, request.model, request.user_id
    )
    
    # 提取 token 统计信息
    token_usage = result.get("token_usage", {})
    input_tokens = token_usage.get('prompt_tokens', token_usage.get('input_tokens', 0))
    output_tokens = token_usage.get('completion_tokens', token_usage.get('output_tokens', 0))
    elapsed_time = result.get("elapsed_time", 0.0)
    
    actual_model = request.model if request.model in agent_service.graphs else next(iter(agent_service.graphs.keys()))
    
    return ChatResponse(
        reply=result["reply"],
        thread_id=thread_id,
        model_used=actual_model,
        input_tokens=input_tokens,
        output_tokens=output_tokens,
        total_tokens=input_tokens + output_tokens,
        elapsed_time=elapsed_time
    )

# ========== 历史查询接口 ==========
@app.get("/threads")
async def list_threads(
    user_id: str = Query("default_user", description="用户 ID"),
    limit: int = Query(50, ge=1, le=200, description="返回数量限制"),
    history_service: ThreadHistoryService = Depends(get_history_service)
):
    """获取当前用户的对话历史列表"""
    threads = await history_service.get_user_threads(user_id, limit)
    return {"threads": threads}

@app.get("/thread/{thread_id}/messages")
async def get_thread_messages(
    thread_id: str,
    user_id: str = Query("default_user", description="用户 ID"),
    history_service: ThreadHistoryService = Depends(get_history_service)
):
    """获取指定线程的完整消息历史"""
    messages = await history_service.get_thread_messages(thread_id)
    return {"messages": messages}

@app.get("/thread/{thread_id}/summary")
async def get_thread_summary(
    thread_id: str,
    user_id: str = Query("default_user", description="用户 ID"),
    history_service: ThreadHistoryService = Depends(get_history_service)
):
    """获取指定线程的摘要信息"""
    summary = await history_service.get_thread_summary(thread_id)
    return summary

# ========== 流式对话接口 ==========
@app.post("/chat/stream")
async def chat_stream_endpoint(
    request: ChatRequest,
    agent_service: AIAgentService = Depends(get_agent_service)
):
    """流式对话接口（SSE）"""
    if not request.message:
        raise HTTPException(status_code=400, detail="message required")

    thread_id = request.thread_id or str(uuid.uuid4())
    
    async def event_generator():
        try:
            async for chunk in agent_service.process_message_stream(
                request.message, thread_id, request.model, request.user_id
            ):
                yield f"data: {json.dumps(chunk, ensure_ascii=False)}\n\n"
            yield "data: [DONE]\n\n"
        except Exception as e:
            error(f"流式响应异常: {e}")
            yield f"data: {json.dumps({'type': 'error', 'message': str(e)}, ensure_ascii=False)}\n\n"
            yield "data: [DONE]\n\n"
    
    return StreamingResponse(
        event_generator(),
        media_type="text/event-stream",
        headers={
            "Cache-Control": "no-cache",
            "Connection": "keep-alive",
            "X-Accel-Buffering": "no",  # 禁用 Nginx 缓冲
        }
    )

# ========== WebSocket 端点（可选） ==========
@app.websocket("/ws")
async def websocket_endpoint(
    websocket: WebSocket,
    agent_service: AIAgentService = Depends(get_agent_service)
):
    await websocket.accept()
    try:
        while True:
            data = await websocket.receive_json()
            message = data.get("message")
            thread_id = data.get("thread_id", str(uuid.uuid4()))
            model = data.get("model", "zhipu")
            user_id = data.get("user_id", "default_user")
            if not message:
                await websocket.send_json({"error": "missing message"})
                continue
            reply = await agent_service.process_message(message, thread_id, model, user_id)
            actual_model = model if model in agent_service.graphs else next(iter(agent_service.graphs.keys()))
            await websocket.send_json({"reply": reply, "thread_id": thread_id, "model_used": actual_model})
    except WebSocketDisconnect:
        pass

