python后端 启用 gzip 压缩响应体

1. Flask

服务器端代码 (使用 Flask)

from flask import Flask, jsonify, request
from flask_compress import Compress
import loggingapp = Flask(__name__)
Compress(app)  # 启用 gzip 压缩# 配置日志
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)@app.route('/data', methods=['GET'])
def get_data():try:# 处理请求参数count = int(request.args.get('count', 100))# 返回一些示例 JSON 数据data = {'message': 'Hello, this is compressed data!','numbers': list(range(count))}return jsonify(data)except Exception as e:logger.error(f"Error occurred: {e}")return jsonify({'error': 'Internal Server Error'}), 500@app.errorhandler(404)
def page_not_found(e):return jsonify({'error': 'Not Found'}), 404if __name__ == '__main__':app.run(debug=True)

客户端代码 (接收并解压 gzip 响应)

import requests
import gzip
import json
from io import BytesIOdef fetch_data(url):try:# 发送请求到服务器端response = requests.get(url)# 检查响应头，确认数据是否被 gzip 压缩if response.headers.get('Content-Encoding') == 'gzip':# 使用 gzip 解压响应内容compressed_content = BytesIO(response.content)with gzip.GzipFile(fileobj=compressed_content, mode='rb') as f:decompressed_data = f.read()# 解码解压后的数据data = json.loads(decompressed_data.decode('utf-8'))return dataelse:return response.json()except requests.RequestException as e:print(f"HTTP request failed: {e}")return Noneexcept json.JSONDecodeError as e:print(f"Failed to decode JSON: {e}")return Noneexcept Exception as e:print(f"An error occurred: {e}")return Noneif __name__ == '__main__':url = 'http://127.0.0.1:5000/data?count=50'data = fetch_data(url)if data:print(data)else:print("Failed to fetch data.")

2. FastAPI

服务器端代码 (使用 FastAPI)

pip install fastapi uvicorn fastapi-compress

from fastapi import FastAPI, Request, HTTPException
from fastapi.responses import JSONResponse
from fastapi_compress import Compress
import loggingapp = FastAPI()
compressor = Compress()
compressor.init_app(app)# 配置日志
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)@app.get("/data")
async def get_data(count: int = 100):try:# 返回一些示例 JSON 数据data = {'message': 'Hello, this is compressed data!','numbers': list(range(count))}return JSONResponse(content=data)except Exception as e:logger.error(f"Error occurred: {e}")raise HTTPException(status_code=500, detail="Internal Server Error")@app.exception_handler(404)
async def not_found_handler(request: Request, exc: HTTPException):return JSONResponse(status_code=404, content={'error': 'Not Found'})if __name__ == '__main__':import uvicornuvicorn.run(app, host="127.0.0.1", port=8000, log_level="info")

客户端代码 (接收并解压 gzip 响应)

import requests
import gzip
import json
from io import BytesIOdef fetch_data(url):try:# 发送请求到服务器端response = requests.get(url)# 检查响应头，确认数据是否被 gzip 压缩if response.headers.get('Content-Encoding') == 'gzip':# 使用 gzip 解压响应内容compressed_content = BytesIO(response.content)with gzip.GzipFile(fileobj=compressed_content, mode='rb') as f:decompressed_data = f.read()# 解码解压后的数据data = json.loads(decompressed_data.decode('utf-8'))return dataelse:return response.json()except requests.RequestException as e:print(f"HTTP request failed: {e}")return Noneexcept json.JSONDecodeError as e:print(f"Failed to decode JSON: {e}")return Noneexcept Exception as e:print(f"An error occurred: {e}")return Noneif __name__ == '__main__':url = 'http://127.0.0.1:8000/data?count=50'data = fetch_data(url)if data:print(data)else:print("Failed to fetch data.")