{"remainingRequest":"/var/www/html/payroll_manager/front-end/node_modules/thread-loader/dist/cjs.js??ref--4-2!/var/www/html/payroll_manager/front-end/node_modules/ts-loader/index.js??ref--4-3!/var/www/html/payroll_manager/front-end/node_modules/tslint-loader/index.js!/var/www/html/payroll_manager/front-end/src/main/webapp/app/modules/administration/metrics/metrics.tsx","dependencies":[{"path":"/var/www/html/payroll_manager/front-end/src/main/webapp/app/modules/administration/metrics/metrics.tsx","mtime":1533613272709},{"path":"/var/www/html/payroll_manager/front-end/node_modules/react-hot-loader/webpack.js","mtime":1505850161000},{"path":"/var/www/html/payroll_manager/front-end/node_modules/cache-loader/dist/cjs.js","mtime":0},{"path":"/var/www/html/payroll_manager/front-end/node_modules/thread-loader/dist/cjs.js","mtime":0},{"path":"/var/www/html/payroll_manager/front-end/node_modules/ts-loader/index.js","mtime":1530127508000},{"path":"/var/www/html/payroll_manager/front-end/node_modules/tslint-loader/index.js","mtime":1519899048000}],"contextDependencies":[],"result":["import * as tslib_1 from \"tslib\";\nimport React from 'react';\nimport { connect } from 'react-redux';\nimport { Table, Progress, Col, Row, Button } from 'reactstrap';\nimport { TextFormat } from 'react-jhipster';\nimport { FontAwesomeIcon } from '@fortawesome/react-fontawesome';\nimport { APP_WHOLE_NUMBER_FORMAT, APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT } from 'app/config/constants';\nimport { systemMetrics, systemThreadDump } from '../administration.reducer';\nimport MetricsModal from './metrics-modal';\nvar MetricsPage = /** @class */ (function (_super) {\n tslib_1.__extends(MetricsPage, _super);\n function MetricsPage() {\n var _this = _super !== null && _super.apply(this, arguments) || this;\n _this.state = {\n showModal: false\n };\n _this.getMetrics = function () {\n if (!_this.props.isFetching) {\n _this.props.systemMetrics();\n }\n };\n _this.getThreadDump = function () {\n _this.props.systemThreadDump();\n _this.setState({\n showModal: true\n });\n };\n _this.handleClose = function () {\n _this.setState({\n showModal: false\n });\n };\n _this.filterNaN = function (input) { return (isNaN(input) ? 0 : input); };\n _this.getStats = function (metrics) {\n var stat = {\n servicesStats: {},\n cachesStats: {}\n };\n if (!_this.props.isFetching && metrics && metrics.timers) {\n Object.keys(metrics.timers).forEach(function (key, indexNm) {\n if (key.indexOf('web.rest') !== -1 || key.indexOf('service') !== -1) {\n stat.servicesStats[key] = metrics.timers[key];\n }\n if (key.indexOf('net.sf.ehcache.Cache') !== -1) {\n // remove gets or puts\n var index = key.lastIndexOf('.');\n var newKey = key.substr(0, index);\n // Keep the name of the domain\n stat.cachesStats[newKey] = {\n name: newKey,\n value: metrics.timers[key]\n };\n }\n });\n }\n return stat;\n };\n _this.gaugeRow = function (metrics, label, key) {\n return metrics.gauges[key] ? (React.createElement(Row, null,\n React.createElement(Col, { md: \"9\" }, label),\n React.createElement(Col, { md: \"3\", className: \"text-right\" }, metrics.gauges[key].value))) : null;\n };\n _this.renderModal = function () { return React.createElement(MetricsModal, { handleClose: _this.handleClose, showModal: _this.state.showModal, threadDump: _this.props.threadDump }); };\n _this.renderGauges = function (metrics) { return (React.createElement(Row, null,\n React.createElement(Col, { sm: \"12\" },\n React.createElement(\"h3\", null, \"JVM Metrics\"),\n React.createElement(Row, null,\n React.createElement(Col, { md: \"4\" },\n React.createElement(\"b\", null, \"Memory\"),\n React.createElement(\"p\", null,\n React.createElement(\"span\", null, \"Total Memory\"),\n \" (\",\n React.createElement(TextFormat, { value: metrics.gauges['jvm.memory.total.used'].value / 1048576, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"M /\",\n ' ',\n React.createElement(TextFormat, { value: metrics.gauges['jvm.memory.total.max'].value / 1048576, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"M)\"),\n React.createElement(Progress, { animated: true, value: metrics.gauges['jvm.memory.total.used'].value, min: \"0\", max: metrics.gauges['jvm.memory.total.max'].value, color: \"success\" },\n React.createElement(\"span\", null,\n React.createElement(TextFormat, { value: (metrics.gauges['jvm.memory.total.used'].value * 100) / metrics.gauges['jvm.memory.total.max'].value, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"%\")),\n React.createElement(\"p\", null,\n React.createElement(\"span\", null, \"Heap Memory\"),\n \" (\",\n React.createElement(TextFormat, { value: metrics.gauges['jvm.memory.heap.used'].value / 1048576, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"M /\",\n ' ',\n React.createElement(TextFormat, { value: metrics.gauges['jvm.memory.heap.max'].value / 1048576, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"M)\"),\n React.createElement(Progress, { animated: true, min: \"0\", max: metrics.gauges['jvm.memory.heap.max'].value, value: metrics.gauges['jvm.memory.heap.used'].value, color: \"success\" },\n React.createElement(\"span\", null,\n React.createElement(TextFormat, { value: (metrics.gauges['jvm.memory.heap.used'].value * 100) / metrics.gauges['jvm.memory.heap.max'].value, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"%\")),\n React.createElement(\"p\", null,\n React.createElement(\"span\", null, \"Non-Heap Memory\"),\n \" (\",\n React.createElement(TextFormat, { value: metrics.gauges['jvm.memory.non-heap.used'].value / 1048576, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"M /\",\n ' ',\n React.createElement(TextFormat, { value: metrics.gauges['jvm.memory.non-heap.committed'].value / 1048576, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"M)\"),\n React.createElement(Progress, { animated: true, min: \"0\", max: metrics.gauges['jvm.memory.non-heap.committed'].value, value: metrics.gauges['jvm.memory.non-heap.used'].value, color: \"success\" },\n React.createElement(\"span\", null,\n React.createElement(TextFormat, { value: (metrics.gauges['jvm.memory.non-heap.used'].value * 100) / metrics.gauges['jvm.memory.non-heap.committed'].value, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"%\"))),\n React.createElement(Col, { md: \"4\" },\n React.createElement(\"b\", null, \"Threads\"),\n \" (Total: \",\n metrics.gauges['jvm.threads.count'].value,\n \")\",\n ' ',\n React.createElement(Button, { color: \"link\", className: \"hand\", onClick: _this.getThreadDump },\n React.createElement(FontAwesomeIcon, { icon: \"eye\" })),\n React.createElement(\"p\", null,\n React.createElement(\"span\", null, \"Runnable\"),\n \" \",\n metrics.gauges['jvm.threads.runnable.count'].value),\n React.createElement(Progress, { animated: true, min: \"0\", value: metrics.gauges['jvm.threads.runnable.count'].value, max: metrics.gauges['jvm.threads.count'].value, color: \"success\" },\n React.createElement(\"span\", null,\n React.createElement(TextFormat, { value: (metrics.gauges['jvm.threads.runnable.count'].value * 100) / metrics.gauges['jvm.threads.count'].value, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"%\")),\n React.createElement(\"p\", null,\n React.createElement(\"span\", null, \"Timed Waiting\"),\n \" (\",\n metrics.gauges['jvm.threads.timed_waiting.count'].value,\n \")\"),\n React.createElement(Progress, { animated: true, min: \"0\", value: metrics.gauges['jvm.threads.timed_waiting.count'].value, max: metrics.gauges['jvm.threads.count'].value, color: \"warning\" },\n React.createElement(\"span\", null,\n React.createElement(TextFormat, { value: (metrics.gauges['jvm.threads.timed_waiting.count'].value * 100) / metrics.gauges['jvm.threads.count'].value, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"%\")),\n React.createElement(\"p\", null,\n React.createElement(\"span\", null, \"Waiting\"),\n \" (\",\n metrics.gauges['jvm.threads.waiting.count'].value,\n \")\"),\n React.createElement(Progress, { animated: true, min: \"0\", value: metrics.gauges['jvm.threads.waiting.count'].value, max: metrics.gauges['jvm.threads.count'].value, color: \"warning\" },\n React.createElement(\"span\", null,\n React.createElement(TextFormat, { value: (metrics.gauges['jvm.threads.waiting.count'].value * 100) / metrics.gauges['jvm.threads.count'].value, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"%\")),\n React.createElement(\"p\", null,\n React.createElement(\"span\", null, \"Blocked\"),\n \" (\",\n metrics.gauges['jvm.threads.blocked.count'].value,\n \")\"),\n React.createElement(Progress, { animated: true, min: \"0\", value: metrics.gauges['jvm.threads.blocked.count'].value, max: metrics.gauges['jvm.threads.count'].value, color: \"success\" },\n React.createElement(\"span\", null,\n React.createElement(TextFormat, { value: (metrics.gauges['jvm.threads.blocked.count'].value * 100) / metrics.gauges['jvm.threads.count'].value, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"%\"))),\n React.createElement(Col, { md: \"4\" },\n React.createElement(\"b\", null, \"Garbage collections\"),\n _this.gaugeRow(metrics, 'Mark Sweep count', 'jvm.garbage.PS-MarkSweep.count'),\n _this.gaugeRow(metrics, 'Mark Sweep time', 'jvm.garbage.PS-MarkSweep.time'),\n _this.gaugeRow(metrics, 'Scavenge count', 'jvm.garbage.PS-Scavenge.count'),\n _this.gaugeRow(metrics, 'Scavenge time', 'jvm.garbage.PS-Scavenge.time')))))); };\n return _this;\n }\n MetricsPage.prototype.componentDidMount = function () {\n this.props.systemMetrics();\n };\n MetricsPage.prototype.render = function () {\n var _a = this.props, metrics = _a.metrics, isFetching = _a.isFetching;\n var data = metrics || {};\n var _b = this.getStats(data), servicesStats = _b.servicesStats, cachesStats = _b.cachesStats;\n return (React.createElement(\"div\", null,\n React.createElement(\"h2\", { className: \"metrics-page-heading\" }, \"Application Metrics\"),\n React.createElement(\"p\", null,\n React.createElement(Button, { onClick: this.getMetrics, color: isFetching ? 'btn btn-danger' : 'btn btn-primary', disabled: isFetching },\n React.createElement(FontAwesomeIcon, { icon: \"sync\" }),\n \"\\u00A0 Refresh\")),\n React.createElement(\"hr\", null),\n metrics.gauges ? this.renderGauges(metrics) : '',\n metrics.meters && metrics.timers ? (React.createElement(Row, null,\n React.createElement(Col, { sm: \"12\" },\n React.createElement(\"h3\", null, \"HTTP requests (events per second)\"),\n React.createElement(\"p\", null,\n React.createElement(\"span\", null, \"Active requests:\"),\n ' ',\n React.createElement(\"b\", null,\n React.createElement(TextFormat, { value: metrics.counters['com.codahale.metrics.servlet.InstrumentedFilter.activeRequests'].count, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT })),\n ' ',\n \"- \",\n React.createElement(\"span\", null, \"Total requests:\"),\n ' ',\n React.createElement(\"b\", null,\n React.createElement(TextFormat, { value: metrics.timers['com.codahale.metrics.servlet.InstrumentedFilter.requests'].count, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }))),\n React.createElement(Table, null,\n React.createElement(\"thead\", null,\n React.createElement(\"tr\", null,\n React.createElement(\"th\", null, \"Code\"),\n React.createElement(\"th\", null, \"Count\"),\n React.createElement(\"th\", { className: \"text-right\" }, \"Mean\"),\n React.createElement(\"th\", { className: \"text-right\" },\n React.createElement(\"span\", null, \"Average\"),\n \" (1 min)\"),\n React.createElement(\"th\", { className: \"text-right\" },\n React.createElement(\"span\", null, \"Average\"),\n \" (5 min)\"),\n React.createElement(\"th\", { className: \"text-right\" },\n React.createElement(\"span\", null, \"Average\"),\n \" (15 min)\"))),\n React.createElement(\"tbody\", null,\n React.createElement(\"tr\", { key: 0 },\n React.createElement(\"td\", null, \"OK\"),\n React.createElement(\"td\", null,\n React.createElement(Progress, { min: \"0\", max: metrics.timers['com.codahale.metrics.servlet.InstrumentedFilter.requests'].count, value: metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.ok'].count, color: \"success\", animated: true })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.ok'].mean_rate), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.ok'].m1_rate), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.ok'].m5_rate), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.ok'].m15_rate), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT }))),\n React.createElement(\"tr\", { key: 1 },\n React.createElement(\"td\", null, \"Not Found\"),\n React.createElement(\"td\", null,\n React.createElement(Progress, { min: \"0\", max: metrics.timers['com.codahale.metrics.servlet.InstrumentedFilter.requests'].count, value: metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.notFound'].count, color: \"success\", animated: true })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.notFound'].mean_rate), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.notFound'].m1_rate), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.notFound'].m5_rate), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.notFound'].m15_rate), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT }))),\n React.createElement(\"tr\", { key: 2 },\n React.createElement(\"td\", null, \"Server Error\"),\n React.createElement(\"td\", null,\n React.createElement(Progress, { min: \"0\", max: metrics.timers['com.codahale.metrics.servlet.InstrumentedFilter.requests'].count, value: metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.serverError'].count, color: \"success\", animated: true })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.serverError'].mean_rate), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.serverError'].m1_rate), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.serverError'].m5_rate), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.meters['com.codahale.metrics.servlet.InstrumentedFilter.responseCodes.serverError'].m15_rate), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })))))))) : (''),\n servicesStats ? (React.createElement(Row, null,\n React.createElement(Col, { sm: \"12\" },\n React.createElement(\"h3\", null, \"Services statistics (time in millisecond)\")),\n React.createElement(Table, null,\n React.createElement(\"thead\", null,\n React.createElement(\"tr\", null,\n React.createElement(\"th\", null, \"Service name\"),\n React.createElement(\"th\", null, \"Count\"),\n React.createElement(\"th\", null, \"Mean\"),\n React.createElement(\"th\", null, \"Min\"),\n React.createElement(\"th\", null, \"p50\"),\n React.createElement(\"th\", null, \"p75\"),\n React.createElement(\"th\", null, \"p95\"),\n React.createElement(\"th\", null, \"p99\"),\n React.createElement(\"th\", null, \"Max\"))),\n React.createElement(\"tbody\", null, Object.keys(servicesStats).map(function (key, index) { return (React.createElement(\"tr\", { key: key },\n React.createElement(\"td\", null, key),\n React.createElement(\"td\", null, servicesStats[key].count),\n React.createElement(\"td\", null,\n React.createElement(TextFormat, { value: servicesStats[key].mean * 1024, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT })),\n React.createElement(\"td\", null,\n React.createElement(TextFormat, { value: servicesStats[key].min * 1024, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT })),\n React.createElement(\"td\", null,\n React.createElement(TextFormat, { value: servicesStats[key].p50 * 1024, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT })),\n React.createElement(\"td\", null,\n React.createElement(TextFormat, { value: servicesStats[key].p75 * 1024, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT })),\n React.createElement(\"td\", null,\n React.createElement(TextFormat, { value: servicesStats[key].p95 * 1024, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT })),\n React.createElement(\"td\", null,\n React.createElement(TextFormat, { value: servicesStats[key].p99 * 1024, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT })),\n React.createElement(\"td\", null,\n React.createElement(TextFormat, { value: servicesStats[key].max * 1024, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT })))); }))))) : (''),\n cachesStats ? (React.createElement(Row, null,\n React.createElement(Col, { sm: \"12\" },\n React.createElement(\"h3\", null, \"Ehcache statistics\"),\n React.createElement(Table, null,\n React.createElement(\"thead\", null,\n React.createElement(\"tr\", null,\n React.createElement(\"th\", null, \"Cache Name\"),\n React.createElement(\"th\", null, \"Object\"),\n React.createElement(\"th\", null, \"Misses\"),\n React.createElement(\"th\", null, \"Eviction Count\"))),\n React.createElement(\"tbody\", null, Object.keys(cachesStats).map(function (k, v) { return (React.createElement(\"tr\", { key: k },\n React.createElement(\"td\", null, k),\n React.createElement(\"td\", null, metrics.gauges[k + \".objects\"].value),\n React.createElement(\"td\", null, metrics.gauges[k + \".hits\"].value),\n React.createElement(\"td\", null, metrics.gauges[k + \".misses\"].value),\n React.createElement(\"td\", null, metrics.gauges[k + \".eviction-count\"].value))); })))))) : (''),\n metrics.gauges &&\n metrics.gauges['HikariPool-1.pool.TotalConnections'] &&\n metrics.gauges['HikariPool-1.pool.TotalConnections'].value > 0 ? (React.createElement(Row, null,\n React.createElement(Col, { sm: \"12\" },\n React.createElement(\"h3\", null, \"DataSource statistics (time in millisecond)\"),\n React.createElement(Table, null,\n React.createElement(\"thead\", null,\n React.createElement(\"tr\", null,\n React.createElement(\"th\", null,\n React.createElement(\"span\", null, \"Usage\"),\n \"(\",\n metrics.gauges['HikariPool-1.pool.ActiveConnections'].value,\n \" /\",\n ' ',\n metrics.gauges['HikariPool-1.pool.TotalConnections'].value,\n \")\"),\n React.createElement(\"th\", { className: \"text-right\" }, \"Count\"),\n React.createElement(\"th\", { className: \"text-right\" }, \"Mean\"),\n React.createElement(\"th\", { className: \"text-right\" }, \"Min\"),\n React.createElement(\"th\", { className: \"text-right\" }, \"p50\"),\n React.createElement(\"th\", { className: \"text-right\" }, \"p75\"),\n React.createElement(\"th\", { className: \"text-right\" }, \"p95\"),\n React.createElement(\"th\", { className: \"text-right\" }, \"p99\"),\n React.createElement(\"th\", { className: \"text-right\" }, \"Max\"))),\n React.createElement(\"tbody\", null,\n React.createElement(\"tr\", { key: \"DB\" },\n React.createElement(\"td\", null,\n React.createElement(Progress, { min: \"0\", max: metrics.gauges['HikariPool-1.pool.TotalConnections'].value, value: metrics.gauges['HikariPool-1.pool.ActiveConnections'].value },\n React.createElement(\"span\", null,\n React.createElement(TextFormat, { value: (metrics.gauges['HikariPool-1.pool.ActiveConnections'].value * 100) /\n metrics.gauges['HikariPool-1.pool.TotalConnections'].value, type: \"number\", format: APP_WHOLE_NUMBER_FORMAT }),\n \"%\"))),\n React.createElement(\"td\", { className: \"text-right\" }, metrics.histograms['HikariPool-1.pool.Usage'].count),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.histograms['HikariPool-1.pool.Usage'].mean), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.histograms['HikariPool-1.pool.Usage'].min), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.histograms['HikariPool-1.pool.Usage'].p50), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.histograms['HikariPool-1.pool.Usage'].p75), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.histograms['HikariPool-1.pool.Usage'].p95), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.histograms['HikariPool-1.pool.Usage'].p99), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })),\n React.createElement(\"td\", { className: \"text-right\" },\n React.createElement(TextFormat, { value: this.filterNaN(metrics.histograms['HikariPool-1.pool.Usage'].max), type: \"number\", format: APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT })))))))) : (''),\n this.renderModal()));\n };\n return MetricsPage;\n}(React.Component));\nexport { MetricsPage };\nvar mapStateToProps = function (storeState) { return ({\n metrics: storeState.administration.metrics,\n isFetching: storeState.administration.loading,\n threadDump: storeState.administration.threadDump\n}); };\nvar mapDispatchToProps = { systemMetrics: systemMetrics, systemThreadDump: systemThreadDump };\nexport default connect(mapStateToProps, 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React from 'react';\nimport { connect } from 'react-redux';\nimport { Table, Progress, Col, Row, Button } from 'reactstrap';\nimport { TextFormat } from 'react-jhipster';\nimport { FontAwesomeIcon } from '@fortawesome/react-fontawesome';\n\nimport { APP_WHOLE_NUMBER_FORMAT, APP_TWO_DIGITS_AFTER_POINT_NUMBER_FORMAT } from 'app/config/constants';\nimport { systemMetrics, systemThreadDump } from '../administration.reducer';\nimport MetricsModal from './metrics-modal';\nimport { IRootState } from 'app/shared/reducers';\n\nexport interface IMetricsPageProps extends StateProps, DispatchProps {}\n\nexport interface IMetricsPageState {\n showModal: boolean;\n}\n\nexport class MetricsPage extends React.Component {\n state: IMetricsPageState = {\n showModal: false\n };\n\n componentDidMount() {\n this.props.systemMetrics();\n }\n\n getMetrics = () => {\n if (!this.props.isFetching) {\n this.props.systemMetrics();\n }\n };\n\n getThreadDump = () => {\n this.props.systemThreadDump();\n this.setState({\n showModal: true\n });\n };\n\n handleClose = () => {\n this.setState({\n showModal: false\n });\n };\n\n filterNaN = input => (isNaN(input) ? 0 : input);\n\n getStats = metrics => {\n const stat = {\n servicesStats: {},\n cachesStats: {}\n };\n if (!this.props.isFetching && metrics && metrics.timers) {\n Object.keys(metrics.timers).forEach((key, indexNm) => {\n if (key.indexOf('web.rest') !== -1 || key.indexOf('service') !== -1) {\n stat.servicesStats[key] = metrics.timers[key];\n }\n if (key.indexOf('net.sf.ehcache.Cache') !== -1) {\n // remove gets or puts\n const index = key.lastIndexOf('.');\n const newKey = key.substr(0, index);\n // Keep the name of the domain\n stat.cachesStats[newKey] = {\n name: newKey,\n value: metrics.timers[key]\n };\n }\n });\n }\n return stat;\n };\n\n gaugeRow = (metrics, label: String, key) =>\n metrics.gauges[key] ? (\n \n {label}\n \n {metrics.gauges[key].value}\n \n \n ) : null;\n\n renderModal = () => ;\n\n renderGauges = metrics => (\n \n \n

