本文整理汇总了Python中celery.signals.task_postrun.connect方法的典型用法代码示例。如果您正苦于以下问题：Python task_postrun.connect方法的具体用法？Python task_postrun.connect怎么用？Python task_postrun.connect使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类celery.signals.task_postrun的用法示例。
在下文中一共展示了task_postrun.connect方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from celery.signals import task_postrun [as 别名]
# 或者: from celery.signals.task_postrun import connect [as 别名]
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
task_prerun.connect(self.on_task_start)
task_postrun.connect(self.on_start_end) 示例2: init_app
# 需要导入模块: from celery.signals import task_postrun [as 别名]
# 或者: from celery.signals.task_postrun import connect [as 别名]
def init_app(self, app):
self.app = app
new_celery = celery.Celery(
app.import_name,
broker=app.config["CELERY_BROKER_URL"],
backend=app.config["CELERY_RESULT_BACKEND"],
)
# XXX(dcramer): why the hell am I wasting time trying to make Celery work?
self.celery.__dict__.update(vars(new_celery))
self.celery.conf.update(app.config)
worker_process_init.connect(self._worker_process_init)
task_postrun.connect(self._task_postrun)
task_prerun.connect(self._task_prerun) 示例3: install
# 需要导入模块: from celery.signals import task_postrun [as 别名]
# 或者: from celery.signals.task_postrun import connect [as 别名]
def install(app=None):
if app is not None:
copy_configuration(app)
installed = scout_apm.core.install()
if not installed:
return
before_task_publish.connect(before_task_publish_callback)
task_prerun.connect(task_prerun_callback)
task_postrun.connect(task_postrun_callback) 示例4: create_app
# 需要导入模块: from celery.signals import task_postrun [as 别名]
# 或者: from celery.signals.task_postrun import connect [as 别名]
def create_app(config):
""" Create a fully configured Celery application object.
Args:
config (Config): A reference to a lightflow configuration object.
Returns:
Celery: A fully configured Celery application object.
"""
# configure the celery logging system with the lightflow settings
setup_logging.connect(partial(_initialize_logging, config), weak=False)
task_postrun.connect(partial(_cleanup_workflow, config), weak=False)
# patch Celery to use cloudpickle instead of pickle for serialisation
patch_celery()
# create the main celery app and load the configuration
app = Celery('lightflow')
app.conf.update(**config.celery)
# overwrite user supplied settings to make sure celery works with lightflow
app.conf.update(
task_serializer='pickle',
accept_content=['pickle'],
result_serializer='pickle',
task_default_queue=DefaultJobQueueName.Task
)
if isinstance(app.conf.include, list):
app.conf.include.extend(LIGHTFLOW_INCLUDE)
else:
if len(app.conf.include) > 0:
raise ConfigOverwriteError(
'The content in the include config will be overwritten')
app.conf.include = LIGHTFLOW_INCLUDE
return app