Windshaft-cartodb/test/acceptance/dataviews/overviews.js
Ivan Malagon 1664975dd1 Add spec
2017-12-13 10:43:43 +01:00

650 lines
22 KiB
JavaScript

require('../../support/test_helper');
var assert = require('../../support/assert');
var TestClient = require('../../support/test-client');
describe('dataviews using tables without overviews', function() {
var nonOverviewsMapConfig = {
version: '1.5.0',
analyses: [
{ id: 'data-source',
type: 'source',
params: {
query: 'select * from populated_places_simple_reduced'
}
}
],
dataviews: {
country_places_count: {
type: 'formula',
source: {id: 'data-source'},
options: {
column: 'adm0_a3',
operation: 'count'
}
},
country_categories: {
type: 'aggregation',
source: {id: 'data-source'},
options: {
column: 'adm0_a3',
aggregation: 'count'
}
}
},
layers: [
{
type: 'mapnik',
options: {
sql: 'select * from populated_places_simple_reduced',
cartocss: '#layer { marker-fill: red; marker-width: 32; marker-allow-overlap: true; }',
cartocss_version: '2.3.0',
source: { id: 'data-source' }
}
}
]
};
it("should expose a formula", function(done) {
var testClient = new TestClient(nonOverviewsMapConfig);
testClient.getDataview('country_places_count', { own_filter: 0 }, function(err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, { operation: 'count', result: 7313, nulls: 0, type: 'formula' });
testClient.drain(done);
});
});
it("should admit a bbox", function(done) {
var params = {
bbox: "-170,-80,170,80"
};
var testClient = new TestClient(nonOverviewsMapConfig);
testClient.getDataview('country_places_count', params, function(err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, { operation: 'count', result: 7253, nulls: 0, type: 'formula' });
testClient.drain(done);
});
});
describe('filters', function() {
describe('category', function () {
it("should expose a filtered formula", function (done) {
var params = {
filters: {
dataviews: {country_categories: {accept: ['CAN']}}
}
};
var testClient = new TestClient(nonOverviewsMapConfig);
testClient.getDataview('country_places_count', params, function (err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, { operation: 'count', result: 256, nulls: 0, type: 'formula' });
testClient.drain(done);
});
});
it("should expose a filtered formula and admit a bbox", function (done) {
var params = {
filters: {
dataviews: {country_categories: {accept: ['CAN']}}
},
bbox: "-170,-80,170,80"
};
var testClient = new TestClient(nonOverviewsMapConfig);
testClient.getDataview('country_places_count', params, function (err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, { operation: 'count', result: 254, nulls: 0, type: 'formula' });
testClient.drain(done);
});
});
});
});
});
describe('dataviews using tables with overviews', function() {
var overviewsMapConfig = {
version: '1.5.0',
analyses: [
{ id: 'data-source',
type: 'source',
params: {
query: 'select * from test_table_overviews'
}
},
{
id: 'data-source-special-float-values',
type: 'source',
params: {
query: 'select * from test_special_float_values_table_overviews'
}
}
],
dataviews: {
test_sum: {
type: 'formula',
source: {id: 'data-source'},
options: {
column: 'value',
operation: 'sum'
}
},
test_categories: {
type: 'aggregation',
source: {id: 'data-source'},
options: {
column: 'name',
aggregation: 'count',
aggregationColumn: 'name',
}
},
test_categories_special_values: {
type: 'aggregation',
source: {
id: 'data-source-special-float-values'
},
options: {
column: 'name',
aggregation: 'sum',
aggregationColumn: 'value',
}
},
test_histogram: {
type: 'histogram',
source: {id: 'data-source'},
options: {
column: 'value',
bins: 2
}
},
test_histogram_date: {
type: 'histogram',
source: {id: 'data-source'},
options: {
column: 'updated_at',
bins: 2
}
},
test_histogram_special_values: {
type: 'histogram',
source: {
id: 'data-source-special-float-values'
},
options: {
column: 'value',
bins: 2
}
},
test_avg: {
type: 'formula',
source: {id: 'data-source'},
options: {
column: 'value',
operation: 'avg'
}
},
test_formula_sum_special_values: {
type: 'formula',
source: {
id: 'data-source-special-float-values'
},
options: {
column: 'value',
operation: 'sum'
}
},
test_count: {
type: 'formula',
source: {id: 'data-source'},
options: {
