1239 lines
45 KiB
JavaScript
1239 lines
45 KiB
JavaScript
require('../support/test_helper');
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const assert = require('../support/assert');
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const TestClient = require('../support/test-client');
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const serverOptions = require('../../lib/cartodb/server_options');
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const suites = [{
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desc: 'mvt (mapnik)',
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usePostGIS: false
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}];
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if (process.env.POSTGIS_VERSION === '2.4') {
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suites.push({
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desc: 'mvt (postgis)',
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usePostGIS: true
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});
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}
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describe('aggregation', function () {
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const POINTS_SQL_1 = `
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select
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x + 4 as cartodb_id,
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st_setsrid(st_makepoint(x*10, x*10), 4326) as the_geom,
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st_transform(st_setsrid(st_makepoint(x*10, x*10), 4326), 3857) as the_geom_webmercator,
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x as value
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from generate_series(-3, 3) x
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`;
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const POINTS_SQL_TIMESTAMP_1 = `
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select
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row_number() over() AS cartodb_id,
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st_setsrid(st_makepoint(x*10, x*10), 4326) as the_geom,
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st_transform(st_setsrid(st_makepoint(x*10, x*10), 4326), 3857) as the_geom_webmercator,
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x as value,
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date
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from
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generate_series(-3, 3) x,
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generate_series(
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'2007-02-15 01:00:00'::timestamp, '2007-02-18 01:00:00'::timestamp, '1 day'::interval
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) date
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`;
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const POINTS_SQL_2 = `
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select
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x + 4 as cartodb_id,
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st_setsrid(st_makepoint(x*10, x*10*(-1)), 4326) as the_geom,
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st_transform(st_setsrid(st_makepoint(x*10, x*10*(-1)), 4326), 3857) as the_geom_webmercator,
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x as value,
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x*x as sqrt_value
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from generate_series(-3, 3) x
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`;
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const POLYGONS_SQL_1 = `
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select
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x + 4 as cartodb_id,
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st_buffer(st_setsrid(st_makepoint(x*10, x*10), 4326)::geography, 100000)::geometry as the_geom,
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st_transform(
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st_buffer(st_setsrid(st_makepoint(x*10, x*10), 4326)::geography, 100000)::geometry,
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3857
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) as the_geom_webmercator,
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x as value
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from generate_series(-3, 3) x
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`;
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const SQL_WRAP = `
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WITH hgrid AS (
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SELECT
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CDB_RectangleGrid (
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ST_Expand(!bbox!, CDB_XYZ_Resolution(1) * 12),
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CDB_XYZ_Resolution(1) * 12,
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CDB_XYZ_Resolution(1) * 12
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) as cell
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)
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SELECT
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hgrid.cell as the_geom_webmercator,
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count(1) as agg_value,
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count(1) /power( 12 * CDB_XYZ_Resolution(1), 2 ) as agg_value_density,
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row_number() over () as cartodb_id
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FROM hgrid, (<%= sql %>) i
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WHERE ST_Intersects(i.the_geom_webmercator, hgrid.cell) GROUP BY hgrid.cell
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`;
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const TURBO_CARTOCSS_SQL_WRAP = `
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#layer {
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polygon-fill: ramp([agg_value], (#245668, #04817E, #39AB7E, #8BD16D, #EDEF5D), quantiles);
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}
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#layer::outline {
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line-width: 1;
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line-color: #FFFFFF;
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line-opacity: 1;
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}
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`;
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function createVectorMapConfig (layers = [
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{
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type: 'cartodb',
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options: {
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sql: POINTS_SQL_1,
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aggregation: true
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}
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},
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{
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type: 'cartodb',
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options: {
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sql: POINTS_SQL_2,
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aggregation: true
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}
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}
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]) {
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return {
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version: '1.6.0',
