{"version":3,"file":"Component-G49xxeB4.mjs","sources":["../node_modules/es-toolkit/dist/compat/array/concat.mjs","../src/components/ConversationMessage/extensions/NodeViews/AreaChart/utils.ts","../src/components/ConversationMessage/extensions/NodeViews/AreaChart/hooks/useAreaChartNodeView.ts","../src/components/ConversationMessage/extensions/NodeViews/AreaChart/Component.tsx"],"sourcesContent":["import { flatten } from '../../array/flatten.mjs';\n\nfunction concat(...values) {\n return flatten(values);\n}\n\nexport { concat };\n","import { getSizeOfText } from '@antscorp/antsomi-charts';\nimport { concat, isEmpty, toNumber } from 'es-toolkit/compat';\nimport type { TupleToUnion } from 'type-fest';\nimport { REGEX_DIMENSION } from '@/constants/report';\nimport type { ApiAreaChartData, ApiLineChartData, Field } from '@/types';\nimport type { AreaChartSettings } from '@/types/report/areachart';\nimport { Utils } from '@/utils';\n\nconst MAX_LINE_PER_METRIC = 16;\n\nconst handleFormatRowObjectPattern = (row: TupleToUnion) => {\n\tconst [time, dimension, metric] = row || [];\n\n\treturn {\n\t\ttime: time.value,\n\t\tdimension: dimension.value,\n\t\taggregations: [\n\t\t\t{\n\t\t\t\tname: metric.name,\n\t\t\t\ttype: metric.aggregationType,\n\t\t\t\tvalue: metric.value,\n\t\t\t},\n\t\t],\n\t};\n};\n\nexport const serializeReportPerfData = (params: {\n\tdata: ApiAreaChartData;\n\tsettings: AreaChartSettings;\n\topts?: {\n\t\trenderMetric?: Field[];\n\t\tsetXAxisSize?: (params: { width: number; height: number }) => void;\n\t\tupdateValidateData?: (params: unknown) => void;\n\t};\n}) => {\n\ttype YAxis = {\n\t\tisActive: boolean;\n\t\tkey: string;\n\t\tlabel: string;\n\t\tname: string;\n\t\tshowOtherInfo?: {\n\t\t\tindex: number;\n\t\t};\n\t\tyAxisId: string;\n\t\tcolor: string;\n\t};\n\n\tconst { data: apiData, settings, opts } = params;\n\n\tconst { mode = 'EDIT', style } = settings;\n\n\tconst metrics = Utils.helpers.safeParseListField(settings.metric);\n\tconst dimensions = Utils.helpers.safeParseListField(settings.dimension);\n\tconst timeDimensions = Utils.helpers.safeParseListField(settings.timeDimension);\n\n\tconst renderMetric = opts?.renderMetric\n\t\t? Utils.helpers.safeParseListField(opts.renderMetric)\n\t\t: metrics;\n\n\tconst { rows } = apiData;\n\n\tconst { general, columns = [], xAxis, areaChart: styleAreaChart } = style;\n\n\tconst missingDataOption = general.missingData || 'lineToZero';\n\tconst missingDataValue = missingDataOption === 'lineToZero' ? 