consul/ui-v2/vendor/metrics-providers/prometheus.js

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Add metrics rendering to the new topology view. (#8858) * Remove unused StatsCard component * Create Card and Stats contextual components with styling * Send endpoint, item, and protocol to Stats as props * WIP basic plumbing for metrics in Ember * WIP metrics data source now works for different protocols and produces reasonable mock responses * WIP sparkline component * Mostly working metrics and graphs in topology * Fix date in tooltip to actually be correct * Clean up console.log * Add loading frame and create a style sheet for Stats * Various polish fixes: - Loading state for graph - Added fake latency cookie value to test loading - If metrics provider has no series/stats for the service show something that doesn't look broken - Graph hover works right to the edge now - Stats boxes now wrap so they are either shown or not as will fit not cut off - Graph resizes when browser window size changes - Some tweaks to number formats and stat metrics to make them more compact/useful * Thread Protocol through topology model correctly * Rebuild assetfs * Fix failing tests and remove stats-card now it's changed and become different * Fix merge conflict * Update api doublt * more merge fixes * Add data-permission and id attr to Card * Run JS linter * Move things around so the tests run with everything available * Get tests passing: 1. Remove fakeLatency setTimeout (will be replaced with CONSUL_LATENCY in mocks) 2. Make sure any event handlers are removed * Make sure the Consul/scripts are available before the app * Make sure interval gets set if there is no cookie value * Upgrade mocks so we can use CONSUL_LATENCY * Fix handling of no series values from Prometheus * Update assetfs and fix a comment * Rebase and rebuild assetfs; fix tcp metric series units to be bits not bytes * Rebuild assetfs * Hide stats when provider is not configured Co-authored-by: kenia <keniavalladarez@gmail.com> Co-authored-by: John Cowen <jcowen@hashicorp.com>
2020-10-09 20:31:15 +00:00
/*eslint no-console: "off"*/
(function () {
var prometheusProvider = {
options: {},
/**
* init is called when the provide is first loaded.
*
* options.providerOptions contains any operator configured parameters
* specified in the Consul agent config that is serving the UI.
*
* options.proxy.baseURL contains the base URL if the agent has a metrics
* proxy configured. If it doesn't options.proxy will be null. The provider
* should throw an Exception (TODO: specific type?) if it requires a metrics
* proxy and one is not configured.
*/
init: function(options) {
this.options = options;
},
/**
* serviceRecentSummarySeries should return time series for a recent time
* period summarizing the usage of the named service.
*
* If these metrics aren't available then empty series may be returned.
*
* The period may (later) be specified in options.startTime and
* options.endTime.
*
* The service's protocol must be given as one of Consul's supported
* protocols e.g. "tcp", "http", "http2", "grpc". If it is empty or the
* provider doesn't recognize it it should treat it as "tcp" and provide
* just basic connection stats.
*
* The expected return value is a promise which resolves to an object that
* should look like the following:
*
* {
* series: [
* {
* label: "Requests per second",
* data: [...]
* },
* ...
* ]
* }
*
* Each time series' data array is simple an array of tuples with the first
* being a Date object and the second a floating point value:
*
* [[Date(1600944516286), 1234.9], [Date(1600944526286), 1234.9], ...]
*/
serviceRecentSummarySeries: function(serviceName, protocol, options) {
// Fetch time-series
var series = []
var labels = []
// Set the start and end range here so that all queries end up with
// identical time axes. Later we might accept these as options.
var now = (new Date()).getTime()/1000;
options.start = now - (15*60);
options.end = now;
if (this.hasL7Metrics(protocol)) {
series.push(this.fetchRequestRateSeries(serviceName, options))
labels.push("Requests per second")
series.push(this.fetchErrorRateSeries(serviceName, options))
labels.push("Errors per second")
} else {
// Fallback to just L4 metrics.
