forked from github/plane
chore: update analytics x-axis, tooltip and table heading values (#1040)
* chore: global bar graph component * chore: global pie graph component * chore: global line graph component * chore: removed unnecessary file * chore: refactored global chart components to accept all props * chore: function to convert response to chart data * chore: global calendar graph component added * chore: global scatter plot graph component * feat: analytics boilerplate created * chore: null value for segment and project * chore: clean up file * chore: change project query param key * chore: export, refresh buttons, analytics table * fix: analytics fetch key error * chore: show only integer values in the y-axis * chore: custom x-axis tick values and bar colors * refactor: divide analytics page into granular components * chore: convert analytics page to modal, save analytics modal * fix: build error * fix: modal overflow issues, analytics loading screen * chore: custom tooltip, refactor: graphs folder structure * refactor: folder structure, chore: x-axis tick values for larger data * chore: code cleanup * chore: remove unnecessary files * fix: refresh analytics button on error * feat: scope and demand analytics * refactor: scope and demand and custom analytics folder structure * fix: dynamic import type * chore: minor updates * feat: project, cycle and module level analytics * style: project analytics modal * fix: merge conflicts * style: new scope and demand ui, user avatars in bar graph * fix: default analytics types * chore: new values when dimensioned by date * chore: update table and tooltip content when dimensioned or segmented by dates
This commit is contained in:
Aaryan Khandelwal
GitHub
parent
512b8c104d
commit
37bb183bf0
@ -17,8 +17,8 @@ import {
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} from "components/analytics";
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// ui
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import { Loader, PrimaryButton } from "components/ui";
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// types
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import { convertResponseToBarGraphData } from "constants/analytics";
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// helpers
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import { convertResponseToBarGraphData } from "helpers/analytics.helper";
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// types
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import { IAnalyticsParams } from "types";
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// fetch-keys
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@ -63,11 +63,7 @@ export const CustomAnalytics: React.FC<Props> = ({ isProjectLevel = false, fullS
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);
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const yAxisKey = params.y_axis === "issue_count" ? "count" : "effort";
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const barGraphData = convertResponseToBarGraphData(
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analytics?.distribution,
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watch("segment") ? true : false,
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watch("y_axis")
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);
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const barGraphData = convertResponseToBarGraphData(analytics?.distribution, params);
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return (
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<>
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@ -125,7 +121,7 @@ export const CustomAnalytics: React.FC<Props> = ({ isProjectLevel = false, fullS
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<div className="space-y-4 text-brand-secondary">
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<p className="text-sm">There was some error in fetching the data.</p>
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<div className="flex items-center justify-center gap-2">
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<PrimaryButton onClick={mutateAnalytics}>Refresh</PrimaryButton>
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<PrimaryButton onClick={() => mutateAnalytics()}>Refresh</PrimaryButton>
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</div>
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</div>
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</div>
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@ -1,5 +1,7 @@
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// nivo
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import { BarTooltipProps } from "@nivo/bar";
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import { DATE_KEYS } from "constants/analytics";
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import { renderMonthAndYear } from "helpers/analytics.helper";
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// types
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import { IAnalyticsParams } from "types";
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@ -8,27 +10,39 @@ type Props = {
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params: IAnalyticsParams;
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};
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export const CustomTooltip: React.FC<Props> = ({ datum, params }) => (
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<div className="flex items-center gap-2 rounded-md border border-brand-base bg-brand-base p-2 text-xs">
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<span
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className="h-3 w-3 rounded"
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style={{
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backgroundColor: datum.color,
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}}
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/>
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<span
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className={`font-medium text-brand-secondary ${
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params.segment
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? params.segment === "priority" || params.segment === "state__group"
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export const CustomTooltip: React.FC<Props> = ({ datum, params }) => {
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let tooltipValue: string | number = "";
