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Python使用Flask实现进度条 Python异步处理返回进度——使用Flask实现进度条

XerCis   2022-05-10 我要评论
想了解Python异步处理返回进度——使用Flask实现进度条的相关内容吗,XerCis在本文为您仔细讲解Python使用Flask实现进度条的相关知识和一些Code实例,欢迎阅读和指正,我们先划重点:Python异步处理,异步处理返回进度,Flask进度条,下面大家一起来学习吧。

使用Flask实现进度条

问题描述

Python异步处理,新起一个进程返回处理进度

解决方案

使用 tqdm 和 multiprocessing.Pool

安装

pip install tqdm

代码

import time
import threading
from multiprocessing import Pool
from tqdm import tqdm
def do_work(x):
    time.sleep(x)
    return x
def progress():
    time.sleep(3)  # 3秒后查进度
    print(f'任务有: {pbar.total} 已完成:{pbar.n}')
tasks = range(10)
pbar = tqdm(total=len(tasks))
if __name__ == '__main__':
    thread = threading.Thread(target=progress)
    thread.start()
    results = []
    with Pool(processes=5) as pool:
        for result in pool.imap_unordered(do_work, tasks):
            results.append(result)
            pbar.update(1)
    print(results)

效果

Flask

安装

pip install flask

main.py

import time
from multiprocessing import Pool
from tqdm import tqdm
from flask import Flask, make_response, jsonify
app = Flask(__name__)
def do_work(x):
    time.sleep(x)
    return x
total = 5  # 总任务数
tasks = range(total)
pbar = tqdm(total=len(tasks))
@app.route('/run/')
def run():
    """执行任务"""
    results = []
    with Pool(processes=2) as pool:
        for _result in pool.imap_unordered(do_work, tasks):
            results.append(_result)
            if pbar.n >= total:
                pbar.n = 0  # 重置
            pbar.update(1)
    response = make_response(jsonify(dict(results=results)))
    response.headers.add('Access-Control-Allow-Origin', '*')
    response.headers.add('Access-Control-Allow-Headers', '*')
    response.headers.add('Access-Control-Allow-Methods', '*')
    return response
@app.route('/progress/')
def progress():
    """查看进度"""
    response = make_response(jsonify(dict(n=pbar.n, total=pbar.total)))
    response.headers.add('Access-Control-Allow-Origin', '*')
    response.headers.add('Access-Control-Allow-Headers', '*')
    response.headers.add('Access-Control-Allow-Methods', '*')
    return response

启动(以 Windows 为例)

set FLASK_APP=main
flask run

接口列表

  • 执行任务:http://127.0.0.1:5000/run/
  • 查看进度:http://127.0.0.1:5000/progress/

test.html

<!DOCTYPE html>
<html lang="zh">
<head>
    <meta charset="UTF-8">
    <title>进度条</title>
    <script src="https://cdn.bootcss.com/jquery/3.0.0/jquery.min.js"></script>
    <script src="https://cdn.bootcdn.net/ajax/libs/twitter-bootstrap/3.3.7/js/bootstrap.min.js"></script>
    <link href="https://cdn.bootcdn.net/ajax/libs/twitter-bootstrap/3.3.7/css/bootstrap.min.css" rel="external nofollow"  rel="stylesheet">
</head>
<body>
<button id="run">执行任务</button>
<br><br>
<div class="progress">
    <div class="progress-bar" role="progressbar" aria-valuenow="1" aria-valuemin="0" aria-valuemax="100"
         style="width: 10%">0.00%
    </div>
</div>
</body>
<script>
    function set_progress_rate(n, total) {
        //设置进度
        var rate = (n / total * 100).toFixed(2);
        if (n > 0) {
            $(".progress-bar").attr("aria-valuenow", n);
            $(".progress-bar").attr("aria-valuemax", total);
            $(".progress-bar").text(rate + "%");
            $(".progress-bar").css("width", rate + "%");
        }
    }
    $("#run").click(function () {
        //执行任务
        $.ajax({
            url: "http://127.0.0.1:5000/run/",
            type: "GET",
            success: function (response) {
                set_progress_rate(100, 100);
                console.log('执行完成,结果为:' + response['results']);
            }
        });
    });
    setInterval(function () {
        //每1秒请求一次进度
        $.ajax({
            url: "http://127.0.0.1:5000/progress/",
            type: "GET",
            success: function (response) {
                console.log(response);
                var n = response["n"];
                var total = response["total"];
                set_progress_rate(n, total);
            }
        });
    }, 1000);
</script>
</html>

效果

Flask使用简单异步任务

在Flask中使用简单异步任务最简洁优雅的原生实现:

from flask import Flask
from time import sleep
from concurrent.futures import ThreadPoolExecutor
# DOCS https://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.ThreadPoolExecutor
executor = ThreadPoolExecutor(2)
app = Flask(__name__)
@app.route('/jobs')
def run_jobs():
    executor.submit(some_long_task1)
    executor.submit(some_long_task2, 'hello', 123)
    return 'Two jobs was launched in background!'
def some_long_task1():
    print("Task #1 started!")
    sleep(10)
    print("Task #1 is done!")
def some_long_task2(arg1, arg2):
    print("Task #2 started with args: %s %s!" % (arg1, arg2))
    sleep(5)
    print("Task #2 is done!")
if __name__ == '__main__':
    app.run()

以上为个人经验,希望能给大家一个参考,也希望大家多多支持。


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