docs/opensource/project/test-and-docs.md

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---
description: Describes Docker's testing infrastructure
keywords: make test, make docs, Go tests, gofmt, contributing, running tests
title: Run tests and test documentation
---
Contributing includes testing your changes. If you change the Docker code, you
may need to add a new test or modify an existing one. Your contribution could
even be adding tests to Docker. For this reason, you need to know a little
about Docker's test infrastructure.
Many contributors contribute documentation only. Or, a contributor makes a code
contribution that changes how Docker behaves and that change needs
documentation. For these reasons, you also need to know how to build, view, and
test the Docker documentation.
This section describes tests you can run in the `dry-run-test` branch of your Docker
fork. If you have followed along in this guide, you already have this branch.
If you don't have this branch, you can create it or simply use another of your
branches.
## Understand testing at Docker
Docker tests use the Go language's test framework. In this framework, files
whose names end in `_test.go` contain test code; you'll find test files like
this throughout the Docker repo. Use these files for inspiration when writing
your own tests. For information on Go's test framework, see <a
href="http://golang.org/pkg/testing/" target="_blank">Go's testing package
documentation</a> and the <a href="http://golang.org/cmd/go/#hdr-Test_packages"
target="_blank">go test help</a>.
You are responsible for _unit testing_ your contribution when you add new or
change existing Docker code. A unit test is a piece of code that invokes a
single, small piece of code (_unit of work_) to verify the unit works as
expected.
Depending on your contribution, you may need to add _integration tests_. These
are tests that combine two or more work units into one component. These work
units each have unit tests and then, together, integration tests that test the
interface between the components. The `integration` and `integration-cli`
directories in the Docker repository contain integration test code.
Testing is its own specialty. If you aren't familiar with testing techniques,
there is a lot of information available to you on the Web. For now, you should
understand that, the Docker maintainers may ask you to write a new test or
change an existing one.
## Run tests on your local host
Before submitting a pull request with a code change, you should run the entire
Docker Engine test suite. The `Makefile` contains a target for the entire test
suite, named `test`. Also, it contains several targets for
testing:
| Target | What this target does |
| ---------------------- | ---------------------------------------------- |
| `test` | Run the unit, integration, and docker-py tests |
| `test-unit` | Run just the unit tests |
| `test-integration-cli` | Run the integration tests for the CLI |
| `test-docker-py` | Run the tests for the Docker API client |
Running the entire test suite on your current repository can take over half an
hour. To run the test suite, do the following:
1. Open a terminal on your local host.
2. Change to the root of your Docker repository.
```bash
$ cd docker-fork
```
3. Make sure you are in your development branch.
```bash
$ git checkout dry-run-test
```
4. Run the `make test` command.
```bash
$ make test
```
This command does several things, it creates a container temporarily for
testing. Inside that container, the `make`:
* creates a new binary
* cross-compiles all the binaries for the various operating systems
* runs all the tests in the system
It can take approximate one hour to run all the tests. The time depends
on your host performance. The default timeout is 60 minutes, which is
defined in `hack/make.sh` (`${TIMEOUT:=60m}`). You can modify the timeout
value on the basis of your host performance. When they complete
successfully, you see the output concludes with something like this:
```none
Ran 68 tests in 79.135s
```
## Run targets inside a development container
If you are working inside a Docker development container, you use the
`hack/make.sh` script to run tests. The `hack/make.sh` script doesn't
have a single target that runs all the tests. Instead, you provide a single
command line with multiple targets that does the same thing.
Try this now.
1. Open a terminal and change to the `docker-fork` root.
2. Start a Docker development image.
If you are following along with this guide, you should have a
`dry-run-test` image.
```bash
$ docker run --privileged --rm -ti -v `pwd`:/go/src/github.com/moby/moby dry-run-test /bin/bash
```
3. Run the tests using the `hack/make.sh` script.
```bash
root@5f8630b873fe:/go/src/github.com/moby/moby# hack/make.sh dynbinary binary cross test-unit test-integration-cli test-docker-py
```
The tests run just as they did within your local host.
Of course, you can also run a subset of these targets too. For example, to run
just the unit tests:
```bash
root@5f8630b873fe:/go/src/github.com/moby/moby# hack/make.sh dynbinary binary cross test-unit
```
Most test targets require that you build these precursor targets first:
`dynbinary binary cross`
## Run unit tests
We use golang standard [testing](https://golang.org/pkg/testing/)
package or [gocheck](https://labix.org/gocheck) for our unit tests.
You can use the `TESTDIRS` environment variable to run unit tests for
a single package.
```bash
$ TESTDIRS='opts' make test-unit
```
You can also use the `TESTFLAGS` environment variable to run a single test. The
flag's value is passed as arguments to the `go test` command. For example, from
your local host you can run the `TestBuild` test with this command:
```bash
$ TESTFLAGS='-test.run ^TestValidateIPAddress$' make test-unit
```
On unit tests, it's better to use `TESTFLAGS` in combination with
`TESTDIRS` to make it quicker to run a specific test.
```bash
$ TESTDIRS='opts' TESTFLAGS='-test.run ^TestValidateIPAddress$' make test-unit
```
## Run integration tests
We use [gocheck](https://labix.org/gocheck) for our integration-cli tests.
You can use the `TESTFLAGS` environment variable to run a single test. The
flag's value is passed as arguments to the `go test` command. For example, from
your local host you can run the `TestBuild` test with this command:
```bash
$ TESTFLAGS='-check.f DockerSuite.TestBuild*' make test-integration-cli
```
To run the same test inside your Docker development container, you do this:
```bash
root@5f8630b873fe:/go/src/github.com/moby/moby# TESTFLAGS='-check.f TestBuild*' hack/make.sh binary test-integration-cli
```
## Test the Windows binary against a Linux daemon
This explains how to test the Windows binary on a Windows machine set up as a
development environment. The tests will be run against a docker daemon
running on a remote Linux machine. You'll use **Git Bash** that came with the
Git for Windows installation. **Git Bash**, just as it sounds, allows you to
run a Bash terminal on Windows.
