Flask Response生成流式数据api；iter_lines，iter_content遍历区别

1、Flask Response生成流式数据api

注意return与def generate():是同级的

from flask import Flask, Response

app = Flask(__name__)

@app.route('/stream')
def stream_data():
    def generate():
        for i in range(5):
        	time.sleep(1)
            yield f"Data chunk {i}\0"  # 在每个数据块后添加换行符

    return Response(generate(), mimetype='text/plain')

if __name__ == '__main__':
    app.run(debug=True)

2、iter_lines，iter_content遍历区别

iter_lines()方法是按行读取服务器返回的数据流。它会在遇到换行符或指定的分隔符(delimiter=b"\0")时,将数据流分割成多个块
iter_content()方法会在每次读取到指定大小的数据块时就返回该数据块,而不需要等待换行符或特定分隔符

1）iter_lines
服务端：

@app.route('/stream')
def stream_data():
    def generate():
        for i in range(5):
        	time.sleep(1)
            yield f"Data chunk {i}\0"  # 在每个数据块后添加换行符

    return Response(generate(), mimetype='text/plain')

客服端：

import requests

url = 'http://localhost:5000/stream'
response = requests.get(url, stream=True)

for line in response.iter_lines(chunk_size=1024, decode_unicode=False,delimiter=b"\0"):
    if line:
        print(line.decode('utf-8'), end='', flush=True) ##流式打印

2）iter_content

服务端：

@app.route('/stream')
def stream_data():
    def generate():
         for i in range(5):
            time.sleep(1)
            yield f"Data chunk {i}" 

客户端：

import requests

url = 'http://localhost:5000/stream'
response = requests.get(url, stream=True)

for chunk in response.iter_content(chunk_size=10, decode_unicode=True):
    if chunk:
        print(chunk, end='', flush=True)