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if (params.segment) {
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if (DATE_KEYS.includes(params.segment)) tooltipValue = renderMonthAndYear(datum.id);
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else tooltipValue = datum.id;
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} else {
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if (DATE_KEYS.includes(params.x_axis)) tooltipValue = datum.indexValue;
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else tooltipValue = datum.id === "count" ? "Issue count" : "Effort";
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}
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return (
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<div className="flex items-center gap-2 rounded-md border border-brand-base bg-brand-base p-2 text-xs">
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<span
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className="h-3 w-3 rounded"
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style={{
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backgroundColor: datum.color,
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}}
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/>
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<span
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className={`font-medium text-brand-secondary ${
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params.segment
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? params.segment === "priority" || params.segment === "state__group"
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? "capitalize"
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: ""
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: params.x_axis === "priority" || params.x_axis === "state__group"
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? "capitalize"
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: ""
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: params.x_axis === "priority" || params.x_axis === "state__group"
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? "capitalize"
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: ""
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}`}
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>
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{params.segment ? datum.id : datum.id === "count" ? "Issue count" : "Effort"}:
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</span>
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<span>{datum.value}</span>
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</div>
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);
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}`}
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>
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{tooltipValue}:
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</span>
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<span>{datum.value}</span>
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</div>
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);
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};
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@ -6,10 +6,10 @@ import { CustomTooltip } from "./custom-tooltip";
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import { BarGraph } from "components/ui";
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// helpers
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import { findStringWithMostCharacters } from "helpers/array.helper";
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import { generateBarColor } from "helpers/analytics.helper";
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// types
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import { IAnalyticsParams, IAnalyticsResponse } from "types";
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// constants
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import { generateBarColor } from "constants/analytics";
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type Props = {
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analytics: IAnalyticsResponse;
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@ -47,28 +47,7 @@ export const AnalyticsGraph: React.FC<Props> = ({
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});
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else data = barGraphData.data.map((d) => d[yAxisKey] as number);
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const minValue = 0;
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const maxValue = Math.max(...data);
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const valueRange = maxValue - minValue;
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let tickInterval = 1;
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if (valueRange > 10) tickInterval = 2;
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if (valueRange > 50) tickInterval = 5;
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if (valueRange > 100) tickInterval = 10;
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if (valueRange > 200) tickInterval = 50;
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if (valueRange > 300) tickInterval = (Math.ceil(valueRange / 100) * 100) / 10;
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const tickValues = [];
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let tickValue = minValue;
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while (tickValue <= maxValue) {
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tickValues.push(tickValue);
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tickValue += tickInterval;
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}
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if (!tickValues.includes(maxValue)) tickValues.push(maxValue);
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return tickValues;
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return data;
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};
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const longestXAxisLabel = findStringWithMostCharacters(barGraphData.data.map((d) => `${d.name}`));
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@ -78,11 +57,6 @@ export const AnalyticsGraph: React.FC<Props> = ({
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data={barGraphData.data}
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indexBy="name"
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keys={barGraphData.xAxisKeys}
