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dataset.mocha.ts
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dataset.mocha.ts
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/*
* Copyright 2015-2016 Imply Data, Inc.
* Copyright 2017-2019 Allegro.pl
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import { expect } from "chai";
import { Timezone } from "chronoshift";
import { Dataset } from "plywood";
import { SPLIT } from "../../config/constants";
import "../../utils/test-utils";
import {
fillDatasetWithMissingValues,
orderByNumberRangeDimensionIncreasing,
orderByTimeDimensionDecreasing,
orderByTimeDimensionIncreasing,
orderByValueDecreasing,
orderByValueIncreasing
} from "./dataset";
import { expectedDataset, expectedDatasetReversed, rawDataset, rawDatasetWithTimeDimension, rawDataWithNumberRanges, reversedDatasetWithTimeDimension } from "./test-fixtures";
const timezone = Timezone.UTC;
describe("Dataset", () => {
it("works", () => {
expect(fillDatasetWithMissingValues(Dataset.fromJS(rawDataset.data[0][SPLIT] as Dataset), "pv_count", "site", orderByValueDecreasing, timezone).toJS())
.to.deep.equal(Dataset.fromJS(expectedDataset.data[0][SPLIT] as Dataset).toJS());
});
it("works reversed", () => {
expect(fillDatasetWithMissingValues(Dataset.fromJS(rawDataset.data[0][SPLIT] as Dataset), "pv_count", "site", orderByValueIncreasing, timezone).toJS())
.to.deep.equal(Dataset.fromJS(expectedDatasetReversed.data[0][SPLIT] as Dataset).toJS());
});
it("works with time dimension", () => {
expect(fillDatasetWithMissingValues(Dataset.fromJS(rawDatasetWithTimeDimension.data[0][SPLIT] as Dataset), "click", "__time", orderByTimeDimensionIncreasing, timezone).toJS())
.to.deep.equal(Dataset.fromJS(rawDatasetWithTimeDimension.data[0][SPLIT] as Dataset).toJS());
});
it("works when reversing time dimension", () => {
expect(fillDatasetWithMissingValues(Dataset.fromJS(rawDatasetWithTimeDimension.data[0][SPLIT] as Dataset), "click", "__time", orderByTimeDimensionDecreasing, timezone).toJS())
.to.deep.equal(Dataset.fromJS(reversedDatasetWithTimeDimension.data[0][SPLIT] as Dataset).toJS());
});
it("works with number ranges", () => {
expect(fillDatasetWithMissingValues(Dataset.fromJS(rawDataWithNumberRanges.data[0][SPLIT] as Dataset), "added", "deltaBucket100", orderByNumberRangeDimensionIncreasing, timezone).toJS())
.to.deep.equal(Dataset.fromJS(rawDataWithNumberRanges.data[0][SPLIT] as Dataset).toJS());
});
});