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Move deps from _workspace/ to vendor/

Browse Source 
godep restore
pushd $GOPATH/src/github.com/appc/spec
git co master
popd
go get go4.org/errorutil
rm -rf Godeps
godep save ./...
git add vendor
git add -f $(git ls-files --other vendor/)
git co -- Godeps/LICENSES Godeps/.license_file_state Godeps/OWNERS
This commit is contained in:
Tim Hockin
2016-05-08 20:30:21 -07:00
parent 899f9b4e31
commit 3c0c5ed4e0
4400 changed files with 16739 additions and 376 deletions
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Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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"License" shall mean the terms and conditions for use, reproduction,
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"Contribution" shall mean any work of authorship, including
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You may add Your own copyright statement to Your modifications and
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for any such Derivative Works as a whole, provided Your use,
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the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
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this License, without any additional terms or conditions.
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the terms of any separate license agreement you may have executed
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6. Trademarks. This License does not grant permission to use the trade
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work stoppage, computer failure or malfunction, or any and all
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has been advised of the possibility of such damages.
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the Work or Derivative Works thereof, You may choose to offer,
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on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
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To apply the Apache License to your work, attach the following
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Prometheus instrumentation library for Go applications
Copyright 2012-2015 The Prometheus Authors
This product includes software developed at
SoundCloud Ltd. (http://soundcloud.com/).
The following components are included in this product:
goautoneg
http://bitbucket.org/ww/goautoneg
Copyright 2011, Open Knowledge Foundation Ltd.
See README.txt for license details.
perks - a fork of https://github.com/bmizerany/perks
https://github.com/beorn7/perks
Copyright 2013-2015 Blake Mizerany, Björn Rabenstein
See https://github.com/beorn7/perks/blob/master/README.md for license details.
Go support for Protocol Buffers - Google's data interchange format
http://github.com/golang/protobuf/
Copyright 2010 The Go Authors
See source code for license details.
Support for streaming Protocol Buffer messages for the Go language (golang).
https://github.com/matttproud/golang_protobuf_extensions
Copyright 2013 Matt T. Proud
Licensed under the Apache License, Version 2.0

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command-line-arguments.test

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# Overview
This is the [Prometheus](http://www.prometheus.io) telemetric
instrumentation client [Go](http://golang.org) client library. It
enable authors to define process-space metrics for their servers and
expose them through a web service interface for extraction,
aggregation, and a whole slew of other post processing techniques.
# Installing
$ go get github.com/prometheus/client_golang/prometheus
# Example
```go
package main
import (
"net/http"
"github.com/prometheus/client_golang/prometheus"
)
var (
indexed = prometheus.NewCounter(prometheus.CounterOpts{
Namespace: "my_company",
Subsystem: "indexer",
Name: "documents_indexed",
Help: "The number of documents indexed.",
})
size = prometheus.NewGauge(prometheus.GaugeOpts{
Namespace: "my_company",
Subsystem: "storage",
Name: "documents_total_size_bytes",
Help: "The total size of all documents in the storage.",
})
)
func main() {
http.Handle("/metrics", prometheus.Handler())
indexed.Inc()
size.Set(5)
http.ListenAndServe(":8080", nil)
}
func init() {
prometheus.MustRegister(indexed)
prometheus.MustRegister(size)
}
```
# Documentation
[![GoDoc](https://godoc.org/github.com/prometheus/client_golang?status.png)](https://godoc.org/github.com/prometheus/client_golang)

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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
// Collector is the interface implemented by anything that can be used by
// Prometheus to collect metrics. A Collector has to be registered for
// collection. See Register, MustRegister, RegisterOrGet, and MustRegisterOrGet.
//
// The stock metrics provided by this package (like Gauge, Counter, Summary) are
// also Collectors (which only ever collect one metric, namely itself). An
// implementer of Collector may, however, collect multiple metrics in a
// coordinated fashion and/or create metrics on the fly. Examples for collectors
// already implemented in this library are the metric vectors (i.e. collection
// of multiple instances of the same Metric but with different label values)
// like GaugeVec or SummaryVec, and the ExpvarCollector.
type Collector interface {
// Describe sends the super-set of all possible descriptors of metrics
// collected by this Collector to the provided channel and returns once
// the last descriptor has been sent. The sent descriptors fulfill the
// consistency and uniqueness requirements described in the Desc
// documentation. (It is valid if one and the same Collector sends
// duplicate descriptors. Those duplicates are simply ignored. However,
// two different Collectors must not send duplicate descriptors.) This
// method idempotently sends the same descriptors throughout the
// lifetime of the Collector. If a Collector encounters an error while
// executing this method, it must send an invalid descriptor (created
// with NewInvalidDesc) to signal the error to the registry.
Describe(chan<- *Desc)
// Collect is called by Prometheus when collecting metrics. The
// implementation sends each collected metric via the provided channel
// and returns once the last metric has been sent. The descriptor of
// each sent metric is one of those returned by Describe. Returned
// metrics that share the same descriptor must differ in their variable
// label values. This method may be called concurrently and must
// therefore be implemented in a concurrency safe way. Blocking occurs
// at the expense of total performance of rendering all registered
// metrics. Ideally, Collector implementations support concurrent
// readers.
Collect(chan<- Metric)
}
// SelfCollector implements Collector for a single Metric so that that the
// Metric collects itself. Add it as an anonymous field to a struct that
// implements Metric, and call Init with the Metric itself as an argument.
type SelfCollector struct {
self Metric
}
// Init provides the SelfCollector with a reference to the metric it is supposed
// to collect. It is usually called within the factory function to create a
// metric. See example.
func (c *SelfCollector) Init(self Metric) {
c.self = self
}
// Describe implements Collector.
func (c *SelfCollector) Describe(ch chan<- *Desc) {
ch <- c.self.Desc()
}
// Collect implements Collector.
func (c *SelfCollector) Collect(ch chan<- Metric) {
ch <- c.self
}

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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"errors"
"hash/fnv"
)
// Counter is a Metric that represents a single numerical value that only ever
// goes up. That implies that it cannot be used to count items whose number can
// also go down, e.g. the number of currently running goroutines. Those
// "counters" are represented by Gauges.
//
// A Counter is typically used to count requests served, tasks completed, errors
// occurred, etc.
//
// To create Counter instances, use NewCounter.
type Counter interface {
Metric
Collector
// Set is used to set the Counter to an arbitrary value. It is only used
// if you have to transfer a value from an external counter into this
// Prometheus metric. Do not use it for regular handling of a
// Prometheus counter (as it can be used to break the contract of
// monotonically increasing values).
Set(float64)
// Inc increments the counter by 1.
Inc()
// Add adds the given value to the counter. It panics if the value is <
// 0.
Add(float64)
}
// CounterOpts is an alias for Opts. See there for doc comments.
type CounterOpts Opts
// NewCounter creates a new Counter based on the provided CounterOpts.
func NewCounter(opts CounterOpts) Counter {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
)
result := &counter{value: value{desc: desc, valType: CounterValue, labelPairs: desc.constLabelPairs}}
result.Init(result) // Init self-collection.
return result
}
type counter struct {
value
}
func (c *counter) Add(v float64) {
if v < 0 {
panic(errors.New("counter cannot decrease in value"))
}
c.value.Add(v)
}
// CounterVec is a Collector that bundles a set of Counters that all share the
// same Desc, but have different values for their variable labels. This is used
// if you want to count the same thing partitioned by various dimensions
// (e.g. number of HTTP requests, partitioned by response code and
// method). Create instances with NewCounterVec.
//
// CounterVec embeds MetricVec. See there for a full list of methods with
// detailed documentation.
type CounterVec struct {
MetricVec
}
// NewCounterVec creates a new CounterVec based on the provided CounterOpts and
// partitioned by the given label names. At least one label name must be
// provided.
func NewCounterVec(opts CounterOpts, labelNames []string) *CounterVec {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
labelNames,
opts.ConstLabels,
)
return &CounterVec{
MetricVec: MetricVec{
children: map[uint64]Metric{},
desc: desc,
hash: fnv.New64a(),
newMetric: func(lvs ...string) Metric {
result := &counter{value: value{
desc: desc,
valType: CounterValue,
labelPairs: makeLabelPairs(desc, lvs),
}}
result.Init(result) // Init self-collection.
return result
},
},
}
}
// GetMetricWithLabelValues replaces the method of the same name in
// MetricVec. The difference is that this method returns a Counter and not a
// Metric so that no type conversion is required.
func (m *CounterVec) GetMetricWithLabelValues(lvs ...string) (Counter, error) {
metric, err := m.MetricVec.GetMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Counter), err
}
return nil, err
}
// GetMetricWith replaces the method of the same name in MetricVec. The
// difference is that this method returns a Counter and not a Metric so that no
// type conversion is required.
func (m *CounterVec) GetMetricWith(labels Labels) (Counter, error) {
metric, err := m.MetricVec.GetMetricWith(labels)
if metric != nil {
return metric.(Counter), err
}
return nil, err
}
// WithLabelValues works as GetMetricWithLabelValues, but panics where
// GetMetricWithLabelValues would have returned an error. By not returning an
// error, WithLabelValues allows shortcuts like
// myVec.WithLabelValues("404", "GET").Add(42)
func (m *CounterVec) WithLabelValues(lvs ...string) Counter {
return m.MetricVec.WithLabelValues(lvs...).(Counter)
}
// With works as GetMetricWith, but panics where GetMetricWithLabels would have
// returned an error. By not returning an error, With allows shortcuts like
// myVec.With(Labels{"code": "404", "method": "GET"}).Add(42)
func (m *CounterVec) With(labels Labels) Counter {
return m.MetricVec.With(labels).(Counter)
}
// CounterFunc is a Counter whose value is determined at collect time by calling a
// provided function.
//
// To create CounterFunc instances, use NewCounterFunc.
type CounterFunc interface {
Metric
Collector
}
// NewCounterFunc creates a new CounterFunc based on the provided
// CounterOpts. The value reported is determined by calling the given function
// from within the Write method. Take into account that metric collection may
// happen concurrently. If that results in concurrent calls to Write, like in
// the case where a CounterFunc is directly registered with Prometheus, the
// provided function must be concurrency-safe. The function should also honor
// the contract for a Counter (values only go up, not down), but compliance will
// not be checked.
func NewCounterFunc(opts CounterOpts, function func() float64) CounterFunc {
return newValueFunc(NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
), CounterValue, function)
}

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package prometheus
import (
"bytes"
"errors"
"fmt"
"hash/fnv"
"regexp"
"sort"
"strings"
"github.com/golang/protobuf/proto"
dto "github.com/prometheus/client_model/go"
)
var (
metricNameRE = regexp.MustCompile(`^[a-zA-Z_][a-zA-Z0-9_:]*$`)
labelNameRE = regexp.MustCompile("^[a-zA-Z_][a-zA-Z0-9_]*$")
)
// reservedLabelPrefix is a prefix which is not legal in user-supplied
// label names.
const reservedLabelPrefix = "__"
// Labels represents a collection of label name -> value mappings. This type is
// commonly used with the With(Labels) and GetMetricWith(Labels) methods of
// metric vector Collectors, e.g.:
// myVec.With(Labels{"code": "404", "method": "GET"}).Add(42)
//
// The other use-case is the specification of constant label pairs in Opts or to
// create a Desc.
type Labels map[string]string
// Desc is the descriptor used by every Prometheus Metric. It is essentially
// the immutable meta-data of a Metric. The normal Metric implementations
// included in this package manage their Desc under the hood. Users only have to
// deal with Desc if they use advanced features like the ExpvarCollector or
// custom Collectors and Metrics.
//
// Descriptors registered with the same registry have to fulfill certain
// consistency and uniqueness criteria if they share the same fully-qualified
// name: They must have the same help string and the same label names (aka label
// dimensions) in each, constLabels and variableLabels, but they must differ in
// the values of the constLabels.
//
// Descriptors that share the same fully-qualified names and the same label
// values of their constLabels are considered equal.
//
// Use NewDesc to create new Desc instances.
type Desc struct {
// fqName has been built from Namespace, Subsystem, and Name.
fqName string
// help provides some helpful information about this metric.
help string
// constLabelPairs contains precalculated DTO label pairs based on
// the constant labels.
constLabelPairs []*dto.LabelPair
// VariableLabels contains names of labels for which the metric
// maintains variable values.
variableLabels []string
// id is a hash of the values of the ConstLabels and fqName. This
// must be unique among all registered descriptors and can therefore be
// used as an identifier of the descriptor.
id uint64
// dimHash is a hash of the label names (preset and variable) and the
// Help string. Each Desc with the same fqName must have the same
// dimHash.
dimHash uint64
// err is an error that occured during construction. It is reported on
// registration time.
err error
}
// NewDesc allocates and initializes a new Desc. Errors are recorded in the Desc
// and will be reported on registration time. variableLabels and constLabels can
// be nil if no such labels should be set. fqName and help must not be empty.
//
// variableLabels only contain the label names. Their label values are variable
// and therefore not part of the Desc. (They are managed within the Metric.)
//
// For constLabels, the label values are constant. Therefore, they are fully
// specified in the Desc. See the Opts documentation for the implications of
// constant labels.
func NewDesc(fqName, help string, variableLabels []string, constLabels Labels) *Desc {
d := &Desc{
fqName: fqName,
help: help,
variableLabels: variableLabels,
}
if help == "" {
d.err = errors.New("empty help string")
return d
}
if !metricNameRE.MatchString(fqName) {
d.err = fmt.Errorf("%q is not a valid metric name", fqName)
return d
}
// labelValues contains the label values of const labels (in order of
// their sorted label names) plus the fqName (at position 0).
labelValues := make([]string, 1, len(constLabels)+1)
labelValues[0] = fqName
labelNames := make([]string, 0, len(constLabels)+len(variableLabels))
labelNameSet := map[string]struct{}{}
// First add only the const label names and sort them...
for labelName := range constLabels {
if !checkLabelName(labelName) {
d.err = fmt.Errorf("%q is not a valid label name", labelName)
return d
}
labelNames = append(labelNames, labelName)
labelNameSet[labelName] = struct{}{}
}
sort.Strings(labelNames)
// ... so that we can now add const label values in the order of their names.
for _, labelName := range labelNames {
labelValues = append(labelValues, constLabels[labelName])
}
// Now add the variable label names, but prefix them with something that
// cannot be in a regular label name. That prevents matching the label
// dimension with a different mix between preset and variable labels.
for _, labelName := range variableLabels {
if !checkLabelName(labelName) {
d.err = fmt.Errorf("%q is not a valid label name", labelName)
return d
}
labelNames = append(labelNames, "$"+labelName)
labelNameSet[labelName] = struct{}{}
}
if len(labelNames) != len(labelNameSet) {
d.err = errors.New("duplicate label names")
return d
}
h := fnv.New64a()
var b bytes.Buffer // To copy string contents into, avoiding []byte allocations.
for _, val := range labelValues {
b.Reset()
b.WriteString(val)
b.WriteByte(separatorByte)
h.Write(b.Bytes())
}
d.id = h.Sum64()
// Sort labelNames so that order doesn't matter for the hash.
sort.Strings(labelNames)
// Now hash together (in this order) the help string and the sorted
// label names.
h.Reset()
b.Reset()
b.WriteString(help)
b.WriteByte(separatorByte)
h.Write(b.Bytes())
for _, labelName := range labelNames {
b.Reset()
b.WriteString(labelName)
b.WriteByte(separatorByte)
h.Write(b.Bytes())
}
d.dimHash = h.Sum64()
d.constLabelPairs = make([]*dto.LabelPair, 0, len(constLabels))
for n, v := range constLabels {
d.constLabelPairs = append(d.constLabelPairs, &dto.LabelPair{
Name: proto.String(n),
Value: proto.String(v),
})
}
sort.Sort(LabelPairSorter(d.constLabelPairs))
return d
}
// NewInvalidDesc returns an invalid descriptor, i.e. a descriptor with the
// provided error set. If a collector returning such a descriptor is registered,
// registration will fail with the provided error. NewInvalidDesc can be used by
// a Collector to signal inability to describe itself.
func NewInvalidDesc(err error) *Desc {
return &Desc{
err: err,
}
}
func (d *Desc) String() string {
lpStrings := make([]string, 0, len(d.constLabelPairs))
for _, lp := range d.constLabelPairs {
lpStrings = append(
lpStrings,
fmt.Sprintf("%s=%q", lp.GetName(), lp.GetValue()),
)
}
return fmt.Sprintf(
"Desc{fqName: %q, help: %q, constLabels: {%s}, variableLabels: %v}",
d.fqName,
d.help,
strings.Join(lpStrings, ","),
d.variableLabels,
)
}
func checkLabelName(l string) bool {
return labelNameRE.MatchString(l) &&
!strings.HasPrefix(l, reservedLabelPrefix)
}

109
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Package prometheus provides embeddable metric primitives for servers and
// standardized exposition of telemetry through a web services interface.
//
// All exported functions and methods are safe to be used concurrently unless
// specified otherwise.
//
// To expose metrics registered with the Prometheus registry, an HTTP server
// needs to know about the Prometheus handler. The usual endpoint is "/metrics".
//
// http.Handle("/metrics", prometheus.Handler())
//
// As a starting point a very basic usage example:
//
// package main
//
// import (
// "net/http"
//
// "github.com/prometheus/client_golang/prometheus"
// )
//
// var (
// cpuTemp = prometheus.NewGauge(prometheus.GaugeOpts{
// Name: "cpu_temperature_celsius",
// Help: "Current temperature of the CPU.",
// })
// hdFailures = prometheus.NewCounter(prometheus.CounterOpts{
// Name: "hd_errors_total",
// Help: "Number of hard-disk errors.",
// })
// )
//
// func init() {
// prometheus.MustRegister(cpuTemp)
// prometheus.MustRegister(hdFailures)
// }
//
// func main() {
// cpuTemp.Set(65.3)
// hdFailures.Inc()
//
// http.Handle("/metrics", prometheus.Handler())
// http.ListenAndServe(":8080", nil)
// }
//
//
// This is a complete program that exports two metrics, a Gauge and a Counter.
// It also exports some stats about the HTTP usage of the /metrics
// endpoint. (See the Handler function for more detail.)
//
// Two more advanced metric types are the Summary and Histogram.
//
// In addition to the fundamental metric types Gauge, Counter, Summary, and
// Histogram, a very important part of the Prometheus data model is the
// partitioning of samples along dimensions called labels, which results in
// metric vectors. The fundamental types are GaugeVec, CounterVec, SummaryVec,
// and HistogramVec.
//
// Those are all the parts needed for basic usage. Detailed documentation and
// examples are provided below.
//
// Everything else this package offers is essentially for "power users" only. A
// few pointers to "power user features":
//
// All the various ...Opts structs have a ConstLabels field for labels that
// never change their value (which is only useful under special circumstances,
// see documentation of the Opts type).
//
// The Untyped metric behaves like a Gauge, but signals the Prometheus server
// not to assume anything about its type.
//
// Functions to fine-tune how the metric registry works: EnableCollectChecks,
// PanicOnCollectError, Register, Unregister, SetMetricFamilyInjectionHook.
//
// For custom metric collection, there are two entry points: Custom Metric
// implementations and custom Collector implementations. A Metric is the
// fundamental unit in the Prometheus data model: a sample at a point in time
// together with its meta-data (like its fully-qualified name and any number of
// pairs of label name and label value) that knows how to marshal itself into a
// data transfer object (aka DTO, implemented as a protocol buffer). A Collector
// gets registered with the Prometheus registry and manages the collection of
// one or more Metrics. Many parts of this package are building blocks for
// Metrics and Collectors. Desc is the metric descriptor, actually used by all
// metrics under the hood, and by Collectors to describe the Metrics to be
// collected, but only to be dealt with by users if they implement their own
// Metrics or Collectors. To create a Desc, the BuildFQName function will come
// in handy. Other useful components for Metric and Collector implementation
// include: LabelPairSorter to sort the DTO version of label pairs,
// NewConstMetric and MustNewConstMetric to create "throw away" Metrics at
// collection time, MetricVec to bundle custom Metrics into a metric vector
// Collector, SelfCollector to make a custom Metric collect itself.
//
// A good example for a custom Collector is the ExpVarCollector included in this
// package, which exports variables exported via the "expvar" package as
// Prometheus metrics.
package prometheus

