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attributes-ui-cramped.mjs
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attributes-ui-cramped.mjs
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import { loadModules, setDefaultOptions } from 'https://unpkg.com/esri-loader/dist/esm/esri-loader.js';
(async () => {
setDefaultOptions({
css: true,
// url: 'http://localhost:8000/buildOutput/init.js',
// url: 'https://jscore.esri.com/debug/4.16/dojo/dojo.js',
// version: 'next',
});
const [
Map,
MapView,
FeatureLayer,
generateHistogram,
HistogramRangeSlider,
Histogram,
uniqueValues,
Legend,
Renderer,
colorRamps,
Color,
] = await loadModules([
"esri/Map",
"esri/views/MapView",
"esri/layers/FeatureLayer",
"esri/renderers/smartMapping/statistics/histogram",
"esri/widgets/HistogramRangeSlider",
"esri/widgets/Histogram",
"esri/renderers/smartMapping/statistics/uniqueValues",
"esri/widgets/Legend",
"esri/renderers/Renderer",
"esri/renderers/smartMapping/symbology/support/colorRamps",
"esri/renderers/smartMapping/symbology/color",
]);
// data urls
var datasets = {
'Citclops Water': "8581a7460e144ae09ad25d47f8e82af8_0",
'Tucson Demographics': "35fda63efad14a7b8c2a0a68d77020b7_0",
'Seattle Bike Facilities': "f4f509fa13504fb7957cef168fad74f0_1",
'Traffic Circles': "717b10434d4945658355eba78b66971a_6",
'Black Cat Range': "28b0a8a0727d4cc5a2b9703cf6ca4425_0",
'King County Photos': "383878300c4c4f8c940272ba5bfcce34_1036",
'NYC bags': "7264acdf886941199f7c01648ba04e6b_0",
}
let widgetsDiv = document.getElementById('widgetsDiv');
let filterResults = document.getElementById('filterResults');
// dataset switcher
var datasetList = document.getElementById('datasetList');
// populate dropdown with all attributes
for (let [key, value] of Object.entries(datasets)) {
// create new option element and add it to the dropdown
var opt = document.createElement('option');
opt.text = key;
opt.value = value;
datasetList.appendChild(opt);
}
datasetList.addEventListener('change', async event => {
({ layer, dataset } = await loadDataset({ datasetId: event.target.value, env: 'prod' }));
});
// track widgets and state
var timeSlider = null;
var dataset = null;
var layer = null;
var view = null;
var layerView = null;
var widgets = [];
// var zoomToDataCheckbox;
var attributeList;
// URL params
const params = new URLSearchParams(window.location.search);
var env = 'prod';
if (Array.from(params).length != 0) {
var datasetId = params.get('dataset');
const datasetSlug = params.get('slug');
({ layer, dataset } = await loadDataset({ datasetId: datasetId, datasetSlug: datasetSlug, env: env }));
env = params.get('env');
} else {
var datasetId = datasetList.options[datasetList.selectedIndex].value;
({ layer, dataset } = await loadDataset({ datasetId: datasetId, env: env }));
}
async function switchSelected (event, fieldName = null) {
fieldName = fieldName ? fieldName : event.currentTarget.dataset.field;
const field = getDatasetField(dataset, fieldName);
// guess at a style for this field
try {
// initialize a new layer
layer = new FeatureLayer({
renderer: {type: 'simple'},
url: dataset.attributes.url
});
switchStyles(null, layer, fieldName);
} catch(e) {
console.log('e:', e)
}
}
async function addFilter(event = null, fieldName = null, fieldStats = null) {
let target = event ? event.currentTarget : document.getElementById(fieldName);
fieldName = fieldName ? fieldName : target.dataset.field;
const field = getDatasetField(dataset, fieldName);
let firstFilter = document.getElementById('firstfilter');
firstFilter ? firstFilter.remove() : null;
let filter = document.createElement('div');
filter.classList.add('filterDiv');
fieldStats = fieldStats ? fieldStats : field.statistics;
filter.innerHTML = generateLabel(field, fieldStats);
// actions
let icons = document.createElement('span');
icons.innerHTML = " 🅧 ";
icons.onclick = removeFilter;
icons.classList.add('filterIcons');
let tooltip = document.createElement('span');
tooltip.classList.add('tooltip')
tooltip.innerText = "Delete filter";
filter.appendChild(icons);
icons.appendChild(tooltip)
let filtersList = document.getElementById('filtersList');
filtersList.appendChild(filter);
document.getElementById('filtersCount').innerHTML = `Applying ${filtersList.children.length} filters`;
let container = document.createElement('div');
filter.appendChild(container);
if (!view) {
view = await drawMap(layer, dataset)
}
layerView = await view.whenLayerView(layer);
