undeexcepturi/tests/features/serialization/GH4859.test.ts

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, PostgreSQL and SQLite databases as well as usage with vanilla JavaScript.

import { Entity, EntityDTO, PrimaryKey, Property, serialize, wrap } from '@mikro-orm/core';
import { MikroORM } from '@mikro-orm/sqlite';

@Entity()
class TimeSeriesAccessorGetterEntityTest {

  @PrimaryKey()
  id!: string;

  @Property()
  data!: number[];

  @Property({
    serializer: value => ({ AVG: value.average, MAX: value.max, TOTAL: value.totalItems }),
    persist: false,
  })
  get stats() {
    return {
      average: this.data.reduce((sum, curr) => sum + curr, 0) / this.data.length,
      max: this.data.reduce((max, curr) => max > curr ? max : curr, 0),
      totalItems: this.data.length,
    };
  }

}

@Entity()
class TimeSeriesMethodGetterEntityTest {

  @PrimaryKey()
  id!: string;

  @Property()
  data!: number[];

  @Property({
    serializer: value => ({ AVG: value.average, MAX: value.max, TOTAL: value.totalItems }),
    persist: false,
  })
  stats() {
    return {
      average: this.data.reduce((sum, curr) => sum + curr, 0) / this.data.length,
      max: this.data.reduce((max, curr) => max > curr ? max : curr, 0),
      totalItems: this.data.length,
    };
  }

}

let orm: MikroORM;

beforeAll(async () => {
  orm = await MikroORM.init({
    entities: [TimeSeriesAccessorGetterEntityTest, TimeSeriesMethodGetterEntityTest],
    dbName: ':memory:',
  });
  await orm.schema.createSchema();
});

afterAll(() => orm.close(true));

const testScenarios: [string, (entity: any) => EntityDTO<any>][] = [
  ['serialize', (entity: any) => serialize(entity)],
  ['toObject', (entity: any) => wrap(entity).toObject()],
];

testScenarios.forEach(([testName, testFn]) => {
  describe(testName, () => {

    test('custom serializer should be called in accessor getter', async () => {
      const timeSeries = new TimeSeriesAccessorGetterEntityTest();
      timeSeries.id = 'weather';
      timeSeries.data = [45, 56, 75, 34];

      const dto = testFn(timeSeries);

      expect(dto).toStrictEqual({
        id: 'weather',
        data: [45, 56, 75, 34],
        stats: {
          AVG: 52.5,
          MAX: 75,
          TOTAL: 4,
        },
      });
    });

    test('custom serializer should be called in method getter', async () => {
      const timeSeries = new TimeSeriesMethodGetterEntityTest();
      timeSeries.id = 'weather';
      timeSeries.data = [45, 56, 75, 34];

      const dto = testFn(timeSeries);

      expect(dto).toStrictEqual({
        id: 'weather',
        data: [45, 56, 75, 34],
        stats: {
          AVG: 52.5,
          MAX: 75,
          TOTAL: 4,
        },
      });
    });
  });
});