series.push(this.fetchServiceRxSeries(serviceName, options))
labels.push("Data rate received")
series.push(this.fetchServiceTxSeries(serviceName, options))
labels.push("Data rate transmitted")
}
var all = Promise.allSettled(series).
then(function(results){
var data = { series: [] }
for (var i = 0; i < series.length; i++) {
if (results[i].value) {
data.series.push({
label: labels[i],
data: results[i].value
});
} else if (results[i].reason) {
console.log("ERROR processing series", labels[i], results[i].reason)
}
}
return data
})
// Fetch the metrics async, and return a promise to the result.
return all
},
/**
* serviceRecentSummaryStats should return four summary statistics for a
* recent time period for the named service.
*
* If these metrics aren't available then an empty array may be returned.
*
* The period may (later) be specified in options.startTime and
* options.endTime.
*
* The service's protocol must be given as one of Consul's supported
* protocols e.g. "tcp", "http", "http2", "grpc". If it is empty or the
* provider doesn't recognize it it should treat it as "tcp" and provide
* just basic connection stats.
*
* The expected return value is a promise which resolves to an object that
* should look like the following:
*
* {
* stats: [ // We expect four of these for now.
* {
* // label should be 3 chars or fewer as an abbreviation
* label: "SR",
* // desc describes the stat in a tooltip
* desc: "Success Rate - the percentage of all requests that were not 5xx status",
* // value is a string allowing the provider to format it and add
* // units as appropriate. It should be as compact as possible.
* value: "98%",
* }
* ]
* }
*/
serviceRecentSummaryStats: function(serviceName, protocol, options) {
// Fetch stats
var stats = [];
if (this.hasL7Metrics(protocol)) {
stats.push(this.fetchRPS(serviceName, "service", options))
stats.push(this.fetchER(serviceName, "service", options))
stats.push(this.fetchPercentile(50, serviceName, "service", options))
stats.push(this.fetchPercentile(99, serviceName, "service", options))
} else {
// Fallback to just L4 metrics.
stats.push(this.fetchConnRate(serviceName, "service", options))
stats.push(this.fetchServiceRx(serviceName, "service", options))
stats.push(this.fetchServiceTx(serviceName, "service", options))
stats.push(this.fetchServiceNoRoute(serviceName, "service", options))
}
return this.fetchStats(stats)
},
/**
* upstreamRecentSummaryStats should return four summary statistics for each
* upstream service over a recent time period.
*
* If these metrics aren't available then an empty array may be returned.
*
* The period may (later) be specified in options.startTime and
* options.endTime.
*
* The expected return value format is shown below:
*
* {
* stats: {
* // Each upstream will appear as an entry keyed by the upstream
* // service name. The value is an array of stats with the same
* // format as serviceRecentSummaryStats response.stats. Note that
* // different upstreams might show different stats depending on
* // their protocol.
* "upstream_name": [
* {label: "SR", desc: "...", value: "99%"},
* ...
* ],
* ...
* }
* }
*/
upstreamRecentSummaryStats: function(serviceName, upstreamName, options) {
return this.fetchRecentSummaryStats(serviceName, "upstream", options)
},
/**
* downstreamRecentSummaryStats should return four summary statistics for each
* downstream service over a recent time period.
*
* If these metrics aren't available then an empty array may be returned.
*
* The period may (later) be specified in options.startTime and
* options.endTime.
*
* The expected return value format is shown below:
*
* {
* stats: {
* // Each downstream will appear as an entry keyed by the downstream
* // service name. The value is an array of stats with the same
* // format as serviceRecentSummaryStats response.stats. Note that
* // different downstreams might show different stats depending on
* // their protocol.
* "downstream_name": [
* {label: "SR", desc: "...", value: "99%"},
* ...
* ],
* ...
* }
* }
*/
downstreamRecentSummaryStats: function(serviceName, options) {
return this.fetchRecentSummaryStats(serviceName, "downstream", options)
},
fetchRecentSummaryStats: function(serviceName, type, options) {
// Fetch stats
var stats = [];
// We don't know which upstreams are HTTP/TCP so just fetch all of them.