column: 'value',
operation: 'count'
}
},
test_min: {
type: 'formula',
source: {id: 'data-source'},
options: {
column: 'value',
operation: 'min'
}
},
test_max: {
type: 'formula',
source: {id: 'data-source'},
options: {
column: 'value',
operation: 'max'
}
}
},
layers: [
{
type: 'mapnik',
options: {
sql: 'select * from test_table_overviews',
cartocss: '#layer { marker-fill: red; marker-width: 32; marker-allow-overlap: true; }',
cartocss_version: '2.3.0',
source: { id: 'data-source' }
}
},
{
type: 'mapnik',
options: {
sql: 'select * from test_special_float_values_table_overviews',
cartocss: '#layer { marker-fill: red; marker-width: 32; marker-allow-overlap: true; }',
cartocss_version: '2.3.0',
source: {
id: 'data-source-special-float-values'
}
}
}
]
};
it("should expose a sum formula", function(done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_sum', { own_filter: 0 }, function(err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, {
"operation":"sum",
"result":15,
"infinities": 0,
"nans": 0,
"nulls":0,
"type":"formula"
});
testClient.drain(done);
});
});
it("should expose an avg formula", function(done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_avg', { own_filter: 0 }, function(err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, {
"operation":"avg",
"result":3,
"nulls":0,
"type":"formula",
"infinities": 0,
"nans": 0
});
testClient.drain(done);
});
});
it("should expose a count formula", function(done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_count', { own_filter: 0 }, function(err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, {
"operation":"count",
"result":5,
"nulls":0,
"type":"formula",
"infinities": 0,
"nans": 0
});
testClient.drain(done);
});
});
it("should expose a max formula", function(done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_max', { own_filter: 0 }, function(err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, {
"operation": "max",
"result": 5,
"nulls": 0,
"infinities": 0,
"nans": 0,
"type": "formula"
});
testClient.drain(done);
});
});
it("should expose a min formula", function(done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_min', { own_filter: 0 }, function(err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, {
"operation": "min",
"result": 1,
"nulls": 0,
"infinities": 0,
"nans": 0,
"type": "formula"
});
testClient.drain(done);
});
});
it("should admit a bbox", function(done) {
var params = {
bbox: "-170,-80,170,80"
};
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_sum', params, function(err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, {
"operation":"sum",
"result":15,
"nulls":0,
"infinities": 0,
"nans": 0,
"type":"formula"
});
testClient.drain(done);
});
});
it("should expose a histogram", function (done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_histogram', function (err, histogram) {
if (err) {
return done(err);
}
assert.ok(histogram);
assert.equal(histogram.type, 'histogram');
assert.ok(Array.isArray(histogram.bins));
testClient.drain(done);
});
});
describe('filters', function() {
describe('histogram', function () {
it("should expose a filtered histogram", function (done) {
var params = {
filters: {
dataviews: { test_histogram: { min: 2 } }
},
own_filter: 1
};
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_histogram', params, function (err, histogram) {
if (err) {
return done(err);
}
assert.ok(histogram);
assert.equal(histogram.type, 'histogram');
assert.ok(Array.isArray(histogram.bins));
assert.equal(histogram.bins.length, 4);
testClient.drain(done);
});
});
it("should expose a filtered histogram with no results", function (done) {
var params = {
filters: {
dataviews: { test_histogram: { max: -1 } }
},
own_filter: 1
};
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_histogram', params, function (err, histogram) {
if (err) {
return done(err);
}
assert.ok(histogram);
assert.equal(histogram.type, 'histogram');
assert.ok(Array.isArray(histogram.bins));
assert.equal(histogram.bins.length, 0);
testClient.drain(done);
});
});
it("should expose a filtered date histogram with no results", function (done) {
// This most likely works because the overviews will pass
// the responsibility to the normal dataviews.