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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"encoding/json"
"expvar"
)
// ExpvarCollector collects metrics from the expvar interface. It provides a
// quick way to expose numeric values that are already exported via expvar as
// Prometheus metrics. Note that the data models of expvar and Prometheus are
// fundamentally different, and that the ExpvarCollector is inherently
// slow. Thus, the ExpvarCollector is probably great for experiments and
// prototying, but you should seriously consider a more direct implementation of
// Prometheus metrics for monitoring production systems.
//
// Use NewExpvarCollector to create new instances.
type ExpvarCollector struct {
exports map[string]*Desc
}
// NewExpvarCollector returns a newly allocated ExpvarCollector that still has
// to be registered with the Prometheus registry.
//
// The exports map has the following meaning:
//
// The keys in the map correspond to expvar keys, i.e. for every expvar key you
// want to export as Prometheus metric, you need an entry in the exports
// map. The descriptor mapped to each key describes how to export the expvar
// value. It defines the name and the help string of the Prometheus metric
// proxying the expvar value. The type will always be Untyped.
//
// For descriptors without variable labels, the expvar value must be a number or
// a bool. The number is then directly exported as the Prometheus sample
// value. (For a bool, 'false' translates to 0 and 'true' to 1). Expvar values
// that are not numbers or bools are silently ignored.
//
// If the descriptor has one variable label, the expvar value must be an expvar
// map. The keys in the expvar map become the various values of the one
// Prometheus label. The values in the expvar map must be numbers or bools again
// as above.
//
// For descriptors with more than one variable label, the expvar must be a
// nested expvar map, i.e. where the values of the topmost map are maps again
// etc. until a depth is reached that corresponds to the number of labels. The
// leaves of that structure must be numbers or bools as above to serve as the
// sample values.
//
// Anything that does not fit into the scheme above is silently ignored.
func NewExpvarCollector(exports map[string]*Desc) *ExpvarCollector {
return &ExpvarCollector{
exports: exports,
}
}
// Describe implements Collector.
func (e *ExpvarCollector) Describe(ch chan<- *Desc) {
for _, desc := range e.exports {
ch <- desc
}
}
// Collect implements Collector.
func (e *ExpvarCollector) Collect(ch chan<- Metric) {
for name, desc := range e.exports {
var m Metric
expVar := expvar.Get(name)
if expVar == nil {
continue
}
var v interface{}
labels := make([]string, len(desc.variableLabels))
if err := json.Unmarshal([]byte(expVar.String()), &v); err != nil {
ch <- NewInvalidMetric(desc, err)
continue
}
var processValue func(v interface{}, i int)
processValue = func(v interface{}, i int) {
if i >= len(labels) {
copiedLabels := append(make([]string, 0, len(labels)), labels...)
switch v := v.(type) {
case float64:
m = MustNewConstMetric(desc, UntypedValue, v, copiedLabels...)
case bool:
if v {
m = MustNewConstMetric(desc, UntypedValue, 1, copiedLabels...)
} else {
m = MustNewConstMetric(desc, UntypedValue, 0, copiedLabels...)
}
default:
return
}
ch <- m
return
}
vm, ok := v.(map[string]interface{})
if !ok {
return
}
for lv, val := range vm {
labels[i] = lv
processValue(val, i+1)
}
}
processValue(v, 0)
}
}

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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import "hash/fnv"
// Gauge is a Metric that represents a single numerical value that can
// arbitrarily go up and down.
//
// A Gauge is typically used for measured values like temperatures or current
// memory usage, but also "counts" that can go up and down, like the number of
// running goroutines.
//
// To create Gauge instances, use NewGauge.
type Gauge interface {
Metric
Collector
// Set sets the Gauge to an arbitrary value.
Set(float64)
// Inc increments the Gauge by 1.
Inc()
// Dec decrements the Gauge by 1.
Dec()
// Add adds the given value to the Gauge. (The value can be
// negative, resulting in a decrease of the Gauge.)
Add(float64)
// Sub subtracts the given value from the Gauge. (The value can be
// negative, resulting in an increase of the Gauge.)
Sub(float64)
}
// GaugeOpts is an alias for Opts. See there for doc comments.
type GaugeOpts Opts
// NewGauge creates a new Gauge based on the provided GaugeOpts.
func NewGauge(opts GaugeOpts) Gauge {
return newValue(NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
), GaugeValue, 0)
}
// GaugeVec is a Collector that bundles a set of Gauges that all share the same
// Desc, but have different values for their variable labels. This is used if
// you want to count the same thing partitioned by various dimensions
// (e.g. number of operations queued, partitioned by user and operation
// type). Create instances with NewGaugeVec.
type GaugeVec struct {
MetricVec
}
// NewGaugeVec creates a new GaugeVec based on the provided GaugeOpts and
// partitioned by the given label names. At least one label name must be
// provided.
func NewGaugeVec(opts GaugeOpts, labelNames []string) *GaugeVec {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
labelNames,
opts.ConstLabels,
)
return &GaugeVec{
MetricVec: MetricVec{
children: map[uint64]Metric{},
desc: desc,
hash: fnv.New64a(),
newMetric: func(lvs ...string) Metric {
return newValue(desc, GaugeValue, 0, lvs...)
},
},
}
}
// GetMetricWithLabelValues replaces the method of the same name in
// MetricVec. The difference is that this method returns a Gauge and not a
// Metric so that no type conversion is required.
func (m *GaugeVec) GetMetricWithLabelValues(lvs ...string) (Gauge, error) {
metric, err := m.MetricVec.GetMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Gauge), err
}
return nil, err
}
// GetMetricWith replaces the method of the same name in MetricVec. The
// difference is that this method returns a Gauge and not a Metric so that no
// type conversion is required.
func (m *GaugeVec) GetMetricWith(labels Labels) (Gauge, error) {
metric, err := m.MetricVec.GetMetricWith(labels)
if metric != nil {
return metric.(Gauge), err
}
return nil, err
}
// WithLabelValues works as GetMetricWithLabelValues, but panics where
// GetMetricWithLabelValues would have returned an error. By not returning an
// error, WithLabelValues allows shortcuts like
// myVec.WithLabelValues("404", "GET").Add(42)
func (m *GaugeVec) WithLabelValues(lvs ...string) Gauge {
return m.MetricVec.WithLabelValues(lvs...).(Gauge)
}
// With works as GetMetricWith, but panics where GetMetricWithLabels would have
// returned an error. By not returning an error, With allows shortcuts like
// myVec.With(Labels{"code": "404", "method": "GET"}).Add(42)
func (m *GaugeVec) With(labels Labels) Gauge {
return m.MetricVec.With(labels).(Gauge)
}
// GaugeFunc is a Gauge whose value is determined at collect time by calling a
// provided function.
//
// To create GaugeFunc instances, use NewGaugeFunc.
type GaugeFunc interface {
Metric
Collector
}
// NewGaugeFunc creates a new GaugeFunc based on the provided GaugeOpts. The
// value reported is determined by calling the given function from within the
// Write method. Take into account that metric collection may happen
// concurrently. If that results in concurrent calls to Write, like in the case
// where a GaugeFunc is directly registered with Prometheus, the provided
// function must be concurrency-safe.
func NewGaugeFunc(opts GaugeOpts, function func() float64) GaugeFunc {
return newValueFunc(NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
), GaugeValue, function)
}

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package prometheus
import (
"runtime"
"runtime/debug"
"time"
)
type goCollector struct {
goroutines Gauge
gcDesc *Desc
}
// NewGoCollector returns a collector which exports metrics about the current
// go process.
func NewGoCollector() *goCollector {
return &goCollector{
goroutines: NewGauge(GaugeOpts{
Name: "go_goroutines",
Help: "Number of goroutines that currently exist.",
}),
gcDesc: NewDesc(
"go_gc_duration_seconds",
"A summary of the GC invocation durations.",
nil, nil),
}
}
// Describe returns all descriptions of the collector.
func (c *goCollector) Describe(ch chan<- *Desc) {
ch <- c.goroutines.Desc()
ch <- c.gcDesc
}
// Collect returns the current state of all metrics of the collector.
func (c *goCollector) Collect(ch chan<- Metric) {
c.goroutines.Set(float64(runtime.NumGoroutine()))
ch <- c.goroutines
var stats debug.GCStats
stats.PauseQuantiles = make([]time.Duration, 5)
debug.ReadGCStats(&stats)
quantiles := make(map[float64]float64)
for idx, pq := range stats.PauseQuantiles[1:] {
quantiles[float64(idx+1)/float64(len(stats.PauseQuantiles)-1)] = pq.Seconds()
}
quantiles[0.0] = stats.PauseQuantiles[0].Seconds()
ch <- MustNewConstSummary(c.gcDesc, uint64(stats.NumGC), float64(stats.PauseTotal.Seconds()), quantiles)
}

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// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"fmt"
"hash/fnv"
"math"
"sort"
"sync/atomic"
"github.com/golang/protobuf/proto"
dto "github.com/prometheus/client_model/go"
)
// A Histogram counts individual observations from an event or sample stream in
// configurable buckets. Similar to a summary, it also provides a sum of
// observations and an observation count.
//
// On the Prometheus server, quantiles can be calculated from a Histogram using
// the histogram_quantile function in the query language.
//
// Note that Histograms, in contrast to Summaries, can be aggregated with the
// Prometheus query language (see the documentation for detailed
// procedures). However, Histograms require the user to pre-define suitable
// buckets, and they are in general less accurate. The Observe method of a
// Histogram has a very low performance overhead in comparison with the Observe
// method of a Summary.
//
// To create Histogram instances, use NewHistogram.
type Histogram interface {
Metric
Collector
// Observe adds a single observation to the histogram.
Observe(float64)
}
// bucketLabel is used for the label that defines the upper bound of a
// bucket of a histogram ("le" -> "less or equal").
const bucketLabel = "le"
var (
// DefBuckets are the default Histogram buckets. The default buckets are
// tailored to broadly measure the response time (in seconds) of a
// network service. Most likely, however, you will be required to define
// buckets customized to your use case.
DefBuckets = []float64{.005, .01, .025, .05, .1, .25, .5, 1, 2.5, 5, 10}
errBucketLabelNotAllowed = fmt.Errorf(
"%q is not allowed as label name in histograms", bucketLabel,
)
)
// LinearBuckets creates 'count' buckets, each 'width' wide, where the lowest
// bucket has an upper bound of 'start'. The final +Inf bucket is not counted
// and not included in the returned slice. The returned slice is meant to be
// used for the Buckets field of HistogramOpts.
//
// The function panics if 'count' is zero or negative.
func LinearBuckets(start, width float64, count int) []float64 {
if count < 1 {
panic("LinearBuckets needs a positive count")
}
buckets := make([]float64, count)
for i := range buckets {
buckets[i] = start
start += width
}
return buckets
}
// ExponentialBuckets creates 'count' buckets, where the lowest bucket has an
// upper bound of 'start' and each following bucket's upper bound is 'factor'
// times the previous bucket's upper bound. The final +Inf bucket is not counted
// and not included in the returned slice. The returned slice is meant to be
// used for the Buckets field of HistogramOpts.
//
// The function panics if 'count' is 0 or negative, if 'start' is 0 or negative,
// or if 'factor' is less than or equal 1.
func ExponentialBuckets(start, factor float64, count int) []float64 {
if count < 1 {
panic("ExponentialBuckets needs a positive count")
}
if start <= 0 {
panic("ExponentialBuckets needs a positive start value")
}
if factor <= 1 {
panic("ExponentialBuckets needs a factor greater than 1")
}
buckets := make([]float64, count)
for i := range buckets {
buckets[i] = start
start *= factor
}
return buckets
}
// HistogramOpts bundles the options for creating a Histogram metric. It is
// mandatory to set Name and Help to a non-empty string. All other fields are
// optional and can safely be left at their zero value.
type HistogramOpts struct {
// Namespace, Subsystem, and Name are components of the fully-qualified
// name of the Histogram (created by joining these components with
// "_"). Only Name is mandatory, the others merely help structuring the
// name. Note that the fully-qualified name of the Histogram must be a
// valid Prometheus metric name.
Namespace string
Subsystem string
Name string
// Help provides information about this Histogram. Mandatory!
//
// Metrics with the same fully-qualified name must have the same Help
// string.
Help string
// ConstLabels are used to attach fixed labels to this
// Histogram. Histograms with the same fully-qualified name must have the
// same label names in their ConstLabels.
//
// Note that in most cases, labels have a value that varies during the
// lifetime of a process. Those labels are usually managed with a
// HistogramVec. ConstLabels serve only special purposes. One is for the
// special case where the value of a label does not change during the
// lifetime of a process, e.g. if the revision of the running binary is
// put into a label. Another, more advanced purpose is if more than one
// Collector needs to collect Histograms with the same fully-qualified
// name. In that case, those Summaries must differ in the values of
// their ConstLabels. See the Collector examples.
//
// If the value of a label never changes (not even between binaries),
// that label most likely should not be a label at all (but part of the
// metric name).
ConstLabels Labels
// Buckets defines the buckets into which observations are counted. Each
// element in the slice is the upper inclusive bound of a bucket. The
// values must be sorted in strictly increasing order. There is no need
// to add a highest bucket with +Inf bound, it will be added
// implicitly. The default value is DefBuckets.
Buckets []float64
}
// NewHistogram creates a new Histogram based on the provided HistogramOpts. It
// panics if the buckets in HistogramOpts are not in strictly increasing order.
func NewHistogram(opts HistogramOpts) Histogram {
return newHistogram(
NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
),
opts,
)
}
func newHistogram(desc *Desc, opts HistogramOpts, labelValues ...string) Histogram {
if len(desc.variableLabels) != len(labelValues) {
panic(errInconsistentCardinality)
}
for _, n := range desc.variableLabels {
if n == bucketLabel {
panic(errBucketLabelNotAllowed)
}
}
for _, lp := range desc.constLabelPairs {
if lp.GetName() == bucketLabel {
panic(errBucketLabelNotAllowed)
}
}
if len(opts.Buckets) == 0 {
opts.Buckets = DefBuckets
}
h := &histogram{
desc: desc,
upperBounds: opts.Buckets,
labelPairs: makeLabelPairs(desc, labelValues),
}
for i, upperBound := range h.upperBounds {
if i < len(h.upperBounds)-1 {
if upperBound >= h.upperBounds[i+1] {
panic(fmt.Errorf(
"histogram buckets must be in increasing order: %f >= %f",
upperBound, h.upperBounds[i+1],
))
}
} else {
if math.IsInf(upperBound, +1) {
// The +Inf bucket is implicit. Remove it here.
h.upperBounds = h.upperBounds[:i]
}
}
}
// Finally we know the final length of h.upperBounds and can make counts.
h.counts = make([]uint64, len(h.upperBounds))
h.Init(h) // Init self-collection.
return h
}
type histogram struct {
// sumBits contains the bits of the float64 representing the sum of all
// observations. sumBits and count have to go first in the struct to
// guarantee alignment for atomic operations.
// http://golang.org/pkg/sync/atomic/#pkg-note-BUG
sumBits uint64
count uint64
SelfCollector
// Note that there is no mutex required.
desc *Desc
upperBounds []float64
counts []uint64
labelPairs []*dto.LabelPair
}
func (h *histogram) Desc() *Desc {
return h.desc
}
func (h *histogram) Observe(v float64) {
// TODO(beorn7): For small numbers of buckets (<30), a linear search is
// slightly faster than the binary search. If we really care, we could
// switch from one search strategy to the other depending on the number
// of buckets.
//
// Microbenchmarks (BenchmarkHistogramNoLabels):
// 11 buckets: 38.3 ns/op linear - binary 48.7 ns/op
// 100 buckets: 78.1 ns/op linear - binary 54.9 ns/op
// 300 buckets: 154 ns/op linear - binary 61.6 ns/op
i := sort.SearchFloat64s(h.upperBounds, v)
if i < len(h.counts) {
atomic.AddUint64(&h.counts[i], 1)
}
atomic.AddUint64(&h.count, 1)
for {
oldBits := atomic.LoadUint64(&h.sumBits)
newBits := math.Float64bits(math.Float64frombits(oldBits) + v)
if atomic.CompareAndSwapUint64(&h.sumBits, oldBits, newBits) {
break
}
}
}
func (h *histogram) Write(out *dto.Metric) error {
his := &dto.Histogram{}
buckets := make([]*dto.Bucket, len(h.upperBounds))
his.SampleSum = proto.Float64(math.Float64frombits(atomic.LoadUint64(&h.sumBits)))
his.SampleCount = proto.Uint64(atomic.LoadUint64(&h.count))
var count uint64
for i, upperBound := range h.upperBounds {
count += atomic.LoadUint64(&h.counts[i])
buckets[i] = &dto.Bucket{
CumulativeCount: proto.Uint64(count),
UpperBound: proto.Float64(upperBound),
}
}
his.Bucket = buckets
out.Histogram = his
out.Label = h.labelPairs
return nil
}
// HistogramVec is a Collector that bundles a set of Histograms that all share the
// same Desc, but have different values for their variable labels. This is used
// if you want to count the same thing partitioned by various dimensions
// (e.g. HTTP request latencies, partitioned by status code and method). Create
// instances with NewHistogramVec.
type HistogramVec struct {
MetricVec
}
// NewHistogramVec creates a new HistogramVec based on the provided HistogramOpts and
// partitioned by the given label names. At least one label name must be
// provided.
func NewHistogramVec(opts HistogramOpts, labelNames []string) *HistogramVec {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
labelNames,
opts.ConstLabels,
)
return &HistogramVec{
MetricVec: MetricVec{
children: map[uint64]Metric{},
desc: desc,
hash: fnv.New64a(),
newMetric: func(lvs ...string) Metric {
return newHistogram(desc, opts, lvs...)
},
},
}
}
// GetMetricWithLabelValues replaces the method of the same name in
// MetricVec. The difference is that this method returns a Histogram and not a
// Metric so that no type conversion is required.
func (m *HistogramVec) GetMetricWithLabelValues(lvs ...string) (Histogram, error) {
metric, err := m.MetricVec.GetMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Histogram), err
}
return nil, err
}
// GetMetricWith replaces the method of the same name in MetricVec. The
// difference is that this method returns a Histogram and not a Metric so that no
// type conversion is required.
func (m *HistogramVec) GetMetricWith(labels Labels) (Histogram, error) {
metric, err := m.MetricVec.GetMetricWith(labels)
if metric != nil {
return metric.(Histogram), err
}
return nil, err
}
// WithLabelValues works as GetMetricWithLabelValues, but panics where
// GetMetricWithLabelValues would have returned an error. By not returning an
// error, WithLabelValues allows shortcuts like
// myVec.WithLabelValues("404", "GET").Observe(42.21)
func (m *HistogramVec) WithLabelValues(lvs ...string) Histogram {
return m.MetricVec.WithLabelValues(lvs...).(Histogram)
}
// With works as GetMetricWith, but panics where GetMetricWithLabels would have
// returned an error. By not returning an error, With allows shortcuts like
// myVec.With(Labels{"code": "404", "method": "GET"}).Observe(42.21)
func (m *HistogramVec) With(labels Labels) Histogram {
return m.MetricVec.With(labels).(Histogram)
}
type constHistogram struct {
desc *Desc
count uint64
sum float64
buckets map[float64]uint64
labelPairs []*dto.LabelPair
}
func (h *constHistogram) Desc() *Desc {
return h.desc
}
func (h *constHistogram) Write(out *dto.Metric) error {
his := &dto.Histogram{}
buckets := make([]*dto.Bucket, 0, len(h.buckets))
his.SampleCount = proto.Uint64(h.count)
his.SampleSum = proto.Float64(h.sum)
for upperBound, count := range h.buckets {
buckets = append(buckets, &dto.Bucket{
CumulativeCount: proto.Uint64(count),
UpperBound: proto.Float64(upperBound),
})
}
if len(buckets) > 0 {
sort.Sort(buckSort(buckets))
}
his.Bucket = buckets
out.Histogram = his
out.Label = h.labelPairs
return nil
}
// NewConstHistogram returns a metric representing a Prometheus histogram with
// fixed values for the count, sum, and bucket counts. As those parameters
// cannot be changed, the returned value does not implement the Histogram
// interface (but only the Metric interface). Users of this package will not
// have much use for it in regular operations. However, when implementing custom
// Collectors, it is useful as a throw-away metric that is generated on the fly
// to send it to Prometheus in the Collect method.
//
// buckets is a map of upper bounds to cumulative counts, excluding the +Inf
// bucket.
//
// NewConstHistogram returns an error if the length of labelValues is not
// consistent with the variable labels in Desc.
func NewConstHistogram(
desc *Desc,
count uint64,
sum float64,
buckets map[float64]uint64,
labelValues ...string,
) (Metric, error) {
if len(desc.variableLabels) != len(labelValues) {
return nil, errInconsistentCardinality
}
return &constHistogram{
desc: desc,
count: count,
sum: sum,
buckets: buckets,
labelPairs: makeLabelPairs(desc, labelValues),
}, nil
}
// MustNewConstHistogram is a version of NewConstHistogram that panics where
// NewConstMetric would have returned an error.
func MustNewConstHistogram(
desc *Desc,
count uint64,
sum float64,
buckets map[float64]uint64,
labelValues ...string,
) Metric {
m, err := NewConstHistogram(desc, count, sum, buckets, labelValues...)
if err != nil {
panic(err)
}
return m
}
type buckSort []*dto.Bucket
func (s buckSort) Len() int {
return len(s)
}
func (s buckSort) Swap(i, j int) {
s[i], s[j] = s[j], s[i]
}
func (s buckSort) Less(i, j int) bool {
return s[i].GetUpperBound() < s[j].GetUpperBound()
}