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layers: layers
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};
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}
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suites.forEach((suite) => {
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const { desc, usePostGIS } = suite;
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describe(desc, function () {
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const originalUsePostGIS = serverOptions.renderer.mvt.usePostGIS;
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before(function () {
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serverOptions.renderer.mvt.usePostGIS = usePostGIS;
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});
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after(function (){
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serverOptions.renderer.mvt.usePostGIS = originalUsePostGIS;
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});
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afterEach(function (done) {
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this.testClient.drain(done);
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});
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it('should return a layergroup indicating the mapconfig was aggregated', 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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sql: POINTS_SQL_1,
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aggregation: {
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threshold: 1
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}
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}
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},
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{
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type: 'cartodb',
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options: {
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sql: POINTS_SQL_2,
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aggregation: {
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threshold: 1
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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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this.testClient.getLayergroup((err, body) => {
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if (err) {
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return done(err);
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}
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assert.equal(typeof body.metadata, 'object');
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assert.ok(Array.isArray(body.metadata.layers));
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body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.mvt));
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body.metadata.layers.forEach(layer => assert.ok(!layer.meta.aggregation.png));
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done();
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});
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});
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it('should return a NOT aggregated layergroup', 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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sql: POINTS_SQL_1,
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cartocss: '#layer { marker-width: [value]; }',
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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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this.testClient = new TestClient(this.mapConfig);
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this.testClient.getLayergroup((err, body) => {
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if (err) {
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return done(err);
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}
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assert.equal(typeof body.metadata, 'object');
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assert.ok(Array.isArray(body.metadata.layers));
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body.metadata.layers.forEach(layer => assert.equal(layer.meta.aggregation, undefined));
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done();
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});
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});
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it('should return a layergroup with aggregation and cartocss compatible', 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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sql: POINTS_SQL_1,
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aggregation: {
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columns: {
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total: {
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aggregate_function: 'sum',
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aggregated_column: 'value'
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}
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},
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threshold: 1
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},
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cartocss: '#layer { marker-width: [total]; }',
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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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this.testClient = new TestClient(this.mapConfig);
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this.testClient.getLayergroup((err, body) => {
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if (err) {
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return done(err);
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}
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assert.equal(typeof body.metadata, 'object');
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assert.ok(Array.isArray(body.metadata.layers));
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body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.mvt));
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body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.png));
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done();
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});
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});
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it('should fail when aggregation and cartocss are not compatible', function (done) {
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const response = {
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status: 400,
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headers: {
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'Content-Type': 'application/json; charset=utf-8'
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}
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};
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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: POINTS_SQL_1,
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aggregation: {
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columns: {
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total: {
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aggregate_function: 'sum',
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aggregated_column: 'value'
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}
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},
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threshold: 1
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},
