platform/README.md

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# orm
[![Pub](https://img.shields.io/pub/v/angel_orm.svg)](https://pub.dartlang.org/packages/angel_orm)
[![build status](https://travis-ci.org/angel-dart/orm.svg)](https://travis-ci.org/angel-dart/orm)
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Source-generated PostgreSQL ORM for use with the
[Angel framework](https://angel-dart.github.io).
Now you can combine the power and flexibility of Angel with a strongly-typed ORM.
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Documentation for migrations can be found here:
https://angel-dart.gitbook.io/angel/v/2.x/orm/migrations
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* [Usage](#usage)
* [Model Definitions](#models)
* [MVC Example](#example)
* [Relationships](#relations)
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* [Many-to-Many Relationships](#many-to-many-relations)
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* [Columns (`@Column(...)`)](#columns)
* [Column Types](#column-types)
* [Indices](#indices)
* [Default Values](#default-values)
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# Usage
You'll need these dependencies in your `pubspec.yaml`:
```yaml
dependencies:
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angel_orm: ^2.0.0-dev
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dev_dependencies:
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angel_orm_generator: ^2.0.0-dev
build_runner: ^1.0.0
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```
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`package:angel_orm_generator` exports a class that you can include
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in a `package:build` flow:
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* `PostgresOrmGenerator` - Fueled by `package:source_gen`; include this within a `SharedPartBuilder`.
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However, it also includes a `build.yaml` that builds ORM files automatically, so you shouldn't
have to do any configuration at all.
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# Models
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The ORM works best when used with `package:angel_serialize`:
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```dart
library angel_orm.test.models.car;
import 'package:angel_migration/angel_migration.dart';
import 'package:angel_model/angel_model.dart';
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import 'package:angel_orm/angel_orm.dart';
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import 'package:angel_serialize/angel_serialize.dart';
part 'car.g.dart';
@serializable
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@orm
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abstract class _Car extends Model {
String get make;
String get description;
bool get familyFriendly;
DateTime get recalledAt;
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}
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// You can disable migration generation.
@Orm(generateMigrations: false)
abstract class _NoMigrations extends Model {}
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```
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Models can use the `@SerializableField()` annotation; `package:angel_orm` obeys it.
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After building, you'll have access to a `Query` class with strongly-typed methods that
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allow to run asynchronous queries without a headache.
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Remember that if you don't need automatic id-and-date fields, you can
simply just not extend `Model`:
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```dart
@Serializable(autoIdAndDateFields: false)
abstract class _ThisIsNotAnAngelModel {
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@primaryKey
String get username;
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}
```
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# Example
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MVC just got a whole lot easier:
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```dart
import 'package:angel_framework/angel_framework.dart';
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import 'package:angel_orm/angel_orm.dart';
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import 'car.dart';
import 'car.orm.g.dart';
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/// Returns an Angel plug-in that connects to a database, and sets up a controller connected to it...
AngelConfigurer connectToCarsTable(QueryExecutor executor) {
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return (Angel app) async {
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// Register the connection with Angel's dependency injection system.
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//
// This means that we can use it as a parameter in routes and controllers.
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app.container.registerSingleton(executor);
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// Attach the controller we create below
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await app.mountController<CarController>();
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};
}
@Expose('/cars')
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class CarController extends Controller {
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// The `executor` will be injected.
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@Expose('/recalled_since_2008')
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carsRecalledSince2008(QueryExecutor executor) {
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// Instantiate a Car query, which is auto-generated. This class helps us build fluent queries easily.
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var cars = new CarQuery();
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cars.where
..familyFriendly.equals(false)
..recalledAt.year.greaterThanOrEqualTo(2008);
// Shorter syntax we could use instead...
cars.where.recalledAt.year <= 2008;
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// `get()` returns a Future<List<Car>>.
return await cars.get(executor);
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}
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@Expose('/create', method: 'POST')
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createCar(QueryExecutor executor) async {
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// `package:angel_orm` generates a strongly-typed `insert` function on the query class.
// Say goodbye to typos!!!
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var query = new CarQuery();
query.values
..familyFriendly = true
..make 'Honda';
var car = query.insert(executor);
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// Auto-serialized using code generated by `package:angel_serialize`
return car;
}
}
```
# Relations
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`angel_orm` supports the following relationships:
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* `@HasOne()` (one-to-one)
* `@HasMany()` (one-to-many)
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* `@BelongsTo()` (one-to-one)
The annotations can be abbreviated with the default options (ex. `@hasOne`), or supplied
with custom parameters (ex. `@HasOne(foreignKey: 'foreign_id')`).
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```dart
@serializable
@orm
abstract class _Author extends Model {
@hasMany // Use the defaults, and auto-compute `foreignKey`
List<Book> books;
// Also supports parameters...
@HasMany(localKey: 'id', foreignKey: 'author_id', cascadeOnDelete: true)
List<Book> books;
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@SerializableField(alias: 'writing_utensil')
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@hasOne
Pen pen;
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}
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```
The relationships will "just work" out-of-the-box, following any operation. For example,
after fetching an `Author` from the database in the above example, the `books` field would
be populated with a set of deserialized `Book` objects, also fetched from the database.
Relationships use joins when possible, but in the case of `@HasMany()`, two queries are used:
* One to fetch the object itself
* One to fetch a list of related objects
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## Many to Many Relations
A many-to-many relationship can now be modeled like so.
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`RoleUser` in this case is a pivot table joining `User` and `Role`.
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Note that in this case, the models must reference the private classes (`_User`, etc.), because the canonical versions (`User`, etc.) are not-yet-generated:
```dart
@serializable
@orm
abstract class _User extends Model {
String get username;
String get password;
String get email;
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@ManyToMany(_RoleUser)
List<_Role> get roles;
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}
@serializable
@orm
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abstract class _RoleUser {
@belongsTo
_Role get role;
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@belongsTo
_User get user;
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}
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@serializable
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@orm
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abstract class _Role extends Model {
String name;
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@ManyToMany(_RoleUser)
List<_User> get users;
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}
```
TLDR:
1. Make a pivot table, C, between two tables, table A and B
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2. C should `@belongsTo` both A and B. C *should not* extend `Model`.
3. A should have a field: `@ManyToMany(_C) List<_B> get b;`
4. B should have a field: `@ManyToMany(_C) List<_A> get a;`
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Test: https://raw.githubusercontent.com/angel-dart/orm/master/angel_orm_generator/test/many_to_many_test.dart
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# Columns
Use a `@Column()` annotation to change how a given field is handled within the ORM.
## Column Types
Using the `@Column()` annotation, it is possible to explicitly declare the data type of any given field:
```dart
@serializable
@orm
abstract class _Foo extends Model {
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@Column(type: ColumnType.bigInt)
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int bar;
}
```
## Indices
Columns can also have an `index`:
```dart
@serializable
@orm
abstract class _Foo extends Model {
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@Column(index: IndexType.primaryKey)
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String bar;
}
```
## Default Values
It is also possible to specify the default value of a field.
**Note that this only works with primitive objects.**
If a default value is supplied, the `SqlMigrationBuilder` will include
it in the generated schema. The `PostgresOrmGenerator` ignores default values;
it does not need them to function properly.
```dart
@serializable
@orm
abstract class _Foo extends Model {
@Column(defaultValue: 'baz')
String bar;
}
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```