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axisLeft={{
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tickSize: 0,
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tickPadding: 10,
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tickValues: generateYAxisTickValues(),
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}}
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colors={(datum) =>
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generateBarColor(
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params.segment ? `${datum.id}` : `${datum.indexValue}`,
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@ -91,6 +65,7 @@ export const AnalyticsGraph: React.FC<Props> = ({
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params.segment ? "segment" : "x_axis"
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)
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}
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customYAxisTickValues={generateYAxisTickValues()}
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tooltip={(datum) => <CustomTooltip datum={datum} params={params} />}
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height={fullScreen ? "400px" : "300px"}
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margin={{ right: 20, bottom: longestXAxisLabel.length * 5 + 20 }}
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@ -4,14 +4,13 @@ import { BarDatum } from "@nivo/bar";
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import { getPriorityIcon } from "components/icons";
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// helpers
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import { addSpaceIfCamelCase } from "helpers/string.helper";
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// helpers
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import { generateBarColor, renderMonthAndYear } from "helpers/analytics.helper";
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// types
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import { IAnalyticsParams, IAnalyticsResponse } from "types";
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// constants
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import {
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ANALYTICS_X_AXIS_VALUES,
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ANALYTICS_Y_AXIS_VALUES,
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generateBarColor,
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} from "constants/analytics";
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import { ANALYTICS_X_AXIS_VALUES, ANALYTICS_Y_AXIS_VALUES, DATE_KEYS } from "constants/analytics";
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import { MONTHS_LIST } from "constants/calendar";
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type Props = {
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analytics: IAnalyticsResponse;
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@ -55,7 +54,7 @@ export const AnalyticsTable: React.FC<Props> = ({ analytics, barGraphData, param
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}}
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/>
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)}
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{key}
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{DATE_KEYS.includes(params.segment ?? "") ? renderMonthAndYear(key) : key}
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</div>
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</th>
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))
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@ -74,7 +73,9 @@ export const AnalyticsTable: React.FC<Props> = ({ analytics, barGraphData, param
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>
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<td
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className={`flex items-center gap-2 whitespace-nowrap py-2 px-2.5 font-medium ${
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params.x_axis === "priority" ? "capitalize" : ""
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params.x_axis === "priority" || params.x_axis === "state__group"
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? "capitalize"
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: ""
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}`}
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>
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{params.x_axis === "priority" ? (
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@ -38,7 +38,7 @@ export const AnalyticsProjectModal: React.FC<Props> = ({ isOpen, onClose }) => {
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>
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<div
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className={`flex items-center justify-between gap-2 border-b border-b-brand-base bg-brand-sidebar p-3 text-sm ${
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fullScreen ? "" : "py-[1.3rem]"
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fullScreen ? "" : "py-[1.275rem]"
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}`}
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>
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<h3>Project Analytics</h3>
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@ -80,7 +80,7 @@ export const AnalyticsProjectModal: React.FC<Props> = ({ isOpen, onClose }) => {
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</Tab.List>
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<Tab.Panels as={Fragment}>
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<Tab.Panel as={Fragment}>
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<ScopeAndDemand fullScreen={fullScreen} />
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<ScopeAndDemand fullScreen={fullScreen} isProjectLevel />
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</Tab.Panel>
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<Tab.Panel as={Fragment}>
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<CustomAnalytics fullScreen={fullScreen} isProjectLevel />
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@ -10,14 +10,14 @@ type Props = {
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};
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export const AnalyticsDemand: React.FC<Props> = ({ defaultAnalytics }) => (
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<div className="space-y-3 self-start rounded-[10px] border border-brand-base p-3">
