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feat: support isEmptyValue flag for metrics query (#256)
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@ -22,6 +22,7 @@ export enum MetricQueryTypes {
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READHEATMAP = "readHeatMap",
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ReadSampledRecords = "readSampledRecords",
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ReadRecords = "readRecords",
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ReadNullableMetricsValue = "readNullableMetricsValue",
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}
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export enum Calculations {
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@ -70,10 +71,14 @@ export const RespFields: Indexable = {
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readMetricsValues: `{
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label
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values {
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values {value}
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values {value isEmptyValue}
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}
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}`,
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readMetricsValue: "",
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readMetricsValue: ``,
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readNullableMetricsValue: `{
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value
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isEmptyValue
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}`,
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sortMetrics: `{
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name
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id
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@ -83,7 +88,7 @@ export const RespFields: Indexable = {
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readLabeledMetricsValues: `{
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label
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values {
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values {value}
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values {value isEmptyValue}
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}
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}`,
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readHeatMap: `{
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@ -114,9 +114,10 @@ export function useQueryProcessor(config: Indexable) {
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}
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if (metricType === MetricQueryTypes.ReadLabeledMetricsValues) {
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return `${name}${index}: ${metricType}(condition: $condition${index}, labels: $labels${index}, duration: $duration)${RespFields[metricType]}`;
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} else {
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return `${name}${index}: ${metricType}(condition: $condition${index}, duration: $duration)${RespFields[metricType]}`;
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}
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const t = metricType === MetricQueryTypes.ReadMetricsValue ? MetricQueryTypes.ReadNullableMetricsValue : metricType;
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return `${name}${index}: ${t}(condition: $condition${index}, duration: $duration)${RespFields[t]}`;
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});
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const queryStr = `query queryData(${variables}) {${fragment}}`;
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@ -156,7 +157,9 @@ export function useSourceProcessor(
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const labels = (c.label || "").split(",").map((item: string) => item.replace(/^\s*|\s*$/g, ""));
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const labelsIdx = (c.labelsIndex || "").split(",").map((item: string) => item.replace(/^\s*|\s*$/g, ""));
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for (const item of resVal) {
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const values = item.values.values.map((d: { value: number }) => aggregation(Number(d.value), c));
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const values = item.values.values.map((d: { value: number; isEmptyValue: boolean }) =>
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d.isEmptyValue ? NaN : aggregation(Number(d.value), c),
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);
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const indexNum = labelsIdx.findIndex((d: string) => d === item.label);
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if (labels[indexNum] && indexNum > -1) {
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source[labels[indexNum]] = values;
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@ -166,7 +169,8 @@ export function useSourceProcessor(
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}
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}
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if (type === MetricQueryTypes.ReadMetricsValue) {
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source[m] = aggregation(Number(Object.values(resp.data)[0]), c);
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const v = Object.values(resp.data)[0] || {};
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source[m] = v.isEmptyValue ? NaN : aggregation(Number(v.value), c);
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}
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if (
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(
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@ -250,7 +254,9 @@ export function useQueryPodsMetrics(
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const labels = (c.labelsIndex || "").split(",").map((item: string) => item.replace(/^\s*|\s*$/g, ""));
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conditions[`labels${index}${idx}`] = labels;
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}
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return `${name}${index}${idx}: ${metricType}(condition: $condition${index}${idx}, ${labelStr}duration: $duration)${RespFields[metricType]}`;
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const t =
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metricType === MetricQueryTypes.ReadMetricsValue ? MetricQueryTypes.ReadNullableMetricsValue : metricType;
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return `${name}${index}${idx}: ${t}(condition: $condition${index}${idx}, ${labelStr}duration: $duration)${RespFields[t]}`;
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});
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return f;
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});
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@ -281,7 +287,8 @@ export function usePodsSource(
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const c: any = (config.metricConfig && config.metricConfig[index]) || {};
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const key = name + idx + index;
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if (config.metricTypes[index] === MetricQueryTypes.ReadMetricsValue) {
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d[name] = aggregation(resp.data[key], c);
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const v = resp.data[key];
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d[name] = v.isEmptyValue ? NaN : aggregation(v.value, c);
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if (idx === 0) {
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names.push(name);
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metricConfigArr.push(c);
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@ -293,7 +300,9 @@ export function usePodsSource(
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if ([Calculations.Average, Calculations.ApdexAvg, Calculations.PercentageAvg].includes(c.calculation)) {
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d[name]["avg"] = calculateExp(resp.data[key].values.values, c);
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}
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d[name]["values"] = resp.data[key].values.values.map((val: { value: number }) => aggregation(val.value, c));
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d[name]["values"] = resp.data[key].values.values.map((val: { value: number; isEmptyValue: boolean }) =>
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val.isEmptyValue ? NaN : aggregation(val.value, c),
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);
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if (idx === 0) {
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names.push(name);
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metricConfigArr.push(c);
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@ -306,7 +315,9 @@ export function usePodsSource(
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const labelsIdx = (c.labelsIndex || "").split(",").map((item: string) => item.replace(/^\s*|\s*$/g, ""));
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for (let i = 0; i < resVal.length; i++) {
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const item = resVal[i];
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const values = item.values.values.map((d: { value: number }) => aggregation(Number(d.value), c));
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const values = item.values.values.map((d: { value: number; isEmptyValue: boolean }) =>
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d.isEmptyValue ? NaN : aggregation(Number(d.value), c),
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);
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const indexNum = labelsIdx.findIndex((d: string) => d === item.label);
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let key = item.label;
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if (labels[indexNum] && indexNum > -1) {
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@ -356,8 +367,12 @@ export function useQueryTopologyMetrics(metrics: string[], ids: string[]) {
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return { queryStr, conditions };
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}
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function calculateExp(arr: { value: number }[], config: { calculation?: string }): (number | string)[] {
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const sum = arr.map((d: { value: number }) => d.value).reduce((a, b) => a + b);
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function calculateExp(
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list: { value: number; isEmptyValue: boolean }[],
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config: { calculation?: string },
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): (number | string)[] {
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const arr = list.filter((d: { value: number; isEmptyValue: boolean }) => !d.isEmptyValue);
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const sum = arr.length ? arr.map((d: { value: number }) => d.value).reduce((a, b) => a + b) : 0;
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let data: (number | string)[] = [];
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switch (config.calculation) {
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case Calculations.Average:
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@ -370,7 +385,9 @@ function calculateExp(arr: { value: number }[], config: { calculation?: string }
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data = [(sum / arr.length / 10000).toFixed(2)];
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break;
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default:
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data = arr.map((d) => aggregation(d.value, config));
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data = list.map((d: { value: number; isEmptyValue: boolean }) =>
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d.isEmptyValue ? NaN : aggregation(d.value, config),
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);
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break;
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}
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return data;
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