celeryviz 0.0.4

A UI centric tool for visualising Celery task execution.

CeleryViz

A UI centric tool for visualising Celery task execution.

Live Demo

This project simplifies debugging of asynchronous Celery tasks by offering a visual representation of the task execution flow. Instead of combing through the log files, developers can use Celeryviz to visually trace and debug task processes more efficiently.

Installation

1. Python library

pip install celeryviz

2. Docker image

docker pull bhavyatech/celeryviz:0.0.3

Run the example

• To test the example, you can use the provided Docker Compose setup. This will set up a Redis server, a Celery worker, and the CeleryViz server.

cd example
docker-compose up --build

(This may take a few minutes to build the first time.)

Usage

1. Create a celery project.

• Use this gist for a minimal example.

curl https://gist.githubusercontent.com/bhavya-tech/d937ef45905720014ee12fe332352966/raw/0afac784adfb6b407fa83ce4b19e6f3cab4d80d9/example_app.py -o example_app.py

2. Start the celery worker:

• Ensure a message broker is running (can use RabbitMQ for simplicity)

• Schedule a task for celery to run:

celery -A example_app call example_app.add --args='[1, 100]' --kwargs='{"z":10000}'

• Run the celery worker.

celery -A example_app worker -l info -E

3. Start the CeleryViz server:

3.1 Using docker image

There are two ways to run celeryviz:

1. Pass the broker url

docker run -p 9095:9095 bhavyatech/celeryviz:0.0.3 celery --broker='<broker_url>' celeryviz

2. Use the configuration of celery application.

docker run -p 9095:9095 -v $PWD:/app bhavyatech/celeryviz:0.0.3 celery -A example_app.app celeryviz

3.2 Using the installed celeryviz python library

• In a new terminal, run the following command:

celery -A example_app celeryviz

4. Connect to the server:

• Open your browser and go to http://localhost:9095/app/

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Reporting violations

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