# ========== 审核相关端点 ==========
def review_to_response(review: HumanReview) -> ReviewResponse:
    """将审核对象转换为响应对象"""
    return ReviewResponse(
        review_id=review.review_id,
        thread_id=review.thread_id,
        user_id=review.user_id,
        status=review.status.name,
        content_to_review=review.content_to_review,
        review_comment=review.review_comment,
        modified_content=review.modified_content,
        created_at=review.created_at.isoformat(),
        reviewed_at=review.reviewed_at.isoformat() if review.reviewed_at else None
    )

@app.get("/reviews/pending", response_model=list[ReviewResponse])
async def get_pending_reviews(
    limit: int = Query(100, ge=1, le=500, description="返回数量限制"),
    review_manager: ReviewManager = Depends(get_review_manager)
):
    """获取待审核列表"""
    reviews = review_manager.get_pending_reviews(limit)
    return [review_to_response(review) for review in reviews]

@app.get("/reviews/{review_id}", response_model=ReviewResponse)
async def get_review(
    review_id: str,
    review_manager: ReviewManager = Depends(get_review_manager)
):
    """获取审核详情"""
    review = review_manager.get_review(review_id)
    if not review:
        raise HTTPException(status_code=404, detail="Review not found")
    return review_to_response(review)

@app.get("/reviews/thread/{thread_id}", response_model=list[ReviewResponse])
async def get_thread_reviews(
    thread_id: str,
    review_manager: ReviewManager = Depends(get_review_manager)
):
    """获取线程的所有审核"""
    # 注意：我们的 ReviewStore 接口目前没有 get_by_thread 方法暴露在 ReviewManager 中
    # 这里我们直接访问 store，但在实际项目中应该在 ReviewManager 中添加这个方法
    reviews = review_manager.store.get_by_thread(thread_id) if hasattr(review_manager.store, 'get_by_thread') else []
    return [review_to_response(review) for review in reviews]

@app.post("/reviews/{review_id}/approve")
async def approve_review(
    review_id: str,
    request: ReviewActionRequest,
    review_manager: ReviewManager = Depends(get_review_manager)
):
    """审核通过"""
    success = review_manager.approve(
        review_id=review_id,
        reviewer=request.reviewer,
        comment=request.comment
    )
    if not success:
        raise HTTPException(status_code=404, detail="Review not found")
    return {"status": "success", "review_id": review_id}

@app.post("/reviews/{review_id}/reject")
async def reject_review(
    review_id: str,
    request: ReviewActionRequest,
    review_manager: ReviewManager = Depends(get_review_manager)
):
    """审核拒绝"""
    success = review_manager.reject(
        review_id=review_id,
        reviewer=request.reviewer,
        comment=request.comment
    )
    if not success:
        raise HTTPException(status_code=404, detail="Review not found")
    return {"status": "success", "review_id": review_id}

@app.post("/reviews/{review_id}/modify")
async def modify_review(
    review_id: str,
    request: ReviewActionRequest,
    review_manager: ReviewManager = Depends(get_review_manager)
):
    """审核修改"""
    if not request.modified_content:
        raise HTTPException(status_code=400, detail="modified_content required")
    success = review_manager.modify(
        review_id=review_id,
        reviewer=request.reviewer,
        modified_content=request.modified_content,
        comment=request.comment
    )
    if not success:
        raise HTTPException(status_code=404, detail="Review not found")
    return {"status": "success", "review_id": review_id}

@app.post("/reviews/request")
async def request_review(
    thread_id: str,
    user_id: str,
    content: str,
    review_manager: ReviewManager = Depends(get_review_manager)
):
    """请求审核（测试用）"""
    review_id = review_manager.request_review(thread_id, user_id, content)
    return {"status": "success", "review_id": review_id}

if __name__ == "__main__":
    import uvicorn
    # 使用环境变量或默认端口 8079（避免与 llama.cpp 的 8081 端口冲突）
    port = int(BACKEND_PORT)
    uvicorn.run(app, host="0.0.0.0", port=port)