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<div className="space-y-3 rounded-[10px] border border-brand-base p-3">
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<h5 className="text-xs text-red-500">DEMAND</h5>
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<div>
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<h4 className="text-brand-bas text-base font-medium">Total open tasks</h4>
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<h3 className="mt-1 text-xl font-semibold">{defaultAnalytics.open_issues}</h3>
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</div>
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<div className="space-y-6">
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{defaultAnalytics.open_issues_classified.map((group) => {
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{defaultAnalytics?.open_issues_classified.map((group) => {
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const percentage = ((group.state_count / defaultAnalytics.total_issues) * 100).toFixed(0);
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return (
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@ -1,3 +1,5 @@
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export * from "./demand";
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export * from "./leaderboard";
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export * from "./scope-and-demand";
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export * from "./scope";
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export * from "./year-wise-issues";
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@ -0,0 +1,41 @@
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import Image from "next/image";
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type Props = {
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users: {
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avatar: string | null;
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email: string | null;
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count: number;
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}[];
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title: string;
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};
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export const AnalyticsLeaderboard: React.FC<Props> = ({ users, title }) => (
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<div className="p-3 border border-brand-base rounded-[10px]">
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<h6 className="text-base font-medium">{title}</h6>
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<div className="mt-3 space-y-3">
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{users.map((user) => (
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<div key={user.email} className="flex items-start justify-between gap-4 text-xs">
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<div className="flex items-center gap-2">
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{user && user.avatar && user.avatar !== "" ? (
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<div className="rounded-full h-4 w-4 flex-shrink-0">
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<Image
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src={user.avatar}
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height="100%"
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width="100%"
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className="rounded-full"
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alt={user.email ?? "No assignee"}
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/>
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</div>
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) : (
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<div className="grid place-items-center flex-shrink-0 rounded-full bg-gray-700 text-[11px] capitalize text-white h-4 w-4">
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{(user.email ?? "No assignee").charAt(0)}
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</div>
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)}
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<span className="break-all text-brand-secondary">{user.email ?? "No assignee"}</span>
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</div>
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<span className="flex-shrink-0">{user.count}</span>
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</div>
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))}
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</div>
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</div>
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);
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@ -5,7 +5,12 @@ import useSWR from "swr";
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// services
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import analyticsService from "services/analytics.service";
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// components
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import { AnalyticsDemand, AnalyticsScope } from "components/analytics";
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import {
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AnalyticsDemand,
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AnalyticsLeaderboard,
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AnalyticsScope,
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AnalyticsYearWiseIssues,
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} from "components/analytics";
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// ui
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import { Loader, PrimaryButton } from "components/ui";
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// fetch-keys
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@ -13,17 +18,20 @@ import { DEFAULT_ANALYTICS } from "constants/fetch-keys";
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type Props = {
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fullScreen?: boolean;
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isProjectLevel?: boolean;
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};
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export const ScopeAndDemand: React.FC<Props> = ({ fullScreen = true }) => {
