Clarify some tests
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@@ -948,11 +948,12 @@ describe('aggregation', function () {
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});
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it('aggregation dimensions only used if present', function (done) {
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const nPoints = 50;
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this.mapConfig = createVectorMapConfig([
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{
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type: 'cartodb',
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options: {
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sql: pointsWithTimeSQL(50, '2018-01-01T00:00:00+00', '2018-12-31T23:59:59+00', 0),
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sql: pointsWithTimeSQL(nPoints, '2000-01-01T00:00:00+00', '2019-12-31T23:59:59+00', 0),
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dates_as_numbers: true,
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aggregation: {
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threshold: 1,
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@@ -970,25 +971,28 @@ describe('aggregation', function () {
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return done(err);
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}
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const tileJSON = tile.toJSON();
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assert.equal(tileJSON[0].features.length, 1);
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// Everything's aggregated into a single feature because the only
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// dimension is space and all points are in the same place.
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assert.deepEqual(tileJSON[0].features.map(f => f.properties._cdb_feature_count), [nPoints]);
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done();
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});
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});
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it('aggregation dimension month used', function (done) {
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it('aggregation dimension year used', function (done) {
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const nPoints = 50;
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this.mapConfig = createVectorMapConfig([
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{
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type: 'cartodb',
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options: {
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sql: pointsWithTimeSQL(50, '2018-01-01T00:00:00+00', '2018-12-31T23:59:59+00', 0),
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sql: pointsWithTimeSQL(nPoints, '2000-01-01T00:00:00+00', '2019-12-31T23:59:59+00', 0),
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dates_as_numbers: true,
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aggregation: {
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threshold: 1,
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dimensions: {
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month: {
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year: {
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column: 'date',
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group: {
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units: 'month'
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units: 'year'
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}
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}
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}
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@@ -1007,7 +1011,11 @@ describe('aggregation', function () {
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return done(err);
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}
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const tileJSON = tile.toJSON();
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assert.equal(tileJSON[0].features.length, 12);
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// Now all features have same location, but the year is an additional dimension
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// with 20 different values, so we'll have an aggregated feature for each.
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const expectedYears = Array.from({length: 20}, (_, k) => 2000 + k); // 2000 to 2019
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const resultYears = tileJSON[0].features.map(f => f.properties.year).sort((a, b) => a - b);
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assert.deepEqual(resultYears, expectedYears);
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done();
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});
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