// Numeric fields - histogram
if (field.simpleType === 'numeric' || field.simpleType === 'date') {
var widget = await makeHistogramWidget({ dataset, fieldName, layer, layerView, container, slider: true });
container.classList.add('histogramWidget');
// set whereClause attribute
if (field.simpleType === 'numeric') {
var whereClause = widget.generateWhereClause(fieldName);
}
if (field.simpleType === 'date') {
// console.log()
// instead of unix timestamps, use SQL date formatting, as expected by layer.queryFeatures()
var whereClause = `${fieldName} BETWEEN DATE ${formatSQLDate(value.start)} AND DATE ${formatSQLDate(value.end)}`;
}
widget.container.setAttribute('whereClause', whereClause);
}
// if (field.simpleType === 'date') {
// // Time slider
// widget = await makeTimeSliderWidget({ dataset, fieldName, layer, layerView, slider: true });
// }
if (field.simpleType === 'string') {
// value list
widget = await makeStringWidget({ dataset, fieldName, layer, layerView, container, slider: true });
}
filtersList.scrollTop = filtersList.scrollHeight;
widget.container.setAttribute('fieldName', fieldName);
}
// create a histogram
async function makeHistogram ({dataset, fieldName, layer, layerView, container, slider = false, where = null }) {
// wrap in another container to handle height without fighting w/JSAPI and rest of sidebar
const parentContainer = container;
let newcontainer = document.createElement('div');
parentContainer.appendChild(newcontainer);
try {
let params = {
layer: layer,
field: fieldName,
numBins: 30,
};
if (where) params.where = where;
let values, bins, source, coverage;
try {
values = await generateHistogram(params);
source = 'widgets';
coverage = 1;
} catch(e) {
try {
// histogram generation failed with automated server call, try using features from server query
console.log('histogram generation failed with automated server call, try using features from server query', e);
params.features = (await layer.queryFeatures()).features;
const featureCount = await layer.queryFeatureCount();
if (params.features.length != featureCount) throw new Error('params.features.length != featureCount');
values = await generateHistogram(params);
source = 'layerQuery';
coverage = params.features.length / featureCount;
} catch(e) {
// histogram generation failed with automated server call, try using features from server query
console.log('histogram generation failed with automated server call, try reconstructing from unique values', e);
try {
let uniqueValues = (await getDatasetFieldUniqueValues(dataset, fieldName, layer)).values;
let domain = [Math.min(...uniqueValues.map(a => a.value)),
Math.max(...uniqueValues.map(a => a.value))]
// remove nulls
var filtered = uniqueValues.filter(a => a.value != null);
// manually reconstruct a feature values array from the unique values and their counts -
// normalize array length to 1000, as precision isn't as important as speed here
const divisor = dataset.attributes.recordCount / 1000;
let arr = [];
for (let x = 0; x < filtered.length; x++) {
for (let y = 0; y < Math.ceil(filtered[x].count/divisor); y++) {
arr.push(filtered[x].value);
};
}
// use d3 to bin histograms
let d3bins = d3.histogram() // create layout object
.domain([Math.min(...filtered.map(a => a.value)),
Math.max(...filtered.map(a => a.value))]) // to cover range
.thresholds(29) // separated into 30 bins
(arr); // pass the array
// convert the d3 bins array to a bins object
bins = [];
for (let x = 0; x < d3bins.length; x++) {
bins.push({
minValue: d3bins[x]['x0'],
maxValue: d3bins[x]['x1'],
count: d3bins[x].length,
});
}
// put the bins in the params object
values = {
'bins': bins,
'minValue': Math.min(...filtered.map(a => a.value)),
'maxValue': Math.max(...filtered.map(a => a.value)),
}
const featureCount = arr.length;
source = 'layerQuery';
coverage = 1;
} catch(e) {
// histogram generation failed with unique values, try using features in layer view
console.log('histogram generation failed with unique values, try using features in layer view', e);
params.features = (await layerView.queryFeatures()).features;
const featureCount = await layer.queryFeatureCount();
values = await generateHistogram(params);
source = 'layerView';
coverage = params.features.length / featureCount;
}
}
}
// Determine if field is an integer
const field = getDatasetField(dataset, fieldName);
const integer = await datasetFieldIsInteger(field);
const widget =
slider ?