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export const ScopeAndDemand: React.FC<Props> = ({ fullScreen = true, isProjectLevel = true }) => {
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const router = useRouter();
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const { workspaceSlug, projectId, cycleId, moduleId } = router.query;
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const params = {
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project: projectId ? projectId.toString() : null,
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cycle: cycleId ? cycleId.toString() : null,
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module: moduleId ? moduleId.toString() : null,
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};
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const params = isProjectLevel
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? {
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project: projectId ? projectId.toString() : null,
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cycle: cycleId ? cycleId.toString() : null,
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module: moduleId ? moduleId.toString() : null,
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}
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: undefined;
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const {
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data: defaultAnalytics,
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@ -41,15 +49,36 @@ export const ScopeAndDemand: React.FC<Props> = ({ fullScreen = true }) => {
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{!defaultAnalyticsError ? (
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defaultAnalytics ? (
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<div className="h-full overflow-y-auto p-5 text-sm">
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<div className={`grid grid-cols-1 gap-5 ${fullScreen ? "lg:grid-cols-2" : ""}`}>
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<div className={`grid grid-cols-1 gap-5 ${fullScreen ? "md:grid-cols-2" : ""}`}>
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<AnalyticsDemand defaultAnalytics={defaultAnalytics} />
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<AnalyticsScope defaultAnalytics={defaultAnalytics} />
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<AnalyticsLeaderboard
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users={defaultAnalytics.most_issue_created_user.map((user) => ({
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avatar: user.created_by__avatar,
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email: user.created_by__email,
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count: user.count,
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}))}
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title="Most issues created"
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/>
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<AnalyticsLeaderboard
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users={defaultAnalytics.most_issue_closed_user.map((user) => ({
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avatar: user.assignees__avatar,
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email: user.assignees__email,
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count: user.count,
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}))}
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title="Most issues closed"
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/>
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<div className={fullScreen ? "md:col-span-2" : ""}>
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<AnalyticsYearWiseIssues defaultAnalytics={defaultAnalytics} />
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</div>
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</div>
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</div>
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) : (
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<Loader className="grid grid-cols-1 gap-5 p-5 lg:grid-cols-2">
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<Loader.Item height="300px" />
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<Loader.Item height="300px" />
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<Loader.Item height="250px" />
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<Loader.Item height="250px" />
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<Loader.Item height="250px" />
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<Loader.Item height="250px" />
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</Loader>
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)
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) : (
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@ -57,7 +86,7 @@ export const ScopeAndDemand: React.FC<Props> = ({ fullScreen = true }) => {
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<div className="space-y-4 text-brand-secondary">
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<p className="text-sm">There was some error in fetching the data.</p>
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<div className="flex items-center justify-center gap-2">
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<PrimaryButton onClick={mutateDefaultAnalytics}>Refresh</PrimaryButton>
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<PrimaryButton onClick={() => mutateDefaultAnalytics()}>Refresh</PrimaryButton>
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</div>
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</div>
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</div>
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@ -1,98 +1,65 @@
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// ui
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import { BarGraph, LineGraph } from "components/ui";
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import { BarGraph } from "components/ui";
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// types
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import { IDefaultAnalyticsResponse } from "types";
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// constants
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import { MONTHS_LIST } from "constants/calendar";
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type Props = {
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defaultAnalytics: IDefaultAnalyticsResponse;
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};