361
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"bufio"
"io"
"net"
"net/http"
"strconv"
"strings"
"time"
)
var instLabels = []string{"method", "code"}
type nower interface {
Now() time.Time
}
type nowFunc func() time.Time
func (n nowFunc) Now() time.Time {
return n()
}
var now nower = nowFunc(func() time.Time {
return time.Now()
})
func nowSeries(t ...time.Time) nower {
return nowFunc(func() time.Time {
defer func() {
t = t[1:]
}()
return t[0]
})
}
// InstrumentHandler wraps the given HTTP handler for instrumentation. It
// registers four metric collectors (if not already done) and reports HTTP
// metrics to the (newly or already) registered collectors: http_requests_total
// (CounterVec), http_request_duration_microseconds (Summary),
// http_request_size_bytes (Summary), http_response_size_bytes (Summary). Each
// has a constant label named "handler" with the provided handlerName as
// value. http_requests_total is a metric vector partitioned by HTTP method
// (label name "method") and HTTP status code (label name "code").
func InstrumentHandler(handlerName string, handler http.Handler) http.HandlerFunc {
return InstrumentHandlerFunc(handlerName, handler.ServeHTTP)
}
// InstrumentHandlerFunc wraps the given function for instrumentation. It
// otherwise works in the same way as InstrumentHandler.
func InstrumentHandlerFunc(handlerName string, handlerFunc func(http.ResponseWriter, *http.Request)) http.HandlerFunc {
return InstrumentHandlerFuncWithOpts(
SummaryOpts{
Subsystem: "http",
ConstLabels: Labels{"handler": handlerName},
},
handlerFunc,
)
}
// InstrumentHandlerWithOpts works like InstrumentHandler but provides more
// flexibility (at the cost of a more complex call syntax). As
// InstrumentHandler, this function registers four metric collectors, but it
// uses the provided SummaryOpts to create them. However, the fields "Name" and
// "Help" in the SummaryOpts are ignored. "Name" is replaced by
// "requests_total", "request_duration_microseconds", "request_size_bytes", and
// "response_size_bytes", respectively. "Help" is replaced by an appropriate
// help string. The names of the variable labels of the http_requests_total
// CounterVec are "method" (get, post, etc.), and "code" (HTTP status code).
//
// If InstrumentHandlerWithOpts is called as follows, it mimics exactly the
// behavior of InstrumentHandler:
//
// prometheus.InstrumentHandlerWithOpts(
// prometheus.SummaryOpts{
// Subsystem: "http",
// ConstLabels: prometheus.Labels{"handler": handlerName},
// },
// handler,
// )
//
// Technical detail: "requests_total" is a CounterVec, not a SummaryVec, so it
// cannot use SummaryOpts. Instead, a CounterOpts struct is created internally,
// and all its fields are set to the equally named fields in the provided
// SummaryOpts.
func InstrumentHandlerWithOpts(opts SummaryOpts, handler http.Handler) http.HandlerFunc {
return InstrumentHandlerFuncWithOpts(opts, handler.ServeHTTP)
}
// InstrumentHandlerFuncWithOpts works like InstrumentHandlerFunc but provides
// more flexibility (at the cost of a more complex call syntax). See
// InstrumentHandlerWithOpts for details how the provided SummaryOpts are used.
func InstrumentHandlerFuncWithOpts(opts SummaryOpts, handlerFunc func(http.ResponseWriter, *http.Request)) http.HandlerFunc {
reqCnt := NewCounterVec(
CounterOpts{
Namespace: opts.Namespace,
Subsystem: opts.Subsystem,
Name: "requests_total",
Help: "Total number of HTTP requests made.",
ConstLabels: opts.ConstLabels,
},
instLabels,
)
opts.Name = "request_duration_microseconds"
opts.Help = "The HTTP request latencies in microseconds."
reqDur := NewSummary(opts)
opts.Name = "request_size_bytes"
opts.Help = "The HTTP request sizes in bytes."
reqSz := NewSummary(opts)
opts.Name = "response_size_bytes"
opts.Help = "The HTTP response sizes in bytes."
resSz := NewSummary(opts)
regReqCnt := MustRegisterOrGet(reqCnt).(*CounterVec)
regReqDur := MustRegisterOrGet(reqDur).(Summary)
regReqSz := MustRegisterOrGet(reqSz).(Summary)
regResSz := MustRegisterOrGet(resSz).(Summary)
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
now := time.Now()
delegate := &responseWriterDelegator{ResponseWriter: w}
out := make(chan int)
urlLen := 0
if r.URL != nil {
urlLen = len(r.URL.String())
}
go computeApproximateRequestSize(r, out, urlLen)
_, cn := w.(http.CloseNotifier)
_, fl := w.(http.Flusher)
_, hj := w.(http.Hijacker)
_, rf := w.(io.ReaderFrom)
var rw http.ResponseWriter
if cn && fl && hj && rf {
rw = &fancyResponseWriterDelegator{delegate}
} else {
rw = delegate
}
handlerFunc(rw, r)
elapsed := float64(time.Since(now)) / float64(time.Microsecond)
method := sanitizeMethod(r.Method)
code := sanitizeCode(delegate.status)
regReqCnt.WithLabelValues(method, code).Inc()
regReqDur.Observe(elapsed)
regResSz.Observe(float64(delegate.written))
regReqSz.Observe(float64(<-out))
})
}
func computeApproximateRequestSize(r *http.Request, out chan int, s int) {
s += len(r.Method)
s += len(r.Proto)
for name, values := range r.Header {
s += len(name)
for _, value := range values {
s += len(value)
}
}
s += len(r.Host)
// N.B. r.Form and r.MultipartForm are assumed to be included in r.URL.
if r.ContentLength != -1 {
s += int(r.ContentLength)
}
out <- s
}
type responseWriterDelegator struct {
http.ResponseWriter
handler, method string
status int
written int64
wroteHeader bool
}
func (r *responseWriterDelegator) WriteHeader(code int) {
r.status = code
r.wroteHeader = true
r.ResponseWriter.WriteHeader(code)
}
func (r *responseWriterDelegator) Write(b []byte) (int, error) {
if !r.wroteHeader {
r.WriteHeader(http.StatusOK)
}
n, err := r.ResponseWriter.Write(b)
r.written += int64(n)
return n, err
}
type fancyResponseWriterDelegator struct {
*responseWriterDelegator
}
func (f *fancyResponseWriterDelegator) CloseNotify() <-chan bool {
return f.ResponseWriter.(http.CloseNotifier).CloseNotify()
}
func (f *fancyResponseWriterDelegator) Flush() {
f.ResponseWriter.(http.Flusher).Flush()
}
func (f *fancyResponseWriterDelegator) Hijack() (net.Conn, *bufio.ReadWriter, error) {
return f.ResponseWriter.(http.Hijacker).Hijack()
}
func (f *fancyResponseWriterDelegator) ReadFrom(r io.Reader) (int64, error) {
if !f.wroteHeader {
f.WriteHeader(http.StatusOK)
}
n, err := f.ResponseWriter.(io.ReaderFrom).ReadFrom(r)
f.written += n
return n, err
}
func sanitizeMethod(m string) string {
switch m {
case "GET", "get":
return "get"
case "PUT", "put":
return "put"
case "HEAD", "head":
return "head"
case "POST", "post":
return "post"
case "DELETE", "delete":
return "delete"
case "CONNECT", "connect":
return "connect"
case "OPTIONS", "options":
return "options"
case "NOTIFY", "notify":
return "notify"
default:
return strings.ToLower(m)
}
}
func sanitizeCode(s int) string {
switch s {
case 100:
return "100"
case 101:
return "101"
case 200:
return "200"
case 201:
return "201"
case 202:
return "202"
case 203:
return "203"
case 204:
return "204"
case 205:
return "205"
case 206:
return "206"
case 300:
return "300"
case 301:
return "301"
case 302:
return "302"
case 304:
return "304"
case 305:
return "305"
case 307:
return "307"
case 400:
return "400"
case 401:
return "401"
case 402:
return "402"
case 403:
return "403"
case 404:
return "404"
case 405:
return "405"
case 406:
return "406"
case 407:
return "407"
case 408:
return "408"
case 409:
return "409"
case 410:
return "410"
case 411:
return "411"
case 412:
return "412"
case 413:
return "413"
case 414:
return "414"
case 415:
return "415"
case 416:
return "416"
case 417:
return "417"
case 418:
return "418"
case 500:
return "500"
case 501:
return "501"
case 502:
return "502"
case 503:
return "503"
case 504:
return "504"
case 505:
return "505"
case 428:
return "428"
case 429:
return "429"
case 431:
return "431"
case 511:
return "511"
default:
return strconv.Itoa(s)
}
}

166
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"strings"
dto "github.com/prometheus/client_model/go"
)
const separatorByte byte = 255
// A Metric models a single sample value with its meta data being exported to
// Prometheus. Implementers of Metric in this package inclued Gauge, Counter,
// Untyped, and Summary. Users can implement their own Metric types, but that
// should be rarely needed. See the example for SelfCollector, which is also an
// example for a user-implemented Metric.
type Metric interface {
// Desc returns the descriptor for the Metric. This method idempotently
// returns the same descriptor throughout the lifetime of the
// Metric. The returned descriptor is immutable by contract. A Metric
// unable to describe itself must return an invalid descriptor (created
// with NewInvalidDesc).
Desc() *Desc
// Write encodes the Metric into a "Metric" Protocol Buffer data
// transmission object.
//
// Implementers of custom Metric types must observe concurrency safety
// as reads of this metric may occur at any time, and any blocking
// occurs at the expense of total performance of rendering all
// registered metrics. Ideally Metric implementations should support
// concurrent readers.
//
// The Prometheus client library attempts to minimize memory allocations
// and will provide a pre-existing reset dto.Metric pointer. Prometheus
// may recycle the dto.Metric proto message, so Metric implementations
// should just populate the provided dto.Metric and then should not keep
// any reference to it.
//
// While populating dto.Metric, labels must be sorted lexicographically.
// (Implementers may find LabelPairSorter useful for that.)
Write(*dto.Metric) error
}
// Opts bundles the options for creating most Metric types. Each metric
// implementation XXX has its own XXXOpts type, but in most cases, it is just be
// an alias of this type (which might change when the requirement arises.)
//
// It is mandatory to set Name and Help to a non-empty string. All other fields
// are optional and can safely be left at their zero value.
type Opts struct {
// Namespace, Subsystem, and Name are components of the fully-qualified
// name of the Metric (created by joining these components with
// "_"). Only Name is mandatory, the others merely help structuring the
// name. Note that the fully-qualified name of the metric must be a
// valid Prometheus metric name.
Namespace string
Subsystem string
Name string
// Help provides information about this metric. Mandatory!
//
// Metrics with the same fully-qualified name must have the same Help
// string.
Help string
// ConstLabels are used to attach fixed labels to this metric. Metrics
// with the same fully-qualified name must have the same label names in
// their ConstLabels.
//
// Note that in most cases, labels have a value that varies during the
// lifetime of a process. Those labels are usually managed with a metric
// vector collector (like CounterVec, GaugeVec, UntypedVec). ConstLabels
// serve only special purposes. One is for the special case where the
// value of a label does not change during the lifetime of a process,
// e.g. if the revision of the running binary is put into a
// label. Another, more advanced purpose is if more than one Collector
// needs to collect Metrics with the same fully-qualified name. In that
// case, those Metrics must differ in the values of their
// ConstLabels. See the Collector examples.
//
// If the value of a label never changes (not even between binaries),
// that label most likely should not be a label at all (but part of the
// metric name).
ConstLabels Labels
}
// BuildFQName joins the given three name components by "_". Empty name
// components are ignored. If the name parameter itself is empty, an empty
// string is returned, no matter what. Metric implementations included in this
// library use this function internally to generate the fully-qualified metric
// name from the name component in their Opts. Users of the library will only
// need this function if they implement their own Metric or instantiate a Desc
// (with NewDesc) directly.
func BuildFQName(namespace, subsystem, name string) string {
if name == "" {
return ""
}
switch {
case namespace != "" && subsystem != "":
return strings.Join([]string{namespace, subsystem, name}, "_")
case namespace != "":
return strings.Join([]string{namespace, name}, "_")
case subsystem != "":
return strings.Join([]string{subsystem, name}, "_")
}
return name
}
// LabelPairSorter implements sort.Interface. It is used to sort a slice of
// dto.LabelPair pointers. This is useful for implementing the Write method of
// custom metrics.
type LabelPairSorter []*dto.LabelPair
func (s LabelPairSorter) Len() int {
return len(s)
}
func (s LabelPairSorter) Swap(i, j int) {
s[i], s[j] = s[j], s[i]
}
func (s LabelPairSorter) Less(i, j int) bool {
return s[i].GetName() < s[j].GetName()
}
type hashSorter []uint64
func (s hashSorter) Len() int {
return len(s)
}
func (s hashSorter) Swap(i, j int) {
s[i], s[j] = s[j], s[i]
}
func (s hashSorter) Less(i, j int) bool {
return s[i] < s[j]
}
type invalidMetric struct {
desc *Desc
err error
}
// NewInvalidMetric returns a metric whose Write method always returns the
// provided error. It is useful if a Collector finds itself unable to collect
// a metric and wishes to report an error to the registry.
func NewInvalidMetric(desc *Desc, err error) Metric {
return &invalidMetric{desc, err}
}
func (m *invalidMetric) Desc() *Desc { return m.desc }
func (m *invalidMetric) Write(*dto.Metric) error { return m.err }

142
vendor/github.com/prometheus/client_golang/prometheus/process_collector.go generated vendored Normal file
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// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import "github.com/prometheus/procfs"
type processCollector struct {
pid int
collectFn func(chan<- Metric)
pidFn func() (int, error)
cpuTotal Counter
openFDs, maxFDs Gauge
vsize, rss Gauge
startTime Gauge
}
// NewProcessCollector returns a collector which exports the current state of
// process metrics including cpu, memory and file descriptor usage as well as
// the process start time for the given process id under the given namespace.
func NewProcessCollector(pid int, namespace string) *processCollector {
return NewProcessCollectorPIDFn(
func() (int, error) { return pid, nil },
namespace,
)
}
// NewProcessCollectorPIDFn returns a collector which exports the current state
// of process metrics including cpu, memory and file descriptor usage as well
// as the process start time under the given namespace. The given pidFn is
// called on each collect and is used to determine the process to export
// metrics for.
func NewProcessCollectorPIDFn(
pidFn func() (int, error),
namespace string,
) *processCollector {
c := processCollector{
pidFn: pidFn,
collectFn: func(chan<- Metric) {},
cpuTotal: NewCounter(CounterOpts{
Namespace: namespace,
Name: "process_cpu_seconds_total",
Help: "Total user and system CPU time spent in seconds.",
}),
openFDs: NewGauge(GaugeOpts{
Namespace: namespace,
Name: "process_open_fds",
Help: "Number of open file descriptors.",
}),
maxFDs: NewGauge(GaugeOpts{
Namespace: namespace,
Name: "process_max_fds",
Help: "Maximum number of open file descriptors.",
}),
vsize: NewGauge(GaugeOpts{
Namespace: namespace,
Name: "process_virtual_memory_bytes",
Help: "Virtual memory size in bytes.",
}),
rss: NewGauge(GaugeOpts{
Namespace: namespace,
Name: "process_resident_memory_bytes",
Help: "Resident memory size in bytes.",
}),
startTime: NewGauge(GaugeOpts{
Namespace: namespace,
Name: "process_start_time_seconds",
Help: "Start time of the process since unix epoch in seconds.",
}),
}
// Set up process metric collection if supported by the runtime.
if _, err := procfs.NewStat(); err == nil {
c.collectFn = c.processCollect
}
return &c
}
// Describe returns all descriptions of the collector.
func (c *processCollector) Describe(ch chan<- *Desc) {
ch <- c.cpuTotal.Desc()
ch <- c.openFDs.Desc()
ch <- c.maxFDs.Desc()
ch <- c.vsize.Desc()
ch <- c.rss.Desc()
ch <- c.startTime.Desc()
}
// Collect returns the current state of all metrics of the collector.
func (c *processCollector) Collect(ch chan<- Metric) {
c.collectFn(ch)
}
// TODO(ts): Bring back error reporting by reverting 7faf9e7 as soon as the
// client allows users to configure the error behavior.
func (c *processCollector) processCollect(ch chan<- Metric) {
pid, err := c.pidFn()
if err != nil {
return
}
p, err := procfs.NewProc(pid)
if err != nil {
return
}
if stat, err := p.NewStat(); err == nil {
c.cpuTotal.Set(stat.CPUTime())
ch <- c.cpuTotal
c.vsize.Set(float64(stat.VirtualMemory()))
ch <- c.vsize
c.rss.Set(float64(stat.ResidentMemory()))
ch <- c.rss
if startTime, err := stat.StartTime(); err == nil {
c.startTime.Set(startTime)
ch <- c.startTime
}
}
if fds, err := p.FileDescriptorsLen(); err == nil {
c.openFDs.Set(float64(fds))
ch <- c.openFDs
}
if limits, err := p.NewLimits(); err == nil {
c.maxFDs.Set(float64(limits.OpenFiles))
ch <- c.maxFDs
}
}

