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plot_api_react_test.js
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var Plotly = require('@lib/index');
var plotApi = require('@src/plot_api/plot_api');
var Lib = require('@src/lib');
var Axes = require('@src/plots/cartesian/axes');
var subroutines = require('@src/plot_api/subroutines');
var annotations = require('@src/components/annotations');
var images = require('@src/components/images');
var Registry = require('@src/registry');
var d3 = require('d3');
var createGraphDiv = require('../assets/create_graph_div');
var destroyGraphDiv = require('../assets/destroy_graph_div');
var failTest = require('../assets/fail_test');
var supplyAllDefaults = require('../assets/supply_defaults');
var mockLists = require('../assets/mock_lists');
var mouseEvent = require('../assets/mouse_event');
var drag = require('../assets/drag');
var delay = require('../assets/delay');
var MAPBOX_ACCESS_TOKEN = require('@build/credentials.json').MAPBOX_ACCESS_TOKEN;
describe('@noCIdep Plotly.react', function() {
var mockedMethods = [
'doTraceStyle',
'doColorBars',
'doLegend',
'layoutStyles',
'doTicksRelayout',
'doModeBar',
'doCamera'
];
var gd;
var afterPlotCnt;
beforeEach(function() {
gd = createGraphDiv();
spyOn(plotApi, 'plot').and.callThrough();
spyOn(Registry, 'call').and.callThrough();
mockedMethods.forEach(function(m) {
spyOn(subroutines, m).and.callThrough();
subroutines[m].calls.reset();
});
spyOn(annotations, 'drawOne').and.callThrough();
spyOn(annotations, 'draw').and.callThrough();
spyOn(images, 'draw').and.callThrough();
spyOn(Axes, 'draw').and.callThrough();
});
afterEach(destroyGraphDiv);
function countPlots() {
plotApi.plot.calls.reset();
subroutines.layoutStyles.calls.reset();
annotations.draw.calls.reset();
annotations.drawOne.calls.reset();
images.draw.calls.reset();
afterPlotCnt = 0;
gd.on('plotly_afterplot', function() { afterPlotCnt++; });
}
function countCalls(counts) {
var callsFinal = Lib.extendFlat({}, counts);
callsFinal.layoutStyles = (counts.layoutStyles || 0) + (counts.plot || 0);
mockedMethods.forEach(function(m) {
expect(subroutines[m]).toHaveBeenCalledTimes(callsFinal[m] || 0);
subroutines[m].calls.reset();
});
// calls to Plotly.plot via plot_api.js or Registry.call('plot')
var plotCalls = plotApi.plot.calls.count() +
Registry.call.calls.all()
.filter(function(d) { return d.args[0] === 'plot'; })
.length;
expect(plotCalls).toBe(counts.plot || 0, 'Plotly.plot calls');
plotApi.plot.calls.reset();
Registry.call.calls.reset();
// only consider annotation and image draw calls if we *don't* do a full plot.
if(!counts.plot) {
expect(annotations.draw).toHaveBeenCalledTimes(counts.annotationDraw || 0);
expect(annotations.drawOne).toHaveBeenCalledTimes(counts.annotationDrawOne || 0);
expect(images.draw).toHaveBeenCalledTimes(counts.imageDraw || 0);
}
annotations.draw.calls.reset();
annotations.drawOne.calls.reset();
images.draw.calls.reset();
expect(afterPlotCnt).toBe(1, 'plotly_afterplot should be called only once per edit');
afterPlotCnt = 0;
}
it('can add / remove traces', function(done) {
var data1 = [{y: [1, 2, 3], mode: 'markers'}];
var data2 = [data1[0], {y: [2, 3, 1], mode: 'markers'}];
var layout = {};
Plotly.newPlot(gd, data1, layout)
.then(countPlots)
.then(function() {
expect(d3.selectAll('.point').size()).toBe(3);
return Plotly.react(gd, data2, layout);
})
.then(function() {
expect(d3.selectAll('.point').size()).toBe(6);
return Plotly.react(gd, data1, layout);
})
.then(function() {
expect(d3.selectAll('.point').size()).toBe(3);
})
.catch(failTest)
.then(done);
});
it('should notice new data by ===, without layout.datarevision', function(done) {
var data = [{y: [1, 2, 3], mode: 'markers'}];
var layout = {};
Plotly.newPlot(gd, data, layout)
.then(countPlots)
.then(function() {
expect(d3.selectAll('.point').size()).toBe(3);
data[0].y.push(4);
return Plotly.react(gd, data, layout);
})
.then(function() {
// didn't pick it up, as we modified in place!!!