// Histogram range slider widget
new HistogramRangeSlider({
bins: values.bins,
min: values.minValue,
max: values.maxValue,
values: [values.minValue, values.maxValue],
precision: integer ? 0 : 2,
container: container,
excludedBarColor: "#dddddd",
rangeType: "between",
labelFormatFunction: (value, type) => {
// apply date formatting to histogram
if (field.simpleType == 'date') {
return formatDate(value);
}
return value;
}
})
:
// plain histogram, for miniHistogram nested in timeSlider
new Histogram({
bins: values.bins,
min: values.minValue,
max: values.maxValue,
container: container,
rangeType: "between",
})
;
return { widget, values, source, coverage };
}
catch(e) {
console.log('histogram generation failed', e);
return {};
}
}
// make and place a histogram
async function makeHistogramWidget({ dataset, fieldName, layer, layerView, container = null, slider = true }) {
const wrapper = document.createElement('div');
wrapper.classList.add('histogramWidget');
container = container ? container : document.getElementById('filters');
container.appendChild(wrapper);
const histogram = await makeHistogram({ dataset, fieldName, layer, layerView, container: wrapper, slider: true });
if (histogram.widget) {
wrapper.widget = histogram.widget;
// set event handler to update map filter and histograms when handles are dragged
histogram.widget.on(["thumb-change", "thumb-drag", "segment-drag"], event => {
updateLayerView(layerView, fieldName, histogram.widget);
updateWidgets(layerView, fieldName, histogram.widget)
});
// register widget
widgets.push(histogram.widget)
}
return histogram.widget;
}
// make and place a value list of checkboxes
async function makeStringWidget({ dataset, fieldName, layer, container = null, slider = true }) {
// const listContainer = document.createElement('div');
// const listContainer = document.createElement('div');
container.classList.add('valueListWidget');
const field = getDatasetField(dataset, fieldName);
// Build filter/where clause and update layer
const onCheckboxChange = ({ checkboxes, layerView }) => {
let checked = checkboxes.filter(c => c.checked).map(c => JSON.parse(c.value));
let where = '1=1';
if (checked.length > 0) {
const hasNull = checked.find(c => c.value == null) ? true : false;
checked = checked.filter(c => c.value != null);
let whereVals;
if (field.simpleType === 'date') {
whereVals = checked.map(c => +new Date(c.value));
where = whereVals.map(v => `${fieldName} = ${v}`).join(' OR ');
} else {
whereVals = checked.map(c => {
if (typeof c.value === 'string') {
return `'${c.value}'`
} else {
return c.value;
}
});
where = `${fieldName} IN (${whereVals.join(', ')})`;
}
if (hasNull) {
where = whereVals ? `${where} OR ` : '';
where = `${fieldName} IS NULL`; // need special SQL handling for null vales
}
}
updateLayerViewEffect({ where, updateExtent: zoomToDataCheckbox.checked });
};
const { fieldStats } = await createValueList({ dataset, fieldName, layer, container, onUpdateValues: onCheckboxChange });
fieldStats.container = container;
// register widget
widgets.push(fieldStats)
return fieldStats;
}
async function createValueList ({ dataset, fieldName, layer, container, onUpdateValues }) {
// <label>
// <calcite-checkbox checked="true"></calcite-checkbox> Switch is on
// </label>
container.classList.add('filter');
const list = document.createElement('div');
const header = document.createElement('div');
// header.innerText = 'Values';
