Windshaft-cartodb/test/acceptance/dataviews/aggregation-test.js
2019-10-07 11:16:48 +02:00

497 lines
18 KiB
JavaScript

'use strict';
require('../../support/test-helper');
var assert = require('../../support/assert');
var TestClient = require('../../support/test-client');
describe('aggregations happy cases', function() {
afterEach(function(done) {
if (this.testClient) {
this.testClient.drain(done);
} else {
done();
}
});
function aggregationOperationMapConfig(operation, query, column, aggregationColumn) {
column = column || 'adm0name';
aggregationColumn = aggregationColumn || 'pop_max';
query = query || 'select * from populated_places_simple_reduced';
var mapConfig = {
version: '1.5.0',
layers: [
{
type: 'mapnik',
options: {
sql: query,
cartocss: '#layer0 { marker-fill: red; marker-width: 10; }',
cartocss_version: '2.0.1',
widgets: {}
}
}
]
};
mapConfig.layers[0].options.widgets[column] = {
type: 'aggregation',
options: {
column: column,
aggregation: operation,
aggregationColumn: aggregationColumn
}
};
return mapConfig;
}
var operations = ['count', 'sum', 'avg', 'max', 'min'];
operations.forEach(function(operation) {
it('should be able to use "' + operation + '" as aggregation operation', function(done) {
this.testClient = new TestClient(aggregationOperationMapConfig(operation));
this.testClient.getDataview('adm0name', { own_filter: 0 }, function (err, aggregation) {
assert.ok(!err, err);
assert.ok(aggregation);
assert.equal(aggregation.type, 'aggregation');
assert.equal(aggregation.aggregation, operation);
done();
});
});
});
var query = [
'select 1 as val, \'a\' as cat, ST_Transform(ST_SetSRID(ST_MakePoint(0,0),4326),3857) as the_geom_webmercator',
'select null, \'b\', ST_Transform(ST_SetSRID(ST_MakePoint(0,1),4326),3857)',
'select null, \'b\', ST_Transform(ST_SetSRID(ST_MakePoint(1,0),4326),3857)',
'select null, null, ST_Transform(ST_SetSRID(ST_MakePoint(1,1),4326),3857)'
].join(' UNION ALL ');
operations.forEach(function (operation) {
var description = 'should handle NULL values in category and aggregation columns using "' +
operation + '" as aggregation operation';
it(description, function (done) {
this.testClient = new TestClient(aggregationOperationMapConfig(operation, query, 'cat', 'val'));
this.testClient.getDataview('cat', { own_filter: 0 }, function (err, aggregation) {
assert.ifError(err);
assert.ok(aggregation);
assert.equal(aggregation.type, 'aggregation');
assert.ok(aggregation.categories);
assert.equal(aggregation.categoriesCount, 3);
assert.equal(aggregation.count, 4);
assert.equal(aggregation.nulls, 1);
var hasNullCategory = false;
aggregation.categories.forEach(function (category) {
if (category.category === null) {
hasNullCategory = true;
}
});
assert.ok(!hasNullCategory, 'aggregation has category NULL');
done();
});
});
});
var operations_and_values = {'count': 9, 'sum': 45, 'avg': 5, 'max': 9, 'min': 1};
var query_other = [
'select generate_series(1,3) as val, \'other_a\' as cat, NULL as the_geom_webmercator',
'select generate_series(4,6) as val, \'other_b\' as cat, NULL as the_geom_webmercator',
'select generate_series(7,9) as val, \'other_c\' as cat, NULL as the_geom_webmercator',
'select generate_series(10,12) as val, \'category_1\' as cat, NULL as the_geom_webmercator',
'select generate_series(10,12) as val, \'category_2\' as cat, NULL as the_geom_webmercator',
'select generate_series(10,12) as val, \'category_3\' as cat, NULL as the_geom_webmercator',
'select generate_series(10,12) as val, \'category_4\' as cat, NULL as the_geom_webmercator',
'select generate_series(10,12) as val, \'category_5\' as cat, NULL as the_geom_webmercator'
].join(' UNION ALL ');
Object.keys(operations_and_values).forEach(function (operation) {
var description = 'should aggregate OTHER category using "' + operation + '"';
it(description, function (done) {
this.testClient = new TestClient(aggregationOperationMapConfig(operation, query_other, 'cat', 'val'));