// HTTP
stats.push(this.fetchRPS(serviceName, type, options))
stats.push(this.fetchER(serviceName, type, options))
stats.push(this.fetchPercentile(50, serviceName, type, options))
stats.push(this.fetchPercentile(99, serviceName, type, options))
// L4
stats.push(this.fetchConnRate(serviceName, type, options))
stats.push(this.fetchServiceRx(serviceName, type, options))
stats.push(this.fetchServiceTx(serviceName, type, options))
stats.push(this.fetchServiceNoRoute(serviceName, type, options))
return this.fetchStatsGrouped(stats)
},
hasL7Metrics: function(protocol) {
return protocol === "http" || protocol === "http2" || protocol === "grpc"
},
fetchStats: function(statsPromises) {
var all = Promise.allSettled(statsPromises).
then(function(results){
var data = {
stats: []
}
// Add all non-empty stats
for (var i = 0; i < statsPromises.length; i++) {
if (results[i].value) {
data.stats.push(results[i].value);
} else if (results[i].reason) {
console.log("ERROR processing stat", results[i].reason)
}
}
return data
})
// Fetch the metrics async, and return a promise to the result.
return all
},
fetchStatsGrouped: function(statsPromises) {
var all = Promise.allSettled(statsPromises).
then(function(results){
var data = {
stats: {}
}
// Add all non-empty stats
for (var i = 0; i < statsPromises.length; i++) {
if (results[i].value) {
for (var group in results[i].value) {
if (!results[i].value.hasOwnProperty(group)) continue;
if (!data.stats[group]) {
data.stats[group] = []
}
data.stats[group].push(results[i].value[group])
}
} else if (results[i].reason) {
console.log("ERROR processing stat", results[i].reason)
}
}
return data
})
// Fetch the metrics async, and return a promise to the result.
return all
},
reformatSeries: function(response) {
// Handle empty results from prometheus.
if (!response || !response.data || !response.data.result
|| response.data.result.length < 1) {
return [];
}
// Reformat the prometheus data to be the format we want which is
// essentially the same but with Date objects instead of unix timestamps.
return response.data.result[0].values.map(function(val){
return [new Date(val[0]*1000), parseFloat(val[1])]
})
},
fetchRequestRateSeries: function(serviceName, options){
var q = `sum(irate(envoy_listener_http_downstream_rq_xx{local_cluster="${serviceName}",envoy_http_conn_manager_prefix="public_listener_http"}[10m]))`
return this.fetchSeries(q, options).then(this.reformatSeries, function(xhr){
// Failure. log to console and return an blank result for now.
console.log("ERROR: failed to fetch requestRate", xhr.responseText)
return []
})
},
fetchErrorRateSeries: function(serviceName, options){
// 100 * to get a result in percent
var q = `sum(`+
`irate(envoy_listener_http_downstream_rq_xx{`+
`local_cluster="${serviceName}",`+
`envoy_http_conn_manager_prefix="public_listener_http",`+
`envoy_response_code_class="5"}[10m]`+
`)`+
`)`;
return this.fetchSeries(q, options).then(this.reformatSeries, function(xhr){
// Failure. log to console and return an blank result for now.
console.log("ERROR: failed to fetch errorRate", xhr.responseText)
return []
})
},
fetchServiceRxSeries: function(serviceName, options){
var q = `8 * sum(irate(envoy_tcp_downstream_cx_rx_bytes_total{local_cluster="${serviceName}", envoy_tcp_prefix="public_listener_tcp"}[10m]))`
return this.fetchSeries(q, options).then(this.reformatSeries, function(xhr){
// Failure. log to console and return an blank result for now.
