253 lines
9.5 KiB
JavaScript
253 lines
9.5 KiB
JavaScript
require('../../support/test_helper');
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var assert = require('../../support/assert');
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var TestClient = require('../../support/test-client');
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describe('aggregations happy cases', function() {
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afterEach(function(done) {
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if (this.testClient) {
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this.testClient.drain(done);
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} else {
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done();
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}
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});
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function aggregationOperationMapConfig(operation, query, column, aggregationColumn) {
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column = column || 'adm0name';
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aggregationColumn = aggregationColumn || 'pop_max';
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query = query || 'select * from populated_places_simple_reduced';
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var mapConfig = {
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version: '1.5.0',
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layers: [
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{
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type: 'mapnik',
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options: {
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sql: query,
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cartocss: '#layer0 { marker-fill: red; marker-width: 10; }',
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cartocss_version: '2.0.1',
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widgets: {}
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}
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}
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]
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};
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mapConfig.layers[0].options.widgets[column] = {
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type: 'aggregation',
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options: {
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column: column,
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aggregation: operation,
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aggregationColumn: aggregationColumn
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}
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};
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return mapConfig;
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}
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var operations = ['count', 'sum', 'avg', 'max', 'min'];
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operations.forEach(function(operation) {
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it('should be able to use "' + operation + '" as aggregation operation', function(done) {
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this.testClient = new TestClient(aggregationOperationMapConfig(operation));
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this.testClient.getDataview('adm0name', { own_filter: 0 }, function (err, aggregation) {
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assert.ok(!err, err);
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assert.ok(aggregation);
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assert.equal(aggregation.type, 'aggregation');
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assert.equal(aggregation.aggregation, operation);
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done();
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});
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});
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});
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var query = [
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'select 1 as val, \'a\' as cat, ST_Transform(ST_SetSRID(ST_MakePoint(0,0),4326),3857) as the_geom_webmercator',
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'select null, \'b\', ST_Transform(ST_SetSRID(ST_MakePoint(0,1),4326),3857)',
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'select null, \'b\', ST_Transform(ST_SetSRID(ST_MakePoint(1,0),4326),3857)',
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'select null, null, ST_Transform(ST_SetSRID(ST_MakePoint(1,1),4326),3857)'
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].join(' UNION ALL ');
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operations.forEach(function (operation) {
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var not = operation === 'count' ? ' not ' : ' ';
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var description = 'should' +
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not +
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'handle NULL values in category and aggregation columns using "' +
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operation +
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'" as aggregation operation';
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it(description, function (done) {
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this.testClient = new TestClient(aggregationOperationMapConfig(operation, query, 'cat', 'val'));
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this.testClient.getDataview('cat', { own_filter: 0 }, function (err, aggregation) {
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assert.ifError(err);
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assert.ok(aggregation);
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assert.equal(aggregation.type, 'aggregation');
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assert.ok(aggregation.categories);
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assert.equal(aggregation.categoriesCount, 3);
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assert.equal(aggregation.count, 4);
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assert.equal(aggregation.nulls, 1);
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var hasNullCategory = false;
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aggregation.categories.forEach(function (category) {
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if (category.category === null) {
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hasNullCategory = true;
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}
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});
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if (operation === 'count') {
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assert.ok(hasNullCategory, 'aggregation has not a category NULL');
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} else {
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assert.ok(!hasNullCategory, 'aggregation has category NULL');
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}
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done();
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});
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});
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});
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var operations_and_values = {'count': 9, 'sum': 45, 'avg': 5, 'max': 9, 'min': 1};
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var query_other = [
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'select generate_series(1,3) as val, \'other_a\' as cat, NULL as the_geom_webmercator',
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'select generate_series(4,6) as val, \'other_b\' as cat, NULL as the_geom_webmercator',
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'select generate_series(7,9) as val, \'other_c\' as cat, NULL as the_geom_webmercator',
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'select generate_series(10,12) as val, \'category_1\' as cat, NULL as the_geom_webmercator',
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'select generate_series(10,12) as val, \'category_2\' as cat, NULL as the_geom_webmercator',
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'select generate_series(10,12) as val, \'category_3\' as cat, NULL as the_geom_webmercator',
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'select generate_series(10,12) as val, \'category_4\' as cat, NULL as the_geom_webmercator',
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'select generate_series(10,12) as val, \'category_5\' as cat, NULL as the_geom_webmercator'
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].join(' UNION ALL ');
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Object.keys(operations_and_values).forEach(function (operation) {