this.testClient.getDataview('cat', { own_filter: 0 }, function (err, aggregation) {
assert.ifError(err);
assert.ok(aggregation);
assert.equal(aggregation.type, 'aggregation');
assert.ok(aggregation.categories);
assert.equal(aggregation.categoriesCount, 8);
assert.equal(aggregation.count, 24);
assert.equal(aggregation.nulls, 0);
var aggregated_categories = aggregation.categories.filter( function(category) {
return category.agg === true;
});
assert.equal(aggregated_categories.length, 1);
assert.equal(aggregated_categories[0].value, operations_and_values[operation]);
done();
});
});
});
var widgetSearchExpects = {
'count': [ { category: 'other_a', value: 3 } ],
'sum': [ { category: 'other_a', value: 6 } ],
'avg': [ { category: 'other_a', value: 2 } ],
'max': [ { category: 'other_a', value: 3 } ],
'min': [ { category: 'other_a', value: 1 } ]
};
Object.keys(operations_and_values).forEach(function (operation) {
var description = 'should search OTHER category using "' + operation + '"';
it(description, function (done) {
this.testClient = new TestClient(aggregationOperationMapConfig(operation, query_other, 'cat', 'val'));
this.testClient.widgetSearch('cat', 'other_a', function (err, res, searchResult) {
assert.ifError(err);
assert.ok(searchResult);
assert.equal(searchResult.type, 'aggregation');
assert.equal(searchResult.categories.length, 1);
assert.deepEqual(
searchResult.categories,
widgetSearchExpects[operation]
);
done();
});
});
});
});
describe('aggregation-dataview: special float values', function() {
afterEach(function(done) {
if (this.testClient) {
this.testClient.drain(done);
} else {
done();
}
});
function createMapConfig(layers, dataviews, analysis) {
return {
version: '1.5.0',
layers: layers,
dataviews: dataviews || {},
analyses: analysis || []
};
}
var mapConfig = createMapConfig(
[
{
"type": "cartodb",
"options": {
"source": {
"id": "a0"
},
"cartocss": "#points { marker-width: 10; marker-fill: red; }",
"cartocss_version": "2.3.0"
}
}
],
{
val_aggregation: {
source: {
id: 'a0'
},
type: 'aggregation',
options: {
column: 'cat',
aggregation: 'avg',
aggregationColumn: 'val'
}
},
sum_aggregation_numeric: {
source: {
id: 'a1'
},
type: 'aggregation',
options: {
column: 'cat',
aggregation: 'sum',
aggregationColumn: 'val'
}
}
},
[
{
"id": "a0",
"type": "source",
"params": {
"query": [
'SELECT',
' null::geometry the_geom_webmercator,',
' CASE',
' WHEN x % 4 = 0 THEN \'infinity\'::float',
' WHEN x % 4 = 1 THEN \'-infinity\'::float',
' WHEN x % 4 = 2 THEN \'NaN\'::float',
' ELSE x',
' END AS val,',
' CASE',
' WHEN x % 2 = 0 THEN \'category_1\'',
' ELSE \'category_2\'',
' END AS cat',
'FROM generate_series(1, 1000) x'
].join('\n')
}
}, {
"id": "a1",
"type": "source",
"params": {
"query": [
'SELECT',
' null::geometry the_geom_webmercator,',
' CASE',
' WHEN x % 3 = 0 THEN \'NaN\'::numeric',
' WHEN x % 3 = 1 THEN x',
' ELSE x',
' END AS val,',
' CASE',
' WHEN x % 2 = 0 THEN \'category_1\'',
' ELSE \'category_2\'',
' END AS cat',
'FROM generate_series(1, 1000) x'
].join('\n')
}
}
]
);
// Source a0
// -----------------------------------------------
// the_geom_webmercator | val | cat
// ----------------------+-----------+------------
// | -Infinity | category_2
// | NaN | category_1
// | 3 | category_2
// | Infinity | category_1
// | -Infinity | category_2
// | NaN | category_1
// | 7 | category_2
// | Infinity | category_1
// | -Infinity | category_2
// | NaN | category_1
// | 11 | category_2
// | " | "
var filters = [{ own_filter: 0 }, {}];
filters.forEach(function (filter) {
it('should handle special float values using filter: ' + JSON.stringify(filter), function(done) {
this.testClient = new TestClient(mapConfig, 1234);
this.testClient.getDataview('val_aggregation', filter, function(err, dataview) {
assert.ifError(err);
assert.ok(dataview.infinities === (250 + 250));
