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@@ -5,7 +5,7 @@ Make sure that you have the requirements needed. These are
|
||||
|
||||
- Core
|
||||
- Node.js >=6.9.x
|
||||
- yarn >=0.21.3
|
||||
- yarn >=0.27.5 <1.0.0
|
||||
- PostgreSQL >8.3.x, PostGIS >1.5.x
|
||||
- Redis >2.4.0 (http://www.redis.io)
|
||||
- Mapnik >3.x. See [Installing Mapnik](https://github.com/CartoDB/Windshaft#installing-mapnik).
|
||||
|
||||
66
NEWS.md
66
NEWS.md
@@ -1,5 +1,71 @@
|
||||
# Changelog
|
||||
|
||||
## 4.0.0
|
||||
Released 2017-10-04
|
||||
|
||||
Backward incompatible changes:
|
||||
- Removes `list` dataview type.
|
||||
|
||||
Announcements:
|
||||
- Upgrades body-parser to 1.18.2.
|
||||
- Upgrades express to 4.16.0.
|
||||
- Upgrades debug to 3.1.0.
|
||||
- Upgrades request to 2.83.0.
|
||||
- Upgrades turbo-carto to [0.20.1](https://github.com/CartoDB/turbo-carto/releases/tag/0.20.1)
|
||||
- Upgrades cartodb-psql to [0.10.2](https://github.com/CartoDB/node-cartodb-psql/releases/tag/0.10.2).
|
||||
- Upgrades camshaft to [0.59.2](https://github.com/CartoDB/camshaft/releases/tag/0.59.2).
|
||||
- Upgrades windshaft to [3.3.3](https://github.com/CartoDB/windshaft/releases/tag/3.3.3).
|
||||
- Upgrades yarn minimum version requirement to v0.27.5
|
||||
|
||||
|
||||
## 3.13.0
|
||||
Released 2017-10-02
|
||||
- Upgrades camshaft, cartodb-query-tables, and turbo-carto: better support for query variables.
|
||||
|
||||
Bugfixes:
|
||||
- Bounding box parameter ignored in static named maps #735.
|
||||
- camhaft 0.59.1 fixes duplicate columns in aggregate-intersection analysis
|
||||
|
||||
## 3.12.10
|
||||
Released 2017-09-18
|
||||
- Upgrades windshaft to [3.3.2](https://github.com/CartoDB/windshaft/releases/tag/3.3.2).
|
||||
|
||||
## 3.12.9
|
||||
Released 2017-09-07
|
||||
|
||||
Bug fixes:
|
||||
- Do not use distinct when calculating quantiles. #743
|
||||
|
||||
## 3.12.8
|
||||
Released 2017-09-07
|
||||
|
||||
Bug fixes:
|
||||
- Integer out of range in date histograms. (https://github.com/CartoDB/support/issues/962)
|
||||
|
||||
## 3.12.7
|
||||
Released 2017-09-01
|
||||
|
||||
- Upgrades camshaft to [0.58.1](https://github.com/CartoDB/camshaft/releases/tag/0.58.1).
|
||||
|
||||
|
||||
## 3.12.6
|
||||
Released 2017-08-31
|
||||
|
||||
- Upgrades camshaft to [0.58.0](https://github.com/CartoDB/camshaft/releases/tag/0.58.0).
|
||||
|
||||
|
||||
## 3.12.5
|
||||
Released 2017-08-24
|
||||
|
||||
- Upgrades camshaft to [0.57.0](https://github.com/CartoDB/camshaft/releases/tag/0.57.0).
|
||||
|
||||
|
||||
## 3.12.4
|
||||
Released 2017-08-23
|
||||
|
||||
Announcements:
|
||||
- Upgrades camshaft to [0.56.0](https://github.com/CartoDB/camshaft/releases/tag/0.56.0).
|
||||
|
||||
## 3.12.3
|
||||
Released 2017-08-22
|
||||
|
||||
|
||||
8
app.js
8
app.js
@@ -2,14 +2,20 @@ var http = require('http');
|
||||
var https = require('https');
|
||||
var path = require('path');
|
||||
var fs = require('fs');
|
||||
|
||||
var _ = require('underscore');
|
||||
var semver = require('semver');
|
||||
|
||||
// jshint undef:false
|
||||
var log = console.log.bind(console);
|
||||
var logError = console.error.bind(console);
|
||||
// jshint undef:true
|
||||
|
||||
var nodejsVersion = process.versions.node;
|
||||
if (!semver.satisfies(nodejsVersion, '>=6.9.0')) {
|
||||
logError(`Node version ${nodejsVersion} is not supported, please use Node.js 6.9 or higher.`);
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
var argv = require('yargs')
|
||||
.usage('Usage: $0 <environment> [options]')
|
||||
.help('h')
|
||||
|
||||
@@ -8,50 +8,13 @@ This specification describes an extension for
|
||||
|
||||
This extension depends on Analyses extension. It extends MapConfig with a new attribute: `dataviews`.
|
||||
|
||||
It makes possible to get tabular data from analysis nodes: lists, aggregated lists, aggregations, and histograms.
|
||||
It makes possible to get tabular data from analysis nodes: aggregated lists, aggregations, and histograms.
|
||||
|
||||
## 2.1. Dataview types
|
||||
|
||||
### List
|
||||
|
||||
A list is a simple result set per row where is possible to retrieve several columns from the original layer query.
|
||||
|
||||
Definition
|
||||
```
|
||||
{
|
||||
// REQUIRED
|
||||
// string, `type` the list type
|
||||
“type”: “list”,
|
||||
// REQUIRED
|
||||
// object, `options` dataview params
|
||||
“options”: {
|
||||
// REQUIRED
|
||||
// array, `columns` to select for the list
|
||||
“columns”: [“name”, “description”]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Expected output
|
||||
```
|
||||
{
|
||||
"type": "list",
|
||||
"rows": [
|
||||
{
|
||||
"{columnName1}": "val1",
|
||||
"{columnName2}": 100
|
||||
},
|
||||
{
|
||||
"{columnName1}": "val2",
|
||||
"{columnName2}": 200
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
### Aggregation
|
||||
|
||||
An aggregation is very similar to a list but results are aggregated by a column and a given aggregation function.
|
||||
An aggregation is a list with aggregated results by a column and a given aggregation function.
|
||||
|
||||
Definition
|
||||
```
|
||||
|
||||
@@ -21,10 +21,10 @@ function createTemplate(method) {
|
||||
}
|
||||
|
||||
var methods = {
|
||||
quantiles: 'CDB_QuantileBins(array_agg(distinct({{=it._column}}::numeric)), {{=it._buckets}}) as quantiles',
|
||||
quantiles: 'CDB_QuantileBins(array_agg({{=it._column}}::numeric), {{=it._buckets}}) as quantiles',
|
||||
equal: 'CDB_EqualIntervalBins(array_agg({{=it._column}}::numeric), {{=it._buckets}}) as equal',
|
||||
jenks: 'CDB_JenksBins(array_agg(distinct({{=it._column}}::numeric)), {{=it._buckets}}) as jenks',
|
||||
headtails: 'CDB_HeadsTailsBins(array_agg(distinct({{=it._column}}::numeric)), {{=it._buckets}}) as headtails'
|
||||
jenks: 'CDB_JenksBins(array_agg({{=it._column}}::numeric), {{=it._buckets}}) as jenks',
|
||||
headtails: 'CDB_HeadsTailsBins(array_agg({{=it._column}}::numeric), {{=it._buckets}}) as headtails'
|
||||
};
|
||||
|
||||
var methodTemplates = Object.keys(methods).reduce(function(methodTemplates, methodName) {
|
||||
|
||||
@@ -4,9 +4,6 @@ var _ = require('underscore');
|
||||
var step = require('step');
|
||||
var debug = require('debug')('windshaft:cartodb');
|
||||
|
||||
var LZMA = require('lzma').LZMA;
|
||||
var lzmaWorker = new LZMA();
|
||||
|
||||
// Whitelist query parameters and attach format
|
||||
var REQUEST_QUERY_PARAMS_WHITELIST = [
|
||||
'config',
|
||||
@@ -28,7 +25,7 @@ function BaseController(authApi, pgConnection) {
|
||||
|
||||
module.exports = BaseController;
|
||||
|
||||
// jshint maxcomplexity:10
|
||||
// jshint maxcomplexity:8
|
||||
/**
|
||||
* Whitelist input and get database name & default geometry type from
|
||||
* subdomain/user metadata held in CartoDB Redis
|
||||
@@ -38,35 +35,6 @@ module.exports = BaseController;
|
||||
BaseController.prototype.req2params = function(req, callback){
|
||||
var self = this;
|
||||
|
||||
if ( req.query.lzma ) {
|
||||
|
||||
// Decode (from base64)
|
||||
var lzma = new Buffer(req.query.lzma, 'base64')
|
||||
.toString('binary')
|
||||
.split('')
|
||||
.map(function(c) {
|
||||
return c.charCodeAt(0) - 128;
|
||||
});
|
||||
|
||||
|
||||
// Decompress
|
||||
lzmaWorker.decompress(
|
||||
lzma,
|
||||
function(result) {
|
||||
req.profiler.done('lzma');
|
||||
try {
|
||||
delete req.query.lzma;
|
||||
_.extend(req.query, JSON.parse(result));
|
||||
self.req2params(req, callback);
|
||||
} catch (err) {
|
||||
req.profiler.done('req2params');
|
||||
callback(new Error('Error parsing lzma as JSON: ' + err));
|
||||
}
|
||||
}
|
||||
);
|
||||
return;
|
||||
}
|
||||
|
||||
var allowedQueryParams = REQUEST_QUERY_PARAMS_WHITELIST;
|
||||
if (Array.isArray(req.context.allowedQueryParams)) {
|
||||
allowedQueryParams = allowedQueryParams.concat(req.context.allowedQueryParams);
|
||||
|
||||
@@ -32,7 +32,8 @@ NamedMapsController.prototype.register = function(app) {
|
||||
this.tile.bind(this));
|
||||
|
||||
app.get(app.base_url_mapconfig +
|
||||
'/static/named/:template_id/:width/:height.:format', cors(), userMiddleware, allowQueryParams(['layer']),
|
||||
'/static/named/:template_id/:width/:height.:format', cors(), userMiddleware,
|
||||
allowQueryParams(['layer', 'zoom', 'lon', 'lat', 'bbox']),
|
||||
this.staticMap.bind(this));
|
||||
};
|
||||
|
||||
|
||||
30
lib/cartodb/middleware/lzma.js
Normal file
30
lib/cartodb/middleware/lzma.js
Normal file
@@ -0,0 +1,30 @@
|
||||
'use strict';
|
||||
|
||||
var LZMA = require('lzma').LZMA;
|
||||
|
||||
var lzmaWorker = new LZMA();
|
||||
|
||||
module.exports = function lzmaMiddleware(req, res, next) {
|
||||
if (!req.query.hasOwnProperty('lzma')) {
|
||||
return next();
|
||||
}
|
||||
|
||||
// Decode (from base64)
|
||||
var lzma = new Buffer(req.query.lzma, 'base64')
|
||||
.toString('binary')
|
||||
.split('')
|
||||
.map(function(c) {
|
||||
return c.charCodeAt(0) - 128;
|
||||
});
|
||||
|
||||
// Decompress
|
||||
lzmaWorker.decompress(lzma, function(result) {
|
||||
try {
|
||||
delete req.query.lzma;
|
||||
Object.assign(req.query, JSON.parse(result));
|
||||
next();
|
||||
} catch (err) {
|
||||
next(new Error('Error parsing lzma as JSON: ' + err));
|
||||
}
|
||||
});
|
||||
};
|
||||
@@ -1,95 +1,178 @@
|
||||
var _ = require('underscore');
|
||||
var BaseWidget = require('./base');
|
||||
var debug = require('debug')('windshaft:widget:aggregation');
|
||||
const BaseDataview = require('./base');
|
||||
const debug = require('debug')('windshaft:dataview:aggregation');
|
||||
|
||||
var dot = require('dot');
|
||||
dot.templateSettings.strip = false;
|
||||
const filteredQueryTpl = ctx => `
|
||||
filtered_source AS (
|
||||
SELECT *
|
||||
FROM (${ctx.query}) _cdb_filtered_source
|
||||
${ctx.aggregationColumn && ctx.isFloatColumn ? `
|
||||
WHERE
|
||||
${ctx.aggregationColumn} != 'infinity'::float
|
||||
AND
|
||||
${ctx.aggregationColumn} != '-infinity'::float
|
||||
AND
|
||||
${ctx.aggregationColumn} != 'NaN'::float` :
|
||||
''
|
||||
}
|
||||
)
|
||||
`;
|
||||
|
||||
var filteredQueryTpl = dot.template([
|
||||
'filtered_source AS (',
|
||||
' SELECT *',
|
||||
' FROM ({{=it._query}}) _cdb_filtered_source',
|
||||
' {{?it._aggregationColumn && it._isFloatColumn}}WHERE',
|
||||
' {{=it._aggregationColumn}} != \'infinity\'::float',
|
||||
' AND',
|
||||
' {{=it._aggregationColumn}} != \'-infinity\'::float',
|
||||
' AND',
|
||||
' {{=it._aggregationColumn}} != \'NaN\'::float{{?}}',
|
||||
')'
|
||||
].join(' \n'));
|
||||
const summaryQueryTpl = ctx => `
|
||||
summary AS (
|
||||
SELECT
|
||||
count(1) AS count,
|
||||
sum(CASE WHEN ${ctx.column} IS NULL THEN 1 ELSE 0 END) AS nulls_count
|
||||
${ctx.isFloatColumn ? `,
|
||||
sum(
|
||||
CASE
|
||||
WHEN ${ctx.aggregationColumn} = 'infinity'::float OR ${ctx.aggregationColumn} = '-infinity'::float
|
||||
THEN 1
|
||||
ELSE 0
|
||||
END
|
||||
) AS infinities_count,
|
||||
sum(CASE WHEN ${ctx.aggregationColumn} = 'NaN'::float THEN 1 ELSE 0 END) AS nans_count` :
|
||||
''
|
||||
}
|
||||
FROM (${ctx.query}) _cdb_aggregation_nulls
|
||||
)
|
||||
`;
|
||||
|
||||
var summaryQueryTpl = dot.template([
|
||||
'summary AS (',
|
||||
' SELECT',
|
||||
' count(1) AS count,',
|
||||
' sum(CASE WHEN {{=it._column}} IS NULL THEN 1 ELSE 0 END) AS nulls_count',
|
||||
' {{?it._isFloatColumn}},sum(',
|
||||
' CASE',
|
||||
' WHEN {{=it._aggregationColumn}} = \'infinity\'::float OR {{=it._aggregationColumn}} = \'-infinity\'::float',
|
||||
' THEN 1',
|
||||
' ELSE 0',
|
||||
' END',
|
||||
' ) AS infinities_count,',
|
||||
' sum(CASE WHEN {{=it._aggregationColumn}} = \'NaN\'::float THEN 1 ELSE 0 END) AS nans_count{{?}}',
|
||||
' FROM ({{=it._query}}) _cdb_aggregation_nulls',
|
||||
')'
|
||||
].join('\n'));
|
||||
const rankedCategoriesQueryTpl = ctx => `
|
||||
categories AS(
|
||||
SELECT
|
||||
${ctx.column} AS category,
|
||||
${ctx.aggregationFn} AS value,
|
||||
row_number() OVER (ORDER BY ${ctx.aggregationFn} desc) as rank
|
||||
FROM filtered_source
|
||||
${ctx.aggregationColumn !== null ? `WHERE ${ctx.aggregationColumn} IS NOT NULL` : ''}
|
||||
GROUP BY ${ctx.column}
|
||||
ORDER BY 2 DESC
|
||||
)
|
||||
`;
|
||||
|
||||
var rankedCategoriesQueryTpl = dot.template([
|
||||
'categories AS(',
|
||||
' SELECT {{=it._column}} AS category, {{=it._aggregation}} AS value,',
|
||||
' row_number() OVER (ORDER BY {{=it._aggregation}} desc) as rank',
|
||||
' FROM filtered_source',
|
||||
' {{?it._aggregationColumn!==null}}WHERE {{=it._aggregationColumn}} IS NOT NULL{{?}}',
|
||||
' GROUP BY {{=it._column}}',
|
||||
' ORDER BY 2 DESC',
|
||||
')'
|
||||
].join('\n'));
|
||||
const categoriesSummaryMinMaxQueryTpl = () => `
|
||||
categories_summary_min_max AS(
|
||||
SELECT
|
||||
max(value) max_val,
|
||||
min(value) min_val
|
||||
FROM categories
|
||||
)
|
||||
`;
|
||||
|
||||
var categoriesSummaryMinMaxQueryTpl = dot.template([
|
||||
'categories_summary_min_max AS(',
|
||||
' SELECT max(value) max_val, min(value) min_val',
|
||||
' FROM categories',
|
||||
')'
|
||||
].join('\n'));
|
||||
const categoriesSummaryCountQueryTpl = ctx => `
|
||||
categories_summary_count AS(
|
||||
SELECT count(1) AS categories_count
|
||||
FROM (
|
||||
SELECT ${ctx.column} AS category
|
||||
FROM (${ctx.query}) _cdb_categories
|
||||
GROUP BY ${ctx.column}
|
||||
) _cdb_categories_count
|
||||
)
|
||||
`;
|
||||
|
||||
var categoriesSummaryCountQueryTpl = dot.template([
|
||||
'categories_summary_count AS(',
|
||||
' SELECT count(1) AS categories_count',
|
||||
' FROM (',
|
||||
' SELECT {{=it._column}} AS category',
|
||||
' FROM ({{=it._query}}) _cdb_categories',
|
||||
' GROUP BY {{=it._column}}',
|
||||
' ) _cdb_categories_count',
|
||||
')'
|
||||
].join('\n'));
|
||||
const specialNumericValuesColumns = () => `, nans_count, infinities_count`;
|
||||
|
||||
var rankedAggregationQueryTpl = dot.template([
|
||||
'SELECT CAST(category AS text), value, false as agg, nulls_count, min_val, max_val,',
|
||||
' count, categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}',
|
||||
' FROM categories, summary, categories_summary_min_max, categories_summary_count',
|
||||
' WHERE rank < {{=it._limit}}',
|
||||
'UNION ALL',
|
||||
'SELECT \'Other\' category, {{=it._aggregationFn}}(value) as value, true as agg, nulls_count,',
|
||||
' min_val, max_val, count, categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}',
|
||||
' FROM categories, summary, categories_summary_min_max, categories_summary_count',
|
||||
' WHERE rank >= {{=it._limit}}',
|
||||
'GROUP BY nulls_count, min_val, max_val, count,',
|
||||
' categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}'
|
||||
].join('\n'));
|
||||
const rankedAggregationQueryTpl = ctx => `
|
||||
SELECT
|
||||
CAST(category AS text),
|
||||
value,
|
||||
false as agg,
|
||||
nulls_count,
|
||||
min_val,
|