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cartocss: '#layer { marker-width: [value]; }',
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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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this.testClient = new TestClient(this.mapConfig);
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this.testClient.getLayergroup({ response }, (err, body) => {
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if (err) {
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return done(err);
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}
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assert.ok(body.errors[0].match(/column "value" does not exist/));
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done();
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});
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});
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it('should fail if cartocss uses "value" column and it\'s not defined in the aggregation',
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function (done) {
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const response = {
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status: 400,
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headers: {
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'Content-Type': 'application/json; charset=utf-8'
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}
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};
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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: POINTS_SQL_2,
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aggregation: {
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threshold: 1,
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placement: 'centroid'
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},
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cartocss: '#layer { marker-width: [value]; }',
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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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this.testClient = new TestClient(this.mapConfig);
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this.testClient.getLayergroup({ response }, (err, body) => {
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if (err) {
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return done(err);
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}
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assert.ok(body.errors[0].match(/column "value" does not exist/));
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done();
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});
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});
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it('should provide all columns in the default aggregation ',
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function (done) {
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const response = {
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status: 200,
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headers: {
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'Content-Type': 'application/json; charset=utf-8'
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}
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};
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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: POINTS_SQL_2,
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aggregation: {
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threshold: 1
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},
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cartocss: '#layer { marker-width: [value]; }',
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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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this.testClient = new TestClient(this.mapConfig);
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this.testClient.getLayergroup({ response }, (err, body) => {
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if (err) {
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return done(err);
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}
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assert.equal(typeof body.metadata, 'object');
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assert.ok(Array.isArray(body.metadata.layers));
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body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.mvt));
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body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.png));
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done();
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});
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});
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it('should skip aggregation to create a layergroup with aggregation defined already', function (done) {
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const mapConfig = createVectorMapConfig([
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{
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type: 'cartodb',
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options: {
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sql: POINTS_SQL_1,
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aggregation: {
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columns: {
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total: {
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aggregate_function: 'sum',
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aggregated_column: 'value'
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}
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},
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threshold: 1
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}
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}
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}
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]);
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this.testClient = new TestClient(mapConfig);
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const options = { aggregation: false };
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this.testClient.getLayergroup(options, (err, body) => {
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if (err) {
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return done(err);
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}
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assert.equal(typeof body.metadata, 'object');
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assert.ok(Array.isArray(body.metadata.layers));
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body.metadata.layers.forEach(layer => assert.equal(layer.meta.aggregation, undefined));
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done();
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});
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});
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it('when the aggregation param is not valid should respond with error', function (done) {
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const mapConfig = createVectorMapConfig([
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{
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type: 'cartodb',
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options: {
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sql: POINTS_SQL_1,
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aggregation: {
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threshold: 1