65
vendor/github.com/prometheus/client_golang/prometheus/push.go generated vendored Normal file
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// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Copyright (c) 2013, The Prometheus Authors
// All rights reserved.
//
// Use of this source code is governed by a BSD-style license that can be found
// in the LICENSE file.
package prometheus
// Push triggers a metric collection by the default registry and pushes all
// collected metrics to the Pushgateway specified by addr. See the Pushgateway
// documentation for detailed implications of the job and instance
// parameter. instance can be left empty. You can use just host:port or ip:port
// as url, in which case 'http://' is added automatically. You can also include
// the schema in the URL. However, do not include the '/metrics/jobs/...' part.
//
// Note that all previously pushed metrics with the same job and instance will
// be replaced with the metrics pushed by this call. (It uses HTTP method 'PUT'
// to push to the Pushgateway.)
func Push(job, instance, url string) error {
return defRegistry.Push(job, instance, url, "PUT")
}
// PushAdd works like Push, but only previously pushed metrics with the same
// name (and the same job and instance) will be replaced. (It uses HTTP method
// 'POST' to push to the Pushgateway.)
func PushAdd(job, instance, url string) error {
return defRegistry.Push(job, instance, url, "POST")
}
// PushCollectors works like Push, but it does not collect from the default
// registry. Instead, it collects from the provided collectors. It is a
// convenient way to push only a few metrics.
func PushCollectors(job, instance, url string, collectors ...Collector) error {
return pushCollectors(job, instance, url, "PUT", collectors...)
}
// PushAddCollectors works like PushAdd, but it does not collect from the
// default registry. Instead, it collects from the provided collectors. It is a
// convenient way to push only a few metrics.
func PushAddCollectors(job, instance, url string, collectors ...Collector) error {
return pushCollectors(job, instance, url, "POST", collectors...)
}
func pushCollectors(job, instance, url, method string, collectors ...Collector) error {
r := newRegistry()
for _, collector := range collectors {
if _, err := r.Register(collector); err != nil {
return err
}
}
return r.Push(job, instance, url, method)
}

726
vendor/github.com/prometheus/client_golang/prometheus/registry.go generated vendored Normal file
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Copyright (c) 2013, The Prometheus Authors
// All rights reserved.
//
// Use of this source code is governed by a BSD-style license that can be found
// in the LICENSE file.
package prometheus
import (
"bytes"
"compress/gzip"
"errors"
"fmt"
"hash/fnv"
"io"
"net/http"
"net/url"
"os"
"sort"
"strings"
"sync"
"github.com/golang/protobuf/proto"
"github.com/prometheus/common/expfmt"
dto "github.com/prometheus/client_model/go"
)
var (
defRegistry = newDefaultRegistry()
errAlreadyReg = errors.New("duplicate metrics collector registration attempted")
)
// Constants relevant to the HTTP interface.
const (
// APIVersion is the version of the format of the exported data. This
// will match this library's version, which subscribes to the Semantic
// Versioning scheme.
APIVersion = "0.0.4"
// DelimitedTelemetryContentType is the content type set on telemetry
// data responses in delimited protobuf format.
DelimitedTelemetryContentType = `application/vnd.google.protobuf; proto=io.prometheus.client.MetricFamily; encoding=delimited`
// TextTelemetryContentType is the content type set on telemetry data
// responses in text format.
TextTelemetryContentType = `text/plain; version=` + APIVersion
// ProtoTextTelemetryContentType is the content type set on telemetry
// data responses in protobuf text format. (Only used for debugging.)
ProtoTextTelemetryContentType = `application/vnd.google.protobuf; proto=io.prometheus.client.MetricFamily; encoding=text`
// ProtoCompactTextTelemetryContentType is the content type set on
// telemetry data responses in protobuf compact text format. (Only used
// for debugging.)
ProtoCompactTextTelemetryContentType = `application/vnd.google.protobuf; proto=io.prometheus.client.MetricFamily; encoding=compact-text`
// Constants for object pools.
numBufs = 4
numMetricFamilies = 1000
numMetrics = 10000
// Capacity for the channel to collect metrics and descriptors.
capMetricChan = 1000
capDescChan = 10
contentTypeHeader = "Content-Type"
contentLengthHeader = "Content-Length"
contentEncodingHeader = "Content-Encoding"
acceptEncodingHeader = "Accept-Encoding"
acceptHeader = "Accept"
)
// Handler returns the HTTP handler for the global Prometheus registry. It is
// already instrumented with InstrumentHandler (using "prometheus" as handler
// name). Usually the handler is used to handle the "/metrics" endpoint.
func Handler() http.Handler {
return InstrumentHandler("prometheus", defRegistry)
}
// UninstrumentedHandler works in the same way as Handler, but the returned HTTP
// handler is not instrumented. This is useful if no instrumentation is desired
// (for whatever reason) or if the instrumentation has to happen with a
// different handler name (or with a different instrumentation approach
// altogether). See the InstrumentHandler example.
func UninstrumentedHandler() http.Handler {
return defRegistry
}
// Register registers a new Collector to be included in metrics collection. It
// returns an error if the descriptors provided by the Collector are invalid or
// if they - in combination with descriptors of already registered Collectors -
// do not fulfill the consistency and uniqueness criteria described in the Desc
// documentation.
//
// Do not register the same Collector multiple times concurrently. (Registering
// the same Collector twice would result in an error anyway, but on top of that,
// it is not safe to do so concurrently.)
func Register(m Collector) error {
_, err := defRegistry.Register(m)
return err
}
// MustRegister works like Register but panics where Register would have
// returned an error.
func MustRegister(m Collector) {
err := Register(m)
if err != nil {
panic(err)
}
}
// RegisterOrGet works like Register but does not return an error if a Collector
// is registered that equals a previously registered Collector. (Two Collectors
// are considered equal if their Describe method yields the same set of
// descriptors.) Instead, the previously registered Collector is returned (which
// is helpful if the new and previously registered Collectors are equal but not
// identical, i.e. not pointers to the same object).
//
// As for Register, it is still not safe to call RegisterOrGet with the same
// Collector multiple times concurrently.
func RegisterOrGet(m Collector) (Collector, error) {
return defRegistry.RegisterOrGet(m)
}
// MustRegisterOrGet works like Register but panics where RegisterOrGet would
// have returned an error.
func MustRegisterOrGet(m Collector) Collector {
existing, err := RegisterOrGet(m)
if err != nil {
panic(err)
}
return existing
}
// Unregister unregisters the Collector that equals the Collector passed in as
// an argument. (Two Collectors are considered equal if their Describe method
// yields the same set of descriptors.) The function returns whether a Collector
// was unregistered.
func Unregister(c Collector) bool {
return defRegistry.Unregister(c)
}
// SetMetricFamilyInjectionHook sets a function that is called whenever metrics
// are collected. The hook function must be set before metrics collection begins
// (i.e. call SetMetricFamilyInjectionHook before setting the HTTP handler.) The
// MetricFamily protobufs returned by the hook function are merged with the
// metrics collected in the usual way.
//
// This is a way to directly inject MetricFamily protobufs managed and owned by
// the caller. The caller has full responsibility. As no registration of the
// injected metrics has happened, there is no descriptor to check against, and
// there are no registration-time checks. If collect-time checks are disabled
// (see function EnableCollectChecks), no sanity checks are performed on the
// returned protobufs at all. If collect-checks are enabled, type and uniqueness
// checks are performed, but no further consistency checks (which would require
// knowledge of a metric descriptor).
//
// Sorting concerns: The caller is responsible for sorting the label pairs in
// each metric. However, the order of metrics will be sorted by the registry as
// it is required anyway after merging with the metric families collected
// conventionally.
//
// The function must be callable at any time and concurrently.
func SetMetricFamilyInjectionHook(hook func() []*dto.MetricFamily) {
defRegistry.metricFamilyInjectionHook = hook
}
// PanicOnCollectError sets the behavior whether a panic is caused upon an error
// while metrics are collected and served to the HTTP endpoint. By default, an
// internal server error (status code 500) is served with an error message.
func PanicOnCollectError(b bool) {
defRegistry.panicOnCollectError = b
}
// EnableCollectChecks enables (or disables) additional consistency checks
// during metrics collection. These additional checks are not enabled by default
// because they inflict a performance penalty and the errors they check for can
// only happen if the used Metric and Collector types have internal programming
// errors. It can be helpful to enable these checks while working with custom
// Collectors or Metrics whose correctness is not well established yet.
func EnableCollectChecks(b bool) {
defRegistry.collectChecksEnabled = b
}
// encoder is a function that writes a dto.MetricFamily to an io.Writer in a
// certain encoding. It returns the number of bytes written and any error
// encountered. Note that pbutil.WriteDelimited and pbutil.MetricFamilyToText
// are encoders.
type encoder func(io.Writer, *dto.MetricFamily) (int, error)
type registry struct {
mtx sync.RWMutex
collectorsByID map[uint64]Collector // ID is a hash of the descIDs.
descIDs map[uint64]struct{}
dimHashesByName map[string]uint64
bufPool chan *bytes.Buffer
metricFamilyPool chan *dto.MetricFamily
metricPool chan *dto.Metric
metricFamilyInjectionHook func() []*dto.MetricFamily
panicOnCollectError, collectChecksEnabled bool
}
func (r *registry) Register(c Collector) (Collector, error) {
descChan := make(chan *Desc, capDescChan)
go func() {
c.Describe(descChan)
close(descChan)
}()
newDescIDs := map[uint64]struct{}{}
newDimHashesByName := map[string]uint64{}
var collectorID uint64 // Just a sum of all desc IDs.
var duplicateDescErr error
r.mtx.Lock()
defer r.mtx.Unlock()
// Coduct various tests...
for desc := range descChan {
// Is the descriptor valid at all?
if desc.err != nil {
return c, fmt.Errorf("descriptor %s is invalid: %s", desc, desc.err)
}
// Is the descID unique?
// (In other words: Is the fqName + constLabel combination unique?)
if _, exists := r.descIDs[desc.id]; exists {
duplicateDescErr = fmt.Errorf("descriptor %s already exists with the same fully-qualified name and const label values", desc)
}
// If it is not a duplicate desc in this collector, add it to
// the collectorID. (We allow duplicate descs within the same
// collector, but their existence must be a no-op.)
if _, exists := newDescIDs[desc.id]; !exists {
newDescIDs[desc.id] = struct{}{}
collectorID += desc.id
}
// Are all the label names and the help string consistent with
// previous descriptors of the same name?
// First check existing descriptors...
if dimHash, exists := r.dimHashesByName[desc.fqName]; exists {
if dimHash != desc.dimHash {
return nil, fmt.Errorf("a previously registered descriptor with the same fully-qualified name as %s has different label names or a different help string", desc)
}
} else {
// ...then check the new descriptors already seen.
if dimHash, exists := newDimHashesByName[desc.fqName]; exists {
if dimHash != desc.dimHash {
return nil, fmt.Errorf("descriptors reported by collector have inconsistent label names or help strings for the same fully-qualified name, offender is %s", desc)
}
} else {
newDimHashesByName[desc.fqName] = desc.dimHash
}
}
}
// Did anything happen at all?
if len(newDescIDs) == 0 {
return nil, errors.New("collector has no descriptors")
}
if existing, exists := r.collectorsByID[collectorID]; exists {
return existing, errAlreadyReg
}
// If the collectorID is new, but at least one of the descs existed
// before, we are in trouble.
if duplicateDescErr != nil {
return nil, duplicateDescErr
}
// Only after all tests have passed, actually register.
r.collectorsByID[collectorID] = c
for hash := range newDescIDs {
r.descIDs[hash] = struct{}{}
}
for name, dimHash := range newDimHashesByName {
r.dimHashesByName[name] = dimHash
}
return c, nil
}
func (r *registry) RegisterOrGet(m Collector) (Collector, error) {
existing, err := r.Register(m)
if err != nil && err != errAlreadyReg {
return nil, err
}
return existing, nil
}
func (r *registry) Unregister(c Collector) bool {
descChan := make(chan *Desc, capDescChan)
go func() {
c.Describe(descChan)
close(descChan)
}()
descIDs := map[uint64]struct{}{}
var collectorID uint64 // Just a sum of the desc IDs.
for desc := range descChan {
if _, exists := descIDs[desc.id]; !exists {
collectorID += desc.id
descIDs[desc.id] = struct{}{}
}
}
r.mtx.RLock()
if _, exists := r.collectorsByID[collectorID]; !exists {
r.mtx.RUnlock()
return false
}
r.mtx.RUnlock()
r.mtx.Lock()
defer r.mtx.Unlock()
delete(r.collectorsByID, collectorID)
for id := range descIDs {
delete(r.descIDs, id)
}
// dimHashesByName is left untouched as those must be consistent
// throughout the lifetime of a program.
return true
}
func (r *registry) Push(job, instance, pushURL, method string) error {
if !strings.Contains(pushURL, "://") {
pushURL = "http://" + pushURL
}
pushURL = fmt.Sprintf("%s/metrics/jobs/%s", pushURL, url.QueryEscape(job))
if instance != "" {
pushURL += "/instances/" + url.QueryEscape(instance)
}
buf := r.getBuf()
defer r.giveBuf(buf)
if err := r.writePB(expfmt.NewEncoder(buf, expfmt.FmtProtoDelim)); err != nil {
if r.panicOnCollectError {
panic(err)
}
return err
}
req, err := http.NewRequest(method, pushURL, buf)
if err != nil {
return err
}
req.Header.Set(contentTypeHeader, DelimitedTelemetryContentType)
resp, err := http.DefaultClient.Do(req)
if err != nil {
return err
}
defer resp.Body.Close()
if resp.StatusCode != 202 {
return fmt.Errorf("unexpected status code %d while pushing to %s", resp.StatusCode, pushURL)
}
return nil
}
func (r *registry) ServeHTTP(w http.ResponseWriter, req *http.Request) {
contentType := expfmt.Negotiate(req.Header)
buf := r.getBuf()
defer r.giveBuf(buf)
writer, encoding := decorateWriter(req, buf)
if err := r.writePB(expfmt.NewEncoder(writer, contentType)); err != nil {
if r.panicOnCollectError {
panic(err)
}
http.Error(w, "An error has occurred:\n\n"+err.Error(), http.StatusInternalServerError)
return
}
if closer, ok := writer.(io.Closer); ok {
closer.Close()
}
header := w.Header()
header.Set(contentTypeHeader, string(contentType))
header.Set(contentLengthHeader, fmt.Sprint(buf.Len()))
if encoding != "" {
header.Set(contentEncodingHeader, encoding)
}
w.Write(buf.Bytes())
}
func (r *registry) writePB(encoder expfmt.Encoder) error {
var metricHashes map[uint64]struct{}
if r.collectChecksEnabled {
metricHashes = make(map[uint64]struct{})
}
metricChan := make(chan Metric, capMetricChan)
wg := sync.WaitGroup{}
r.mtx.RLock()
metricFamiliesByName := make(map[string]*dto.MetricFamily, len(r.dimHashesByName))
// Scatter.
// (Collectors could be complex and slow, so we call them all at once.)
wg.Add(len(r.collectorsByID))
go func() {
wg.Wait()
close(metricChan)
}()
for _, collector := range r.collectorsByID {
go func(collector Collector) {
defer wg.Done()
collector.Collect(metricChan)
}(collector)
}
r.mtx.RUnlock()
// Drain metricChan in case of premature return.
defer func() {
for _ = range metricChan {
}
}()
// Gather.
for metric := range metricChan {
// This could be done concurrently, too, but it required locking
// of metricFamiliesByName (and of metricHashes if checks are
// enabled). Most likely not worth it.
desc := metric.Desc()
metricFamily, ok := metricFamiliesByName[desc.fqName]
if !ok {
metricFamily = r.getMetricFamily()
defer r.giveMetricFamily(metricFamily)
metricFamily.Name = proto.String(desc.fqName)
metricFamily.Help = proto.String(desc.help)
metricFamiliesByName[desc.fqName] = metricFamily
}
dtoMetric := r.getMetric()
defer r.giveMetric(dtoMetric)
if err := metric.Write(dtoMetric); err != nil {
// TODO: Consider different means of error reporting so
// that a single erroneous metric could be skipped
// instead of blowing up the whole collection.
return fmt.Errorf("error collecting metric %v: %s", desc, err)
}
switch {
case metricFamily.Type != nil:
// Type already set. We are good.
case dtoMetric.Gauge != nil:
metricFamily.Type = dto.MetricType_GAUGE.Enum()
case dtoMetric.Counter != nil:
metricFamily.Type = dto.MetricType_COUNTER.Enum()
case dtoMetric.Summary != nil:
metricFamily.Type = dto.MetricType_SUMMARY.Enum()
case dtoMetric.Untyped != nil:
metricFamily.Type = dto.MetricType_UNTYPED.Enum()
case dtoMetric.Histogram != nil:
metricFamily.Type = dto.MetricType_HISTOGRAM.Enum()
default:
return fmt.Errorf("empty metric collected: %s", dtoMetric)
}
if r.collectChecksEnabled {
if err := r.checkConsistency(metricFamily, dtoMetric, desc, metricHashes); err != nil {
return err
}
}
metricFamily.Metric = append(metricFamily.Metric, dtoMetric)
}
if r.metricFamilyInjectionHook != nil {
for _, mf := range r.metricFamilyInjectionHook() {
existingMF, exists := metricFamiliesByName[mf.GetName()]
if !exists {
metricFamiliesByName[mf.GetName()] = mf
if r.collectChecksEnabled {
for _, m := range mf.Metric {
if err := r.checkConsistency(mf, m, nil, metricHashes); err != nil {
return err
}
}
}
continue
}
for _, m := range mf.Metric {
if r.collectChecksEnabled {
if err := r.checkConsistency(existingMF, m, nil, metricHashes); err != nil {
return err
}
}
existingMF.Metric = append(existingMF.Metric, m)
}
}
}
// Now that MetricFamilies are all set, sort their Metrics
// lexicographically by their label values.
for _, mf := range metricFamiliesByName {
sort.Sort(metricSorter(mf.Metric))
}
// Write out MetricFamilies sorted by their name.
names := make([]string, 0, len(metricFamiliesByName))
for name := range metricFamiliesByName {
names = append(names, name)
}
sort.Strings(names)
for _, name := range names {
if err := encoder.Encode(metricFamiliesByName[name]); err != nil {
return err
}
}
return nil
}
func (r *registry) checkConsistency(metricFamily *dto.MetricFamily, dtoMetric *dto.Metric, desc *Desc, metricHashes map[uint64]struct{}) error {
// Type consistency with metric family.
if metricFamily.GetType() == dto.MetricType_GAUGE && dtoMetric.Gauge == nil ||
metricFamily.GetType() == dto.MetricType_COUNTER && dtoMetric.Counter == nil ||
metricFamily.GetType() == dto.MetricType_SUMMARY && dtoMetric.Summary == nil ||
metricFamily.GetType() == dto.MetricType_HISTOGRAM && dtoMetric.Histogram == nil ||
metricFamily.GetType() == dto.MetricType_UNTYPED && dtoMetric.Untyped == nil {
return fmt.Errorf(
"collected metric %s %s is not a %s",
metricFamily.GetName(), dtoMetric, metricFamily.GetType(),
)
}
// Is the metric unique (i.e. no other metric with the same name and the same label values)?
h := fnv.New64a()
var buf bytes.Buffer
buf.WriteString(metricFamily.GetName())
buf.WriteByte(separatorByte)
h.Write(buf.Bytes())
// Make sure label pairs are sorted. We depend on it for the consistency
// check. Label pairs must be sorted by contract. But the point of this
// method is to check for contract violations. So we better do the sort
// now.
sort.Sort(LabelPairSorter(dtoMetric.Label))
for _, lp := range dtoMetric.Label {
buf.Reset()
buf.WriteString(lp.GetValue())
buf.WriteByte(separatorByte)
h.Write(buf.Bytes())
}
metricHash := h.Sum64()
if _, exists := metricHashes[metricHash]; exists {
return fmt.Errorf(
"collected metric %s %s was collected before with the same name and label values",
metricFamily.GetName(), dtoMetric,
)
}
metricHashes[metricHash] = struct{}{}
if desc == nil {
return nil // Nothing left to check if we have no desc.
}
// Desc consistency with metric family.
if metricFamily.GetName() != desc.fqName {
return fmt.Errorf(
"collected metric %s %s has name %q but should have %q",
metricFamily.GetName(), dtoMetric, metricFamily.GetName(), desc.fqName,
)
}
if metricFamily.GetHelp() != desc.help {
return fmt.Errorf(
"collected metric %s %s has help %q but should have %q",
metricFamily.GetName(), dtoMetric, metricFamily.GetHelp(), desc.help,
)
}
// Is the desc consistent with the content of the metric?
lpsFromDesc := make([]*dto.LabelPair, 0, len(dtoMetric.Label))
lpsFromDesc = append(lpsFromDesc, desc.constLabelPairs...)
for _, l := range desc.variableLabels {
lpsFromDesc = append(lpsFromDesc, &dto.LabelPair{
Name: proto.String(l),
})
}
if len(lpsFromDesc) != len(dtoMetric.Label) {
return fmt.Errorf(
"labels in collected metric %s %s are inconsistent with descriptor %s",
metricFamily.GetName(), dtoMetric, desc,
)
}
sort.Sort(LabelPairSorter(lpsFromDesc))
for i, lpFromDesc := range lpsFromDesc {
lpFromMetric := dtoMetric.Label[i]
if lpFromDesc.GetName() != lpFromMetric.GetName() ||
lpFromDesc.Value != nil && lpFromDesc.GetValue() != lpFromMetric.GetValue() {
return fmt.Errorf(
"labels in collected metric %s %s are inconsistent with descriptor %s",
metricFamily.GetName(), dtoMetric, desc,
)
}
}
r.mtx.RLock() // Remaining checks need the read lock.
defer r.mtx.RUnlock()
// Is the desc registered?
if _, exist := r.descIDs[desc.id]; !exist {
return fmt.Errorf(
"collected metric %s %s with unregistered descriptor %s",
metricFamily.GetName(), dtoMetric, desc,
)
}
return nil
}
func (r *registry) getBuf() *bytes.Buffer {
select {
case buf := <-r.bufPool:
return buf
default:
return &bytes.Buffer{}
}
}
func (r *registry) giveBuf(buf *bytes.Buffer) {
buf.Reset()
select {
case r.bufPool <- buf:
default:
}
}
func (r *registry) getMetricFamily() *dto.MetricFamily {
select {
case mf := <-r.metricFamilyPool:
return mf
default:
return &dto.MetricFamily{}
}
}
func (r *registry) giveMetricFamily(mf *dto.MetricFamily) {
mf.Reset()
select {
case r.metricFamilyPool <- mf:
default:
}
}
func (r *registry) getMetric() *dto.Metric {
select {
case m := <-r.metricPool:
return m
default:
return &dto.Metric{}
}
}
func (r *registry) giveMetric(m *dto.Metric) {
m.Reset()
select {
case r.metricPool <- m:
default:
}
}
func newRegistry() *registry {
return &registry{
collectorsByID: map[uint64]Collector{},
descIDs: map[uint64]struct{}{},
dimHashesByName: map[string]uint64{},
bufPool: make(chan *bytes.Buffer, numBufs),
metricFamilyPool: make(chan *dto.MetricFamily, numMetricFamilies),
metricPool: make(chan *dto.Metric, numMetrics),
}
}
func newDefaultRegistry() *registry {
r := newRegistry()
r.Register(NewProcessCollector(os.Getpid(), ""))
r.Register(NewGoCollector())
return r
}
// decorateWriter wraps a writer to handle gzip compression if requested. It
// returns the decorated writer and the appropriate "Content-Encoding" header
// (which is empty if no compression is enabled).
func decorateWriter(request *http.Request, writer io.Writer) (io.Writer, string) {
header := request.Header.Get(acceptEncodingHeader)
parts := strings.Split(header, ",")
for _, part := range parts {
part := strings.TrimSpace(part)
if part == "gzip" || strings.HasPrefix(part, "gzip;") {
return gzip.NewWriter(writer), "gzip"
}
}
return writer, ""
}
type metricSorter []*dto.Metric
func (s metricSorter) Len() int {
return len(s)
}
func (s metricSorter) Swap(i, j int) {
s[i], s[j] = s[j], s[i]
}
func (s metricSorter) Less(i, j int) bool {
if len(s[i].Label) != len(s[j].Label) {
// This should not happen. The metrics are
// inconsistent. However, we have to deal with the fact, as
// people might use custom collectors or metric family injection
// to create inconsistent metrics. So let's simply compare the
// number of labels in this case. That will still yield
// reproducible sorting.
return len(s[i].Label) < len(s[j].Label)
}
for n, lp := range s[i].Label {
vi := lp.GetValue()
vj := s[j].Label[n].GetValue()
if vi != vj {
return vi < vj
}
}
return true
}

