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595e9b25ba
Co-authored-by: jyong <jyong@dify.ai>
62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
from datetime import timedelta
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from celery import Task, Celery
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from flask import Flask
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def init_app(app: Flask) -> Celery:
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class FlaskTask(Task):
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def __call__(self, *args: object, **kwargs: object) -> object:
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with app.app_context():
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return self.run(*args, **kwargs)
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celery_app = Celery(
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app.name,
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task_cls=FlaskTask,
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broker=app.config["CELERY_BROKER_URL"],
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backend=app.config["CELERY_BACKEND"],
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task_ignore_result=True,
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)
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# Add SSL options to the Celery configuration
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ssl_options = {
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"ssl_cert_reqs": None,
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"ssl_ca_certs": None,
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"ssl_certfile": None,
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"ssl_keyfile": None,
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}
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celery_app.conf.update(
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result_backend=app.config["CELERY_RESULT_BACKEND"],
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)
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if app.config["BROKER_USE_SSL"]:
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celery_app.conf.update(
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broker_use_ssl=ssl_options, # Add the SSL options to the broker configuration
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)
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celery_app.set_default()
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app.extensions["celery"] = celery_app
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imports = [
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"schedule.clean_embedding_cache_task",
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"schedule.clean_unused_datasets_task",
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]
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beat_schedule = {
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'clean_embedding_cache_task': {
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'task': 'schedule.clean_embedding_cache_task.clean_embedding_cache_task',
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'schedule': timedelta(minutes=1),
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},
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'clean_unused_datasets_task': {
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'task': 'schedule.clean_unused_datasets_task.clean_unused_datasets_task',
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'schedule': timedelta(minutes=10),
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}
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}
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celery_app.conf.update(
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beat_schedule=beat_schedule,
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imports=imports
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)
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return celery_app
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