0 : null;\n\n\tconst range = xAxis.range || 'rangeByDateRange';\n\n\tlet arrData: {\n\t\ttime: string;\n\t\t[key: string]: null | number | string;\n\t}[] = [];\n\n\tlet number = 0;\n\n\tconst arrYAxis: YAxis[] = [];\n\tconst arrTotalValue: Record = {};\n\n\tlet arrDimensionName: string[] = [];\n\n\tconst rowsShowOther: { normalValue: number; negativeValue: number; positiveValue: number }[][] =\n\t\t[];\n\n\tlet isPositive = true;\n\n\tif (\n\t\tmode === 'EDIT' &&\n\t\t!renderMetric.every((metric) => metrics.some((item) => item.key === metric.key))\n\t) {\n\t\treturn;\n\t}\n\n\t('');\n\trows.forEach((raw, rowIndex) => {\n\t\tconst row = handleFormatRowObjectPattern(raw) || {};\n\n\t\tconst item: {\n\t\t\ttime: string;\n\t\t\t[key: string]: null | number | string;\n\t\t} = { time: row.time };\n\n\t\tif (dimensions.length === 0) {\n\t\t\t// Not have breakdown dimension\n\t\t\tfor (const metric of renderMetric) {\n\t\t\t\t// Handle y axis key\n\t\t\t\tif (number < 1 && metric.name) {\n\t\t\t\t\tarrYAxis.push({\n\t\t\t\t\t\tkey: metric.key || '',\n\t\t\t\t\t\tname: metric.name,\n\t\t\t\t\t\tlabel: metric.aliasLabel || metric.label,\n\t\t\t\t\t\tisActive: true,\n\t\t\t\t\t\tyAxisId: '',\n\t\t\t\t\t\tcolor: '',\n\t\t\t\t\t});\n\t\t\t\t}\n\n\t\t\t\t// Check dimension moved metric\n\t\t\t\tconst isAggregation = true;\n\n\t\t\t\tlet value = 0;\n\n\t\t\t\tif (isAggregation) {\n\t\t\t\t\tif (row.aggregations.length > 0) {\n\t\t\t\t\t\tconst aggregationItem = row.aggregations.find((aggregation) => {\n\t\t\t\t\t\t\treturn aggregation.name === metric.name;\n\t\t\t\t\t\t});\n\n\t\t\t\t\t\tif (aggregationItem?.value) {\n\t\t\t\t\t\t\tvalue = +aggregationItem.value[0] || 0;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// else if (\n\t\t\t\t// \trow['metrics'] &&\n\t\t\t\t// \ttypeof row['metrics'][metric.name] !== 'undefined' &&\n\t\t\t\t// \trow['metrics'][metric.name].length\n\t\t\t\t// ) {\n\t\t\t\t// \tvalue = +row['metrics'][metric.name][0];\n\t\t\t\t// }\n\n\t\t\t\tvalue = +Utils.helpers.convertValueFromDataType({\n\t\t\t\t\tvalue,\n\t\t\t\t\tfield: metric,\n\t\t\t\t});\n\n\t\t\t\titem[metric.key] = value && +value > 0 ? value : missingDataValue;\n\n\t\t\t\t// Collect data to show cumulative\n\t\t\t\tconst keyCumulative = `${metric.key}_cumulative`;\n\t\t\t\tconst prevValue = toNumber(arrData[rowIndex - 1]?.[keyCumulative]) || 0;\n\n\t\t\t\titem[keyCumulative] = Number.parseFloat(prevValue.toString()) + value;\n\n\t\t\t\t// Total value by metric\n\t\t\t\tconst totalValue = arrTotalValue[metric.key] ? arrTotalValue[metric.key] : 0;\n\n\t\t\t\tarrTotalValue[metric.key] = totalValue + value;\n\t\t\t}\n\t\t} else {\n\t\t\t// Have breakdown dimension\n\t\t\tif (number < 1 && typeof row.dimension !