||||
max_val,
|
||||
count,
|
||||
categories_count
|
||||
${ctx.isFloatColumn ? `${specialNumericValuesColumns(ctx)}` : '' }
|
||||
FROM categories, summary, categories_summary_min_max, categories_summary_count
|
||||
WHERE rank < ${ctx.limit}
|
||||
UNION ALL
|
||||
SELECT
|
||||
'Other' category,
|
||||
${ctx.aggregation !== 'count' ? ctx.aggregation : 'sum'}(value) as value,
|
||||
true as agg,
|
||||
nulls_count,
|
||||
min_val,
|
||||
max_val,
|
||||
count,
|
||||
categories_count
|
||||
${ctx.isFloatColumn ? `${specialNumericValuesColumns(ctx)}` : '' }
|
||||
FROM categories, summary, categories_summary_min_max, categories_summary_count
|
||||
WHERE rank >= ${ctx.limit}
|
||||
GROUP BY
|
||||
nulls_count,
|
||||
min_val,
|
||||
max_val,
|
||||
count,
|
||||
categories_count
|
||||
${ctx.isFloatColumn ? `${specialNumericValuesColumns(ctx)}` : '' }
|
||||
`;
|
||||
|
||||
var aggregationQueryTpl = dot.template([
|
||||
'SELECT CAST({{=it._column}} AS text) AS category, {{=it._aggregation}} AS value, false as agg,',
|
||||
' nulls_count, min_val, max_val, count, categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}',
|
||||
'FROM ({{=it._query}}) _cdb_aggregation_all, summary, categories_summary_min_max, categories_summary_count',
|
||||
'GROUP BY category, nulls_count, min_val, max_val, count,',
|
||||
' categories_count{{?it._isFloatColumn}}, nans_count, infinities_count{{?}}',
|
||||
'ORDER BY value DESC'
|
||||
].join('\n'));
|
||||
const aggregationQueryTpl = ctx => `
|
||||
SELECT
|
||||
CAST(${ctx.column} AS text) AS category,
|
||||
${ctx.aggregationFn} AS value,
|
||||
false as agg,
|
||||
nulls_count,
|
||||
min_val,
|
||||
max_val,
|
||||
count,
|
||||
categories_count
|
||||
${ctx.isFloatColumn ? `${specialNumericValuesColumns(ctx)}` : '' }
|
||||
FROM (${ctx.query}) _cdb_aggregation_all, summary, categories_summary_min_max, categories_summary_count
|
||||
GROUP BY
|
||||
category,
|
||||
nulls_count,
|
||||
min_val,
|
||||
max_val,
|
||||
count,
|
||||
categories_count
|
||||
${ctx.isFloatColumn ? `${specialNumericValuesColumns(ctx)}` : '' }
|
||||
ORDER BY value DESC
|
||||
`;
|
||||
|
||||
var CATEGORIES_LIMIT = 6;
|
||||
const aggregationFnQueryTpl = ctx => `${ctx.aggregation}(${ctx.aggregationColumn})`;
|
||||
|
||||
var VALID_OPERATIONS = {
|
||||
const aggregationDataviewQueryTpl = ctx => `
|
||||
WITH
|
||||
${filteredQueryTpl(ctx)},
|
||||
${summaryQueryTpl(ctx)},
|
||||
${rankedCategoriesQueryTpl(ctx)},
|
||||
${categoriesSummaryMinMaxQueryTpl(ctx)},
|
||||
${categoriesSummaryCountQueryTpl(ctx)}
|
||||
${!!ctx.override.ownFilter ? `${aggregationQueryTpl(ctx)}` : `${rankedAggregationQueryTpl(ctx)}`}
|
||||
`;
|
||||
|
||||
const filterCategoriesQueryTpl = ctx => `
|
||||
SELECT
|
||||
${ctx.column} AS category,
|
||||
${ctx.value} AS value
|
||||
FROM (${ctx.query}) _cdb_aggregation_search
|
||||
WHERE CAST(${ctx.column} as text) ILIKE ${ctx.userQuery}
|
||||
GROUP BY ${ctx.column}
|
||||
`;
|
||||
|
||||
const searchQueryTpl = ctx => `
|
||||
WITH
|
||||
search_unfiltered AS (
|
||||
${ctx.searchUnfiltered}
|
||||
),
|
||||
search_filtered AS (
|
||||
${ctx.searchFiltered}
|
||||
),
|
||||
search_union AS (
|
||||
SELECT * FROM search_unfiltered
|
||||
UNION ALL
|
||||
SELECT * FROM search_filtered
|
||||
)
|
||||
SELECT category, sum(value) AS value
|
||||
FROM search_union
|
||||
GROUP BY category
|
||||
ORDER BY value desc
|
||||
`;
|
||||
|
||||
const CATEGORIES_LIMIT = 6;
|
||||
|
||||
const VALID_OPERATIONS = {
|
||||
count: [],
|
||||
sum: ['aggregationColumn'],
|
||||
avg: ['aggregationColumn'],
|
||||
@@ -97,7 +180,7 @@ var VALID_OPERATIONS = {
|
||||
max: ['aggregationColumn']
|
||||
};
|
||||
|
||||
var TYPE = 'aggregation';
|
||||
const TYPE = 'aggregation';
|
||||
|
||||
/**
|
||||
{
|
||||
@@ -108,256 +191,150 @@ var TYPE = 'aggregation';
|
||||
}
|
||||
}
|
||||
*/
|
||||
function Aggregation(query, options, queries) {
|
||||
if (!_.isString(options.column)) {
|
||||
throw new Error('Aggregation expects `column` in widget options');
|
||||
module.exports = class Aggregation extends BaseDataview {
|
||||
constructor (query, options = {}, queries = {}) {
|
||||
super();
|
||||
|
||||
this._checkOptions(options);
|
||||
|
||||
this.query = query;
|
||||
this.queries = queries;
|
||||
this.column = options.column;
|
||||
this.aggregation = options.aggregation;
|
||||
this.aggregationColumn = options.aggregationColumn;
|
||||
this._isFloatColumn = null;
|
||||
}
|
||||
|
||||
if (!_.isString(options.aggregation)) {
|
||||
throw new Error('Aggregation expects `aggregation` operation in widget options');
|
||||
}
|
||||
|
||||
if (!VALID_OPERATIONS[options.aggregation]) {
|
||||
throw new Error("Aggregation does not support '" + options.aggregation + "' operation");
|
||||
}
|
||||
|
||||
var requiredOptions = VALID_OPERATIONS[options.aggregation];
|
||||
var missingOptions = _.difference(requiredOptions, Object.keys(options));
|
||||
if (missingOptions.length > 0) {
|
||||
throw new Error(
|
||||
"Aggregation '" + options.aggregation + "' is missing some options: " + missingOptions.join(',')
|
||||
);
|
||||
}
|
||||
|
||||
BaseWidget.apply(this);
|
||||
|
||||
this.query = query;
|
||||
this.queries = queries;
|
||||
this.column = options.column;
|
||||
this.aggregation = options.aggregation;
|
||||
this.aggregationColumn = options.aggregationColumn;
|
||||
this._isFloatColumn = null;
|
||||
}
|
||||
|
||||
Aggregation.prototype = new BaseWidget();
|
||||
Aggregation.prototype.constructor = Aggregation;
|
||||
|
||||
module.exports = Aggregation;
|
||||
|
||||
Aggregation.prototype.sql = function(psql, override, callback) {
|
||||
var self = this;
|
||||
|
||||
if (!callback) {
|
||||
callback = override;
|
||||
override = {};
|
||||
}
|
||||
|
||||
if (this.aggregationColumn && this._isFloatColumn === null) {
|
||||
this._isFloatColumn = false;
|
||||
this.getColumnType(psql, this.aggregationColumn, this.queries.no_filters, function (err, type) {
|
||||
if (!err && !!type) {
|
||||
self._isFloatColumn = type.float;
|
||||
}
|
||||
self.sql(psql, override, callback);
|
||||
});
|
||||
return null;
|
||||
}
|
||||
|
||||
var _query = this.query;
|
||||
|
||||
var aggregationSql;
|
||||
|
||||
if (!!override.ownFilter) {
|
||||
aggregationSql = [
|
||||
this.getCategoriesCTESql(
|
||||
_query,
|
||||
this.column,
|
||||
this.aggregation,
|
||||
this.aggregationColumn,
|
||||
this._isFloatColumn
|
||||
),
|
||||
aggregationQueryTpl({
|
||||
_isFloatColumn: this._isFloatColumn,
|
||||
_query: _query,
|
||||
_column: this.column,
|
||||
_aggregation: this.getAggregationSql(),
|
||||
_limit: CATEGORIES_LIMIT
|
||||
})
|
||||
].join('\n');
|
||||
} else {
|
||||
aggregationSql = [
|
||||
this.getCategoriesCTESql(
|
||||
_query,
|
||||
this.column,
|
||||
this.aggregation,
|
||||
this.aggregationColumn,
|
||||
this._isFloatColumn
|
||||
),
|
||||
rankedAggregationQueryTpl({
|
||||
_isFloatColumn: this._isFloatColumn,
|
||||
_query: _query,
|
||||
_column: this.column,
|
||||
_aggregationFn: this.aggregation !== 'count' ? this.aggregation : 'sum',
|
||||
_limit: CATEGORIES_LIMIT
|
||||
})
|
||||
].join('\n');
|
||||
}
|
||||
|
||||
debug(aggregationSql);
|
||||
|
||||
return callback(null, aggregationSql);
|
||||
};
|
||||
|
||||
Aggregation.prototype.getCategoriesCTESql = function(query, column, aggregation, aggregationColumn, isFloatColumn) {
|
||||
return [
|
||||
"WITH",
|
||||
[
|
||||
filteredQueryTpl({
|
||||
_isFloatColumn: isFloatColumn,
|
||||
_query: this.query,
|
||||
_column: this.column,
|
||||
_aggregationColumn: aggregation !== 'count' ? aggregationColumn : null
|
||||
}),
|
||||
summaryQueryTpl({
|
||||
_isFloatColumn: isFloatColumn,
|
||||
_query: query,
|
||||
_column: column,
|
||||
_aggregationColumn: aggregation !== 'count' ? aggregationColumn : null
|
||||
}),
|
||||
rankedCategoriesQueryTpl({
|
||||
_query: query,
|
||||
_column: column,
|
||||
_aggregation: this.getAggregationSql(),
|
||||
_aggregationColumn: aggregation !== 'count' ? aggregationColumn : null
|
||||
}),
|
||||
categoriesSummaryMinMaxQueryTpl({
|
||||
_query: query,
|
||||
_column: column
|
||||
}),
|
||||
categoriesSummaryCountQueryTpl({
|
||||
_query: query,
|
||||
_column: column
|
||||
})
|
||||
].join(',\n')
|
||||
].join('\n');
|
||||
};
|
||||
|
||||
var aggregationFnQueryTpl = dot.template('{{=it._aggregationFn}}({{=it._aggregationColumn}})');
|
||||
Aggregation.prototype.getAggregationSql = function() {
|
||||
return aggregationFnQueryTpl({
|
||||
_aggregationFn: this.aggregation,
|
||||
_aggregationColumn: this.aggregationColumn || 1
|
||||
});
|
||||
};
|
||||
|
||||
Aggregation.prototype.format = function(result) {
|
||||
var categories = [];
|
||||
var count = 0;
|
||||
var nulls = 0;
|
||||
var nans = 0;
|
||||
var infinities = 0;
|
||||
var minValue = 0;
|
||||
var maxValue = 0;
|
||||
var categoriesCount = 0;
|
||||
|
||||
|
||||
if (result.rows.length) {
|
||||
var firstRow = result.rows[0];
|
||||
count = firstRow.count;
|
||||
nulls = firstRow.nulls_count;
|
||||
nans = firstRow.nans_count;
|
||||
infinities = firstRow.infinities_count;
|
||||
minValue = firstRow.min_val;
|
||||
maxValue = firstRow.max_val;
|
||||
categoriesCount = firstRow.categories_count;
|
||||
|
||||
result.rows.forEach(function(row) {
|
||||
categories.push(_.omit(row, 'count', 'nulls_count', 'min_val',
|
||||
'max_val', 'categories_count', 'nans_count', 'infinities_count'));
|
||||
});
|
||||
}
|
||||
|
||||
return {
|
||||
aggregation: this.aggregation,
|
||||
count: count,
|
||||
nulls: nulls,
|
||||
nans: nans,
|
||||
infinities: infinities,
|
||||
min: minValue,
|
||||
max: maxValue,
|
||||
categoriesCount: categoriesCount,
|
||||
categories: categories
|
||||
};
|
||||
};
|
||||
|
||||
var filterCategoriesQueryTpl = dot.template([
|
||||
'SELECT {{=it._column}} AS category, {{=it._value}} AS value',
|
||||
'FROM ({{=it._query}}) _cdb_aggregation_search',
|
||||
'WHERE CAST({{=it._column}} as text) ILIKE {{=it._userQuery}}',
|
||||
'GROUP BY {{=it._column}}'
|
||||
].join('\n'));
|
||||
|
||||
var searchQueryTpl = dot.template([
|
||||
'WITH',
|
||||
'search_unfiltered AS (',
|
||||
' {{=it._searchUnfiltered}}',
|
||||
'),',
|
||||
'search_filtered AS (',
|
||||
' {{=it._searchFiltered}}',
|
||||
'),',
|
||||
'search_union AS (',
|
||||
' SELECT * FROM search_unfiltered',
|
||||
' UNION ALL',
|
||||
' SELECT * FROM search_filtered',
|
||||
')',
|
||||
'SELECT category, sum(value) AS value',
|
||||
'FROM search_union',
|
||||
'GROUP BY category',
|
||||
'ORDER BY value desc'
|
||||
].join('\n'));
|
||||
|
||||
|
||||
Aggregation.prototype.search = function(psql, userQuery, callback) {
|
||||
var self = this;
|
||||
|
||||
var _userQuery = psql.escapeLiteral('%' + userQuery + '%');
|
||||
var _value = this.aggregation !== 'count' && this.aggregationColumn ?
|
||||
this.aggregation + '(' + this.aggregationColumn + ')' : 'count(1)';
|
||||
|
||||
// TODO unfiltered will be wrong as filters are already applied at this point
|
||||
var query = searchQueryTpl({
|
||||
_searchUnfiltered: filterCategoriesQueryTpl({
|
||||
_query: this.query,
|
||||
_column: this.column,
|
||||
_value: '0',
|
||||
_userQuery: _userQuery
|
||||
}),
|
||||
_searchFiltered: filterCategoriesQueryTpl({
|
||||
_query: this.query,
|
||||
_column: this.column,
|
||||
_value: _value,
|
||||
_userQuery: _userQuery
|
||||
})
|
||||
});
|
||||
|
||||
psql.query(query, function(err, result) {
|
||||
if (err) {
|
||||
return callback(err, result);
|
||||
_checkOptions (options) {
|
||||
if (typeof options.column !== 'string') {
|
||||
throw new Error(`Aggregation expects 'column' in dataview options`);
|
||||
}
|
||||
|
||||
return callback(null, {type: self.getType(), categories: result.rows });
|
||||
}, true); // use read-only transaction
|
||||
};
|
||||
if (typeof options.aggregation !== 'string') {
|
||||
throw new Error(`Aggregation expects 'aggregation' operation in dataview options`);
|
||||
}
|
||||
|
||||
Aggregation.prototype.getType = function() {
|
||||
return TYPE;
|
||||
};
|
||||
if (!VALID_OPERATIONS[options.aggregation]) {
|
||||
throw new Error(`Aggregation does not support '${options.aggregation}' operation`);
|
||||
}
|
||||
|
||||
Aggregation.prototype.toString = function() {
|
||||
return JSON.stringify({
|
||||
_type: TYPE,
|
||||
_query: this.query,
|
||||
_column: this.column,
|
||||
_aggregation: this.aggregation
|
||||
});
|
||||
const requiredOptions = VALID_OPERATIONS[options.aggregation];
|
||||
const missingOptions = requiredOptions.filter(requiredOption => !options.hasOwnProperty(requiredOption));
|
||||
|
||||
if (missingOptions.length > 0) {
|
||||
throw new Error(
|
||||
`Aggregation '${options.aggregation}' is missing some options: ${missingOptions.join(',')}`
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
sql (psql, override, callback) {
|
||||
if (!callback) {
|
||||
callback = override;
|
||||
override = {};
|
||||
}
|
||||
|
||||
if (this._shouldCheckColumnType()) {
|
||||
this._isFloatColumn = false;
|
||||
this.getColumnType(psql, this.aggregationColumn, this.queries.no_filters, (err, type) => {
|
||||
if (!err && !!type) {
|
||||
this._isFloatColumn = type.float;
|
||||
}
|
||||
this.sql(psql, override, callback);
|
||||
});
|
||||
return null;
|
||||
}
|
||||
|
||||
const aggregationSql = aggregationDataviewQueryTpl({
|
||||
override: override,
|
||||
query: this.query,
|
||||
column: this.column,
|
||||
aggregation: this.aggregation,
|
||||
aggregationColumn: this.aggregation !== 'count' ? this.aggregationColumn : null,
|
||||
aggregationFn: aggregationFnQueryTpl({
|
||||
aggregation: this.aggregation,
|
||||
aggregationColumn: this.aggregationColumn || 1
|
||||
}),
|
||||
isFloatColumn: this._isFloatColumn,
|
||||
limit: CATEGORIES_LIMIT
|
||||
});
|
||||
|
||||
debug(aggregationSql);
|
||||
|
||||
return callback(null, aggregationSql);
|
||||
}
|
||||
|
||||
_shouldCheckColumnType () {
|
||||
return this.aggregationColumn && this._isFloatColumn === null;
|
||||
}
|
||||
|
||||
format (result) {
|
||||
const {
|
||||
count = 0,
|
||||
nulls_count = 0,
|
||||
nans_count = 0,
|
||||
infinities_count = 0,
|
||||
min_val = 0,
|
||||
max_val = 0,
|
||||
categories_count = 0
|
||||
} = result.rows[0] || {};
|
||||
|
||||
return {
|
||||
aggregation: this.aggregation,
|
||||
count: count,
|
||||
nulls: nulls_count,
|
||||
nans: nans_count,
|
||||
infinities: infinities_count,
|
||||
min: min_val,
|
||||
max: max_val,
|
||||
categoriesCount: categories_count,
|
||||
categories: result.rows.map(({ category, value, agg }) => ({ category, value, agg }))
|
||||
};
|
||||
}
|
||||
|
||||
search (psql, userQuery, callback) {
|
||||
const escapedUserQuery = psql.escapeLiteral(`%${userQuery}%`);
|
||||
const value = this.aggregation !== 'count' && this.aggregationColumn ?
