// Test data for TimeSeries interactive behavior and boundary validation
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// Tests navigation, zoom operations and ensures charts stay within visible bounds
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// Configuration for TimeSeries with MultiChannel
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export const multiChannelConfig = `
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<View>
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<Header value="TimeSeries Interactive Navigation Testing"/>
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<TimeSeriesLabels name="label" toName="ts">
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<Label value="High" background="red"/>
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<Label value="Low" background="blue"/>
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<Label value="Normal" background="green"/>
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</TimeSeriesLabels>
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<TimeSeries name="ts" value="$timeseries" valueType="json" timeColumn="time" overviewChannels="ascending">
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<MultiChannel height="300">
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<Channel column="ascending"
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units="units"
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displayFormat=",.1f"
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legend="Ascending Trend"
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strokeColor="#1f77b4"/>
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<Channel column="descending"
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units="units"
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displayFormat=",.1f"
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legend="Descending Trend"
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strokeColor="#ff7f0e"/>
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<Channel column="high_variance"
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units="units"
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displayFormat=",.1f"
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legend="High Variance"
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strokeColor="#2ca02c"/>
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</MultiChannel>
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</TimeSeries>
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</View>
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`;
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// Configuration for single channel TimeSeries
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export const singleChannelConfig = `
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<View>
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<Header value="TimeSeries Single Channel Navigation Testing"/>
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<TimeSeriesLabels name="label" toName="ts">
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<Label value="Peak" background="red"/>
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<Label value="Valley" background="blue"/>
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</TimeSeriesLabels>
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<TimeSeries name="ts" value="$timeseries" valueType="json" timeColumn="time" overviewChannels="ascending">
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<Channel column="ascending"
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units="units"
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displayFormat=",.1f"
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legend="Ascending Data"
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strokeColor="#1f77b4"/>
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</TimeSeries>
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</View>
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`;
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// Generate test data with varied patterns for navigation testing
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function generateNavigationTestData(pointCount = 200000) {
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const data = {
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time: [] as number[],
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ascending: [] as number[],
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descending: [] as number[],
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high_variance: [] as number[],
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};
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const timeStep = 1;
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for (let i = 0; i < pointCount; i++) {
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const t = i * timeStep;
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data.time.push(t);
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// Ascending trend with moderate values (0 to 1000)
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data.ascending.push(i * (1000 / pointCount) + Math.sin(t * 0.01) * 50);
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// Descending trend with moderate negative values (0 to -800)
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data.descending.push(-i * (800 / pointCount) + Math.cos(t * 0.008) * 40);
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// High variance data oscillating between -500 and 500
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data.high_variance.push(
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500 * Math.sin(t * 0.02) + 200 * Math.cos(t * 0.05) + 100 * Math.sin(t * 0.1) * Math.random(),
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);
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}
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return data;
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}
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// Heavy dataset for displacement testing (200K points) - wrapped in proper format for LabelStudio
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export const heavyDatasetForDisplacement = {
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timeseries: generateNavigationTestData(200000),
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};
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