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https://github.com/ryanhiebert/hirefire

A Python lib to integrate with the HireFire service -- The Heroku Proccess Manager.
https://github.com/ryanhiebert/hirefire

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A Python lib to integrate with the HireFire service -- The Heroku Proccess Manager.

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README 

        
HireFire

========



This is a Python package for HireFire_ -- The Heroku_ Process Manager:



.. epigraph::



  HireFire has the ability to automatically scale your web and worker

  dynos up and down when necessary. When new jobs are queued in to your

  application's worker queue [..], HireFire will spin up new worker

  dynos to process these jobs. When the queue is empty, HireFire will

  shut down the worker dynos again so you're not paying for idle

  workers.



  HireFire also has the ability to scale your web dynos. When your web

  application experiences heavy traffic during certain times of the day,

  or if you've been featured somewhere, chances are your application's

  backlog might grow to a point that your web application will run

  dramatically slow, or even worse, it might result in a timeout. In

  order to prevent this, HireFire will automatically scale your web

  dynos up when traffic increases to ensure that your application runs

  fast at all times. When traffic decreases, HireFire will spin down

  your web dynos again.



  -- from the HireFire_ frontpage



It supports the following Python queuing systems as backends:



* Celery_

* HotQueue_

* Huey_

* Queues_

* RQ_



Feel free to `contribute other backends`_ if you're using a different

queuing system.



.. _HireFire: http://hirefire.io/

.. _Heroku: http://www.heroku.com/

.. _Celery: http://celeryproject.com/

.. _HotQueue: http://richardhenry.github.com/hotqueue/

.. _Huey: https://huey.readthedocs.io/

.. _Queues: http://queues.googlecode.com/

.. _RQ: http://python-rq.org/

.. _`contribute other backends`: https://github.com/jezdez/hirefire/



Installation

------------



Install the HireFire package with your favorite installer, e.g.:



.. code-block:: bash



  pip install HireFire



Sign up for `HireFire`_ and set the ``HIREFIRE_TOKEN`` environment variable

with the `Heroku CLI`_ as provided on the specific HireFire `application page`_,

e.g.:



.. code-block:: bash



  heroku config:set HIREFIRE_TOKEN=f69f0c0ddebe041248daf187caa6abb3e5d943ca



Now follow the quickstart guide below and don't forget to tweak the

options in the `HireFire management system`_.



For more help see the Hirefire `documentation`_.



.. _`Heroku CLI`: https://devcenter.heroku.com/articles/heroku-command

.. _`HireFire`: http://hirefire.io/

.. _`HireFire management system`: https://manager.hirefire.io/

.. _documentation: http://hirefire.io/documentation/guides/getting-started



Configuration

-------------



The ``hirefire`` Python package currently supports three frameworks:

Django, Tornado, and Flask_. Implementations for other frameworks are planned

but haven't been worked on: Pyramid_ (PasteDeploy), WSGI_ middleware, ..



Feel free to `contribute one`_ if you can't wait.



The following guides imply you have defined at least one

``hirefire.procs.Proc`` subclass defined matching one of the processes in your

Procfile. For each process you want to monitor you have to have one subclass.



For example here is a ``Procfile`` which uses RQ_ for the "worker" proccess::



  web: python manage.py runserver

  worker: DJANGO_SETTINGS_MODULE=mysite.settings rqworker high default low



Define a ``RQProc`` subclass somewhere in your project, e.g.

``mysite/procs.py``, with the appropriate attributes (``name`` and

``queues``)



.. code-block:: python



    from hirefire.procs.rq import RQProc



    class WorkerProc(RQProc):

        name = 'worker'

        queues = ['high', 'default', 'low']



See the procs API documentation if you're using another backend. Now follow

the framework specific guidelines below.



.. _`contribute one`: https://github.com/ryanhiebert/hirefire/

.. _flask: http://flask.pocoo.org/

.. _Pyramid: http://www.pylonsproject.org/

.. _WSGI: http://www.python.org/dev/peps/pep-3333/



Django

^^^^^^



Setting up HireFire support for Django is easy:



#. Add ``'hirefire.contrib.django.middleware.HireFireMiddleware'`` to your

   ``MIDDLEWARE`` setting



   .. code-block:: python



     # Use ``MIDDLEWARE_CLASSES`` prior to Django 1.10

     MIDDLEWARE = [

         'hirefire.contrib.django.middleware.HireFireMiddleware',

         # ...

     ]



   Make sure it's the first item in the list/tuple.