header.classList.add('sidebarItemHeader');
list.appendChild(header);
const checkboxList = document.createElement('div');
list.appendChild(checkboxList);
const field = getDatasetField(dataset, fieldName);
const stats = await getDatasetFieldUniqueValues(dataset, fieldName, layer);
// if (!stats.topValues || stats.topValues.length === 0) {
// return {};
// }
let checkboxListenerDisabled = false;
function addValueListCheckbox (value, checkboxes) {
const checkbox = document.createElement('calcite-checkbox');
checkbox.value = JSON.stringify(value);
// const labelText = document.createTextNode(`${value.value} (${(value.pct * 100).toFixed(2)}% of records)`);
const labelText = document.createElement('span');
// handle null-ish, date, and other field formatting
if (value.value == null || (typeof value.value === 'string' && value.value.trim() === '')) {
labelText.innerHTML = '<span style="color: gray">No value</span>';
} else if (field.simpleType === 'date') {
labelText.innerHTML = formatDate(value.value);
} else {
labelText.innerHTML = value.value;
}
const labelSubText = document.createElement('span');
labelSubText.classList.add('subText');
labelSubText.innerText = value.pct != null ? `${(value.pct * 100).toFixed(2)}%` : '';
const onlyLink = document.createElement('a');
onlyLink.classList.add('valueListSideLink');
onlyLink.href = '#';
onlyLink.innerText = 'only';
const label = document.createElement('label');
label.classList.add('valueListCheckbox');
label.appendChild(checkbox);
label.appendChild(labelText);
label.appendChild(labelSubText);
label.appendChild(onlyLink);
checkbox.addEventListener('calciteCheckboxChange', (event) => {
if (!checkboxListenerDisabled) {
onUpdateValues({ checkboxes, event });
}
});
onlyLink.addEventListener('click', event => {
// disable change listener to keep it from firing as all checkboxes are updated
checkboxListenerDisabled = true;
// check selected box and un-check all others
checkboxes.forEach(c => {
c.checked = c === checkbox ? true : false;
});
// re-enable listener and invoke update handler just once
checkboxListenerDisabled = false;
onUpdateValues({ checkboxes, event });
});
checkboxList.appendChild(label);
return checkbox;
}
// clear all link
const clearLink = document.createElement('a');
clearLink.classList.add('valueListSideLink');
clearLink.href = '#';
clearLink.innerText = 'clear';
header.appendChild(clearLink);
clearLink.addEventListener('click', event => {
// disable change listener to keep it from firing as all checkboxes are updated
checkboxListenerDisabled = true;
// un-check all checkboxes
checkboxes.forEach(c => c.checked = false);
// re-enable listener and invoke update handler just once
checkboxListenerDisabled = false;
onUpdateValues({ checkboxes, event });
});
const checkboxes = [];
checkboxes.push(...stats.topValues.map(value => addValueListCheckbox(value, checkboxes)));
container.appendChild(list);
// search box
if (stats.uniqueCount > stats.topValues.length) {
const searchBox = document.createElement('input');
searchBox.classList.add('valueListSearchBox');
searchBox.type = 'text';
searchBox.placeholder = `Search ${stats.uniqueCount} ${fieldName} values...`;
const wrapper = document.createElement('div');
wrapper.classList.add('valueListSearchBoxWrapper');
list.appendChild(searchBox);
function searchSource(params) {
return async function doSearch(query, callback) {
const where = field.simpleType === 'date' ?