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vendor/github.com/prometheus/client_golang/prometheus/summary.go generated vendored Normal file
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@@ -0,0 +1,540 @@
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"fmt"
"hash/fnv"
"math"
"sort"
"sync"
"time"
"github.com/beorn7/perks/quantile"
"github.com/golang/protobuf/proto"
dto "github.com/prometheus/client_model/go"
)
// quantileLabel is used for the label that defines the quantile in a
// summary.
const quantileLabel = "quantile"
// A Summary captures individual observations from an event or sample stream and
// summarizes them in a manner similar to traditional summary statistics: 1. sum
// of observations, 2. observation count, 3. rank estimations.
//
// A typical use-case is the observation of request latencies. By default, a
// Summary provides the median, the 90th and the 99th percentile of the latency
// as rank estimations.
//
// Note that the rank estimations cannot be aggregated in a meaningful way with
// the Prometheus query language (i.e. you cannot average or add them). If you
// need aggregatable quantiles (e.g. you want the 99th percentile latency of all
// queries served across all instances of a service), consider the Histogram
// metric type. See the Prometheus documentation for more details.
//
// To create Summary instances, use NewSummary.
type Summary interface {
Metric
Collector
// Observe adds a single observation to the summary.
Observe(float64)
}
var (
// DefObjectives are the default Summary quantile values.
DefObjectives = map[float64]float64{0.5: 0.05, 0.9: 0.01, 0.99: 0.001}
errQuantileLabelNotAllowed = fmt.Errorf(
"%q is not allowed as label name in summaries", quantileLabel,
)
)
// Default values for SummaryOpts.
const (
// DefMaxAge is the default duration for which observations stay
// relevant.
DefMaxAge time.Duration = 10 * time.Minute
// DefAgeBuckets is the default number of buckets used to calculate the
// age of observations.
DefAgeBuckets = 5
// DefBufCap is the standard buffer size for collecting Summary observations.
DefBufCap = 500
)
// SummaryOpts bundles the options for creating a Summary metric. It is
// mandatory to set Name and Help to a non-empty string. All other fields are
// optional and can safely be left at their zero value.
type SummaryOpts struct {
// Namespace, Subsystem, and Name are components of the fully-qualified
// name of the Summary (created by joining these components with
// "_"). Only Name is mandatory, the others merely help structuring the
// name. Note that the fully-qualified name of the Summary must be a
// valid Prometheus metric name.
Namespace string
Subsystem string
Name string
// Help provides information about this Summary. Mandatory!
//
// Metrics with the same fully-qualified name must have the same Help
// string.
Help string
// ConstLabels are used to attach fixed labels to this
// Summary. Summaries with the same fully-qualified name must have the
// same label names in their ConstLabels.
//
// Note that in most cases, labels have a value that varies during the
// lifetime of a process. Those labels are usually managed with a
// SummaryVec. ConstLabels serve only special purposes. One is for the
// special case where the value of a label does not change during the
// lifetime of a process, e.g. if the revision of the running binary is
// put into a label. Another, more advanced purpose is if more than one
// Collector needs to collect Summaries with the same fully-qualified
// name. In that case, those Summaries must differ in the values of
// their ConstLabels. See the Collector examples.
//
// If the value of a label never changes (not even between binaries),
// that label most likely should not be a label at all (but part of the
// metric name).
ConstLabels Labels
// Objectives defines the quantile rank estimates with their respective
// absolute error. If Objectives[q] = e, then the value reported
// for q will be the φ-quantile value for some φ between q-e and q+e.
// The default value is DefObjectives.
Objectives map[float64]float64
// MaxAge defines the duration for which an observation stays relevant
// for the summary. Must be positive. The default value is DefMaxAge.
MaxAge time.Duration
// AgeBuckets is the number of buckets used to exclude observations that
// are older than MaxAge from the summary. A higher number has a
// resource penalty, so only increase it if the higher resolution is
// really required. For very high observation rates, you might want to
// reduce the number of age buckets. With only one age bucket, you will
// effectively see a complete reset of the summary each time MaxAge has
// passed. The default value is DefAgeBuckets.
AgeBuckets uint32
// BufCap defines the default sample stream buffer size. The default
// value of DefBufCap should suffice for most uses. If there is a need
// to increase the value, a multiple of 500 is recommended (because that
// is the internal buffer size of the underlying package
// "github.com/bmizerany/perks/quantile").
BufCap uint32
}
// TODO: Great fuck-up with the sliding-window decay algorithm... The Merge
// method of perk/quantile is actually not working as advertised - and it might
// be unfixable, as the underlying algorithm is apparently not capable of
// merging summaries in the first place. To avoid using Merge, we are currently
// adding observations to _each_ age bucket, i.e. the effort to add a sample is
// essentially multiplied by the number of age buckets. When rotating age
// buckets, we empty the previous head stream. On scrape time, we simply take
// the quantiles from the head stream (no merging required). Result: More effort
// on observation time, less effort on scrape time, which is exactly the
// opposite of what we try to accomplish, but at least the results are correct.
//
// The quite elegant previous contraption to merge the age buckets efficiently
// on scrape time (see code up commit 6b9530d72ea715f0ba612c0120e6e09fbf1d49d0)
// can't be used anymore.
// NewSummary creates a new Summary based on the provided SummaryOpts.
func NewSummary(opts SummaryOpts) Summary {
return newSummary(
NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
),
opts,
)
}
func newSummary(desc *Desc, opts SummaryOpts, labelValues ...string) Summary {
if len(desc.variableLabels) != len(labelValues) {
panic(errInconsistentCardinality)
}
for _, n := range desc.variableLabels {
if n == quantileLabel {
panic(errQuantileLabelNotAllowed)
}
}
for _, lp := range desc.constLabelPairs {
if lp.GetName() == quantileLabel {
panic(errQuantileLabelNotAllowed)
}
}
if len(opts.Objectives) == 0 {
opts.Objectives = DefObjectives
}
if opts.MaxAge < 0 {
panic(fmt.Errorf("illegal max age MaxAge=%v", opts.MaxAge))
}
if opts.MaxAge == 0 {
opts.MaxAge = DefMaxAge
}
if opts.AgeBuckets == 0 {
opts.AgeBuckets = DefAgeBuckets
}
if opts.BufCap == 0 {
opts.BufCap = DefBufCap
}
s := &summary{
desc: desc,
objectives: opts.Objectives,
sortedObjectives: make([]float64, 0, len(opts.Objectives)),
labelPairs: makeLabelPairs(desc, labelValues),
hotBuf: make([]float64, 0, opts.BufCap),
coldBuf: make([]float64, 0, opts.BufCap),
streamDuration: opts.MaxAge / time.Duration(opts.AgeBuckets),
}
s.headStreamExpTime = time.Now().Add(s.streamDuration)
s.hotBufExpTime = s.headStreamExpTime
for i := uint32(0); i < opts.AgeBuckets; i++ {
s.streams = append(s.streams, s.newStream())
}
s.headStream = s.streams[0]
for qu := range s.objectives {
s.sortedObjectives = append(s.sortedObjectives, qu)
}
sort.Float64s(s.sortedObjectives)
s.Init(s) // Init self-collection.
return s
}
type summary struct {
SelfCollector
bufMtx sync.Mutex // Protects hotBuf and hotBufExpTime.
mtx sync.Mutex // Protects every other moving part.
// Lock bufMtx before mtx if both are needed.
desc *Desc
objectives map[float64]float64
sortedObjectives []float64
labelPairs []*dto.LabelPair
sum float64
cnt uint64
hotBuf, coldBuf []float64
streams []*quantile.Stream
streamDuration time.Duration
headStream *quantile.Stream
headStreamIdx int
headStreamExpTime, hotBufExpTime time.Time
}
func (s *summary) Desc() *Desc {
return s.desc
}
func (s *summary) Observe(v float64) {
s.bufMtx.Lock()
defer s.bufMtx.Unlock()
now := time.Now()
if now.After(s.hotBufExpTime) {
s.asyncFlush(now)
}
s.hotBuf = append(s.hotBuf, v)
if len(s.hotBuf) == cap(s.hotBuf) {
s.asyncFlush(now)
}
}
func (s *summary) Write(out *dto.Metric) error {
sum := &dto.Summary{}
qs := make([]*dto.Quantile, 0, len(s.objectives))
s.bufMtx.Lock()
s.mtx.Lock()
// Swap bufs even if hotBuf is empty to set new hotBufExpTime.
s.swapBufs(time.Now())
s.bufMtx.Unlock()
s.flushColdBuf()
sum.SampleCount = proto.Uint64(s.cnt)
sum.SampleSum = proto.Float64(s.sum)
for _, rank := range s.sortedObjectives {
var q float64
if s.headStream.Count() == 0 {
q = math.NaN()
} else {
q = s.headStream.Query(rank)
}
qs = append(qs, &dto.Quantile{
Quantile: proto.Float64(rank),
Value: proto.Float64(q),
})
}
s.mtx.Unlock()
if len(qs) > 0 {
sort.Sort(quantSort(qs))
}
sum.Quantile = qs
out.Summary = sum
out.Label = s.labelPairs
return nil
}
func (s *summary) newStream() *quantile.Stream {
return quantile.NewTargeted(s.objectives)
}
// asyncFlush needs bufMtx locked.
func (s *summary) asyncFlush(now time.Time) {
s.mtx.Lock()
s.swapBufs(now)
// Unblock the original goroutine that was responsible for the mutation
// that triggered the compaction. But hold onto the global non-buffer
// state mutex until the operation finishes.
go func() {
s.flushColdBuf()
s.mtx.Unlock()
}()
}
// rotateStreams needs mtx AND bufMtx locked.
func (s *summary) maybeRotateStreams() {
for !s.hotBufExpTime.Equal(s.headStreamExpTime) {
s.headStream.Reset()
s.headStreamIdx++
if s.headStreamIdx >= len(s.streams) {
s.headStreamIdx = 0
}
s.headStream = s.streams[s.headStreamIdx]
s.headStreamExpTime = s.headStreamExpTime.Add(s.streamDuration)
}
}
// flushColdBuf needs mtx locked.
func (s *summary) flushColdBuf() {
for _, v := range s.coldBuf {
for _, stream := range s.streams {
stream.Insert(v)
}
s.cnt++
s.sum += v
}
s.coldBuf = s.coldBuf[0:0]
s.maybeRotateStreams()
}
// swapBufs needs mtx AND bufMtx locked, coldBuf must be empty.
func (s *summary) swapBufs(now time.Time) {
if len(s.coldBuf) != 0 {
panic("coldBuf is not empty")
}
s.hotBuf, s.coldBuf = s.coldBuf, s.hotBuf
// hotBuf is now empty and gets new expiration set.
for now.After(s.hotBufExpTime) {
s.hotBufExpTime = s.hotBufExpTime.Add(s.streamDuration)
}
}
type quantSort []*dto.Quantile
func (s quantSort) Len() int {
return len(s)
}
func (s quantSort) Swap(i, j int) {
s[i], s[j] = s[j], s[i]
}
func (s quantSort) Less(i, j int) bool {
return s[i].GetQuantile() < s[j].GetQuantile()
}
// SummaryVec is a Collector that bundles a set of Summaries that all share the
// same Desc, but have different values for their variable labels. This is used
// if you want to count the same thing partitioned by various dimensions
// (e.g. HTTP request latencies, partitioned by status code and method). Create
// instances with NewSummaryVec.
type SummaryVec struct {
MetricVec
}
// NewSummaryVec creates a new SummaryVec based on the provided SummaryOpts and
// partitioned by the given label names. At least one label name must be
// provided.
func NewSummaryVec(opts SummaryOpts, labelNames []string) *SummaryVec {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
labelNames,
opts.ConstLabels,
)
return &SummaryVec{
MetricVec: MetricVec{
children: map[uint64]Metric{},
desc: desc,
hash: fnv.New64a(),
newMetric: func(lvs ...string) Metric {
return newSummary(desc, opts, lvs...)
},
},
}
}
// GetMetricWithLabelValues replaces the method of the same name in
// MetricVec. The difference is that this method returns a Summary and not a
// Metric so that no type conversion is required.
func (m *SummaryVec) GetMetricWithLabelValues(lvs ...string) (Summary, error) {
metric, err := m.MetricVec.GetMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Summary), err
}
return nil, err
}
// GetMetricWith replaces the method of the same name in MetricVec. The
// difference is that this method returns a Summary and not a Metric so that no
// type conversion is required.
func (m *SummaryVec) GetMetricWith(labels Labels) (Summary, error) {
metric, err := m.MetricVec.GetMetricWith(labels)
if metric != nil {
return metric.(Summary), err
}
return nil, err
}
// WithLabelValues works as GetMetricWithLabelValues, but panics where
// GetMetricWithLabelValues would have returned an error. By not returning an
// error, WithLabelValues allows shortcuts like
// myVec.WithLabelValues("404", "GET").Observe(42.21)
func (m *SummaryVec) WithLabelValues(lvs ...string) Summary {
return m.MetricVec.WithLabelValues(lvs...).(Summary)
}
// With works as GetMetricWith, but panics where GetMetricWithLabels would have
// returned an error. By not returning an error, With allows shortcuts like
// myVec.With(Labels{"code": "404", "method": "GET"}).Observe(42.21)
func (m *SummaryVec) With(labels Labels) Summary {
return m.MetricVec.With(labels).(Summary)
}
type constSummary struct {
desc *Desc
count uint64
sum float64
quantiles map[float64]float64
labelPairs []*dto.LabelPair
}
func (s *constSummary) Desc() *Desc {
return s.desc
}
func (s *constSummary) Write(out *dto.Metric) error {
sum := &dto.Summary{}
qs := make([]*dto.Quantile, 0, len(s.quantiles))
sum.SampleCount = proto.Uint64(s.count)
sum.SampleSum = proto.Float64(s.sum)
for rank, q := range s.quantiles {
qs = append(qs, &dto.Quantile{
Quantile: proto.Float64(rank),
Value: proto.Float64(q),
})
}
if len(qs) > 0 {
sort.Sort(quantSort(qs))
}
sum.Quantile = qs
out.Summary = sum
out.Label = s.labelPairs
return nil
}
// NewConstSummary returns a metric representing a Prometheus summary with fixed
// values for the count, sum, and quantiles. As those parameters cannot be
// changed, the returned value does not implement the Summary interface (but
// only the Metric interface). Users of this package will not have much use for
// it in regular operations. However, when implementing custom Collectors, it is
// useful as a throw-away metric that is generated on the fly to send it to
// Prometheus in the Collect method.
//
// quantiles maps ranks to quantile values. For example, a median latency of
// 0.23s and a 99th percentile latency of 0.56s would be expressed as:
// map[float64]float64{0.5: 0.23, 0.99: 0.56}
//
// NewConstSummary returns an error if the length of labelValues is not
// consistent with the variable labels in Desc.
func NewConstSummary(
desc *Desc,
count uint64,
sum float64,
quantiles map[float64]float64,
labelValues ...string,
) (Metric, error) {
if len(desc.variableLabels) != len(labelValues) {
return nil, errInconsistentCardinality
}
return &constSummary{
desc: desc,
count: count,
sum: sum,
quantiles: quantiles,
labelPairs: makeLabelPairs(desc, labelValues),
}, nil
}
// MustNewConstSummary is a version of NewConstSummary that panics where
// NewConstMetric would have returned an error.
func MustNewConstSummary(
desc *Desc,
count uint64,
sum float64,
quantiles map[float64]float64,
labelValues ...string,
) Metric {
m, err := NewConstSummary(desc, count, sum, quantiles, labelValues...)
if err != nil {
panic(err)
}
return m
}

