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420c39337c
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102e75ce95
@ -1344,6 +1344,73 @@ describe('aggregation', function () {
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});
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});
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});
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});
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it.only('aggregation dimension hour iso format with timezone', function (done) {
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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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// take two points per hour over two days
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sql: pointsWithTimeSQL(96, '2018-01-01T00:00:00+02', '2018-01-01T23:59:59+02', 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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hour: {
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column: 'date',
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group: {
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units: 'hour',
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timezone: '+7200'
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},
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format: 'iso',
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}
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}
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}
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}
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}
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]);
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this.testClient = new TestClient(this.mapConfig);
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const options = {
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format: 'mvt'
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};
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this.testClient.getTile(0, 0, 0, options, (err, res, tile) => {
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if (err) {
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return done(err);
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}
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const tileJSON = tile.toJSON();
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const resultHours = tileJSON[0].features.map(f => f.properties.hour).sort();
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assert.deepEqual(resultHours, [
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"2018-01-01T00",
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"2018-01-01T01",
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"2018-01-01T02",
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"2018-01-01T03",
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"2018-01-01T04",
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"2018-01-01T05",
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"2018-01-01T06",
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"2018-01-01T07",
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"2018-01-01T08",
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"2018-01-01T09",
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"2018-01-01T10",
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"2018-01-01T11",
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"2018-01-01T12",
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"2018-01-01T13",
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"2018-01-01T14",
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"2018-01-01T15",
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"2018-01-01T16",
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"2018-01-01T17",
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"2018-01-01T18",
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"2018-01-01T19",
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"2018-01-01T20",
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"2018-01-01T21",
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"2018-01-01T22",
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"2018-01-01T23"
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]);
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tileJSON[0].features.forEach(f => assert.equal(f.properties._cdb_feature_count, 4));
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done();
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});
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});
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['centroid', 'point-sample', 'point-grid'].forEach(placement => {
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['centroid', 'point-sample', 'point-grid'].forEach(placement => {
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it(`dimensions should work for ${placement} placement`, function(done) {
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it(`dimensions should work for ${placement} placement`, function(done) {
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this.mapConfig = createVectorMapConfig([
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this.mapConfig = createVectorMapConfig([
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