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- import { forEach, get, round } from "lodash";
- import { costMetricToPropName } from "./cloudCost/tokens";
- // rangeToCumulative takes an AllocationSetRange (type: array[AllocationSet])
- // and accumulates the values into a single AllocationSet (type: object)
- export function rangeToCumulative(allocationSetRange, aggregateBy) {
- if (allocationSetRange.length === 0) {
- return null;
- }
- const result = {};
- forEach(allocationSetRange, (allocSet) => {
- forEach(allocSet, (alloc) => {
- if (result[alloc.name] === undefined) {
- const hrs = get(alloc, "minutes", 0) / 60.0;
- result[alloc.name] = {
- name: alloc.name,
- [aggregateBy]: alloc.name,
- cpuCost: get(alloc, "cpuCost", 0),
- gpuCost: get(alloc, "gpuCost", 0),
- ramCost: get(alloc, "ramCost", 0),
- pvCost: get(alloc, "pvCost", 0),
- networkCost: get(alloc, "networkCost", 0),
- sharedCost: get(alloc, "sharedCost", 0),
- externalCost: get(alloc, "externalCost", 0),
- totalCost: get(alloc, "totalCost", 0),
- cpuUseCoreHrs: get(alloc, "cpuCoreUsageAverage", 0) * hrs,
- cpuReqCoreHrs: get(alloc, "cpuCoreRequestAverage", 0) * hrs,
- ramUseByteHrs: get(alloc, "ramByteUsageAverage", 0) * hrs,
- ramReqByteHrs: get(alloc, "ramByteRequestAverage", 0) * hrs,
- cpuEfficiency: get(alloc, "cpuEfficiency", 0),
- ramEfficiency: get(alloc, "ramEfficiency", 0),
- totalEfficiency: get(alloc, "totalEfficiency", 0),
- };
- } else {
- const hrs = get(alloc, "minutes", 0) / 60.0;
- result[alloc.name].cpuCost += get(alloc, "cpuCost", 0);
- result[alloc.name].gpuCost += get(alloc, "gpuCost", 0);
- result[alloc.name].ramCost += get(alloc, "ramCost", 0);
- result[alloc.name].pvCost += get(alloc, "pvCost", 0);
- result[alloc.name].networkCost += get(alloc, "networkCost", 0);
- result[alloc.name].sharedCost += get(alloc, "sharedCost", 0);
- result[alloc.name].externalCost += get(alloc, "externalCost", 0);
- result[alloc.name].totalCost += get(alloc, "totalCost", 0);
- result[alloc.name].cpuUseCoreHrs +=
- get(alloc, "cpuCoreUsageAverage", 0) * hrs;
- result[alloc.name].cpuReqCoreHrs +=
- get(alloc, "cpuCoreRequestAverage", 0) * hrs;
- result[alloc.name].ramUseByteHrs +=
- get(alloc, "ramByteUsageAverage", 0) * hrs;
- result[alloc.name].ramReqByteHrs +=
- get(alloc, "ramByteRequestAverage", 0) * hrs;
- }
- });
- });
- // If the range is of length > 1 (i.e. it is not just a single set) then
- // compute efficiency for each result after accumulating.
- if (allocationSetRange.length > 1) {
- forEach(result, (alloc, name) => {
- // If we can't compute total efficiency, it defaults to 0.0
- let totalEfficiency = 0.0;
- // CPU efficiency is defined as (usage/request). If request == 0.0 but
- // usage > 0, then efficiency gets set to 1.0.
- let cpuEfficiency = 0.0;
- if (alloc.cpuReqCoreHrs > 0) {
- cpuEfficiency = alloc.cpuUseCoreHrs / alloc.cpuReqCoreHrs;
- } else if (alloc.cpuUseCoreHrs > 0) {
- cpuEfficiency = 1.0;
- }
- // RAM efficiency is defined as (usage/request). If request == 0.0 but
- // usage > 0, then efficiency gets set to 1.0.