console.log("ERROR: failed to fetch rx data rate", xhr.responseText)
return []
})
},
fetchServiceTxSeries: function(serviceName, options){
var q = `8 * sum(irate(envoy_tcp_downstream_cx_tx_bytes_total{local_cluster="${serviceName}", envoy_tcp_prefix="public_listener_tcp"}[10m]))`
return this.fetchSeries(q, options).then(this.reformatSeries, function(xhr){
// Failure. log to console and return an blank result for now.
console.log("ERROR: failed to fetch tx data rate", xhr.responseText)
return []
})
},
makeSubject: function(serviceName, type) {
if (type == "upstream") {
// {{GROUP}} is a placeholder that is replaced by the upstream name
return `${serviceName} &rarr; {{GROUP}}`;
}
if (type == "downstream") {
// {{GROUP}} is a placeholder that is replaced by the downstream name
return `{{GROUP}} &rarr; ${serviceName}`;
}
return serviceName
},
makeHTTPSelector: function(serviceName, type) {
// Downstreams are totally different
if (type == "downstream") {
return `consul_service="${serviceName}"`
}
var lc = `local_cluster="${serviceName}"`
if (type == "upstream") {
lc += `,envoy_http_conn_manager_prefix=~"upstream_.*"`;
} else {
// Only care about inbound public listener
lc += `,envoy_http_conn_manager_prefix="public_listener_http"`
}
return lc
},
makeTCPSelector: function(serviceName, type) {
// Downstreams are totally different
if (type == "downstream") {
return `consul_service="${serviceName}"`
}
var lc = `local_cluster="${serviceName}"`
if (type == "upstream") {
lc += `,envoy_tcp_prefix=~"upstream_.*"`;
} else {
// Only care about inbound public listener
lc += `,envoy_tcp_prefix="public_listener_tcp"`
}
return lc
},
groupQueryHTTP: function(type, q) {
if (type == "upstream") {
q += " by (envoy_http_conn_manager_prefix)"
// Extract the raw upstream service name to group results by
q = this.upstreamRelabelQueryHTTP(q)
} else if (type == "downstream") {
q += " by (local_cluster)"
q = this.downstreamRelabelQuery(q)
}
return q
},
groupQueryTCP: function(type, q) {
if (type == "upstream") {
q += " by (envoy_tcp_prefix)"
// Extract the raw upstream service name to group results by
q = this.upstreamRelabelQueryTCP(q)
} else if (type == "downstream") {
q += " by (local_cluster)"
q = this.downstreamRelabelQuery(q)
}
return q
},
upstreamRelabelQueryHTTP: function(q) {
return `label_replace(${q}, "upstream", "$1", "envoy_http_conn_manager_prefix", "upstream_(.*)_http")`
},
upstreamRelabelQueryTCP: function(q) {
return `label_replace(${q}, "upstream", "$1", "envoy_tcp_prefix", "upstream_(.*)_tcp")`
},
downstreamRelabelQuery: function(q) {
return `label_replace(${q}, "downstream", "$1", "local_cluster", "(.*)")`
},
groupBy: function(type) {
if (type == "service") {
return false
}
return type;
},
metricPrefixHTTP: function(type) {
if (type == "downstream") {
return "envoy_cluster_upstream_rq"
}
return "envoy_http_downstream_rq";
},
metricPrefixTCP: function(type) {
if (type == "downstream") {
return "envoy_cluster_upstream_cx"
}
return "envoy_tcp_downstream_cx";
},
fetchRPS: function(serviceName, type, options){
var sel = this.makeHTTPSelector(serviceName, type)
var subject = this.makeSubject(serviceName, type)
var metricPfx = this.metricPrefixHTTP(type)
var q = `sum(rate(${metricPfx}_completed{${sel}}[15m]))`
return this.fetchStat(this.groupQueryHTTP(type, q),
"RPS",
`<b>${subject}</b> request rate averaged over the last 15 minutes`,
shortNumStr,
this.groupBy(type)
)
},
fetchER: function(serviceName, type, options){
var sel = this.makeHTTPSelector(serviceName, type)
var subject = this.makeSubject(serviceName, type)
