- Docker Setup
- GDK Setup
- Linux package Setup
- Develop
- YAML Factories
- Variables
Data Seeder
The Data Seeder is a test data seeding harness, that can seed test data into a user or group namespace.
The Data Seeder uses FactoryBot in the backend which makes maintenance straightforward and future-proof. When a Model changes, FactoryBot already reflects the change.
Docker Setup
With GDK
-
Start a containerized GitLab instance using local files
docker run \ -d \ -p 8080:80 \ --name gitlab \ -v ./scripts/data_seeder:/opt/gitlab/embedded/service/gitlab-rails/scripts/data_seeder \ -v ./ee/db/seeds/data_seeder:/opt/gitlab/embedded/service/gitlab-rails/ee/db/seeds/data_seeder \ -v ./ee/lib/tasks/gitlab/seed:/opt/gitlab/embedded/service/gitlab-rails/ee/lib/tasks/gitlab/seed \ -v ./spec:/opt/gitlab/embedded/service/gitlab-rails/spec \ -v ./ee/spec:/opt/gitlab/embedded/service/gitlab-rails/ee/spec \ gitlab/gitlab-ee:16.9.8-ee.0
-
Globalize test gems
docker exec gitlab bash -c "cd /opt/gitlab/embedded/service/gitlab-rails; ruby scripts/data_seeder/globalize_gems.rb; bundle install"
-
Seed the data
docker exec -it gitlab gitlab-rake "ee:gitlab:seed:data_seeder[beautiful_data.rb]"
Without GDK
Requires Git v2.26.0 or later.
-
Start a containerized GitLab instance
docker run \ -p 8080:80 \ --name gitlab \ -d \ gitlab/gitlab-ee:16.9.8-ee.0
-
Import the test resources
docker exec gitlab bash -c "wget -O - https://gitlab.com/gitlab-org/gitlab/-/raw/master/scripts/data_seeder/test_resources.sh | bash"
# OR check out a specific branch, commit, or tag docker exec gitlab bash -c "wget -O - https://gitlab.com/gitlab-org/gitlab/-/raw/master/scripts/data_seeder/test_resources.sh | REF=v16.7.0-ee bash"
Get the root password
To fetch the password for the GitLab instance that was created, execute the following command and use the password given by the output:
docker exec gitlab cat /etc/gitlab/initial_root_password
cat: /etc/gitlab/initialize_root_password: No such file or directory
,
please wait for a bit for GitLab to boot and try again.You can then sign in to http://localhost:8080/users/sign_in
using the credentials: root / <Password taken from initial_root_password>
Seed the data
IMPORTANT: This step should not be executed until the container has started completely and you are able to see the login page at http://localhost:8080
.
docker exec -it gitlab gitlab-rake "ee:gitlab:seed:data_seeder[beautiful_data.rb]"
GDK Setup
$ gdk start db
ok: run: services/postgresql: (pid n) 0s, normally down
ok: run: services/redis: (pid n) 74s, normally down
$ bundle install
Bundle complete!
$ bundle exec rake db:migrate
main: migrated
ci: migrated
Run
The ee:gitlab:seed:data_seeder
Rake task takes one argument. :file
.
$ bundle exec rake "ee:gitlab:seed:data_seeder[beautiful_data.rb]"
Seeding data for Administrator
....
:file
Where :file
is the file path. (This path reflects relative .rb
, .yml
, or .json
files located in ee/db/seeds/data_seeder
, or absolute paths to seed files.)
Linux package Setup
Requires Git v2.26.0 or later.
