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rq-dashboard is a general purpose, lightweight, web interface to monitor your RQ queues, jobs, and workers in realtime.

Project description

Introduction

rq-dashboard is a general purpose, lightweight, Flask-based web front-end to monitor your RQ queues, jobs, and workers in realtime.

Build Status Python Support PyPI Downloads

Maturity notes

The RQ dashboard is currently being developed and is in beta stage.

Installing with Docker

You can also run the dashboard inside of docker:

$ docker pull eoranged/rq-dashboard
$ docker run -p 9181:9181 eoranged/rq-dashboard

and you can then run the image. You can pass additional options using environment variables with prefix RQ_DASHBOARD_*:

- RQ_DASHBOARD_REDIS_URL=redis://<redis:6379>
- RQ_DASHBOARD_USERNAME=rq
- RQ_DASHBOARD_PASSWORD=password

See more info on how to pass environment variables in Docker documentation

Installing from PyPI

$ pip install rq-dashboard

Running the dashboard

Run the dashboard standalone, like this:

$ rq-dashboard
* Running on http://127.0.0.1:9181/
...
$ rq-dashboard --help
Usage: rq-dashboard [OPTIONS]

  Run the RQ Dashboard Flask server.

  All configuration can be set on the command line or through environment
  variables of the form RQ_DASHBOARD_*. For example RQ_DASHBOARD_USERNAME.

  A subset of the configuration (the configuration parameters used by the
  underlying flask blueprint) can also be provided in a Python module
  referenced using --config, or with a .cfg file referenced by the
  RQ_DASHBOARD_SETTINGS environment variable.

Options:
  -b, --bind TEXT                 IP or hostname on which to bind HTTP server
  -p, --port INTEGER              Port on which to bind HTTP server
  --url-prefix TEXT               URL prefix e.g. for use behind a reverse
                                  proxy
  --username TEXT                 HTTP Basic Auth username (not used if not
                                  set)
  --password TEXT                 HTTP Basic Auth password
  -c, --config TEXT               Configuration file (Python module on search
                                  path)
  -H, --redis-host TEXT           IP address or hostname of Redis server
  -P, --redis-port INTEGER        Port of Redis server
  --redis-password TEXT           Password for Redis server
  -D, --redis-database INTEGER    Database of Redis server
  -u, --redis-url TEXT            Redis URL connection (overrides other
                                  individual settings)
  --redis-sentinels TEXT          List of redis sentinels. Each should be
                                  formatted: <host>:<port>
  --redis-master-name TEXT        Name of redis master. Only needed when using
                                  sentinels
  --poll-interval, --interval INTEGER
                                  Refresh interval in ms
  --extra-path TEXT               Append specified directories to sys.path
  --web-background TEXT           Background of the web interface
  --delete-jobs TEXT              Delete jobs instead of cancel
  --debug / --normal              Enter DEBUG mode
  -v, --verbose                   Enable verbose logging
  --help                          Show this message and exit.

Integrating the dashboard in your Flask app

The dashboard can be integrated in to your own Flask app by accessing the blueprint directly in the normal way, e.g.:

from flask import Flask
import rq_dashboard

app = Flask(__name__)
app.config.from_object(rq_dashboard.default_settings)
app.register_blueprint(rq_dashboard.blueprint, url_prefix="/rq")

@app.route("/")
def hello():
    return "Hello World!"

if __name__ == "__main__":
    app.run()

If you start the Flask app on the default port, you can access the dashboard at http://localhost:5000/rq. The cli.py:main entry point provides a simple working example.

Running on Heroku

Consider using rq-dashboard-on-heroku, which installs rq-dashboard from PyPI and wraps in in Gunicorn for deployment to Heroku. rq-dashboard-on-heroku is maintained indepdently.

Developing

Develop in a virtualenv and make sure you have all the necessary build time (and run time) dependencies with

$ pip install -r requirements.txt

Develop in the normal way with

$ python setup.py develop

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