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feat: Elasticsearch filtering wip, moved to typescript
This commit is contained in:
Torkel Ödegaard
parent
ae3e869d70
commit
6224a25e42
@ -11,6 +11,8 @@ define([
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function (angular, _, moment, kbn, ElasticQueryBuilder, IndexPattern, ElasticResponse) {
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'use strict';
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ElasticResponse = ElasticResponse.ElasticResponse;
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/** @ngInject */
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function ElasticDatasource(instanceSettings, $q, backendSrv, templateSrv, timeSrv) {
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this.basicAuth = instanceSettings.basicAuth;
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@ -1,2 +0,0 @@
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declare var test: any;
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export default test;
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@ -1,350 +0,0 @@
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define([
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"lodash",
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"./query_def"
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],
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function (_, queryDef) {
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'use strict';
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function ElasticResponse(targets, response) {
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this.targets = targets;
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this.response = response;
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}
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ElasticResponse.prototype.processMetrics = function(esAgg, target, seriesList, props) {
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var metric, y, i, newSeries, bucket, value;
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for (y = 0; y < target.metrics.length; y++) {
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metric = target.metrics[y];
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if (metric.hide) {
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continue;
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}
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switch(metric.type) {
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case 'count': {
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newSeries = { datapoints: [], metric: 'count', props: props};
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for (i = 0; i < esAgg.buckets.length; i++) {
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bucket = esAgg.buckets[i];
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value = bucket.doc_count;
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newSeries.datapoints.push([value, bucket.key]);
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}
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seriesList.push(newSeries);
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break;
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}
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case 'percentiles': {
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if (esAgg.buckets.length === 0) {
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break;
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}
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var firstBucket = esAgg.buckets[0];
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var percentiles = firstBucket[metric.id].values;
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for (var percentileName in percentiles) {
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newSeries = {datapoints: [], metric: 'p' + percentileName, props: props, field: metric.field};
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for (i = 0; i < esAgg.buckets.length; i++) {
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bucket = esAgg.buckets[i];
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var values = bucket[metric.id].values;
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newSeries.datapoints.push([values[percentileName], bucket.key]);
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}
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seriesList.push(newSeries);
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}
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break;
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}
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case 'extended_stats': {
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for (var statName in metric.meta) {
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if (!metric.meta[statName]) {
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continue;
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}
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newSeries = {datapoints: [], metric: statName, props: props, field: metric.field};
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for (i = 0; i < esAgg.buckets.length; i++) {
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bucket = esAgg.buckets[i];
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var stats = bucket[metric.id];
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// add stats that are in nested obj to top level obj
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stats.std_deviation_bounds_upper = stats.std_deviation_bounds.upper;
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stats.std_deviation_bounds_lower = stats.std_deviation_bounds.lower;
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newSeries.datapoints.push([stats[statName], bucket.key]);
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}
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seriesList.push(newSeries);
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}
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break;
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}
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default: {
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newSeries = { datapoints: [], metric: metric.type, field: metric.field, props: props};
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for (i = 0; i < esAgg.buckets.length; i++) {
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bucket = esAgg.buckets[i];
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value = bucket[metric.id];
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if (value !== undefined) {
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if (value.normalized_value) {