-
Change the working directory to the GitLab installation:
cd /opt/gitlab/embedded/service/gitlab-rails
-
Install test resources:
. scripts/data_seeder/test_resources.sh
-
Globalize gems:
/opt/gitlab/embedded/bin/chpst -e /opt/gitlab/etc/gitlab-rails/env /opt/gitlab/embedded/bin/bundle exec ruby scripts/data_seeder/globalize_gems.rb
-
Install bundle:
/opt/gitlab/embedded/bin/chpst -e /opt/gitlab/etc/gitlab-rails/env /opt/gitlab/embedded/bin/bundle
-
Seed the data:
gitlab-rake "ee:gitlab:seed:data_seeder[beautiful_data.rb]"
Develop
The Data Seeder uses FactoryBot definitions from spec/factories
which …
- Saves time on development
- Are easy-to-read
- Are easy to maintain
- Do not rely on an API that may change in the future
- Are always up-to-date
- Executes on the lowest-level possible (ORM) to create data as quickly as possible
From the FactoryBot README :
factory_bot
is a fixtures replacement with a straightforward definition syntax, support for multiple build strategies (saved instances, unsaved instances, attribute hashes, and stubbed objects), and support for multiple factories for the same class, including factory inheritance
Factories reside in spec/factories/*
and are fixtures for Rails models found in app/models/*
. For example, For a model named app/models/issue.rb
, the factory will
be named spec/factories/issues.rb
. For a model named app/models/project.rb
, the factory will be named app/models/projects.rb
.
Three parsers currently exist that the GitLab Data Seeder supports. Ruby, YAML, and JSON.
Ruby
All Ruby Seeds must define a DataSeeder
class with a #seed
instance method. You may structure your Ruby class as you wish. All FactoryBot methods (create
, build
, create_list
) are included in the class automatically and may be called.
The DataSeeder
class contains the following instance variables defined upon seeding:
-
@seed_file
- TheFile
object. -
@owner
- The owner of the seed data. -
@name
- The name of the seed. This is the seed file name without the extension. -
@group
- The root group that all seeded data is created under. -
@logger
- The logger object to log output. Logging output may be found inlog/data_seeder.log
.
# frozen_string_literal: true
class DataSeeder
def seed
my_group = create(:group, name: 'My Group', path: 'my-group-path', parent: @group)
@logger.info "Created #{my_group.name}" #=> Created My Group
my_project = create(:project, :public, name: 'My Project', namespace: my_group, creator: @owner)
end
end
YAML
The YAML Parser is a DSL that supports Factory definitions and allows you to seed data using a human-readable format.
name: My Seeder
groups:
- _id: my_group
name: My Group
path: my-group-path
projects:
- _id: my_project
name: My Project
namespace_id: <%= groups.my_group.id %>
creator_id: <%= @owner.id %>
traits:
- public
JSON
The JSON Parser allows you to house seed files in JSON format.
{
"name": "My Seeder",
"groups": [
{ "_id": "my_group", "name": "My Group", "path": "my-group-path" }
],
"projects": [
{
"_id": "my_project",
"name": "My Project",
"namespace_id": "<%= groups.my_group.id %>",
"creator_id": "<%= @owner.id %>",
"traits": ["public"]
}
]
}
Logging
When running the Data Seeder, the default level of logging is set to “information”.
You can override the logging level by specifying GITLAB_LOG_LEVEL=<level>
.
$ GITLAB_LOG_LEVEL=debug bundle exec rake "ee:gitlab:seed:data_seeder[beautiful_data.rb]"
Seeding data for Administrator
......
$ GITLAB_LOG_LEVEL=warn bundle exec rake "ee:gitlab:seed:data_seeder[beautiful_data.rb]"
Seeding data for Administrator
......
$ GITLAB_LOG_LEVEL=error bundle exec rake "ee:gitlab:seed:data_seeder[beautiful_data.rb]"
......
Taxonomy of a Factory
Factories consist of three main parts - the Name of the factory, the Traits and the Attributes.
Given: create(:iteration, :with_title, :current, title: 'My Iteration')
:iteration | This is the Name of the factory. The filename will be the plural form of this Name and reside under either spec/factories/iterations.rb or ee/spec/factories/iterations.rb .
|
:with_title | This is a Trait of the factory. See how it’s defined. |
:current | This is a Trait of the factory. See how it’s defined. |
title: ‘My Iteration’ | This is an Attribute of the factory that is passed to the Model for creation. |
Examples
In these examples, you will see an instance variable @owner
. This is the root
user (User.first
).