assert.ok(dataview.nans === 250);
assert.ok(dataview.categories.length === 1);
dataview.categories.forEach(function (category) {
assert.ok(category.category === 'category_2');
assert.ok(category.value === 501);
});
done();
});
});
it('should handle special numeric values using filter: ' + JSON.stringify(filter), function(done) {
this.testClient = new TestClient(mapConfig, 1234);
this.testClient.getDataview('sum_aggregation_numeric', filter, function(err, dataview) {
assert.ifError(err);
assert.ok(dataview.nans === 333);
assert.ok(dataview.categories.length === 2);
dataview.categories.forEach(function (category) {
assert.ok(category.value !== null);
});
done();
});
});
});
});
describe('aggregation dataview tuned by categories query param', function () {
const mapConfig = {
version: '1.5.0',
layers: [
{
type: "cartodb",
options: {
source: {
"id": "a0"
},
cartocss: "#points { marker-width: 10; marker-fill: red; }",
cartocss_version: "2.3.0"
}
}
],
dataviews: {
categories: {
source: {
id: 'a0'
},
type: 'aggregation',
options: {
column: 'cat',
aggregation: 'sum',
aggregationColumn: 'val'
}
}
},
analyses: [
{
id: "a0",
type: "source",
params: {
query: `
SELECT
null::geometry the_geom_webmercator,
CASE
WHEN x % 4 = 0 THEN 1
WHEN x % 4 = 1 THEN 2
WHEN x % 4 = 2 THEN 3
ELSE 4
END AS val,
CASE
WHEN x % 4 = 0 THEN 'category_1'
WHEN x % 4 = 1 THEN 'category_2'
WHEN x % 4 = 2 THEN 'category_3'
ELSE 'category_4'
END AS cat
FROM generate_series(1, 1000) x
`
}
}
]
};
beforeEach(function () {
this.testClient = new TestClient(mapConfig, 1234);
});
afterEach(function (done) {
this.testClient.drain(done);
});
var scenarios = [
{
params: { own_filter: 0, categories: -1 },
categoriesExpected: 4
},
{
params: { own_filter: 0, categories: 0 },
categoriesExpected: 4
},
{
params: { own_filter: 0, categories: 1 },
categoriesExpected: 1
},
{
params: { own_filter: 0, categories: 2 },
categoriesExpected: 2
},
{
params: { own_filter: 0, categories: 4 },
categoriesExpected: 4
},
{
params: { own_filter: 0, categories: 5 },
categoriesExpected: 4
}
];
scenarios.forEach(function (scenario) {
it(`should handle cartegories to customize aggregations: ${JSON.stringify(scenario.params)}`, function (done) {
this.testClient.getDataview('categories', scenario.params, (err, dataview) => {
assert.ifError(err);
assert.equal(dataview.categories.length, scenario.categoriesExpected);
done();
});
});
});
});
describe('Count aggregation', function () {
const mapConfig = {
version: '1.5.0',
layers: [
{
type: "cartodb",
options: {
source: {
"id": "a0"
},
cartocss: "#points { marker-width: 10; marker-fill: red; }",
cartocss_version: "2.3.0"
}
}
],
dataviews: {
categories: {
source: {
id: 'a0'
},
type: 'aggregation',
options: {
column: 'cat',
aggregation: 'count'
}
}
},
analyses: [
{
id: "a0",
type: "source",
params: {
query: `
SELECT
null::geometry the_geom_webmercator,
CASE
WHEN x % 4 = 0 THEN 1
WHEN x % 4 = 1 THEN 2
WHEN x % 4 = 2 THEN 3
ELSE null
END AS val,
CASE
WHEN x % 4 = 0 THEN 'category_1'
WHEN x % 4 = 1 THEN 'category_2'
WHEN x % 4 = 2 THEN 'category_3'
ELSE null
END AS cat
FROM generate_series(1, 1000) x
`
}
}
]
};
it(`should handle null values correctly when aggregationColumn isn't provided`, function (done) {
this.testClient = new TestClient(mapConfig, 1234);
this.testClient.getDataview('categories', { own_filter: 0, categories: 0 }, (err, dataview) => {
assert.ifError(err);
assert.equal(dataview.categories.length, 3);
this.testClient.drain(done);
});
});
it(`should handle null values correctly when aggregationColumn is provided`, function (done) {
mapConfig.dataviews.categories.options.aggregationColumn = 'val';
this.testClient = new TestClient(mapConfig, 1234);
this.testClient.getDataview('categories', { own_filter: 0, categories: 0 }, (err, dataview) => {
assert.ifError(err);
assert.equal(dataview.categories.length, 3);
this.testClient.drain(done);
});
});
});