This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description

rq-scheduler-dashboard is a copy of rq-scheduler-dashboard for rq-scheduler jobs, based on the code from this PR:


$ pip install rq-scheduler-dashboard

Running the dashboard

Run the dashboard standalone, like this:

$ rq-scheduler-dashboard
* Running on
$ rq-scheduler-dashboard --help
Usage: rq-scheduler-dashboard [OPTIONS]

  Run the RQ Scheduler Dashboard Flask server.

  All configuration can be set on the command line or through environment

  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

  -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
  -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)
  --interval INTEGER            Refresh interval in ms
  --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

app = Flask(__name__)

def hello():
    return "Hello World!"

if __name__ == "__main__":

The entry point provides a simple working example.


We use piptools to keep our development dependencies up to date

$ pip install --upgrade pip
$ pip install git+

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

$ pip-compile --annotate

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 develop

Then use Fabric to perform various development tasks. For example, to tag, build and upload to testpypi

$ git tag 0.3.5   # no 'v' prefix or anything
$ fab build
$ fab upload

This requires write access to both the GitHub repo and to the PyPI test site.

See fab -l for more options and fab -d <subcommand> for details.

Maturity notes

The RQ Scheduler Dashboard is currently being developed and is in beta stage.

Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
rq-scheduler-dashboard-0.0.1.tar.gz (92.6 kB) Copy SHA256 Checksum SHA256 Source Apr 26, 2016

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