Create a Group
my_group = create(:group, name: 'My Group', path: 'my-group-path')
Create a Project
# create a Project belonging to a Group
my_project = create(:project, :public, name: 'My Project', namespace: my_group, creator: @owner)
Create an Issue
# create an Issue belonging to a Project
my_issue = create(:issue, title: 'My Issue', project: my_project, weight: 2)
Create an Iteration
# create an Iteration under a Group
my_iteration = create(:iteration, :with_title, :current, title: 'My Iteration', group: my_group)
Relate an issue to another Issue
create(:project, name: 'My project', namespace: @group, creator: @owner) do |project|
issue_1 = create(:issue, project:, title: 'Issue 1', description: 'This is issue 1')
issue_2 = create(:issue, project:, title: 'Issue 2', description: 'This is issue 2')
create(:issue_link, source: issue_1, target: issue_2)
end
Frequently encountered issues
Username or email has already been taken
If you see either of these errors:
ActiveRecord::RecordInvalid: Validation failed: Email has already been taken
ActiveRecord::RecordInvalid: Validation failed: Username has already been taken
This is because, by default, our factories are written to backfill any data that is missing. For instance, when a project is created, the project must have somebody that created it. If the owner is not specified, the factory attempts to create it.
How to fix
Check the respective Factory to find out what key is required. Usually :author
or :owner
.
# This throws ActiveRecord::RecordInvalid
create(:project, name: 'Throws Error', namespace: create(:group, name: 'Some Group'))
# Specify the user where @owner is a [User] record
create(:project, name: 'No longer throws error', owner: @owner, namespace: create(:group, name: 'Some Group'))
create(:epic, group: create(:group), author: @owner)
parsing id "my id" as "my_id"
id is invalid
Given that non-Ruby parsers parse IDs as Ruby Objects, the naming conventions of Ruby must be followed when specifying an ID.
Examples of invalid IDs:
- IDs that start with a number
- IDs that have special characters (
-
,!
,$
,@
,`
,=
,<
,>
,;
,:
)
ActiveRecord::AssociationTypeMismatch: Model expected, got … which is an instance of String
This is a limitation for the seeder.
See the issue for allowing parsing of raw Ruby objects.
YAML Factories
Generator to generate n amount of records
Group Labels
group_labels:
# Group Label with Name and a Color
- name: Group Label 1
group_id: <%= @group.id %>
color: "#FF0000"
Group Milestones
group_milestones:
# Past Milestone
- name: Past Milestone
group_id: <%= @group.id %>
group:
start_date: <%= 1.month.ago %>
due_date: <%= 1.day.ago %>
# Ongoing Milestone
- name: Ongoing Milestone
group_id: <%= @group.id %>
group:
start_date: <%= 1.day.ago %>
due_date: <%= 1.month.from_now %>
# Future Milestone
- name: Ongoing Milestone
group_id: <%= @group.id %>
group:
start_date: <%= 1.month.from_now %>
due_date: <%= 2.months.from_now %>
Quirks
- You must specify
group:
and have it be empty. This is because the Milestones factory manipulates the factory in anafter(:build)
. If this is not present, the Milestone cannot be associated properly with the Group.
Epics
epics:
# Simple Epic
- title: Simple Epic
group_id: <%= @group.id %>
author_id: <%= @owner.id %>
# Epic with detailed Markdown description
- title: Detailed Epic
group_id: <%= @group.id %>
author_id: <%= @owner.id %>
description: |
# Markdown
**Description**
# Epic with dates
- title: Epic with dates
group_id: <%= @group.id %>
author_id: <%= @owner.id %>
start_date: <%= 1.day.ago %>
due_date: <%= 1.month.from_now %>
Variables
Each created factory can be assigned an identifier to be used in future seeding.
You can specify an ID for any created factory that you may use later in the seed file.
Specify a variable
You may pass an _id
attribute on any factory to refer back to it later in non-Ruby parsers.
Variables are under the factory definitions that they reside in.
---
group_labels:
- _id: my_label #=> group_labels.my_label
projects:
- _id: my_project #=> projects.my_project
Variables:
Referencing a variable
Given a YAML seed file:
---
group_labels:
- _id: my_group_label #=> group_labels.my_group_label
name: My Group Label
color: "#FF0000"
- _id: my_other_group_label #=> group_labels.my_other_group_label
color: <%= group_labels.my_group_label.color %>
projects:
- _id: my_project #=> projects.my_project
name: My Project
When referring to a variable, the variable refers to the already seeded models. In other words, the model’s id
attribute will
be populated.