@netdata/charts
Version:
Netdata frontend SDK and chart utilities
173 lines • 13.9 kB
JavaScript
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import { useEffect, useMemo, useRef } from "react";
import { useChart, useAttributeValue } from "../../provider";
import { fetchChartWeights } from "../../../sdk/makeChart/api";
import { transformCorrelationData, groupByContext } from "./dataTransformer";
export var getCorrelationQueryAttributes = function getCorrelationQueryAttributes(_ref) {
var timeRange = _ref.timeRange,
method = _ref.method,
aggregation = _ref.aggregation,
dataType = _ref.dataType,
nodesScope = _ref.nodesScope;
return _objectSpread(_objectSpread({}, timeRange), {}, {
method: method,
aggregationMethod: aggregation,
options: dataType ? [dataType] : [],
groupBy: ["node", "context", "dimension"],
groupByLabel: [],
contextScope: [],
nodesScope: nodesScope,
selectedContexts: [],
selectedNodes: [],
selectedInstances: [],
selectedDimensions: [],
selectedLabels: []
});
};
var useData = function useData() {
var _overlays$highlight3;
var chart = useChart();
var abortControllerRef = useRef(null);
var tab = useAttributeValue("drawer.tab", "window");
var after = useAttributeValue("after");
var before = useAttributeValue("before");
var overlays = useAttributeValue("overlays");
var loading = useAttributeValue("correlate.loading", false);
var error = useAttributeValue("correlate.error");
var data = useAttributeValue("correlate.data");
var method = useAttributeValue("correlate.method", "volume");
var aggregation = useAttributeValue("correlate.aggregation", "average");
var dataType = useAttributeValue("correlate.dataType", "");
var threshold = useAttributeValue("correlate.threshold", 0.01);
var getTimeRange = function getTimeRange() {
var _overlays$highlight;
if (tab === "selectedArea" && overlays !== null && overlays !== void 0 && (_overlays$highlight = overlays.highlight) !== null && _overlays$highlight !== void 0 && _overlays$highlight.range) {
var _overlays$highlight$r = _slicedToArray(overlays.highlight.range, 2),
highlightAfter = _overlays$highlight$r[0],
highlightBefore = _overlays$highlight$r[1];
var baselineDuration = highlightBefore - highlightAfter;
var _baselineAfter = highlightAfter - baselineDuration * 4;
var _baselineBefore = highlightAfter;
return {
highlightAfter: highlightAfter,
highlightBefore: highlightBefore,
baselineAfter: _baselineAfter,
baselineBefore: _baselineBefore
};
}
var windowDuration = before - after;
var baselineAfter = after - windowDuration * 4;
var baselineBefore = after;
if (after < 0) {
var _chart$getAttributes = chart.getAttributes(),
renderedAt = _chart$getAttributes.renderedAt,
fetchStartedAt = _chart$getAttributes.fetchStartedAt;
var now = Math.ceil((renderedAt || fetchStartedAt || Date.now()) / 1000);
return {
highlightAfter: now + after,
highlightBefore: now + before,
baselineAfter: now + baselineAfter,
baselineBefore: now + baselineBefore
};
}
return {
highlightAfter: after,
highlightBefore: before,
baselineAfter: baselineAfter,
baselineBefore: baselineBefore
};
};
var fetchWeights = /*#__PURE__*/function () {
var _ref2 = _asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee(signal) {
var timeRange, nodesScope, response, _t;
return _regenerator().w(function (_context) {
while (1) switch (_context.p = _context.n) {
case 0:
timeRange = getTimeRange();
nodesScope = chart.getFilteredAvailableNodeIds();
_context.p = 1;
_context.n = 2;
return fetchChartWeights(chart, {
attrs: getCorrelationQueryAttributes({
timeRange: timeRange,
method: method,
aggregation: aggregation,
dataType: dataType,
nodesScope: nodesScope
}),
signal: signal
});
case 2:
response = _context.v;
if (!signal.aborted) {
chart.updateAttribute("correlate.data", response);
chart.updateAttribute("correlate.loading", false);
}
_context.n = 4;
break;
case 3:
_context.p = 3;
_t = _context.v;
if (!signal.aborted) {
chart.updateAttribute("correlate.error", _t.message || "Failed to fetch correlations");
chart.updateAttribute("correlate.loading", false);
}
case 4:
return _context.a(2);
}
}, _callee, null, [[1, 3]]);
}));
return function fetchWeights(_x) {
return _ref2.apply(this, arguments);
};
}();
var transformedData = useMemo(function () {
if (!data) return [];
var scopeContexts = chart.getAttribute("contextScope", []);
var correlationData = transformCorrelationData(data, threshold, scopeContexts);
return groupByContext(correlationData);
}, [data, threshold, chart]);
useEffect(function () {
var _overlays$highlight2;
var shouldFetch = tab === "window" || tab === "selectedArea" && (overlays === null || overlays === void 0 || (_overlays$highlight2 = overlays.highlight) === null || _overlays$highlight2 === void 0 ? void 0 : _overlays$highlight2.range);
if (!shouldFetch) return;
if (abortControllerRef.current) {
abortControllerRef.current.abort();
}
abortControllerRef.current = new AbortController();
var signal = abortControllerRef.current.signal;
chart.updateAttribute("correlate.loading", true);
chart.updateAttribute("correlate.error", null);
fetchWeights(signal);
return function () {
if (abortControllerRef.current) {
abortControllerRef.current.abort();
}
};
}, [tab, method, aggregation, dataType, after, before].concat(_toConsumableArray(tab === "selectedArea" ? (overlays === null || overlays === void 0 || (_overlays$highlight3 = overlays.highlight) === null || _overlays$highlight3 === void 0 ? void 0 : _overlays$highlight3.range) || [null, null] : [null, null])));
return {
loading: loading,
error: error,
data: transformedData
};
};
export default useData;