expect(d3.selectAll('.point').size()).toBe(3);
countCalls({plot: 0});
data[0].y = [1, 2, 3, 4, 5];
return Plotly.react(gd, data, layout);
})
.then(function() {
// new object, we picked it up!
expect(d3.selectAll('.point').size()).toBe(5);
countCalls({plot: 1});
})
.catch(failTest)
.then(done);
});
it('should notice new layout.datarevision', function(done) {
var data = [{y: [1, 2, 3], mode: 'markers'}];
var layout = {datarevision: 1};
Plotly.newPlot(gd, data, layout)
.then(countPlots)
.then(function() {
expect(d3.selectAll('.point').size()).toBe(3);
data[0].y.push(4);
return Plotly.react(gd, data, layout);
})
.then(function() {
// didn't pick it up, as we didn't modify datarevision
expect(d3.selectAll('.point').size()).toBe(3);
countCalls({plot: 0});
data[0].y.push(5);
layout.datarevision = 'bananas';
return Plotly.react(gd, data, layout);
})
.then(function() {
// new revision, we picked it up!
expect(d3.selectAll('.point').size()).toBe(5);
countCalls({plot: 1});
})
.catch(failTest)
.then(done);
});
it('picks up partial redraws', function(done) {
var data = [{y: [1, 2, 3], mode: 'markers'}];
var layout = {};
Plotly.newPlot(gd, data, layout)
.then(countPlots)
.then(function() {
layout.title = 'XXXXX';
layout.hovermode = 'closest';
data[0].marker = {color: 'rgb(0, 100, 200)'};
return Plotly.react(gd, data, layout);
})
.then(function() {
countCalls({layoutStyles: 1, doTraceStyle: 1, doModeBar: 1});
expect(d3.select('.gtitle').text()).toBe('XXXXX');
var points = d3.selectAll('.point');
expect(points.size()).toBe(3);
points.each(function() {
expect(window.getComputedStyle(this).fill).toBe('rgb(0, 100, 200)');
});
layout.showlegend = true;
layout.xaxis.tick0 = 0.1;
layout.xaxis.dtick = 0.3;
return Plotly.react(gd, data, layout);
})
.then(function() {
// legend and ticks get called initially, but then plot gets added during automargin
countCalls({doLegend: 1, doTicksRelayout: 1, plot: 1});
data = [{z: [[1, 2], [3, 4]], type: 'surface'}];
layout = {};
return Plotly.react(gd, data, layout);
})
.then(function() {
// we get an extra call to layoutStyles from marginPushersAgain due to the colorbar.
// Really need to simplify that pipeline...
countCalls({plot: 1, layoutStyles: 1});
layout.scene.camera = {up: {x: 1, y: 0, z: -1}};
return Plotly.react(gd, data, layout);
})
.then(function() {
countCalls({doCamera: 1});
data[0].type = 'heatmap';
delete layout.scene;
return Plotly.react(gd, data, layout);
})
.then(function() {
countCalls({plot: 1});
// ideally we'd just do this with `surface` but colorbar attrs have editType 'calc' there
// TODO: can we drop them to type: 'colorbars' even for the 3D types?