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}
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}
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}
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]);
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this.testClient = new TestClient(mapConfig);
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const options = {
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response: {
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status: 400
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},
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aggregation: 'wadus'
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};
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this.testClient.getLayergroup(options, (err, body) => {
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if (err) {
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return done(err);
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}
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assert.deepEqual(body, {
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errors: [
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"Invalid value for 'aggregation' query param: wadus." +
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" Valid ones are 'true' or 'false'"
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],
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errors_with_context:[{
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type: 'unknown',
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message: "Invalid value for 'aggregation' query param: wadus." +
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" Valid ones are 'true' or 'false'"
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}]
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});
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done();
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});
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});
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it('when the layer\'s row count is lower than threshold should skip aggregation', function (done) {
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const mapConfig = createVectorMapConfig([
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{
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type: 'cartodb',
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options: {
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sql: POINTS_SQL_1,
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aggregation: {
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columns: {
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total: {
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aggregate_function: 'sum',
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aggregated_column: 'value'
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}
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},
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threshold: 1001
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}
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}
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}
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]);
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this.testClient = new TestClient(mapConfig);
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const options = {};
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this.testClient.getLayergroup(options, (err, body) => {
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if (err) {
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return done(err);
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}
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assert.equal(typeof body.metadata, 'object');
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assert.ok(Array.isArray(body.metadata.layers));
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body.metadata.layers.forEach(layer =>{
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assert.deepEqual(layer.meta.aggregation, { png: false, mvt: false });
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});
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done();
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});
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});
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it('when the layer\'s geometry type is not point should respond with error', function (done) {
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const mapConfig = createVectorMapConfig([
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{
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type: 'cartodb',
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options: {
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sql: POLYGONS_SQL_1,
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aggregation: {
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threshold: 1
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}
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}
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}
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]);
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this.testClient = new TestClient(mapConfig);
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const options = {
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response: {
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status: 400
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}
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};
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this.testClient.getLayergroup(options, (err, body) => {
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if (err) {
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return done(err);
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}
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assert.deepEqual(body, {
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errors: [
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'Unsupported geometry type: ST_Polygon.' +
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' Aggregation is available only for geometry type: ST_Point'
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],
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errors_with_context:[{
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type: 'layer',
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message: 'Unsupported geometry type: ST_Polygon.' +
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' Aggregation is available only for geometry type: ST_Point',
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layer: {
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id: 'layer0',
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index: 0,
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type: 'mapnik'
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}
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}]
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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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it('when sql_wrap is provided should return a layergroup', 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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sql_wrap: SQL_WRAP,
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sql: POINTS_SQL_1,
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aggregation: {
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threshold: 1
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},
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cartocss: TURBO_CARTOCSS_SQL_WRAP,
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cartocss_version: '3.0.12'