|
||||
`${this.aggregation}(${this.aggregationColumn})` :
|
||||
'count(1)';
|
||||
|
||||
// TODO unfiltered will be wrong as filters are already applied at this point
|
||||
const query = searchQueryTpl({
|
||||
searchUnfiltered: filterCategoriesQueryTpl({
|
||||
query: this.query,
|
||||
column: this.column,
|
||||
value: '0',
|
||||
userQuery: escapedUserQuery
|
||||
}),
|
||||
searchFiltered: filterCategoriesQueryTpl({
|
||||
query: this.query,
|
||||
column: this.column,
|
||||
value: value,
|
||||
userQuery: escapedUserQuery
|
||||
})
|
||||
});
|
||||
|
||||
debug(query);
|
||||
|
||||
psql.query(query, (err, result) => {
|
||||
if (err) {
|
||||
return callback(err, result);
|
||||
}
|
||||
|
||||
return callback(null, {type: this.getType(), categories: result.rows });
|
||||
}, true); // use read-only transaction
|
||||
}
|
||||
|
||||
getType () {
|
||||
return TYPE;
|
||||
}
|
||||
|
||||
toString () {
|
||||
return JSON.stringify({
|
||||
_type: TYPE,
|
||||
_query: this.query,
|
||||
_column: this.column,
|
||||
_aggregation: this.aggregation
|
||||
});
|
||||
}
|
||||
};
|
||||
|
||||
@@ -1,67 +1,16 @@
|
||||
var dot = require('dot');
|
||||
dot.templateSettings.strip = false;
|
||||
|
||||
function BaseDataview() {}
|
||||
|
||||
module.exports = BaseDataview;
|
||||
|
||||
BaseDataview.prototype.getResult = function(psql, override, callback) {
|
||||
var self = this;
|
||||
this.sql(psql, override, function(err, query) {
|
||||
if (err) {
|
||||
return callback(err);
|
||||
}
|
||||
|
||||
psql.query(query, function(err, result) {
|
||||
if (err) {
|
||||
return callback(err, result);
|
||||
}
|
||||
|
||||
result = self.format(result, override);
|
||||
result.type = self.getType();
|
||||
|
||||
return callback(null, result);
|
||||
|
||||
}, true); // use read-only transaction
|
||||
});
|
||||
|
||||
};
|
||||
|
||||
BaseDataview.prototype.search = function(psql, userQuery, callback) {
|
||||
return callback(null, this.format({ rows: [] }));
|
||||
};
|
||||
|
||||
var FLOAT_OIDS = {
|
||||
const FLOAT_OIDS = {
|
||||
700: true,
|
||||
701: true,
|
||||
1700: true
|
||||
};
|
||||
|
||||
var DATE_OIDS = {
|
||||
const DATE_OIDS = {
|
||||
1082: true,
|
||||
1114: true,
|
||||
1184: true
|
||||
};
|
||||
|
||||
var columnTypeQueryTpl = dot.template(
|
||||
'SELECT pg_typeof({{=it.column}})::oid FROM ({{=it.query}}) _cdb_column_type limit 1'
|
||||
);
|
||||
|
||||
BaseDataview.prototype.getColumnType = function (psql, column, query, callback) {
|
||||
var readOnlyTransaction = true;
|
||||
|
||||
var columnTypeQuery = columnTypeQueryTpl({
|
||||
column: column, query: query
|
||||
});
|
||||
|
||||
psql.query(columnTypeQuery, function(err, result) {
|
||||
if (err) {
|
||||
return callback(err);
|
||||
}
|
||||
var pgType = result.rows[0].pg_typeof;
|
||||
callback(null, getPGTypeName(pgType));
|
||||
}, readOnlyTransaction);
|
||||
};
|
||||
const columnTypeQueryTpl = ctx => `SELECT pg_typeof(${ctx.column})::oid FROM (${ctx.query}) _cdb_column_type limit 1`;
|
||||
|
||||
function getPGTypeName (pgType) {
|
||||
return {
|
||||
@@ -69,3 +18,42 @@ function getPGTypeName (pgType) {
|
||||
date: DATE_OIDS.hasOwnProperty(pgType)
|
||||
};
|
||||
}
|
||||
|
||||
module.exports = class BaseDataview {
|
||||
getResult (psql, override, callback) {
|
||||
this.sql(psql, override, (err, query) => {
|
||||
if (err) {
|
||||
return callback(err);
|
||||
}
|
||||
|
||||
psql.query(query, (err, result) => {
|
||||
if (err) {
|
||||
return callback(err, result);
|
||||
}
|
||||
|
||||
result = this.format(result, override);
|
||||
result.type = this.getType();
|
||||
|
||||
return callback(null, result);
|
||||
|
||||
}, true); // use read-only transaction
|
||||
});
|
||||
}
|
||||
|
||||
search (psql, userQuery, callback) {
|
||||
return callback(null, this.format({ rows: [] }));
|
||||
}
|
||||
|
||||
getColumnType (psql, column, query, callback) {
|
||||
const readOnlyTransaction = true;
|
||||
const columnTypeQuery = columnTypeQueryTpl({ column, query });
|
||||
|
||||
psql.query(columnTypeQuery, (err, result) => {
|
||||
if (err) {
|
||||
return callback(err);
|
||||
}
|
||||
const pgType = result.rows[0].pg_typeof;
|
||||
callback(null, getPGTypeName(pgType));
|
||||
}, readOnlyTransaction);
|
||||
}
|
||||
};
|
||||
|
||||
@@ -1,18 +1,20 @@
|
||||
var dataviews = require('./');
|
||||
const dataviews = require('./');
|
||||
|
||||
var DataviewFactory = {
|
||||
dataviews: Object.keys(dataviews).reduce(function(allDataviews, dataviewClassName) {
|
||||
allDataviews[dataviewClassName.toLowerCase()] = dataviews[dataviewClassName];
|
||||
return allDataviews;
|
||||
}, {}),
|
||||
module.exports = class DataviewFactory {
|
||||
static get dataviews() {
|
||||
return Object.keys(dataviews).reduce((allDataviews, dataviewClassName) => {
|
||||
allDataviews[dataviewClassName.toLowerCase()] = dataviews[dataviewClassName];
|
||||
return allDataviews;
|
||||
}, {});
|
||||
}
|
||||
|
||||
static getDataview (query, dataviewDefinition) {
|
||||
const { type, options, sql } = dataviewDefinition;
|
||||
|
||||
getDataview: function(query, dataviewDefinition) {
|
||||
var type = dataviewDefinition.type;
|
||||
if (!this.dataviews[type]) {
|
||||
throw new Error('Invalid dataview type: "' + type + '"');
|
||||
}
|
||||
return new this.dataviews[type](query, dataviewDefinition.options, dataviewDefinition.sql);
|
||||
|
||||
return new this.dataviews[type](query, options, sql);
|
||||
}
|
||||
};
|
||||
|
||||
module.exports = DataviewFactory;
|
||||
|
||||
@@ -1,28 +1,36 @@
|
||||
var _ = require('underscore');
|
||||
var BaseWidget = require('./base');
|
||||
var debug = require('debug')('windshaft:widget:formula');
|
||||
const BaseDataview = require('./base');
|
||||
const debug = require('debug')('windshaft:dataview:formula');
|
||||
|
||||
var dot = require('dot');
|
||||
dot.templateSettings.strip = false;
|
||||
const countInfinitiesQueryTpl = ctx => `
|
||||
SELECT count(1) FROM (${ctx.query}) __cdb_formula_infinities
|
||||
WHERE ${ctx.column} = 'infinity'::float OR ${ctx.column} = '-infinity'::float
|
||||
`;
|
||||
|
||||
var formulaQueryTpl = dot.template([
|
||||
'SELECT',
|
||||
' {{=it._operation}}({{=it._column}}) AS result,',
|
||||
' (SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nulls WHERE {{=it._column}} IS NULL) AS nulls_count',
|
||||
' {{?it._isFloatColumn}},(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nulls',
|
||||
' WHERE {{=it._column}} = \'infinity\'::float OR {{=it._column}} = \'-infinity\'::float) AS infinities_count',
|
||||
' ,(SELECT count(1) FROM ({{=it._query}}) _cdb_formula_nulls',
|
||||
' WHERE {{=it._column}} = \'NaN\'::float) AS nans_count{{?}}',
|
||||
'FROM ({{=it._query}}) _cdb_formula',
|
||||
'{{?it._isFloatColumn && it._operation !== \'count\'}}WHERE',
|
||||
' {{=it._column}} != \'infinity\'::float',
|
||||
'AND',
|
||||
' {{=it._column}} != \'-infinity\'::float',
|
||||
'AND',
|
||||
' {{=it._column}} != \'NaN\'::float{{?}}'
|
||||
].join('\n'));
|
||||
const countNansQueryTpl = ctx => `
|
||||
SELECT count(1) FROM (${ctx.query}) __cdb_formula_nans
|
||||
WHERE ${ctx.column} = 'NaN'::float
|
||||
`;
|
||||
|
||||
var VALID_OPERATIONS = {
|
||||
const filterOutSpecialNumericValuesTpl = ctx => `
|
||||
WHERE
|
||||
${ctx.column} != 'infinity'::float
|
||||
AND
|
||||
${ctx.column} != '-infinity'::float
|
||||
AND
|
||||
${ctx.column} != 'NaN'::float
|
||||
`;
|
||||
|
||||
const formulaQueryTpl = ctx => `
|
||||
SELECT
|
||||
${ctx.operation}(${ctx.column}) AS result,
|
||||
(SELECT count(1) FROM (${ctx.query}) _cdb_formula_nulls WHERE ${ctx.column} IS NULL) AS nulls_count
|
||||
${ctx.isFloatColumn ? `,(${countInfinitiesQueryTpl(ctx)}) AS infinities_count` : ''}
|
||||
${ctx.isFloatColumn ? `,(${countNansQueryTpl(ctx)}) AS nans_count` : ''}
|
||||
FROM (${ctx.query}) __cdb_formula
|
||||
${ctx.isFloatColumn && ctx.operation !== 'count' ? `${filterOutSpecialNumericValuesTpl(ctx)}` : ''}
|
||||
`;
|
||||
|
||||
const VALID_OPERATIONS = {
|
||||
count: true,
|
||||
avg: true,
|
||||
sum: true,
|
||||
@@ -30,7 +38,7 @@ var VALID_OPERATIONS = {
|
||||
max: true
|
||||
};
|
||||
|
||||
var TYPE = 'formula';
|
||||
const TYPE = 'formula';
|
||||
|
||||
/**
|
||||
{
|
||||
@@ -41,93 +49,90 @@ var TYPE = 'formula';
|
||||
}
|
||||
}
|
||||
*/
|
||||
function Formula(query, options, queries) {
|
||||
if (!_.isString(options.operation)) {
|
||||
throw new Error('Formula expects `operation` in widget options');
|
||||
module.exports = class Formula extends BaseDataview {
|
||||
constructor (query, options = {}, queries = {}) {
|
||||
super();
|
||||
|
||||
this._checkOptions(options);
|
||||
|
||||
this.query = query;
|
||||
this.queries = queries;
|
||||
this.column = options.column || '1';
|
||||
this.operation = options.operation;
|
||||
this._isFloatColumn = null;
|
||||
}
|
||||
|
||||
if (!VALID_OPERATIONS[options.operation]) {
|
||||
throw new Error("Formula does not support '" + options.operation + "' operation");
|
||||
_checkOptions (options) {
|
||||
if (typeof options.operation !== 'string') {
|
||||
throw new Error(`Formula expects 'operation' in dataview options`);
|
||||
}
|
||||
|
||||
if (!VALID_OPERATIONS[options.operation]) {
|
||||
throw new Error(`Formula does not support '${options.operation}' operation`);
|
||||
}
|
||||
|
||||
if (options.operation !== 'count' && typeof options.column !== 'string') {
|
||||
throw new Error(`Formula expects 'column' in dataview options`);
|
||||
}
|
||||
}
|
||||
|
||||
if (options.operation !== 'count' && !_.isString(options.column)) {
|
||||
throw new Error('Formula expects `column` in widget options');
|
||||
}
|
||||
|
||||
BaseWidget.apply(this);
|
||||
sql (psql, override, callback) {
|
||||
if (!callback) {
|
||||
callback = override;
|
||||
override = {};
|
||||
}
|
||||
|
||||
this.query = query;
|
||||
this.queries = queries;
|
||||
this.column = options.column || '1';
|
||||
this.operation = options.operation;
|
||||
this._isFloatColumn = null;
|
||||
}
|
||||
if (this._isFloatColumn === null) {
|
||||
this._isFloatColumn = false;
|
||||
this.getColumnType(psql, this.column, this.queries.no_filters, (err, type) => {
|
||||
if (!err && !!type) {
|
||||
this._isFloatColumn = type.float;
|
||||
}
|
||||
this.sql(psql, override, callback);
|
||||
});
|
||||
return null;
|
||||
}
|
||||
|
||||
Formula.prototype = new BaseWidget();
|
||||
Formula.prototype.constructor = Formula;
|
||||
|
||||
module.exports = Formula;
|
||||
|
||||
Formula.prototype.sql = function(psql, override, callback) {
|
||||
var self = this;
|
||||
|
||||
if (!callback) {
|
||||
callback = override;
|
||||
override = {};
|
||||
}
|
||||
|
||||
if (this._isFloatColumn === null) {
|
||||
this._isFloatColumn = false;
|
||||
this.getColumnType(psql, this.column, this.queries.no_filters, function (err, type) {
|
||||
if (!err && !!type) {
|
||||
self._isFloatColumn = type.float;
|
||||
}
|
||||
self.sql(psql, override, callback);
|
||||
const formulaSql = formulaQueryTpl({
|
||||
isFloatColumn: this._isFloatColumn,
|
||||
query: this.query,
|
||||
operation: this.operation,
|
||||
column: this.column
|
||||
});
|
||||
return null;
|
||||
|
||||
debug(formulaSql);
|
||||
|
||||
return callback(null, formulaSql);
|
||||
}
|
||||
|
||||
var formulaSql = formulaQueryTpl({
|
||||
_isFloatColumn: this._isFloatColumn,
|
||||
_query: this.query,
|
||||
_operation: this.operation,
|
||||
_column: this.column
|
||||
});
|
||||
format (res) {
|
||||
const {
|
||||
result = 0,
|
||||
nulls_count = 0,
|
||||
nans_count,
|
||||
infinities_count
|
||||
} = res.rows[0] || {};
|
||||
|
||||
debug(formulaSql);
|
||||
|
||||
return callback(null, formulaSql);
|
||||
};
|
||||
|
||||
Formula.prototype.format = function(result) {
|
||||
var formattedResult = {
|
||||
operation: this.operation,
|
||||
result: 0,
|
||||
nulls: 0,
|
||||
nans: 0,
|
||||
infinities: 0
|
||||
};
|
||||
|
||||
if (result.rows.length) {
|
||||
formattedResult.operation = this.operation;
|
||||
formattedResult.result = result.rows[0].result;
|
||||
formattedResult.nulls = result.rows[0].nulls_count;
|
||||
formattedResult.nans = result.rows[0].nans_count;
|
||||
formattedResult.infinities = result.rows[0].infinities_count;
|
||||
return {
|
||||
operation: this.operation,
|
||||
result,
|
||||
nulls: nulls_count,
|
||||
nans: nans_count,
|
||||
infinities: infinities_count
|
||||
};
|
||||
}
|
||||
|
||||
return formattedResult;
|
||||
};
|
||||
getType () {
|
||||
return TYPE;
|
||||
}
|
||||
|
||||
Formula.prototype.getType = function() {
|
||||
return TYPE;
|
||||
};
|
||||
|
||||
Formula.prototype.toString = function() {
|
||||
return JSON.stringify({
|
||||
_type: TYPE,
|
||||
_query: this.query,
|
||||
_column: this.column,
|
||||
_operation: this.operation
|
||||
});
|
||||
toString () {
|
||||
return JSON.stringify({
|
||||
_type: TYPE,
|
||||
_query: this.query,
|
||||
_column: this.column,
|
||||
_operation: this.operation
|
||||
});
|
||||
}
|
||||
};
|
||||
|
||||
@@ -1,717 +1,72 @@
|
||||
var _ = require('underscore');
|
||||
var BaseWidget = require('./base');
|
||||
var debug = require('debug')('windshaft:dataview:histogram');
|
||||
const debug = require('debug')('windshaft:dataview:histogram');
|
||||
const NumericHistogram = require('./histograms/numeric-histogram');
|
||||
const DateHistogram = require('./histograms/date-histogram');
|
||||
|
||||
var dot = require('dot');
|
||||
dot.templateSettings.strip = false;
|
||||
const DATE_HISTOGRAM = 'DateHistogram';
|
||||
const NUMERIC_HISTOGRAM = 'NumericHistogram';
|
||||
|
||||
var columnCastTpl = dot.template("date_part('epoch', {{=it.column}})");
|
||||
module.exports = class Histogram {
|
||||
constructor (query, options, queries) {
|
||||
this.query = query;
|
||||
this.options = options || {};
|
||||
this.queries = queries;
|
||||
|
||||
var dateIntervalQueryTpl = dot.template([
|
||||
'WITH',
|
||||
'__cdb_dates AS (',