== 'undefined' && row.dimension.length > 0) {\n\t\t\t\tconst arrDimension = row.dimension;\n\n\t\t\t\tif (dimensions.length > 0 && dimensions[0].dataType && arrDimension.length > 0) {\n\t\t\t\t\tif (['IMAGE', 'HYPERLINK'].includes(dimensions[0].dataType)) {\n\t\t\t\t\t\t('');\n\t\t\t\t\t\tarrDimensionName = arrDimension.reduce((arr, item) => {\n\t\t\t\t\t\t\tif (item.toString().indexOf('—')) {\n\t\t\t\t\t\t\t\tconst arrValues = Utils.helpers.formattedHyperlink(item.toString(), '—');\n\n\t\t\t\t\t\t\t\tif (arrValues.length > 0) {\n\t\t\t\t\t\t\t\t\tif (dimensions[0].dataType === 'IMAGE') {\n\t\t\t\t\t\t\t\t\t\treturn concat(arr, arrValues[0]);\n\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t\tif (dimensions[0].dataType === 'HYPERLINK') {\n\t\t\t\t\t\t\t\t\t\treturn concat(arr, arrValues[1]);\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\treturn concat(arr, item.toString());\n\t\t\t\t\t\t}, []);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tarrDimensionName = arrDimension.map((i) => i.toString());\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (arrDimensionName.length > 0) {\n\t\t\t\tarrDimensionName.forEach((name, index) => {\n\t\t\t\t\t'';\n\t\t\t\t\trenderMetric.forEach((metric, metricIndex) => {\n\t\t\t\t\t\tconst inputMaxLine =\n\t\t\t\t\t\t\tstyleAreaChart &&\n\t\t\t\t\t\t\t(styleAreaChart.numberOfSeries || styleAreaChart.numberOfSeries === 0)\n\t\t\t\t\t\t\t\t? styleAreaChart.numberOfSeries\n\t\t\t\t\t\t\t\t: MAX_LINE_PER_METRIC;\n\n\t\t\t\t\t\tconst maxLine = Math.min(inputMaxLine, MAX_LINE_PER_METRIC);\n\n\t\t\t\t\t\tconst isShowOther = styleAreaChart.showOther ? styleAreaChart.showOther : false;\n\n\t\t\t\t\t\tif (metric.name) {\n\t\t\t\t\t\t\tlet value = 0;\n\n\t\t\t\t\t\t\tconst isAggregation = true;\n\n\t\t\t\t\t\t\tif (isAggregation) {\n\t\t\t\t\t\t\t\tif (row.aggregations.length > 0) {\n\t\t\t\t\t\t\t\t\tconst aggregationItem = row.aggregations.find((aggregation) => {\n\t\t\t\t\t\t\t\t\t\treturn aggregation.name === metric.name;\n\t\t\t\t\t\t\t\t\t});\n\n\t\t\t\t\t\t\t\t\tvalue = toNumber(aggregationItem?.value[index]) || 0;\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t// else {\n\t\t\t\t\t\t\t// \tvalue = getObjectPropSafely(() => row['metrics'][metric.name][index]) || 0;\n\t\t\t\t\t\t\t// }\n\n\t\t\t\t\t\t\t// Check value diverging if have negative\n\t\t\t\t\t\t\tisPositive = isPositive && value >= 0;\n\n\t\t\t\t\t\t\tconst targetMetric =\n\t\t\t\t\t\t\t\t!!value &&\n\t\t\t\t\t\t\t\trenderMetric.find((item) => {\n\t\t\t\t\t\t\t\t\treturn item.name === metric.name;\n\t\t\t\t\t\t\t\t});\n\n\t\t\t\t\t\t\tif (targetMetric) {\n\t\t\t\t\t\t\t\tvalue = +Utils.helpers.convertValueFromDataType({\n\t\t\t\t\t\t\t\t\tvalue,\n\t\t\t\t\t\t\t\t\tfield: targetMetric,\n\t\t\t\t\t\t\t\t});\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\titem[`D${index}_${metric.key}`] = value || missingDataValue;\n\n\t\t\t\t\t\t\t// Collect data to show cumulative\n\t\t\t\t\t\t\tconst keyCumulative = `D${index}_${metric.key}_cumulative`;\n\n\t\t\t\t\t\t\tconst prevValue = arrData.at(rowIndex - 1)?.