var groupBy = ""
if (type == "upstream") {
groupBy += " by (envoy_http_conn_manager_prefix)"
} else if (type == "downstream") {
groupBy += " by (local_cluster)"
}
var metricPfx = this.metricPrefixHTTP(type)
var q = `sum(rate(${metricPfx}_xx{${sel},envoy_response_code_class="5"}[15m]))${groupBy}/sum(rate(${metricPfx}_xx{${sel}}[15m]))${groupBy}`
if (type == "upstream") {
q = this.upstreamRelabelQueryHTTP(q)
} else if (type == "downstream") {
q = this.downstreamRelabelQuery(q)
}
return this.fetchStat(q,
"ER",
`Percentage of <b>${subject}</b> requests which were 5xx status over the last 15 minutes`,
function(val){
return shortNumStr(val)+"%"
},
this.groupBy(type)
)
},
fetchPercentile: function(percentile, serviceName, type, options){
var sel = this.makeHTTPSelector(serviceName, type)
var subject = this.makeSubject(serviceName, type)
var groupBy = "le"
if (type == "upstream") {
groupBy += ",envoy_http_conn_manager_prefix"
} else if (type == "downstream") {
groupBy += ",local_cluster"
}
var metricPfx = this.metricPrefixHTTP(type)
var q = `histogram_quantile(${percentile/100}, sum by(${groupBy}) (rate(${metricPfx}_time_bucket{${sel}}[15m])))`
if (type == "upstream") {
q = this.upstreamRelabelQueryHTTP(q)
} else if (type == "downstream") {
q = this.downstreamRelabelQuery(q)
}
return this.fetchStat(q,
`P${percentile}`,
`<b>${subject}</b> ${percentile}th percentile request service time over the last 15 minutes`,
shortTimeStr,
this.groupBy(type)
)
},
fetchConnRate: function(serviceName, type, options) {
var sel = this.makeTCPSelector(serviceName, type)
var subject = this.makeSubject(serviceName, type)
var metricPfx = this.metricPrefixTCP(type)
var q = `sum(rate(${metricPfx}_total{${sel}}[15m]))`
return this.fetchStat(this.groupQueryTCP(type, q),
"CR",
`<b>${subject}</b> inbound TCP connections per second averaged over the last 15 minutes`,
shortNumStr,
this.groupBy(type)
)
},
fetchServiceRx: function(serviceName, type, options) {
var sel = this.makeTCPSelector(serviceName, type)
var subject = this.makeSubject(serviceName, type)
var metricPfx = this.metricPrefixTCP(type)
var q = `8 * sum(rate(${metricPfx}_rx_bytes_total{${sel}}[15m]))`
return this.fetchStat(this.groupQueryTCP(type, q),
"RX",
`<b>${subject}</b> received bits per second averaged over the last 15 minutes`,
shortNumStr,
this.groupBy(type)
)
},
fetchServiceTx: function(serviceName, type, options) {
var sel = this.makeTCPSelector(serviceName, type)
var subject = this.makeSubject(serviceName, type)
var metricPfx = this.metricPrefixTCP(type)
var q = `8 * sum(rate(${metricPfx}_tx_bytes_total{${sel}}[15m]))`
var self = this
return this.fetchStat(this.groupQueryTCP(type, q),
"TX",
`<b>${subject}</b> transmitted bits per second averaged over the last 15 minutes`,
shortNumStr,
this.groupBy(type)
)
},
fetchServiceNoRoute: function(serviceName, type, options) {
var sel = this.makeTCPSelector(serviceName, type)
var subject = this.makeSubject(serviceName, type)
var metricPfx = this.metricPrefixTCP(type)
var metric = "_no_route"
if (type == "downstream") {
metric = "_connect_fail"
}
var q = `sum(rate(${metricPfx}${metric}{${sel}}[15m]))`
return this.fetchStat(this.groupQueryTCP(type, q),
"NR",
`<b>${subject}</b> unroutable (failed) connections per second averaged over the last 15 minutes`,
shortNumStr,
this.groupBy(type)
)
},
fetchStat: function(promql, label, desc, formatter, groupBy) {
if (!groupBy) {
// If we don't have a grouped result and its just a single stat, return
// no result as a zero not a missing stat.
