From 8562dae99837a5b6685d702c02b3a9726dd26ad3 Mon Sep 17 00:00:00 2001 From: Alexander Zobnin Date: Sun, 25 Jun 2017 19:03:43 +0300 Subject: [PATCH] timeseries.js refactor --- dist/datasource-zabbix/dataProcessor.js | 14 +++++++++----- dist/datasource-zabbix/dataProcessor.js.map | 2 +- dist/datasource-zabbix/timeseries.js | 10 +++++++--- dist/datasource-zabbix/timeseries.js.map | 2 +- dist/test/datasource-zabbix/dataProcessor.js | 10 ++++++---- dist/test/datasource-zabbix/timeseries.js | 10 +++++++--- src/datasource-zabbix/dataProcessor.js | 8 ++++---- src/datasource-zabbix/timeseries.js | 10 +++++++--- 8 files changed, 42 insertions(+), 24 deletions(-) diff --git a/dist/datasource-zabbix/dataProcessor.js b/dist/datasource-zabbix/dataProcessor.js index f5e28a2..0828868 100644 --- a/dist/datasource-zabbix/dataProcessor.js +++ b/dist/datasource-zabbix/dataProcessor.js @@ -3,7 +3,7 @@ System.register(['lodash', './utils', './timeseries'], function (_export, _context) { "use strict"; - var _, utils, ts, downsampleSeries, groupBy, sumSeries, scale, delta, SUM, COUNT, AVERAGE, MIN, MAX, MEDIAN, metricFunctions, aggregationFunctions; + var _, utils, ts, downsampleSeries, groupBy, sumSeries, delta, scale, SUM, COUNT, AVERAGE, MIN, MAX, MEDIAN, metricFunctions, aggregationFunctions; function limit(order, n, orderByFunc, timeseries) { var orderByCallback = aggregationFunctions[orderByFunc]; @@ -53,19 +53,19 @@ System.register(['lodash', './utils', './timeseries'], function (_export, _conte function groupByWrapper(interval, groupFunc, datapoints) { var groupByCallback = aggregationFunctions[groupFunc]; - return groupBy(interval, groupByCallback, datapoints); + return groupBy(datapoints, interval, groupByCallback); } function aggregateByWrapper(interval, aggregateFunc, datapoints) { // Flatten all points in frame and then just use groupBy() var flattenedPoints = _.flatten(datapoints, true); var groupByCallback = aggregationFunctions[aggregateFunc]; - return groupBy(interval, groupByCallback, flattenedPoints); + return groupBy(flattenedPoints, interval, groupByCallback); } function aggregateWrapper(groupByCallback, interval, datapoints) { var flattenedPoints = _.flatten(datapoints, true); - return groupBy(interval, groupByCallback, flattenedPoints); + return groupBy(flattenedPoints, interval, groupByCallback); } function timeShift(interval, range) { @@ -94,8 +94,12 @@ System.register(['lodash', './utils', './timeseries'], function (_export, _conte downsampleSeries = ts.downsample; groupBy = ts.groupBy; sumSeries = ts.sumSeries; - scale = ts.scale; delta = ts.delta; + + scale = function scale(factor, datapoints) { + return ts.scale(datapoints, factor); + }; + SUM = ts.SUM; COUNT = ts.COUNT; AVERAGE = ts.AVERAGE; diff --git a/dist/datasource-zabbix/dataProcessor.js.map b/dist/datasource-zabbix/dataProcessor.js.map index bd825df..654ddaf 100644 --- a/dist/datasource-zabbix/dataProcessor.js.map +++ b/dist/datasource-zabbix/dataProcessor.js.map @@ -1 +1 @@ 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_ from 'lodash';\nimport * as utils from './utils';\nimport ts from './timeseries';\n\nlet downsampleSeries = ts.downsample;\nlet groupBy = ts.groupBy;\nlet sumSeries = ts.sumSeries;\nlet delta = ts.delta;\nlet scale = (factor, datapoints) => ts.scale(datapoints, factor);\n\nlet SUM = ts.SUM;\nlet COUNT = ts.COUNT;\nlet AVERAGE = ts.AVERAGE;\nlet MIN = ts.MIN;\nlet MAX = ts.MAX;\nlet MEDIAN = ts.MEDIAN;\n\nfunction limit(order, n, orderByFunc, timeseries) {\n let orderByCallback = aggregationFunctions[orderByFunc];\n