@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
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JavaScript
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// © 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.
Object.defineProperty(exports, "__esModule", { value: true });
exports.transformFloatingAverage = void 0;
const tslib_1 = require("tslib");
const cloneDeep_1 = tslib_1.__importDefault(require("lodash/cloneDeep"));
const moment_1 = tslib_1.__importDefault(require("moment/moment"));
function transformFloatingAverage(data, hasPercentile) {
const transformed = (0, cloneDeep_1.default)(data);
function getAverageFromLastHour(data, index) {
let sum = 0.0;
let count = 0;
const dateTime = (0, moment_1.default)(data[index].x);
while (index >= 0 &&
dateTime.diff((0, moment_1.default)(data[index].x), "minutes") <= 60) {
count++;
sum += data[index].y;
index--;
}
return sum / count;
}
transformed.forEach((value, index) => {
transformed[index].y = getAverageFromLastHour(transformed, index);
});
return transformed;
}
exports.transformFloatingAverage = transformFloatingAverage;
//# sourceMappingURL=transformer-floating-average.js.map