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vendor/github.com/prometheus/client_golang/prometheus/untyped.go generated vendored Normal file
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import "hash/fnv"
// Untyped is a Metric that represents a single numerical value that can
// arbitrarily go up and down.
//
// An Untyped metric works the same as a Gauge. The only difference is that to
// no type information is implied.
//
// To create Untyped instances, use NewUntyped.
type Untyped interface {
Metric
Collector
// Set sets the Untyped metric to an arbitrary value.
Set(float64)
// Inc increments the Untyped metric by 1.
Inc()
// Dec decrements the Untyped metric by 1.
Dec()
// Add adds the given value to the Untyped metric. (The value can be
// negative, resulting in a decrease.)
Add(float64)
// Sub subtracts the given value from the Untyped metric. (The value can
// be negative, resulting in an increase.)
Sub(float64)
}
// UntypedOpts is an alias for Opts. See there for doc comments.
type UntypedOpts Opts
// NewUntyped creates a new Untyped metric from the provided UntypedOpts.
func NewUntyped(opts UntypedOpts) Untyped {
return newValue(NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
), UntypedValue, 0)
}
// UntypedVec is a Collector that bundles a set of Untyped metrics that all
// share the same Desc, but have different values for their variable
// labels. This is used if you want to count the same thing partitioned by
// various dimensions. Create instances with NewUntypedVec.
type UntypedVec struct {
MetricVec
}
// NewUntypedVec creates a new UntypedVec based on the provided UntypedOpts and
// partitioned by the given label names. At least one label name must be
// provided.
func NewUntypedVec(opts UntypedOpts, labelNames []string) *UntypedVec {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
labelNames,
opts.ConstLabels,
)
return &UntypedVec{
MetricVec: MetricVec{
children: map[uint64]Metric{},
desc: desc,
hash: fnv.New64a(),
newMetric: func(lvs ...string) Metric {
return newValue(desc, UntypedValue, 0, lvs...)
},
},
}
}
// GetMetricWithLabelValues replaces the method of the same name in
// MetricVec. The difference is that this method returns an Untyped and not a
// Metric so that no type conversion is required.
func (m *UntypedVec) GetMetricWithLabelValues(lvs ...string) (Untyped, error) {
metric, err := m.MetricVec.GetMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Untyped), err
}
return nil, err
}
// GetMetricWith replaces the method of the same name in MetricVec. The
// difference is that this method returns an Untyped and not a Metric so that no
// type conversion is required.
func (m *UntypedVec) GetMetricWith(labels Labels) (Untyped, error) {
metric, err := m.MetricVec.GetMetricWith(labels)
if metric != nil {
return metric.(Untyped), err
}
return nil, err
}
// WithLabelValues works as GetMetricWithLabelValues, but panics where
// GetMetricWithLabelValues would have returned an error. By not returning an
// error, WithLabelValues allows shortcuts like
// myVec.WithLabelValues("404", "GET").Add(42)
func (m *UntypedVec) WithLabelValues(lvs ...string) Untyped {
return m.MetricVec.WithLabelValues(lvs...).(Untyped)
}
// With works as GetMetricWith, but panics where GetMetricWithLabels would have
// returned an error. By not returning an error, With allows shortcuts like
// myVec.With(Labels{"code": "404", "method": "GET"}).Add(42)
func (m *UntypedVec) With(labels Labels) Untyped {
return m.MetricVec.With(labels).(Untyped)
}
// UntypedFunc is an Untyped whose value is determined at collect time by
// calling a provided function.
//
// To create UntypedFunc instances, use NewUntypedFunc.
type UntypedFunc interface {
Metric
Collector
}
// NewUntypedFunc creates a new UntypedFunc based on the provided
// UntypedOpts. The value reported is determined by calling the given function
// from within the Write method. Take into account that metric collection may
// happen concurrently. If that results in concurrent calls to Write, like in
// the case where an UntypedFunc is directly registered with Prometheus, the
// provided function must be concurrency-safe.
func NewUntypedFunc(opts UntypedOpts, function func() float64) UntypedFunc {
return newValueFunc(NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
), UntypedValue, function)
}

234
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"errors"
"fmt"
"math"
"sort"
"sync/atomic"
dto "github.com/prometheus/client_model/go"
"github.com/golang/protobuf/proto"
)
// ValueType is an enumeration of metric types that represent a simple value.
type ValueType int
// Possible values for the ValueType enum.
const (
_ ValueType = iota
CounterValue
GaugeValue
UntypedValue
)
var errInconsistentCardinality = errors.New("inconsistent label cardinality")
// value is a generic metric for simple values. It implements Metric, Collector,
// Counter, Gauge, and Untyped. Its effective type is determined by
// ValueType. This is a low-level building block used by the library to back the
// implementations of Counter, Gauge, and Untyped.
type value struct {
// valBits containst the bits of the represented float64 value. It has
// to go first in the struct to guarantee alignment for atomic
// operations. http://golang.org/pkg/sync/atomic/#pkg-note-BUG
valBits uint64
SelfCollector
desc *Desc
valType ValueType
labelPairs []*dto.LabelPair
}
// newValue returns a newly allocated value with the given Desc, ValueType,
// sample value and label values. It panics if the number of label
// values is different from the number of variable labels in Desc.
func newValue(desc *Desc, valueType ValueType, val float64, labelValues ...string) *value {
if len(labelValues) != len(desc.variableLabels) {
panic(errInconsistentCardinality)
}
result := &value{
desc: desc,
valType: valueType,
valBits: math.Float64bits(val),
labelPairs: makeLabelPairs(desc, labelValues),
}
result.Init(result)
return result
}
func (v *value) Desc() *Desc {
return v.desc
}
func (v *value) Set(val float64) {
atomic.StoreUint64(&v.valBits, math.Float64bits(val))
}
func (v *value) Inc() {
v.Add(1)
}
func (v *value) Dec() {
v.Add(-1)
}
func (v *value) Add(val float64) {
for {
oldBits := atomic.LoadUint64(&v.valBits)
newBits := math.Float64bits(math.Float64frombits(oldBits) + val)
if atomic.CompareAndSwapUint64(&v.valBits, oldBits, newBits) {
return
}
}
}
func (v *value) Sub(val float64) {
v.Add(val * -1)
}
func (v *value) Write(out *dto.Metric) error {
val := math.Float64frombits(atomic.LoadUint64(&v.valBits))
return populateMetric(v.valType, val, v.labelPairs, out)
}
// valueFunc is a generic metric for simple values retrieved on collect time
// from a function. It implements Metric and Collector. Its effective type is
// determined by ValueType. This is a low-level building block used by the
// library to back the implementations of CounterFunc, GaugeFunc, and
// UntypedFunc.
type valueFunc struct {
SelfCollector
desc *Desc
valType ValueType
function func() float64
labelPairs []*dto.LabelPair
}
// newValueFunc returns a newly allocated valueFunc with the given Desc and
// ValueType. The value reported is determined by calling the given function
// from within the Write method. Take into account that metric collection may
// happen concurrently. If that results in concurrent calls to Write, like in
// the case where a valueFunc is directly registered with Prometheus, the
// provided function must be concurrency-safe.
func newValueFunc(desc *Desc, valueType ValueType, function func() float64) *valueFunc {
result := &valueFunc{
desc: desc,
valType: valueType,
function: function,
labelPairs: makeLabelPairs(desc, nil),
}
result.Init(result)
return result
}
func (v *valueFunc) Desc() *Desc {
return v.desc
}
func (v *valueFunc) Write(out *dto.Metric) error {
return populateMetric(v.valType, v.function(), v.labelPairs, out)
}
// NewConstMetric returns a metric with one fixed value that cannot be
// changed. Users of this package will not have much use for it in regular
// operations. However, when implementing custom Collectors, it is useful as a
// throw-away metric that is generated on the fly to send it to Prometheus in
// the Collect method. NewConstMetric returns an error if the length of
// labelValues is not consistent with the variable labels in Desc.
func NewConstMetric(desc *Desc, valueType ValueType, value float64, labelValues ...string) (Metric, error) {
if len(desc.variableLabels) != len(labelValues) {
return nil, errInconsistentCardinality
}
return &constMetric{
desc: desc,
valType: valueType,
val: value,
labelPairs: makeLabelPairs(desc, labelValues),
}, nil
}
// MustNewConstMetric is a version of NewConstMetric that panics where
// NewConstMetric would have returned an error.
func MustNewConstMetric(desc *Desc, valueType ValueType, value float64, labelValues ...string) Metric {
m, err := NewConstMetric(desc, valueType, value, labelValues...)
if err != nil {
panic(err)
}
return m
}
type constMetric struct {
desc *Desc
valType ValueType
val float64
labelPairs []*dto.LabelPair
}
func (m *constMetric) Desc() *Desc {
return m.desc
}
func (m *constMetric) Write(out *dto.Metric) error {
return populateMetric(m.valType, m.val, m.labelPairs, out)
}
func populateMetric(
t ValueType,
v float64,
labelPairs []*dto.LabelPair,
m *dto.Metric,
) error {
m.Label = labelPairs
switch t {
case CounterValue:
m.Counter = &dto.Counter{Value: proto.Float64(v)}
case GaugeValue:
m.Gauge = &dto.Gauge{Value: proto.Float64(v)}
case UntypedValue:
m.Untyped = &dto.Untyped{Value: proto.Float64(v)}
default:
return fmt.Errorf("encountered unknown type %v", t)
}
return nil
}
func makeLabelPairs(desc *Desc, labelValues []string) []*dto.LabelPair {
totalLen := len(desc.variableLabels) + len(desc.constLabelPairs)
if totalLen == 0 {
// Super fast path.
return nil
}
if len(desc.variableLabels) == 0 {
// Moderately fast path.
return desc.constLabelPairs
}
labelPairs := make([]*dto.LabelPair, 0, totalLen)
for i, n := range desc.variableLabels {
labelPairs = append(labelPairs, &dto.LabelPair{
Name: proto.String(n),
Value: proto.String(labelValues[i]),
})
}
for _, lp := range desc.constLabelPairs {
labelPairs = append(labelPairs, lp)
}
sort.Sort(LabelPairSorter(labelPairs))
return labelPairs
}

247
vendor/github.com/prometheus/client_golang/prometheus/vec.go generated vendored Normal file
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"bytes"
"fmt"
"hash"
"sync"
)
// MetricVec is a Collector to bundle metrics of the same name that
// differ in their label values. MetricVec is usually not used directly but as a
// building block for implementations of vectors of a given metric
// type. GaugeVec, CounterVec, SummaryVec, and UntypedVec are examples already
// provided in this package.
type MetricVec struct {
mtx sync.RWMutex // Protects not only children, but also hash and buf.
children map[uint64]Metric
desc *Desc
// hash is our own hash instance to avoid repeated allocations.
hash hash.Hash64
// buf is used to copy string contents into it for hashing,
// again to avoid allocations.
buf bytes.Buffer
newMetric func(labelValues ...string) Metric
}
// Describe implements Collector. The length of the returned slice
// is always one.
func (m *MetricVec) Describe(ch chan<- *Desc) {
ch <- m.desc
}
// Collect implements Collector.
func (m *MetricVec) Collect(ch chan<- Metric) {
m.mtx.RLock()
defer m.mtx.RUnlock()
for _, metric := range m.children {
ch <- metric
}
}
// GetMetricWithLabelValues returns the Metric for the given slice of label
// values (same order as the VariableLabels in Desc). If that combination of
// label values is accessed for the first time, a new Metric is created.
//
// It is possible to call this method without using the returned Metric to only
// create the new Metric but leave it at its start value (e.g. a Summary or
// Histogram without any observations). See also the SummaryVec example.
//
// Keeping the Metric for later use is possible (and should be considered if
// performance is critical), but keep in mind that Reset, DeleteLabelValues and
// Delete can be used to delete the Metric from the MetricVec. In that case, the
// Metric will still exist, but it will not be exported anymore, even if a
// Metric with the same label values is created later. See also the CounterVec
// example.
//
// An error is returned if the number of label values is not the same as the
// number of VariableLabels in Desc.
//
// Note that for more than one label value, this method is prone to mistakes
// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
// an alternative to avoid that type of mistake. For higher label numbers, the
// latter has a much more readable (albeit more verbose) syntax, but it comes
// with a performance overhead (for creating and processing the Labels map).
// See also the GaugeVec example.
func (m *MetricVec) GetMetricWithLabelValues(lvs ...string) (Metric, error) {
m.mtx.Lock()
defer m.mtx.Unlock()
h, err := m.hashLabelValues(lvs)
if err != nil {
return nil, err
}
return m.getOrCreateMetric(h, lvs...), nil
}
// GetMetricWith returns the Metric for the given Labels map (the label names
// must match those of the VariableLabels in Desc). If that label map is
// accessed for the first time, a new Metric is created. Implications of
// creating a Metric without using it and keeping the Metric for later use are
// the same as for GetMetricWithLabelValues.
//
// An error is returned if the number and names of the Labels are inconsistent
// with those of the VariableLabels in Desc.
//
// This method is used for the same purpose as
// GetMetricWithLabelValues(...string). See there for pros and cons of the two
// methods.
func (m *MetricVec) GetMetricWith(labels Labels) (Metric, error) {
m.mtx.Lock()
defer m.mtx.Unlock()
h, err := m.hashLabels(labels)
if err != nil {
return nil, err
}
lvs := make([]string, len(labels))
for i, label := range m.desc.variableLabels {
lvs[i] = labels[label]
}
return m.getOrCreateMetric(h, lvs...), nil
}
// WithLabelValues works as GetMetricWithLabelValues, but panics if an error
// occurs. The method allows neat syntax like:
// httpReqs.WithLabelValues("404", "POST").Inc()
func (m *MetricVec) WithLabelValues(lvs ...string) Metric {
metric, err := m.GetMetricWithLabelValues(lvs...)
if err != nil {
panic(err)
}
return metric
}
// With works as GetMetricWith, but panics if an error occurs. The method allows
// neat syntax like:
// httpReqs.With(Labels{"status":"404", "method":"POST"}).Inc()
func (m *MetricVec) With(labels Labels) Metric {
metric, err := m.GetMetricWith(labels)
if err != nil {
panic(err)
}
return metric
}
// DeleteLabelValues removes the metric where the variable labels are the same
// as those passed in as labels (same order as the VariableLabels in Desc). It
// returns true if a metric was deleted.
//
// It is not an error if the number of label values is not the same as the
// number of VariableLabels in Desc. However, such inconsistent label count can
// never match an actual Metric, so the method will always return false in that
// case.
//
// Note that for more than one label value, this method is prone to mistakes
// caused by an incorrect order of arguments. Consider Delete(Labels) as an
// alternative to avoid that type of mistake. For higher label numbers, the
// latter has a much more readable (albeit more verbose) syntax, but it comes
// with a performance overhead (for creating and processing the Labels map).
// See also the CounterVec example.
func (m *MetricVec) DeleteLabelValues(lvs ...string) bool {
m.mtx.Lock()
defer m.mtx.Unlock()
h, err := m.hashLabelValues(lvs)
if err != nil {
return false
}
if _, has := m.children[h]; !has {
return false
}
delete(m.children, h)
return true
}
// Delete deletes the metric where the variable labels are the same as those
// passed in as labels. It returns true if a metric was deleted.
//
// It is not an error if the number and names of the Labels are inconsistent
// with those of the VariableLabels in the Desc of the MetricVec. However, such
// inconsistent Labels can never match an actual Metric, so the method will
// always return false in that case.
//
// This method is used for the same purpose as DeleteLabelValues(...string). See
// there for pros and cons of the two methods.
func (m *MetricVec) Delete(labels Labels) bool {
m.mtx.Lock()
defer m.mtx.Unlock()
h, err := m.hashLabels(labels)
if err != nil {
return false
}
if _, has := m.children[h]; !has {
return false
}
delete(m.children, h)
return true
}
// Reset deletes all metrics in this vector.
func (m *MetricVec) Reset() {
m.mtx.Lock()
defer m.mtx.Unlock()
for h := range m.children {
delete(m.children, h)
}
}
func (m *MetricVec) hashLabelValues(vals []string) (uint64, error) {
if len(vals) != len(m.desc.variableLabels) {
return 0, errInconsistentCardinality
}
m.hash.Reset()
for _, val := range vals {
m.buf.Reset()
m.buf.WriteString(val)
m.hash.Write(m.buf.Bytes())
}
return m.hash.Sum64(), nil
}
func (m *MetricVec) hashLabels(labels Labels) (uint64, error) {
if len(labels) != len(m.desc.variableLabels) {
return 0, errInconsistentCardinality
}
m.hash.Reset()
for _, label := range m.desc.variableLabels {
val, ok := labels[label]
if !ok {
return 0, fmt.Errorf("label name %q missing in label map", label)
}
m.buf.Reset()
m.buf.WriteString(val)
m.hash.Write(m.buf.Bytes())
}
return m.hash.Sum64(), nil
}
func (m *MetricVec) getOrCreateMetric(hash uint64, labelValues ...string) Metric {
metric, ok := m.children[hash]
if !ok {
// Copy labelValues. Otherwise, they would be allocated even if we don't go
// down this code path.
copiedLabelValues := append(make([]string, 0, len(labelValues)), labelValues...)
metric = m.newMetric(copiedLabelValues...)
m.children[hash] = metric
}
return metric
}

201
vendor/github.com/prometheus/client_model/LICENSE generated vendored Normal file
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Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
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"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
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direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
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including but not limited to software source code, documentation
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transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
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designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
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2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
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3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
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cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
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(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
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within such NOTICE file, excluding those notices that do not
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of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
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See the License for the specific language governing permissions and
limitations under the License.

5
vendor/github.com/prometheus/client_model/NOTICE generated vendored Normal file
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Data model artifacts for Prometheus.
Copyright 2012-2015 The Prometheus Authors
This product includes software developed at
SoundCloud Ltd. (http://soundcloud.com/).