- let ramEfficiency = 0.0;
- if (alloc.ramReqByteHrs > 0) {
- ramEfficiency = alloc.ramUseByteHrs / alloc.ramReqByteHrs;
- } else if (alloc.ramUseByteHrs > 0) {
- ramEfficiency = 1.0;
- }
- // Compute efficiency as the cost-weighted average of CPU and RAM
- // efficiency
- if (alloc.cpuCost + alloc.ramCost > 0.0) {
- totalEfficiency =
- (alloc.cpuCost * cpuEfficiency + alloc.ramCost * ramEfficiency) /
- (alloc.cpuCost + alloc.ramCost);
- }
- result[name].cpuEfficiency = cpuEfficiency;
- result[name].ramEfficiency = ramEfficiency;
- result[name].totalEfficiency = totalEfficiency;
- });
- }
- return result;
- }
- // cumulativeToTotals adds each entry in the given AllocationSet (type: object)
- // and returns a single Allocation (type: object) representing the totals
- export function cumulativeToTotals(allocationSet) {
- let totals = {
- name: "Totals",
- cpuCost: 0,
- gpuCost: 0,
- ramCost: 0,
- pvCost: 0,
- networkCost: 0,
- sharedCost: 0,
- externalCost: 0,
- totalCost: 0,
- cpuEfficiency: 0,
- ramEfficiency: 0,
- totalEfficiency: 0,
- };
- // Use these for computing efficiency. As such, idle will not factor into
- // these numbers, including CPU and RAM cost.
- let cpuReqCoreHrs = 0;
- let cpuUseCoreHrs = 0;
- let ramReqByteHrs = 0;
- let ramUseByteHrs = 0;
- let cpuCost = 0;
- let ramCost = 0;
- forEach(allocationSet, (alloc, name) => {
- // Accumulate efficiency-related fields
- if (name !== "__idle__") {
- cpuReqCoreHrs += get(alloc, "cpuReqCoreHrs", 0.0);
- cpuUseCoreHrs += get(alloc, "cpuUseCoreHrs", 0.0);
- ramReqByteHrs += get(alloc, "ramReqByteHrs", 0.0);
- ramUseByteHrs += get(alloc, "ramUseByteHrs", 0.0);
- cpuCost += get(alloc, "cpuCost", 0.0);
- ramCost += get(alloc, "ramCost", 0.0);
- }
- // Sum cumulative fields
- totals.cpuCost += get(alloc, "cpuCost", 0);
- totals.gpuCost += get(alloc, "gpuCost", 0);
- totals.ramCost += get(alloc, "ramCost", 0);
- totals.pvCost += get(alloc, "pvCost", 0);
- totals.networkCost += get(alloc, "networkCost", 0);
- totals.sharedCost += get(alloc, "sharedCost", 0);
- totals.externalCost += get(alloc, "externalCost", 0);
- totals.totalCost += get(alloc, "totalCost", 0);
- });
- // Compute efficiency
- if (cpuReqCoreHrs > 0) {
- totals.cpuEfficiency = cpuUseCoreHrs / cpuReqCoreHrs;
- } else if (cpuUseCoreHrs > 0) {
- totals.cpuEfficiency = 1.0;
- }
- if (ramReqByteHrs > 0) {
- totals.ramEfficiency = ramUseByteHrs / ramReqByteHrs;
- } else if (ramUseByteHrs > 0) {
- totals.ramEfficiency = 1.0;
- }
- if (cpuCost + ramCost > 0) {
- totals.totalEfficiency =
- (cpuCost * totals.cpuEfficiency + ramCost * totals.ramEfficiency) /
- (cpuCost + ramCost);
- }
- totals.cpuReqCoreHrs = cpuReqCoreHrs;
- totals.cpuUseCoreHrs = cpuUseCoreHrs;
- totals.ramReqByteHrs = ramReqByteHrs;
- totals.ramUseByteHrs = ramUseByteHrs;
- return totals;
- }
- export function toVerboseTimeRange(window) {
- const months = [
- "January",
- "February",
- "March",
- "April",
- "May",
- "June",
- "July",
- "August",
- "September",
- "October",
- "November",
- "December",
- ];
- const start = new Date();
- start.setUTCHours(0, 0, 0, 0);
- const end = new Date();
- end.setUTCHours(0, 0, 0, 0);
- switch (window) {
- case "today":
- return `${start.getUTCDate()} ${
- months[start.getUTCMonth()]
- } ${start.getUTCFullYear()}`;
- case "yesterday":
- start.setUTCDate(start.getUTCDate() - 1);
- return `${start.getUTCDate()} ${
