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        "author": "Kevin LaFlamme",
        "author_email": "laflamme.kevin@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Information Technology",
            "Intended Audience :: Science/Research",
            "Intended Audience :: System Administrators",
            "License :: OSI Approved :: BSD License",
            "Operating System :: MacOS",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Topic :: Internet",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: System :: Distributed Computing",
            "Topic :: System :: Monitoring",
            "Topic :: System :: Systems Administration"
        ],
        "description": "Introduction\n============\n\n``rq-scheduler-dashboard`` is a copy of rq-dashboard for rq-scheduler jobs,\nbased on the code from this PR: https://github.com/ducu/rq-dashboard/pull/95.\nThis just wraps the code from @helenst into a separate package.\n\nIt looks like this\n------------------\n\n|image1|\n\nInstalling\n----------\n\n.. code:: console\n\n    $ pip install rq-scheduler-dashboard\n\n\nRunning the dashboard\n---------------------\n\nRun the dashboard standalone, like this:\n\n.. code:: console\n\n    $ rq-scheduler-dashboard\n    * Running on http://127.0.0.1:9181/\n    ...\n\n\n.. code:: console\n\n    $ rq-scheduler-dashboard --help\n    Usage: rq-scheduler-dashboard [OPTIONS]\n\n      Run the RQ Scheduler Dashboard Flask server.\n\n      All configuration can be set on the command line or through environment\n      variables of the form RQ_SCHEDULER_DASHBOARD_*. For example RQ_SCHEDULER_DASHBOARD_USERNAME.\n\n      A subset of the configuration (the configuration parameters used by the\n      underlying flask blueprint) can also be provided in a Python module\n      referenced using --config, or with a .cfg file referenced by the\n      RQ_SCHEDULER_DASHBOARD_SETTINGS environment variable.\n\n    Options:\n      -b, --bind TEXT               IP or hostname on which to bind HTTP server\n      -p, --port INTEGER            Port on which to bind HTTP server\n      --url-prefix TEXT             URL prefix e.g. for use behind a reverse proxy\n      --username TEXT               HTTP Basic Auth username (not used if not set)\n      --password TEXT               HTTP Basic Auth password\n      -c, --config TEXT             Configuration file (Python module on search\n                                    path)\n      -H, --redis-host TEXT         IP address or hostname of Redis server\n      -P, --redis-port INTEGER      Port of Redis server\n      --redis-password TEXT         Password for Redis server\n      -D, --redis-database INTEGER  Database of Redis server\n      -u, --redis-url TEXT          Redis URL connection (overrides other\n                                    individual settings)\n      --interval INTEGER            Refresh interval in ms\n      --help                        Show this message and exit.\n\n\nIntegrating the dashboard in your Flask app\n-------------------------------------------\n\nThe dashboard can be integrated in to your own `Flask`_ app by accessing the\nblueprint directly in the normal way, e.g.:\n\n.. code:: python\n\n    from flask import Flask\n    import RQ_SCHEDULER_DASHBOARD\n\n    app = Flask(__name__)\n    app.config.from_object(RQ_SCHEDULER_DASHBOARD.default_settings)\n    app.register_blueprint(RQ_SCHEDULER_DASHBOARD.blueprint)\n\n    @app.route(\"/\")\n    def hello():\n        return \"Hello World!\"\n\n    if __name__ == \"__main__\":\n        app.run()\n\n\nThe ``cli.py:main`` entry point provides a simple working example.\n\n\nDeveloping\n----------\n\nWe use piptools_ to keep our development dependencies up to date\n\n::\n\n    $ pip install --upgrade pip\n    $ pip install git+https://github.com/nvie/pip-tools.git@future\n\nNow make changes to the ``requirements.in`` file, and resolve all the\n2nd-level dependencies into ``requirements.txt`` like so:\n\n::\n\n    $ pip-compile --annotate requirements.in\n\n\nDevelop in a virtualenv and make sure you have all the necessary build time (and\nrun time) dependencies with\n\n::\n\n    $ pip install -r requirements.txt\n\n\nDevelop in the normal way with\n\n::\n\n    $ python setup.py develop\n\n\nThen use Fabric to perform various development tasks. For example, to tag, build\nand upload to testpypi\n\n::\n\n    $ git tag 0.3.5   # no 'v' prefix or anything\n    $ fab build\n    $ fab upload\n\nThis requires write access to both the GitHub repo and to the PyPI test site.\n\nSee ``fab -l`` for more options and ``fab -d <subcommand>`` for details.\n\n\nMaturity notes\n--------------\n\nThe RQ Scheduler Dashboard is currently being developed and is in beta stage.\n\n\n.. _piptools: https://github.com/nvie/pip-tools\n.. _Flask: http://flask.pocoo.org/\n.. _RQ: http://python-rq.org/\n\n.. |image1| image:: https://cloud.githubusercontent.com/assets/3680882/14828693/129cd2f2-0bb6-11e6-9adf-dd635aa81334.png\n",
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        "license": "BSD",
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        "summary": "rq-scheduler-dashboard is a copy of rq-dashboard for rq-scheduler jobs, based on the code from this PR: https://github.com/ducu/rq-dashboard/pull/95",
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