|
||||
' SELECT',
|
||||
' MAX({{=it.column}}::timestamp) AS __cdb_end,',
|
||||
' MIN({{=it.column}}::timestamp) AS __cdb_start',
|
||||
' FROM ({{=it.query}}) __cdb_source',
|
||||
'),',
|
||||
'__cdb_interval_in_days AS (',
|
||||
' SELECT' ,
|
||||
' DATE_PART(\'day\', __cdb_end - __cdb_start) AS __cdb_days',
|
||||
' FROM __cdb_dates',
|
||||
'),',
|
||||
'__cdb_interval_in_hours AS (',
|
||||
' SELECT',
|
||||
' __cdb_days * 24 + DATE_PART(\'hour\', __cdb_end - __cdb_start) AS __cdb_hours',
|
||||
' FROM __cdb_interval_in_days, __cdb_dates',
|
||||
'),',
|
||||
'__cdb_interval_in_minutes AS (',
|
||||
' SELECT',
|
||||
' __cdb_hours * 60 + DATE_PART(\'minute\', __cdb_end - __cdb_start) AS __cdb_minutes',
|
||||
' FROM __cdb_interval_in_hours, __cdb_dates',
|
||||
'),',
|
||||
'__cdb_interval_in_seconds AS (',
|
||||
' SELECT',
|
||||
' __cdb_minutes * 60 + DATE_PART(\'second\', __cdb_end - __cdb_start) AS __cdb_seconds',
|
||||
' FROM __cdb_interval_in_minutes, __cdb_dates',
|
||||
')',
|
||||
'SELECT',
|
||||
' ROUND(__cdb_days / 365) AS year,',
|
||||
' ROUND(__cdb_days / 90) AS quarter,',
|
||||
' ROUND(__cdb_days / 30) AS month,',
|
||||
' ROUND(__cdb_days / 7) AS week,',
|
||||
' __cdb_days AS day,',
|
||||
' __cdb_hours AS hour,',
|
||||
' __cdb_minutes AS minute,',
|
||||
' __cdb_seconds AS second',
|
||||
'FROM __cdb_interval_in_days, __cdb_interval_in_hours, __cdb_interval_in_minutes, __cdb_interval_in_seconds'
|
||||
].join('\n'));
|
||||
|
||||
var MAX_INTERVAL_VALUE = 366;
|
||||
var BIN_MIN_NUMBER = 6;
|
||||
var BIN_MAX_NUMBER = 48;
|
||||
|
||||
var filteredQueryTpl = dot.template([
|
||||
'__cdb_filtered_source AS (',
|
||||
' SELECT *',
|
||||
' FROM ({{=it._query}}) __cdb_filtered_source_query',
|
||||
' WHERE',
|
||||
' {{=it._column}} IS NOT NULL',
|
||||
' {{?it._isFloatColumn}}AND',
|
||||
' {{=it._column}} != \'infinity\'::float',
|
||||
' AND',
|
||||
' {{=it._column}} != \'-infinity\'::float',
|
||||
' AND',
|
||||
' {{=it._column}} != \'NaN\'::float{{?}}',
|
||||
')'
|
||||
].join(' \n'));
|
||||
|
||||
var basicsQueryTpl = dot.template([
|
||||
'__cdb_basics AS (',
|
||||
' SELECT',
|
||||
' max({{=it._column}}) AS __cdb_max_val, min({{=it._column}}) AS __cdb_min_val,',
|
||||
' avg({{=it._column}}) AS __cdb_avg_val, count(1) AS __cdb_total_rows',
|
||||
' FROM __cdb_filtered_source',
|
||||
')'
|
||||
].join(' \n'));
|
||||
|
||||
var overrideBasicsQueryTpl = dot.template([
|
||||
'__cdb_basics AS (',
|
||||
' SELECT',
|
||||
' max({{=it._end}}) AS __cdb_max_val, min({{=it._start}}) AS __cdb_min_val,',
|
||||
' avg({{=it._column}}) AS __cdb_avg_val, count(1) AS __cdb_total_rows',
|
||||
' FROM __cdb_filtered_source',
|
||||
')'
|
||||
].join('\n'));
|
||||
|
||||
var iqrQueryTpl = dot.template([
|
||||
'__cdb_iqrange AS (',
|
||||
' SELECT max(quartile_max) - min(quartile_max) AS __cdb_iqr',
|
||||
' FROM (',
|
||||
' SELECT quartile, max(_cdb_iqr_column) AS quartile_max from (',
|
||||
' SELECT {{=it._column}} AS _cdb_iqr_column, ntile(4) over (order by {{=it._column}}',
|
||||
' ) AS quartile',
|
||||
' FROM __cdb_filtered_source) _cdb_quartiles',
|
||||
' WHERE quartile = 1 or quartile = 3',
|
||||
' GROUP BY quartile',
|
||||
' ) __cdb_iqr',
|
||||
')'
|
||||
].join('\n'));
|
||||
|
||||
var binsQueryTpl = dot.template([
|
||||
'__cdb_bins AS (',
|
||||
' SELECT CASE WHEN __cdb_total_rows = 0 OR __cdb_iqr = 0',
|
||||
' THEN 1',
|
||||
' ELSE GREATEST(',
|
||||
' LEAST({{=it._minBins}}, CAST(__cdb_total_rows AS INT)),',
|
||||
' LEAST(',
|
||||
' CAST(((__cdb_max_val - __cdb_min_val) / (2 * __cdb_iqr * power(__cdb_total_rows, 1/3))) AS INT),',
|
||||
' {{=it._maxBins}}',
|
||||
' )',
|
||||
' )',
|
||||
' END AS __cdb_bins_number',
|
||||
' FROM __cdb_basics, __cdb_iqrange, __cdb_filtered_source',
|
||||
' LIMIT 1',
|
||||
')'
|
||||
].join('\n'));
|
||||
|
||||
var overrideBinsQueryTpl = dot.template([
|
||||
'__cdb_bins AS (',
|
||||
' SELECT {{=it._bins}} AS __cdb_bins_number',
|
||||
')'
|
||||
].join('\n'));
|
||||
|
||||
var nullsQueryTpl = dot.template([
|
||||
'__cdb_nulls AS (',
|
||||
' SELECT',
|
||||
' count(*) AS __cdb_nulls_count',
|
||||
' FROM ({{=it._query}}) __cdb_histogram_nulls',
|
||||
' WHERE {{=it._column}} IS NULL',
|
||||
')'
|
||||
].join('\n'));
|
||||
|
||||
var infinitiesQueryTpl = dot.template([
|
||||
'__cdb_infinities AS (',
|
||||
' SELECT',
|
||||
' count(*) AS __cdb_infinities_count',
|
||||
' FROM ({{=it._query}}) __cdb_infinities_query',
|
||||
' WHERE',
|
||||
' {{=it._column}} = \'infinity\'::float',
|
||||
' OR',
|
||||
' {{=it._column}} = \'-infinity\'::float',
|
||||
')'
|
||||
].join('\n'));
|
||||
|
||||
var nansQueryTpl = dot.template([
|
||||
'__cdb_nans AS (',
|
||||
' SELECT',
|
||||
' count(*) AS __cdb_nans_count',
|
||||
' FROM ({{=it._query}}) __cdb_nans_query',
|
||||
' WHERE {{=it._column}} = \'NaN\'::float',
|
||||
')'
|
||||
].join('\n'));
|
||||
|
||||
var histogramQueryTpl = dot.template([
|
||||
'SELECT',
|
||||
' (__cdb_max_val - __cdb_min_val) / cast(__cdb_bins_number as float) AS bin_width,',
|
||||
' __cdb_bins_number AS bins_number,',
|
||||
' __cdb_nulls_count AS nulls_count,',
|
||||
' {{?it._isFloatColumn}}__cdb_infinities_count AS infinities_count,',
|
||||
' __cdb_nans_count AS nans_count,{{?}}',
|
||||
' __cdb_avg_val AS avg_val,',
|
||||
' CASE WHEN __cdb_min_val = __cdb_max_val',
|
||||
' THEN 0',
|
||||
' ELSE GREATEST(',
|
||||
' 1,',
|
||||
' LEAST(',
|
||||
' WIDTH_BUCKET({{=it._column}}, __cdb_min_val, __cdb_max_val, __cdb_bins_number),',
|
||||
' __cdb_bins_number',
|
||||
' )',
|
||||
' ) - 1',
|
||||
' END AS bin,',
|
||||
' min({{=it._column}})::numeric AS min,',
|
||||
' max({{=it._column}})::numeric AS max,',
|
||||
' avg({{=it._column}})::numeric AS avg,',
|
||||
' count(*) AS freq',
|
||||
'FROM __cdb_filtered_source, __cdb_basics, __cdb_nulls,',
|
||||
' __cdb_bins{{?it._isFloatColumn}}, __cdb_infinities, __cdb_nans{{?}}',
|
||||
'GROUP BY bin, bins_number, bin_width, nulls_count,',
|
||||
' avg_val{{?it._isFloatColumn}}, infinities_count, nans_count{{?}}',
|
||||
'ORDER BY bin'
|
||||
].join('\n'));
|
||||
|
||||
var dateBasicsQueryTpl = dot.template([
|
||||
'__cdb_basics AS (',
|
||||
' SELECT',
|
||||
' max(date_part(\'epoch\', {{=it._column}})) AS __cdb_max_val,',
|
||||
' min(date_part(\'epoch\', {{=it._column}})) AS __cdb_min_val,',
|
||||
' avg(date_part(\'epoch\', {{=it._column}})) AS __cdb_avg_val,',
|
||||
' min(date_trunc(',
|
||||
' \'{{=it._aggregation}}\', {{=it._column}}::timestamp AT TIME ZONE \'{{=it._offset}}\'',
|
||||
' )) AS __cdb_start_date,',
|
||||
' max({{=it._column}}::timestamp AT TIME ZONE \'{{=it._offset}}\') AS __cdb_end_date,',
|
||||
' count(1) AS __cdb_total_rows',
|
||||
' FROM ({{=it._query}}) __cdb_basics_query',
|
||||
')'
|
||||
].join(' \n'));
|
||||
|
||||
var dateOverrideBasicsQueryTpl = dot.template([
|
||||
'__cdb_basics AS (',
|
||||
' SELECT',
|
||||
' max({{=it._end}}) AS __cdb_max_val,',
|
||||
' min({{=it._start}}) AS __cdb_min_val,',
|
||||
' avg(date_part(\'epoch\', {{=it._column}})) AS __cdb_avg_val,',
|
||||
' min(',
|
||||
' date_trunc(',
|
||||
' \'{{=it._aggregation}}\',',
|
||||
' TO_TIMESTAMP({{=it._start}})::timestamp AT TIME ZONE \'{{=it._offset}}\'',
|
||||
' )',
|
||||
' ) AS __cdb_start_date,',
|
||||
' max(',
|
||||
' TO_TIMESTAMP({{=it._end}})::timestamp AT TIME ZONE \'{{=it._offset}}\'',
|
||||
' ) AS __cdb_end_date,',
|
||||
' count(1) AS __cdb_total_rows',
|
||||
' FROM ({{=it._query}}) __cdb_basics_query',
|
||||
')'
|
||||
].join(' \n'));
|
||||
|
||||
var dateBinsQueryTpl = dot.template([
|
||||
'__cdb_bins AS (',
|
||||
' SELECT',
|
||||
' __cdb_bins_array,',
|
||||
' ARRAY_LENGTH(__cdb_bins_array, 1) AS __cdb_bins_number',
|
||||
' FROM (',
|
||||
' SELECT',
|
||||
' ARRAY(',
|
||||
' SELECT GENERATE_SERIES(',
|
||||
' __cdb_start_date::timestamptz,',
|
||||
' __cdb_end_date::timestamptz,',
|
||||
' {{?it._aggregation==="quarter"}}\'3 month\'{{??}}\'1 {{=it._aggregation}}\'{{?}}::interval',
|
||||
' )',
|
||||
' ) AS __cdb_bins_array',
|
||||
' FROM __cdb_basics',
|
||||
' ) __cdb_bins_array_query',
|
||||
')'
|
||||
].join('\n'));
|
||||
|
||||
var dateHistogramQueryTpl = dot.template([
|
||||
'SELECT',
|
||||
' (__cdb_max_val - __cdb_min_val) / cast(__cdb_bins_number as float) AS bin_width,',
|
||||
' __cdb_bins_number AS bins_number,',
|
||||
' __cdb_nulls_count AS nulls_count,',
|
||||
' CASE WHEN __cdb_min_val = __cdb_max_val',
|
||||
' THEN 0',
|
||||
' ELSE GREATEST(1, LEAST(',
|
||||
' WIDTH_BUCKET(',
|
||||
' {{=it._column}}::timestamp AT TIME ZONE \'{{=it._offset}}\',',
|
||||
' __cdb_bins_array',
|
||||
' ),',
|
||||
' __cdb_bins_number',
|
||||
' )) - 1',
|
||||
' END AS bin,',
|
||||
' min(',
|
||||
' date_part(',
|
||||
' \'epoch\', ',
|
||||
' date_trunc(',
|
||||
' \'{{=it._aggregation}}\', {{=it._column}}::timestamp AT TIME ZONE \'{{=it._offset}}\'',
|
||||
' ) AT TIME ZONE \'{{=it._offset}}\'',
|
||||
' )',
|
||||
' )::numeric AS timestamp,',
|
||||
' date_part(\'epoch\', __cdb_start_date)::numeric AS timestamp_start,',
|
||||
' min(date_part(\'epoch\', {{=it._column}}))::numeric AS min,',
|
||||
' max(date_part(\'epoch\', {{=it._column}}))::numeric AS max,',
|
||||
' avg(date_part(\'epoch\', {{=it._column}}))::numeric AS avg,',
|
||||
' count(*) AS freq',
|
||||
'FROM ({{=it._query}}) __cdb_histogram, __cdb_basics, __cdb_bins, __cdb_nulls',
|
||||
'WHERE date_part(\'epoch\', {{=it._column}}) IS NOT NULL',
|
||||
'GROUP BY bin, bins_number, bin_width, nulls_count, timestamp_start',
|
||||
'ORDER BY bin'
|
||||
].join('\n'));
|
||||
|
||||
var TYPE = 'histogram';
|
||||
|
||||
/**
|
||||
Numeric histogram:
|
||||
{
|
||||
type: 'histogram',
|
||||
options: {
|
||||
column: 'name', // column data type: numeric
|
||||
bins: 10 // OPTIONAL
|
||||
}
|
||||
}
|
||||
|
||||
Time series:
|
||||
{
|
||||
type: 'histogram',
|
||||
options: {
|
||||
column: 'date', // column data type: date
|
||||
aggregation: 'day' // OPTIONAL (if undefined then it'll be built as numeric)
|
||||
offset: -7200 // OPTIONAL (UTC offset in seconds)
|
||||
}
|
||||
}
|
||||
*/
|
||||
function Histogram(query, options, queries) {
|
||||
if (!_.isString(options.column)) {
|
||||
throw new Error('Histogram expects `column` in widget options');
|
||||
this.histogramImplementation = this._getHistogramImplementation();
|
||||
}
|
||||
|
||||
this.query = query;
|
||||
this.queries = queries;
|
||||
this.column = options.column;
|
||||
this.bins = options.bins;
|
||||
this.aggregation = options.aggregation;
|
||||
this.offset = options.offset;
|
||||
_getHistogramImplementation (override) {
|
||||
let implementation = null;
|
||||
|
||||
this._columnType = null;
|
||||
}
|
||||
|
||||
Histogram.prototype = new BaseWidget();
|
||||
Histogram.prototype.constructor = Histogram;
|
||||
|
||||
module.exports = Histogram;
|
||||
|
||||
Histogram.prototype.sql = function(psql, override, callback) {
|
||||
var self = this;
|
||||
|
||||
if (!callback) {
|
||||
callback = override;
|
||||
override = {};
|
||||
}
|
||||
|
||||
if (this._columnType === null) {
|
||||
this.getColumnType(psql, this.column, this.queries.no_filters, function (err, type) {
|
||||
// assume numeric, will fail later
|
||||
self._columnType = 'numeric';
|
||||
if (!err && !!type) {
|
||||
self._columnType = Object.keys(type).find(function (key) {
|
||||
return type[key];
|
||||
});
|
||||
}
|
||||
self.sql(psql, override, callback);
|
||||
}, true); // use read-only transaction
|
||||
return null;
|
||||
}
|
||||
|
||||
this._buildQuery(psql, override, callback);
|
||||
};
|
||||
|
||||
Histogram.prototype.isDateHistogram = function (override) {
|
||||
return this._columnType === 'date' && (this.aggregation !== undefined || override.aggregation !== undefined);
|
||||
};
|
||||
|
||||
Histogram.prototype._buildQuery = function (psql, override, callback) {
|
||||
var filteredQuery, basicsQuery, binsQuery;
|
||||
var _column = this.column;
|
||||
var _query = this.query;
|
||||
|
||||
if (this.isDateHistogram(override)) {
|
||||
return this._buildDateHistogramQuery(psql, override, callback);
|
||||
}
|
||||
|
||||
if (this._columnType === 'date') {
|
||||
_column = columnCastTpl({column: _column});
|
||||
}
|
||||
|
||||
filteredQuery = filteredQueryTpl({
|
||||
_isFloatColumn: this._columnType === 'float',
|
||||
_query: _query,
|
||||
_column: _column
|
||||
});
|
||||
|
||||
if (this._shouldOverride(override)) {
|
||||
debug('overriding with %j', override);
|
||||
basicsQuery = overrideBasicsQueryTpl({
|
||||
_query: _query,
|
||||
_column: _column,
|
||||
_start: getBinStart(override),
|
||||
_end: getBinEnd(override)
|
||||
});
|
||||
|
||||
binsQuery = [
|
||||
overrideBinsQueryTpl({
|
||||
_bins: override.bins
|
||||
})
|
||||
].join(',\n');
|
||||
} else {
|
||||
basicsQuery = basicsQueryTpl({
|
||||
_query: _query,
|
||||
_column: _column
|
||||
});
|
||||
|
||||
if (this._shouldOverrideBins(override)) {
|
||||
binsQuery = [
|
||||
overrideBinsQueryTpl({
|
||||
_bins: override.bins
|
||||
})
|
||||
].join(',\n');
|
||||
} else {
|
||||
binsQuery = [
|
||||
iqrQueryTpl({
|
||||
_query: _query,
|
||||
_column: _column
|
||||
}),
|
||||
binsQueryTpl({
|
||||
_query: _query,
|
||||
_minBins: BIN_MIN_NUMBER,
|
||||
_maxBins: BIN_MAX_NUMBER
|
||||
})
|
||||
].join(',\n');
|
||||
}
|
||||
}
|
||||
|
||||
var cteSql = [
|
||||
filteredQuery,
|
||||
basicsQuery,
|
||||
binsQuery,
|
||||
nullsQueryTpl({
|
||||
_query: _query,
|
||||
_column: _column
|
||||
})
|
||||
];
|
||||
|
||||
if (this._columnType === 'float') {
|
||||
cteSql.push(
|
||||
infinitiesQueryTpl({
|
||||
_query: _query,
|
||||
_column: _column
|
||||
}),
|
||||
nansQueryTpl({
|
||||
_query: _query,
|
||||
_column: _column
|
||||
})
|
||||
);
|
||||
}
|
||||
|
||||
var histogramSql = [
|
||||
"WITH",
|
||||
cteSql.join(',\n'),
|
||||
histogramQueryTpl({
|
||||
_isFloatColumn: this._columnType === 'float',
|
