dandi

🌻A modular DI, MVC, and Model binding/validation framework for NodeJS and TypeScript or ES6

View the Project on GitHub just-dandi/dandi

@dandi-contrib/data-pg

@dandi-contrib/data-pg wraps the node-postgres client in implementations of @dandi/data’s interfaces.

See @dandi/data for basic usage and configuration.

Using @dandi-contrib/data-pg In Your App

In addition to setting up the connection and authentication data described in @dandi/data, include PgDbModule in your DandiApplication providers:

import { DandiApplication } from '@dandi/core'
import { PgDbModule } from '@dandi-contrib/data-pg'

const myApp = new DandiApplication({
  providers: [

    ...

    // database
    PgDbModule,

    ...

  ],
})

Configuring ModelBuilder

Include a Provider<ModelBuilderOptions> for PgDbModelBuilderOptions in your DandiApplication providers:

import { DandiApplication } from '@dandi/core'
import { PgDbModelBuilderOptions, PgDbModule } from '@dandi-contrib/data-pg'
import { ModelBuilderOptions } from '@dandi/model-builder'

import { camel } from 'change-case'

const myApp = new DandiApplication({
  providers: [

    ...

    ModelBuilderOptions.provider(PgDbModelBuilderOptions, {
      keyTransform: camel, // translates snake_case table column names to camelCase 
    }),

    ...

  ],
})

SELECT Expansion for Nested Models

@dandi/data-pg’s DbQueryable implementation allows you to map columns from SELECT statements for models that nest other models. To enable this feature, you must construct your query in a specific manner:

For example, given a model structure like so:

class CarModel {
  @Property(Uuid)
  public carId: Uuid
  
  @Property(String)
  public name: string
}
class DriverModel {
  @Property(Uuid)
  public driverId: Uuid  
  
  @Property(String)
  public name: string
}
class DriverAssignmentModel {
  @Property(DriverModel)
  public driver: DriverModel
  
  @Property(CarModel)
  public car: CarModel  
}

The query might look like:

SELECT
  driver,
  car
FROM driver_assignments a
JOIN drivers driver ON a.driver_id = driver.driver_id
JOIN cars car ON a.car_id = car.car_id

Calling dbClient.queryModel(DriverAssignmentModel, query) with the above query would result in the following expansion:

SELECT
  driver.driver_id as "driver.driver_id",
  driver.name as "driver.name",
  car.car_id as "car.car_id",
  car.name as "car.name"
FROM driver_assignments a
JOIN drivers driver ON a.driver_id = driver.driver_id
JOIN cars car ON a.car_id = car.car_id

The dot notation in the above expanded query, combined with a camelCase key transform (as shown above) will allow the ModelBuilder instance to correctly map the properties into their respective models.