- months[start.getUTCMonth()]
- } ${start.getUTCFullYear()}`;
- case "week":
- start.setUTCDate(start.getUTCDate() - start.getUTCDay());
- return `${start.getUTCDate()} ${
- months[start.getUTCMonth()]
- } ${start.getUTCFullYear()} until now`;
- case "month":
- start.setUTCDate(1);
- return `${start.getUTCDate()} ${
- months[start.getUTCMonth()]
- } ${start.getUTCFullYear()} until now`;
- case "lastweek":
- start.setUTCDate(start.getUTCDate() - (start.getUTCDay() + 7));
- end.setUTCDate(end.getUTCDate() - (end.getUTCDay() + 1));
- return `${start.getUTCDate()} ${
- months[start.getUTCMonth()]
- } ${start.getUTCFullYear()} through ${end.getUTCDate()} ${
- months[end.getUTCMonth()]
- } ${end.getUTCFullYear()}`;
- case "lastmonth":
- end.setUTCDate(1);
- end.setUTCDate(end.getUTCDate() - 1);
- start.setUTCDate(1);
- start.setUTCDate(start.getUTCDate() - 1);
- start.setUTCDate(1);
- return `${start.getUTCDate()} ${
- months[start.getUTCMonth()]
- } ${start.getUTCFullYear()} through ${end.getUTCDate()} ${
- months[end.getUTCMonth()]
- } ${end.getUTCFullYear()}`;
- case "6d":
- start.setUTCDate(start.getUTCDate() - 6);
- return `${start.getUTCDate()} ${
- months[start.getUTCMonth()]
- } ${start.getUTCFullYear()} through now`;
- case "29d":
- start.setUTCDate(start.getUTCDate() - 29);
- return `${start.getUTCDate()} ${
- months[start.getUTCMonth()]
- } ${start.getUTCFullYear()} through now`;
- case "59d":
- start.setUTCDate(start.getUTCDate() - 59);
- return `${start.getUTCDate()} ${
- months[start.getUTCMonth()]
- } ${start.getUTCFullYear()} through now`;
- case "89d":
- start.setUTCDate(start.getUTCDate() - 89);
- return `${start.getUTCDate()} ${
- months[start.getUTCMonth()]
- } ${start.getUTCFullYear()} through now`;
- }
- const splitDates = window.split(",");
- if (checkCustomWindow(window) && splitDates.length > 1) {
- let s = splitDates[0].split(/\D+/).slice(0, 3);
- let e = splitDates[1].split(/\D+/).slice(0, 3);
- if (s.length === 3 && e.length === 3) {
- start.setUTCFullYear(s[0], s[1] - 1, s[2]);
- end.setUTCFullYear(e[0], e[1] - 1, e[2]);
- if (start === end) {
- return `${start.getUTCDate()} ${
- months[start.getUTCMonth()]
- } ${start.getUTCFullYear()}`;
- } else {
- return `${start.getUTCDate()} ${
- months[start.getUTCMonth()]
- } ${start.getUTCFullYear()} through ${end.getUTCDate()} ${
- months[end.getUTCMonth()]
- } ${end.getUTCFullYear()}`;
- }
- }
- }
- return null;
- }
- export function bytesToString(bytes) {
- const ei = Math.pow(1024, 6);
- if (bytes >= ei) {
- return `${round(bytes / ei, 1)} EiB`;
- }
- const pi = Math.pow(1024, 5);
- if (bytes >= pi) {
- return `${round(bytes / pi, 1)} PiB`;
- }
- const ti = Math.pow(1024, 4);
- if (bytes >= ti) {
- return `${round(bytes / ti, 1)} TiB`;
- }
- const gi = Math.pow(1024, 3);
- if (bytes >= gi) {
- return `${round(bytes / gi, 1)} GiB`;
- }
- const mi = Math.pow(1024, 2);
- if (bytes >= mi) {
- return `${round(bytes / mi, 1)} MiB`;
- }
- const ki = Math.pow(1024, 1);
- if (bytes >= ki) {
- return `${round(bytes / ki, 1)} KiB`;
- }
- return `${round(bytes, 1)} B`;
- }
- const currencyLocale = "en-US";
- export function toCurrency(amount, currency, precision) {
- if (typeof amount !== "number") {
- console.warn(
- `Tried to convert "${amount}" to currency, but it is not a number`
- );
- return "";
- }
- if (currency === undefined || currency === "") {
- currency = "USD";
- }
- const opts = {
