from flask import Flask, request app = Flask(__name__) @app.route('/example', methods=['POST']) def example(): json_data = request.get_json() # 检查是否成功解析JSON数据 if not json_data: return '无效的JSON数据', 400 # 获取参数值 param1 = json_data.get('param1') param2 = json_data.get('param2') # 进行其他处理... return '成功' if __name__ == '__main__': app.run(),帮我转成fastapi框架

Sure, here is the equivalent code in FastAPI framework:

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel

app = FastAPI()

class ExampleRequest(BaseModel):
    param1: str
    param2: int

@app.post('/example')
async def example(request: ExampleRequest):
    # 获取参数值
    param1 = request.param1
    param2 = request.param2
    
    # 进行其他处理...
    
    return {'msg': '成功'}

@app.exception_handler(HTTPException)
async def http_exception_handler(request, exc):
    return JSONResponse(content={"detail": exc.detail}, status_code=exc.status_code)

if __name__ == '__main__':
    import uvicorn
    uvicorn.run(app, host='0.0.0.0', port=8000)

Note that we are using Pydantic to define the request body schema, and we are returning a JSON response with the "msg" key. Also, we have defined an exception handler to return the error messages in a JSON format.