j-ben87 / data-bundle
Allow to load fixtures datasets through command line.
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Type:symfony-bundle
Requires
- php: >=5.5.9
- doctrine/data-fixtures: ^1.2
- nelmio/alice: ^2.1
- symfony/symfony: ^3.0
Requires (Dev)
- symfony/phpunit-bridge: ^3.0
This package is auto-updated.
Last update: 2024-12-06 07:56:57 UTC
README
Installation
Install with composer:
composer require j-ben87/data-bundle
Register the bundle in your app/AppKernel.php
:
public function registerBundles() { $bundles = [ // ... new JBen87\DataBundle\DataBundle(), ]; // ... }
Configuration
The bundle exposes the following configuration:
# app/config/config.yml data: culture: fr_FR # required - used to generate localized data with Faker fixtures_dir: "%kernel.root_dir%/data/fixtures" # default value - directory where datasets fixtures files are located datasets: fake: files: - "user.yml" - "address.yml" processors: # optional - white list some processors (default to all if empty) - "@app.data_fixtures.processor.user" providers: # optional - white list some providers (default to all if empty) other: files: - "..."
Basic usage
Command
The bundle provides a command similar to DoctrineFixturesBundle to load your fixtures using Alice and Faker.
Usage: bin/console data:fixtures:load <dataset> [options] Arguments: dataset The dataset to load. Options: --append Append the data fixtures instead of deleting all data from the database first. --purge-with-truncate Purge data by using a database-level TRUNCATE statement
Dataset
To load your fixtures, you first need to create a dataset.
A dataset is made of two things:
- a directory containing
yml
fixtures files that will be loaded by Alice - a
Dataset
service referencing the files to load (order matters)
Note: if you use configuration to define your datasets, the Dataset
service will be automatically handled for you.
Defintion
All you need to do is to list the fixtures files to load in the configuration in the order you want them to be processed.
# app/config/config.yml data: datasets: fake: files: - "user.yml" - "..."
Fixtures files
By default, the files containing the datasets fixtures are located in app/data/fixtures
but this can be configured.
# app/data/fixtures/fake/user.yml AppBundle\Entity\User: user_{1..10}: firstname: <firstName()> lastname: <lastName()> email: <email()> password: <password()>
That's it, you are ready to go!
Advanced usage
Providers & Processors
Alice comes with Providers and Processors.
You can register yours with the command the same way you registered a Dataset
:
- providers must be tagged with
data.provider
- processors must be tagged with
data.processor
services: app.data_fixtures.provider.custom: class: AppBundle\DataFixtures\Provider\CustomProvider public: false tags: - { name: data.provider } app.data_fixtures.processor.user: class: AppBundle\DataFixtures\Processor\User public: false tags: - { name: data.processor }
They will automatically be available and used to write your fixtures and process them.
Note: you can white list some providers or processors for a dataset in the configuration.
Datasets
If you can't or don't want to use configuration to define your datasets, you can also create them manually.
Create a Dataset
class somewhere in your project.
It must implement JBen87\DataBundle\Dataset\DatasetInterface
.
Alternatively it can also extend the base class JBen87\DataBundle\Dataset\Dataset
.
// src/AppBundle/DataFixtures/Dataset/FakeDataset.php use JBen87\DataBundle\Dataset\Dataset; class FakeDataset extends Dataset { /** * @inheritDoc */ public function getFiles() { return [ 'user.yml', ]; } }
To be registered with the command, it must also be declared as a service with the tag data.dataset
.
Optional tag attribute alias
can be used to set the dataset name.
Important: if not provided, the dataset name is guessed from the service id (e.g. the name for the service app.data_fixtures.dataset.fake
will be fake
).
services: app.data_fixtures.dataset.fake: class: AppBundle\DataFixtures\Dataset\FakeDataset public: false tags: - { name: data.dataset }
Contributing
Pull requests are welcome.
Thanks to everyone who has contributed already.
Released under the MIT License