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VVV provides easy to integrate validation and linting tools to prevent bad stuff committed in your software project
Python Other
branch: master

Merge pull request #17 from akheron/patch-1

Fix typos in README.rst
latest commit 9e13df0704
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demo Fixed the running of demo and put in better instructions. Handle miss…
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vvv Merge remote-tracking branch 'matejc/zptlint'
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.travis.yml
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README.rst Fix typos in README.rst
setup.cfg Updated buildout installation instructions for vvv - now Py2 compatible
setup.py Added -alwaysfailure option for ghetto-ci
validation-files.yaml Don't walk *.pyc files
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README.rst

VVV - validation and linting integrator

VVV is a tool for easy validation and linting integration for your software project containing multiple kinds of files. It integrates with version control and prevents committing files containing bad formatting or syntax errors.

An example use case would be a web project containing HTML, CSS, Javascript and backend programming language files: with VVV you can check with a single command all files conform the policy you set.

Usage

Example output from validating the demo repository where we find errors in a Python and a CSS file. You enter the folder and run vvv against the current folder (.)

$ vvv .
Running vvv against .
/Users/moo/code/vvv/demo/demo.py validation output:
************* Module demo
E0602:  1,9: Undefined variable 'get_magic'

W3C CSS Validator results for file:/Users/moo/code/vvv/demo/foobar.css

Line : 2 .foo
       Property backgrnd doesn't exist :
       yellow

Installation

VVV is written in Python programming language and is compatible with Python interpreter 2.7 or later, including 3.x series.

Installation instructions for Windows - Linux - OSX.

Benefits

  • Enforce coding conventions across multiple developers
  • Enable linting and validators support for your software project with a single command
  • Automatically guide committers to policy guidelines and let them fix errors themselves, instead of having post-commit personal coaching.
  • Provide sane default validation and linting options for all popular programming languages and file formats
  • Run VVV as continuous integration service with systems like Travis CI or Jenkins and shoot down bad code push-ins

What VVV doesn't do

  • This is not automated testing tool. We just scan files against a policy, not for programming errors. Linting tools tend to pick up programming errors, too though, like mistyped names.

Features

  • Set-up for your software repository with two files validation-options.yaml (configuration) and validation-files.yaml (whitelist/blacklist)
  • VVV automatically downloads and locally installs required software - you don't need to spend time hunting downloads or distribution packages
  • Check file against hard tabs and whitespace policies - no more different tab width ever
  • Prevent committing hard source code breakpoints, like Python's import pdb ; pdb.set_trace()
  • Support (on its way) for Subversion, Git, Github, Travis CI, Jenkins and other popular version control and continuous integration systems

Documentation and code

Please see the VVV documentation.

Source code is available on Github. Please use Github issue tracker to contact the authors.

Explore different linting and validators available.

Continuous integration status

Current trunk continuous integration status with Travis CI

https://secure.travis-ci.org/miohtama/vvv.png

Author

Mikko Ohtamaa (blog, Twitter)

Please use Github issue tracker to contact the authors in the project related matters.

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