data[0].colorbar = {len: 0.6};
return Plotly.react(gd, data, layout);
})
.then(function() {
countCalls({doColorBars: 1, plot: 1});
})
.catch(failTest)
.then(done);
});
it('picks up special dtick geo case', function(done) {
var data = [{type: 'scattergeo'}];
var layout = {};
function countLines() {
var path = d3.select(gd).select('.lataxis > path');
return path.attr('d').split('M').length;
}
Plotly.react(gd, data)
.then(countPlots)
.then(function() {
layout.geo = {lataxis: {showgrid: true, dtick: 10}};
return Plotly.react(gd, data, layout);
})
.then(function() {
countCalls({plot: 1});
expect(countLines()).toBe(18);
})
.then(function() {
layout.geo.lataxis.dtick = 30;
return Plotly.react(gd, data, layout);
})
.then(function() {
countCalls({plot: 1});
expect(countLines()).toBe(6);
})
.catch(failTest)
.then(done);
});
it('picks up minimal sequence for cartesian axis range updates', function(done) {
var data = [{y: [1, 2, 1]}];
var layout = {xaxis: {range: [1, 2]}};
var layout2 = {xaxis: {range: [0, 1]}};
Plotly.newPlot(gd, data, layout)
.then(countPlots)
.then(function() {
expect(Axes.draw).toHaveBeenCalledWith(gd, '');
return Plotly.react(gd, data, layout2);
})
.then(function() {
expect(Axes.draw).toHaveBeenCalledWith(gd, 'redraw');
expect(subroutines.layoutStyles).not.toHaveBeenCalled();
})
.catch(failTest)
.then(done);
});
it('redraws annotations one at a time', function(done) {
var data = [{y: [1, 2, 3], mode: 'markers'}];
var layout = {};
var ymax;
Plotly.newPlot(gd, data, layout)
.then(countPlots)
.then(function() {
ymax = layout.yaxis.range[1];
layout.annotations = [{
x: 1,
y: 4,
text: 'Way up high',
showarrow: false
}, {
x: 1,
y: 2,
text: 'On the data',
showarrow: false
}];
return Plotly.react(gd, data, layout);
})
.then(function() {
// autoranged - so we get a full replot
countCalls({plot: 1});
expect(d3.selectAll('.annotation').size()).toBe(2);
layout.annotations[1].bgcolor = 'rgb(200, 100, 0)';
return Plotly.react(gd, data, layout);
})
.then(function() {
countCalls({annotationDrawOne: 1});
expect(window.getComputedStyle(d3.select('.annotation[data-index="1"] .bg').node()).fill)
.toBe('rgb(200, 100, 0)');
expect(layout.yaxis.range[1]).not.toBeCloseTo(ymax, 0);
layout.annotations[0].font = {color: 'rgb(0, 255, 0)'};
layout.annotations[1].bgcolor = 'rgb(0, 0, 255)';
return Plotly.react(gd, data, layout);
})
.then(function() {
countCalls({annotationDrawOne: 2});
expect(window.getComputedStyle(d3.select('.annotation[data-index="0"] text').node()).fill)
.toBe('rgb(0, 255, 0)');
expect(window.getComputedStyle(d3.select('.annotation[data-index="1"] .bg').node()).fill)
.toBe('rgb(0, 0, 255)');
Lib.extendFlat(layout.annotations[0], {yref: 'paper', y: 0.8});
return Plotly.react(gd, data, layout);
})
.then(function() {
countCalls({plot: 1});
expect(layout.yaxis.range[1]).toBeCloseTo(ymax, 0);
})
.catch(failTest)
.then(done);
});
it('redraws images all at once', function(done) {
var data = [{y: [1, 2, 3], mode: 'markers'}];
var layout = {};
var jsLogo = 'https://images.plot.ly/language-icons/api-home/js-logo.png';
var x, y, height, width;
Plotly.newPlot(gd, data, layout)
.then(countPlots)
.then(function() {
layout.images = [{
source: jsLogo,
xref: 'paper',
yref: 'paper',
x: 0.1,
y: 0.1,
sizex: 0.2,
sizey: 0.2
}, {
source: jsLogo,
xref: 'x',
yref: 'y',
x: 1,
y: 2,
sizex: 1,
sizey: 1
}];
return Plotly.react(gd, data, layout);
})
.then(function() {
countCalls({imageDraw: 1});
expect(d3.selectAll('image').size()).toBe(2);
var n = d3.selectAll('image').node();
x = n.attributes.x.value;
y = n.attributes.y.value;
height = n.attributes.height.value;
width = n.attributes.width.value;
layout.images[0].y = 0.8;
layout.images[0].sizey = 0.4;
return Plotly.react(gd, data, layout);
})
.then(function() {
countCalls({imageDraw: 1});
var n = d3.selectAll('image').node();
expect(n.attributes.x.value).toBe(x);
expect(n.attributes.width.value).toBe(width);
expect(n.attributes.y.value).not.toBe(y);
expect(n.attributes.height.value).not.toBe(height);
})
.catch(failTest)
.then(done);
});
it('can change config, and always redraws', function(done) {
var data = [{y: [1, 2, 3]}];
var layout = {};
Plotly.newPlot(gd, data, layout)
.then(countPlots)
.then(function() {
expect(d3.selectAll('.drag').size()).toBe(11);
expect(d3.selectAll('.gtitle').size()).toBe(0);
return Plotly.react(gd, data, layout, {editable: true});
})
.then(function() {
expect(d3.selectAll('.drag').size()).toBe(11);
expect(d3.selectAll('.gtitle').text()).toBe('Click to enter Plot title');
countCalls({plot: 1});
return Plotly.react(gd, data, layout, {staticPlot: true});
})
.then(function() {
expect(d3.selectAll('.drag').size()).toBe(0);
expect(d3.selectAll('.gtitle').size()).toBe(0);
countCalls({plot: 1});
return Plotly.react(gd, data, layout, {});
})
.then(function() {
expect(d3.selectAll('.drag').size()).toBe(11);
expect(d3.selectAll('.gtitle').size()).toBe(0);
countCalls({plot: 1});
})
.catch(failTest)
.then(done);
});
it('can put polar plots into staticPlot mode', function(done) {
// tested separately since some of the relevant code is actually
// in cartesian/graph_interact... hopefully we'll fix that
// sometime and the test will still pass.
var data = [{r: [1, 2, 3], theta: [0, 120, 240], type: 'scatterpolar'}];
var layout = {};
Plotly.newPlot(gd, data, layout)
.then(countPlots)
.then(function() {
expect(d3.select(gd).selectAll('.drag').size()).toBe(4);
return Plotly.react(gd, data, layout, {staticPlot: true});
})
.then(function() {
expect(d3.select(gd).selectAll('.drag').size()).toBe(0);
return Plotly.react(gd, data, layout, {});
})
.then(function() {
expect(d3.select(gd).selectAll('.drag').size()).toBe(4);
})
.catch(failTest)
.then(done);
});
it('can change from scatter to category scatterpolar and back', function(done) {
function scatter() {
return {
data: [{x: ['a', 'b'], y: [1, 2]}],
layout: {width: 400, height: 400, margin: {r: 80, t: 20}}
};
}
function scatterpolar() {
return {
// the bug https://github.com/plotly/plotly.js/issues/3255
// required all of this to change:
// - type -> scatterpolar
// - category theta
// - margins changed
data: [{type: 'scatterpolar', r: [1, 2, 3], theta: ['a', 'b', 'c']}],
layout: {width: 400, height: 400, margin: {r: 80, t: 50}}
};
}
function countTraces(scatterTraces, polarTraces) {
expect(document.querySelectorAll('.scatter').length)
.toBe(scatterTraces + polarTraces);
expect(document.querySelectorAll('.xy .scatter').length)