let sortByIteratee = (ts) => {\n let values = _.map(ts.datapoints, (point) => {\n return point[0];\n });\n return orderByCallback(values);\n };\n let sortedTimeseries = _.sortBy(timeseries, sortByIteratee);\n if (order === 'bottom') {\n return sortedTimeseries.slice(0, n);\n } else {\n return sortedTimeseries.slice(-n);\n }\n}\n\nfunction setAlias(alias, timeseries) {\n timeseries.target = alias;\n return timeseries;\n}\n\nfunction replaceAlias(regexp, newAlias, timeseries) {\n let pattern;\n if (utils.isRegex(regexp)) {\n pattern = utils.buildRegex(regexp);\n } else {\n pattern = regexp;\n }\n\n let alias = timeseries.target.replace(pattern, newAlias);\n timeseries.target = alias;\n return timeseries;\n}\n\nfunction setAliasByRegex(alias, timeseries) {\n timeseries.target = extractText(timeseries.target, alias);\n return timeseries;\n}\n\nfunction extractText(str, pattern) {\n var extractPattern = new RegExp(pattern);\n var extractedValue = extractPattern.exec(str);\n extractedValue = extractedValue[0];\n return extractedValue;\n}\n\nfunction groupByWrapper(interval, groupFunc, datapoints) {\n var groupByCallback = aggregationFunctions[groupFunc];\n return groupBy(datapoints, interval, groupByCallback);\n}\n\nfunction aggregateByWrapper(interval, aggregateFunc, datapoints) {\n // Flatten all points in frame and then just use groupBy()\n var flattenedPoints = _.flatten(datapoints, true);\n var groupByCallback = aggregationFunctions[aggregateFunc];\n return groupBy(flattenedPoints, interval, groupByCallback);\n}\n\nfunction aggregateWrapper(groupByCallback, interval, datapoints) {\n var flattenedPoints = _.flatten(datapoints, true);\n return groupBy(flattenedPoints, interval, groupByCallback);\n}\n\nfunction timeShift(interval, range) {\n let shift = utils.parseTimeShiftInterval(interval) / 1000;\n return _.map(range, time => {\n return time - shift;\n });\n}\n\nfunction unShiftTimeSeries(interval, datapoints) {\n let unshift = utils.parseTimeShiftInterval(interval);\n return _.map(datapoints, dp => {\n return [\n dp[0],\n dp[1] + unshift\n ];\n });\n}\n\nlet metricFunctions = {\n groupBy: groupByWrapper,\n scale: scale,\n delta: delta,\n aggregateBy: aggregateByWrapper,\n average: _.partial(aggregateWrapper, AVERAGE),\n min: _.partial(aggregateWrapper, MIN),\n max: _.partial(aggregateWrapper, MAX),\n median: _.partial(aggregateWrapper, MEDIAN),\n sum: _.partial(aggregateWrapper, SUM),\n count: _.partial(aggregateWrapper, COUNT),\n sumSeries: sumSeries,\n top: _.partial(limit, 'top'),\n bottom: _.partial(limit, 'bottom'),\n timeShift: timeShift,\n setAlias: setAlias,\n setAliasByRegex: setAliasByRegex,\n replaceAlias: replaceAlias\n};\n\nlet aggregationFunctions = {\n avg: AVERAGE,\n min: MIN,\n max: MAX,\n median: MEDIAN,\n sum: SUM,\n count: COUNT\n};\n\nexport default {\n downsampleSeries: downsampleSeries,\n groupBy: groupBy,\n AVERAGE: AVERAGE,\n MIN: MIN,\n MAX: MAX,\n MEDIAN: MEDIAN,\n SUM: SUM,\n COUNT: COUNT,\n unShiftTimeSeries: unShiftTimeSeries,\n\n get aggregationFunctions() {\n return aggregationFunctions;\n },\n\n get metricFunctions() {\n return metricFunctions;\n }\n};\n"]} \ No newline at end of file diff --git a/dist/datasource-zabbix/timeseries.js b/dist/datasource-zabbix/timeseries.js index 61c8818..3601454 100644 --- a/dist/datasource-zabbix/timeseries.js +++ b/dist/datasource-zabbix/timeseries.js @@ -12,6 +12,10 @@ System.register(['lodash', './utils'], function (_export, _context) { * timeseries.js * * This module contains functions for working with time series. + * + * datapoints - array of points where point is [value, timestamp]. In almost all cases (if other wasn't + * explicitly said) we assume datapoints are sorted by timestamp. + * */ function downsample(datapoints, time_to, ms_interval, func) { @@ -64,7 +68,7 @@ System.register(['lodash', './utils'], function (_export, _context) { * Group points by given time interval * datapoints: [[, ], ...] */ - function groupBy(interval, groupByCallback, datapoints) { + function groupBy(datapoints, interval, groupByCallback) { var ms_interval = utils.parseInterval(interval); // Calculate frame timestamps @@ -90,7 +94,7 @@ System.register(['lodash', './utils'], function (_export, _context) { /** * Summarize set of time series into one. - * @param {object[]} timeseries + * @param {datapoints[]} timeseries array of time series */ function sumSeries(timeseries) { @@ -124,7 +128,7 @@ System.register(['lodash', './utils'], function (_export, _context) { } return sortByTime(new_timeseries); - }function scale(factor, datapoints) { + }function scale(datapoints, factor) { return _.map(datapoints, function (point) { return [point[0] * factor, point[1]]; }); diff --git a/dist/datasource-zabbix/timeseries.js.map b/dist/datasource-zabbix/timeseries.js.map index 7ff82aa..cd0ed97 100644 --- a/dist/datasource-zabbix/timeseries.js.map +++ b/dist/datasource-zabbix/timeseries.js.map @@ -1 +1 @@ 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interpolated_timeseries[j][i][0];\n }\n new_timeseries.push([sum, new_timestamps[i]]);\n }\n\n return sortByTime(new_timeseries);\n}\n\nfunction scale(factor, datapoints) {\n return _.map(datapoints, point => {\n return [\n point[0] * factor,\n point[1]\n ];\n });\n}\n\nfunction delta(datapoints) {\n let newSeries = [];\n let deltaValue;\n for (var i = 1; i < datapoints.length; i++) {\n deltaValue = datapoints[i][0] - datapoints[i - 1][0];\n newSeries.push([deltaValue, datapoints[i][1]]);\n }\n return newSeries;\n}\n\nfunction SUM(values) {\n var sum = 0;\n _.each(values, function (value) {\n sum += value;\n });\n return sum;\n}\n\nfunction COUNT(values) {\n return values.length;\n}\n\nfunction AVERAGE(values) {\n var sum = 0;\n _.each(values, function (value) {\n sum += value;\n });\n return sum / values.length;\n}\n\nfunction MIN(values) {\n return _.min(values);\n}\n\nfunction MAX(values) {\n return _.max(values);\n}\n\nfunction MEDIAN(values) {\n var sorted = _.sortBy(values);\n 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* timeseries.js\n *\n * This module contains functions for working with time series.\n *\n * datapoints - array of points where point is [value, timestamp]. In almost all cases (if other wasn't\n * explicitly said) we assume datapoints are sorted by timestamp.\n *\n */\n\nimport _ from 'lodash';\nimport * as utils from './utils';\n\n/**\n * Downsample time series by using given function (avg, min, max).\n */\nfunction downsample(datapoints, time_to, ms_interval, func) {\n var downsampledSeries = [];\n var timeWindow = {\n from: time_to * 1000 - ms_interval,\n to: time_to * 1000\n };\n\n var points_sum = 0;\n var points_num = 0;\n var value_avg = 0;\n var frame = [];\n\n for (var i = datapoints.length - 1; i >= 0; i -= 1) {\n if (timeWindow.from < datapoints[i][1] && datapoints[i][1] <= timeWindow.to) {\n points_sum += datapoints[i][0];\n points_num++;\n frame.push(datapoints[i][0]);\n }\n else {\n value_avg = points_num ? points_sum / points_num : 0;\n\n if (func === \"max\") {\n downsampledSeries.push([_.max(frame), timeWindow.to]);\n }\n else if (func === \"min\") {\n downsampledSeries.push([_.min(frame), timeWindow.to]);\n }\n\n // avg by default\n else {\n downsampledSeries.push([value_avg, timeWindow.to]);\n }\n\n // Shift time window\n timeWindow.to = timeWindow.from;\n timeWindow.from -= ms_interval;\n\n points_sum = 0;\n points_num = 0;\n frame = [];\n\n // Process point again\n i++;\n }\n }\n return downsampledSeries.reverse();\n}\n\n/**\n * Group points by given time interval\n * datapoints: [[, ], ...]\n */\nfunction groupBy(datapoints, interval, groupByCallback) {\n var ms_interval = utils.parseInterval(interval);\n\n // Calculate frame timestamps\n var frames = _.groupBy(datapoints, function (point) {\n // Calculate time for group of points\n return Math.floor(point[1] / ms_interval) * ms_interval;\n });\n\n // frame: { '': [[, ], ...] }\n // return [{ '': }, { '': }, ...]\n var grouped = _.mapValues(frames, function (frame) {\n var points = _.map(frame, function (point) {\n return point[0];\n });\n return groupByCallback(points);\n });\n\n // Convert points to Grafana format\n return sortByTime(_.map(grouped, function (value, timestamp) {\n return [Number(value), Number(timestamp)];\n }));\n}\n\n/**\n * Summarize set of time series into one.\n * @param {datapoints[]} timeseries array of time series\n */\nfunction sumSeries(timeseries) {\n\n // Calculate new points for interpolation\n var new_timestamps = _.uniq(_.map(_.flatten(timeseries, true), function (point) {\n return point[1];\n }));\n new_timestamps = _.sortBy(new_timestamps);\n\n var interpolated_timeseries = _.map(timeseries, function (series) {\n var timestamps = _.map(series, function (point) {\n return point[1];\n });\n var new_points = _.map(_.difference(new_timestamps, timestamps), function (timestamp) {\n return [null, timestamp];\n });\n var new_series = series.concat(new_points);\n return sortByTime(new_series);\n });\n\n _.each(interpolated_timeseries, interpolateSeries);\n\n var new_timeseries = [];\n var sum;\n for (var i = new_timestamps.length - 1; i >= 0; i--) {\n sum = 0;\n for (var j = interpolated_timeseries.length - 1; j >= 0; j--) {\n sum += interpolated_timeseries[j][i][0];\n }\n new_timeseries.push([sum, new_timestamps[i]]);\n }\n\n return sortByTime(new_timeseries);\n}\n\nfunction scale(datapoints, factor) {\n return _.map(datapoints, point => {\n return [\n point[0] * factor,\n point[1]\n ];\n });\n}\n\nfunction delta(datapoints) {\n let newSeries = [];\n let deltaValue;\n for (var i = 1; i < datapoints.length; i++) {\n deltaValue = datapoints[i][0] - datapoints[i - 1][0];\n newSeries.push([deltaValue, datapoints[i][1]]);\n }\n return newSeries;\n}\n\nfunction SUM(values) {\n var sum = 0;\n _.each(values, function (value) {\n sum += value;\n });\n return sum;\n}\n\nfunction COUNT(values) {\n return values.length;\n}\n\nfunction AVERAGE(values) {\n var sum = 0;\n _.each(values, function (value) {\n sum += value;\n });\n return sum / values.length;\n}\n\nfunction MIN(values) {\n return _.min(values);\n}\n\nfunction MAX(values) {\n return _.max(values);\n}\n\nfunction MEDIAN(values) {\n var sorted = _.sortBy(values);\n return sorted[Math.floor(sorted.length / 2)];\n}\n\n///////////////////////\n// Utility functions //\n///////////////////////\n\nfunction sortByTime(series) {\n return _.sortBy(series, function (point) {\n return point[1];\n });\n}\n\n/**\n * Interpolate series with gaps\n */\nfunction interpolateSeries(series) {\n var left, right;\n\n // Interpolate series\n for (var i = series.length - 1; i >= 0; i--) {\n if (!series[i][0]) {\n left = findNearestLeft(series, series[i]);\n right = findNearestRight(series, series[i]);\n if (!left) {\n left = right;\n }\n if (!right) {\n right = left;\n }\n series[i][0] = linearInterpolation(series[i][1], left, right);\n }\n }\n return series;\n}\n\nfunction linearInterpolation(timestamp, left, right) {\n if (left[1] === right[1]) {\n return (left[0] + right[0]) / 2;\n } else {\n return (left[0] + (right[0] - left[0]) / (right[1] - left[1]) * (timestamp - left[1]));\n }\n}\n\nfunction findNearestRight(series, point) {\n var point_index = _.indexOf(series, point);\n var nearestRight;\n for (var i = point_index; i < series.length; i++) {\n if (series[i][0] !== null) {\n return series[i];\n }\n }\n return nearestRight;\n}\n\nfunction findNearestLeft(series, point) {\n var point_index = _.indexOf(series, point);\n var nearestLeft;\n for (var i = point_index; i > 0; i--) {\n if (series[i][0] !== null) {\n return series[i];\n }\n }\n return nearestLeft;\n}\n\n////////////\n// Export //\n////////////\n\nconst exportedFunctions = {\n downsample,\n groupBy,\n sumSeries,\n scale,\n delta,\n SUM,\n COUNT,\n AVERAGE,\n MIN,\n MAX,\n MEDIAN\n};\n\nexport default exportedFunctions;\n"]} \ No newline at end of file diff --git a/dist/test/datasource-zabbix/dataProcessor.js b/dist/test/datasource-zabbix/dataProcessor.js index 316e7eb..5c79cf3 100644 --- a/dist/test/datasource-zabbix/dataProcessor.js +++ b/dist/test/datasource-zabbix/dataProcessor.js @@ -23,8 +23,10 @@ function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { de var downsampleSeries = _timeseries2.default.downsample; var groupBy = _timeseries2.default.groupBy; var sumSeries = _timeseries2.default.sumSeries; -var scale = _timeseries2.default.scale; var delta = _timeseries2.default.delta; +var scale = function scale(factor, datapoints) { + return _timeseries2.default.scale(datapoints, factor); +}; var SUM = _timeseries2.default.SUM; var COUNT = _timeseries2.default.COUNT; @@ -81,19 +83,19 @@ function extractText(str, pattern) { function groupByWrapper(interval, groupFunc, datapoints) { var groupByCallback = aggregationFunctions[groupFunc]; - return groupBy(interval, groupByCallback, datapoints); + return groupBy(datapoints, interval, groupByCallback); } function aggregateByWrapper(interval, aggregateFunc, datapoints) { // Flatten all points in frame and then just use groupBy() var flattenedPoints = _lodash2.default.flatten(datapoints, true); var groupByCallback = aggregationFunctions[aggregateFunc]; - return groupBy(interval, groupByCallback, flattenedPoints); + return groupBy(flattenedPoints, interval, groupByCallback); } function aggregateWrapper(groupByCallback, interval, datapoints) { var flattenedPoints = _lodash2.default.flatten(datapoints, true); - return groupBy(interval, groupByCallback, flattenedPoints); + return groupBy(flattenedPoints, interval, groupByCallback); } function timeShift(interval, range) { diff --git a/dist/test/datasource-zabbix/timeseries.js b/dist/test/datasource-zabbix/timeseries.js index 040eb19..3149377 100644 --- a/dist/test/datasource-zabbix/timeseries.js +++ b/dist/test/datasource-zabbix/timeseries.js @@ -23,6 +23,10 @@ function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { de * timeseries.js * * This module contains functions for working with time series. + * + * datapoints - array of points where point is [value, timestamp]. In almost all cases (if other wasn't + * explicitly said) we assume datapoints are sorted by timestamp. + * */ function downsample(datapoints, time_to, ms_interval, func) { @@ -75,7 +79,7 @@ function downsample(datapoints, time_to, ms_interval, func) { * Group points by given time interval * datapoints: [[, ], ...] */ -function groupBy(interval, groupByCallback, datapoints) { +function groupBy(datapoints, interval, groupByCallback) { var ms_interval = utils.parseInterval(interval); // Calculate frame timestamps @@ -101,7 +105,7 @@ function groupBy(interval, groupByCallback, datapoints) { /** * Summarize set of time series into one. - * @param {object[]} timeseries + * @param {datapoints[]} timeseries array of time series */ function sumSeries(timeseries) { @@ -137,7 +141,7 @@ function sumSeries(timeseries) { return sortByTime(new_timeseries); } -function scale(factor, datapoints) { +function scale(datapoints, factor) { return _lodash2.default.map(datapoints, function (point) { return [point[0] * factor, point[1]]; }); diff --git a/src/datasource-zabbix/dataProcessor.js b/src/datasource-zabbix/dataProcessor.js index 79d500b..a35b05a 100644 --- a/src/datasource-zabbix/dataProcessor.js +++ b/src/datasource-zabbix/dataProcessor.js @@ -5,8 +5,8 @@ import ts from './timeseries'; let downsampleSeries = ts.downsample; let groupBy = ts.groupBy; let sumSeries = ts.sumSeries; -let scale = ts.scale; let delta = ts.delta; +let scale = (factor, datapoints) => ts.scale(datapoints, factor); let SUM = ts.SUM; let COUNT = ts.COUNT; @@ -63,19 +63,19 @@ function extractText(str, pattern) { function groupByWrapper(interval, groupFunc, datapoints) { var groupByCallback = aggregationFunctions[groupFunc]; - return groupBy(interval, groupByCallback, datapoints); + return groupBy(datapoints, interval, groupByCallback); } function aggregateByWrapper(interval, aggregateFunc, datapoints) { // Flatten all points in frame and then just use groupBy() var flattenedPoints = _.flatten(datapoints, true); var groupByCallback = aggregationFunctions[aggregateFunc]; - return groupBy(interval, groupByCallback, flattenedPoints); + return groupBy(flattenedPoints, interval, groupByCallback); } function aggregateWrapper(groupByCallback, interval, datapoints) { var flattenedPoints = _.flatten(datapoints, true); - return groupBy(interval, groupByCallback, flattenedPoints); + return groupBy(flattenedPoints, interval, groupByCallback); } function timeShift(interval, range) { diff --git a/src/datasource-zabbix/timeseries.js b/src/datasource-zabbix/timeseries.js index 7bae320..8560beb 100644 --- a/src/datasource-zabbix/timeseries.js +++ b/src/datasource-zabbix/timeseries.js @@ -2,6 +2,10 @@ * timeseries.js * * This module contains functions for working with time series. + * + * datapoints - array of points where point is [value, timestamp]. In almost all cases (if other wasn't + * explicitly said) we assume datapoints are sorted by timestamp. + * */ import _ from 'lodash'; @@ -62,7 +66,7 @@ function downsample(datapoints, time_to, ms_interval, func) { * Group points by given time interval * datapoints: [[, ], ...] */ -function groupBy(interval, groupByCallback, datapoints) { +function groupBy(datapoints, interval, groupByCallback) { var ms_interval = utils.parseInterval(interval); // Calculate frame timestamps @@ -88,7 +92,7 @@ function groupBy(interval, groupByCallback, datapoints) { /** * Summarize set of time series into one. - * @param {object[]} timeseries + * @param {datapoints[]} timeseries array of time series */ function sumSeries(timeseries) { @@ -124,7 +128,7 @@ function sumSeries(timeseries) { return sortByTime(new_timeseries); } -function scale(factor, datapoints) { +function scale(datapoints, factor) { return _.map(datapoints, point => { return [ point[0] * factor,