[keyCumulative] || 0;\n\n\t\t\t\t\t\t\titem[keyCumulative] = Number.parseFloat(prevValue.toString()) + value;\n\n\t\t\t\t\t\t\t// Collect data to show other with each selected metric\n\t\t\t\t\t\t\tif (!rowsShowOther[metricIndex]) {\n\t\t\t\t\t\t\t\trowsShowOther[metricIndex] = [];\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\tif (isShowOther && (index >= maxLine - 1 || index === arrDimensionName.length - 1)) {\n\t\t\t\t\t\t\t\tconst currentValue = rowsShowOther[metricIndex][rowIndex] || 0;\n\t\t\t\t\t\t\t\tconst normalValue = currentValue.normalValue || 0;\n\t\t\t\t\t\t\t\tconst negativeValue = currentValue.negativeValue || 0;\n\t\t\t\t\t\t\t\tconst positiveValue = currentValue.positiveValue || 0;\n\n\t\t\t\t\t\t\t\trowsShowOther[metricIndex][rowIndex] = {\n\t\t\t\t\t\t\t\t\tnormalValue: toNumber(normalValue) + value,\n\t\t\t\t\t\t\t\t\tnegativeValue: toNumber(negativeValue) + ((value < 0 && value) || 0),\n\t\t\t\t\t\t\t\t\tpositiveValue: toNumber(positiveValue) + ((value > 0 && value) || 0),\n\t\t\t\t\t\t\t\t};\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t// Total value by metric\n\t\t\t\t\t\t\tconst totalValue = arrTotalValue[metric.key] ? arrTotalValue[metric.key] : 0;\n\n\t\t\t\t\t\t\tarrTotalValue[metric.key] = totalValue + value;\n\n\t\t\t\t\t\t\t// Process for negative metric\n\t\t\t\t\t\t\titem[`D${index}_${metric.key}_positive`] = (value > 0 && value) || 0;\n\t\t\t\t\t\t\titem[`D${index}_${metric.key}_negative`] = (value < 0 && value) || 0;\n\n\t\t\t\t\t\t\tconst positiveKeyCumulative = `D${index}_${metric.key}_cumulative_positive`;\n\t\t\t\t\t\t\tconst prevPositiveValue = arrData.at(rowIndex - 1)?.[positiveKeyCumulative] || 0;\n\t\t\t\t\t\t\tconst negativeKeyCumulative = `D${index}_${metric.key}_cumulative_negative`;\n\t\t\t\t\t\t\tconst prevNegativeValue = arrData.at(rowIndex - 1)?.[negativeKeyCumulative] || 0;\n\n\t\t\t\t\t\t\titem[positiveKeyCumulative] =\n\t\t\t\t\t\t\t\ttoNumber(prevPositiveValue) + ((value > 0 && value) || 0);\n\n\t\t\t\t\t\t\titem[negativeKeyCumulative] =\n\t\t\t\t\t\t\t\ttoNumber(prevNegativeValue) + ((value < 0 && value) || 0);\n\n\t\t\t\t\t\t\tif (number < 1) {\n\t\t\t\t\t\t\t\tconst regex = `D[0-9]+_${metric.key}`;\n\n\t\t\t\t\t\t\t\tconst lineOfCurrentMetric = arrYAxis.filter((item) => {\n\t\t\t\t\t\t\t\t\treturn new RegExp(regex).test(item.key);\n\t\t\t\t\t\t\t\t});\n\n\t\t\t\t\t\t\t\tconst numberOfLines = lineOfCurrentMetric.length;\n\n\t\t\t\t\t\t\t\tconst targetDimension = dimensions.at(0);\n\n\t\t\t\t\t\t\t\tlet labelName = '';\n\n\t\t\t\t\t\t\t\tif (targetDimension) {\n\t\t\t\t\t\t\t\t\tlabelName = Utils.helpers\n\t\t\t\t\t\t\t\t\t\t.convertValueFromDataType({\n\t\t\t\t\t\t\t\t\t\t\tvalue: name,\n\t\t\t\t\t\t\t\t\t\t\tfield: targetDimension,\n\t\t\t\t\t\t\t\t\t\t})\n\t\t\t\t\t\t\t\t\t\t.toString();\n\n\t\t\t\t\t\t\t\t\tlabelName = Utils.helpers\n\t\t\t\t\t\t\t\t\t\t.formatValue({\n\t\t\t\t\t\t\t\t\t\t\tvalue: labelName,\n\t\t\t\t\t\t\t\t\t\t\tfield: targetDimension,\n\t\t\t\t\t\t\t\t\t\t})\n\t\t\t\t\t\t\t\t\t\t.toString();\n\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\tconst arrDimensionNameLength = arrDimensionName.length;\n\t\t\t\t\t\t\t\tconst maxAcceptIndex = Math.min(arrDimensionNameLength, maxLine);\n\n\t\t\t\t\t\t\t\tconst isShowLine =\n\t\t\t\t\t\t\t\t\tnumberOfLines <= MAX_LINE_PER_METRIC &&\n\t\t\t\t\t\t\t\t\tmaxAcceptIndex > 0 &&\n\t\t\t\t\t\t\t\t\t((!isShowOther && index < maxAcceptIndex) ||\n\t\t\t\t\t\t\t\t\t\t(isShowOther && (index < maxAcceptIndex - 1 || index === 0)));\n\n\t\t\t\t\t\t\t\tif (isShowLine) {\n\t\t\t\t\t\t\t\t\tarrYAxis.push({\n\t\t\t\t\t\t\t\t\t\tkey: `D${index}_${metric.key}`,\n\t\t\t\t\t\t\t\t\t\tname: `D${index}_${metric.name}`,\n\t\t\t\t\t\t\t\t\t\tlabel: labelName,\n\t\t\t\t\t\t\t\t\t\tisActive: true,\n\t\t\t\t\t\t\t\t\t\tyAxisId: '',\n\t\t\t\t\t\t\t\t\t\tcolor: '',\n\t\t\t\t\t\t\t\t\t});\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\n\t\tconst currentDimension = timeDimensions.at(0);\n\n\t\tif (range === 'rangeByData') {\n\t\t\tconst arrKey = arrYAxis.map((yAxis) => yAxis.key);\n\t\t\tconst checkData = arrKey.some((key) => item[key] !== 0);\n\n\t\t\tif (checkData) {\n\t\t\t\titem.time = row.time;\n\n\t\t\t\tif (currentDimension) {\n\t\t\t\t\titem.time = Utils.helpers\n\t\t\t\t\t\t.formatValue({\n\t\t\t\t\t\t\tvalue: row.time,\n\t\t\t\t\t\t\tfield: currentDimension,\n\t\t\t\t\t\t})\n\t\t\t\t\t\t.toString();\n\t\t\t\t}\n\n\t\t\t\tarrData.push(item);\n\t\t\t}\n\t\t} else {\n\t\t\titem.time = row.time;\n\n\t\t\tif (currentDimension) {\n\t\t\t\titem.time = Utils.helpers\n\t\t\t\t\t.formatValue({\n\t\t\t\t\t\tvalue: row.time,\n\t\t\t\t\t\tfield: currentDimension,\n\t\t\t\t\t})\n\t\t\t\t\t.toString();\n\t\t\t}\n\n\t\t\tarrData.push(item);\n\t\t}\n\n\t\tnumber++;\n\t});\n\n\t// ---- Show other: Add axis and data\n\tif (renderMetric.length > 0 && dimensions.length > 0) {\n\t\trenderMetric.forEach((metric, metricIndex) => {\n\t\t\tconst mappingKey = `D00${metricIndex}_${metric.key}`;\n\t\t\tconst isShowOther = styleAreaChart.showOther;\n\t\t\tconst numberOfLines = styleAreaChart.numberOfSeries || MAX_LINE_PER_METRIC;\n\n\t\t\tif (isShowOther && numberOfLines > 1 && arrDimensionName && arrDimensionName.length > 1) {\n\t\t\t\tarrYAxis.push({\n\t\t\t\t\tlabel: 'Other',\n\t\t\t\t\tkey: mappingKey,\n\t\t\t\t\tname: `D00${metricIndex}_${metric.name}`,\n\t\t\t\t\tisActive: true,\n\t\t\t\t\tshowOtherInfo: { index: metricIndex },\n\t\t\t\t\tcolor: '',\n\t\t\t\t\tyAxisId: '',\n\t\t\t\t});\n\n\t\t\t\tlet normalCumulative = 0;\n\t\t\t\tlet negativeCumulative = 0;\n\t\t\t\tlet positiveCumulative = 0;\n\n\t\t\t\tarrData = arrData.map((row, index) => {\n\t\t\t\t\tconst valueInShowOther = rowsShowOther[metricIndex][index] || 0;\n\t\t\t\t\tconst normalValue = valueInShowOther.normalValue || 0;\n\t\t\t\t\tconst negativeValue = valueInShowOther.negativeValue || 0;\n\t\t\t\t\tconst positiveValue = valueInShowOther.positiveValue || 0;\n\n\t\t\t\t\tnormalCumulative += normalValue;\n\t\t\t\t\tnegativeCumulative += negativeValue;\n\t\t\t\t\tpositiveCumulative += positiveValue;\n\n\t\t\t\t\treturn {\n\t\t\t\t\t\t...row,\n\t\t\t\t\t\t[mappingKey]: normalValue,\n\t\t\t\t\t\t[`${mappingKey}_negative`]: negativeValue,\n\t\t\t\t\t\t[`${mappingKey}_positive`]: positiveValue,\n\t\t\t\t\t\t[`${mappingKey}_cumulative`]: normalCumulative,\n\t\t\t\t\t\t[`${mappingKey}_cumulative_negative`]: negativeCumulative,\n\t\t\t\t\t\t[`${mappingKey}_cumulative_positive`]: positiveCumulative,\n\t\t\t\t\t};\n\t\t\t\t});\n\t\t\t}\n\t\t});\n\t}\n\n\t// ---- Build coordinateAxis, build never has right\n\n\tconst coordinateAxis: Record = {};\n\n\tif (!isEmpty(arrTotalValue)) {\n\t\tlet minValue = 0;\n\t\tlet maxValue = 0;\n\n\t\tfor (const metric in arrTotalValue) {\n\t\t\tif (arrTotalValue[metric]) {\n\t\t\t\tif (!minValue) {\n\t\t\t\t\tminValue = arrTotalValue[metric];\n\t\t\t\t} else if (minValue > arrTotalValue[metric]) {\n\t\t\t\t\tminValue = arrTotalValue[metric];\n\t\t\t\t}\n\n\t\t\t\tif (maxValue < arrTotalValue[metric]) {\n\t\t\t\t\tmaxValue = arrTotalValue[metric];\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif (minValue !== maxValue) {\n\t\t\tlet position = 0;\n\t\t\tlet hasStackedBarOnRight = false;\n\n\t\t\tfor (const metric in arrTotalValue) {\n\t\t\t\tif (arrTotalValue[metric]) {\n\t\t\t\t\tconst chartType = columns[position].chartType ? columns[position].chartType : 'line';\n\n\t\t\t\t\t// Min < 1tr and max > 1tr\n\t\t\t\t\tif (minValue < 10 ** 6 && maxValue > 10 ** 6) {\n\t\t\t\t\t\tif (arrTotalValue[metric] < 10 ** 6) {\n\t\t\t\t\t\t\t// Left coordinate axis\n\t\t\t\t\t\t\tcoordinateAxis[metric] = 'left';\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t// Right coordinate axis\n\t\t\t\t\t\t\tcoordinateAxis[metric] = 'right';\n\n\t\t\t\t\t\t\tif (!hasStackedBarOnRight && chartType === 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