Question

我正在处理芹菜，并且我正在获取任务状态为待定，可能是实施问题。请检查我的代码。

我正在尝试将任务信息（例如ID，名称，状态）保存在mongodb数据库中，为此，我正在使用一个函数，我的任务将调用该函数以将数据保存在mongodb中。

我是否正在等待任务执行，因为我的函数调用发生在任务的返回语句之前？

settings.py

CELERY_BROKER_URL = 'mongodb://localhost:27017/jobs'
CELERY_RESULT_BACKEND = "mongodb"
CELERY_IGNORE_RESULT = False
CELERY_TRACK_STARTED = True
CELERY_MONGODB_BACKEND_SETTINGS = {
"host": "127.0.0.1",
"port": 27017,
"database": "jobs",
"taskmeta_collection": "my_taskmeta_collection",
}
CELERY_BEAT_SCHEDULE = {
    'add-every-minute-contrab': {
        'task': 'username_length_periodically',
        'schedule': crontab(minute='*/1'),
        #'args' : (2,3),
    },
 }

CELERY_ACCEPT_CONTENT = ['application/json']
CELERY_TASK_SERIALIZER = 'json'
CELERY_RESULT_SERIALIZER = 'json'
CELERY_TIMEZONE = TIME_ZONE

celery.py

from __future__ import absolute_import, unicode_literals
import os, logging
from celery import Celery
from celery.schedules import crontab


# set the default Django settings module for the 'celery' program.
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'RestUserAPI.settings')

app = Celery('UserAPI')

# Using a string here means the worker don't have to serialize
# the configuration object to child processes.
# - namespace='CELERY' means all celery-related configuration keys
#   should have a `CELERY_` prefix.
app.config_from_object('django.conf:settings', namespace='CELERY')

# Load task modules from all registered Django app configs.
app.autodiscover_tasks()

@app.task(bind=True)
def debug_task(self):
    print('Request: {0!r}'.format(self.request))

tasks.py

from __future__ import absolute_import, unicode_literals
from celery import task, current_task, result
from django.conf import settings
import datetime
from .models import TaskMetaData


@task(name='username_length_periodically', bind=True)
def get_username_length_periodically(self):
    last_run = datetime.datetime.now()
    dict = {'name':self.name,
            'id':self.request.id,
            'status':self.AsyncResult(self.request.id).state,
            'last_run': last_run,
            }
    store_metadata(dict)
    return dict


def store_metadata(dict):
    metadata = TaskMetaData()
    metadata.task_id = dict['id']
    metadata.task_name = dict['name']
    metadata.task_status = dict['status']
    metadata.task_last_run = dict['last_run']

    metadata.save()

Answer 1

我认为这只是一个古老的逻辑错误。如果您使用AsyncResult查看呼叫以检查任务状态：

'status':self.AsyncResult(self.request.id).state,

您会注意到，正在运行任务时正在检查任务的状态。这意味着，当您检查任务时，任务将始终显示状态为PENDING（除非已设置track_task_started），因为您始终从任务内部检查任务的状态，然后再不返回并更新状态！

为了更新任务的状态，您应该启动一个单独的监视任务，该任务定期检查任务的状态并将其记录到数据库中，直到任务完成或出现错误为止。例如，

@app.task(name='monitor')
def monitor(task_id):
    result = AsyncResult(task_id)
    if result.state in celery.results.READY_STATES:
        # update metadata table for the task_id
        ...
    else:
        monitor.apply_async(kwargs={ 'task_id': task_id }, countdown=60)

芹菜任务状态显示待定

1 个答案: