pythongzipcompresspython启用gzip实现压缩响应体

目录

• 1. Flask
• 服务器端代码 (使用 Flask)
• 客户端代码 (接收并解压 gzip 响应)
• 2. FastAPI
• 服务器端代码 (使用 FastAPI)
• 客户端代码 (接收并解压 gzip 响应)

1. Flask

服务器端代码 (使用 Flask)

from flask import Flask, jsonify, requestfrom flask_compress import Compressimport 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 requestsimport gzipimport jsonfrom 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 data else: return response.json() except requests.RequestException as e: print(f”HTTP request failed: e}”) return None except json.JSONDecodeError as e: print(f”Failed to decode JSON: e}”) return None except 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, HTTPExceptionfrom fastapi.responses import JSONResponsefrom fastapi_compress import Compressimport 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 uvicorn uvicorn.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 requestsimport gzipimport jsonfrom 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 data else: return response.json() except requests.RequestException as e: print(f”HTTP request failed: e}”) return None except json.JSONDecodeError as e: print(f”Failed to decode JSON: e}”) return None except 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.”)

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