Contributing

This file will guide you through the process of getting to project up and running, in case you want to provide coding contributions.

You will also see how to ensure the code fulfills the expected code checks, and how to create a pull request.

System dependencies

The project provides all its dependencies as docker containers through a docker-compose configuration.

Because of this, the only actual dependencies are docker and docker-compose.

Setting up the project

The first thing you need to do is fork the repository, and clone it in your local machine.

Then you will have to follow these steps:

Copy all files with .local.php.dist extension from config/autoload by removing the dist extension.

For example the common.local.php.dist file should be copied as common.local.php.
Copy the file docker-compose.override.yml.dist by also removing the dist extension.
Start-up the project by running docker-compose up.

The first time this command is run, it will create several containers that are used during development, so it may take some time.

It will also create some empty databases and install the project dependencies with composer.
Run ./indocker bin/cli db:create to create the initial database.
Run ./indocker bin/cli db:migrate to get database migrations up to date.
Run ./indocker bin/cli api-key:generate to get your first API key generated.

Once you finish this, you will have the project exposed in ports 8000 through nginx+php-fpm and 8080 through swoole.

Note: The indocker shell script is a helper tool used to run commands inside the main docker container.

Project structure

This project is structured as a modular application, using laminas/laminas-config-aggregator to merge the configuration provided by every module.

All modules are inside the module folder, and each one has its own src, test and config folders, with the source code, tests and configuration. They also have their own ConfigProvider class, which is consumed by the config aggregator.

This is a simplified version of the project structure:

shlink
├── bin
│   ├── cli
│   ├── install
│   └── update
├── config
│   ├── autoload
│   ├── params
│   ├── config.php
│   └── container.php
├── data
│   ├── cache
│   ├── locks
│   ├── log
│   ├── migrations
│   └── proxies
├── docs
│   ├── adr
│   ├── async-api
│   └── swagger
├── module
│   ├── CLI
│   ├── Core
│   └── Rest
├── public
├── composer.json
└── README.md

The purposes of every folder are:

bin: It contains the CLI tools. The cli one is the main entry point to run shlink from the command line, while install and update are helper tools used to install and update shlink when not using the docker image.
config: Contains application-wide configurations, which are later merged with the ones provided by every module.
data: Common runtime-generated git-ignored assets, like logs, caches, etc.
docs: Any project documentation is stored here, like API spec definitions or architectural decision records.
module: Contains a subfolder for every module in the project. Modules contain the source code, tests and configurations for every context in the project.
public: Few assets (like favicon.ico or robots.txt) and the web entry point are stored here. This web entry point is not used when serving the app with swoole.

Project tests

In order to ensure stability and no regressions are introduced while developing new features, this project has different types of tests.

Unit tests: These are the simplest to run, and usually test individual pieces of code, replacing any external dependency by mocks.

The code coverage of unit tests is pretty high, and only components which work closer to the database, like entity repositories, are excluded because of their nature.
Database tests: These are integration tests that run against a real database, and only cover components which work closer to the database.

Its purpose is to verify all the database queries behave as expected and return what's expected.

The project provides some tooling to run them against any of the supported database engines.
API tests: These are E2E tests that spin up an instance of the app and test it from the outside, by interacting with the REST API.

These are the best tests to catch regressions, and to verify everything behaves as expected.

They use MySQL as the database engine, and include some fixtures that ensure the same data exists at the beginning of the execution.
CLI tests: TBD. Once included, its purpose will be the same as API tests, but running through the command line

Depending on the kind of contribution, maybe not all kinds of tests are needed, but the more you provide, the better.

Running code checks

Run ./indocker composer cs to check coding styles are fulfilled.
Run ./indocker composer cs:fix to fix coding styles (some may not be fixable from the CLI)
Run ./indocker composer stan to statically analyze the code with phpstan. This tool is the closest to "compile" PHP and verify everything would work as expected.
Run ./indocker composer test:unit to run the unit tests.
Run ./indocker composer test:db to run the database integration tests.

This command runs the same test suite against all supported database engines in parallel. If you just want to run one of them, you can add one of :sqlite, :mysql, :maria, :postgres, :mssql at the end of the command.

For example, test:db:postgres.
Run ./indocker composer test:api to run API E2E tests. For these, the MySQL database engine is used.
Run ./indocker composer infect:test ti run both unit and database tests (over sqlite) and then apply mutations to them with infection.
Run ./indocker composer ci to run all previous commands together. This command is run during the project's continuous integration.
Run ./indocker composer ci:parallel to do the same as in previous case, but parallelizing non-conflicting tasks as much as possible.

Note: Due to some limitations in the tooling used by shlink, the testing databases need to exist beforehand, both for db and api tests (except sqlite).

However, they just need to be created empty, with no tables. Also, once created, they are automatically reset before every new execution.

The testing database is always called shlink_test. You can create it using the database client of your choice. DBeaver is a good multi-platform desktop database client which supports all the engines supported by shlink.

Pull request process

Important!: Before starting to work on a pull request, make sure you always open an issue first.

This is important because any contribution needs to be discussed first. Maybe there's someone else already working on something similar, or there are other considerations to have in mind.

Once everything is clear, to provide a pull request to this project, you should always start by creating a new branch, where you will make all desired changes.

The base branch should always be develop, and the target branch for the pull request should also be develop.

Before your branch can be merged, all the checks described in Running code checks have to be passing. You can verify that manually by running ./indocker composer ci:parallel, or wait for the build to be run automatically after the pull request is created.

Architectural Decision Records

The project includes logs for some architectural decisions, using the adr proposal.

If you are curious or want to understand why something has been built in some specific way, take a look at them.

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