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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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this.testClient.getLayergroup((err, body) => {
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if (err) {
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return done(err);
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}
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assert.equal(typeof body.metadata, 'object');
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assert.ok(Array.isArray(body.metadata.layers));
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body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.mvt));
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body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.png));
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done();
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});
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});
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it('when sql_wrap is provided should return a tile', 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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sql_wrap: SQL_WRAP,
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sql: POINTS_SQL_1,
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aggregation: {
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threshold: 1
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},
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cartocss: TURBO_CARTOCSS_SQL_WRAP,
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cartocss_version: '3.0.12'
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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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this.testClient.getTile(0, 0, 0, {}, (err) => {
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if (err) {
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return done(err);
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}
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done();
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});
|
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});
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it('when dimensions is provided should return a tile returning the column used as dimensions',
|
|
function (done) {
|
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this.mapConfig = createVectorMapConfig([
|
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{
|
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type: 'cartodb',
|
|
options: {
|
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sql: POINTS_SQL_1,
|
|
aggregation: {
|
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threshold: 1,
|
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dimensions: {
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value: "value"
|
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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);
|
|
const options = {
|
|
format: 'mvt'
|
|
};
|
|
this.testClient.getTile(0, 0, 0, options, (err, res, tile) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
const tileJSON = tile.toJSON();
|
|
|
|
tileJSON[0].features.forEach(feature => assert.equal(typeof feature.properties.value, 'number'));
|
|
|
|
done();
|
|
});
|
|
});
|
|
|
|
['centroid', 'point-sample', 'point-grid'].forEach(placement => {
|
|
it(`dimensions should work for ${placement} placement`, function(done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_1,
|
|
aggregation: {
|
|
placement: placement ,
|
|
threshold: 1,
|
|
dimensions: {
|
|
value: "value"
|
|
}
|
|
}
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
const options = {
|
|
format: 'mvt'
|
|
};
|
|
this.testClient.getTile(0, 0, 0, options, (err, res, tile) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
const tileJSON = tile.toJSON();
|
|
|
|
tileJSON[0].features.forEach(
|
|
feature => assert.equal(typeof feature.properties.value, 'number')
|
|
);
|
|
|
|
done();
|
|
});
|
|
});
|
|
});
|
|
|
|
it(`dimensions should trigger non-default aggregation`, function(done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_2,
|
|
aggregation: {
|
|
threshold: 1,
|
|
dimensions: {
|
|
value: "value"
|
|
}
|
|
}
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
const options = {
|
|
format: 'mvt'
|
|
};
|
|
this.testClient.getTile(0, 0, 0, options, (err, res, tile) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
const tileJSON = tile.toJSON();
|
|
|
|
tileJSON[0].features.forEach(
|
|
feature => assert.equal(typeof feature.properties.value, 'number')
|
|
);
|
|
tileJSON[0].features.forEach(
|
|
feature => assert.equal(typeof feature.properties.sqrt_value, 'undefined')
|
|
);
|
|
|
|
done();
|
|
});
|
|
});
|
|
|
|
it(`aggregation columns should trigger non-default aggregation`, function(done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_2,
|
|
aggregation: {
|
|
threshold: 1,
|
|
columns: {
|
|
value: {
|
|
aggregate_function: 'sum',
|
|
aggregated_column: 'value'
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
const options = {
|
|
format: 'mvt'
|
|
};
|
|
this.testClient.getTile(0, 0, 0, options, (err, res, tile) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
const tileJSON = tile.toJSON();
|
|
|
|
tileJSON[0].features.forEach(
|
|
feature => assert.equal(typeof feature.properties.value, 'number')
|
|
);
|
|
tileJSON[0].features.forEach(
|
|
feature => assert.equal(typeof feature.properties.sqrt_value, 'undefined')
|
|
);
|
|
|
|
done();
|
|
});
|
|
});
|
|
|
|
['centroid', 'point-sample', 'point-grid'].forEach(placement => {
|
|
it(`aggregations with base column names should work for ${placement} placement`, function(done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_1,
|
|
aggregation: {
|
|
placement: placement ,
|
|
threshold: 1,
|
|
columns: {
|
|
value: {
|
|
aggregate_function: 'sum',
|
|
aggregated_column: 'value'
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
const options = {
|
|
format: 'mvt'
|
|
};
|
|
this.testClient.getTile(0, 0, 0, options, (err, res, tile) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
const tileJSON = tile.toJSON();
|
|
|
|
tileJSON[0].features.forEach(
|
|
feature => assert.equal(typeof feature.properties.value, 'number')
|
|
);
|
|
|
|
done();
|
|
});
|
|
});
|
|
});
|
|
|
|
it('should work when the sql has single quotes', function (done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: `
|
|
SELECT
|
|
cartodb_id,
|
|
the_geom_webmercator,
|
|
the_geom,
|
|
value,
|
|
DATE_PART('day', date::timestamp - '1912-12-31 01:00:00'::timestamp )::numeric AS day
|
|
FROM (${POINTS_SQL_TIMESTAMP_1}) _query
|
|
`,
|
|
aggregation: {
|
|
threshold: 1
|
|
}
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
|
|
this.testClient.getLayergroup((err, body) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
assert.equal(typeof body.metadata, 'object');
|
|
assert.ok(Array.isArray(body.metadata.layers));
|
|
|
|
body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.mvt));
|
|
body.metadata.layers.forEach(layer => assert.ok(!layer.meta.aggregation.png));
|
|
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('aggregates with point-grid placement', function (done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_1,
|
|
aggregation: {
|
|
placement: 'point-grid',
|
|
columns: {
|
|
total: {
|
|
aggregate_function: 'sum',
|
|
aggregated_column: 'value'
|
|
},
|
|
v_avg: {
|
|
aggregate_function: 'avg',
|
|
aggregated_column: 'value'
|
|
}
|
|
},
|
|
threshold: 1
|
|
},
|
|
cartocss: '#layer { marker-width: [total]; }',
|
|
cartocss_version: '2.3.0'
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
this.testClient.getLayergroup((err, body) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