#. Set the ``HIREFIRE_PROCS`` setting to a list of dotted paths to your

   procs. For the above example proc



   .. code-block:: python



     HIREFIRE_PROCS = ['mysite.procs.WorkerProc']



#. Set the ``HIREFIRE_TOKEN`` setting to the token that HireFire

   shows on the specific `application page`_ (optional)



   .. code-block:: python



     HIREFIRE_TOKEN = 'f69f0c0ddebe041248daf187caa6abb3e5d943ca'



   This is only needed if you haven't set the ``HIREFIRE_TOKEN``

   environment variable already (see the installation section how to

   do that on Heroku).



   .. _`application page`: https://manager.hirefire.io/applications



#. Add ``'hirefire.contrib.django.middleware.QueueTimeMiddleware'`` to your

   ``MIDDLEWARE`` setting to enable HireFire's `support`_ for scaling

   according to Heroku request queue times (optional).



   .. code-block:: python



     # Use ``MIDDLEWARE_CLASSES`` prior to Django 1.10

     MIDDLEWARE = [

         'hirefire.contrib.django.middleware.HireFireMiddleware',

         # ...

     ]



   Make sure to place it before any other item in the list/tuple so that

   request queue time is calculated as accurately as possible.



   .. _`support`: https://help.hirefire.io/article/49-logplex-queue-time



#. Check that the middleware has been correctly setup by opening the

   following URL in a browser::



     http://localhost:8000/hirefire/test



   You should see an empty page with 'HireFire Middleware Found!'.



   You can also have a look at the page that HireFire_ checks to get the

   number of current tasks::



     http://localhost:8000/hirefire//info



   where ```` needs to be replaced with your token or

   -- in case you haven't set the token in your settings or environment

   -- just use ``development``.



Tornado

^^^^^^^



Setting up HireFire support for Tornado is also easy:



#. Use ``hirefire.contrib.tornado.handlers.hirefire_handlers`` when defining

   your ``tornado.web.Application`` instance



   .. code-block:: python



     import os

     from hirefire.contrib.tornado.handlers import hirefire_handlers



     application = tornado.web.Application([

         # .. some patterns and handlers

     ] + hirefire_handlers(os.environ['HIREFIRE_TOKEN'],

                           ['mysite.procs.WorkerProc']))



   Make sure to pass a list of dotted paths to the ``hirefire_handlers``

   function.



#. Set the ``HIREFIRE_TOKEN`` environment variable to the token that HireFire

   shows on the specific `application page`_ (optional)



   .. code-block:: bash



     export HIREFIRE_TOKEN='f69f0c0ddebe041248daf187caa6abb3e5d943ca'



   See the installation section above for how to do that on Heroku.



   .. _`application page`: https://manager.hirefire.io/applications



#. Check that the handlers have been correctly setup by opening the

   following URL in a browser::



     http://localhost:8888/hirefire/test



   You should see an empty page with 'HireFire Middleware Found!'.



   You can also have a look at the page that HireFire_ checks to get the

   number of current tasks::



     http://localhost:8888/hirefire//info



   where ```` needs to be replaced with your token or

   -- in case you haven't set the token as an environment variable

   -- just use ``development``.



Flask

^^^^^



Setting up HireFire support for Flask is (again!) also easy:



#. The module ``hirefire.contrib.flask.blueprint`` provides a

   ``build_hirefire_blueprint`` factory function that should be called with

   HireFire token and procs as arguments. The result is a blueprint providing

   the hirefire routes and which should be registered inside your app



   .. code-block:: python



     import os

     from flask import Flask

     from hirefire.contrib.flask.blueprint import build_hirefire_blueprint



     app = Flask(__name__)

     bp = build_hirefire_blueprint(os.environ['HIREFIRE_TOKEN'],

                                   ['mysite.procs.WorkerProc'])

     app.register_blueprint(bp)



   Make sure to pass a list of dotted paths to the ``build_hirefire_blueprint``

   function.



#. Set the ``HIREFIRE_TOKEN`` environment variable to the token that HireFire

   shows on the specific `application page`_ (optional)



   .. code-block:: bash



     export HIREFIRE_TOKEN='f69f0c0ddebe041248daf187caa6abb3e5d943ca'



   See the installation section above for how to do that on Heroku.



   .. _`application page`: https://manager.hirefire.io/applications



#. Check that the handlers have been correctly setup by opening the

   following URL in a browser::



     http://localhost:8080/hirefire/test



   You should see an empty page with 'HireFire Middleware Found!'.



   You can also have a look at the page that HireFire_ checks to get the

   number of current tasks::



     http://localhost:8080/hirefire//info



   where ```` needs to be replaced with your token or

   -- in case you haven't set the token as an environment variable

   -- just use ``development``.