@nova-ui/dashboards
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Nova Dashboards is a framework designed to provide feature developers with a common solution for presenting data coming from various sources within a single view, as well as a set of predefined widget visualizations that are 100% configuration-driven and
73 lines • 13.7 kB
JavaScript
// © 2022 SolarWinds Worldwide, LLC. All rights reserved.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to
// deal in the Software without restriction, including without limitation the
// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
// sell copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.
import moment from "moment/moment";
/**
* Use this function to apply endpoints on status data returned by a data source so that when the status
* chart is zoomed (filtered), each status visualization is ensured to have valid start and end values
*
* @param timeframeFilter The timeframe used for filtering the data
* @param filteredSeriesData The series data after the filter is applied
* @param originalSeriesData The superset of series data with no filter applied
*
* @returns The filtered data including start and end data points applied to each series
*/
export function applyStatusEndpoints(timeframeFilter, filteredSeriesData, originalSeriesData) {
const filteredDataWithEndpoints = filteredSeriesData;
originalSeriesData.forEach((series, i) => {
if (series.data.length === 0) {
return;
}
let startIndex = -1;
let endIndex = -1;
const filteredData = filteredSeriesData[i].data;
if (filteredData.length > 0) {
// if we have filtered data, get the start and end indexes from the original unfiltered data
startIndex = series.data.findIndex((datum) => moment(datum.x).isSame(filteredData[0].x));
endIndex = series.data.findIndex((datum) => moment(datum.x).isSame(filteredData[filteredData.length - 1].x));
}
else {
// if the filter doesn't overlap any data points, use the indexes of the first data points
// in the original data that come after the start and before end filter date times respectively
startIndex = series.data.findIndex((datum) => moment(datum.x).isAfter(timeframeFilter.startDatetime));
endIndex =
series.data.findIndex((datum) => moment(datum.x).isAfter(timeframeFilter.endDatetime)) - 1;
}
const filterStartMoment = moment(timeframeFilter.startDatetime);
if ((filteredData.length === 0 ||
!filterStartMoment.isSame(filteredData[0].x)) &&
filterStartMoment.isBetween(series.data[0].x, series.data[series.data.length - 1].x)) {
filteredDataWithEndpoints[i].data.unshift({
...series.data[startIndex - 1],
x: timeframeFilter.startDatetime.toDate(),
});
}
const filterEndMoment = moment(timeframeFilter.endDatetime);
if ((filteredData.length === 0 ||
!filterEndMoment.isSame(filteredData[filteredData.length - 1].x)) &&
filterEndMoment.isBetween(series.data[0].x, series.data[series.data.length - 1].x)) {
filteredDataWithEndpoints[i].data.push({
...series.data[endIndex],
x: timeframeFilter.endDatetime.toDate(),
});
}
});
return filteredDataWithEndpoints;
}
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All rights reserved.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n//  of this software and associated documentation files (the \"Software\"), to\n//  deal in the Software without restriction, including without limitation the\n//  rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n//  sell copies of the Software, and to permit persons to whom the Software is\n//  furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n//  all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n//  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n//  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n//  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n//  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n//  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n//  THE SOFTWARE.\n\nimport moment from \"moment/moment\";\n\nimport { ITimeframe } from \"@nova-ui/bits\";\n\nimport { ITimeseriesWidgetData } from \"../../types\";\n\n/**\n * Use this function to apply endpoints on status data returned by a data source so that when the status\n * chart is zoomed (filtered), each status visualization is ensured to have valid start and end values\n *\n * @param timeframeFilter The timeframe used for filtering the data\n * @param filteredSeriesData The series data after the filter is applied\n * @param originalSeriesData The superset of series data with no filter applied\n *\n * @returns The filtered data including start and end data points applied to each series\n */\nexport function applyStatusEndpoints(\n    timeframeFilter: ITimeframe,\n    filteredSeriesData: ITimeseriesWidgetData[],\n    originalSeriesData: ITimeseriesWidgetData[]\n): ITimeseriesWidgetData[] {\n    const filteredDataWithEndpoints = filteredSeriesData;\n    originalSeriesData.forEach((series: ITimeseriesWidgetData, i: number) => {\n        if (series.data.length === 0) {\n            return;\n        }\n\n        let startIndex = -1;\n        let endIndex = -1;\n\n        const filteredData = filteredSeriesData[i].data;\n        if (filteredData.length > 0) {\n            // if we have filtered data, get the start and end indexes from the original unfiltered data\n            startIndex = series.data.findIndex((datum) =>\n                moment(datum.x).isSame(filteredData[0].x)\n            );\n            endIndex = series.data.findIndex((datum) =>\n                moment(datum.x).isSame(filteredData[filteredData.length - 1].x)\n            );\n        } else {\n            // if the filter doesn't overlap any data points, use the indexes of the first data points\n            // in the original data that come after the start and before end filter date times respectively\n            startIndex = series.data.findIndex((datum) =>\n                moment(datum.x).isAfter(timeframeFilter.startDatetime)\n            );\n            endIndex =\n                series.data.findIndex((datum) =>\n                    moment(datum.x).isAfter(timeframeFilter.endDatetime)\n                ) - 1;\n        }\n\n        const filterStartMoment = moment(timeframeFilter.startDatetime);\n        if (\n            (filteredData.length === 0 ||\n                !filterStartMoment.isSame(filteredData[0].x)) &&\n            filterStartMoment.isBetween(\n                series.data[0].x,\n                series.data[series.data.length - 1].x\n            )\n        ) {\n            filteredDataWithEndpoints[i].data.unshift({\n                ...series.data[startIndex - 1],\n                x: timeframeFilter.startDatetime.toDate(),\n            });\n        }\n\n        const filterEndMoment = moment(timeframeFilter.endDatetime);\n        if (\n            (filteredData.length === 0 ||\n                !filterEndMoment.isSame(\n                    filteredData[filteredData.length - 1].x\n                )) &&\n            filterEndMoment.isBetween(\n                series.data[0].x,\n                series.data[series.data.length - 1].x\n            )\n        ) {\n            filteredDataWithEndpoints[i].data.push({\n                ...series.data[endIndex],\n                x: timeframeFilter.endDatetime.toDate(),\n            });\n        }\n    });\n\n    return filteredDataWithEndpoints;\n}\n"]}