assert.equal(typeof body.metadata, 'object');
|
|
assert.ok(Array.isArray(body.metadata.layers));
|
|
|
|
body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.mvt));
|
|
body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.png));
|
|
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('aggregates with point-sample placement', function (done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_1,
|
|
aggregation: {
|
|
placement: 'point-sample',
|
|
columns: {
|
|
total: {
|
|
aggregate_function: 'sum',
|
|
aggregated_column: 'value'
|
|
},
|
|
v_avg: {
|
|
aggregate_function: 'avg',
|
|
aggregated_column: 'value'
|
|
}
|
|
},
|
|
threshold: 1
|
|
},
|
|
cartocss: '#layer { marker-width: [total]; }',
|
|
cartocss_version: '2.3.0'
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
this.testClient.getLayergroup((err, body) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
assert.equal(typeof body.metadata, 'object');
|
|
assert.ok(Array.isArray(body.metadata.layers));
|
|
|
|
body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.mvt));
|
|
body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.png));
|
|
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('aggregates with centroid placement', function (done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_1,
|
|
aggregation: {
|
|
placement: 'centroid',
|
|
columns: {
|
|
total: {
|
|
aggregate_function: 'sum',
|
|
aggregated_column: 'value'
|
|
},
|
|
v_avg: {
|
|
aggregate_function: 'avg',
|
|
aggregated_column: 'value'
|
|
}
|
|
},
|
|
threshold: 1
|
|
},
|
|
cartocss: '#layer { marker-width: [total]; }',
|
|
cartocss_version: '2.3.0'
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
this.testClient.getLayergroup((err, body) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
assert.equal(typeof body.metadata, 'object');
|
|
assert.ok(Array.isArray(body.metadata.layers));
|
|
|
|
body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.mvt));
|
|
body.metadata.layers.forEach(layer => assert.ok(layer.meta.aggregation.png));
|
|
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('aggregates with full-sample placement by default', function (done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_1,
|
|
resolution: 256,
|
|
aggregation: {
|
|
threshold: 1
|
|
}
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
|
|
this.testClient.getTile(0, 0, 0, { format: 'mvt' }, function (err, res, mvt) {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
const geojsonTile = JSON.parse(mvt.toGeoJSONSync(0));
|
|
|
|
assert.ok(Array.isArray(geojsonTile.features));
|
|
assert.ok(geojsonTile.features.length > 0);
|
|
|
|
const feature = geojsonTile.features[0];
|
|
|
|
assert.ok(feature.properties.hasOwnProperty('value'), 'Missing value property');
|
|
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should fail with bad resolution', function (done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
id: 'wadus',
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_1,
|
|
aggregation: {
|
|
resolution: 'wadus',
|
|
}
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
|
|
const options = {
|
|
response: {
|
|
status: 400
|
|
}
|
|
};
|
|
|
|
this.testClient.getLayergroup(options, (err, body) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
assert.deepEqual(body, {
|
|
errors: [ 'Invalid resolution, should be a number greather than 0' ],
|
|
errors_with_context:[{
|
|
type: 'layer',
|
|
message: 'Invalid resolution, should be a number greather than 0',
|
|
layer: {
|
|
"id": "wadus",
|
|
"index": 0,
|
|
"type": "mapnik"
|
|
}
|
|
}]
|
|
});
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should fail with bad placement', function (done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_1,
|
|
aggregation: {
|
|
placement: 'wadus',
|
|
}
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
|
|
const options = {
|
|
response: {
|
|
status: 400
|
|
}
|
|
};
|
|
|
|
this.testClient.getLayergroup(options, (err, body) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
assert.deepEqual(body, {
|
|
errors: [ 'Invalid placement. Valid values: centroid, point-grid, point-sample'],
|
|
errors_with_context:[{
|
|
type: 'layer',
|
|
message: 'Invalid placement. Valid values: centroid, point-grid, point-sample',
|
|
layer: {
|
|
id: "layer0",
|
|
index: 0,
|
|
type: "mapnik",
|
|
}
|
|
}]
|
|
});
|
|
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should fail with bad threshold', function (done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_1,
|
|
aggregation: {
|
|
threshold: 'wadus',
|
|
}
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
|
|
const options = {
|
|
response: {
|
|
status: 400
|
|
}
|
|
};
|
|
|
|
this.testClient.getLayergroup(options, (err, body) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
assert.deepEqual(body, {
|
|
errors: [ 'Invalid threshold, should be a number greather than 0' ],
|
|
errors_with_context:[{
|
|
type: 'layer',
|
|
message: 'Invalid threshold, should be a number greather than 0',
|
|
layer: {
|
|
"id": "layer0",
|
|
"index": 0,
|
|
"type": "mapnik"
|
|
}
|
|
}]
|
|
});
|
|
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should fail with bad column name', function (done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_1,
|
|
aggregation: {
|
|
columns : {
|
|
'': {
|
|
aggregate_function: 'count',
|
|
aggregated_column: 'value',
|
|
}
|
|
},
|
|
}
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
|
|
const options = {
|
|
response: {
|
|
status: 400
|
|
}
|
|
};
|
|
|
|
this.testClient.getLayergroup(options, (err, body) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
assert.deepEqual(body, {
|
|
errors: [ 'Invalid column name, should be a non empty string' ],
|
|
errors_with_context:[{
|
|
type: 'layer',
|
|
message: 'Invalid column name, should be a non empty string',
|
|
layer: {
|
|
"id": "layer0",
|
|
"index": 0,
|
|
"type": "mapnik"
|
|
}
|
|
}]
|
|
});
|
|
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should fail with bad aggregated function', function (done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_1,
|
|
aggregation: {
|
|
columns : {
|
|
'wadus_function': {
|
|
aggregate_function: 'wadus',
|
|
aggregated_column: 'value',
|
|
}
|
|
},
|
|
}
|
|
}
|
|
}
|
|
]);
|
|
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
|
|
const options = {
|
|
response: {
|
|
status: 400
|
|
}
|
|
};
|
|
|
|
this.testClient.getLayergroup(options, (err, body) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
assert.deepEqual(body, {
|
|
errors: [ 'Unsupported aggregation function wadus, ' +
|
|
'valid ones: count, avg, sum, min, max, mode' ],
|
|
errors_with_context:[{
|
|
type: 'layer',
|
|
message: 'Unsupported aggregation function wadus, ' +
|
|
'valid ones: count, avg, sum, min, max, mode',
|
|
layer: {
|
|
"id": "layer0",
|
|
"index": 0,
|
|
"type": "mapnik"
|
|
}
|
|
}]
|
|
});
|
|
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should fail with bad aggregated columns', function (done) {
|
|
this.mapConfig = createVectorMapConfig([
|
|
{
|
|
type: 'cartodb',
|
|
options: {
|
|
sql: POINTS_SQL_1,
|
|
aggregation: {
|
|
columns : {
|
|
'total_wadus': {
|
|
aggregate_function: 'sum',
|
|
aggregated_column: '',
|
|
}
|
|
},
|
|
}
|
|
}
|
|
}
|
|
]);
|
|
this.testClient = new TestClient(this.mapConfig);
|
|
|
|
const options = {
|
|
response: {
|
|
status: 400
|
|
}
|
|
};
|
|
|
|
this.testClient.getLayergroup(options, (err, body) => {
|
|
if (err) {
|
|
return done(err);
|
|
}
|
|
|
|
assert.deepEqual(body, {
|
|
errors: [ 'Invalid aggregated column, should be a non empty string' ],
|
|
errors_with_context:[{
|
|
type: 'layer',
|
|
message: 'Invalid aggregated column, should be a non empty string',
|
|
layer: {
|
|
"id": "layer0",
|
|
"index": 0,
|
|
"type": "mapnik"
|
|
}
|
|
}]
|
|
});
|
|
|
|
done();
|
|
});
|
|
});
|
|
|
|
});
|
|
});
|
|
});
|