`CAST(${fieldName} AS VARCHAR(256)) LIKE lower('%${query}%')` : // convert dates to strings
`lower(${fieldName}) LIKE lower('%${query}%')`
const { features } = await layer.queryFeatures({
// where: `lower(${fieldName}) LIKE lower('%${query}%')`,
// where: `CAST(${fieldName} AS VARCHAR(256)) LIKE lower('%${query}%')`,
where,
orderByFields: [fieldName],
outFields: [fieldName],
returnDistinctValues: true,
num: 10
});
// de-dupe results (by turning into set)
const vals = new Set(features
.map(f => f.attributes[fieldName])
.map(v => typeof v === 'string' ? v.trim() : v)
.filter(value => {
// exclude any results already selected in checkboxes
return !checkboxes
.filter(c => c.checked)
.map(c => JSON.parse(c.value))
.map(v => v.value)
.includes(value);
})
);
// return values
callback([...vals].map(value => ({
value,
label: field.simpleType === 'date' ? formatDate(value) : value
})));
};
}
autocomplete(searchBox, { hint: false, clearOnSelected: false, }, [{
source: searchSource({ hitsPerPage: 5 }),
displayKey: 'label',
templates: {
suggestion: function(suggestion) {
return suggestion.label;
}
}
}]).on('autocomplete:selected', function(event, suggestion, dataset, context) {
let checkbox = checkboxes
.filter(c => !c.checked)
.find(c => JSON.parse(c.value).value === suggestion.value);
if (!checkbox) {
checkbox = addValueListCheckbox(suggestion, checkboxes);
checkboxes.push(checkbox);
}
checkbox.checked = true;
// TODO: why is this necessary? calcite event listener doesn't fire when checkbox added and set to checked in this flow
onUpdateValues({ checkboxes });
});
}
return { checkboxes, fieldStats: stats };
}
// update layerview filter based on widget, throttled
const updateLayerView = _.throttle(
async (layerView, fieldName, widget, value = null) => {
let whereClause;
if (widget.label === "Histogram Range Slider") {
whereClause = widget.generateWhereClause(fieldName);
}
if (widget.label === "TimeSlider") {
// instead of unix timestamps, use SQL date formatting, as expected by layer.queryFeatures()
whereClause = `${fieldName} BETWEEN DATE ${formatSQLDate(value.start)} AND DATE ${formatSQLDate(value.end)}`;
}
// set whereClause attribute
widget.container.setAttribute('whereClause', whereClause);
const where = concatWheres();
await updateLayerViewEffect({where: where, updateExtent: false });
},
100,
{trailing: false}
);
// update the bins of all histograms except the current widget, throttled
const updateWidgets = _.throttle(
async (layerView, fieldName, currentWidget) => {
let widgets = Array.from(listWidgetElements());
// if there's only one widget, skip this
if (widgets.length === 1) return
// collect other widgets' fieldNames, skipping the current widget (handles nested widgets too)
let otherWidgets = widgets.filter(w => w.getAttribute('fieldname') != fieldName);
let fieldNames = otherWidgets.map(w => w.getAttribute('fieldname'));
// convert to a set to remove any duplicates (nested widgets), then back to array
fieldNames = [...new Set(fieldNames)];
const whereClause = currentWidget.container.getAttribute('whereClause');
try {
// query layer for all features in the other layers, filtered by the state of current layer
console.log(whereClause);
// console.log(concatWheres());
let { features } = await layer.queryFeatures( { where: whereClause, outFields: fieldNames });
// update other widgets, passing in the filtered feature set
throttledUpdateOthers(otherWidgets, layerView, concatWheres(), features);
} catch(e) {
throw new Error('Tried to update other widgets: '+e)
}
},
100,
{trailing: false}
);
// update the bins of a histogram
async function updateHistogram(widget, layerView, fieldName, where, features) {
let values;
if (features) {
let params = {
layer,
features,
field: fieldName,
numBins: 30,
// minValue: widget.min,
// maxValue: widget.max,
// values: [widget.values[0], widget.values[1]]
// values: [widget.min, widget.max]
// sqlWhere: concatWheres()
// sqlWhere: where
};
try {
values = await generateHistogram(params);
if (values.bins) {
widget.bins = values.bins;
}
} catch(e) {
console.log('e:', e)
}
}
}
