Curl 在RESTful路径中触发芹菜任务
我想为我的Curl 在RESTful路径中触发芹菜任务,curl,flask,docker-compose,celery,flower,Curl,Flask,Docker Compose,Celery,Flower,我想为我的芹菜任务设置一条路线并监控它们 这是我在运行于localhost:5000的flask应用程序中的代码 background.py 任务: @celery.task(queue='cache') def cache_user_tracks_with_features(): return {'status': 'Task completed!'} @task_bp.route('/filter', methods=['GET', 'POST']) def cache_user
芹菜
任务设置一条路线并监控它们
这是我在运行于
localhost:5000的flask
应用程序中的代码
background.py
任务:
@celery.task(queue='cache')
def cache_user_tracks_with_features():
return {'status': 'Task completed!'}
@task_bp.route('/filter', methods=['GET', 'POST'])
def cache_user_with_features():
# task
task = cache_user_tracks_with_features.apply_async()
while not task.ready():
sleep(2)
response_object = {
'status': 'fail',
'message': 'User does not exist'
}
try:
user = User.query.filter_by(id=1)).first()
if not user:
return jsonify(response_object), 404
else:
response_object = {
'status': 'success',
'data': {
'task_id': task.id,
'username': user.username,
'email': user.email,
'active': user.active
}
}
return jsonify(response_object), 200
except ValueError:
return jsonify(response_object), 404
路线:
@celery.task(queue='cache')
def cache_user_tracks_with_features():
return {'status': 'Task completed!'}
@task_bp.route('/filter', methods=['GET', 'POST'])
def cache_user_with_features():
# task
task = cache_user_tracks_with_features.apply_async()
while not task.ready():
sleep(2)
response_object = {
'status': 'fail',
'message': 'User does not exist'
}
try:
user = User.query.filter_by(id=1)).first()
if not user:
return jsonify(response_object), 404
else:
response_object = {
'status': 'success',
'data': {
'task_id': task.id,
'username': user.username,
'email': user.email,
'active': user.active
}
}
return jsonify(response_object), 200
except ValueError:
return jsonify(response_object), 404
触发尝试
我试图在终端使用CURL
测试它,如下所示:
$ curl -X POST http://localhost:5001/filter -H "Content-Type: application/json"
但要么我从服务器得到curl:(52)空回复,要么它就挂起了。如果我从函数中删除task
,并从curl POST
中删除,我会得到:
{
"data": {
"active": true,
"email": "me@mac.com",
"username": "me"
},
"status": "success"
}
Docker
日志告诉我:
nginx_1 | 172.21.0.1 - - [03/Apr/2019:22:26:41 +0000] "GET /manifest.json HTTP/1.1" 304 0 "http://localhost/filter" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36" "-"
web-db_1 | 2019-04-01 19:52:52.415 UTC [1] LOG: background worker "logical replication launcher" (PID 25) exited with exit code 1
celery_1 | worker: Warm shutdown (MainProcess)
celery_1 |
celery_1 | -------------- celery@fb24d4bd2089 v4.2.1 (windowlicker)
celery_1 | ---- **** -----
celery_1 | --- * *** * -- Linux-4.9.125-linuxkit-x86_64-with 2019-04-06 21:34:38
celery_1 | -- * - **** ---
celery_1 | - ** ---------- [config]
celery_1 | - ** ---------- .> app: project:0x7f9923d8a9e8
celery_1 | - ** ---------- .> transport: redis://redis:6379/0
celery_1 | - ** ---------- .> results: redis://redis:6379/0
celery_1 | - *** --- * --- .> concurrency: 2 (prefork)
celery_1 | -- ******* ---- .> task events: OFF (enable -E to monitor tasks in this worker)
celery_1 | --- ***** -----
celery_1 | -------------- [queues]
celery_1 | .> cache exchange=cache(direct) key=cache
celery_1 |
celery_1 |
celery_1 | [tasks]
celery_1 | . project.api.routes.background.cache_user_tracks_with_analysis
celery_1 | . project.api.routes.background.cache_user_tracks_with_features
这就是我在我的docker compose
文件中配置芹菜和Flower
(芹菜监控)的方式:
docker-compose-dev.yml
web/logs/芹菜\u log
Flower
在仪表板上显示处于活动状态的工人:
芹菜实例化
问题
我错过了什么?如何触发此芹菜任务并对其进行监控?我不知道到底是什么问题(似乎没问题)。。。有几种方法(就像芹菜一样——有很多方法可以实现目标)来实现你想要做的事情:
1) 使用apply_async()和轮询完成执行。比如:
res = cache_user_tracks_with_features.apply_async("""parameters here""")
while not res.ready():
sleep(2)
# business logic
2) 使用apply_async()并链接到作业完成后要执行的任务
res = cache_user_tracks_with_features.apply_async(
"""parameters here""",
link=task_to_run_when_finished)
芹菜也有link_error参数,所以如果发生错误,您可以给它一个要执行的函数
3) 使用芹菜工作流。制作一个包含缓存的链\u用户\u使用\u功能跟踪\u,并执行其他任务
或者可能是完全不同的东西给您带来麻烦…问题出在config.py
:
REDIS_HOST = "0.0.0.0"
REDIS_PORT = 6379
BROKER_URL = os.environ.get('REDIS_URL', "redis://{host}:{port}/0".format(
host=REDIS_HOST,
port=str(REDIS_PORT)))
INSTALLED_APPS = ['routes']
# celery config
CELERYD_CONCURRENCY = 10
CELERY_BROKER_URL = BROKER_URL #<-------- THIS WAS OVERRIDING
只需将cellery\u BROKER\u URL
设置为redis://redis:6379/0
在config.py
中以及在docker环境中
解决了这个问题:任务现在由worker拾取,流程由flower监控。我尝试了解决方案1),使用了一个简化的虚拟任务(请参阅编辑),而且它不适用于curl
POST
。它只是挂着。如果我从response\u object
中删除task=cache\u user\u tracks\u和\u features.apply\u async()
和'task\u id':task.id
,它将返回object。所以任务仍然有问题。@dejanlekic.delay
不会在后台轮询它只是调用apply\u async
()更方便的方法。你可能把delay
和Task搞混了。get
你完全正确。我不知怎么把它和。get()搞混了!感谢您指出这一点。您如何实例化芹菜应用程序对象?请参阅编辑,带有芹菜实例化和config.py
。您的评论为我指明了正确的方向,我解决了问题。但我无法让我的代表回答我自己的问题。因此,如果你希望对方给出类似的回答,请随意,你会得到赏金的。之后我会删除我的答案。好的回答。:)是的,这样的问题时不时地在到处蔓延。。。
res = cache_user_tracks_with_features.apply_async(
"""parameters here""",
link=task_to_run_when_finished)
REDIS_HOST = "0.0.0.0"
REDIS_PORT = 6379
BROKER_URL = os.environ.get('REDIS_URL', "redis://{host}:{port}/0".format(
host=REDIS_HOST,
port=str(REDIS_PORT)))
INSTALLED_APPS = ['routes']
# celery config
CELERYD_CONCURRENCY = 10
CELERY_BROKER_URL = BROKER_URL #<-------- THIS WAS OVERRIDING
environment:
- CELERY_BROKER=redis://redis:6379/0 #<------- THIS WAS BEING OVERRIDEN
- CELERY_RESULT_BACKEND=redis://redis:6379/0