.toBe(scatterTraces);
expect(document.querySelectorAll('.polar .scatter').length)
.toBe(polarTraces);
}
Plotly.newPlot(gd, scatter())
.then(function() {
countTraces(1, 0);
return Plotly.react(gd, scatterpolar());
})
.then(function() {
countTraces(0, 1);
return Plotly.react(gd, scatter());
})
.then(function() {
countTraces(1, 0);
})
.catch(failTest)
.then(done);
});
it('can change data in candlesticks multiple times', function(done) {
// test that we've fixed the original issue in
// https://github.com/plotly/plotly.js/issues/2510
function assertCalc(open, high, low, close) {
expect(gd.calcdata[0][0]).toEqual(jasmine.objectContaining({
min: low,
max: high,
med: close,
q1: Math.min(open, close),
q3: Math.max(open, close),
dir: close >= open ? 'increasing' : 'decreasing'
}));
}
var trace = {
type: 'candlestick',
low: [1],
open: [2],
close: [3],
high: [4]
};
Plotly.newPlot(gd, [trace])
.then(function() {
assertCalc(2, 4, 1, 3);
trace.low = [0];
return Plotly.react(gd, [trace]);
})
.then(function() {
assertCalc(2, 4, 0, 3);
trace.low = [-1];
return Plotly.react(gd, [trace]);
})
.then(function() {
assertCalc(2, 4, -1, 3);
trace.close = [1];
return Plotly.react(gd, [trace]);
})
.then(function() {
assertCalc(2, 4, -1, 1);
})
.catch(failTest)
.then(done);
});
function aggregatedPie(i) {
var labels = i <= 1 ?
['A', 'B', 'A', 'C', 'A', 'B', 'C', 'A', 'B', 'C', 'A'] :
['X', 'Y', 'Z', 'Z', 'Y', 'Z', 'X', 'Z', 'Y', 'Z', 'X'];
var trace = {
type: 'pie',
values: [4, 1, 4, 4, 1, 4, 4, 2, 1, 1, 15],
labels: labels,
transforms: [{
type: 'aggregate',
groups: labels,
aggregations: [{target: 'values', func: 'sum'}]
}]
};
return {
data: [trace],
layout: {
datarevision: i,
colorway: ['red', 'orange', 'yellow', 'green', 'blue', 'violet']
}
};
}
var aggPie1CD = [[
{v: 26, label: 'A', color: 'red', i: 0},
{v: 9, label: 'C', color: 'orange', i: 2},
{v: 6, label: 'B', color: 'yellow', i: 1}
]];
var aggPie2CD = [[
{v: 23, label: 'X', color: 'red', i: 0},
{v: 15, label: 'Z', color: 'orange', i: 2},
{v: 3, label: 'Y', color: 'yellow', i: 1}
]];
function aggregatedScatter(i) {
return {
data: [{
x: [1, 2, 3, 4, 6, 5],
y: [2, 1, 3, 5, 6, 4],
transforms: [{
type: 'aggregate',
groups: [1, -1, 1, -1, 1, -1],
aggregations: i > 1 ? [{func: 'last', target: 'x'}] : []
}]
}],
layout: {daterevision: i + 10}
};
}
var aggScatter1CD = [[
{x: 1, y: 2, i: 0},
{x: 2, y: 1, i: 1}
]];
var aggScatter2CD = [[
{x: 6, y: 2, i: 0},
{x: 5, y: 1, i: 1}
]];
function aggregatedParcoords(i) {
return {
data: [{
type: 'parcoords',
dimensions: [
{label: 'A', values: [1, 2, 3, 4]},
{label: 'B', values: [4, 3, 2, 1]}
],
transforms: i ? [{
type: 'aggregate',
groups: [1, 2, 1, 2],
aggregations: [
{target: 'dimensions[0].values', func: i > 1 ? 'avg' : 'first'},
{target: 'dimensions[1].values', func: i > 1 ? 'first' : 'avg'}
]
}] :
[]
}]
};
}
var aggParcoords0Vals = [[1, 2, 3, 4], [4, 3, 2, 1]];
var aggParcoords1Vals = [[1, 2], [3, 2]];
var aggParcoords2Vals = [[2, 3], [4, 3]];
function checkCalcData(expectedCD) {
return function() {
expect(gd.calcdata.length).toBe(expectedCD.length);
expectedCD.forEach(function(expectedCDi, i) {
var cdi = gd.calcdata[i];
expect(cdi.length).toBe(expectedCDi.length, i);
