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Hirefire

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

Install / Use

/learn @ryanhiebert/Hirefire
About this skill

Quality Score

0/100

Supported Platforms

Universal

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/<HIREFIRE_TOKEN>/info

where <HIREFIRE_TOKEN> 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/<HIREFIRE_TOKEN>/info

where <HIREFIRE_TOKEN> 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/<HIREFIRE_TOKEN>/info

where <HIREFIRE_TOKEN> needs to be replaced with your token or -- in case you haven't set the token as an environment variable -- just use development.

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GitHub Stars33
CategoryDevelopment
Updated1y ago
Forks21

Languages

Python

Security Score

60/100

Audited on Nov 28, 2024

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