var params = {
filters: {
dataviews: { test_histogram_date: { max: -1 } }
},
own_filter: 1
};
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_histogram_date', params, function (err, histogram) {
if (err) {
return done(err);
}
assert.ok(histogram);
assert.equal(histogram.type, 'histogram');
assert.ok(Array.isArray(histogram.bins));
assert.equal(histogram.bins.length, 0);
testClient.drain(done);
});
});
});
describe('category', function () {
var params = {
filters: {
dataviews: {test_categories: {accept: ['Hawai']}}
}
};
it("should expose a filtered sum formula", function (done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_sum', params, function (err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, {
"operation":"sum",
"result":1,
"nulls":0,
"infinities": 0,
"nans": 0,
"type":"formula"
});
testClient.drain(done);
});
});
it("should expose a filtered avg formula", function(done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_avg', params, function(err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, {
"operation":"avg",
"result":1,
"nulls":0,
"infinities": 0,
"nans": 0,
"type":"formula"
});
testClient.drain(done);
});
});
it("should expose a filtered count formula", function(done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_count', params, function(err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, {
"operation":"count",
"result":1,
"infinities": 0,
"nans": 0,
"nulls":0,
"type":"formula"
});
testClient.drain(done);
});
});
it("should expose a filterd max formula", function(done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_max', params, function(err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, {
"operation": "max",
"result": 1,
"nulls": 0,
"infinities": 0,
"nans": 0,
"type": "formula"
});
testClient.drain(done);
});
});
it("should expose a filterd min formula", function(done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_min', params, function(err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, {
"operation": "min",
"result": 1,
"nulls": 0,
"infinities": 0,
"nans": 0,
"type": "formula"
});
testClient.drain(done);
});
});
it("should expose a filtered sum formula with bbox", function (done) {
var bboxparams = {
filters: {
dataviews: {test_categories: {accept: ['Hawai']}}
},
bbox: "-170,-80,170,80"
};
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_sum', bboxparams, function (err, formula_result) {
if (err) {
return done(err);
}
assert.deepEqual(formula_result, {
"operation":"sum",
"result":1,
"nulls":0,
"infinities": 0,
"nans": 0,
"type":"formula"
});
testClient.drain(done);
});
});
});
describe('aggregation special float values', function () {
var params = {};
it("should expose an aggregation dataview filtering special float values out", function (done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_categories_special_values', params, function (err, dataview) {
if (err) {
return done(err);
}
assert.deepEqual(dataview, {
aggregation: 'sum',
count: 5,
nulls: 0,
nans: 1,
infinities: 1,
min: 6,
max: 6,
categoriesCount: 1,
categories: [ { category: 'Hawai', value: 6, agg: false } ],
type: 'aggregation'
});
testClient.drain(done);
});
});
it('should expose a histogram dataview filtering special float values out', function (done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_histogram_special_values', params, function (err, dataview) {
if (err) {
return done(err);
}
assert.deepEqual(dataview, {
bin_width: 0,
bins_count: 1,
bins_start: 3,
nulls: 0,
infinities: 1,
nans: 1,
avg: 3,
bins: [ { bin: 0, min: 3, max: 3, avg: 3, freq: 2 } ],
type: 'histogram'
});
testClient.drain(done);
});
});
it('should expose a formula (sum) dataview filtering special float values out', function (done) {
var testClient = new TestClient(overviewsMapConfig);
testClient.getDataview('test_formula_sum_special_values', params, function (err, dataview) {
if (err) {
return done(err);
}
assert.deepEqual(dataview, {
operation: 'sum',
result: 6,
nulls: 0,
nans: 1,
infinities: 1,
type: 'formula'
});
testClient.drain(done);
});
});
});
});
});