function updateOthers(otherWidgets, layerView, whereClause, features) {
for (var x = 0; x < otherWidgets.length; x++) {
// can't update TimeSliders
if (otherWidgets[x].label == "TimeSlider") continue;
updateHistogram(otherWidgets[x].widget, layerView, otherWidgets[x].getAttribute('fieldName'), whereClause, features);
}
}
const throttledUpdateOthers = _.throttle(updateOthers, 100, {trailing: false});
// list all known widget DOM elements
function listWidgetElements() {
return document.getElementById('filtersList').querySelectorAll('[whereClause]')
}
// concatenate all the where clauses from all the widgets
function concatWheres() {
let whereClause = '';
let widgets = listWidgetElements();
// generate master here clause with simple string concatenation
for (var x = 0; x < widgets.length; x++) {
if (x > 0) whereClause += ' AND ';
whereClause += '(' + widgets[x].getAttribute('whereClause') + ')';
}
return whereClause;
}
// update the map view with a new where clause
async function removeFilter(event, fieldName = null) {
fieldName = fieldName ? fieldName : event.currentTarget.dataset.field;
let filter = event.currentTarget.parentElement;
let filterList = filter.parentElement;
filter.remove();
if (filterList.children.length == 0) {
let firstFilter = document.createElement('div');
firstFilter.setAttribute('id', 'firstfilter');
firstFilter.innerText = "None"
filterList.appendChild(firstFilter);
}
}
async function switchAttribute(event, fieldName = null) {
fieldName = fieldName ? fieldName : event.currentTarget.dataset.field;
const field = getDatasetField(dataset, fieldName);
document.querySelector('#attributeListButton').innerHTML = fieldName;
switchStyles(null, layer, fieldName);
}
async function switchStyles(view, layer, fieldName) {
var field;
try {
if (!view) {
view = await drawMap(layer, dataset)
}
widgets.innerText += '\nDrawing '+fieldName+'.';
layerView = await view.whenLayerView(layer);
} catch(e) {
console.error(new Error(e));
layerView = await view.whenLayerView(layer);
}
var {renderer} = await autoStyle(fieldName, dataset, layer);
field = getDatasetField(dataset, fieldName);
layer.renderer = renderer;
layer.minScale = 0; // draw at all scales
layer.outFields = ["*"]; // get all fields (easier for prototyping, optimize by managing for necessary fields)
// clear previous filters
if (typeof layerView != 'undefined') {
updateLayerViewEffect({ updateExtent: true });
}
};
async function drawMap(layer, dataset) {
const map = new Map({
basemap: "dark-gray-vector",
layers: layer,
});
view = new MapView({
container: "viewDiv",
map: map,
extent: getDatasetExtent(dataset),
ui: { components: [] }
});
layerView = await view.whenLayerView(layer).then((layerView) => {
// var legend = await new Legend({
// view: view,
// layerInfos: [{
// layer: layer,
// title: "Legend"
// }]
// });
// view.ui.add(legend, "bottom-right");
});
// put vars on window for debugging
Object.assign(window, { view, map, dataset, layer, layerView, getDatasetField, getDatasetFieldUniqueValues, /*histogram, histogramValues,*/ generateHistogram, HistogramRangeSlider, uniqueValues });
// Dataset info
document.querySelector('#datasetName').innerHTML = dataset.attributes.name;
document.querySelector('#orgName').innerHTML = dataset.attributes.orgName || '';
document.querySelector('#recordCount').innerHTML = `${dataset.attributes.recordCount} records`;
return view;
}
// update layerview filter based on histogram widget, throttled
const updateLayerViewWithHistogram = _.throttle(
async (layerView, fieldName, where) => {
await updateLayerViewEffect({ where: where, updateExtent: true });
},
50
);
async function loadDataset (args) {
if (args.url) { // dataset url provided directly
const datasetURL = args.url;
try {
// dataset = (await fetch(datasetURL).then(r => r.json()));
dataset = {attributes: {url: args.url}}
} catch(e) { console.log('failed to load dataset from url:', args.url, e); }
} else if (args.datasetId) { // dataset id provided directly
// https://opendataqa.arcgis.com/api/v3/datasets/97a641ac39904f349fb5fc25b94207f6
const datasetURL = `https://opendata${args.env === 'qa' ? 'qa' : ''}.arcgis.com/api/v3/datasets/${args.datasetId}`;