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var description = 'should aggregate OTHER category using "' + operation + '"';
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it(description, function (done) {
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this.testClient = new TestClient(aggregationOperationMapConfig(operation, query_other, 'cat', 'val'));
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this.testClient.getDataview('cat', { own_filter: 0 }, function (err, aggregation) {
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assert.ifError(err);
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assert.ok(aggregation);
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assert.equal(aggregation.type, 'aggregation');
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assert.ok(aggregation.categories);
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assert.equal(aggregation.categoriesCount, 8);
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assert.equal(aggregation.count, 24);
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assert.equal(aggregation.nulls, 0);
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var aggregated_categories = aggregation.categories.filter( function(category) {
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return category.agg === true;
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});
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assert.equal(aggregated_categories.length, 1);
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assert.equal(aggregated_categories[0].value, operations_and_values[operation]);
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done();
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});
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});
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});
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});
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describe.only('aggregation-dataview: special float values', function() {
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afterEach(function(done) {
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if (this.testClient) {
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this.testClient.drain(done);
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} else {
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done();
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}
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});
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function createMapConfig(layers, dataviews, analysis) {
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return {
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version: '1.5.0',
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layers: layers,
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dataviews: dataviews || {},
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analyses: analysis || []
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};
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}
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var mapConfig = createMapConfig(
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[
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{
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"type": "cartodb",
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"options": {
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"source": {
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"id": "a0"
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},
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"cartocss": "#points { marker-width: 10; marker-fill: red; }",
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"cartocss_version": "2.3.0"
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}
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}
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],
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{
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val_aggregation: {
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source: {
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id: 'a0'
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},
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type: 'aggregation',
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options: {
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column: 'cat',
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aggregation: 'avg',
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aggregationColumn: 'val'
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}
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}
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},
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[
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{
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"id": "a0",
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"type": "source",
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"params": {
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"query": [
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'SELECT',
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' null::geometry the_geom_webmercator,',
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' CASE',
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' WHEN x % 4 = 0 THEN \'infinity\'::float',
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' WHEN x % 4 = 1 THEN \'-infinity\'::float',
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' WHEN x % 4 = 2 THEN \'NaN\'::float',
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' ELSE x',
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' END AS val,',
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' CASE',
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' WHEN x % 2 = 0 THEN \'category_1\'',
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' ELSE \'category_2\'',
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' END AS cat',
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'FROM generate_series(1, 1000) x'
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].join('\n')
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}
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}
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]
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);
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// the_geom_webmercator | val | cat
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// ----------------------+-----------+------------
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// | -Infinity | category_2
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// | NaN | category_1
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// | 3 | category_2
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// | Infinity | category_1
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// | -Infinity | category_2
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// | NaN | category_1
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// | 7 | category_2
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// | Infinity | category_1
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// | -Infinity | category_2
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// | NaN | category_1
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// | 11 | category_2
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// | " | "
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var filters = [{ own_filter: 0 }, {}];
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filters.forEach(function (filter) {
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it('should handle special float values using filter: ' + JSON.stringify(filter), function(done) {
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this.testClient = new TestClient(mapConfig, 1234);
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this.testClient.getDataview('val_aggregation', { own_filter: 0 }, function(err, dataview) {
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assert.ifError(err);
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assert.ok(dataview.infinities === (250 + 250));
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assert.ok(dataview.nans === 250);
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assert.ok(dataview.categories.length === 1);
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dataview.categories.forEach(function (category) {
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assert.ok(category.category === 'category_2');
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assert.ok(category.value === 501);
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})
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done();
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});
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});
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})
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});
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