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newSeries.datapoints.push([value.normalized_value, bucket.key]);
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} else {
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newSeries.datapoints.push([value.value, bucket.key]);
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}
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}
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}
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seriesList.push(newSeries);
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break;
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}
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}
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}
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};
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ElasticResponse.prototype.processAggregationDocs = function(esAgg, aggDef, target, docs, props) {
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var metric, y, i, bucket, metricName, doc;
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for (i = 0; i < esAgg.buckets.length; i++) {
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bucket = esAgg.buckets[i];
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doc = _.defaults({}, props);
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doc[aggDef.field] = bucket.key;
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for (y = 0; y < target.metrics.length; y++) {
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metric = target.metrics[y];
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switch(metric.type) {
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case "count": {
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metricName = this._getMetricName(metric.type);
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doc[metricName] = bucket.doc_count;
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break;
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}
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case 'extended_stats': {
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for (var statName in metric.meta) {
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if (!metric.meta[statName]) {
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continue;
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}
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var stats = bucket[metric.id];
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// add stats that are in nested obj to top level obj
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stats.std_deviation_bounds_upper = stats.std_deviation_bounds.upper;
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stats.std_deviation_bounds_lower = stats.std_deviation_bounds.lower;
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metricName = this._getMetricName(statName);
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doc[metricName] = stats[statName];
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}
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break;
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}
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default: {
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metricName = this._getMetricName(metric.type);
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var otherMetrics = _.filter(target.metrics, {type: metric.type});
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// if more of the same metric type include field field name in property
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if (otherMetrics.length > 1) {
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metricName += ' ' + metric.field;
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}
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doc[metricName] = bucket[metric.id].value;
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break;
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}
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}
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}
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docs.push(doc);
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}
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};
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// This is quite complex
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// neeed to recurise down the nested buckets to build series
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ElasticResponse.prototype.processBuckets = function(aggs, target, seriesList, docs, props, depth) {
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var bucket, aggDef, esAgg, aggId;
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var maxDepth = target.bucketAggs.length-1;
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for (aggId in aggs) {
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aggDef = _.find(target.bucketAggs, {id: aggId});
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esAgg = aggs[aggId];
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if (!aggDef) {
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continue;
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}
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if (depth === maxDepth) {
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if (aggDef.type === 'date_histogram') {
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this.processMetrics(esAgg, target, seriesList, props);
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} else {
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this.processAggregationDocs(esAgg, aggDef, target, docs, props);
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}
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} else {
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for (var nameIndex in esAgg.buckets) {
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bucket = esAgg.buckets[nameIndex];
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props = _.clone(props);
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if (bucket.key !== void 0) {
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props[aggDef.field] = bucket.key;
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} else {
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props["filter"] = nameIndex;
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}
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if (bucket.key_as_string) {
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props[aggDef.field] = bucket.key_as_string;
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}
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this.processBuckets(bucket, target, seriesList, docs, props, depth+1);
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}
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}
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}
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};
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ElasticResponse.prototype._getMetricName = function(metric) {
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var metricDef = _.find(queryDef.metricAggTypes, {value: metric});
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if (!metricDef) {
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metricDef = _.find(queryDef.extendedStats, {value: metric});
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}
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return metricDef ? metricDef.text : metric;
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};
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ElasticResponse.prototype._getSeriesName = function(series, target, metricTypeCount) {
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var metricName = this._getMetricName(series.metric);
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if (target.alias) {
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var regex = /\{\{([\s\S]+?)\}\}/g;
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return target.alias.replace(regex, function(match, g1, g2) {
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var group = g1 || g2;
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if (group.indexOf('term ') === 0) { return series.props[group.substring(5)]; }
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if (series.props[group] !== void 0) { return series.props[group]; }
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if (group === 'metric') { return metricName; }
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if (group === 'field') { return series.field; }
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return match;
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});
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}
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if (series.field && queryDef.isPipelineAgg(series.metric)) {
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var appliedAgg = _.find(target.metrics, { id: series.field });
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if (appliedAgg) {
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metricName += ' ' + queryDef.describeMetric(appliedAgg);
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} else {
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metricName = 'Unset';
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}
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} else if (series.field) {
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metricName += ' ' + series.field;
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}
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var propKeys = _.keys(series.props);
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if (propKeys.length === 0) {
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return metricName;
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}
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var name = '';
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for (var propName in series.props) {
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name += series.props[propName] + ' ';
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}
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if (metricTypeCount === 1) {
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return name.trim();
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}
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return name.trim() + ' ' + metricName;
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};
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ElasticResponse.prototype.nameSeries = function(seriesList, target) {
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var metricTypeCount = _.uniq(_.map(seriesList, 'metric')).length;
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var fieldNameCount = _.uniq(_.map(seriesList, 'field')).length;
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for (var i = 0; i < seriesList.length; i++) {
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var series = seriesList[i];
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series.target = this._getSeriesName(series, target, metricTypeCount, fieldNameCount);
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}
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};
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ElasticResponse.prototype.processHits = function(hits, seriesList) {
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var series = {target: 'docs', type: 'docs', datapoints: [], total: hits.total};
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var propName, hit, doc, i;
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for (i = 0; i < hits.hits.length; i++) {
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hit = hits.hits[i];
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doc = {
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_id: hit._id,
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_type: hit._type,
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_index: hit._index
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};
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if (hit._source) {
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for (propName in hit._source) {
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doc[propName] = hit._source[propName];
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}
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}
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for (propName in hit.fields) {
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doc[propName] = hit.fields[propName];
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}
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series.datapoints.push(doc);
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}
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seriesList.push(series);
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};
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ElasticResponse.prototype.trimDatapoints = function(aggregations, target) {
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var histogram = _.find(target.bucketAggs, { type: 'date_histogram'});
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var shouldDropFirstAndLast = histogram && histogram.settings && histogram.settings.trimEdges;
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if (shouldDropFirstAndLast) {
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var trim = histogram.settings.trimEdges;
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for(var prop in aggregations) {
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var points = aggregations[prop];
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if (points.datapoints.length > trim * 2) {
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points.datapoints = points.datapoints.slice(trim, points.datapoints.length - trim);
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}
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}
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}
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};
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ElasticResponse.prototype.getErrorFromElasticResponse = function(response, err) {
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var result = {};
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result.data = JSON.stringify(err, null, 4);
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if (err.root_cause && err.root_cause.length > 0 && err.root_cause[0].reason) {
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result.message = err.root_cause[0].reason;
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} else {
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result.message = err.reason || 'Unkown elatic error response';
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}
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if (response.$$config) {
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result.config = response.$$config;
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}
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return result;
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};
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ElasticResponse.prototype.getTimeSeries = function() {
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var seriesList = [];
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for (var i = 0; i < this.response.responses.length; i++) {
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var response = this.response.responses[i];
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if (response.error) {
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throw this.getErrorFromElasticResponse(this.response, response.error);
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}
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if (response.hits && response.hits.hits.length > 0) {
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this.processHits(response.hits, seriesList);
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}
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if (response.aggregations) {
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var aggregations = response.aggregations;
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var target = this.targets[i];
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var tmpSeriesList = [];
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var docs = [];
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this.processBuckets(aggregations, target, tmpSeriesList, docs, {}, 0);
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this.trimDatapoints(tmpSeriesList, target);
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this.nameSeries(tmpSeriesList, target);
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for (var y = 0; y < tmpSeriesList.length; y++) {
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seriesList.push(tmpSeriesList[y]);
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}
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if (seriesList.length === 0 && docs.length > 0) {
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seriesList.push({target: 'docs', type: 'docs', datapoints: docs});
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}
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}
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}
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return { data: seriesList };
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};
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return ElasticResponse;
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});
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346
public/app/plugins/datasource/elasticsearch/elastic_response.ts
Normal file
346
public/app/plugins/datasource/elasticsearch/elastic_response.ts
Normal file
@ -0,0 +1,346 @@
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///<reference path="../../../headers/common.d.ts" />
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import _ from 'lodash';
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import queryDef from "./query_def";
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export function ElasticResponse(targets, response) {
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this.targets = targets;
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this.response = response;
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}
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ElasticResponse.prototype.processMetrics = function(esAgg, target, seriesList, props) {
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var metric, y, i, newSeries, bucket, value;
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for (y = 0; y < target.metrics.length; y++) {
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metric = target.metrics[y];
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if (metric.hide) {
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continue;
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}
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switch (metric.type) {
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case 'count': {
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newSeries = { datapoints: [], metric: 'count', props: props};
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for (i = 0; i < esAgg.buckets.length; i++) {
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bucket = esAgg.buckets[i];
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value = bucket.doc_count;
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newSeries.datapoints.push([value, bucket.key]);
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}
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seriesList.push(newSeries);
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break;
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}
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case 'percentiles': {
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if (esAgg.buckets.length === 0) {
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break;
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}
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var firstBucket = esAgg.buckets[0];
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var percentiles = firstBucket[metric.id].values;
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for (var percentileName in percentiles) {
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newSeries = {datapoints: [], metric: 'p' + percentileName, props: props, field: metric.field};
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for (i = 0; i < esAgg.buckets.length; i++) {
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bucket = esAgg.buckets[i];
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var values = bucket[metric.id].values;
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newSeries.datapoints.push([values[percentileName], bucket.key]);
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}
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seriesList.push(newSeries);
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}
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break;
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}
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case 'extended_stats': {
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for (var statName in metric.meta) {
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if (!metric.meta[statName]) {
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continue;
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}
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newSeries = {datapoints: [], metric: statName, props: props, field: metric.field};
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for (i = 0; i < esAgg.buckets.length; i++) {
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bucket = esAgg.buckets[i];
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var stats = bucket[metric.id];
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// add stats that are in nested obj to top level obj
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stats.std_deviation_bounds_upper = stats.std_deviation_bounds.upper;
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stats.std_deviation_bounds_lower = stats.std_deviation_bounds.lower;
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newSeries.datapoints.push([stats[statName], bucket.key]);
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}
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seriesList.push(newSeries);
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}
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break;
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}
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default: {
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newSeries = { datapoints: [], metric: metric.type, field: metric.field, props: props};
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for (i = 0; i < esAgg.buckets.length; i++) {
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bucket = esAgg.buckets[i];
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value = bucket[metric.id];
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if (value !== undefined) {
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if (value.normalized_value) {
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newSeries.datapoints.push([value.normalized_value, bucket.key]);
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} else {
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newSeries.datapoints.push([value.value, bucket.key]);
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}
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}
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}
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seriesList.push(newSeries);
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break;
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}
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}
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}
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};
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ElasticResponse.prototype.processAggregationDocs = function(esAgg, aggDef, target, docs, props) {
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var metric, y, i, bucket, metricName, doc;
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for (i = 0; i < esAgg.buckets.length; i++) {
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bucket = esAgg.buckets[i];
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doc = _.defaults({}, props);
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doc[aggDef.field] = bucket.key;
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for (y = 0; y < target.metrics.length; y++) {
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metric = target.metrics[y];
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switch (metric.type) {
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case "count": {
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metricName = this._getMetricName(metric.type);
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doc[metricName] = bucket.doc_count;
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break;
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}
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case 'extended_stats': {
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for (var statName in metric.meta) {
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if (!metric.meta[statName]) {
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continue;
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}
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var stats = bucket[metric.id];
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// add stats that are in nested obj to top level obj
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stats.std_deviation_bounds_upper = stats.std_deviation_bounds.upper;
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stats.std_deviation_bounds_lower = stats.std_deviation_bounds.lower;
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metricName = this._getMetricName(statName);
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doc[metricName] = stats[statName];
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}
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break;
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}
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default: {
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metricName = this._getMetricName(metric.type);
|
||||
var otherMetrics = _.filter(target.metrics, {type: metric.type});
|
||||
|
||||
// if more of the same metric type include field field name in property
|
||||
if (otherMetrics.length > 1) {
|
||||
metricName += ' ' + metric.field;
|
||||
}
|
||||
|
||||
doc[metricName] = bucket[metric.id].value;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
docs.push(doc);
|
||||
}
|
||||
};
|
||||
|
||||
// This is quite complex
|
||||
// neeed to recurise down the nested buckets to build series
|
||||
ElasticResponse.prototype.processBuckets = function(aggs, target, seriesList, docs, props, depth) {
|
||||
var bucket, aggDef, esAgg, aggId;
|
||||
var maxDepth = target.bucketAggs.length-1;
|
||||
|
||||
for (aggId in aggs) {
|
||||
aggDef = _.find(target.bucketAggs, {id: aggId});
|
||||
esAgg = aggs[aggId];
|
||||
|
||||
if (!aggDef) {
|
||||
continue;
|
||||
}
|
||||
|
||||
if (depth === maxDepth) {
|
||||
if (aggDef.type === 'date_histogram') {
|
||||
this.processMetrics(esAgg, target, seriesList, props);
|
||||
} else {
|
||||
this.processAggregationDocs(esAgg, aggDef, target, docs, props);
|
||||
}
|
||||
} else {
|
||||
for (var nameIndex in esAgg.buckets) {
|
||||
bucket = esAgg.buckets[nameIndex];
|
||||
props = _.clone(props);
|
||||
if (bucket.key !== void 0) {
|
||||
props[aggDef.field] = bucket.key;
|
||||
} else {
|
||||
props["filter"] = nameIndex;
|
||||
}
|
||||
if (bucket.key_as_string) {
|
||||
props[aggDef.field] = bucket.key_as_string;
|
||||
}
|
||||
this.processBuckets(bucket, target, seriesList, docs, props, depth+1);
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
ElasticResponse.prototype._getMetricName = function(metric) {
|
||||
var metricDef = _.find(queryDef.metricAggTypes, {value: metric});
|
||||
if (!metricDef) {
|
||||
metricDef = _.find(queryDef.extendedStats, {value: metric});
|
||||
}
|
||||
|
||||
return metricDef ? metricDef.text : metric;
|
||||
};
|
||||
|
||||
ElasticResponse.prototype._getSeriesName = function(series, target, metricTypeCount) {
|
||||
var metricName = this._getMetricName(series.metric);
|
||||
|
||||
if (target.alias) {
|
||||
var regex = /\{\{([\s\S]+?)\}\}/g;
|
||||
|
||||
return target.alias.replace(regex, function(match, g1, g2) {
|
||||
var group = g1 || g2;
|
||||
|
||||
if (group.indexOf('term ') === 0) { return series.props[group.substring(5)]; }
|
||||
if (series.props[group] !== void 0) { return series.props[group]; }
|
||||
if (group === 'metric') { return metricName; }
|
||||
if (group === 'field') { return series.field; }
|
||||
|
||||
return match;
|
||||
});
|
||||
}
|
||||
|
||||
if (series.field && queryDef.isPipelineAgg(series.metric)) {
|
||||
var appliedAgg = _.find(target.metrics, { id: series.field });
|
||||
if (appliedAgg) {
|
||||
metricName += ' ' + queryDef.describeMetric(appliedAgg);
|
||||
} else {
|
||||
metricName = 'Unset';
|
||||
}
|
||||
} else if (series.field) {
|
||||
metricName += ' ' + series.field;
|
||||
}
|
||||
|
||||
var propKeys = _.keys(series.props);
|
||||
if (propKeys.length === 0) {
|
||||
return metricName;
|
||||
}
|
||||
|
||||
var name = '';
|
||||
for (var propName in series.props) {
|
||||
name += series.props[propName] + ' ';
|
||||
}
|
||||
|
||||
if (metricTypeCount === 1) {
|
||||
return name.trim();
|
||||
}
|
||||
|
||||
return name.trim() + ' ' + metricName;
|
||||
};
|
||||
|
||||
ElasticResponse.prototype.nameSeries = function(seriesList, target) {
|
||||
var metricTypeCount = _.uniq(_.map(seriesList, 'metric')).length;
|
||||
var fieldNameCount = _.uniq(_.map(seriesList, 'field')).length;
|
||||
|
||||
for (var i = 0; i < seriesList.length; i++) {
|
||||
var series = seriesList[i];
|
||||
series.target = this._getSeriesName(series, target, metricTypeCount, fieldNameCount);
|
||||
}
|
||||
};
|
||||
|
||||
ElasticResponse.prototype.processHits = function(hits, seriesList) {
|
||||
var series = {target: 'docs', type: 'docs', datapoints: [], total: hits.total};
|
||||
var propName, hit, doc, i;
|
||||
|
||||
for (i = 0; i < hits.hits.length; i++) {
|
||||
hit = hits.hits[i];
|
||||
doc = {
|
||||
_id: hit._id,
|
||||
_type: hit._type,
|
||||
_index: hit._index
|
||||
};
|
||||
|
||||
if (hit._source) {
|
||||
for (propName in hit._source) {
|
||||
doc[propName] = hit._source[propName];
|
||||
}
|
||||
}
|
||||
|
||||
for (propName in hit.fields) {
|
||||
doc[propName] = hit.fields[propName];
|
||||
}
|
||||
series.datapoints.push(doc);
|
||||
}
|
||||
|
||||
seriesList.push(series);
|
||||
};
|
||||
|
||||
ElasticResponse.prototype.trimDatapoints = function(aggregations, target) {
|
||||
var histogram = _.find(target.bucketAggs, { type: 'date_histogram'});
|
||||
|
||||
var shouldDropFirstAndLast = histogram && histogram.settings && histogram.settings.trimEdges;
|
||||
if (shouldDropFirstAndLast) {
|
||||
var trim = histogram.settings.trimEdges;
|
||||
for (var prop in aggregations) {
|
||||
var points = aggregations[prop];
|
||||
if (points.datapoints.length > trim * 2) {
|
||||
points.datapoints = points.datapoints.slice(trim, points.datapoints.length - trim);
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
ElasticResponse.prototype.getErrorFromElasticResponse = function(response, err) {
|
||||
var result: any = {};
|
||||
result.data = JSON.stringify(err, null, 4);
|
||||
if (err.root_cause && err.root_cause.length > 0 && err.root_cause[0].reason) {
|
||||
result.message = err.root_cause[0].reason;
|
||||
} else {
|
||||
result.message = err.reason || 'Unkown elatic error response';
|
||||
}
|
||||
|
||||
if (response.$$config) {
|
||||
result.config = response.$$config;
|
||||
}
|
||||
|
||||
return result;
|
||||
};
|
||||
|
||||
ElasticResponse.prototype.getTimeSeries = function() {
|
||||
var seriesList = [];
|
||||
|
||||
for (var i = 0; i < this.response.responses.length; i++) {
|
||||
var response = this.response.responses[i];
|
||||
if (response.error) {
|
||||
throw this.getErrorFromElasticResponse(this.response, response.error);
|
||||
}
|
||||
|
||||
if (response.hits && response.hits.hits.length > 0) {
|
||||
this.processHits(response.hits, seriesList);
|
||||
}
|
||||
|
||||
if (response.aggregations) {
|
||||
var aggregations = response.aggregations;
|
||||
var target = this.targets[i];
|
||||
var tmpSeriesList = [];
|
||||
var docs = [];
|
||||
|
||||
this.processBuckets(aggregations, target, tmpSeriesList, docs, {}, 0);
|
||||
this.trimDatapoints(tmpSeriesList, target);
|
||||
this.nameSeries(tmpSeriesList, target);
|
||||
|
||||
for (var y = 0; y < tmpSeriesList.length; y++) {
|
||||
seriesList.push(tmpSeriesList[y]);
|
||||
}
|
||||
|
||||
if (seriesList.length === 0 && docs.length > 0) {
|
||||
seriesList.push({target: 'docs', type: 'docs', datapoints: docs});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return { data: seriesList };
|
||||
};
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
|
||||
import {describe, beforeEach, it, expect} from 'test/lib/common';
|
||||
import ElasticResponse from '../elastic_response';
|
||||
import {ElasticResponse} from '../elastic_response';
|
||||
|
||||
describe('ElasticResponse', function() {
|
||||
var targets;
|
||||
|
||||
Loading…
Reference in New Issue
Block a user