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Anton Shestakov <av6@dwimlabs.net>, Wed, 26 Oct 2016 18:42:45 +0800
viewer: add <link type="alternate"> element for atom feed

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README.rst

Permissions: -rw-r--r--

Other formats: Feeds:
.. image:: https://candolint.dwimlabs.net/bitbucket.org/av6/candolint/status.svg
:target: https://candolint.dwimlabs.net/bitbucket.org/av6/candolint
:alt: Lint Status
License
=======
MIT.
Entry points
============
- checker.py - command line tool for running a single check
- incoming.py - command line tool for parsing a single check result
- viewer.py - web interface for looking at projects and check results
..
- hooks-queue.py - web service for handling events from code hosting sites
- poll-hgweb-queue.py - long-lived HTTP client for polling changes in hgweb
instances (because they don't have defined events API)
- incoming-queue.py - long-lived process for receiving and parsing check
results
- worker-queue.py - long-lived worker process for running checks on events
..
- run-tests.py - test runner, see bitbucket-pipelines.yml for some useful
arguments
Project configuration
=====================
Here's an example similar to *candolint.yml* of this project itself:
.. code:: yaml
# bootstrapping data, optional
url: https://bitbucket.org/av6/candolint
scm: hg
# linter config, required
linters:
- name: flake8
vars:
python_version: 2
include:
- '**.py'
- name: yamllint
include:
- '**.yaml'
- '**.yml'
- name: jshint
flags: ['--extract', 'always']
include:
- '**.html'
Bootstrapping data
------------------
This is the two most basic things needed to check out project source code: its
URL and SCM.
If you use push hooks or polling, this data is already present in the payload.
You only need to put it in *projects/<name>.yml* file on the worker if you want
to run checks manually (e.g. for testing).
Linter configuration
--------------------
This is the list of linters to run on project source code. Each item only
requires two parameters:
- ``name``: determines what configuration file from *linters/\*.yml* will be
used (often named after the actual executable)
- ``include``: a sequence of file patterns for checking
Optional parameters include:
- ``vars``: variables used for installing and running linters (e.g.
``python_version``)
- ``codes``: allowed exit codes (by default ``0`` and ``1`` are allowed); note
that this is only for the actual checking, so if *linter --version* exits
with code ``1``, it's considered a failure
- ``exclude``: a sequence of file patterns to exclude from checks
- ``flags``: additional command line flags passed to the linter (before passing
file path)
- ``post_flags``: like ``flags``, but passed after file path
The exact base command executed for each linter is specified in
*linters/\*.yml* and cannot be modified in project configuration file, see the
next section.
Base linter configuration
=========================
Every linter needs to be configured via *linters/\*.yml* file. Some files are
already there, they are used to check various projects, including this one
itself. Here's what they look like:
.. code:: yaml
vars:
python_version: 2
setup:
- ['virtualenv', '--python=python%(python_version)s', '../venv%(python_version)s']
- ['../venv%(python_version)s/bin/pip', 'install', 'flake8', 'pep8-naming']
exec: ['../venv%(python_version)s/bin/flake8']
version: ['--version']
Required parameters:
- ``exec``: a list of strings that will be fed to Python's ``subprocess.Popen``
for running this linter
- ``version``: a list of strings that will be used as command line flags for
testing that this linter works after installation
Optional parameters:
- ``setup``: a list of commands (as lists of strings), each will be executed
consecutively to install this linter
- ``vars``: default values for variables, these can be tweaked in project
configuration file