||||
_query: _query,
|
||||
_column: _column
|
||||
})
|
||||
].join('\n');
|
||||
|
||||
debug(histogramSql);
|
||||
|
||||
return callback(null, histogramSql);
|
||||
};
|
||||
|
||||
Histogram.prototype._shouldOverride = function (override) {
|
||||
return override && _.has(override, 'start') && _.has(override, 'end') && _.has(override, 'bins');
|
||||
};
|
||||
|
||||
Histogram.prototype._shouldOverrideBins = function (override) {
|
||||
return override && _.has(override, 'bins');
|
||||
};
|
||||
|
||||
var DATE_AGGREGATIONS = {
|
||||
'auto': true,
|
||||
'minute': true,
|
||||
'hour': true,
|
||||
'day': true,
|
||||
'week': true,
|
||||
'month': true,
|
||||
'quarter': true,
|
||||
'year': true
|
||||
};
|
||||
|
||||
Histogram.prototype._buildDateHistogramQuery = function (psql, override, callback) {
|
||||
var _column = this.column;
|
||||
var _query = this.query;
|
||||
var _aggregation = override && override.aggregation ? override.aggregation : this.aggregation;
|
||||
var _offset = override && Number.isFinite(override.offset) ? override.offset : this.offset;
|
||||
|
||||
if (!DATE_AGGREGATIONS.hasOwnProperty(_aggregation)) {
|
||||
return callback(new Error('Invalid aggregation value. Valid ones: ' +
|
||||
Object.keys(DATE_AGGREGATIONS).join(', ')
|
||||
));
|
||||
}
|
||||
|
||||
if (_aggregation === 'auto') {
|
||||
this.getAutomaticAggregation(psql, function (err, aggregation) {
|
||||
if (err || aggregation === 'none') {
|
||||
this.aggregation = 'day';
|
||||
} else {
|
||||
this.aggregation = aggregation;
|
||||
}
|
||||
override.aggregation = this.aggregation;
|
||||
this._buildDateHistogramQuery(psql, override, callback);
|
||||
}.bind(this));
|
||||
return null;
|
||||
}
|
||||
|
||||
var dateBasicsQuery;
|
||||
|
||||
if (override && _.has(override, 'start') && _.has(override, 'end')) {
|
||||
dateBasicsQuery = dateOverrideBasicsQueryTpl({
|
||||
_query: _query,
|
||||
_column: _column,
|
||||
_aggregation: _aggregation,
|
||||
_start: getBinStart(override),
|
||||
_end: getBinEnd(override),
|
||||
_offset: parseOffset(_offset, _aggregation)
|
||||
});
|
||||
} else {
|
||||
dateBasicsQuery = dateBasicsQueryTpl({
|
||||
_query: _query,
|
||||
_column: _column,
|
||||
_aggregation: _aggregation,
|
||||
_offset: parseOffset(_offset, _aggregation)
|
||||
});
|
||||
}
|
||||
|
||||
var dateBinsQuery = [
|
||||
dateBinsQueryTpl({
|
||||
_aggregation: _aggregation
|
||||
})
|
||||
].join(',\n');
|
||||
|
||||
var nullsQuery = nullsQueryTpl({
|
||||
_query: _query,
|
||||
_column: _column
|
||||
});
|
||||
|
||||
var dateHistogramQuery = dateHistogramQueryTpl({
|
||||
_query: _query,
|
||||
_column: _column,
|
||||
_aggregation: _aggregation,
|
||||
_offset: parseOffset(_offset, _aggregation)
|
||||
});
|
||||
|
||||
var histogramSql = [
|
||||
"WITH",
|
||||
[
|
||||
dateBasicsQuery,
|
||||
dateBinsQuery,
|
||||
nullsQuery
|
||||
].join(',\n'),
|
||||
dateHistogramQuery
|
||||
].join('\n');
|
||||
|
||||
debug(histogramSql);
|
||||
|
||||
return callback(null, histogramSql);
|
||||
};
|
||||
|
||||
Histogram.prototype.getAutomaticAggregation = function (psql, callback) {
|
||||
var dateIntervalQuery = dateIntervalQueryTpl({
|
||||
query: this.query,
|
||||
column: this.column
|
||||
});
|
||||
|
||||
debug(dateIntervalQuery);
|
||||
|
||||
psql.query(dateIntervalQuery, function (err, result) {
|
||||
if (err) {
|
||||
return callback(err);
|
||||
switch (this._getHistogramSubtype(override)) {
|
||||
case DATE_HISTOGRAM:
|
||||
debug('Delegating to DateHistogram with options: %j and overriding: %j', this.options, override);
|
||||
implementation = new DateHistogram(this.query, this.options, this.queries);
|
||||
break;
|
||||
case NUMERIC_HISTOGRAM:
|
||||
debug('Delegating to NumericHistogram with options: %j and overriding: %j', this.options, override);
|
||||
implementation = new NumericHistogram(this.query, this.options, this.queries);
|
||||
break;
|
||||
default:
|
||||
throw new Error('Unsupported Histogram type');
|
||||
}
|
||||
|
||||
var aggegations = result.rows[0];
|
||||
var aggregation = Object.keys(aggegations)
|
||||
.map(function (key) {
|
||||
return {
|
||||
name: key,
|
||||
value: aggegations[key]
|
||||
};
|
||||
})
|
||||
.reduce(function (closer, current) {
|
||||
if (current.value > MAX_INTERVAL_VALUE) {
|
||||
return closer;
|
||||
}
|
||||
return implementation;
|
||||
}
|
||||
|
||||
var closerDiff = MAX_INTERVAL_VALUE - closer.value;
|
||||
var currentDiff = MAX_INTERVAL_VALUE - current.value;
|
||||
|
||||
if (Number.isFinite(current.value) && closerDiff > currentDiff) {
|
||||
return current;
|
||||
}
|
||||
|
||||
return closer;
|
||||
}, { name: 'none', value: -1 });
|
||||
|
||||
callback(null, aggregation.name);
|
||||
});
|
||||
};
|
||||
|
||||
Histogram.prototype.format = function(result, override) {
|
||||
override = override || {};
|
||||
var buckets = [];
|
||||
|
||||
var binsCount = getBinsCount(override);
|
||||
var width = getWidth(override);
|
||||
var binsStart = getBinStart(override);
|
||||
var nulls = 0;
|
||||
var infinities = 0;
|
||||
var nans = 0;
|
||||
var avg;
|
||||
var timestampStart;
|
||||
var aggregation;
|
||||
var offset;
|
||||
|
||||
if (result.rows.length) {
|
||||
var firstRow = result.rows[0];
|
||||
binsCount = firstRow.bins_number;
|
||||
width = firstRow.bin_width || width;
|
||||
avg = firstRow.avg_val;
|
||||
nulls = firstRow.nulls_count;
|
||||
timestampStart = firstRow.timestamp_start;
|
||||
infinities = firstRow.infinities_count;
|
||||
nans = firstRow.nans_count;
|
||||
binsStart = populateBinStart(override, firstRow);
|
||||
|
||||
if (Number.isFinite(timestampStart)) {
|
||||
aggregation = getAggregation(override, this.aggregation);
|
||||
offset = getOffset(override, this.offset);
|
||||
_getHistogramSubtype (override) {
|
||||
if(this._isDateHistogram(override)) {
|
||||
return DATE_HISTOGRAM;
|
||||
}
|
||||
|
||||
buckets = result.rows.map(function(row) {
|
||||
return _.omit(
|
||||
row,
|
||||
'bins_number',
|
||||
'bin_width',
|
||||
'nulls_count',
|
||||
'infinities_count',
|
||||
'nans_count',
|
||||
'avg_val',
|
||||
'timestamp_start'
|
||||
);
|
||||
});
|
||||
return NUMERIC_HISTOGRAM;
|
||||
}
|
||||
|
||||
return {
|
||||
aggregation: aggregation,
|
||||
offset: offset,
|
||||
timestamp_start: timestampStart,
|
||||
bin_width: width,
|
||||
bins_count: binsCount,
|
||||
bins_start: binsStart,
|
||||
nulls: nulls,
|
||||
infinities: infinities,
|
||||
nans: nans,
|
||||
avg: avg,
|
||||
bins: buckets
|
||||
};
|
||||
};
|
||||
|
||||
function getAggregation(override, aggregation) {
|
||||
return override && override.aggregation ? override.aggregation : aggregation;
|
||||
}
|
||||
|
||||
function getOffset(override, offset) {
|
||||
if (override && override.offset) {
|
||||
return override.offset;
|
||||
}
|
||||
if (offset) {
|
||||
return offset;
|
||||
}
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
function getBinStart(override) {
|
||||
if (override.hasOwnProperty('start') && override.hasOwnProperty('end')) {
|
||||
return Math.min(override.start, override.end);
|
||||
}
|
||||
return override.start || 0;
|
||||
}
|
||||
|
||||
function getBinEnd(override) {
|
||||
if (override.hasOwnProperty('start') && override.hasOwnProperty('end')) {
|
||||
return Math.max(override.start, override.end);
|
||||
}
|
||||
return override.end || 0;
|
||||
}
|
||||
|
||||
function getBinsCount(override) {
|
||||
return override.bins || 0;
|
||||
}
|
||||
|
||||
function getWidth(override) {
|
||||
var width = 0;
|
||||
var binsCount = override.bins;
|
||||
|
||||
if (binsCount && Number.isFinite(override.start) && Number.isFinite(override.end)) {
|
||||
width = (override.end - override.start) / binsCount;
|
||||
}
|
||||
|
||||
return width;
|
||||
}
|
||||
|
||||
function parseOffset(offset, aggregation) {
|
||||
if (!offset) {
|
||||
return '0';
|
||||
}
|
||||
if (aggregation === 'hour' || aggregation === 'minute') {
|
||||
return '0';
|
||||
}
|
||||
|
||||
var offsetInHours = Math.ceil(offset / 3600);
|
||||
return '' + offsetInHours;
|
||||
}
|
||||
|
||||
function populateBinStart(override, firstRow) {
|
||||
var binStart;
|
||||
|
||||
if (firstRow.hasOwnProperty('timestamp')) {
|
||||
binStart = firstRow.timestamp;
|
||||
} else if (override.hasOwnProperty('start')) {
|
||||
binStart = getBinStart(override);
|
||||
} else {
|
||||
binStart = firstRow.min;
|
||||
}
|
||||
|
||||
return binStart;
|
||||
}
|
||||
|
||||
Histogram.prototype.getType = function() {
|
||||
return TYPE;
|
||||
};
|
||||
|
||||
Histogram.prototype.toString = function() {
|
||||
return JSON.stringify({
|
||||
_type: TYPE,
|
||||
_column: this.column,
|
||||
_query: this.query
|
||||
});
|
||||
_isDateHistogram (override = {}) {
|
||||
return (this.options.hasOwnProperty('aggregation') || override.hasOwnProperty('aggregation'));
|
||||
}
|
||||
|
||||
getResult (psql, override, callback) {
|
||||
this.histogramImplementation = this._getHistogramImplementation(override);
|
||||
this.histogramImplementation.getResult(psql, override, callback);
|
||||
}
|
||||
|
||||
// In order to keep previous behaviour with overviews,
|
||||
// we have to expose the following methods to bypass
|
||||
// the concrete overview implementation
|
||||
|
||||
sql (psql, override, callback) {
|
||||
this.histogramImplementation.sql(psql, override, callback);
|
||||
}
|
||||
|
||||
format (result, override) {
|
||||
return this.histogramImplementation.format(result, override);
|
||||
}
|
||||
|
||||
getType () {
|
||||
return this.histogramImplementation.getType();
|
||||
}
|
||||
|
||||
toString () {
|
||||
return this.histogramImplementation.toString();
|
||||
}
|
||||
};
|
||||
|
||||
85
lib/cartodb/models/dataview/histograms/base-histogram.js
Normal file
85
lib/cartodb/models/dataview/histograms/base-histogram.js
Normal file
@@ -0,0 +1,85 @@
|
||||
const BaseDataview = require('../base');
|
||||
|
||||
const TYPE = 'histogram';
|
||||
|
||||
module.exports = class BaseHistogram extends BaseDataview {
|
||||
constructor (query, options, queries) {
|
||||
super();
|
||||
|
||||
if (typeof options.column !== 'string') {
|
||||
throw new Error('Histogram expects `column` in widget options');
|
||||
}
|
||||
|
||||
this.query = query;
|
||||
this.queries = queries;
|
||||
this.column = options.column;
|
||||
this.bins = options.bins;
|
||||
|
||||
this._columnType = null;
|
||||
}
|
||||
|
||||
sql (psql, override, callback) {
|
||||
if (!callback) {
|
||||
callback = override;
|
||||
override = {};
|
||||
}
|
||||
|
||||
if (this._columnType === null) {
|
||||
this.getColumnType(psql, this.column, this.queries.no_filters, (err, type) => {
|
||||
// assume numeric, will fail later
|
||||
this._columnType = 'numeric';
|
||||
if (!err && !!type) {
|
||||
this._columnType = Object.keys(type).find(function (key) {
|
||||
return type[key];
|
||||
});
|
||||
}
|
||||
this.sql(psql, override, callback);
|
||||
}, true); // use read-only transaction
|
||||
return null;
|
||||
}
|
||||
|
||||
return this._buildQuery(psql, override, callback);
|
||||
}
|
||||
|
||||
format (result, override) {
|
||||
const histogram = this._getSummary(result, override);
|
||||
histogram.bins = this._getBuckets(result);
|
||||
return histogram;
|
||||
}
|
||||
|
||||
getType () {
|
||||
return TYPE;
|
||||
}
|
||||
|
||||
toString () {
|
||||
return JSON.stringify({
|
||||
_type: TYPE,
|
||||
_column: this.column,
|
||||
_query: this.query
|
||||
});
|
||||
}
|
||||
|
||||
_hasOverridenRange (override) {
|
||||
return override && override.hasOwnProperty('start') && override.hasOwnProperty('end');
|
||||
}
|
||||
|
||||
_getBinStart (override = {}) {
|
||||
if (this._hasOverridenRange(override)) {
|
||||
return Math.min(override.start, override.end);
|
||||
}
|
||||
|
||||
return override.start || 0;
|
||||
}
|
||||
|
||||
_getBinEnd (override = {}) {
|
||||
if (this._hasOverridenRange(override)) {
|
||||
return Math.max(override.start, override.end);
|
||||
}
|
||||
|
||||
return override.end || 0;
|
||||
}
|
||||
|
||||
_getBinsCount (override = {}) {
|
||||
return override.bins || 0;
|
||||
}
|
||||
};
|
||||
302
lib/cartodb/models/dataview/histograms/date-histogram.js
Normal file
302
lib/cartodb/models/dataview/histograms/date-histogram.js
Normal file
@@ -0,0 +1,302 @@
|
||||
const BaseHistogram = require('./base-histogram');
|
||||
const debug = require('debug')('windshaft:dataview:date-histogram');
|
||||
|
||||
const dateIntervalQueryTpl = ctx => `
|
||||
WITH
|
||||
__cdb_dates AS (
|
||||
SELECT
|
||||
MAX(${ctx.column}::timestamp) AS __cdb_end,
|
||||
MIN(${ctx.column}::timestamp) AS __cdb_start
|
||||
FROM (${ctx.query}) __cdb_source
|
||||
),
|
||||
__cdb_interval_in_days AS (
|
||||
SELECT
|
||||
DATE_PART('day', __cdb_end - __cdb_start) AS __cdb_days
|
||||
FROM __cdb_dates
|
||||
),
|
||||
__cdb_interval_in_hours AS (
|
||||
SELECT
|
||||
__cdb_days * 24 + DATE_PART('hour', __cdb_end - __cdb_start) AS __cdb_hours
|
||||
FROM __cdb_interval_in_days, __cdb_dates
|
||||
),
|
||||
__cdb_interval_in_minutes AS (
|
||||
SELECT
|
||||
__cdb_hours * 60 + DATE_PART('minute', __cdb_end - __cdb_start) AS __cdb_minutes
|
||||
FROM __cdb_interval_in_hours, __cdb_dates
|
||||
),
|
||||
__cdb_interval_in_seconds AS (
|
||||
SELECT
|
||||
__cdb_minutes * 60 + DATE_PART('second', __cdb_end - __cdb_start) AS __cdb_seconds
|
||||
FROM __cdb_interval_in_minutes, __cdb_dates
|
||||
)
|
||||
SELECT
|
||||
ROUND(__cdb_days / 365) AS year,
|
||||
ROUND(__cdb_days / 90) AS quarter,
|
||||
ROUND(__cdb_days / 30) AS month,
|
||||
ROUND(__cdb_days / 7) AS week,
|
||||
__cdb_days AS day,
|
||||
__cdb_hours AS hour,
|
||||
__cdb_minutes AS minute,
|
||||
__cdb_seconds AS second
|
||||
FROM __cdb_interval_in_days, __cdb_interval_in_hours, __cdb_interval_in_minutes, __cdb_interval_in_seconds
|
||||
`;
|
||||
|
||||
const nullsQueryTpl = ctx => `
|
||||
__cdb_nulls AS (
|
||||
SELECT
|
||||