1. If you don't have one open already, start a Git Bash terminal.
![Git Bash](images/git_bash.png)
2. Change to the `docker` source directory.
```bash
$ cd /c/gopath/src/github.com/moby/moby
```
3. Set `DOCKER_REMOTE_DAEMON` as follows:
```bash
$ export DOCKER_REMOTE_DAEMON=1
```
4. Set `DOCKER_TEST_HOST` to the `tcp://IP_ADDRESS:2376` value; substitute your
Linux machines actual IP address. For example:
```bash
$ export DOCKER_TEST_HOST=tcp://213.124.23.200:2376
```
5. Make the binary and run the tests:
```bash
$ hack/make.sh binary test-integration-cli
```
Some tests are skipped on Windows for various reasons. You can see which
tests were skipped by re-running the make and passing in the
`TESTFLAGS='-test.v'` value. For example
```bash
$ TESTFLAGS='-test.v' hack/make.sh binary test-integration-cli
```
Should you wish to run a single test such as one with the name
'TestExample', you can pass in `TESTFLAGS='-check.f TestExample'`. For
example
```bash
$ TESTFLAGS='-check.f TestExample' hack/make.sh binary test-integration-cli
```
You can now choose to make changes to the Docker source or the tests. If you
make any changes, just run these commands again.
## Build and test the documentation
The Docker documentation source files are in a centralized repository at
[https://github.com/moby/moby.github.io](https://github.com/moby/moby.github.io). The content is
written using extended Markdown, which you can edit in a plain text editor such as
Atom or Notepad. The docs are built using [Jekyll](https://jekyllrb.com/).
Most documentation is developed in the centralized repository. The exceptions are
a project's API and CLI references and man pages, which are developed alongside
the project's code and periodically imported into the documentation repository.
Always check your documentation for grammar and spelling. You can use
an online grammar checker such as [Hemingway Editor](http://www.hemingwayapp.com/) or a spelling or
grammar checker built into your text editor. If you spot spelling or grammar errors,
fixing them is one of the easiest ways to get started contributing to opensource
projects.
When you change a documentation source file, you should test your change
locally to make sure your content is there and any links work correctly. You
can build the documentation from the local host.
### Building the docs for docs.docker.com
You can build the docs using a Docker container or by using Jekyll directly.
Using the Docker container requires no set-up but is slower. Using Jekyll
directly requires you to install some prerequisites, but is faster on each build.
#### Using Docker Compose
The easiest way to build the docs locally on macOS, Windows, or Linux is to use
`docker-compose`. If you have not yet installed `docker-compose`,
[follow these installation instructions](/compose/install/).
In the root of the repository, issue the following command:
```bash
$ docker-compose up
```
This command will create and start service `docs` defined in `docker-compose.yml`,
which will build an image named `docs/docstage` and launch a container with Jekyll and all its dependencies configured
correctly. The container uses Jekyll to incrementally build and serve the site using the
files in the local repository.
Go to `http://localhost:4000/` in your web browser to view the documentation.
The container runs in the foreground. It will continue to run and incrementally build the site when changes are
detected, even if you change branches.
To stop the container, use `CTRL+C`.
To start the container again, use the following command:
```bash
$ docker-compose start docs
```
#### Using Jekyll directly
If for some reason you are unable to use Docker Compose, you can use Jekyll directly.
**Prerequisites:**
- You need a recent version of Ruby installed. If you are on macOS, install Ruby
and Bundle using homebrew.
```bash
brew install ruby
brew install bundle
```
- Use `bundle` to install Jekyll and its dependencies from the bundle in the
centralized documentation repository. Within your clone of the
[https://github.com/moby/moby.github.io](https://github.com/moby/moby.github.io)
repository, issue the following command:
```bash
bundle install
```
**To build the website locally:**
1. Issue the `jekyll serve` command. This will build
the static website and serve it in a small web server on port 4000. If it
fails, examine and fix the errors and run the command again.
2. You can keep making changes to the Markdown files in another terminal
window, and Jekyll will detect the changes and rebuild the relevant HTML
pages automatically.
3. To stop the web server, issue `CTRL+C`.
To serve the website using Github Pages on your fork, first
[enable Github Pages in your fork](https://pages.github.com/) or rename your fork
to `<YOUR_GITHUB_USERNAME>.github.io`, then push your
feature branch to your fork's Github Pages branch, which is `gh-pages` or `master`,
depending on whether you manually enabled Github Pages or renamed your fork.
Within a few minutes, the site will be available on your Github Pages URL.
Review your documentation changes on the local or Github Pages site. When you
are satisfied with your changes, submit your pull request.
### Reviewing the reference docs for your project
Some projects, such as Docker Engine, maintain reference documents, such as man
pages, CLI command references, and API endpoint references. These files are
maintained within each project and periodically imported into the centralized
documentation repository. If you change the behavior of a command or endpoint,
including changing the help text, be sure that the associated reference
documentation is updated as part of your pull request.
These reference documents are usually under the `docs/reference/` directory or
the `man/` directory. The best way to review them is to push the changes to
your fork and view the Markdown files in Github. The style will not match with
docs.docker.com, but you will be able to preview the changes.
## Where to go next
Congratulations, you have successfully completed the basics you need to
understand the Docker test framework. In the next steps, you use what you have
learned so far to [contribute to Docker by working on an
issue](../workflow/make-a-contribution.md).