364
vendor/github.com/prometheus/client_model/go/metrics.pb.go generated vendored Normal file
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// Code generated by protoc-gen-go.
// source: metrics.proto
// DO NOT EDIT!
/*
Package io_prometheus_client is a generated protocol buffer package.
It is generated from these files:
metrics.proto
It has these top-level messages:
LabelPair
Gauge
Counter
Quantile
Summary
Untyped
Histogram
Bucket
Metric
MetricFamily
*/
package io_prometheus_client
import proto "github.com/golang/protobuf/proto"
import math "math"
// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
var _ = math.Inf
type MetricType int32
const (
MetricType_COUNTER MetricType = 0
MetricType_GAUGE MetricType = 1
MetricType_SUMMARY MetricType = 2
MetricType_UNTYPED MetricType = 3
MetricType_HISTOGRAM MetricType = 4
)
var MetricType_name = map[int32]string{
0: "COUNTER",
1: "GAUGE",
2: "SUMMARY",
3: "UNTYPED",
4: "HISTOGRAM",
}
var MetricType_value = map[string]int32{
"COUNTER": 0,
"GAUGE": 1,
"SUMMARY": 2,
"UNTYPED": 3,
"HISTOGRAM": 4,
}
func (x MetricType) Enum() *MetricType {
p := new(MetricType)
*p = x
return p
}
func (x MetricType) String() string {
return proto.EnumName(MetricType_name, int32(x))
}
func (x *MetricType) UnmarshalJSON(data []byte) error {
value, err := proto.UnmarshalJSONEnum(MetricType_value, data, "MetricType")
if err != nil {
return err
}
*x = MetricType(value)
return nil
}
type LabelPair struct {
Name *string `protobuf:"bytes,1,opt,name=name" json:"name,omitempty"`
Value *string `protobuf:"bytes,2,opt,name=value" json:"value,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *LabelPair) Reset() { *m = LabelPair{} }
func (m *LabelPair) String() string { return proto.CompactTextString(m) }
func (*LabelPair) ProtoMessage() {}
func (m *LabelPair) GetName() string {
if m != nil && m.Name != nil {
return *m.Name
}
return ""
}
func (m *LabelPair) GetValue() string {
if m != nil && m.Value != nil {
return *m.Value
}
return ""
}
type Gauge struct {
Value *float64 `protobuf:"fixed64,1,opt,name=value" json:"value,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Gauge) Reset() { *m = Gauge{} }
func (m *Gauge) String() string { return proto.CompactTextString(m) }
func (*Gauge) ProtoMessage() {}
func (m *Gauge) GetValue() float64 {
if m != nil && m.Value != nil {
return *m.Value
}
return 0
}
type Counter struct {
Value *float64 `protobuf:"fixed64,1,opt,name=value" json:"value,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Counter) Reset() { *m = Counter{} }
func (m *Counter) String() string { return proto.CompactTextString(m) }
func (*Counter) ProtoMessage() {}
func (m *Counter) GetValue() float64 {
if m != nil && m.Value != nil {
return *m.Value
}
return 0
}
type Quantile struct {
Quantile *float64 `protobuf:"fixed64,1,opt,name=quantile" json:"quantile,omitempty"`
Value *float64 `protobuf:"fixed64,2,opt,name=value" json:"value,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Quantile) Reset() { *m = Quantile{} }
func (m *Quantile) String() string { return proto.CompactTextString(m) }
func (*Quantile) ProtoMessage() {}
func (m *Quantile) GetQuantile() float64 {
if m != nil && m.Quantile != nil {
return *m.Quantile
}
return 0
}
func (m *Quantile) GetValue() float64 {
if m != nil && m.Value != nil {
return *m.Value
}
return 0
}
type Summary struct {
SampleCount *uint64 `protobuf:"varint,1,opt,name=sample_count" json:"sample_count,omitempty"`
SampleSum *float64 `protobuf:"fixed64,2,opt,name=sample_sum" json:"sample_sum,omitempty"`
Quantile []*Quantile `protobuf:"bytes,3,rep,name=quantile" json:"quantile,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Summary) Reset() { *m = Summary{} }
func (m *Summary) String() string { return proto.CompactTextString(m) }
func (*Summary) ProtoMessage() {}
func (m *Summary) GetSampleCount() uint64 {
if m != nil && m.SampleCount != nil {
return *m.SampleCount
}
return 0
}
func (m *Summary) GetSampleSum() float64 {
if m != nil && m.SampleSum != nil {
return *m.SampleSum
}
return 0
}
func (m *Summary) GetQuantile() []*Quantile {
if m != nil {
return m.Quantile
}
return nil
}
type Untyped struct {
Value *float64 `protobuf:"fixed64,1,opt,name=value" json:"value,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Untyped) Reset() { *m = Untyped{} }
func (m *Untyped) String() string { return proto.CompactTextString(m) }
func (*Untyped) ProtoMessage() {}
func (m *Untyped) GetValue() float64 {
if m != nil && m.Value != nil {
return *m.Value
}
return 0
}
type Histogram struct {
SampleCount *uint64 `protobuf:"varint,1,opt,name=sample_count" json:"sample_count,omitempty"`
SampleSum *float64 `protobuf:"fixed64,2,opt,name=sample_sum" json:"sample_sum,omitempty"`
Bucket []*Bucket `protobuf:"bytes,3,rep,name=bucket" json:"bucket,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Histogram) Reset() { *m = Histogram{} }
func (m *Histogram) String() string { return proto.CompactTextString(m) }
func (*Histogram) ProtoMessage() {}
func (m *Histogram) GetSampleCount() uint64 {
if m != nil && m.SampleCount != nil {
return *m.SampleCount
}
return 0
}
func (m *Histogram) GetSampleSum() float64 {
if m != nil && m.SampleSum != nil {
return *m.SampleSum
}
return 0
}
func (m *Histogram) GetBucket() []*Bucket {
if m != nil {
return m.Bucket
}
return nil
}
type Bucket struct {
CumulativeCount *uint64 `protobuf:"varint,1,opt,name=cumulative_count" json:"cumulative_count,omitempty"`
UpperBound *float64 `protobuf:"fixed64,2,opt,name=upper_bound" json:"upper_bound,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Bucket) Reset() { *m = Bucket{} }
func (m *Bucket) String() string { return proto.CompactTextString(m) }
func (*Bucket) ProtoMessage() {}
func (m *Bucket) GetCumulativeCount() uint64 {
if m != nil && m.CumulativeCount != nil {
return *m.CumulativeCount
}
return 0
}
func (m *Bucket) GetUpperBound() float64 {
if m != nil && m.UpperBound != nil {
return *m.UpperBound
}
return 0
}
type Metric struct {
Label []*LabelPair `protobuf:"bytes,1,rep,name=label" json:"label,omitempty"`
Gauge *Gauge `protobuf:"bytes,2,opt,name=gauge" json:"gauge,omitempty"`
Counter *Counter `protobuf:"bytes,3,opt,name=counter" json:"counter,omitempty"`
Summary *Summary `protobuf:"bytes,4,opt,name=summary" json:"summary,omitempty"`
Untyped *Untyped `protobuf:"bytes,5,opt,name=untyped" json:"untyped,omitempty"`
Histogram *Histogram `protobuf:"bytes,7,opt,name=histogram" json:"histogram,omitempty"`
TimestampMs *int64 `protobuf:"varint,6,opt,name=timestamp_ms" json:"timestamp_ms,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *Metric) Reset() { *m = Metric{} }
func (m *Metric) String() string { return proto.CompactTextString(m) }
func (*Metric) ProtoMessage() {}
func (m *Metric) GetLabel() []*LabelPair {
if m != nil {
return m.Label
}
return nil
}
func (m *Metric) GetGauge() *Gauge {
if m != nil {
return m.Gauge
}
return nil
}
func (m *Metric) GetCounter() *Counter {
if m != nil {
return m.Counter
}
return nil
}
func (m *Metric) GetSummary() *Summary {
if m != nil {
return m.Summary
}
return nil
}
func (m *Metric) GetUntyped() *Untyped {
if m != nil {
return m.Untyped
}
return nil
}
func (m *Metric) GetHistogram() *Histogram {
if m != nil {
return m.Histogram
}
return nil
}
func (m *Metric) GetTimestampMs() int64 {
if m != nil && m.TimestampMs != nil {
return *m.TimestampMs
}
return 0
}
type MetricFamily struct {
Name *string `protobuf:"bytes,1,opt,name=name" json:"name,omitempty"`
Help *string `protobuf:"bytes,2,opt,name=help" json:"help,omitempty"`
Type *MetricType `protobuf:"varint,3,opt,name=type,enum=io.prometheus.client.MetricType" json:"type,omitempty"`
Metric []*Metric `protobuf:"bytes,4,rep,name=metric" json:"metric,omitempty"`
XXX_unrecognized []byte `json:"-"`
}
func (m *MetricFamily) Reset() { *m = MetricFamily{} }
func (m *MetricFamily) String() string { return proto.CompactTextString(m) }
func (*MetricFamily) ProtoMessage() {}
func (m *MetricFamily) GetName() string {
if m != nil && m.Name != nil {
return *m.Name
}
return ""
}
func (m *MetricFamily) GetHelp() string {
if m != nil && m.Help != nil {
return *m.Help
}
return ""
}
func (m *MetricFamily) GetType() MetricType {
if m != nil && m.Type != nil {
return *m.Type
}
return MetricType_COUNTER
}
func (m *MetricFamily) GetMetric() []*Metric {
if m != nil {
return m.Metric
}
return nil
}
func init() {
proto.RegisterEnum("io.prometheus.client.MetricType", MetricType_name, MetricType_value)
}

201
vendor/github.com/prometheus/client_model/ruby/LICENSE generated vendored Normal file
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@@ -0,0 +1,201 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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410
vendor/github.com/prometheus/common/expfmt/decode.go generated vendored Normal file
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// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package expfmt
import (
"fmt"
"io"
"math"
"mime"
"net/http"
dto "github.com/prometheus/client_model/go"
"github.com/matttproud/golang_protobuf_extensions/pbutil"
"github.com/prometheus/common/model"
)
// Decoder types decode an input stream into metric families.
type Decoder interface {
Decode(*dto.MetricFamily) error
}
type DecodeOptions struct {
// Timestamp is added to each value from the stream that has no explicit timestamp set.
Timestamp model.Time
}
// ResponseFormat extracts the correct format from a HTTP response header.
func ResponseFormat(h http.Header) (Format, error) {
ct := h.Get(hdrContentType)
mediatype, params, err := mime.ParseMediaType(ct)
if err != nil {
return "", fmt.Errorf("invalid Content-Type header %q: %s", ct, err)
}
const (
textType = "text/plain"
jsonType = "application/json"
)
switch mediatype {
case ProtoType:
if p := params["proto"]; p != ProtoProtocol {
return "", fmt.Errorf("unrecognized protocol message %s", p)
}
if e := params["encoding"]; e != "delimited" {
return "", fmt.Errorf("unsupported encoding %s", e)
}
return FmtProtoDelim, nil
case textType:
if v, ok := params["version"]; ok && v != TextVersion {
return "", fmt.Errorf("unrecognized protocol version %s", v)
}
return FmtText, nil
case jsonType:
var prometheusAPIVersion string
if params["schema"] == "prometheus/telemetry" && params["version"] != "" {
prometheusAPIVersion = params["version"]
} else {
prometheusAPIVersion = h.Get("X-Prometheus-API-Version")
}
switch prometheusAPIVersion {
case "0.0.2":
return FmtJSON2, nil
default:
return "", fmt.Errorf("unrecognized API version %s", prometheusAPIVersion)
}
}
return "", fmt.Errorf("unsupported media type %q, expected %q or %q", mediatype, ProtoType, textType)
}
// NewDecoder returns a new decoder based on the HTTP header.
func NewDecoder(r io.Reader, format Format) (Decoder, error) {
switch format {
case FmtProtoDelim:
return &protoDecoder{r: r}, nil
case FmtText:
return &textDecoder{r: r}, nil
case FmtJSON2:
return newJSON2Decoder(r), nil
}
return nil, fmt.Errorf("unsupported decoding format %q", format)
}
// protoDecoder implements the Decoder interface for protocol buffers.
type protoDecoder struct {
r io.Reader
}
// Decode implements the Decoder interface.
func (d *protoDecoder) Decode(v *dto.MetricFamily) error {
_, err := pbutil.ReadDelimited(d.r, v)
return err
}
// textDecoder implements the Decoder interface for the text protcol.
type textDecoder struct {
r io.Reader
p TextParser
fams []*dto.MetricFamily
}
// Decode implements the Decoder interface.
func (d *textDecoder) Decode(v *dto.MetricFamily) error {
// TODO(fabxc): Wrap this as a line reader to make streaming safer.
if len(d.fams) == 0 {
// No cached metric families, read everything and parse metrics.
fams, err := d.p.TextToMetricFamilies(d.r)
if err != nil {
return err
}
if len(fams) == 0 {
return io.EOF
}
for _, f := range fams {
d.fams = append(d.fams, f)
}
}
*v = *d.fams[len(d.fams)-1]
d.fams = d.fams[:len(d.fams)-1]
return nil
}
type SampleDecoder struct {
Dec Decoder
Opts *DecodeOptions
f dto.MetricFamily
}
func (sd *SampleDecoder) Decode(s *model.Vector) error {
if err := sd.Dec.Decode(&sd.f); err != nil {
return err
}
*s = extractSamples(&sd.f, sd.Opts)
return nil
}
// Extract samples builds a slice of samples from the provided metric families.
func ExtractSamples(o *DecodeOptions, fams ...*dto.MetricFamily) model.Vector {
var all model.Vector
for _, f := range fams {
all = append(all, extractSamples(f, o)...)
}
return all
}
func extractSamples(f *dto.MetricFamily, o *DecodeOptions) model.Vector {
switch f.GetType() {
case dto.MetricType_COUNTER:
return extractCounter(o, f)
case dto.MetricType_GAUGE:
return extractGauge(o, f)
case dto.MetricType_SUMMARY:
return extractSummary(o, f)
case dto.MetricType_UNTYPED:
return extractUntyped(o, f)
case dto.MetricType_HISTOGRAM:
return extractHistogram(o, f)
}
panic("expfmt.extractSamples: unknown metric family type")
}
func extractCounter(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
samples := make(model.Vector, 0, len(f.Metric))
for _, m := range f.Metric {
if m.Counter == nil {
continue
}
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
smpl := &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Counter.GetValue()),
}
if m.TimestampMs != nil {
smpl.Timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
} else {
smpl.Timestamp = o.Timestamp
}
samples = append(samples, smpl)
}
return samples
}
func extractGauge(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
samples := make(model.Vector, 0, len(f.Metric))
for _, m := range f.Metric {
if m.Gauge == nil {
continue
}
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
smpl := &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Gauge.GetValue()),
}
if m.TimestampMs != nil {
smpl.Timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
} else {
smpl.Timestamp = o.Timestamp
}
samples = append(samples, smpl)
}
return samples
}
func extractUntyped(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
samples := make(model.Vector, 0, len(f.Metric))
for _, m := range f.Metric {
if m.Untyped == nil {
continue
}
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
smpl := &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Untyped.GetValue()),
}
if m.TimestampMs != nil {
smpl.Timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
} else {
smpl.Timestamp = o.Timestamp
}
samples = append(samples, smpl)
}
return samples
}
func extractSummary(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
samples := make(model.Vector, 0, len(f.Metric))
for _, m := range f.Metric {
if m.Summary == nil {
continue
}
timestamp := o.Timestamp
if m.TimestampMs != nil {
timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
}
for _, q := range m.Summary.Quantile {
lset := make(model.LabelSet, len(m.Label)+2)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
// BUG(matt): Update other names to "quantile".
lset[model.LabelName(model.QuantileLabel)] = model.LabelValue(fmt.Sprint(q.GetQuantile()))
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(q.GetValue()),
Timestamp: timestamp,
})
}
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_sum")
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Summary.GetSampleSum()),
Timestamp: timestamp,
})
lset = make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_count")
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Summary.GetSampleCount()),
Timestamp: timestamp,
})
}
return samples
}
func extractHistogram(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
samples := make(model.Vector, 0, len(f.Metric))
for _, m := range f.Metric {
if m.Histogram == nil {
continue
}
timestamp := o.Timestamp
if m.TimestampMs != nil {
timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
}
infSeen := false
for _, q := range m.Histogram.Bucket {
lset := make(model.LabelSet, len(m.Label)+2)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.LabelName(model.BucketLabel)] = model.LabelValue(fmt.Sprint(q.GetUpperBound()))
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_bucket")
if math.IsInf(q.GetUpperBound(), +1) {
infSeen = true
}
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(q.GetCumulativeCount()),
Timestamp: timestamp,
})
}
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_sum")
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Histogram.GetSampleSum()),
Timestamp: timestamp,
})
lset = make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_count")
count := &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Histogram.GetSampleCount()),
Timestamp: timestamp,
}
samples = append(samples, count)
if !infSeen {
// Append an infinity bucket sample.
lset := make(model.LabelSet, len(m.Label)+2)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.LabelName(model.BucketLabel)] = model.LabelValue("+Inf")
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_bucket")
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: count.Value,
Timestamp: timestamp,
})
}
}
return samples
}

88
vendor/github.com/prometheus/common/expfmt/encode.go generated vendored Normal file
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// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package expfmt
import (
"fmt"
"io"
"net/http"
"bitbucket.org/ww/goautoneg"
"github.com/golang/protobuf/proto"
"github.com/matttproud/golang_protobuf_extensions/pbutil"
dto "github.com/prometheus/client_model/go"
)
// Encoder types encode metric families into an underlying wire protocol.
type Encoder interface {
Encode(*dto.MetricFamily) error
}
type encoder func(*dto.MetricFamily) error
func (e encoder) Encode(v *dto.MetricFamily) error {
return e(v)
}
// Negotiate returns the Content-Type based on the given Accept header.
// If no appropriate accepted type is found, FmtText is returned.
func Negotiate(h http.Header) Format {
for _, ac := range goautoneg.ParseAccept(h.Get(hdrAccept)) {
// Check for protocol buffer
if ac.Type+"/"+ac.SubType == ProtoType && ac.Params["proto"] == ProtoProtocol {
switch ac.Params["encoding"] {
case "delimited":
return FmtProtoDelim
case "text":
return FmtProtoText
case "compact-text":
return FmtProtoCompact
}
}
// Check for text format.
ver := ac.Params["version"]
if ac.Type == "text" && ac.SubType == "plain" && (ver == TextVersion || ver == "") {
return FmtText
}
}
return FmtText
}
// NewEncoder returns a new encoder based on content type negotiation.
func NewEncoder(w io.Writer, format Format) Encoder {
switch format {
case FmtProtoDelim:
return encoder(func(v *dto.MetricFamily) error {
_, err := pbutil.WriteDelimited(w, v)
return err
})
case FmtProtoCompact:
return encoder(func(v *dto.MetricFamily) error {
_, err := fmt.Fprintln(w, v.String())
return err
})
case FmtProtoText:
return encoder(func(v *dto.MetricFamily) error {
_, err := fmt.Fprintln(w, proto.MarshalTextString(v))
return err
})
case FmtText:
return encoder(func(v *dto.MetricFamily) error {
_, err := MetricFamilyToText(w, v)
return err
})
}
panic("expfmt.NewEncoder: unknown format")
}

37
vendor/github.com/prometheus/common/expfmt/expfmt.go generated vendored Normal file
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@@ -0,0 +1,37 @@
// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// A package for reading and writing Prometheus metrics.
package expfmt
type Format string
const (
TextVersion = "0.0.4"
ProtoType = `application/vnd.google.protobuf`
ProtoProtocol = `io.prometheus.client.MetricFamily`
ProtoFmt = ProtoType + "; proto=" + ProtoProtocol + ";"
// The Content-Type values for the different wire protocols.
FmtText Format = `text/plain; version=` + TextVersion
FmtProtoDelim Format = ProtoFmt + ` encoding=delimited`
FmtProtoText Format = ProtoFmt + ` encoding=text`
FmtProtoCompact Format = ProtoFmt + ` encoding=compact-text`
FmtJSON2 Format = `application/json; version=0.0.2`
)
const (
hdrContentType = "Content-Type"
hdrAccept = "Accept"
)

36
vendor/github.com/prometheus/common/expfmt/fuzz.go generated vendored Normal file
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@@ -0,0 +1,36 @@
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Build only when actually fuzzing
// +build gofuzz
package expfmt
import "bytes"
// Fuzz text metric parser with with github.com/dvyukov/go-fuzz:
//
// go-fuzz-build github.com/prometheus/client_golang/text
// go-fuzz -bin text-fuzz.zip -workdir fuzz
//
// Further input samples should go in the folder fuzz/corpus.
func Fuzz(in []byte) int {
parser := TextParser{}
_, err := parser.TextToMetricFamilies(bytes.NewReader(in))
if err != nil {
return 0
}
return 1
}

2
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_0 generated vendored Normal file
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@@ -0,0 +1,2 @@

6
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_1 generated vendored Normal file
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minimal_metric 1.234
another_metric -3e3 103948
# Even that:
no_labels{} 3
# HELP line for non-existing metric will be ignored.