count(*) AS __cdb_nulls_count
|
||||
FROM (${ctx.query}) __cdb_histogram_nulls
|
||||
WHERE ${ctx.column} IS NULL
|
||||
)
|
||||
`;
|
||||
|
||||
const dateBasicsQueryTpl = ctx => `
|
||||
__cdb_basics AS (
|
||||
SELECT
|
||||
max(date_part('epoch', ${ctx.column})) AS __cdb_max_val,
|
||||
min(date_part('epoch', ${ctx.column})) AS __cdb_min_val,
|
||||
avg(date_part('epoch', ${ctx.column})) AS __cdb_avg_val,
|
||||
min(
|
||||
date_trunc(
|
||||
'${ctx.aggregation}', ${ctx.column}::timestamp AT TIME ZONE '${ctx.offset}'
|
||||
)
|
||||
) AS __cdb_start_date,
|
||||
max(${ctx.column}::timestamp AT TIME ZONE '${ctx.offset}') AS __cdb_end_date,
|
||||
count(1) AS __cdb_total_rows
|
||||
FROM (${ctx.query}) __cdb_basics_query
|
||||
)
|
||||
`;
|
||||
|
||||
const dateOverrideBasicsQueryTpl = ctx => `
|
||||
__cdb_basics AS (
|
||||
SELECT
|
||||
max(${ctx.end})::float AS __cdb_max_val,
|
||||
min(${ctx.start})::float AS __cdb_min_val,
|
||||
avg(date_part('epoch', ${ctx.column})) AS __cdb_avg_val,
|
||||
min(
|
||||
date_trunc(
|
||||
'${ctx.aggregation}',
|
||||
TO_TIMESTAMP(${ctx.start})::timestamp AT TIME ZONE '${ctx.offset}'
|
||||
)
|
||||
) AS __cdb_start_date,
|
||||
max(
|
||||
TO_TIMESTAMP(${ctx.end})::timestamp AT TIME ZONE '${ctx.offset}'
|
||||
) AS __cdb_end_date,
|
||||
count(1) AS __cdb_total_rows
|
||||
FROM (${ctx.query}) __cdb_basics_query
|
||||
)
|
||||
`;
|
||||
|
||||
const dateBinsQueryTpl = ctx => `
|
||||
__cdb_bins AS (
|
||||
SELECT
|
||||
__cdb_bins_array,
|
||||
ARRAY_LENGTH(__cdb_bins_array, 1) AS __cdb_bins_number
|
||||
FROM (
|
||||
SELECT
|
||||
ARRAY(
|
||||
SELECT GENERATE_SERIES(
|
||||
__cdb_start_date::timestamptz,
|
||||
__cdb_end_date::timestamptz,
|
||||
${ctx.aggregation === 'quarter' ? `'3 month'::interval` : `'1 ${ctx.aggregation}'::interval`}
|
||||
)
|
||||
) AS __cdb_bins_array
|
||||
FROM __cdb_basics
|
||||
) __cdb_bins_array_query
|
||||
)
|
||||
`;
|
||||
|
||||
const dateHistogramQueryTpl = ctx => `
|
||||
SELECT
|
||||
(__cdb_max_val - __cdb_min_val) / cast(__cdb_bins_number as float) AS bin_width,
|
||||
__cdb_bins_number AS bins_number,
|
||||
__cdb_nulls_count AS nulls_count,
|
||||
CASE WHEN __cdb_min_val = __cdb_max_val
|
||||
THEN 0
|
||||
ELSE GREATEST(
|
||||
1,
|
||||
LEAST(
|
||||
WIDTH_BUCKET(
|
||||
${ctx.column}::timestamp AT TIME ZONE '${ctx.offset}',
|
||||
__cdb_bins_array
|
||||
),
|
||||
__cdb_bins_number
|
||||
)
|
||||
) - 1
|
||||
END AS bin,
|
||||
min(
|
||||
date_part(
|
||||
'epoch',
|
||||
date_trunc(
|
||||
'${ctx.aggregation}', ${ctx.column}::timestamp AT TIME ZONE '${ctx.offset}'
|
||||
) AT TIME ZONE '${ctx.offset}'
|
||||
)
|
||||
)::numeric AS timestamp,
|
||||
date_part('epoch', __cdb_start_date)::numeric AS timestamp_start,
|
||||
min(date_part('epoch', ${ctx.column}))::numeric AS min,
|
||||
max(date_part('epoch', ${ctx.column}))::numeric AS max,
|
||||
avg(date_part('epoch', ${ctx.column}))::numeric AS avg,
|
||||
count(*) AS freq
|
||||
FROM (${ctx.query}) __cdb_histogram, __cdb_basics, __cdb_bins, __cdb_nulls
|
||||
WHERE date_part('epoch', ${ctx.column}) IS NOT NULL
|
||||
GROUP BY bin, bins_number, bin_width, nulls_count, timestamp_start
|
||||
ORDER BY bin
|
||||
`;
|
||||
|
||||
const MAX_INTERVAL_VALUE = 366;
|
||||
|
||||
const DATE_AGGREGATIONS = {
|
||||
'auto': true,
|
||||
'minute': true,
|
||||
'hour': true,
|
||||
'day': true,
|
||||
'week': true,
|
||||
'month': true,
|
||||
'quarter': true,
|
||||
'year': true
|
||||
};
|
||||
|
||||
/**
|
||||
date_histogram: {
|
||||
type: 'histogram',
|
||||
options: {
|
||||
column: 'date', // column data type: date
|
||||
aggregation: 'day' // MANDATORY
|
||||
offset: -7200 // OPTIONAL (UTC offset in seconds)
|
||||
}
|
||||
}
|
||||
*/
|
||||
module.exports = class DateHistogram extends BaseHistogram {
|
||||
constructor (query, options, queries) {
|
||||
super(query, options, queries);
|
||||
|
||||
this.aggregation = options.aggregation;
|
||||
this.offset = options.offset;
|
||||
}
|
||||
|
||||
_buildQueryTpl (ctx) {
|
||||
return `
|
||||
WITH
|
||||
${this._hasOverridenRange(ctx.override) ? dateOverrideBasicsQueryTpl(ctx) : dateBasicsQueryTpl(ctx)},
|
||||
${dateBinsQueryTpl(ctx)},
|
||||
${nullsQueryTpl(ctx)}
|
||||
${dateHistogramQueryTpl(ctx)}
|
||||
`;
|
||||
}
|
||||
|
||||
_buildQuery (psql, override, callback) {
|
||||
if (!this._isValidAggregation(override)) {
|
||||
return callback(new Error('Invalid aggregation value. Valid ones: ' +
|
||||
Object.keys(DATE_AGGREGATIONS).join(', ')
|
||||
));
|
||||
}
|
||||
|
||||
if (this._getAggregation(override) === 'auto') {
|
||||
this._getAutomaticAggregation(psql, function (err, aggregation) {
|
||||
if (err || aggregation === 'none') {
|
||||
this.aggregation = 'day';
|
||||
} else {
|
||||
this.aggregation = aggregation;
|
||||
}
|
||||
override.aggregation = this.aggregation;
|
||||
this._buildQuery(psql, override, callback);
|
||||
}.bind(this));
|
||||
return null;
|
||||
}
|
||||
|
||||
const histogramSql = this._buildQueryTpl({
|
||||
override: override,
|
||||
query: this.query,
|
||||
column: this.column,
|
||||
aggregation: this._getAggregation(override),
|
||||
start: this._getBinStart(override),
|
||||
end: this._getBinEnd(override),
|
||||
offset: this._parseOffset(override)
|
||||
});
|
||||
|
||||
debug(histogramSql);
|
||||
|
||||
return callback(null, histogramSql);
|
||||
}
|
||||
|
||||
_isValidAggregation (override) {
|
||||
return DATE_AGGREGATIONS.hasOwnProperty(this._getAggregation(override));
|
||||
}
|
||||
|
||||
_getAutomaticAggregation (psql, callback) {
|
||||
const dateIntervalQuery = dateIntervalQueryTpl({
|
||||
query: this.query,
|
||||
column: this.column
|
||||
});
|
||||
|
||||
psql.query(dateIntervalQuery, function (err, result) {
|
||||
if (err) {
|
||||
return callback(err);
|
||||
}
|
||||
|
||||
const aggegations = result.rows[0];
|
||||
const aggregation = Object.keys(aggegations)
|
||||
.map(key => ({ name: key, value: aggegations[key] }))
|
||||
.reduce((closer, current) => {
|
||||
if (current.value > MAX_INTERVAL_VALUE) {
|
||||
return closer;
|
||||
}
|
||||
|
||||
const closerDiff = MAX_INTERVAL_VALUE - closer.value;
|
||||
const currentDiff = MAX_INTERVAL_VALUE - current.value;
|
||||
|
||||
if (Number.isFinite(current.value) && closerDiff > currentDiff) {
|
||||
return current;
|
||||
}
|
||||
|
||||
return closer;
|
||||
}, { name: 'none', value: -1 });
|
||||
|
||||
callback(null, aggregation.name);
|
||||
});
|
||||
}
|
||||
|
||||
_getSummary (result, override) {
|
||||
const firstRow = result.rows[0] || {};
|
||||
|
||||
return {
|
||||
aggregation: this._getAggregation(override),
|
||||
offset: this._getOffset(override),
|
||||
timestamp_start: firstRow.timestamp_start,
|
||||
|
||||
bin_width: firstRow.bin_width,
|
||||
bins_count: firstRow.bins_number,
|
||||
bins_start: firstRow.timestamp,
|
||||
nulls: firstRow.nulls_count,
|
||||
infinities: firstRow.infinities_count,
|
||||
nans: firstRow.nans_count,
|
||||
avg: firstRow.avg_val
|
||||
};
|
||||
}
|
||||
|
||||
_getBuckets (result) {
|
||||
return result.rows.map(({ bin, min, max, avg, freq, timestamp }) => ({ bin, min, max, avg, freq, timestamp }));
|
||||
}
|
||||
|
||||
_getAggregation (override = {}) {
|
||||
return override.aggregation ? override.aggregation : this.aggregation;
|
||||
}
|
||||
|
||||
_getOffset (override = {}) {
|
||||
return Number.isFinite(override.offset) ? override.offset : (this.offset || 0);
|
||||
}
|
||||
|
||||
_parseOffset (override) {
|
||||
if (this._shouldIgnoreOffset(override)) {
|
||||
return '0';
|
||||
}
|
||||
|
||||
const offsetInHours = Math.ceil(this._getOffset(override) / 3600);
|
||||
|
||||
return '' + offsetInHours;
|
||||
}
|
||||
|
||||
_shouldIgnoreOffset (override) {
|
||||
return (this._getAggregation(override) === 'hour' || this._getAggregation(override) === 'minute');
|
||||
}
|
||||
};
|
||||
234
lib/cartodb/models/dataview/histograms/numeric-histogram.js
Normal file
234
lib/cartodb/models/dataview/histograms/numeric-histogram.js
Normal file
@@ -0,0 +1,234 @@
|
||||
const BaseHistogram = require('./base-histogram');
|
||||
const debug = require('debug')('windshaft:dataview:numeric-histogram');
|
||||
|
||||
const columnCastTpl = ctx => `date_part('epoch', ${ctx.column})`;
|
||||
|
||||
const filterOutSpecialNumericValues = ctx => `
|
||||
${ctx.column} != 'infinity'::float
|
||||
AND
|
||||
${ctx.column} != '-infinity'::float
|
||||
AND
|
||||
${ctx.column} != 'NaN'::float
|
||||
`;
|
||||
|
||||
const filteredQueryTpl = ctx => `
|
||||
__cdb_filtered_source AS (
|
||||
SELECT *
|
||||
FROM (${ctx.query}) __cdb_filtered_source_query
|
||||
WHERE ${ctx.column} IS NOT NULL
|
||||
${ctx.isFloatColumn ? `AND ${filterOutSpecialNumericValues(ctx)}` : ''}
|
||||
)
|
||||
`;
|
||||
|
||||
const basicsQueryTpl = ctx => `
|
||||
__cdb_basics AS (
|
||||
SELECT
|
||||
max(${ctx.column}) AS __cdb_max_val, min(${ctx.column}) AS __cdb_min_val,
|
||||
avg(${ctx.column}) AS __cdb_avg_val, count(1) AS __cdb_total_rows
|
||||
FROM __cdb_filtered_source
|
||||
)
|
||||
`;
|
||||
|
||||
const overrideBasicsQueryTpl = ctx => `
|
||||
__cdb_basics AS (
|
||||
SELECT
|
||||
max(${ctx.end}) AS __cdb_max_val, min(${ctx.start}) AS __cdb_min_val,
|
||||
avg(${ctx.column}) AS __cdb_avg_val, count(1) AS __cdb_total_rows
|
||||
FROM __cdb_filtered_source
|
||||
)
|
||||
`;
|
||||
|
||||
const iqrQueryTpl = ctx => `
|
||||
__cdb_iqrange AS (
|
||||
SELECT max(quartile_max) - min(quartile_max) AS __cdb_iqr
|
||||
FROM (
|
||||
SELECT quartile, max(_cdb_iqr_column) AS quartile_max from (
|
||||
SELECT ${ctx.column} AS _cdb_iqr_column, ntile(4) over (order by ${ctx.column}
|
||||
) AS quartile
|
||||
FROM __cdb_filtered_source) _cdb_quartiles
|
||||
WHERE quartile = 1 or quartile = 3
|
||||
GROUP BY quartile
|
||||
) __cdb_iqr
|
||||
)
|
||||
`;
|
||||
|
||||
const binsQueryTpl = ctx => `
|
||||
__cdb_bins AS (
|
||||
SELECT
|
||||
CASE WHEN __cdb_total_rows = 0 OR __cdb_iqr = 0
|
||||
THEN 1
|
||||
ELSE GREATEST(
|
||||
LEAST(${ctx.minBins}, CAST(__cdb_total_rows AS INT)),
|
||||
LEAST(
|
||||
CAST(((__cdb_max_val - __cdb_min_val) / (2 * __cdb_iqr * power(__cdb_total_rows, 1/3))) AS INT),
|
||||
${ctx.maxBins}
|
||||
)
|
||||
)
|
||||
END AS __cdb_bins_number
|
||||
FROM __cdb_basics, __cdb_iqrange, __cdb_filtered_source
|
||||
LIMIT 1
|
||||
)
|
||||
`;
|
||||
|
||||
const overrideBinsQueryTpl = ctx => `
|
||||
__cdb_bins AS (
|
||||
SELECT ${ctx.override.bins} AS __cdb_bins_number
|
||||
)
|
||||
`;
|
||||
|
||||
const nullsQueryTpl = ctx => `
|
||||
__cdb_nulls AS (
|
||||
SELECT
|
||||
count(*) AS __cdb_nulls_count
|
||||
FROM (${ctx.query}) __cdb_histogram_nulls
|
||||
WHERE ${ctx.column} IS NULL
|
||||
)
|
||||
`;
|
||||
|
||||
const infinitiesQueryTpl = ctx => `
|
||||
__cdb_infinities AS (
|
||||
SELECT
|
||||
count(*) AS __cdb_infinities_count
|
||||
FROM (${ctx.query}) __cdb_infinities_query
|
||||
WHERE
|
||||
${ctx.column} = 'infinity'::float
|
||||
OR
|
||||
${ctx.column} = '-infinity'::float
|
||||
)
|
||||
`;
|
||||
|
||||
const nansQueryTpl = ctx => `
|
||||
__cdb_nans AS (
|
||||
SELECT
|
||||
count(*) AS __cdb_nans_count
|
||||
FROM (${ctx.query}) __cdb_nans_query
|
||||
WHERE ${ctx.column} = 'NaN'::float
|
||||
)
|
||||
`;
|
||||
|
||||
const specialNumericValuesColumnDefinitionTpl = () => `
|
||||
__cdb_infinities_count AS infinities_count,
|
||||
__cdb_nans_count AS nans_count
|
||||
`;
|
||||
|
||||
const specialNumericValuesCTETpl = () => `
|
||||
__cdb_infinities, __cdb_nans
|
||||
`;
|
||||
|
||||
const specialNumericValuesColumnTpl = () => `
|
||||
infinities_count, nans_count
|
||||
`;
|
||||
|
||||
const histogramQueryTpl = ctx => `
|
||||
SELECT
|
||||
(__cdb_max_val - __cdb_min_val) / cast(__cdb_bins_number as float) AS bin_width,
|
||||
__cdb_bins_number AS bins_number,
|
||||
__cdb_nulls_count AS nulls_count,
|
||||
${ctx.isFloatColumn ? `${specialNumericValuesColumnDefinitionTpl()},` : ''}
|
||||
__cdb_avg_val AS avg_val,
|
||||
CASE WHEN __cdb_min_val = __cdb_max_val
|
||||
THEN 0
|
||||
ELSE GREATEST(
|
||||
1,
|
||||
LEAST(
|
||||
WIDTH_BUCKET(${ctx.column}, __cdb_min_val, __cdb_max_val, __cdb_bins_number),
|
||||
__cdb_bins_number
|
||||
)
|
||||
) - 1
|
||||
END AS bin,
|
||||
min(${ctx.column})::numeric AS min,
|
||||
max(${ctx.column})::numeric AS max,
|
||||
avg(${ctx.column})::numeric AS avg,
|
||||
count(*) AS freq
|
||||
FROM __cdb_filtered_source, __cdb_basics, __cdb_nulls, __cdb_bins
|
||||
${ctx.isFloatColumn ? `, ${specialNumericValuesCTETpl()}` : ''}
|
||||
GROUP BY bin, bins_number, bin_width, nulls_count, avg_val
|
||||
${ctx.isFloatColumn ? `, ${specialNumericValuesColumnTpl()}` : ''}
|
||||
ORDER BY bin
|
||||
`;
|
||||
|
||||
const BIN_MIN_NUMBER = 6;
|
||||
const BIN_MAX_NUMBER = 48;
|
||||
|
||||
/**
|
||||
Numeric histogram:
|
||||
{
|
||||
type: 'histogram',
|
||||
options: {
|
||||
column: 'name', // column data type: numeric
|
||||
bins: 10 // OPTIONAL
|
||||
}
|
||||
}
|
||||
*/
|
||||
module.exports = class NumericHistogram extends BaseHistogram {
|
||||
constructor (query, options, queries) {
|
||||
super(query, options, queries);
|
||||
}
|
||||
|
||||
_buildQuery (psql, override, callback) {
|
||||
const histogramSql = this._buildQueryTpl({
|
||||
override: override,
|
||||
column: this._columnType === 'date' ? columnCastTpl({ column: this.column }) : this.column,
|
||||
isFloatColumn: this._columnType === 'float',
|
||||
query: this.query,
|
||||
start: this._getBinStart(override),
|
||||
end: this._getBinEnd(override),
|
||||
minBins: BIN_MIN_NUMBER,
|
||||
maxBins: BIN_MAX_NUMBER,
|
||||
});
|
||||
|
||||
debug(histogramSql);
|
||||
|
||||
return callback(null, histogramSql);
|
||||
}
|
||||
|
||||
_buildQueryTpl (ctx) {
|
||||
return `
|
||||
WITH
|
||||
${filteredQueryTpl(ctx)},
|
||||
${this._hasOverridenRange(ctx.override) ? overrideBasicsQueryTpl(ctx) : basicsQueryTpl(ctx)},
|
||||
${this._hasOverridenBins(ctx.override) ?