try {
dataset = (await fetch(datasetURL).then(r => r.json())).data;
} catch(e) { console.log('failed to load dataset from id', args.datasetId, e); }
} else if (args.datasetSlug) { // dataset slug provided as alternate
// https://opendata.arcgis.com/api/v3/datasets?filter%5Bslug%5D=kingcounty%3A%3Aphoto-centers-for-2010-king-county-orthoimagery-project-ortho-image10-point
const filter = `${encodeURIComponent('filter[slug]')}=${encodeURIComponent(args.datasetSlug)}`
const datasetURL = `https://opendata${args.env === 'qa' ? 'qa' : ''}.arcgis.com/api/v3/datasets?${filter}`;
try {
dataset = (await fetch(datasetURL).then(r => r.json())).data[0];
} catch(e) { console.log('failed to load dataset from slug', args.datasetSlug, e); }
}
let attributesCountDiv = document.getElementById('attributesCount');
attributesCountDiv.innerHTML = `Showing ${dataset.attributes.fields.length} attributes`
console.log('dataset.attributes.fields:', dataset.attributes.fieldNames)
attributeList = updateAttributeList(dataset, '#attributeList')
// updateAttributeList(dataset, '#displayListItems')
// updateAttributeList(dataset, '#styleListItems')
let predefinedStyle = dataset.attributes?.layer?.drawingInfo;
var renderer;
let fieldName = Object.keys(dataset.attributes.statistics.numeric)[0]
let field = getDatasetField(dataset, fieldName)
switchSelected(null, field.name);
// iterate through all attributes and run stat & style generation for all
// for (let x in Object.keys(dataset.attributes.statistics.numeric)) {
// let fieldName = Object.keys(dataset.attributes.statistics.numeric)[x]
// let field = getDatasetField(dataset, fieldName)
// switchSelected(null, field.name);
// }
return { dataset, layer };
}
// analyze a dataset and choose an initial best-guess symbology for it
async function autoStyle(fieldName, dataset, layer) {
const geometryType = dataset.attributes.geometryType;
var field = getDatasetField(dataset, fieldName);
let datasetStats = dataset.attributes.statistics[field.simpleType][fieldName.toLowerCase()].statistics;
let fieldStats = field.statistics;
let minValue = fieldStats.values.min;
let maxValue = fieldStats.values.max;
let symbol;
var geotype = (geometryType == 'esriGeometryPoint') ? 'point'
: (geometryType == 'esriGeometryMultiPoint') ? 'point'
: (geometryType == 'esriGeometryPolygon') ? 'polygon'
: (geometryType == 'esriGeometryLine') ? 'line'
: (geometryType == 'esriGeometryPolyline') ? 'line'
: geometryType;
if (!!layer) {
var query = layer.createQuery();
// query.outFields = [fieldName]
try {
let uniqueValues = (await getDatasetFieldUniqueValues(dataset, fieldName, layer)).values;
let domain = [Math.min(...uniqueValues.map(a => a.value)),
Math.max(...uniqueValues.map(a => a.value))]
// remove nulls
var filtered = uniqueValues.filter(a => a.value != null);
// manually reconstruct a feature values array from the unique values and their counts -
// normalize array length to 1000, as precision isn't as important as speed here
// const divisor = dataset.attributes.recordCount / 1000;
// use the whole set
const divisor = 1;
let arr = [];
for (let x = 0; x < filtered.length; x++) {
for (let y = 0; y < Math.ceil(filtered[x].count/divisor); y++) {
arr.push(filtered[x].value);
};
}
var numBins = (uniqueValues.length > 30 ? 30 : uniqueValues.length)
// use d3 to bin histograms
let d3bins = d3.histogram() // create layout object
.domain([Math.min(...filtered.map(a => a.value)),
Math.max(...filtered.map(a => a.value))]) // to cover range
.thresholds(numBins - 1) // separated into 30 bins
(arr); // pass the array
// convert the d3 bins array to a bins object
var bins = [];
for (let x = 0; x < d3bins.length; x++) {
bins.push({
minValue: d3bins[x]['x0'],
maxValue: d3bins[x]['x1'],
count: d3bins[x].length,
});
}
// put the bins in the params object
var values = {
'bins': bins,
'minValue': Math.min(...filtered.map(a => a.value)),
'maxValue': Math.max(...filtered.map(a => a.value)),
}
const featureCount = arr.length;
var source = 'layerQuery';
var coverage = 1;
} catch(e) {
