featureserver
Version:
*An open source implementation of the GeoServices specification*
124 lines (103 loc) • 4.05 kB
JavaScript
const Winnow = require('winnow')
const { getGeometryTypeFromGeojson } = require('../helpers')
const validateClassificationDefinition = require('./validate-classification-definition')
const { createColorRamp } = require('./color-ramp')
const { createSymbol } = require('./create-symbol')
module.exports = generateRenderer
function generateRenderer (data = {}, options = {}) {
const { statistics = {}, features } = data
const geometryType = getGeometryTypeFromGeojson(data)
const { classificationDef = {} } = options
if (statistics.classBreaks) {
return generateRendererFromPrecalculatedStatistics(statistics, { classificationDef, geometryType })
}
if (features) {
return generateRendererFromFeatures(data, { ...options, geometryType })
}
return {}
}
function generateRendererFromPrecalculatedStatistics (statistics, options) {
const { classificationDef, geometryType = 'esriGeometryPoint' } = options
const { colorRamp: colorRampConfig = {}, baseSymbol } = classificationDef
const classification = statistics.classBreaks.sort((a, b) => a[0] - b[0])
validateClassificationDefinition(classificationDef, geometryType, classification)
const colorRamp = createColorRamp({ classification, ...colorRampConfig })
const symbolCollection = colorRamp.map((color) => {
return createSymbol(baseSymbol, color, geometryType)
})
return renderClassBreaks(classification, classificationDef, symbolCollection)
}
function generateRendererFromFeatures (data, params) {
const { classificationDef, geometryType } = params
// TODO: this seems weird; the winnow method is "query" but it's really a very specialized transform (aggregation)
// consider changes to winnow - this should maybe be a different method
const classification = Winnow.query(data, params)
validateClassificationDefinition(classificationDef, geometryType, classification)
const { colorRamp: colorRampConfig = {}, baseSymbol } = classificationDef
const colorRamp = createColorRamp({ classification, ...colorRampConfig })
const symbolCollection = colorRamp.map((color) => {
return createSymbol(baseSymbol, color, geometryType)
})
if (classificationDef.type === 'classBreaksDef') {
return renderClassBreaks(classification, classificationDef, symbolCollection)
}
// if not 'classBreaksDef', then its unique-values
return renderUniqueValue(classification, classificationDef, symbolCollection)
}
function renderClassBreaks (breaks, classificationDef, symbolCollection) {
return {
type: 'classBreaks',
field: classificationDef.classificationField || '',
classificationMethod: classificationDef.classificationMethod || '',
minValue: breaks[0][0],
classBreakInfos: createClassBreakInfos(breaks, symbolCollection)
}
}
function createClassBreakInfos (breaks, symbolCollection) {
return breaks.map((classBreak, index) => {
return {
classMinValue: classBreak[0],
classMaxValue: classBreak[1],
label: `${classBreak[0]}-${classBreak[1]}`,
description: '',
symbol: symbolCollection[index]
}
})
}
function renderUniqueValue (classification, classificationDef, symbolCollection) {
const { uniqueValueFields, fieldDelimiter } = classificationDef
return {
type: 'uniqueValue',
field1: uniqueValueFields[0],
field2: '',
field3: '',
fieldDelimiter,
defaultSymbol: {},
defaultLabel: '',
uniqueValueInfos: createUniqueValueInfos(
classification,
fieldDelimiter,
symbolCollection
)
}
}
function createUniqueValueInfos (
uniqueValueEntries,
fieldDelimiter,
symbolCollection
) {
return uniqueValueEntries.map((uniqueValue, index) => {
const value = serializeUniqueValues(uniqueValue, fieldDelimiter)
return {
value,
count: uniqueValue.count,
label: value,
description: '',
symbol: symbolCollection[index]
}
})
}
function serializeUniqueValues (uniqueValue, delimiter) {
const { count, ...rest } = uniqueValue
return Object.values(rest).join(delimiter)
}