在Flask中,stream_with_context函数提供了一种处理实时流内容的方法,它允许你发送数据到前端,并保持上下文不变。这对于需要实时更新数据的应用程序非常有用,例如实时股票交易、聊天应用等。要使用stream_with_context,你需要了解其工作原理和用法。以下是一个简单的示例代码,展示了如何使用stream_with_context实现实时流内...
time.sleep(1) # 显式刷新输出 yield" "*1024+"\n\n" @app.route('/stream') defstream(): returnResponse(stream_with_context(generate_data()), mimetype='text/event-stream') if__name__ =='__main__': app.run(debug=True)
flask实现Streaming内容传输 当传输大量内存,以至于超出内存大小,一般http服务器会报500错误,这时可以使用Streaming流的方式来传输内容,类似ChatGPT和视频流那样的输出方式,flask里要用到生成器和直接响应。 from flask import stream_with_context, request @app.route('/stream') def streamed_response(): def generat...
2.1 使用 Flask 的 stream_with_context() 函数 Flask 提供了一个 stream_with_context() 函数,可以将一个生成器对象转换为一个 Response 对象。生成器对象可以逐块生成数据,这样就可以避免一次性将整个文件加载到内存中。 以下代码展示了一个使用 stream_with_context() 函数的示例: 代码语言:javascript 代码运行...
from flask import Flask, Response, stream_with_context app = Flask(__name__) @app.route('/stream', methods=['GET']) def stream(): def generate(): for i in range(1, 21): print(i) yield f'This is item {i}\n' # 生成流数据 ...
如果是单节点转发流式请求,我们可以通过 flask 的stream_with_context实现: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 from flaskimport ( Flask, Response, stream_with_context ) import requests app = Flask(__name__) @app.route("/download/<file_path>", method=["GET"]) ...
用flask框架写一个流式接口from flask import Flask, Response, stream_with_context app = Flask(__name__) @app.route('/api/stream') def progress(): def generate(): for ratio in range(10): yield …
Note that when you stream data, the request context is already gone the moment the function executes. Flask 0.9 provides you with a helper that can keep the request context around during the execution of the generator: fromflaskimportstream_with_context,request,Response@app.route('/stream')def...
route('/stream') def streamed_response(): def generate(): yield 'Hello ' yield escape(request.args['name']) yield '!' return stream_with_context(generate()) It can also be used as a decorator. @stream_with_context def generate(): ... return generate() The stream_template() ...
Teardown functions are always run at the end of the request, even if the context is preserved. They are also run after the preserved context is popped. stream_with_context preserves context separately from a with client block. It will be cleaned up when response.get_data() or response.clos...