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export const AnalyticsScope: React.FC<Props> = ({ defaultAnalytics }) => {
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const currentMonth = new Date().getMonth();
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const startMonth = Math.floor(currentMonth / 3) * 3 + 1;
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const quarterMonthsList = [startMonth, startMonth + 1, startMonth + 2];
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export const AnalyticsScope: React.FC<Props> = ({ defaultAnalytics }) => (
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<div className="rounded-[10px] border border-brand-base">
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<h5 className="p-3 text-xs text-green-500">SCOPE</h5>
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<div className="divide-y divide-brand-base">
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<div>
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<h6 className="px-3 text-base font-medium">Pending issues</h6>
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<BarGraph
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data={defaultAnalytics.pending_issue_user}
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indexBy="assignees__email"
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keys={["count"]}
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height="250px"
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colors={() => `#f97316`}
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customYAxisTickValues={defaultAnalytics.pending_issue_user.map((d) => d.count)}
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tooltip={(datum) => (
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<div className="rounded-md border border-brand-base bg-brand-base p-2 text-xs">
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<span className="font-medium text-brand-secondary">
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Issue count- {datum.indexValue ?? "No assignee"}:{" "}
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</span>
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{datum.value}
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</div>
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)}
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axisBottom={{
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renderTick: (datum) => {
|
||||
const avatar =
|
||||
defaultAnalytics.pending_issue_user[datum.tickIndex].assignees__avatar ?? "";
|
||||
|
||||
return (
|
||||
<div className="rounded-[10px] border border-brand-base">
|
||||
<h5 className="p-3 text-xs text-green-500">SCOPE</h5>
|
||||
<div className="divide-y divide-brand-base">
|
||||
<div>
|
||||
<h6 className="px-3 text-base font-medium">Pending issues</h6>
|
||||
<BarGraph
|
||||
data={defaultAnalytics.pending_issue_user}
|
||||
indexBy="assignees__email"
|
||||
keys={["count"]}
|
||||
height="250px"
|
||||
colors={() => `#f97316`}
|
||||
tooltip={(datum) => (
|
||||
<div className="rounded-md border border-brand-base bg-brand-base p-2 text-xs">
|
||||
<span className="font-medium text-brand-secondary">
|
||||
Issue count- {datum.indexValue ?? "No assignee"}:{" "}
|
||||
</span>
|
||||
{datum.value}
|
||||
</div>
|
||||
)}
|
||||
axisBottom={{
|
||||
tickValues: [],
|
||||
}}
|
||||
margin={{ top: 20 }}
|
||||
/>
|
||||
</div>
|
||||
<div className="grid grid-cols-1 divide-y divide-brand-base sm:grid-cols-2 sm:divide-x">
|
||||
<div className="p-3">
|
||||
<h6 className="text-base font-medium">Most issues created</h6>
|
||||
<div className="mt-3 space-y-3">
|
||||
{defaultAnalytics.most_issue_created_user.map((user) => (
|
||||
<div
|
||||
key={user.assignees__email}
|
||||
className="flex items-start justify-between gap-4 text-xs"
|
||||
>
|
||||
<span className="break-all text-brand-secondary">{user.assignees__email}</span>
|
||||
<span className="flex-shrink-0">{user.count}</span>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
<div className="p-3">
|
||||
<h6 className="text-base font-medium">Most issues closed</h6>
|
||||
<div className="mt-3 space-y-3">
|
||||
{defaultAnalytics.most_issue_closed_user.map((user) => (
|
||||
<div
|
||||
key={user.assignees__email}
|
||||
className="flex items-start justify-between gap-4 text-xs"
|
||||
>
|
||||
<span className="break-all text-brand-secondary">{user.assignees__email}</span>
|
||||
<span className="flex-shrink-0">{user.count}</span>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div className="py-3">
|
||||
<h1 className="px-3 text-base font-medium">Issues closed in a year</h1>
|
||||
<LineGraph
|
||||
data={[
|
||||
{
|
||||
id: "issues_closed",
|
||||
color: "rgb(var(--color-accent))",
|
||||
data: quarterMonthsList.map((month) => ({
|
||||
x: MONTHS_LIST.find((m) => m.value === month)?.label.substring(0, 3),
|
||||
y:
|
||||
defaultAnalytics.issue_completed_month_wise.find((data) => data.month === month)
|
||||
?.count || 0,
|
||||
})),
|
||||
},
|
||||
]}
|
||||
height="300px"
|
||||
colors={(datum) => datum.color}
|
||||
curve="monotoneX"
|
||||
margin={{ top: 20 }}
|
||||
enableArea
|
||||
/>
|
||||
</div>
|
||||
if (avatar && avatar !== "")
|
||||
return (
|
||||
<g transform={`translate(${datum.x},${datum.y})`}>
|
||||
<image
|
||||
x={-8}
|
||||
y={10}
|
||||
width={16}
|
||||
height={16}
|
||||
xlinkHref={avatar}
|
||||
style={{ clipPath: "circle(50%)" }}
|
||||
/>
|
||||
</g>
|
||||
);
|
||||
else
|
||||
return (
|
||||
<g transform={`translate(${datum.x},${datum.y})`}>
|
||||
<circle cy={18} r={8} fill="#374151" />
|
||||
<text x={0} y={21} textAnchor="middle" fontSize={9} fill="#ffffff">
|
||||
{(`${datum.value}` ?? "No assignee").toUpperCase().charAt(0)}
|
||||
</text>
|
||||
</g>
|
||||
);
|
||||
},
|
||||
}}
|
||||
margin={{ top: 20 }}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
</div>
|
||||
);
|
||||
|
||||
@ -0,0 +1,47 @@
|
||||
// ui
|
||||
import { LineGraph } from "components/ui";
|
||||
// types
|
||||
import { IDefaultAnalyticsResponse } from "types";
|
||||
// constants
|
||||
import { MONTHS_LIST } from "constants/calendar";
|
||||
|
||||
type Props = {
|
||||
defaultAnalytics: IDefaultAnalyticsResponse;
|
||||
};
|
||||
|
||||
export const AnalyticsYearWiseIssues: React.FC<Props> = ({ defaultAnalytics }) => {
|
||||
const currentMonth = new Date().getMonth();
|
||||
const startMonth = Math.floor(currentMonth / 3) * 3 + 1;
|
||||
const quarterMonthsList = [startMonth, startMonth + 1, startMonth + 2];
|
||||
|
