tethys.backend/app/Controllers/Http/Api/DatasetController.ts
Arno Kaimbacher 08c2edca3b - npm updates
- renamed 'models' and 'validators' folders
- removed unneccessary files in contracts folder
2024-04-30 11:50:50 +02:00

63 lines
2.4 KiB
TypeScript

import type { HttpContext } from '@adonisjs/core/http';
// import Person from 'App/Models/Person';
import Dataset from '#models/dataset';
import { StatusCodes } from 'http-status-codes';
// node ace make:controller Author
export default class DatasetController {
public async index({}: HttpContext) {
// select * from gba.persons
// where exists (select * from gba.documents inner join gba.link_documents_persons on "documents"."id" = "link_documents_persons"."document_id"
// where ("link_documents_persons"."role" = 'author') and ("persons"."id" = "link_documents_persons"."person_id"));
const datasets = await Dataset.query().where('server_state', 'published').orWhere('server_state', 'deleted');
return datasets;
}
public async findAll({ response }: HttpContext) {
try {
const datasets = await Dataset.query()
.where('server_state', 'published')
.orWhere('server_state', 'deleted')
.preload('descriptions') // Preload any relationships you need
.orderBy('server_date_published');
return response.status(StatusCodes.OK).json(datasets);
} catch (error) {
return response.status(500).json({
message: error.message || 'Some error occurred while retrieving datasets.',
});
}
}
public async findOne({ params }: HttpContext) {
const datasets = await Dataset.query()
.where('publish_id', params.publish_id)
.preload('titles')
.preload('descriptions')
.preload('user')
.preload('authors', (builder) => {
builder.orderBy('pivot_sort_order', 'asc');
})
.preload('contributors', (builder) => {
builder.orderBy('pivot_sort_order', 'asc');
})
.preload('subjects')
.preload('coverage')
.preload('licenses')
.preload('references')
.preload('project')
.preload('referenced_by', (builder) => {
builder.preload('dataset', (builder) => {
builder.preload('identifier');
});
})
.preload('files', (builder) => {
builder.preload('hashvalues');
})
.preload('identifier')
.firstOrFail();
return datasets;
}
}