- style: "currency",
- currency: currency,
- };
- if (typeof precision === "number") {
- opts.minimumFractionDigits = precision;
- opts.maximumFractionDigits = precision;
- }
- return amount.toLocaleString(currencyLocale, opts);
- }
- export function checkCustomWindow(window) {
- // Example ISO interval string: 2020-12-02T00:00:00Z,2020-12-03T23:59:59Z
- const customDateRegex =
- /\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}Z,\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}Z/;
- return customDateRegex.test(window);
- }
- export function getCloudFilters(filters) {
- const filterNamesMap = {
- "invoice entity": "filterInvoiceEntityIDs",
- provider: "filterProviders",
- providerids: "filterProviderIDs",
- service: "filterServices",
- account: "filterAccountIDs",
- };
- const params = new URLSearchParams();
- const labelFilters = [];
- for (let filter of filters) {
- const mapped = filterNamesMap[filter.property.toLowerCase()];
- if (mapped) {
- params.set(mapped, filter.value);
- } else if (filter.property === "Labels") {
- labelFilters.push(filter.value);
- } else if (filter.property.startsWith(":")) {
- labelFilters.push(`${filter.property.slice(6)}:${filter.value}`);
- }
- }
- if (labelFilters.length) {
- params.set("filterLabels", labelFilters.join(","));
- }
- return `&${params.toString()}`;
- }
- export function formatSampleItemsForGraph({ data, costMetric }) {
- const costMetricPropName = costMetric
- ? costMetricToPropName[costMetric]
- : "amortizedNetCost";
- const graphData = data.sets.map(({ cloudCosts, window: { end, start } }) => {
- return {
- end,
- items: Object.entries(cloudCosts).map(([name, item]) => ({
- name,
- value: item.netCost.cost,
- })),
- start,
- };
- });
- const accumulator = {};
- data.sets.forEach(({ cloudCosts, window }) => {
- Object.entries(cloudCosts).forEach(([name, cloudCostItem]) => {
- const { properties } = cloudCostItem;
- accumulator[name] ||= {
- cost: 0,
- start: "",
- end: "",
- providerID: "",
- labelName: "",
- kubernetesCost: 0,
- kubernetesPercent: 0,
- };
- accumulator[name].cost += cloudCostItem[costMetricPropName].cost;
- accumulator[name].kubernetesCost +=
- cloudCostItem[costMetricPropName].cost *
- cloudCostItem[costMetricPropName].kubernetesPercent;
- accumulator[name].start = window.start;
- accumulator[name].end = window.end;
- accumulator[name].providerID = properties.providerID;
- accumulator[name].labelName = properties.labels?.name;
- accumulator[name].kubernetesPercent =
- cloudCostItem[costMetricPropName].kubernetesPercent;
- });
- });
- const tableRows = Object.entries(accumulator).map(
- ([
- name,
- {
- cost,
- start,
- end,
- providerID,
- kubernetesCost,
- kubernetesPercent,
- labelName,
- },
- ]) => ({
- cost,
- name,
- kubernetesCost,
- kubernetesPercent,
- start,
- end,
- providerID,
- labelName,
- })
- );
- const tableTotal = tableRows.reduce(
- (tr1, tr2) => ({
- ...tr1,
- cost: tr1.cost + tr2.cost,
- kubernetesCost: tr1.kubernetesCost + tr2.kubernetesCost,
- }),
- {
- cost: 0,
- name: "",
- kubernetesCost: 0,
- kubernetesPercent: 0,
- end: "",
- start: "",
- labelName: "",
- providerID: "",
- }
- );
- return { graphData, tableRows, tableTotal };
- }
- export default {
- rangeToCumulative,
- cumulativeToTotals,
- toVerboseTimeRange,
- bytesToString,
- toCurrency,
- checkCustomWindow,
- };
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