expectedCDi.forEach(function(expectedij, j) {
expect(cdi[j]).toEqual(jasmine.objectContaining(expectedij));
});
});
};
}
function checkValues(expectedVals) {
return function() {
expect(gd._fullData.length).toBe(1);
var dims = gd._fullData[0].dimensions;
expect(dims.length).toBe(expectedVals.length);
expectedVals.forEach(function(expected, i) {
expect(dims[i].values).toEqual(expected);
});
};
}
function reactTo(fig) {
return function() { return Plotly.react(gd, fig); };
}
it('can change pie aggregations', function(done) {
Plotly.newPlot(gd, aggregatedPie(1))
.then(checkCalcData(aggPie1CD))
.then(reactTo(aggregatedPie(2)))
.then(checkCalcData(aggPie2CD))
.then(reactTo(aggregatedPie(1)))
.then(checkCalcData(aggPie1CD))
.catch(failTest)
.then(done);
});
it('can change scatter aggregations', function(done) {
Plotly.newPlot(gd, aggregatedScatter(1))
.then(checkCalcData(aggScatter1CD))
.then(reactTo(aggregatedScatter(2)))
.then(checkCalcData(aggScatter2CD))
.then(reactTo(aggregatedScatter(1)))
.then(checkCalcData(aggScatter1CD))
.catch(failTest)
.then(done);
});
it('@gl can change parcoords aggregations', function(done) {
Plotly.newPlot(gd, aggregatedParcoords(0))
.then(checkValues(aggParcoords0Vals))
.then(reactTo(aggregatedParcoords(1)))
.then(checkValues(aggParcoords1Vals))
.then(reactTo(aggregatedParcoords(2)))
.then(checkValues(aggParcoords2Vals))
.then(reactTo(aggregatedParcoords(0)))
.then(checkValues(aggParcoords0Vals))
.catch(failTest)
.then(done);
});
it('@gl can change type with aggregations', function(done) {
Plotly.newPlot(gd, aggregatedScatter(1))
.then(checkCalcData(aggScatter1CD))
.then(reactTo(aggregatedPie(1)))
.then(checkCalcData(aggPie1CD))
.then(reactTo(aggregatedParcoords(1)))
.then(checkValues(aggParcoords1Vals))
.then(reactTo(aggregatedScatter(1)))
.then(checkCalcData(aggScatter1CD))
.then(reactTo(aggregatedParcoords(2)))
.then(checkValues(aggParcoords2Vals))
.then(reactTo(aggregatedPie(2)))
.then(checkCalcData(aggPie2CD))
.then(reactTo(aggregatedScatter(2)))
.then(checkCalcData(aggScatter2CD))
.then(reactTo(aggregatedParcoords(0)))
.then(checkValues(aggParcoords0Vals))
.catch(failTest)
.then(done);
});
it('can change frames without redrawing', function(done) {
var data = [{y: [1, 2, 3]}];
var layout = {};
var frames = [{name: 'frame1'}];
Plotly.newPlot(gd, {data: data, layout: layout, frames: frames})
.then(countPlots)
.then(function() {
var frameData = gd._transitionData._frames;
expect(frameData.length).toBe(1);
expect(frameData[0].name).toBe('frame1');
frames[0].name = 'frame2';
return Plotly.react(gd, {data: data, layout: layout, frames: frames});
})
.then(function() {
countCalls({});
var frameData = gd._transitionData._frames;
expect(frameData.length).toBe(1);
expect(frameData[0].name).toBe('frame2');
})
.catch(failTest)
.then(done);
});
// make sure we've included every trace type in this suite
var typesTested = {};
var itemType;
for(itemType in Registry.modules) { typesTested[itemType] = 0; }
for(itemType in Registry.transformsRegistry) { typesTested[itemType] = 0; }
// Not really being supported... This isn't part of the main bundle, and it's pretty broken,
// but it gets registered and used by a couple of the gl2d tests.
