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refactor: Replace usages of reactable in TimeTable (#11239)
* Refactor TimeTable to use react-table * Fix import * Refactor TimeTable into functional component
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@ -16,12 +16,12 @@
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* specific language governing permissions and limitations
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* under the License.
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*/
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import React from 'react';
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import React, { useMemo } from 'react';
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import PropTypes from 'prop-types';
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import Mustache from 'mustache';
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import { scaleLinear } from 'd3-scale';
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import { Table, Thead, Th, Tr, Td } from 'reactable-arc';
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import { formatNumber, formatTime } from '@superset-ui/core';
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import TableView from 'src/components/TableView';
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import { formatNumber, formatTime, styled } from '@superset-ui/core';
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import {
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InfoTooltipWithTrigger,
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MetricOption,
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@ -89,62 +89,77 @@ const defaultProps = {
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url: '',
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};
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class TimeTable extends React.PureComponent {
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renderLeftCell(row) {
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const { rowType, url } = this.props;
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const context = { metric: row };
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const fullUrl = url ? Mustache.render(url, context) : null;
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const TimeTableStyles = styled.div`
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height: ${props => props.height}px;
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if (rowType === 'column') {
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const column = row;
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if (fullUrl) {
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return (
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<a href={fullUrl} rel="noopener noreferrer" target="_blank">
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{column.label}
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</a>
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);
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}
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return column.label;
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}
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const metric = row;
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return (
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<MetricOption
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metric={metric}
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url={fullUrl}
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showFormula={false}
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openInNewWindow
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/>
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);
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th {
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z-index: 1; // to cover sparkline
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}
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`;
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renderSparklineCell(valueField, column, entries) {
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let sparkData;
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if (column.timeRatio) {
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// Period ratio sparkline
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sparkData = [];
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for (let i = column.timeRatio; i < entries.length; i += 1) {
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const prevData = entries[i - column.timeRatio][valueField];
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if (prevData && prevData !== 0) {
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sparkData.push(entries[i][valueField] / prevData);
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} else {
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sparkData.push(null);
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const TimeTable = ({
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className,
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height,
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data,
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columnConfigs,
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rowType,
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rows,
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url,
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}) => {
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const memoizedColumns = useMemo(
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() => [
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{ accessor: 'metric', Header: 'Metric' },
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...columnConfigs.map((columnConfig, i) => ({
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accessor: columnConfig.key,
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cellProps: columnConfig.colType === 'spark' && {
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style: { width: '1%' },
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},
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Header: () => (
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<>
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{columnConfig.label}{' '}
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{columnConfig.tooltip && (
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<InfoTooltipWithTrigger
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tooltip={columnConfig.tooltip}
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label={`tt-col-${i}`}
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placement="top"
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/>
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)}
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</>
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),
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sortType: (rowA, rowB, columnId) => {
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const rowAVal = rowA.values[columnId].props['data-value'];
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const rowBVal = rowB.values[columnId].props['data-value'];
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return rowAVal - rowBVal;
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},
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})),
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],
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[columnConfigs],
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);
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const memoizedRows = useMemo(() => {
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const renderSparklineCell = (valueField, column, entries) => {
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let sparkData;
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if (column.timeRatio) {
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// Period ratio sparkline
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sparkData = [];
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for (let i = column.timeRatio; i < entries.length; i += 1) {
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const prevData = entries[i - column.timeRatio][valueField];
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if (prevData && prevData !== 0) {
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sparkData.push(entries[i][valueField] / prevData);
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} else {
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sparkData.push(null);
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}
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}
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} else {
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sparkData = entries.map(d => d[valueField]);
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}
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} else {
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sparkData = entries.map(d => d[valueField]);
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}
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return (
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<Td
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column={column.key}
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key={column.key}
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value={sparkData[sparkData.length - 1]}
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>
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return (
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<SparklineCell
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width={parseInt(column.width, 10) || 300}
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height={parseInt(column.height, 10) || 50}
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data={sparkData}
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data-value={sparkData[sparkData.length - 1]}
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ariaLabel={`spark-${valueField}`}
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numberFormat={column.d3format}
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yAxisBounds={column.yAxisBounds}
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@ -161,146 +176,148 @@ class TimeTable extends React.PureComponent {
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</div>
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)}
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/>
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</Td>
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);
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}
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);
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};
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renderValueCell(valueField, column, reversedEntries) {
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const recent = reversedEntries[0][valueField];
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let v;
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let errorMsg;
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if (column.colType === 'time') {
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// Time lag ratio
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const timeLag = column.timeLag || 0;
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const totalLag = Object.keys(reversedEntries).length;
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if (timeLag >= totalLag) {
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errorMsg = `The time lag set at ${timeLag} is too large for the length of data at ${reversedEntries.length}. No data available.`;
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} else {
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v = reversedEntries[timeLag][valueField];
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}
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if (column.comparisonType === 'diff') {
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v = recent - v;
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} else if (column.comparisonType === 'perc') {
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v = recent / v;
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} else if (column.comparisonType === 'perc_change') {
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v = recent / v - 1;
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}
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v = v || 0;
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} else if (column.colType === 'contrib') {
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// contribution to column total
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v =
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recent /
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Object.keys(reversedEntries[0])
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.map(k => (k !== 'time' ? reversedEntries[0][k] : null))
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.reduce((a, b) => a + b);
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} else if (column.colType === 'avg') {
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// Average over the last {timeLag}
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v =
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reversedEntries
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.map((k, i) => (i < column.timeLag ? k[valueField] : 0))
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.reduce((a, b) => a + b) / column.timeLag;
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}
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const color = colorFromBounds(v, column.bounds);
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return (
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<Td
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column={column.key}
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key={column.key}
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value={v}
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style={
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color && {
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boxShadow: `inset 0px -2.5px 0px 0px ${color}`,
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borderRight: '2px solid #fff',
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}
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const renderValueCell = (valueField, column, reversedEntries) => {
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const recent = reversedEntries[0][valueField];
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let v;