|
||||
overrideBinsQueryTpl(ctx) :
|
||||
`${iqrQueryTpl(ctx)}, ${binsQueryTpl(ctx)}`
|
||||
},
|
||||
${nullsQueryTpl(ctx)}
|
||||
${ctx.isFloatColumn ? `,${infinitiesQueryTpl(ctx)}, ${nansQueryTpl(ctx)}` : ''}
|
||||
${histogramQueryTpl(ctx)}
|
||||
`;
|
||||
}
|
||||
|
||||
_hasOverridenBins (override) {
|
||||
return override && override.hasOwnProperty('bins');
|
||||
}
|
||||
|
||||
_getSummary (result, override) {
|
||||
const firstRow = result.rows[0] || {};
|
||||
|
||||
return {
|
||||
bin_width: firstRow.bin_width,
|
||||
bins_count: firstRow.bins_number,
|
||||
bins_start: this._populateBinStart(firstRow, override),
|
||||
nulls: firstRow.nulls_count,
|
||||
infinities: firstRow.infinities_count,
|
||||
nans: firstRow.nans_count,
|
||||
avg: firstRow.avg_val,
|
||||
};
|
||||
}
|
||||
|
||||
_getBuckets (result) {
|
||||
return result.rows.map(({ bin, min, max, avg, freq }) => ({ bin, min, max, avg, freq }));
|
||||
}
|
||||
|
||||
_populateBinStart (firstRow, override = {}) {
|
||||
let binStart;
|
||||
|
||||
if (override.hasOwnProperty('start')) {
|
||||
binStart = this._getBinStart(override);
|
||||
} else {
|
||||
binStart = firstRow.min;
|
||||
}
|
||||
|
||||
return binStart;
|
||||
}
|
||||
|
||||
};
|
||||
@@ -1,6 +1,5 @@
|
||||
module.exports = {
|
||||
Aggregation: require('./aggregation'),
|
||||
Formula: require('./formula'),
|
||||
Histogram: require('./histogram'),
|
||||
List: require('./list')
|
||||
Histogram: require('./histogram')
|
||||
};
|
||||
|
||||
@@ -1,66 +0,0 @@
|
||||
var dot = require('dot');
|
||||
dot.templateSettings.strip = false;
|
||||
|
||||
var BaseWidget = require('./base');
|
||||
|
||||
var TYPE = 'list';
|
||||
|
||||
var listSqlTpl = dot.template('select {{=it._columns}} from ({{=it._query}}) as _cdb_list');
|
||||
|
||||
/**
|
||||
{
|
||||
type: 'list',
|
||||
options: {
|
||||
columns: ['name', 'description']
|
||||
}
|
||||
}
|
||||
*/
|
||||
|
||||
function List(query, options) {
|
||||
options = options || {};
|
||||
|
||||
if (!Array.isArray(options.columns)) {
|
||||
throw new Error('List expects `columns` array in widget options');
|
||||
}
|
||||
|
||||
BaseWidget.apply(this);
|
||||
|
||||
this.query = query;
|
||||
this.columns = options.columns;
|
||||
}
|
||||
|
||||
List.prototype = new BaseWidget();
|
||||
List.prototype.constructor = List;
|
||||
|
||||
module.exports = List;
|
||||
|
||||
List.prototype.sql = function(psql, override, callback) {
|
||||
if (!callback) {
|
||||
callback = override;
|
||||
}
|
||||
|
||||
var listSql = listSqlTpl({
|
||||
_query: this.query,
|
||||
_columns: this.columns.join(', ')
|
||||
});
|
||||
|
||||
return callback(null, listSql);
|
||||
};
|
||||
|
||||
List.prototype.format = function(result) {
|
||||
return {
|
||||
rows: result.rows
|
||||
};
|
||||
};
|
||||
|
||||
List.prototype.getType = function() {
|
||||
return TYPE;
|
||||
};
|
||||
|
||||
List.prototype.toString = function() {
|
||||
return JSON.stringify({
|
||||
_type: TYPE,
|
||||
_query: this.query,
|
||||
_columns: this.columns.join(', ')
|
||||
});
|
||||
};
|
||||
@@ -1,6 +1,5 @@
|
||||
module.exports = {
|
||||
Aggregation: require('./aggregation'),
|
||||
Formula: require('./formula'),
|
||||
Histogram: require('./histogram'),
|
||||
List: require('./list')
|
||||
Histogram: require('./histogram')
|
||||
};
|
||||
|
||||
@@ -1,11 +0,0 @@
|
||||
var BaseOverviewsDataview = require('./base');
|
||||
var BaseDataview = require('../list');
|
||||
|
||||
function List(query, options, queryRewriter, queryRewriteData, params, queries) {
|
||||
BaseOverviewsDataview.call(this, query, options, BaseDataview, queryRewriter, queryRewriteData, params, queries);
|
||||
}
|
||||
|
||||
List.prototype = Object.create(BaseOverviewsDataview.prototype);
|
||||
List.prototype.constructor = List;
|
||||
|
||||
module.exports = List;
|
||||
@@ -4,6 +4,8 @@ var RedisPool = require('redis-mpool');
|
||||
var cartodbRedis = require('cartodb-redis');
|
||||
var _ = require('underscore');
|
||||
|
||||
var lzmaMiddleware = require('./middleware/lzma');
|
||||
|
||||
var controller = require('./controllers');
|
||||
|
||||
var SurrogateKeysCache = require('./cache/surrogate_keys_cache');
|
||||
@@ -364,6 +366,8 @@ function bootstrap(opts) {
|
||||
next();
|
||||
});
|
||||
|
||||
app.use(lzmaMiddleware);
|
||||
|
||||
// temporary measure until we upgrade to newer version expressjs so we can check err.status
|
||||
app.use(function(err, req, res, next) {
|
||||
if (err) {
|
||||
|
||||
28
package.json
28
package.json
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"private": true,
|
||||
"name": "windshaft-cartodb",
|
||||
"version": "3.12.3",
|
||||
"version": "4.0.0",
|
||||
"description": "A map tile server for CartoDB",
|
||||
"keywords": [
|
||||
"cartodb"
|
||||
@@ -17,17 +17,19 @@
|
||||
"Simon Tokumine <simon@vizzuality.com>",
|
||||
"Javi Santana <jsantana@vizzuality.com>",
|
||||
"Sandro Santilli <strk@vizzuality.com>",
|
||||
"Carlos Matallín <matallo@carto.com>"
|
||||
"Carlos Matallín <matallo@carto.com>",
|
||||
"Daniel Garcia Aubert <dgaubert@carto.com>",
|
||||
"Mario de Frutos <mario.defrutos@carto.com>"
|
||||
],
|
||||
"dependencies": {
|
||||
"body-parser": "~1.14.0",
|
||||
"camshaft": "0.55.8",
|
||||
"cartodb-psql": "0.10.1",
|
||||
"cartodb-query-tables": "0.2.0",
|
||||
"body-parser": "^1.18.2",
|
||||
"camshaft": "0.59.2",
|
||||
"cartodb-psql": "0.10.2",
|
||||
"cartodb-query-tables": "0.3.0",
|
||||
"cartodb-redis": "0.14.0",
|
||||
"debug": "~2.2.0",
|
||||
"debug": "^3.1.0",
|
||||
"dot": "~1.0.2",
|
||||
"express": "~4.13.3",
|
||||
"express": "~4.16.0",
|
||||
"fastly-purge": "~1.0.1",
|
||||
"log4js": "cartodb/log4js-node#cdb",
|
||||
"lru-cache": "2.6.5",
|
||||
@@ -35,12 +37,13 @@
|
||||
"node-statsd": "~0.0.7",
|
||||
"queue-async": "~1.0.7",
|
||||
"redis-mpool": "0.4.1",
|
||||
"request": "~2.79.0",
|
||||
"request": "^2.83.0",
|
||||
"semver": "~5.3.0",
|
||||
"step": "~0.0.6",
|
||||
"step-profiler": "~0.3.0",
|
||||
"turbo-carto": "0.19.2",
|
||||
"turbo-carto": "0.20.1",
|
||||
"underscore": "~1.6.0",
|
||||
"windshaft": "3.3.1",
|
||||
"windshaft": "3.3.3",
|
||||
"yargs": "~5.0.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
@@ -50,7 +53,6 @@
|
||||
"moment": "~2.18.1",
|
||||
"nock": "~2.11.0",
|
||||
"redis": "~0.12.1",
|
||||
"semver": "~1.1.4",
|
||||
"strftime": "~0.8.2"
|
||||
},
|
||||
"scripts": {
|
||||
@@ -60,6 +62,6 @@
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=6.9",
|
||||
"yarn": "^0.21.3"
|
||||
"yarn": ">=0.27.5 <1.0.0"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -5,34 +5,34 @@ var TestClient = require('../../support/test-client');
|
||||
var dot = require('dot');
|
||||
var debug = require('debug')('windshaft:cartodb:test');
|
||||
|
||||
describe('analysis-layers use cases', function() {
|
||||
describe('analysis-layers use cases', function () {
|
||||
|
||||
|
||||
var multitypeStyleTemplate = dot.template([
|
||||
"#points['mapnik::geometry_type'=1] {",
|
||||
" marker-fill-opacity: {{=it._opacity}};",
|
||||
" marker-line-color: #FFF;",
|
||||
" marker-line-width: 0.5;",
|
||||
" marker-line-opacity: {{=it._opacity}};",
|
||||
" marker-placement: point;",
|
||||
" marker-type: ellipse;",
|
||||
" marker-width: 8;",
|
||||
" marker-fill: {{=it._color}};",
|
||||
" marker-allow-overlap: true;",
|
||||
"}",
|
||||
"#lines['mapnik::geometry_type'=2] {",
|
||||
" line-color: {{=it._color}};",
|
||||
" line-width: 2;",
|
||||
" line-opacity: {{=it._opacity}};",
|
||||
"}",
|
||||
"#polygons['mapnik::geometry_type'=3] {",
|
||||
" polygon-fill: {{=it._color}};",
|
||||
" polygon-opacity: {{=it._opacity}};",
|
||||
" line-color: #FFF;",
|
||||
" line-width: 0.5;",
|
||||
" line-opacity: {{=it._opacity}};",
|
||||
"}"
|
||||
].join('\n'));
|
||||
var multitypeStyleTemplate = dot.template(
|
||||
`#points['mapnik::geometry_type'=1] {
|
||||
marker-fill-opacity: {{=it._opacity}};
|
||||
marker-line-color: #FFF;
|
||||
marker-line-width: 0.5;
|
||||
marker-line-opacity: {{=it._opacity}};
|
||||
marker-placement: point;
|
||||
marker-type: ellipse;
|
||||
marker-width: 8;
|
||||
marker-fill: {{=it._color}};
|
||||
marker-allow-overlap: true;
|
||||
}
|
||||
#lines['mapnik::geometry_type'=2] {
|
||||
line-color: {{=it._color}};
|
||||
line-width: 2;
|
||||
line-opacity: {{=it._opacity}};
|
||||
}
|
||||
#polygons['mapnik::geometry_type'=3] {
|
||||
polygon-fill: {{=it._color}};
|
||||
polygon-opacity: {{=it._opacity}};
|
||||
line-color: #FFF;
|
||||
line-width: 0.5;
|
||||
line-opacity: {{=it._opacity}};
|
||||
}`
|
||||
);
|
||||
|
||||
|
||||
function cartocss(color, opacity) {
|
||||
@@ -47,18 +47,53 @@ describe('analysis-layers use cases', function() {
|
||||
version: '1.5.0',
|
||||
layers: layers,
|
||||
dataviews: dataviews || {},
|
||||
analysis: analysis || []
|
||||
analyses: analysis || []
|
||||
};
|
||||
}
|
||||
|
||||
function analysisDef(analysis) {
|
||||
return JSON.stringify(analysis);
|
||||
}
|
||||
|
||||
var DEFAULT_MULTITYPE_STYLE = cartocss();
|
||||
|
||||
var TILE_ANALYSIS_TABLES = { z: 14, x: 8023, y: 6177 };
|
||||
|
||||
var pointInPolygonDef = {
|
||||
id: 'a1',
|
||||
type: 'point-in-polygon',
|
||||
params: {
|
||||
points_source: {
|
||||
type: 'source',
|
||||
params: {
|
||||
query: 'select * from analysis_rent_listings'
|
||||
}
|
||||
},
|
||||
polygons_source: {
|
||||
type: 'buffer',
|
||||
params: {
|
||||
source: {
|
||||
type: 'source',
|
||||
params: {
|
||||
query: 'select * from analysis_banks'
|
||||
}
|
||||
},
|
||||
radius: 250
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
var bufferDef = {
|
||||
id: 'b1',
|
||||
type: 'buffer',
|
||||
params: {
|
||||
source: {
|
||||
type: 'source',
|
||||
params: {
|
||||
query: 'select * from analysis_banks'
|
||||
}
|
||||
},
|
||||
radius: 250
|
||||
}
|
||||
};
|
||||
|
||||
var useCases = [
|
||||
{
|
||||
desc: '1 mapnik layer',
|
||||
@@ -68,7 +103,7 @@ describe('analysis-layers use cases', function() {
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
sql: "select * from analysis_rent_listings",
|
||||
sql: 'select * from analysis_rent_listings',
|
||||
cartocss: DEFAULT_MULTITYPE_STYLE,
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
@@ -83,7 +118,7 @@ describe('analysis-layers use cases', function() {
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
sql: "select * from analysis_banks",
|
||||
sql: 'select * from analysis_banks',
|
||||
cartocss: cartocss('#2167AB'),
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
@@ -91,7 +126,7 @@ describe('analysis-layers use cases', function() {
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
sql: "select * from analysis_rent_listings",
|
||||
sql: 'select * from analysis_rent_listings',
|
||||
cartocss: DEFAULT_MULTITYPE_STYLE,
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
@@ -105,30 +140,27 @@ describe('analysis-layers use cases', function() {
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
sql: "select * from analysis_rent_listings",
|
||||
sql: 'select * from analysis_rent_listings',
|
||||
cartocss: DEFAULT_MULTITYPE_STYLE,
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'analysis',
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
def: analysisDef({
|
||||
"type": "buffer",
|
||||
"params": {
|
||||
"source": {
|
||||
"type": "source",
|
||||
"params": {
|
||||
"query": "select * from analysis_banks"
|
||||
}
|
||||
},
|
||||
"radius": 250
|
||||
}
|
||||
}),
|
||||
cartocss: cartocss('black', 0.5)
|
||||
source: {
|
||||
id: 'b1'
|
||||
},
|
||||
cartocss: DEFAULT_MULTITYPE_STYLE,
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
}
|
||||
])
|
||||
],
|
||||
{},
|
||||
[
|
||||
bufferDef
|
||||
]
|
||||
)
|
||||
},
|
||||
|
||||
{
|
||||
@@ -137,531 +169,115 @@ describe('analysis-layers use cases', function() {
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
sql: "select * from analysis_rent_listings",
|
||||
sql: 'select * from analysis_rent_listings',
|
||||
cartocss: DEFAULT_MULTITYPE_STYLE,
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'analysis',
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
def: analysisDef({
|
||||
"type": "point-in-polygon",
|
||||
"params": {
|
||||
"pointsSource": {
|
||||
"type": "source",
|
||||
"params": {
|
||||
"query": "select * from analysis_rent_listings"
|
||||
}
|
||||
},
|
||||
"polygonsSource": {
|
||||
"type": "buffer",
|
||||
"params": {
|
||||
"source": {
|
||||
"type": "source",
|
||||
"params": {
|
||||
"query": "select * from analysis_banks"
|
||||
}
|
||||
},
|
||||
"radius": 250
|
||||
}
|
||||
}
|
||||
}
|
||||
}),
|
||||
cartocss: cartocss('green', 1.0)
|
||||
source: {
|
||||
id: 'a1'
|
||||
},
|
||||
cartocss: DEFAULT_MULTITYPE_STYLE,
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
}
|
||||
])
|
||||
],
|
||||
{},
|
||||
[
|
||||
pointInPolygonDef
|
||||
]
|
||||
)
|
||||
},
|
||||
|
||||
{
|
||||
desc: 'point-in-polygon from buffer atm-machines and rent listings + rent listings',
|
||||
mapConfig: mapConfig([
|
||||
{
|
||||
type: 'analysis',
|
||||
options: {
|
||||
def: analysisDef({
|
||||
"type": "point-in-polygon",
|
||||
"params": {
|
||||
"pointsSource": {
|
||||
"type": "source",
|
||||
"params": {
|
||||
"query": "select * from analysis_rent_listings"
|
||||
}
|
||||
},
|
||||
"polygonsSource": {
|
||||
"type": "buffer",
|
||||
"params": {
|
||||
"source": {
|
||||
"type": "source",
|
||||
"params": {
|
||||
"query": "select * from analysis_banks"
|
||||
}
|
||||
},
|
||||
"radius": 250
|
||||
}
|
||||
}
|
||||
}
|
||||
}),
|
||||
cartocss: cartocss('green', 1.0)
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
sql: "select * from analysis_rent_listings",
|
||||
cartocss: DEFAULT_MULTITYPE_STYLE,
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
}
|
||||
])
|
||||
},
|
||||
|
||||
{
|
||||
desc: 'buffer + point-in-polygon from buffer atm-machines and rent listings + rent listings',
|
||||
mapConfig: mapConfig([
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
sql: "select * from analysis_rent_listings",
|
||||
cartocss: DEFAULT_MULTITYPE_STYLE,
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'analysis',
|
||||
options: {
|
||||
def: analysisDef({
|
||||
"type": "buffer",
|
||||
"params": {
|
||||
"source": {
|
||||
"type": "source",
|
||||
"params": {
|
||||
"query": "select * from analysis_banks"
|
||||
}
|
||||
},
|
||||
"radius": 300
|
||||
}
|
||||
}),
|
||||
cartocss: cartocss('magenta', 0.5)
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'analysis',
|
||||
options: {
|
||||
def: analysisDef({
|
||||
"type": "point-in-polygon",
|
||||
"params": {
|
||||
"pointsSource": {
|
||||
"type": "source",
|
||||
"params": {
|
||||
"query": "select * from analysis_rent_listings"
|
||||
}
|
||||
},
|
||||
"polygonsSource": {
|
||||
"type": "buffer",
|
||||
"params": {
|
||||
"source": {
|
||||
"type": "source",
|
||||
"params": {
|
||||
"query": "select * from analysis_banks"
|
||||
}
|
||||
},
|
||||
"radius": 300
|
||||
}
|
||||
}
|
||||
}
|
||||
}),
|
||||
cartocss: cartocss('green', 1.0)
|
||||
}
|
||||
}
|
||||
])
|
||||
},
|
||||
|
||||
{
|
||||
skip: true,
|
||||
desc: 'buffer + point-in-polygon from buffer atm-machines and rent listings + rent listings',
|
||||
mapConfig: mapConfig([
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
"source": { id: "a" },
|
||||
"cartocss": DEFAULT_MULTITYPE_STYLE,
|
||||
"cartocss_version": "2.3.0"
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
"source": { id: "b1" },
|
||||
"cartocss": cartocss('green', 1.0),
|
||||
"cartocss_version": "2.3.0"
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
"source": { id: "b2" },
|
||||
"cartocss": cartocss('magenta', 0.5),
|
||||
"cartocss_version": "2.3.0"
|
||||
}
|
||||
}
|
||||
],
|
||||
[
|
||||
{
|
||||
id: "b2",
|
||||
options: {
|
||||
def: analysisDef({
|
||||
"type": "count-in-polygon",
|
||||
"id": "a0",
|
||||
"params": {
|
||||
"columnName": 'count_airbnb',
|
||||
"pointsSource": {
|
||||
"type": "source",
|
||||
"params": {
|
||||
query: "select * from analysis_rent_listings"
|
||||
},
|
||||
dataviews: {
|
||||
price_histogram: {
|
||||
type: 'histogram',
|
||||
options: {
|
||||
column: 'price'
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"polygonsSource": {
|
||||
"id": "b1",
|
||||
"type": "buffer",
|
||||
"params": {
|
||||
"source": {
|
||||
"id": "b0",
|
||||
"type": "source",
|
||||
"params": {
|
||||
query: "select * from analysis_banks"
|
||||
}
|
||||
},
|
||||
"radius": 250
|
||||
},
|
||||
dataviews: {
|
||||
bank_category: {
|
||||
type: 'aggregation',
|
||||
options: {
|
||||
column: 'bank'
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
dataviews: {
|
||||
count_histogram: {
|
||||
type: 'histogram',
|
||||
options: {
|
||||
column: 'count_airbnb'
|
||||
}
|
||||
}
|
||||
}
|
||||
}),
|
||||
cartocss: cartocss('green', 1.0)
|
||||
}
|
||||
}
|
||||
])
|
||||
},
|
||||
|
||||
{
|
||||
skip: true,
|
||||
desc: 'I. Distribution centers',
|
||||
mapConfig: mapConfig(
|
||||
// layers
|
||||
[
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
"source": { id: "b0" },
|
||||
"cartocss": [
|
||||
"#distribution_centers {",
|
||||
" marker-fill-opacity: 1.0;",
|
||||
" marker-line-color: #FFF;",
|
||||
" marker-line-width: 0.5;",
|
||||
" marker-line-opacity: 0.7;",
|
||||
" marker-placement: point;",
|
||||
" marker-type: ellipse;",
|
||||
" marker-width: 8;",
|
||||
" marker-fill: blue;",
|
||||
" marker-allow-overlap: true;",
|
||||
"}"
|
||||
].join('\n'),
|
||||
"cartocss_version": "2.3.0"
|
||||
source: {
|
||||
id: 'a1'
|
||||
},
|
||||
cartocss: DEFAULT_MULTITYPE_STYLE,
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
"source": { id: "a0" },
|
||||
"cartocss": [
|
||||
"#shops {",
|
||||
" marker-fill-opacity: 1.0;",
|
||||
" marker-line-color: #FFF;",
|
||||
" marker-line-width: 0.5;",
|
||||
" marker-line-opacity: 0.7;",
|
||||
" marker-placement: point;",