delete typesTested.contourgl;
function _runReactMock(mockSpec, done) {
var mock = mockSpec[1];
var initialJson;
function fullJson() {
var out = JSON.parse(Plotly.Plots.graphJson({
data: gd._fullData.map(function(trace) { return trace._fullInput; }),
layout: gd._fullLayout
}));
// TODO: does it matter that ax.tick0/dtick/range and zmin/zmax
// are often not regenerated without a calc step?
// in as far as editor and others rely on _full, I think the
// answer must be yes, but I'm not sure about within plotly.js
[
'xaxis', 'xaxis2', 'xaxis3', 'xaxis4', 'xaxis5',
'yaxis', 'yaxis2', 'yaxis3', 'yaxis4',
'zaxis'
].forEach(function(axName) {
var ax = out.layout[axName];
if(ax) {
delete ax.dtick;
delete ax.tick0;
// TODO this one I don't understand and can't reproduce
// in the dashboard but it's needed here?
delete ax.range;
}
if(out.layout.scene) {
ax = out.layout.scene[axName];
if(ax) {
delete ax.dtick;
delete ax.tick0;
// TODO: this is the only one now that uses '_input_' + key
// as a hack to tell Plotly.react to ignore changes.
// Can we kill this?
delete ax.range;
}
}
});
out.data.forEach(function(trace) {
if(trace.type === 'contourcarpet') {
delete trace.zmin;
delete trace.zmax;
}
});
return out;
}
// Make sure we define `_length` in every trace *in supplyDefaults*.
// This is only relevant for traces that *have* a 1D concept of length,
// and in addition to simplifying calc/plot logic later on, ths serves
// as a signal to transforms about how they should operate. For traces
// that do NOT have a 1D length, `_length` should be `null`.
var mockGD = Lib.extendDeep({}, mock);
supplyAllDefaults(mockGD);
expect(mockGD._fullData.length).not.toBeLessThan((mock.data || []).length, mockSpec[0]);
mockGD._fullData.forEach(function(trace, i) {
var len = trace._length;
if(trace.visible !== false && len !== null) {
expect(typeof len).toBe('number', mockSpec[0] + ' trace ' + i + ': type=' + trace.type);
}
typesTested[trace.type]++;
if(trace.transforms) {
trace.transforms.forEach(function(transform) {
typesTested[transform.type]++;
});
}
});
Plotly.newPlot(gd, mock)
.then(countPlots)
.then(function() {
initialJson = fullJson();
return Plotly.react(gd, mock);
})
.then(function() {
expect(fullJson()).toEqual(initialJson);
countCalls({});
})
.catch(failTest)
.then(done);
}
mockLists.svg.forEach(function(mockSpec) {
it('can redraw "' + mockSpec[0] + '" with no changes as a noop (svg mocks)', function(done) {
_runReactMock(mockSpec, done);
});
});
mockLists.gl.forEach(function(mockSpec) {
it('can redraw "' + mockSpec[0] + '" with no changes as a noop (gl mocks)', function(done) {
_runReactMock(mockSpec, done);
});
});
mockLists.mapbox.forEach(function(mockSpec) {
it('@noCI @gl can redraw "' + mockSpec[0] + '" with no changes as a noop (mapbpox mocks)', function(done) {
Plotly.setPlotConfig({
mapboxAccessToken: MAPBOX_ACCESS_TOKEN
});
_runReactMock(mockSpec, done);
});
});
// since CI breaks up gl/svg types, and drops scattermapbox, this test won't work there
// but I should hope that if someone is doing something as major as adding a new type,
// they'll run the full test suite locally!
