1. 目的
曾經想向前臺實時返回Celery任務的狀態監控,也檢視了很多部落格,但是好多也沒能如願,因此基於網上已有的部落格已經自己的嘗試,寫了一個小的demo,實現前臺實時獲取後臺傳輸的任務狀態。
2. 準備
本篇文章使用的是Flask框架,安裝celery,celery採用redis作為儲存。同時用到了Flask-SocketIO建立websocket。同時還用到了協程庫eventlet(這個是Flask-SocketIO文件建議的,連結文件)。
3. 實現
demo仿照其他例子實現了一個簡單的後臺任務監控。我們直接上程式碼吧,下面是server端程式碼:
# -*- utf-8 -*-
# app.py
import time
import uuid
from flask import Flask, render_template, request, make_response, jsonify
from flask_socketio import SocketIO
from celery import Celery
import eventlet
from flask_redis import FlaskRedis
eventlet.monkey_patch()
app = Flask(__name__)
app.config[`BROKER_URL`] = `redis://localhost:6379/0`
app.config[`CELERY_RESULT_BACKEND`] = `redis://localhost:6379/0`
app.config[`CELERY_ACCEPT_CONTENT`] = [`json`, `pickle`]
app.config[`REDIS_URL`] = `redis://localhost:6379/0`
socketio = SocketIO(app, async_mode=`eventlet`,message_queue=app.config[`CELERY_RESULT_BACKEND`])
redis = FlaskRedis(app)
celery = Celery(app.name)
celery.conf.update(app.config)
#模擬後臺耗時任務
@celery.task
def background_task(uid):
sid = redis.get(uid)
socketio.emit(`info`, {`data`: `Task starting ...`, `time`: time.time() * 1000 },room=sid, namespace=`/task`)
socketio.sleep(4)
socketio.emit(`info`, {`data`: `Task running!`, `time`: time.time() * 1000 }, room=sid, namespace=`/task`)
socketio.sleep(5)
socketio.emit(`info`, {`data`: `Task complete!`, `time`: time.time()*1000 }, room=sid, namespace=`/task`)
#建立連結時把sid傳到瀏覽器端儲存。
@socketio.on(`connect`, namespace=`/task`)
def connect_host():
sid = request.sid
socketio.emit(`hostadd`, {`sid`: sid}, room=sid, namespace=`/task`)
#將每一個客戶端生成一個uuid存放在cookie中
@app.route(`/`)
def index():
if not request.cookies.get(`host_uid`, None):
uid = uuid.uuid1().get_hex()
response = make_response(render_template(`index.html`))
response.set_cookie(`host_uid`, uid)
return response
return render_template(`index.html`)
@app.route(`/task`)
def start_background_task():
uid = request.cookies.get(`host_uid`)
background_task.delay(uid)
return `Started`
#設定sid建立連結後瀏覽器將sid傳送到server,並將uid與sid對映存放在redis裡面,預設保留12小時
@app.route(`/setsid`, methods=[`POST`])
def set_uid():
data = request.json
uid = request.cookies.get(`host_uid`)
redis.set(uid, data[`sid`])
redis.expire(uid, 3600 * 12)
return jsonify({`success`: True})
if __name__ == `__main__`:
socketio.run(app, host=`0.0.0.0`, port=5000, debug=True)
如果不想使用debug模式的話,可以用gunicorn執行,命令如下所示:
gunicorn --worker-class eventlet -w 1 app:app
使用上述命令需要注意,由於gunicorn負載均衡演算法的限制,文件建議worker數量為1,我測試過大於1,確實會出問題。
前端程式碼如下,index.html:
<!DOCTYPE html>
<html>
<head>
<title>test</title>
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.2.4/jquery.min.js"></script>
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/socket.io/2.1.0/socket.io.js"></script>
</head>
<body>
<h3>Logging</h3>
<p id="log"></p>
<button id="background">Execute</button>
<script type="text/javascript">
$(document).ready(function () {
namespace = `/task`;
socket = io.connect(`http://` + document.domain + `:` + location.port + namespace);
socket.on(`hostadd`, function(msg){
console.log(msg.sid);
$.ajax({
url: "{{ url_for(`set_uid`) }}",
data: JSON.stringify({ sid: msg.sid }),
type: `post`,
dataType: `json`,
contentType: "application/json; charset=utf-8"
})
});
socket.on(`info`, function (msg) {
console.log(`Recived: ` + msg.data);
var t = new Date(msg.time);
$(`#log`).append(`Recived: ` + t.toLocaleTimeString() + `->` + msg.data + `<br>`);
});
$(`#background`).on(`click`, function(){
$.get("{{ url_for(`start_background_task`) }}");
});
});
</script>
</body>
</html>
GitHub地址:https://github.com/junfenggoo…