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let errorMsg;
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if (column.colType === 'time') {
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// Time lag ratio
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const timeLag = column.timeLag || 0;
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const totalLag = Object.keys(reversedEntries).length;
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if (timeLag >= totalLag) {
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errorMsg = `The time lag set at ${timeLag} is too large for the length of data at ${reversedEntries.length}. No data available.`;
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} else {
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v = reversedEntries[timeLag][valueField];
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}
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>
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{errorMsg ? (
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<div>{errorMsg}</div>
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) : (
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<div style={{ color }}>
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<FormattedNumber num={v} format={column.d3format} />
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</div>
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)}
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</Td>
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);
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}
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if (column.comparisonType === 'diff') {
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v = recent - v;
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} else if (column.comparisonType === 'perc') {
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v = recent / v;
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} else if (column.comparisonType === 'perc_change') {
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v = recent / v - 1;
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}
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v = v || 0;
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} else if (column.colType === 'contrib') {
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// contribution to column total
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v =
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recent /
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Object.keys(reversedEntries[0])
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.map(k => (k !== 'time' ? reversedEntries[0][k] : null))
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.reduce((a, b) => a + b);
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} else if (column.colType === 'avg') {
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// Average over the last {timeLag}
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v =
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reversedEntries
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.map((k, i) => (i < column.timeLag ? k[valueField] : 0))
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.reduce((a, b) => a + b) / column.timeLag;
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}
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renderRow(row, entries, reversedEntries) {
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const { columnConfigs } = this.props;
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const valueField = row.label || row.metric_name;
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const leftCell = this.renderLeftCell(row);
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const color = colorFromBounds(v, column.bounds);
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return (
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<Tr key={leftCell}>
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<Td column="metric" data={leftCell}>
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{leftCell}
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</Td>
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{columnConfigs.map(c =>
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c.colType === 'spark'
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? this.renderSparklineCell(valueField, c, entries)
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: this.renderValueCell(valueField, c, reversedEntries),
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)}
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</Tr>
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);
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}
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return (
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<span
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key={column.key}
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data-value={v}
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style={
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color && {
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boxShadow: `inset 0px -2.5px 0px 0px ${color}`,
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borderRight: '2px solid #fff',
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}
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}
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>
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{errorMsg ? (
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{ errorMsg }
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) : (
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<span style={{ color }}>
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<FormattedNumber num={v} format={column.d3format} />
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</span>
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)}
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</span>
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);
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};
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render() {
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const {
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className,
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height,
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data,
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columnConfigs,
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rowType,
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rows,
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} = this.props;
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const renderLeftCell = row => {
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const context = { metric: row };
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const fullUrl = url ? Mustache.render(url, context) : null;
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if (rowType === 'column') {
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const column = row;
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if (fullUrl) {
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return (
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<a href={fullUrl} rel="noopener noreferrer" target="_blank">
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{column.label}
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</a>
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);
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}
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return column.label;
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}
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return (
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<MetricOption
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metric={row}
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url={fullUrl}
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showFormula={false}
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openInNewWindow
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/>
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);
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};
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const entries = Object.keys(data)
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.sort()
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.map(time => ({ ...data[time], time }));
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const reversedEntries = entries.concat().reverse();
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const defaultSort =
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rowType === 'column' && columnConfigs.length
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? {
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column: columnConfigs[0].key,
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direction: 'desc',
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}
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: false;
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return rows.map(row => {
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const valueField = row.label || row.metric_name;
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const cellValues = columnConfigs.reduce((acc, columnConfig) => {
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if (columnConfig.colType === 'spark') {
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return {
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...acc,
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[columnConfig.key]: renderSparklineCell(
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valueField,
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columnConfig,
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entries,
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),
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};
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}
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return {
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...acc,
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[columnConfig.key]: renderValueCell(
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valueField,
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columnConfig,
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reversedEntries,
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),
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};
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}, {});
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return { ...row, ...cellValues, metric: renderLeftCell(row) };
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});
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}, [columnConfigs, data, rowType, rows, url]);
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return (
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<div className={`time-table ${className}`} style={{ height }}>
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<Table
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className="table table-no-hover"
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defaultSort={defaultSort}
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sortBy={defaultSort}
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sortable={columnConfigs.map(c => c.key)}
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>
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<Thead>
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<Th column="metric">Metric</Th>
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{columnConfigs.map((c, i) => (
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<Th
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key={c.key}
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column={c.key}
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width={c.colType === 'spark' ? '1%' : null}
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>
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{c.label}{' '}
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{c.tooltip && (
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<InfoTooltipWithTrigger
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tooltip={c.tooltip}
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label={`tt-col-${i}`}
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placement="top"
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/>
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)}
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</Th>
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))}
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</Thead>
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{rows.map(row => this.renderRow(row, entries, reversedEntries))}
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</Table>
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</div>
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);
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}
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}
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const defaultSort =
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rowType === 'column' && columnConfigs.length
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? [
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{
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id: columnConfigs[0].key,
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desc: 'true',
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},
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]
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: [];
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return (
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<TimeTableStyles className={`time-table ${className}`} height={height}>
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<TableView
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className="table-no-hover"
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columns={memoizedColumns}
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data={memoizedRows}
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initialSortBy={defaultSort}
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withPagination={false}
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/>
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</TimeTableStyles>
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);
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};
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TimeTable.propTypes = propTypes;
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TimeTable.defaultProps = defaultProps;
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