promql += " OR on() vector(0)";
}
//console.log(promql)
var params = {
query: promql,
time: (new Date).getTime()/1000
}
return this.httpGet("/api/v1/query", params).then(function(response){
if (!groupBy) {
// Not grouped, expect just one stat value return that
var v = parseFloat(response.data.result[0].value[1])
return {
label: label,
desc: desc,
value: formatter(v)
}
}
var data = {};
for (var i = 0; i < response.data.result.length; i++) {
var res = response.data.result[i];
var v = parseFloat(res.value[1]);
var groupName = res.metric[groupBy];
data[groupName] = {
label: label,
desc: desc.replace('{{GROUP}}', groupName),
value: formatter(v)
}
}
return data;
}, function(xhr){
// Failure. log to console and return an blank result for now.
console.log("ERROR: failed to fetch stat", label, xhr.responseText)
return {}
})
},
fetchSeries: function(promql, options) {
var params = {
query: promql,
start: options.start,
end: options.end,
step: "10s",
timeout: "8s"
}
return this.httpGet("/api/v1/query_range", params)
},
httpGet: function(path, params) {
var xhr = new XMLHttpRequest();
var self = this
return new Promise(function(resolve, reject){
xhr.onreadystatechange = function(){
if (xhr.readyState !== 4) return;
if (xhr.status == 200) {
// Attempt to parse response as JSON and return the object
var o = JSON.parse(xhr.responseText)
resolve(o)
}
reject(xhr)
}
var url = self.baseURL()+path;
if (params) {
var qs = Object.keys(params).
map(function(key){
return encodeURIComponent(key)+"="+encodeURIComponent(params[key])
}).
join("&")
url = url+"?"+qs
}
xhr.open("GET", url, true);
xhr.send();
});
},
baseURL: function() {
// TODO support configuring a direct Prometheus via
// metrics_provider_options_json.
return "/v1/internal/ui/metrics-proxy"
}
}
// Helper functions
function shortNumStr(n) {
if (n < 1e3) {
if (Number.isInteger(n)) return ""+n
if (n >= 100) {
// Go to 3 significant figures but wrap it in Number to avoid scientific
// notation lie 2.3e+2 for 230.
return Number(n.toPrecision(3))
} if (n < 1) {
// Very small numbers show with limited precision to prevent long string
// of 0.000000.
return Number(n.toFixed(2));
} else {
// Two sig figs is enough below this
return Number(n.toPrecision(2));
}
}
if (n >= 1e3 && n < 1e6) return +(n / 1e3).toPrecision(3) + "k";
if (n >= 1e6 && n < 1e9) return +(n / 1e6).toPrecision(3) + "m";
if (n >= 1e9 && n < 1e12) return +(n / 1e9).toPrecision(3) + "g";
if (n >= 1e12) return +(n / 1e12).toFixed(0) + "t";
}
function shortTimeStr(n) {
if (n < 1e3) return Math.round(n) + "ms";
var secs = n / 1e3
if (secs < 60) return secs.toFixed(1) + "s"
var mins = secs/60
if (mins < 60) return mins.toFixed(1) + "m"
var hours = mins/60
if (hours < 24) return hours.toFixed(1) + "h"
var days = hours/24
return days.toFixed(1) + "d"
}
/* global consul:writable */
window.consul.registerMetricsProvider("prometheus", prometheusProvider)
}());