||||
return (
|
||||
<div className="py-3 border border-brand-base rounded-[10px]">
|
||||
<h1 className="px-3 text-base font-medium">Issues closed in a year</h1>
|
||||
<LineGraph
|
||||
data={[
|
||||
{
|
||||
id: "issues_closed",
|
||||
color: "rgb(var(--color-accent))",
|
||||
data: MONTHS_LIST.map((month) => ({
|
||||
x: month.label.substring(0, 3),
|
||||
y:
|
||||
defaultAnalytics.issue_completed_month_wise.find(
|
||||
(data) => data.month === month.value
|
||||
)?.count || 0,
|
||||
})),
|
||||
},
|
||||
]}
|
||||
customYAxisTickValues={defaultAnalytics.issue_completed_month_wise.map((data) => {
|
||||
if (quarterMonthsList.includes(data.month)) return data.count;
|
||||
|
||||
return 0;
|
||||
})}
|
||||
height="300px"
|
||||
colors={(datum) => datum.color}
|
||||
curve="monotoneX"
|
||||
margin={{ top: 20 }}
|
||||
enableArea
|
||||
/>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
@ -22,7 +22,7 @@ export const AnalyticsWorkspaceModal: React.FC<Props> = ({ isOpen, onClose }) =>
|
||||
return (
|
||||
<>
|
||||
<div
|
||||
className={`absolute z-20 h-full w-full bg-brand-surface-1 p-2 ${
|
||||
className={`absolute z-40 h-full w-full bg-brand-surface-1 p-2 ${
|
||||
isOpen ? "block" : "hidden"
|
||||
}`}
|
||||
>
|
||||
@ -56,7 +56,7 @@ export const AnalyticsWorkspaceModal: React.FC<Props> = ({ isOpen, onClose }) =>
|
||||
</Tab.List>
|
||||
<Tab.Panels as={Fragment}>
|
||||
<Tab.Panel as={Fragment}>
|
||||
<ScopeAndDemand />
|
||||
<ScopeAndDemand isProjectLevel={false} />
|
||||
</Tab.Panel>
|
||||
<Tab.Panel as={Fragment}>
|
||||
<CustomAnalytics />
|
||||
|
||||
@ -1,5 +1,7 @@
|
||||
// nivo
|
||||
import { ResponsiveBar, BarSvgProps } from "@nivo/bar";
|
||||
// helpers
|
||||
import { generateYAxisTickValues } from "helpers/graph.helper";
|
||||
// types
|
||||
import { TGraph } from "./types";
|
||||
// constants
|
||||
@ -8,11 +10,13 @@ import { CHARTS_THEME, DEFAULT_MARGIN } from "constants/graph";
|
||||
type Props = {
|
||||
indexBy: string;
|
||||
keys: string[];
|
||||
customYAxisTickValues?: number[];
|
||||
};
|
||||
|
||||
export const BarGraph: React.FC<Props & TGraph & Omit<BarSvgProps<any>, "height" | "width">> = ({
|
||||
indexBy,
|
||||
keys,
|
||||
customYAxisTickValues,
|
||||
height = "400px",
|
||||
width = "100%",
|
||||
margin,
|
||||
@ -25,6 +29,13 @@ export const BarGraph: React.FC<Props & TGraph & Omit<BarSvgProps<any>, "height"
|
||||
keys={keys}
|
||||
margin={{ ...DEFAULT_MARGIN, ...(margin ?? {}) }}
|
||||
padding={rest.padding ?? rest.data.length > 7 ? 0.8 : 0.9}
|
||||
axisLeft={{
|
||||
tickSize: 0,
|
||||
tickPadding: 10,
|
||||
tickValues: customYAxisTickValues
|
||||
? generateYAxisTickValues(customYAxisTickValues)
|
||||
: undefined,
|
||||
}}
|
||||
axisBottom={{
|
||||
tickSize: 0,
|
||||
tickPadding: 10,
|
||||
|
||||
@ -1,11 +1,18 @@
|
||||
// nivo
|
||||
import { ResponsiveLine, LineSvgProps } from "@nivo/line";
|
||||
// helpers
|
||||
import { generateYAxisTickValues } from "helpers/graph.helper";
|
||||
// types
|
||||
import { TGraph } from "./types";
|
||||
// constants
|
||||
import { CHARTS_THEME, DEFAULT_MARGIN } from "constants/graph";
|
||||
|
||||
export const LineGraph: React.FC<TGraph & LineSvgProps> = ({
|
||||
type Props = {
|
||||
customYAxisTickValues?: number[];
|
||||
};
|
||||
|
||||
export const LineGraph: React.FC<Props & TGraph & LineSvgProps> = ({
|
||||
customYAxisTickValues,
|
||||
height = "400px",
|
||||
width = "100%",
|
||||
margin,
|
||||
@ -15,6 +22,13 @@ export const LineGraph: React.FC<TGraph & LineSvgProps> = ({
|
||||
<div style={{ height, width }}>
|
||||
<ResponsiveLine
|
||||
margin={{ ...DEFAULT_MARGIN, ...(margin ?? {}) }}
|
||||
axisLeft={{
|
||||
tickSize: 0,
|
||||
tickPadding: 10,
|
||||
tickValues: customYAxisTickValues
|
||||
? generateYAxisTickValues(customYAxisTickValues)
|
||||
: undefined,
|
||||
}}
|
||||
theme={{ ...CHARTS_THEME, ...(theme ?? {}) }}
|
||||
animate={true}
|
||||
{...rest}
|
||||
|
||||
@ -1,23 +1,14 @@
|
||||
// nivo
|
||||
import { BarDatum, ComputedDatum } from "@nivo/bar";
|
||||
// types
|
||||
import {
|
||||
IAnalyticsData,
|
||||
IAnalyticsParams,
|
||||
IAnalyticsResponse,
|
||||
TXAxisValues,
|
||||
TYAxisValues,
|
||||
} from "types";
|
||||
import { STATE_GROUP_COLORS } from "./state";
|
||||
import { TXAxisValues, TYAxisValues } from "types";
|
||||
|
||||
export const ANALYTICS_X_AXIS_VALUES: { value: TXAxisValues; label: string }[] = [
|
||||
{
|
||||
value: "state__name",
|
||||
label: "State Name",
|
||||
label: "State name",
|
||||
},
|
||||
{
|
||||
value: "state__group",
|
||||
label: "State Group",
|
||||
label: "State group",
|
||||
},
|
||||
{
|
||||
value: "priority",
|
||||
@ -33,7 +24,7 @@ export const ANALYTICS_X_AXIS_VALUES: { value: TXAxisValues; label: string }[] =
|
||||
},
|
||||
{
|
||||
value: "estimate_point",
|
||||
label: "Estimate",
|
||||
label: "Estimate point",
|
||||
},
|
||||
{
|
||||
value: "issue_cycle__cycle__name",
|
||||
@ -51,10 +42,10 @@ export const ANALYTICS_X_AXIS_VALUES: { value: TXAxisValues; label: string }[] =
|
||||
value: "target_date",
|
||||
label: "Due date",
|
||||
},
|
||||
{
|
||||
value: "start_date",
|
||||
label: "Start Date",
|
||||
},
|
||||
// {
|
||||
// value: "start_date",
|
||||
// label: "Start date",
|
||||
// },
|
||||
{
|
||||
value: "created_at",
|
||||
label: "Created date",
|
||||
@ -72,75 +63,4 @@ export const ANALYTICS_Y_AXIS_VALUES: { value: TYAxisValues; label: string }[] =
|
||||
},
|
||||
];
|
||||
|
||||
export const convertResponseToBarGraphData = (
|
||||
response: IAnalyticsData | undefined,
|
||||
segmented: boolean,
|
||||
yAxis: TYAxisValues
|
||||
): { data: BarDatum[]; xAxisKeys: string[] } => {
|
||||
if (!response || !(typeof response === "object") || Object.keys(response).length === 0)
|
||||
return { data: [], xAxisKeys: [] };
|
||||
|
||||
const data: BarDatum[] = [];
|
||||
|
||||
let xAxisKeys: string[] = [];
|
||||
const yAxisKey = yAxis === "issue_count" ? "count" : "effort";
|
||||
|
||||
Object.keys(response).forEach((key) => {
|
||||
const segments: { [key: string]: number } = {};
|
||||
|
||||
if (segmented) {
|
||||
response[key].map((item: any) => {
|
||||
segments[item.segment ?? "None"] = item[yAxisKey] ?? 0;
|
||||
|
||||
// store the segment in the xAxisKeys array
|
||||
if (!xAxisKeys.includes(item.segment ?? "None")) xAxisKeys.push(item.segment ?? "None");
|
||||
});
|
||||
|
||||
data.push({
|
||||
name: key,
|
||||
...segments,
|
||||
});
|
||||
} else {
|
||||
xAxisKeys = [yAxisKey];
|
||||
|
||||
const item = response[key][0];
|
||||
|
||||
