Welcome to Rabbit Hole’s documentation!

Contents:

Rabbit Hole

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Store messages from an AMQP server into a SQL database

Features

  • Get messages from multiple AMQP exchanges
  • Group messages in batches
  • Write message batches to a SQL database

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

Installation

Stable release

To install Rabbit Hole, run this command in your terminal:

$ pip install rabbithole

This is the preferred method to install Rabbit Hole, as it will always install the most recent stable release.

If you don’t have pip installed, this Python installation guide can guide you through the process.

From sources

The sources for Rabbit Hole can be downloaded from the Github repo.

You can either clone the public repository:

$ git clone git://github.com/jcollado/rabbithole

Or download the tarball:

$ curl  -OL https://github.com/jcollado/rabbithole/tarball/master

Once you have a copy of the source, you can install it with:

$ python setup.py install

Usage

CLI

Rabbit Hole is a command line tool that has been written as a lightweight alternative to logstash for the specific use case in which the input is an amqp server and the output is a SQL database.

It can be executed from the command line like this:

$ rabbithole config.yml

where config.yml is a YAML configuration file. For example:

size_limit: 5
time_limit: 15
blocks:
  - name: input
      type: amqp
      kwargs:
        url: 'ampq://username:password@localhost:5672'
  - name: output
      type: sql
      kwargs:
        url: 'postgres://username:password@localhost:5432/db_name'
flows:
  - - name: input
      kwargs:
        exchange: logs
        exchange_type: fanout
        durable: true
    - name: output
      kwargs:
        query:
          INSERT INTO logs (timestamp, message)
          VALUES (CAST (:timestamp AS TIMESTAMP), :message)
        parameters:
          timestamp: timestamp
          message: message.text
  - - name: input
      kwargs:
        exchange: events
        exchange_type: fanout
        durable: true
    - name: output
      kwargs:
        query:
          INSERT INTO events (timestamp, message)
          VALUES (CAST (:timestamp AS TIMESTAMP), :message)
        parameters:
          timestamp: timestamp
          message: message.text
where:
  • size_limit: batcher size limit
  • time_limit: batcher size limit
  • blocks: list of building blocks to use in the flows
  • flows: list of blocks connected to transfer information information

Blocks

A block rabbithole is the name of the little piece that can be added to a flow to receive/send messages as needed to build the desired flow of information. There are currently three different kinds of blocks:

input

an input block is a block that receives a messages from an external source, such as an amqp server, and transfers them as they are received to the next block in the flow.

batchers

rabbithole uses the concept of batchers that is also used in logstash. A batcher is just an in-memory queue whose goal is to output data more efficiently by writing multiple messages at once. It keeps messages in memory until its capacity has been filled up or until a time limit is exceeded. Both parameters can be set in the configuration file.

Batchers are automatically added between blocks in a flow, so there’s no need to include them explicitly in the configuration file.

output

an output block is a block that receives messages from the previous block and sends them to an external output such as a database.

Flow

A flow is a sequence of blocks that are connected to transfer information from the initial input block to the final output one.

Available blocks

The following blocks are available in rabbithole.

amqp

ampq is an input flow that can receive data from amqp servers.

blocks:
  - name: input
      type: amqp
      kwargs:
        url: 'ampq://username:password@localhost:5672'

flows:
  - - name: input
      kwargs:
        exchange: logs
        exchange_type: fanout
        durable: true
where:

sql

sql is an output flow that can write data to SQL databases.

blocks:
  - name: output
      type: sql
      kwargs:
        url: 'postgres://username:password@localhost:5432/db_name'
flows:
  - - name: output
      kwargs:
        query:
          INSERT INTO logs (timestamp, message)
          VALUES (CAST (:timestamp AS TIMESTAMP), :message)
        parameters:
          timestamp: timestamp
          message: message.text
where:
  • url is the database connection string.
  • query is the query to execute when a message is received in a given flow.
  • parameters is an optional mapping from the message received to the object pased to the query (useful when the message contains nested data since nesting is not supported in query parameters).

Contributing

Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.

You can contribute in many ways:

Types of Contributions

Report Bugs

Report bugs at https://github.com/jcollado/rabbithole/issues.

If you are reporting a bug, please include:

  • Your operating system name and version.
  • Any details about your local setup that might be helpful in troubleshooting.
  • Detailed steps to reproduce the bug.

Fix Bugs

Look through the GitHub issues for bugs. Anything tagged with “bug” and “help wanted” is open to whoever wants to implement it.

Implement Features

Look through the GitHub issues for features. Anything tagged with “enhancement” and “help wanted” is open to whoever wants to implement it.

Write Documentation

Rabbit Hole could always use more documentation, whether as part of the official Rabbit Hole docs, in docstrings, or even on the web in blog posts, articles, and such.

Submit Feedback

The best way to send feedback is to file an issue at https://github.com/jcollado/rabbithole/issues.

If you are proposing a feature:

  • Explain in detail how it would work.
  • Keep the scope as narrow as possible, to make it easier to implement.
  • Remember that this is a volunteer-driven project, and that contributions are welcome :)

Get Started!

Ready to contribute? Here’s how to set up rabbithole for local development.

  1. Fork the rabbithole repo on GitHub.

  2. Clone your fork locally:

    $ git clone git@github.com:your_name_here/rabbithole.git
    
  3. Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:

    $ mkvirtualenv rabbithole
    $ cd rabbithole/
    $ python setup.py develop
    
  4. Create a branch for local development:

    $ git checkout -b name-of-your-bugfix-or-feature
    

    Now you can make your changes locally.

  5. When you’re done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:

    $ flake8 rabbithole tests
    $ python setup.py test or py.test
    $ tox
    

    To get flake8 and tox, just pip install them into your virtualenv.

  6. Commit your changes and push your branch to GitHub:

    $ git add .
    $ git commit -m "Your detailed description of your changes."
    $ git push origin name-of-your-bugfix-or-feature
    
  7. Submit a pull request through the GitHub website.

Pull Request Guidelines

Before you submit a pull request, check that it meets these guidelines:

  1. The pull request should include tests.
  2. If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
  3. The pull request should work for Python 2.7 and 3.5. Check https://travis-ci.org/jcollado/rabbithole/pull_requests and make sure that the tests pass for all supported Python versions.

Tips

To run a subset of tests:

$ python -m unittest tests.test_rabbithole

Credits

Development Lead

Contributors

None yet. Why not be the first?

History

0.1.0 (2016-11-25)

  • First release on PyPI.

0.2.0 (2016-11-28)

  • Make batcher size/time limit configurable.
  • Added test cases and documentation.

0.3.0 (2017-05-04)

  • Added new flexible configuration format based on the blocks and flows concept.
  • Added query parameters support to SQL block.
  • Update AMQP block to use a connnection URL instead of just the server address.

Indices and tables