How to implement anti-fraud and security of requests in FastAPI

How to implement anti-fraud and security of requests in FastAPI

Introduction:
With the rapid development of the Internet, network fraud and security issues have become important challenges faced by the majority of users and enterprises. one. To ensure the security of users’ information and the validity of transactions, more and more applications are beginning to adopt anti-fraud and security measures. FastAPI, as a high-performance web framework, provides convenience in implementing anti-fraud and security of requests. This article will introduce how to use FastAPI to implement anti-fraud and security of requests through code examples.

1. Introducing dependent libraries
Before we start, we need to install and introduce some dependent libraries. These libraries will help us implement anti-fraud and security features.

from fastapi import FastAPI, Header, HTTPException, Depends, Response
from pydantic import BaseModel
from typing import Optional

2. Define the request model
Before starting to process the request, we need to define a request model. This model will be used to validate and parse parameters in requests.

class Request(BaseModel):
    user_agent: Optional[str] = None
    ip_address: Optional[str] = None

class ResponseModel(BaseModel):
    result: str

3. Implement anti-fraud and security functions
In FastAPI, we can use the FastAPI decorator to implement anti-fraud and security functions. We can use the Depends keyword to declare functions that require dependency injection.

async def check_fraud(request: Request, api_key: str = Header(...)) -> Response:
    # 检查用户代理
    if request.user_agent and 'bot' in request.user_agent:
        raise HTTPException(
            status_code=403,
            detail='Bot Detected'
        )

    # 检查IP地址
    if request.ip_address and request.ip_address in blacklist:
        raise HTTPException(
            status_code=403,
            detail='IP Address Blocked'
        )

    # 其他检查逻辑...

    # 返回结果
    return ResponseModel(result='Success')

4. Define routes
In FastAPI, we can specify the function that handles requests by defining routes.

app = FastAPI()

@app.post('/api/verify', status_code=200)
async def verify(request: Request, response: Response = Depends(check_fraud)):
    return response

5. Start the application
Finally, we need to start the FastAPI application and listen to the specified host and port.

if __name__ == '__main__':
    import uvicorn

    uvicorn.run(app, host='0.0.0.0', port=8000)

Conclusion:
By using the FastAPI framework, we can easily implement the requested anti-fraud and security functions. In this article, we showed you how to define a request model, implement anti-fraud and security functionality, and complete the process by defining routes and launching the application. We can also customize more anti-fraud and security measures based on specific needs to ensure the safety and reliability of the application.

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