// histogram generation failed with unique values, try using features in layer view
console.log('histogram generation failed with unique values, try using features in layer view:');
console.error(new Error(e));
if (typeof layerView != 'undefined') {
const { features } = await layerView.queryFeatures();
const featureCount = await layer.queryFeatureCount();
var values = await generateHistogram(params);
var source = 'layerView';
var coverage = params.features.length / featureCount;
} else {
console.warn('No layerView')
}
}
var {features} = await layer.queryFeatures(query);
var numValues = datasetStats.values.count;
if (features) {
var values = Object.values(features).map(v => v.attributes[fieldName])
} else {
console.log('no features returned for', fieldName)
}
}
var opacity = .5;
if (geometryType === 'esriGeometryPoint') {
let stats = dataset.attributes.statistics
// scale point size based on viewport size, number of points, and "clumpiness" of the data,
// in order to reduce overlap of points
// if there's still a lot of points, adjust opacity to show points through each other
// pick a color scheme based on distribution of the data:
// if a linear distribution, choose a linear–
// if a log or exp distribution, choose log or exp –
// if a normal distribution or something similar, choose "extremes"
// choose colors based on background theme – dark on light, light on dark
symbol = {
type: "simple-marker",
outline: {
// makes the outlines of all features consistently light gray
color: "lightgray",
width: 0.05
},
size: '5px',
opacity: opacity,
}
}
else if (geometryType === 'esriGeometryPolyline') {
symbol = {type: 'simple-line', width: '4px' };
}
else if (geometryType === 'esriGeometryPolygon') {
symbol = {type: 'simple-fill' };
}
// choose ramp
let thisramp = colorRamps.byName("Heatmap 9");
var rampColors = thisramp.colors;
widgets.innerText += '\nShowing '+fieldStats.values.count+' '+field.simpleType+' values.';
filterResults.innerText = 'Showing '+fieldStats.values.count+' '+field.simpleType+' values.';
var rMin = rampColors[0];
var rMid = rampColors[Math.floor((rampColors.length-1)/2)];
var rMax = rampColors[rampColors.length-1];
var renderer = {
type: "simple", // autocasts as new SimpleRenderer()
symbol: symbol,
visualVariables: [{
type: "color", // indicates this is a color visual variable
field: fieldName,
// normalizationField: "TOTPOP_CY", // total population
stops: [{
value: minValue,
color: {r: rMin.r, g: rMin.g, b: rMin.b, a: opacity},
label: minValue
},{
value: (maxValue+minValue)/2,
color: {r: rMid.r, g: rMid.g, b: rMid.b, a: opacity},
label: (maxValue+minValue)/2,
},{
value: maxValue,
color: {r: rMax.r, g: rMax.g, b: rMax.b, a: opacity},
label: maxValue
}]
}]
};
return {renderer: renderer};
}
function getDatasetExtent (dataset) {
const extent = dataset.attributes.extent;
return {
xmin: extent.coordinates[0][0],
ymin: extent.coordinates[0][1],
xmax: extent.coordinates[1][0],
ymax: extent.coordinates[1][1],
spatialReference: extent.spatialReference
};
}
function getDatasetField (dataset, fieldName) {
fieldName = fieldName.toLowerCase();
const field = dataset.attributes.fields.find(f => f.name.toLowerCase() === fieldName);
const stats = [...Object.entries(dataset.attributes.statistics).values()].find(([, fields]) => fields[fieldName]);
// add "simple type" (numeric, date, string) and stats into rest of field definition
return {
...field,
simpleType: stats && stats[0],
statistics: stats && stats[1][fieldName].statistics
}
}
const DATASET_FIELD_UNIQUE_VALUES = {}; // cache by field name
async function getDatasetFieldUniqueValues (dataset, fieldName, layer) {
if (!DATASET_FIELD_UNIQUE_VALUES[fieldName]) {
const field = getDatasetField(dataset, fieldName);
let stats;
if (field.statistics && field.statistics.uniqueCount) {
stats = { ...field.statistics };
} else {
const uniqueValueInfos = (await uniqueValues({ layer, field: fieldName }))
.uniqueValueInfos
.sort((a, b) => a.count > b.count ? -1 : 1);
const count = uniqueValueInfos.reduce((count, f) => count + f.count, 0);
stats = {
count,
uniqueCount: uniqueValueInfos.length,
values: uniqueValueInfos
}
}