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CONTRIBUTING.md

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Contributing to aptly

👍🎉 First off, thanks for taking the time to contribute! 🎉👍

The following is a set of guidelines for contributing to aptly and related repositories, which are hosted in the aptly-dev Organization on GitHub. These are just guidelines, not rules. Use your best judgment, and feel free to propose changes to this document in a pull request.

What should I know before I get started?

Code of Conduct

This project adheres to the Contributor Covenant code of conduct. By participating, you are expected to uphold this code. Please report unacceptable behavior to team@aptly.info.

List of Repositories

How Can I Contribute?

Reporting Bugs

  1. Please search for similar bug report in issue tracker
  2. Please verify that bug is not fixed in latest aptly nightly (download information)
  3. Steps to reproduce increases chances for bug to be fixed quickly. If possible, submit PR with new functional test which fails.
  4. If bug is reproducible with specific package, please provide link to package file.
  5. Open issue at GitHub

Suggesting Enhancements

  1. Please search issue tracker for similar feature requests.
  2. Describe why enhancement is important to you.
  3. Include any additional details or implementation details.

Improving Documentation

There are two kinds of documentation:

Core content is mostly the same, but website contains more information, tutorials, examples.

If you want to update man page, please open PR to main aptly repo, details in man page section.

If you want to update website, please follow steps below:

  1. Install hugo
  2. Fork website source and clone it
  3. Launch hugo in development mode: hugo -w server
  4. Navigate to http://localhost:1313/: you should see aptly website
  5. Update documentation, most of the time editing Markdown is all you need.
  6. Page in browser should reload automatically as you make changes to source files.

We're always looking for new contributions to FAQ, tutorials, general fixes, clarifications, misspellings, grammar mistakes!

Your First Code Contribution

Please follow next section on development process. When change is ready, please submit PR following PR template.

Make sure that purpose of your change is clear, all the tests and checks pass, and all new code is covered with tests if that is possible.

Development Setup

This section describes local setup to start contributing to aptly source.

Go & Python

You would need Go (latest version is recommended) and Python 2.7.x (3.x is not supported yet).

If you're new to Go, follow getting started guide to install it and perform initial setup. With Go 1.8+, default $GOPATH is $HOME/go, so rest of this document assumes that.

Usually $GOPATH/bin is appended to your $PATH to make it easier to run built binaries, but you might choose to prepend it or to skip this test if you're security conscious.

Forking and Cloning

As aptly is using Go modules, aptly repository could be cloned to any location on the file system:

git clone git@github.com:aptly-dev/aptly.git
cd aptly

For main repo under your GitHub user and add it as another Git remote:

git remote add <user> git@github.com:<user>/aptly.git

That way you can continue to build project as is (you don't need to adjust import paths), but you would need to specify your remote name when pushing branches:

git push <user> <your-branch>

Dependencies

You would need some additional tools and Python virtual environment to run tests and checks, install them with:

make prepare dev system/env

This is usually one-time action.

Aptly is using Go modules to manage dependencies, download modules using:

make modules

Building

If you want to build aptly binary from your current source tree, run:

make install

This would build aptly in $GOPATH/bin, so depending on your $PATH, you should be able to run it immediately with:

aptly

Or, if it's not on your path:

~/go/bin/aptly

Unit-tests

aptly has two kinds of tests: unit-tests and functional (system) tests. Functional tests are preferred way to test any feature, but some features are much easier to test with unit-tests (e.g. algorithms, failure scenarios, ...)

aptly is using standard Go unit-test infrastructure plus gocheck. Run the unit-tests with:

make test

Functional Tests

Functional tests are implemented in Python, and they use custom test runner which is similar to Python unit-test runner. Most of the tests start with clean aptly state, run some aptly commands to prepare environment, and finally run some aptly commands capturing output, exit code, checking any additional files being created and so on. API tests are a bit different, as they re-use same aptly process serving API requests.

The easiest way to run functional tests is to use make:

make system-test

This would check all the dependencies and run all the tests. Some tests (S3, Swift) require access credentials to be set up in the environment. For example, it needs AWS credentials to run S3 tests (they would be used to publish to S3). If credentials are missing, tests would be skipped.

You can also run subset of tests manually:

system/run.py t04_mirror

This would run all the mirroring tests under system/t04_mirror folder.

Or you can run tests by test name mask:

system/run.py UpdateMirror*

Or, you can run specific test by name:

system/run.py UpdateMirror7Test

Test runner can update expected output instead of failing on mismatch (this is especially useful while working on new tests):

system/run.py --capture <test>

Output for some tests might contain environment-specific things, e.g. your home directory. In that case you can use ${HOME} and similar variable expansion in expected output files.

Some tests depend on fixtures, for example pre-populated GPG trusted keys. There are also test fixtures captured after mirror update which contain pre-build aptly database and pool contents. They're useful if you don't want to waste time in the test on populating aptly database while you need some packages to work with. There are some packages available under system/files/ directory which are used to build contents of local repos.

WARNING: tests are running under current $HOME directory with aptly default settings, so they clear completely ~/.aptly.conf and ~/.aptly subdirectory between the runs. So it's not wise to have non-dev aptly being used with this default location. You can run aptly under different user or by using non-default config location with non-default aptly root directory.

Style Checks

Style checks could be run with:

make check

aptly is using golangci-lint to run style checks on Go code. Configuration for the linter could be found in .golangci.yml file.

Python code (system tests) are linted with flake8 tool.

Vendored Code

aptly is using Go vendoring for all the libraries aptly depends upon. vendor/ directory is checked into the source repository to avoid any problems if source repositories go away. Go build process will automatically prefer vendored packages over packages in $GOPATH.

If you want to update vendored dependencies or to introduce new dependency, use dep tool. Usually all you need is dep ensure or dep ensure -update.

man Page

aptly is using combination of Go templates and automatically generated text to build aptly.1 man page. If either source template man/aptly.1.ronn.tmpl is changed or any command help is changed, run make man to regenerate final rendered man page man/aptly.1. In the end of the build, new man page is displayed for visual verification.

Man page is built with small helper _man/gen.go which pulls in template, command-line help from cmd/ folder and runs that through forked copy of ronn.

Bash and Zsh Completion

Bash and Zsh completion for aptly reside in the same repo under in completion.d/aptly and completion.d/_aptly, respectively. It's all hand-crafted. When new option or command is introduced, bash completion should be updated to reflect that change.

When aptly package is being built, it automatically pulls bash completion and man page into the package.

Design

This section requires future work.

TBD

Database

Package Pool

Package

PackageList, PackageRefList

LocalRepo, RemoteRepo, Snapshot

PublishedRepository

Context

Collections, CollectionFactory