data.push({
|
||||
name: item.dimension ?? "None",
|
||||
[yAxisKey]: item[yAxisKey] ?? 0,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
return { data, xAxisKeys };
|
||||
};
|
||||
|
||||
export const generateBarColor = (
|
||||
value: string,
|
||||
analytics: IAnalyticsResponse,
|
||||
params: IAnalyticsParams,
|
||||
type: "x_axis" | "segment"
|
||||
): string => {
|
||||
let color: string | undefined = "rgb(var(--color-accent))";
|
||||
|
||||
if (!analytics) return color;
|
||||
|
||||
if (params[type] === "state__name" || params[type] === "labels__name")
|
||||
color = analytics?.extras?.colors.find((c) => c.name === value)?.color;
|
||||
|
||||
if (params[type] === "state__group") color = STATE_GROUP_COLORS[value];
|
||||
|
||||
if (params[type] === "priority")
|
||||
color =
|
||||
value === "urgent"
|
||||
? "#ef4444"
|
||||
: value === "high"
|
||||
? "#f97316"
|
||||
: value === "medium"
|
||||
? "#eab308"
|
||||
: value === "low"
|
||||
? "#22c55e"
|
||||
: "#ced4da";
|
||||
|
||||
return color ?? "rgb(var(--color-accent))";
|
||||
};
|
||||
export const DATE_KEYS = ["completed_at", "target_date", "start_date", "created_at"];
|
||||
|
||||
91
apps/app/helpers/analytics.helper.ts
Normal file
91
apps/app/helpers/analytics.helper.ts
Normal file
@ -0,0 +1,91 @@
|
||||
// nivo
|
||||
import { BarDatum } from "@nivo/bar";
|
||||
// types
|
||||
import { IAnalyticsData, IAnalyticsParams, IAnalyticsResponse } from "types";
|
||||
// constants
|
||||
import { STATE_GROUP_COLORS } from "constants/state";
|
||||
import { MONTHS_LIST } from "constants/calendar";
|
||||
import { DATE_KEYS } from "constants/analytics";
|
||||
|
||||
export const convertResponseToBarGraphData = (
|
||||
response: IAnalyticsData | undefined,
|
||||
params: IAnalyticsParams
|
||||
): { data: BarDatum[]; xAxisKeys: string[] } => {
|
||||
if (!response || !(typeof response === "object") || Object.keys(response).length === 0)
|
||||
return { data: [], xAxisKeys: [] };
|
||||
|
||||
const data: BarDatum[] = [];
|
||||
|
||||
let xAxisKeys: string[] = [];
|
||||
const yAxisKey = params.y_axis === "issue_count" ? "count" : "effort";
|
||||
|
||||
Object.keys(response).forEach((key) => {
|
||||
const segments: { [key: string]: number } = {};
|
||||
|
||||
if (params.segment) {
|
||||
response[key].map((item: any) => {
|
||||
segments[item.segment ?? "None"] = item[yAxisKey] ?? 0;
|
||||
|
||||
// store the segment in the xAxisKeys array
|
||||
if (!xAxisKeys.includes(item.segment ?? "None")) xAxisKeys.push(item.segment ?? "None");
|
||||
});
|
||||
|
||||
data.push({
|
||||
name: DATE_KEYS.includes(params.x_axis) ? renderMonthAndYear(key) : key,
|
||||
...segments,
|
||||
});
|
||||
} else {
|
||||
xAxisKeys = [yAxisKey];
|
||||
|
||||
const item = response[key][0];
|
||||
|
||||
data.push({
|
||||
name: DATE_KEYS.includes(params.x_axis)
|
||||
? renderMonthAndYear(item.dimension)
|
||||
: item.dimension ?? "None",
|
||||
[yAxisKey]: item[yAxisKey] ?? 0,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
return { data, xAxisKeys };
|
||||
};
|
||||
|
||||
export const generateBarColor = (
|
||||
value: string,
|
||||
analytics: IAnalyticsResponse,
|
||||
params: IAnalyticsParams,
|
||||
type: "x_axis" | "segment"
|
||||
): string => {
|
||||
let color: string | undefined = "rgb(var(--color-accent))";
|
||||
|
||||
if (!analytics) return color;
|
||||
|
||||
if (params[type] === "state__name" || params[type] === "labels__name")
|
||||
color = analytics?.extras?.colors.find((c) => c.name === value)?.color;
|
||||
|
||||
if (params[type] === "state__group") color = STATE_GROUP_COLORS[value];
|
||||
|
||||
if (params[type] === "priority")
|
||||
color =
|
||||
value === "urgent"
|
||||
? "#ef4444"
|
||||
: value === "high"
|
||||
? "#f97316"
|
||||
: value === "medium"
|
||||
? "#eab308"
|
||||
: value === "low"
|
||||
? "#22c55e"
|
||||
: "#ced4da";
|
||||
|
||||
return color ?? "rgb(var(--color-accent))";
|
||||
};
|
||||
|
||||
export const renderMonthAndYear = (date: string | number | null): string => {
|
||||
if (!date || date === "") return "";
|
||||
|
||||
return (
|
||||
(MONTHS_LIST.find((m) => `${m.value}` === `${date}`.split("-")[1])?.label.substring(0, 3) ??
|
||||
"None") + ` ${date}`.split("-")[0] ?? ""
|
||||
);
|
||||
};
|
||||
24
apps/app/helpers/graph.helper.ts
Normal file
24
apps/app/helpers/graph.helper.ts
Normal file
@ -0,0 +1,24 @@
|
||||
export const generateYAxisTickValues = (data: number[]) => {
|
||||
if (!data || !Array.isArray(data) || data.length === 0) return [];
|
||||
|
||||
const minValue = 0;
|
||||
const maxValue = Math.max(...data);
|
||||
|
||||
const valueRange = maxValue - minValue;
|
||||
|
||||
let tickInterval = 1;
|
||||
|
||||
if (valueRange < 10) tickInterval = 1;
|
||||
else if (valueRange < 20) tickInterval = 2;
|
||||
else if (valueRange < 50) tickInterval = 5;
|
||||
else tickInterval = (Math.ceil(valueRange / 100) * 100) / 10;
|
||||
|
||||
const tickValues: number[] = [];
|
||||
let tickValue = minValue;
|
||||
while (tickValue <= maxValue) {
|
||||
tickValues.push(tickValue);
|
||||
tickValue += tickInterval;
|
||||
}
|
||||
|
||||
return tickValues;
|
||||
};
|
||||
22
apps/app/types/analytics.d.ts
vendored
22
apps/app/types/analytics.d.ts
vendored
@ -57,26 +57,24 @@ export interface IExportAnalyticsFormData {
|
||||
project?: string[];
|
||||
}
|
||||
|
||||
export interface IDefaultAnalyticsUser {
|
||||
assignees__avatar: string | null;
|
||||
assignees__email: string;
|
||||
count: number;
|
||||
}
|
||||
|
||||
export interface IDefaultAnalyticsResponse {
|
||||
issue_completed_month_wise: { month: number; count: number }[];
|
||||
most_issue_closed_user: {
|
||||
assignees__avatar: string | null;
|
||||
assignees__email: string;
|
||||
count: number;
|
||||
}[];
|
||||
most_issue_closed_user: IDefaultAnalyticsUser[];
|
||||
most_issue_created_user: {
|
||||
assignees__avatar: string | null;
|
||||
assignees__email: string;
|
||||
created_by__avatar: string | null;
|
||||
created_by__email: string;
|
||||
count: number;
|
||||
}[];
|
||||
open_estimate_sum: number;
|
||||
open_issues: number;
|
||||
open_issues_classified: { state_group: string; state_count: number }[];
|
||||
pending_issue_user: {
|
||||
assignees__avatar: string | null;
|
||||
assignees__email: string;
|
||||
count: number;
|
||||
}[];
|
||||
pending_issue_user: IDefaultAnalyticsUser[];
|
||||
total_estimate_sum: number;
|
||||
total_issues: number;
|
||||
total_issues_classified: { state_group: string; state_count: number }[];
|
||||
|
||||
Loading…
Reference in New Issue
Block a user