it('@noCI tested every trace & transform type at least once', function() {
for(var itemType in typesTested) {
expect(typesTested[itemType]).toBeGreaterThan(0, itemType + ' was not tested');
}
});
});
describe('resizing with Plotly.relayout and Plotly.react', function() {
var gd;
beforeEach(function() {
gd = createGraphDiv();
});
afterEach(destroyGraphDiv);
it('recalculates autoranges when height/width change', function(done) {
Plotly.newPlot(gd,
[{y: [1, 2], marker: {size: 100}}],
{width: 400, height: 400, margin: {l: 100, r: 100, t: 100, b: 100}}
)
.then(function() {
expect(gd.layout.xaxis.range).toBeCloseToArray([-1.31818, 2.31818], 3);
expect(gd.layout.yaxis.range).toBeCloseToArray([-0.31818, 3.31818], 3);
return Plotly.relayout(gd, {height: 800, width: 800});
})
.then(function() {
expect(gd.layout.xaxis.range).toBeCloseToArray([-0.22289, 1.22289], 3);
expect(gd.layout.yaxis.range).toBeCloseToArray([0.77711, 2.22289], 3);
gd.layout.width = 500;
gd.layout.height = 500;
return Plotly.react(gd, gd.data, gd.layout);
})
.then(function() {
expect(gd.layout.xaxis.range).toBeCloseToArray([-0.53448, 1.53448], 3);
expect(gd.layout.yaxis.range).toBeCloseToArray([0.46552, 2.53448], 3);
})
.catch(failTest)
.then(done);
});
});
describe('Plotly.react and uirevision attributes', function() {
var gd;
beforeEach(function() {
gd = createGraphDiv();
});
afterEach(function() {
Plotly.purge(gd);
destroyGraphDiv();
});
function checkCloseIfArray(val1, val2, msg) {
if(Array.isArray(val1) && Array.isArray(val2)) {
if(Array.isArray(val1[0]) && Array.isArray(val2[0])) {
expect(val1).toBeCloseTo2DArray(val2, 2, msg);
} else {
expect(val1).toBeCloseToArray(val2, 2, msg);
}
} else {
expect(val1).toBe(val2, msg);
}
}
function checkState(dataKeys, layoutKeys, msg) {
var np = Lib.nestedProperty;
return function() {
dataKeys.forEach(function(traceKeys, i) {
var trace = gd.data[i];
var fullTrace = gd._fullData.filter(function(ft) {
return ft._fullInput.index === i;
})[0]._fullInput;
for(var key in traceKeys) {
var val = traceKeys[key];
var valIn = Array.isArray(val) ? val[0] : val;
var valOut = Array.isArray(val) ? val[val.length - 1] : val;
checkCloseIfArray(np(trace, key).get(), valIn, msg + ': data[' + i + '].' + key);
checkCloseIfArray(np(fullTrace, key).get(), valOut, msg + ': _fullData[' + i + '].' + key);
checkCloseIfArray(np(trace, key).get(), valIn, msg + ': data[' + i + '].' + key);
checkCloseIfArray(np(fullTrace, key).get(), valOut, msg + ': _fullData[' + i + '].' + key);
}
});
for(var key in (layoutKeys || {})) {
var val = layoutKeys[key];
var valIn = Array.isArray(val) ? val[0] : val;
var valOut = Array.isArray(val) ? val[val.length - 1] : val;
checkCloseIfArray(np(gd.layout, key).get(), valIn, msg + ': layout.' + key);
checkCloseIfArray(np(gd._fullLayout, key).get(), valOut, msg + ': _fullLayout.' + key);
}
};
}
function _react(fig) {
return function() {
return Plotly.react(gd, fig);
};
}