Skip to content
Flask-based web front-end for monitoring RQ queues
Branch: master
Clone or download
Pull request Compare This branch is 3 commits behind eoranged:master.
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
rq_dashboard
tests
.envrc
.gitignore
.travis.yml
AUTHORS
Dockerfile
LICENSE
MANIFEST.in
Makefile
README.rst
autoexec.sh
fabfile.py
requirements.in
requirements.txt
setup.cfg
setup.py

README.rst

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

It looks like this

image1 image2

Installing

$ 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
  --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.

Developing

We use piptools to keep our development dependencies up to date

$ pip install --upgrade pip
$ pip install pip-tools

Now make changes to the requirements.in file, and resolve all the 2nd-level dependencies into requirements.txt like so:

$ pip-compile --annotate requirements.in

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

Maturity notes

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

Docker

You can also run the dashboard inside of docker, simply build the image with

$ make image

and you can then run the image, possibly modifying it with the following environment variables from their default values

  • REDIS_URL=redis://redis
  • USERNAME=rq
  • PASSWORD=password
You can’t perform that action at this time.