python celery flower

title: getting started with python celery flower: a comprehensive tutorial
celery is a distributed task queue library for python that allows you to run tasks asynchronously. celery flower is a real-time web-based monitoring tool for celery clusters. it provides a visually appealing and interactive dashboard to monitor and manage celery tasks.
in this tutorial, we'll guide you through the process of setting up celery flower and demonstrate its usage with a simple python example.
before we begin, make sure you have the following installed:
you can install celery and flower using the following pip commands:
here, we've defined a celery task named add, which simulates a time-consuming operation.
this file configures celery to use rabbitmq as the message broker and rpc as the result backend.
open a terminal and start a celery worker using the following command:
now, in a separate terminal, run the following command to start the celery flower server:
once flower is running, you can monitor your celery tasks through the web interface. the dashboard provides information about active workers, tasks, and their statuses.
run the script using:
observe the changes in the flower dashboard as the task is being processed.
congratulations! you've successfully set up and used celery flower to monitor your celery tasks. feel free to explore additional features and configurations provided by celery and flower to enhance your distributed task processing workflow.
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