A NestJS module for integrating with MindsDB. This allows for easy model management and prediction within your NestJS application.
npm install nestjs-mindsdb
Models in MindsDB are described through the IModel
interface. Here's how you can define your models:
import { Granularity, IModel } from "./mindsdb.models";
export const Models = new Map<string, IModel>([
[
"balance_auto",
{
name: "balance_auto",
granularity: Granularity.day,
targetColumn: "sum",
predictOptions: {
join: "views.enriched_balance",
where: ["t.customerId = $CUSTOMER_ID$", "t.date > $DATE$"],
},
trainingOptions: {
select: "select * from enriched_balance",
groupBy: "customerId",
orderBy: "date",
horizon: 60,
window: 90,
// using: {
// submodels: [{ module: 'GluonTSMixer', args: {} }],
// },
},
finetuneOptions: {
select: "select * from enriched_balance where customerId = $CUSTOMER_ID$ and date > $DATE$",
integration: undefined,
},
},
],
[
"balance_gluon",
{
name: "balance_gluon",
granularity: Granularity.day,
targetColumn: "sum",
view: {
select: "select * from production.banking.enriched_balance",
name: "balance_gluon_enriched_balance",
},
predictOptions: {
join: "views.enriched_balance",
where: ["t.customerId = $CUSTOMER_ID$", "t.date > $DATE$"],
},
trainingOptions: {
select: "select * from balance_gluon_enriched_balance",
groupBy: "customerId",
orderBy: "date",
horizon: 60,
window: 90,
// using: {
// submodels: [{ module: 'GluonTSMixer', args: {} }],
// },
},
finetuneOptions: {
select: "select * from balance_gluon_enriched_balance",
integration: undefined,
},
},
],
]);
Placeholders such as $CUSTOMER_ID$
and $DATE$
can be used in the model definition. These will be replaced when you're making predictions.
To expose your models through a RESTful API, extend the AbstractMindsdbController
and use NestJS's @Controller
decorator. This controller will automatically have all the endpoints corresponding to the methods in the AbstractMindsdbController
.
import { Controller } from '@nestjs/common';
import { MindsdbService } from 'nestjs-mindsdb';
import { AbstractMindsdbController } from 'nestjs-mindsdb';
@Controller('mindsdb')
export class MindsdbController extends AbstractMindsdbController {
constructor(mindsdbService: MindsdbService) {
super(mindsdbService);
}
}
The MindsdbService
provides several methods that correspond to different operations you can perform on your models.
If parameters are not provided will use the one's defined on the IModel object for each.
const createDto = new CreateMindsdbDto();
createDto.name = 'balance_auto';
mindsdbService.create(createDto);
const predictDto = new PredictMindsdbDto();
predictDto.join = "views.enriched_balance";
predictDto.where = ["t.customerId = $CUSTOMER_ID$", "t.date > $DATE$"];
predictDto.limit = 100;
predictDto.params = {
$CUSTOMER_ID$: 1234,
$DATE$: new Date('2023-01-01')
};
mindsdbService.predict('balance_auto', predictDto);
const finetuneDto = new FinetuneMindsdbDto();
finetuneDto.select = "select * from enriched_balance where customerId = $CUSTOMER_ID$ and date > $DATE$";
finetuneDto.params = {
$CUSTOMER_ID$: 1234,
$DATE$: new Date('2023-01-01')
};
mindsdbService.finetune('balance_auto', finetuneDto);
const retrainDto = new RetrainMindsDbDto();
retrainDto.select = "select * from balance_gluon_enriched_balance";
retrainDto.groupBy = "customerId";
retrainDto.orderBy = "date";
retrainDto.window = 90;
retrainDto.horizon = 60;
mindsdbService.retrain('balance_auto', retrainDto);
const allModels = mindsdbService.findAll();
mindsdbService.findOne('balance_auto');
mindsdbService.remove('balance_auto');
Remember to adjust any paths, references, and examples according to your project structure and requirements.
To utilize MindsDB within your NestJS application, you have to set up the module. Given the nature of this module being dynamic, configurations are essential for its proper functioning. Here's a basic setup:
import { MindsdbModule } from 'nestjs-mindsdb';
import { Models } from './path-to-your-models-definition';
@Module({
imports: [MindsdbModule.forRoot(Models)],
})
export class AppModule {}