|
||||
" marker-type: ellipse;",
|
||||
" marker-width: 8;",
|
||||
" marker-fill: red;",
|
||||
" marker-allow-overlap: true;",
|
||||
"}"
|
||||
].join('\n'),
|
||||
"cartocss_version": "2.3.0"
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
"source": { id: "a1" },
|
||||
"cartocss": [
|
||||
"#routing {",
|
||||
" line-color: ramp([routing_time], colorbrewer(Reds));",
|
||||
" line-width: ramp([routing_time], 2, 8);",
|
||||
" line-opacity: 1.0;",
|
||||
"}"
|
||||
].join('\n'),
|
||||
"cartocss_version": "2.3.0"
|
||||
sql: 'select * from analysis_rent_listings',
|
||||
cartocss: DEFAULT_MULTITYPE_STYLE,
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
}
|
||||
],
|
||||
// dataviews
|
||||
{
|
||||
distribution_center_name_category: {
|
||||
source: { id: 'b0' },
|
||||
type: 'aggregation',
|
||||
options: {
|
||||
column: 'name'
|
||||
}
|
||||
},
|
||||
time_histogram: {
|
||||
source: { id: 'a1' },
|
||||
type: 'histogram',
|
||||
options: {
|
||||
column: 'routing_time'
|
||||
}
|
||||
},
|
||||
distance_histogram: {
|
||||
source: { id: 'a1' },
|
||||
type: 'histogram',
|
||||
options: {
|
||||
column: 'routing_distance'
|
||||
}
|
||||
}
|
||||
},
|
||||
// analysis
|
||||
{},
|
||||
[
|
||||
{
|
||||
id: 'a1',
|
||||
type: 'routing-n-to-n',
|
||||
params: {
|
||||
// distanceColumn: 'routing_distance',
|
||||
// timeColumn: 'routing_time',
|
||||
originSource: {
|
||||
id: 'b0',
|
||||
type: 'source',
|
||||
params: {
|
||||
query: 'select * from distribution_centers'
|
||||
}
|
||||
},
|
||||
destinationSource: {
|
||||
id: 'a0',
|
||||
type: 'source',
|
||||
params: {
|
||||
query: 'select * from shops'
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
pointInPolygonDef
|
||||
]
|
||||
)
|
||||
},
|
||||
|
||||
{
|
||||
skip: true,
|
||||
desc: 'II. Population analysis',
|
||||
desc: 'buffer + point-in-polygon from buffer atm-machines and rent listings + rent listings',
|
||||
mapConfig: mapConfig(
|
||||
// layers
|
||||
[
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
"source": { id: "a2" },
|
||||
"cartocss": [
|
||||
"#count_in_polygon {",
|
||||
" polygon-opacity: 1.0",
|
||||
" line-color: #FFF;",
|
||||
" line-width: 0.5;",
|
||||
" line-opacity: 0.7",
|
||||
" polygon-fill: ramp([estimated_people], colorbrewer(Reds));",
|
||||
"}"
|
||||
].join('\n'),
|
||||
"cartocss_version": "2.3.0"
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
"source": { id: "a0" },
|
||||
"cartocss": DEFAULT_MULTITYPE_STYLE,
|
||||
"cartocss_version": "2.3.0"
|
||||
}
|
||||
}
|
||||
],
|
||||
// dataviews
|
||||
{
|
||||
total_population_formula: {
|
||||
"source": { id: "a3" },
|
||||
type: 'formula',
|
||||
options: {
|
||||
column: 'total_population',
|
||||
operation: 'sum'
|
||||
}
|
||||
},
|
||||
people_histogram: { // this injects a range filter at `a2` node output
|
||||
"source": { id: "a2" },
|
||||
type: 'histogram',
|
||||
options: {
|
||||
column: 'estimated_people'
|
||||
}
|
||||
},
|
||||
subway_line_category: { // this injects a category filter at `a0` node output
|
||||
"source": { id: "a0" },
|
||||
type: 'aggregation',
|
||||
options: {
|
||||
column: 'subway_line'
|
||||
}
|
||||
}
|
||||
},
|
||||
// analysis
|
||||
[
|
||||
{
|
||||
id: 'a3',
|
||||
// this will union the polygons, produce just one polygon, and calculate the total population for it
|
||||
type: 'total-population',
|
||||
params: {
|
||||
columnName: 'total_population',
|
||||
source: {
|
||||
id: 'a2',
|
||||
type: 'estimated-population',
|
||||
params: {
|
||||
columnName: 'estimated_people',
|
||||
source: {
|
||||
id: 'a1',
|
||||
type: 'trade-area',
|
||||
params: {
|
||||
source: {
|
||||
"id": "a0",
|
||||
"type": "source",
|
||||
"params": {
|
||||
query: "select * from subway_stops"
|
||||
}
|
||||
},
|
||||
kind: 'walk',
|
||||
time: 300
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
])
|
||||
},
|
||||
|
||||
{
|
||||
skip: true,
|
||||
desc: 'III. Point in polygon',
|
||||
mapConfig: mapConfig(
|
||||
// layers
|
||||
[
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
"source": { id: "a1" },
|
||||
"cartocss": [
|
||||
"#count_in_polygon {",
|
||||
" polygon-opacity: 1.0",
|
||||
" line-color: #FFF;",
|
||||
" line-width: 0.5;",
|
||||
" line-opacity: 0.7",
|
||||
" polygon-fill: ramp([count_people], colorbrewer(Reds));",
|
||||
"}"
|
||||
].join('\n'),
|
||||
"cartocss_version": "2.3.0"
|
||||
sql: 'select * from analysis_rent_listings',
|
||||
cartocss: DEFAULT_MULTITYPE_STYLE,
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
source: {
|
||||
id: 'a1'
|
||||
},
|
||||
cartocss: DEFAULT_MULTITYPE_STYLE,
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'cartodb',
|
||||
options: {
|
||||
source: {
|
||||
id: 'b1'
|
||||
},
|
||||
cartocss: DEFAULT_MULTITYPE_STYLE,
|
||||
cartocss_version: '2.3.0'
|
||||
}
|
||||
}
|
||||
],
|
||||
// dataviews
|
||||
{
|
||||
age_histogram: {
|
||||
"source": { id: "a0" },
|
||||
type: 'histogram',
|
||||
options: {
|
||||
column: 'age'
|
||||
}
|
||||
},
|
||||
income_histogram: {
|
||||
"source": { id: "a0" },
|
||||
type: 'histogram',
|
||||
options: {
|
||||
column: 'income'
|
||||
}
|
||||
},
|
||||
gender_category: {
|
||||
"source": { id: "a0" },
|
||||
type: 'aggregation',
|
||||
options: {
|
||||
column: 'gender'
|
||||
}
|
||||
}
|
||||
},
|
||||
// analysis
|
||||
{},
|
||||
[
|
||||
{
|
||||
"id": "a1",
|
||||
"type": "count-in-polygon",
|
||||
"params": {
|
||||
"columnName": 'count_people',
|
||||
"pointsSource": {
|
||||
"id": 'a0',
|
||||
"type": "source",
|
||||
"params": {
|
||||
query: "select the_geom, age, gender, income from people"
|
||||
}
|
||||
},
|
||||
"polygonsSource": {
|
||||
"id": "b0",
|
||||
"type": "source",
|
||||
"params": {
|
||||
query: "select * from postal_codes"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
bufferDef,
|
||||
pointInPolygonDef
|
||||
]
|
||||
)
|
||||
}
|
||||
|
||||
];
|
||||
|
||||
useCases.forEach(function(useCase, imageIdx) {
|
||||
useCases.forEach(function (useCase) {
|
||||
if (!!useCase.skip) {
|
||||
debug(JSON.stringify(useCase.mapConfig, null, 4));
|
||||
return debug(JSON.stringify(useCase.mapConfig, null, 4));
|
||||
}
|
||||
it.skip('should implement use case: "' + useCase.desc + '"', function(done) {
|
||||
it(`should implement use case: '${useCase.desc}'`, function (done) {
|
||||
|
||||
var testClient = new TestClient(useCase.mapConfig, 1234);
|
||||
|
||||
var tile = useCase.tile || TILE_ANALYSIS_TABLES;
|
||||
|
||||
testClient.getTile(tile.z, tile.x, tile.y, function(err, res, image) {
|
||||
testClient.getTile(tile.z, tile.x, tile.y, function (err, res, image) {
|
||||
assert.ok(!err, err);
|
||||
|
||||
image.save('/tmp/tests/' + imageIdx + '---' + useCase.desc.replace(/\s/g, '-') + '.png');
|
||||
//image.save('/tmp/tests/' + imageIdx + '---' + useCase.desc.replace(/\s/g, '-') + '.png');
|
||||
|
||||
assert.equal(image.width(), 256);
|
||||
|
||||
|
||||
@@ -332,6 +332,21 @@ describe('histogram-dataview for date column type', function() {
|
||||
});
|
||||
});
|
||||
|
||||
it('should cast overridden start and end to float to avoid out of range errors ' + test.desc, function (done) {
|
||||
var params = {
|
||||
start: -2145916800,
|
||||
end: 1009843199
|
||||
};
|
||||
|
||||
this.testClient = new TestClient(mapConfig, 1234);
|
||||
this.testClient.getDataview(test.dataviewId, params, function (err, dataview) {
|
||||
assert.ok(!err, err);
|
||||
assert.equal(dataview.type, 'histogram');
|
||||
assert.ok(dataview.bin_width > 0, 'Unexpected bin width: ' + dataview.bin_width);
|
||||
|
||||
done();
|
||||
});
|
||||
});
|
||||
|
||||
it('should return same histogram ' + test.desc, function (done) {
|
||||
var params = {
|
||||
|
||||
@@ -192,12 +192,36 @@ describe('named maps static view', function() {
|
||||
}
|
||||
getStaticMap({ zoom: 3 }, function(err, img) {
|
||||
assert.ok(!err);
|
||||
img.save('/tmp/static.png');
|
||||
assert.imageIsSimilarToFile(img, previewFixture('override-zoom'), IMAGE_TOLERANCE, done);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
it('should return override bbox', function (done) {
|
||||
var view = {
|
||||
bounds: {
|
||||
west: 0,
|
||||
south: 0,
|
||||
east: 45,
|
||||
north: 45
|
||||
},
|
||||
zoom: 4,
|
||||
center: {
|
||||
lng: 40,
|
||||
lat: 20
|
||||
}
|
||||
};
|
||||
templateMaps.addTemplate(username, createTemplate(view), function (err) {
|
||||
if (err) {
|
||||
return done(err);
|
||||
}
|
||||
getStaticMap({ bbox: '0,45,90,45' }, function(err, img) {
|
||||
assert.ok(!err);
|
||||
assert.imageIsSimilarToFile(img, previewFixture('override-bbox'), IMAGE_TOLERANCE, done);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
it('should allow to select the layers to render', function (done) {
|
||||
var view = {
|
||||
bounds: {
|
||||
|
||||
@@ -1,51 +0,0 @@
|
||||
require('../../support/test_helper');
|
||||
|
||||
var assert = require('../../support/assert');
|
||||
var TestClient = require('../../support/test-client');
|
||||
|
||||
describe('list widgets', function() {
|
||||
|
||||
it("should expose layer list", function(done) {
|
||||
|
||||
var listWidgetMapConfig = {
|
||||
version: '1.5.0',
|
||||
layers: [
|
||||
{
|
||||
type: 'mapnik',
|
||||
options: {
|
||||
sql: 'select * from test_table',
|
||||
cartocss: '#layer { marker-fill: red; marker-width: 32; marker-allow-overlap: true; }',
|
||||
cartocss_version: '2.3.0',
|
||||
widgets: {
|
||||
names: {
|
||||
type: 'list',
|
||||
options: {
|
||||
columns: ['name']
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
};
|
||||
|
||||
var testClient = new TestClient(listWidgetMapConfig);
|
||||
|
||||
testClient.getWidget('names', function(err, res) {
|
||||
if (err) {
|
||||
return done(err);
|
||||
}
|
||||
|
||||
var expectedList = [
|
||||
{name:"Hawai"},
|
||||
{name:"El Estocolmo"},
|
||||
{name:"El Rey del Tallarín"},
|
||||
{name:"El Lacón"},
|
||||
{name:"El Pico"}
|
||||
];
|
||||
assert.deepEqual(JSON.parse(res.body).rows, expectedList);
|
||||
|
||||
testClient.drain(done);
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -1,106 +0,0 @@
|
||||
require('../../../support/test_helper');
|
||||
|
||||
var assert = require('../../../support/assert');
|
||||
var TestClient = require('../../../support/test-client');
|
||||
var _ = require('underscore');
|
||||
|
||||
describe('widgets', function() {
|
||||
|
||||
describe('lists', function() {
|
||||
|
||||
afterEach(function(done) {
|
||||
if (this.testClient) {
|
||||
this.testClient.drain(done);
|
||||
} else {
|
||||
done();
|
||||
}
|
||||
});
|
||||
|
||||
function listsMapConfig(columns) {
|
||||
return {
|
||||
version: '1.5.0',
|
||||
layers: [
|
||||
{
|
||||
type: 'mapnik',
|
||||
options: {
|
||||
sql: 'select * from test_table',
|
||||
cartocss: '#layer0 { marker-fill: red; marker-width: 10; }',
|
||||
cartocss_version: '2.0.1',
|
||||
widgets: {
|
||||
places: {
|
||||
type: 'list',
|
||||
options: {
|
||||
columns: columns || ['name', 'address']
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
};
|
||||
}
|
||||
|
||||
var EXPECTED_NAMES = ['Hawai', 'El Estocolmo', 'El Rey del Tallarín', 'El Lacón', 'El Pico'];
|
||||
|
||||
it('can be fetched from a valid list', function(done) {
|
||||
var columns = ['name', 'address'];
|
||||
this.testClient = new TestClient(listsMapConfig(columns));
|
||||
this.testClient.getWidget('places', function (err, res, list) {
|
||||
assert.ok(!err, err);
|
||||
assert.ok(list);
|
||||
assert.equal(list.type, 'list');
|
||||
assert.equal(list.rows.length, 5);
|
||||
|
||||
assert.ok(onlyHasFields(list, columns));
|
||||
|
||||
var names = list.rows.map(function (item) {
|
||||
return item.name;
|
||||
});
|
||||
assert.deepEqual(names, EXPECTED_NAMES);
|
||||
|
||||
var expectedAddresses = [
|
||||
'Calle de Pérez Galdós 9, Madrid, Spain',
|
||||
'Calle de la Palma 72, Madrid, Spain',
|
||||
'Plaza Conde de Toreno 2, Madrid, Spain',
|
||||
'Manuel Fernández y González 8, Madrid, Spain',
|
||||
'Calle Divino Pastor 12, Madrid, Spain'
|
||||
];
|
||||
var addresses = list.rows.map(function (item) {
|
||||
return item.address;
|
||||
});
|
||||
assert.deepEqual(addresses, expectedAddresses);
|
||||
|
||||
done();
|
||||
});
|
||||
});
|
||||
|
||||
it('should fetch just one column', function(done) {
|
||||
var columns = ['name'];
|
||||
this.testClient = new TestClient(listsMapConfig(columns));
|
||||
this.testClient.getWidget('places', function (err, res, list) {
|
||||
assert.ok(!err, err);
|
||||
assert.ok(list);
|
||||
assert.equal(list.type, 'list');
|
||||
assert.equal(list.rows.length, 5);
|
||||
|
||||
assert.ok(onlyHasFields(list, columns));
|
||||
|
||||
var names = list.rows.map(function (item) {
|
||||
return item.name;
|
||||
});
|
||||
assert.deepEqual(names, EXPECTED_NAMES);
|
||||
|
||||
done();
|
||||
});
|
||||
});
|
||||
|
||||
function onlyHasFields(list, expectedFields) {
|
||||
var fields = (!!list.rows[0]) ? Object.keys(list.rows[0]) : [];
|
||||
|
||||
return _.difference(fields, expectedFields).length === 0 &&
|
||||
_.difference(expectedFields, fields).length === 0;
|
||||
}
|
||||
|
||||
});
|
||||
|
||||
});
|
||||
BIN
test/fixtures/previews/populated_places_simple_reduced-override-bbox.png
vendored
Normal file
BIN
test/fixtures/previews/populated_places_simple_reduced-override-bbox.png
vendored
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 94 KiB |
36
test/unit/cartodb/lzmaMiddleware.test.js
Normal file
36
test/unit/cartodb/lzmaMiddleware.test.js
Normal file
@@ -0,0 +1,36 @@
|
||||
var assert = require('assert');
|
||||
var testHelper = require('../../support/test_helper');
|
||||
|
||||
var lzmaMiddleware = require('../../../lib/cartodb/middleware/lzma');
|
||||
|
||||
describe('lzma-middleware', function() {
|
||||
|
||||
it('it should extend params with decoded lzma', function(done) {
|
||||
var qo = {
|
||||
config: {
|
||||
version: '1.3.0'
|
||||
}
|
||||
};
|
||||
testHelper.lzma_compress_to_base64(JSON.stringify(qo), 1, function(err, data) {
|
||||
var req = {
|
||||
headers: {
|
||||
host:'localhost'
|
||||
},
|
||||
query: {
|
||||
api_key: 'test',
|
||||
lzma: data
|
||||
}
|
||||
};
|
||||
lzmaMiddleware(req, {}, function(err) {
|
||||
if ( err ) {
|
||||
return done(err);
|
||||
}
|
||||
var query = req.query;
|
||||
assert.deepEqual(qo.config, query.config);
|
||||
assert.equal('test', query.api_key);
|
||||
done();
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
});
|
||||
@@ -143,79 +143,6 @@ describe('dataviews-widgets-adapter', function() {
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"input": {
|
||||
"version": "1.4.0",
|
||||
"layers": [
|
||||
{
|
||||
"type": "mapnik",
|
||||
"options": {
|
||||
"sql": "select * from test_table",
|
||||
"cartocss": "#layer { marker-fill: red; marker-width: 32; marker-allow-overlap: true; }",
|
||||
"cartocss_version": "2.3.0",
|
||||
"widgets": {
|
||||
"names": {
|
||||
"type": "list",
|
||||
"options": {
|
||||
"columns": [
|
||||
"name"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"expected": {
|
||||
"version": "1.4.0",
|
||||
"layers": [
|
||||
{
|
||||
"type": "mapnik",
|
||||
"options": {
|
||||
"source": {
|
||||
"id": "cdb-layer-source-0"
|
||||
},
|
||||
"cartocss": "#layer { marker-fill: red; marker-width: 32; marker-allow-overlap: true; }",
|
||||
"cartocss_version": "2.3.0",
|
||||
// keep them for now
|
||||
"widgets": {
|
||||
"names": {
|
||||
"type": "list",
|
||||
"options": {
|
||||
"columns": [
|
||||
"name"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"analyses": [
|
||||
{
|
||||
"id": "cdb-layer-source-0",
|
||||
"type": "source",
|
||||
"params": {
|
||||
"query": "select * from test_table"
|
||||
}
|
||||
}
|
||||
],
|
||||
"dataviews": {
|
||||
"names": {
|
||||
"source": {
|
||||
"id": "cdb-layer-source-0"
|
||||
},
|
||||
"type": "list",
|
||||
"options": {
|
||||
"columns": [
|
||||
"name"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"input": {
|
||||
"version": "1.4.0",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
var assert = require('assert');
|
||||
var _ = require('underscore');
|
||||
var test_helper = require('../../support/test_helper');
|
||||
require('../../support/test_helper');
|
||||
|
||||
var RedisPool = require('redis-mpool');
|
||||
var cartodbRedis = require('cartodb-redis');
|
||||
@@ -98,34 +98,31 @@ describe('req2params', function() {
|
||||
});
|
||||
});
|
||||
|
||||
it('it should extend params with decoded lzma', function(done) {
|
||||
var qo = {
|
||||
config: {
|
||||
version: '1.3.0'
|
||||
it('it should remove invalid params', function(done) {
|
||||
var config = {
|
||||
version: '1.3.0'
|
||||
};
|
||||
var req = {
|
||||
headers: {
|
||||
host:'localhost'
|
||||
},
|
||||
query: {
|
||||
non_included: 'toberemoved',
|
||||
api_key: 'test',
|
||||
style: 'override',
|
||||
config: config
|
||||
}
|
||||
};
|
||||
test_helper.lzma_compress_to_base64(JSON.stringify(qo), 1, function(err, data) {
|
||||
var req = {
|
||||
headers: {
|
||||
host:'localhost'
|
||||
},
|
||||
query: {
|
||||
non_included: 'toberemoved',
|
||||
api_key: 'test',
|
||||
style: 'override',
|
||||
lzma: data
|
||||
}
|
||||
};
|
||||
baseController.req2params(prepareRequest(req), function(err, req) {
|
||||
if ( err ) {
|
||||
return done(err);
|
||||
}
|
||||
var query = req.params;
|
||||
assert.deepEqual(qo.config, query.config);
|
||||
assert.equal('test', query.api_key);
|
||||
assert.equal(undefined, query.non_included);
|
||||
done();
|
||||
});
|
||||
baseController.req2params(prepareRequest(req), function(err, req) {
|
||||
if (err) {
|
||||
return done(err);
|
||||
}
|
||||
var query = req.params;
|
||||
assert.deepEqual(config, query.config);
|
||||
assert.equal('test', query.api_key);
|
||||
assert.equal(undefined, query.non_included);
|
||||
assert.equal(undefined, query.style);
|
||||
done();
|
||||
});
|
||||
});
|
||||
|
||||
|
||||
Reference in New Issue
Block a user