codeapi-new/main.py

from io import StringIO
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import StreamingResponse
import os
import json
from openai import OpenAI
from schemas import (
    PresetCodeCreate,
    AIAnalysisRequest,
    DebugRequest,
    FormatRequest,
    FormatResponse,
)
from database import DatabaseService
from debug_runner import DebugError, run_debug
from formatter import format_code, FormatError
from dotenv import load_dotenv


# 加载环境变量
load_dotenv()

app = FastAPI(title="Code API", version="1.0.0")

# CORS 配置
app.add_middleware(
    CORSMiddleware,
    allow_origins=[
        "https://code.xuyue.cc",
        "http://10.13.114.114",
        "http://localhost:3000",
    ],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# 数据库配置
DATABASE_URL = "sqlite://database.db"

# 初始化数据库
DatabaseService.init_database(app, DATABASE_URL)


@app.get("/")
async def get_all_codes() -> dict:
    """获取所有预设代码"""
    codes = await DatabaseService.get_all_codes()
    return {"data": codes}


@app.get("/query/{query}")
async def get_code_by_query(query: str) -> dict:
    """根据查询字符串获取特定代码"""
    code = await DatabaseService.get_code_by_query(query)
    if not code:
        raise HTTPException(status_code=404, detail="Record not found!")
    return {"data": code}


@app.post("/")
async def create_code(code_data: PresetCodeCreate) -> dict:
    """创建新的预设代码"""
    try:
        code = await DatabaseService.create_code(code_data)
        return {"data": code}
    except Exception as e:
        raise HTTPException(status_code=400, detail=str(e))


@app.delete("/{code_id}")
async def delete_code(code_id: int) -> dict:
    """删除指定 ID 的代码"""
    success = await DatabaseService.delete_code(code_id)
    if not success:
        raise HTTPException(status_code=400, detail="Record not found!")

    return {"data": True}


@app.post("/ai")
async def ai_analysis(request: AIAnalysisRequest):
    """AI 代码分析端点"""
    code = request.code
    error_info = request.error_info
    language = request.language

    api_key = os.getenv("API_KEY")
    if not api_key:
        raise HTTPException(status_code=400, detail="API_KEY is not set")

    system_prompt = "你是编程老师，擅长分析代码和错误信息，一般出错在语法和格式，请指出错误在第几行，并给出中文的、简要的解决方法。用 markdown 格式返回。"
    user_prompt = f"编程语言：{language}\n代码：\n```{language}\n{code}\n```\n错误信息：\n```\n{error_info}\n```"

    def generate_response():
        try:
            # 初始化 OpenAI 客户端
            client = OpenAI(api_key=api_key, base_url="https://api.deepseek.com")

            # 创建流式响应
            stream = client.chat.completions.create(
                model="deepseek-chat",
                messages=[
                    {"role": "system", "content": system_prompt},
                    {"role": "user", "content": user_prompt},
                ],
                stream=True,
                seed=0,
            )

            for chunk in stream:
                if chunk.choices and len(chunk.choices) > 0:
                    delta = chunk.choices[0].delta
                    if hasattr(delta, "content") and delta.content:
                        yield f"data: {json.dumps({'event': 'chunk', 'data': delta.content})}\n\n"

            # 发送完成信号
            yield f"data: {json.dumps({'event': 'done', 'data': ''})}\n\n"

        except Exception as e:
            yield f"data: {json.dumps({'event': 'error', 'data': str(e)})}\n\n"

    return StreamingResponse(
        generate_response(),
        media_type="text/event-stream",
        headers={
            "Cache-Control": "no-cache",
            "Connection": "keep-alive",
        },
    )


@app.post("/debug")
def debug(request: DebugRequest) -> dict:
    """调试端点

    用同步 def 而不是 async def：跟踪执行是 CPU 密集的阻塞调用，
    交给 FastAPI 的线程池，避免堵死事件循环。
    """
    try:
        data = run_debug(request.code, request.inputs)
    except DebugError as e:
        raise HTTPException(status_code=400, detail=str(e))
    return {"data": data}


@app.post("/format", response_model=FormatResponse)
async def format_code_endpoint(request: FormatRequest) -> FormatResponse:
    """格式化代码"""
    try:
        formatted = format_code(request.code, request.language)
    except FormatError as e:
        raise HTTPException(status_code=400, detail=str(e))
    return FormatResponse(code=formatted)


if __name__ == "__main__":
    import uvicorn

    uvicorn.run(app, host="0.0.0.0", port=8080)