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Verified Commit 8ae66941 authored by Ezekiel Kigbo's avatar Ezekiel Kigbo :two: Committed by GitLab
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Merge branch '454637-follow-up-from-add-utils-and-constants-for-the-ai-impact-dashboard' into 'master' 

Minor AI impact utils improvements

See merge request !148734



Merged-by: default avatarEzekiel Kigbo <3397881-ekigbo@users.noreply.gitlab.com>
Approved-by: default avatarDiana Zubova <dzubova@gitlab.com>
Approved-by: default avatarAlex Pennells <apennells@gitlab.com>
Reviewed-by: default avatarEzekiel Kigbo <3397881-ekigbo@users.noreply.gitlab.com>
Reviewed-by: default avatarAlex Pennells <apennells@gitlab.com>
Co-authored-by: default avatarEzekiel Kigbo <ekigbo@gitlab.com>
parents fe99bb18 201af645
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      #1256131075

        +2
        ......@@ -243,7 +243,7 @@ export const METRIC_TOOLTIPS = {
        },
        [AI_METRICS.CODE_SUGGESTIONS_USAGE_RATE]: {
        description: s__(
        'ValueStreamAnalytics|Monthly user engagement with AI Code Suggestions. Percentage ratio calculated as monthly unique Code Suggestions users / total monthly unique code contributors.',
        'AiImpactAnalytics|Monthly user engagement with AI Code Suggestions. Percentage ratio calculated as monthly unique Code Suggestions users / total monthly unique code contributors.',
        ),
        groupLink: '',
        projectLink: '',
        ......
        ......@@ -18,7 +18,7 @@ import {
        generateTableRows,
        } from '../utils';
        import {
        TABLE_METRICS,
        AI_IMPACT_TABLE_METRICS,
        SUPPORTED_DORA_METRICS,
        SUPPORTED_FLOW_METRICS,
        SUPPORTED_VULNERABILITY_METRICS,
        ......@@ -99,7 +99,7 @@ export default {
        // Return an array of the failed metric IDs
        return result
        .reduce((acc, { reason = [] }) => acc.concat(reason), [])
        .map((metric) => TABLE_METRICS[metric].label);
        .map((metric) => AI_IMPACT_TABLE_METRICS[metric].label);
        },
        async fetchTableMetrics({ metrics, queryFn }) {
        ......
        ......@@ -20,14 +20,14 @@ export const SUPPORTED_VULNERABILITY_METRICS = [VULNERABILITY_METRICS.CRITICAL];
        export const SUPPORTED_AI_METRICS = [AI_METRICS.CODE_SUGGESTIONS_USAGE_RATE];
        export const TABLE_METRICS = {
        export const AI_IMPACT_TABLE_METRICS = {
        ...pick(VSD_TABLE_METRICS, [
        ...SUPPORTED_FLOW_METRICS,
        ...SUPPORTED_DORA_METRICS,
        ...SUPPORTED_VULNERABILITY_METRICS,
        ]),
        [AI_METRICS.CODE_SUGGESTIONS_USAGE_RATE]: {
        label: s__('DORA4Metrics|Code Suggestions usage'),
        label: s__('AiImpactAnalytics|Code Suggestions usage'),
        units: UNITS.PERCENT,
        },
        };
        ......@@ -7,10 +7,10 @@ import {
        nSecondsBefore,
        } from '~/lib/utils/datetime_utility';
        import { formatMetric, percentChange, isMetricInTimePeriods } from '../utils';
        import { TABLE_METRICS } from './constants';
        import { AI_IMPACT_TABLE_METRICS } from './constants';
        const getStartOfMonth = (now) => dateAtFirstDayOfMonth(getStartOfDay(now));
        const getColumnKeyForMonth = (monthsAgo) => `${monthsAgo}-months-ago`;
        const getStartOfMonth = (now) => dateAtFirstDayOfMonth(getStartOfDay(now));
        /**
        * Generates the time period columns, from This month -> 5 months ago.
        ......@@ -76,7 +76,7 @@ export const generateTableColumns = (now) => [
        * @returns {Array} array of data-less table rows
        */
        export const generateSkeletonTableData = () =>
        Object.entries(TABLE_METRICS).map(([identifier, { label, invertTrendColor }]) => ({
        Object.entries(AI_IMPACT_TABLE_METRICS).map(([identifier, { label, invertTrendColor }]) => ({
        metric: { identifier, value: label },
        invertTrendColor,
        }));
        ......@@ -118,7 +118,7 @@ const buildTableRow = ({ identifier, units, timePeriods }) => {
        * @returns {Object} object containing the same data, formatted for the table
        */
        export const generateTableRows = (timePeriods) =>
        Object.entries(TABLE_METRICS).reduce((acc, [identifier, { units }]) => {
        Object.entries(AI_IMPACT_TABLE_METRICS).reduce((acc, [identifier, { units }]) => {
        if (!isMetricInTimePeriods(identifier, timePeriods)) return acc;
        return Object.assign(acc, {
        ......
        ......@@ -4,7 +4,7 @@ import { joinPaths, mergeUrlParams } from '~/lib/utils/url_utility';
        import { METRIC_TOOLTIPS } from '~/analytics/shared/constants';
        import { s__ } from '~/locale';
        import { TABLE_METRICS } from '../constants';
        import { TABLE_METRICS as AI_IMPACT_TABLE_METRICS } from '../ai_impact/constants';
        import { AI_IMPACT_TABLE_METRICS } from '../ai_impact/constants';
        export default {
        name: 'MetricTableCell',
        ......
        ......@@ -4654,6 +4654,12 @@ msgstr ""
        msgid "AiAnalytics|the ClickHouse data store is not available"
        msgstr ""
         
        msgid "AiImpactAnalytics|Code Suggestions usage"
        msgstr ""
        msgid "AiImpactAnalytics|Monthly user engagement with AI Code Suggestions. Percentage ratio calculated as monthly unique Code Suggestions users / total monthly unique code contributors."
        msgstr ""
        msgid "Akismet"
        msgstr ""
         
        ......@@ -15976,9 +15982,6 @@ msgstr ""
        msgid "DORA4Metrics|Change failure rate (percentage)"
        msgstr ""
         
        msgid "DORA4Metrics|Code Suggestions usage"
        msgstr ""
        msgid "DORA4Metrics|Contributor count"
        msgstr ""
         
        ......@@ -56230,9 +56233,6 @@ msgstr ""
        msgid "ValueStreamAnalytics|Merge request analytics"
        msgstr ""
         
        msgid "ValueStreamAnalytics|Monthly user engagement with AI Code Suggestions. Percentage ratio calculated as monthly unique Code Suggestions users / total monthly unique code contributors."
        msgstr ""
        msgid "ValueStreamAnalytics|New Value Stream"
        msgstr ""
         
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