JVM Metrics

\n \n \n Memory\n

\n Total Memory (\n \n M /{' '}\n \n M)\n

\n \n \n \n %\n \n \n

\n Heap Memory (\n \n M /{' '}\n \n M)\n

\n \n \n \n %\n \n \n\n

\n Non-Heap Memory (\n \n M /{' '}\n \n M)\n

\n \n \n \n %\n \n \n \n \n Threads (Total: {metrics.gauges['jvm.threads.count'].value}){' '}\n \n

\n Runnable {metrics.gauges['jvm.threads.runnable.count'].value}\n

\n \n \n \n %\n \n \n

\n Timed Waiting ({metrics.gauges['jvm.threads.timed_waiting.count'].value})\n

\n \n \n \n %\n \n \n

\n Waiting ({metrics.gauges['jvm.threads.waiting.count'].value})\n

\n \n \n \n %\n \n \n

\n Blocked ({metrics.gauges['jvm.threads.blocked.count'].value})\n

\n \n \n \n %\n \n \n \n \n Garbage collections\n {this.gaugeRow(metrics, 'Mark Sweep count', 'jvm.garbage.PS-MarkSweep.count')}\n {this.gaugeRow(metrics, 'Mark Sweep time', 'jvm.garbage.PS-MarkSweep.time')}\n {this.gaugeRow(metrics, 'Scavenge count', 'jvm.garbage.PS-Scavenge.count')}\n {this.gaugeRow(metrics, 'Scavenge time', 'jvm.garbage.PS-Scavenge.time')}\n \n \n \n \n );\n\n render() {\n const { metrics, isFetching } = this.props;\n const data = metrics || {};\n const { servicesStats, cachesStats } = this.getStats(data);\n return (\n
\n

Application Metrics

\n

\n \n

\n
\n {metrics.gauges ? this.renderGauges(metrics) : ''}\n\n {metrics.meters && metrics.timers ? (\n \n \n

HTTP requests (events per second)

\n

\n Active requests:{' '}\n \n \n {' '}\n - Total requests:{' '}\n \n \n \n

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
CodeCountMean\n Average (1 min)\n \n Average (5 min)\n \n Average (15 min)\n
OK\n \n \n \n \n \n \n \n \n \n
Not Found\n \n \n \n \n \n \n \n \n \n
Server Error\n \n \n \n \n \n \n \n \n \n
\n \n \n ) : (\n ''\n )}\n {servicesStats ? (\n \n \n

Services statistics (time in millisecond)

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n {Object.keys(servicesStats).map((key, index) => (\n \n \n \n \n \n \n \n \n \n \n \n ))}\n \n
Service nameCountMeanMinp50p75p95p99Max
{key}{servicesStats[key].count}\n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n ) : (\n ''\n )}\n\n {cachesStats ? (\n \n \n

Ehcache statistics

\n \n \n \n \n \n \n \n \n \n \n {Object.keys(cachesStats).map((k, v) => (\n \n \n \n \n \n \n \n ))}\n \n
Cache NameObjectMissesEviction Count
{k}{metrics.gauges[`${k}.objects`].value}{metrics.gauges[`${k}.hits`].value}{metrics.gauges[`${k}.misses`].value}{metrics.gauges[`${k}.eviction-count`].value}
\n \n \n ) : (\n ''\n )}\n\n {metrics.gauges &&\n metrics.gauges['HikariPool-1.pool.TotalConnections'] &&\n metrics.gauges['HikariPool-1.pool.TotalConnections'].value > 0 ? (\n \n \n

DataSource statistics (time in millisecond)

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Usage\n ({metrics.gauges['HikariPool-1.pool.ActiveConnections'].value} /{' '}\n {metrics.gauges['HikariPool-1.pool.TotalConnections'].value})\n CountMeanMinp50p75p95p99Max
\n \n \n \n %\n \n \n {metrics.histograms['HikariPool-1.pool.Usage'].count}\n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n ) : (\n ''\n )}\n\n {this.renderModal()}\n
\n );\n }\n}\n\nconst mapStateToProps = (storeState: IRootState) => ({\n metrics: storeState.administration.metrics,\n isFetching: storeState.administration.loading,\n threadDump: storeState.administration.threadDump\n});\n\nconst mapDispatchToProps = { systemMetrics, systemThreadDump };\n\ntype StateProps = ReturnType;\ntype DispatchProps = typeof mapDispatchToProps;\n\nexport default connect(\n mapStateToProps,\n mapDispatchToProps\n)(MetricsPage);\n"]}]}