12
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_2 generated vendored Normal file
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@@ -0,0 +1,12 @@
# A normal comment.
#
# TYPE name counter
name{labelname="val1",basename="basevalue"} NaN
name {labelname="val2",basename="base\"v\\al\nue"} 0.23 1234567890
# HELP name two-line\n doc str\\ing
# HELP name2 doc str"ing 2
# TYPE name2 gauge
name2{labelname="val2" ,basename = "basevalue2" } +Inf 54321
name2{ labelname = "val1" , }-Inf

22
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_3 generated vendored Normal file
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@@ -0,0 +1,22 @@
# TYPE my_summary summary
my_summary{n1="val1",quantile="0.5"} 110
decoy -1 -2
my_summary{n1="val1",quantile="0.9"} 140 1
my_summary_count{n1="val1"} 42
# Latest timestamp wins in case of a summary.
my_summary_sum{n1="val1"} 4711 2
fake_sum{n1="val1"} 2001
# TYPE another_summary summary
another_summary_count{n2="val2",n1="val1"} 20
my_summary_count{n2="val2",n1="val1"} 5 5
another_summary{n1="val1",n2="val2",quantile=".3"} -1.2
my_summary_sum{n1="val2"} 08 15
my_summary{n1="val3", quantile="0.2"} 4711
my_summary{n1="val1",n2="val2",quantile="-12.34",} NaN
# some
# funny comments
# HELP
# HELP
# HELP my_summary
# HELP my_summary

10
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_4 generated vendored Normal file
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# HELP request_duration_microseconds The response latency.
# TYPE request_duration_microseconds histogram
request_duration_microseconds_bucket{le="100"} 123
request_duration_microseconds_bucket{le="120"} 412
request_duration_microseconds_bucket{le="144"} 592
request_duration_microseconds_bucket{le="172.8"} 1524
request_duration_microseconds_bucket{le="+Inf"} 2693
request_duration_microseconds_sum 1.7560473e+06
request_duration_microseconds_count 2693

1
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_0 generated vendored Normal file
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bla 3.14

1
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_1 generated vendored Normal file
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metric{label="\t"} 3.14

1
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_10 generated vendored Normal file
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@@ -0,0 +1 @@
metric{label="bla"} 3.14 2 3

1
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_11 generated vendored Normal file
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metric{label="bla"} blubb

3
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_12 generated vendored Normal file
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@@ -0,0 +1,3 @@
# HELP metric one
# HELP metric two

3
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_13 generated vendored Normal file
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@@ -0,0 +1,3 @@
# TYPE metric counter
# TYPE metric untyped

3
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_14 generated vendored Normal file
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@@ -0,0 +1,3 @@
metric 4.12
# TYPE metric counter

2
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_15 generated vendored Normal file
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# TYPE metric bla

2
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_16 generated vendored Normal file
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@@ -0,0 +1,2 @@
# TYPE met-ric

1
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_17 generated vendored Normal file
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@@ -0,0 +1 @@
@invalidmetric{label="bla"} 3.14 2

1
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_18 generated vendored Normal file
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@@ -0,0 +1 @@
{label="bla"} 3.14 2

3
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_19 generated vendored Normal file
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@@ -0,0 +1,3 @@
# TYPE metric histogram
metric_bucket{le="bla"} 3.14

3
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_2 generated vendored Normal file
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@@ -0,0 +1,3 @@
metric{label="new
line"} 3.14

1
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_3 generated vendored Normal file
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@@ -0,0 +1 @@
metric{@="bla"} 3.14

1
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_4 generated vendored Normal file
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@@ -0,0 +1 @@
metric{__name__="bla"} 3.14

1
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_5 generated vendored Normal file
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metric{label+="bla"} 3.14

1
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_6 generated vendored Normal file
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metric{label=bla} 3.14

3
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_7 generated vendored Normal file
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# TYPE metric summary
metric{quantile="bla"} 3.14

1
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_8 generated vendored Normal file
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@@ -0,0 +1 @@
metric{label="bla"+} 3.14

1
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/from_test_parse_error_9 generated vendored Normal file
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@@ -0,0 +1 @@
metric{label="bla"} 3.14 2.72

1
vendor/github.com/prometheus/common/expfmt/fuzz/corpus/minimal generated vendored Normal file
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m{} 0

162
vendor/github.com/prometheus/common/expfmt/json_decode.go generated vendored Normal file
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// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package expfmt
import (
"encoding/json"
"fmt"
"io"
"sort"
"github.com/golang/protobuf/proto"
dto "github.com/prometheus/client_model/go"
"github.com/prometheus/common/model"
)
type json2Decoder struct {
dec *json.Decoder
fams []*dto.MetricFamily
}
func newJSON2Decoder(r io.Reader) Decoder {
return &json2Decoder{
dec: json.NewDecoder(r),
}
}
type histogram002 struct {
Labels model.LabelSet `json:"labels"`
Values map[string]float64 `json:"value"`
}
type counter002 struct {
Labels model.LabelSet `json:"labels"`
Value float64 `json:"value"`
}
func protoLabelSet(base, ext model.LabelSet) []*dto.LabelPair {
labels := base.Clone().Merge(ext)
delete(labels, model.MetricNameLabel)
names := make([]string, 0, len(labels))
for ln := range labels {
names = append(names, string(ln))
}
sort.Strings(names)
pairs := make([]*dto.LabelPair, 0, len(labels))
for _, ln := range names {
lv := labels[model.LabelName(ln)]
pairs = append(pairs, &dto.LabelPair{
Name: proto.String(ln),
Value: proto.String(string(lv)),
})
}
return pairs
}
func (d *json2Decoder) more() error {
var entities []struct {
BaseLabels model.LabelSet `json:"baseLabels"`
Docstring string `json:"docstring"`
Metric struct {
Type string `json:"type"`
Values json.RawMessage `json:"value"`
} `json:"metric"`
}
if err := d.dec.Decode(&entities); err != nil {
return err
}
for _, e := range entities {
f := &dto.MetricFamily{
Name: proto.String(string(e.BaseLabels[model.MetricNameLabel])),
Help: proto.String(e.Docstring),
Type: dto.MetricType_UNTYPED.Enum(),
Metric: []*dto.Metric{},
}
d.fams = append(d.fams, f)
switch e.Metric.Type {
case "counter", "gauge":
var values []counter002
if err := json.Unmarshal(e.Metric.Values, &values); err != nil {
return fmt.Errorf("could not extract %s value: %s", e.Metric.Type, err)
}
for _, ctr := range values {
f.Metric = append(f.Metric, &dto.Metric{
Label: protoLabelSet(e.BaseLabels, ctr.Labels),
Untyped: &dto.Untyped{
Value: proto.Float64(ctr.Value),
},
})
}
case "histogram":
var values []histogram002
if err := json.Unmarshal(e.Metric.Values, &values); err != nil {
return fmt.Errorf("could not extract %s value: %s", e.Metric.Type, err)
}
for _, hist := range values {
quants := make([]string, 0, len(values))
for q := range hist.Values {
quants = append(quants, q)
}
sort.Strings(quants)
for _, q := range quants {
value := hist.Values[q]
// The correct label is "quantile" but to not break old expressions
// this remains "percentile"
hist.Labels["percentile"] = model.LabelValue(q)
f.Metric = append(f.Metric, &dto.Metric{
Label: protoLabelSet(e.BaseLabels, hist.Labels),
Untyped: &dto.Untyped{
Value: proto.Float64(value),
},
})
}
}
default:
return fmt.Errorf("unknown metric type %q", e.Metric.Type)
}
}
return nil
}
// Decode implements the Decoder interface.
func (d *json2Decoder) Decode(v *dto.MetricFamily) error {
if len(d.fams) == 0 {
if err := d.more(); err != nil {
return err
}
}
*v = *d.fams[0]
d.fams = d.fams[1:]
return nil
}

305
vendor/github.com/prometheus/common/expfmt/text_create.go generated vendored Normal file
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@@ -0,0 +1,305 @@
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package expfmt
import (
"bytes"
"fmt"
"io"
"math"
"strings"
dto "github.com/prometheus/client_model/go"
"github.com/prometheus/common/model"
)
// MetricFamilyToText converts a MetricFamily proto message into text format and
// writes the resulting lines to 'out'. It returns the number of bytes written
// and any error encountered. This function does not perform checks on the
// content of the metric and label names, i.e. invalid metric or label names
// will result in invalid text format output.
// This method fulfills the type 'prometheus.encoder'.
func MetricFamilyToText(out io.Writer, in *dto.MetricFamily) (int, error) {
var written int
// Fail-fast checks.
if len(in.Metric) == 0 {
return written, fmt.Errorf("MetricFamily has no metrics: %s", in)
}
name := in.GetName()
if name == "" {
return written, fmt.Errorf("MetricFamily has no name: %s", in)
}
// Comments, first HELP, then TYPE.
if in.Help != nil {
n, err := fmt.Fprintf(
out, "# HELP %s %s\n",
name, escapeString(*in.Help, false),
)
written += n
if err != nil {
return written, err
}
}
metricType := in.GetType()
n, err := fmt.Fprintf(
out, "# TYPE %s %s\n",
name, strings.ToLower(metricType.String()),
)
written += n
if err != nil {
return written, err
}
// Finally the samples, one line for each.
for _, metric := range in.Metric {
switch metricType {
case dto.MetricType_COUNTER:
if metric.Counter == nil {
return written, fmt.Errorf(
"expected counter in metric %s %s", name, metric,
)
}
n, err = writeSample(
name, metric, "", "",
metric.Counter.GetValue(),
out,
)
case dto.MetricType_GAUGE:
if metric.Gauge == nil {
return written, fmt.Errorf(
"expected gauge in metric %s %s", name, metric,
)
}
n, err = writeSample(
name, metric, "", "",
metric.Gauge.GetValue(),
out,
)
case dto.MetricType_UNTYPED:
if metric.Untyped == nil {
return written, fmt.Errorf(
"expected untyped in metric %s %s", name, metric,
)
}
n, err = writeSample(
name, metric, "", "",
metric.Untyped.GetValue(),
out,
)
case dto.MetricType_SUMMARY:
if metric.Summary == nil {
return written, fmt.Errorf(
"expected summary in metric %s %s", name, metric,
)
}
for _, q := range metric.Summary.Quantile {
n, err = writeSample(
name, metric,
model.QuantileLabel, fmt.Sprint(q.GetQuantile()),
q.GetValue(),
out,
)
written += n
if err != nil {
return written, err
}
}
n, err = writeSample(
name+"_sum", metric, "", "",
metric.Summary.GetSampleSum(),
out,
)
if err != nil {
return written, err
}
written += n
n, err = writeSample(
name+"_count", metric, "", "",
float64(metric.Summary.GetSampleCount()),
out,
)
case dto.MetricType_HISTOGRAM:
if metric.Histogram == nil {
return written, fmt.Errorf(
"expected histogram in metric %s %s", name, metric,
)
}
infSeen := false
for _, q := range metric.Histogram.Bucket {
n, err = writeSample(
name+"_bucket", metric,
model.BucketLabel, fmt.Sprint(q.GetUpperBound()),
float64(q.GetCumulativeCount()),
out,
)
written += n
if err != nil {
return written, err
}
if math.IsInf(q.GetUpperBound(), +1) {
infSeen = true
}
}
if !infSeen {
n, err = writeSample(
name+"_bucket", metric,
model.BucketLabel, "+Inf",
float64(metric.Histogram.GetSampleCount()),
out,
)
if err != nil {
return written, err
}
written += n
}
n, err = writeSample(
name+"_sum", metric, "", "",
metric.Histogram.GetSampleSum(),
out,
)
if err != nil {
return written, err
}
written += n
n, err = writeSample(
name+"_count", metric, "", "",
float64(metric.Histogram.GetSampleCount()),
out,
)
default:
return written, fmt.Errorf(
"unexpected type in metric %s %s", name, metric,
)
}
written += n
if err != nil {
return written, err
}
}
return written, nil
}
// writeSample writes a single sample in text format to out, given the metric
// name, the metric proto message itself, optionally an additional label name
// and value (use empty strings if not required), and the value. The function
// returns the number of bytes written and any error encountered.
func writeSample(
name string,
metric *dto.Metric,
additionalLabelName, additionalLabelValue string,
value float64,
out io.Writer,
) (int, error) {
var written int
n, err := fmt.Fprint(out, name)
written += n
if err != nil {
return written, err
}
n, err = labelPairsToText(
metric.Label,
additionalLabelName, additionalLabelValue,
out,
)
written += n
if err != nil {
return written, err
}
n, err = fmt.Fprintf(out, " %v", value)
written += n
if err != nil {
return written, err
}
if metric.TimestampMs != nil {
n, err = fmt.Fprintf(out, " %v", *metric.TimestampMs)
written += n
if err != nil {
return written, err
}
}
n, err = out.Write([]byte{'\n'})
written += n
if err != nil {
return written, err
}
return written, nil
}
// labelPairsToText converts a slice of LabelPair proto messages plus the
// explicitly given additional label pair into text formatted as required by the
// text format and writes it to 'out'. An empty slice in combination with an
// empty string 'additionalLabelName' results in nothing being
// written. Otherwise, the label pairs are written, escaped as required by the
// text format, and enclosed in '{...}'. The function returns the number of
// bytes written and any error encountered.
func labelPairsToText(
in []*dto.LabelPair,
additionalLabelName, additionalLabelValue string,
out io.Writer,
) (int, error) {
if len(in) == 0 && additionalLabelName == "" {
return 0, nil
}
var written int
separator := '{'
for _, lp := range in {
n, err := fmt.Fprintf(
out, `%c%s="%s"`,
separator, lp.GetName(), escapeString(lp.GetValue(), true),
)
written += n
if err != nil {
return written, err
}
separator = ','
}
if additionalLabelName != "" {
n, err := fmt.Fprintf(
out, `%c%s="%s"`,
separator, additionalLabelName,
escapeString(additionalLabelValue, true),
)
written += n
if err != nil {
return written, err
}
}
n, err := out.Write([]byte{'}'})
written += n
if err != nil {
return written, err
}
return written, nil
}
// escapeString replaces '\' by '\\', new line character by '\n', and - if
// includeDoubleQuote is true - '"' by '\"'.
func escapeString(v string, includeDoubleQuote bool) string {
result := bytes.NewBuffer(make([]byte, 0, len(v)))
for _, c := range v {
switch {
case c == '\\':
result.WriteString(`\\`)
case includeDoubleQuote && c == '"':
result.WriteString(`\"`)
case c == '\n':
result.WriteString(`\n`)
default:
result.WriteRune(c)
}
}
return result.String()
}

746
vendor/github.com/prometheus/common/expfmt/text_parse.go generated vendored Normal file
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@@ -0,0 +1,746 @@
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package expfmt
import (
"bufio"
"bytes"
"fmt"
"io"
"math"
"strconv"
"strings"
dto "github.com/prometheus/client_model/go"
"github.com/golang/protobuf/proto"
"github.com/prometheus/common/model"
)
// A stateFn is a function that represents a state in a state machine. By
// executing it, the state is progressed to the next state. The stateFn returns
// another stateFn, which represents the new state. The end state is represented
// by nil.
type stateFn func() stateFn
// ParseError signals errors while parsing the simple and flat text-based
// exchange format.
type ParseError struct {
Line int
Msg string
}
// Error implements the error interface.
func (e ParseError) Error() string {
return fmt.Sprintf("text format parsing error in line %d: %s", e.Line, e.Msg)
}
// TextParser is used to parse the simple and flat text-based exchange format. Its
// nil value is ready to use.
type TextParser struct {
metricFamiliesByName map[string]*dto.MetricFamily
buf *bufio.Reader // Where the parsed input is read through.
err error // Most recent error.
lineCount int // Tracks the line count for error messages.
currentByte byte // The most recent byte read.
currentToken bytes.Buffer // Re-used each time a token has to be gathered from multiple bytes.
currentMF *dto.MetricFamily
currentMetric *dto.Metric
currentLabelPair *dto.LabelPair
// The remaining member variables are only used for summaries/histograms.
currentLabels map[string]string // All labels including '__name__' but excluding 'quantile'/'le'
// Summary specific.
summaries map[uint64]*dto.Metric // Key is created with LabelsToSignature.
currentQuantile float64
// Histogram specific.
histograms map[uint64]*dto.Metric // Key is created with LabelsToSignature.
currentBucket float64
// These tell us if the currently processed line ends on '_count' or
// '_sum' respectively and belong to a summary/histogram, representing the sample
// count and sum of that summary/histogram.
currentIsSummaryCount, currentIsSummarySum bool
currentIsHistogramCount, currentIsHistogramSum bool
}
// TextToMetricFamilies reads 'in' as the simple and flat text-based exchange
// format and creates MetricFamily proto messages. It returns the MetricFamily
// proto messages in a map where the metric names are the keys, along with any
// error encountered.
//
// If the input contains duplicate metrics (i.e. lines with the same metric name
// and exactly the same label set), the resulting MetricFamily will contain
// duplicate Metric proto messages. Similar is true for duplicate label
// names. Checks for duplicates have to be performed separately, if required.
// Also note that neither the metrics within each MetricFamily are sorted nor
// the label pairs within each Metric. Sorting is not required for the most
// frequent use of this method, which is sample ingestion in the Prometheus
// server. However, for presentation purposes, you might want to sort the
// metrics, and in some cases, you must sort the labels, e.g. for consumption by
// the metric family injection hook of the Prometheus registry.
//
// Summaries and histograms are rather special beasts. You would probably not
// use them in the simple text format anyway. This method can deal with
// summaries and histograms if they are presented in exactly the way the
// text.Create function creates them.
//
// This method must not be called concurrently. If you want to parse different
// input concurrently, instantiate a separate Parser for each goroutine.
func (p *TextParser) TextToMetricFamilies(in io.Reader) (map[string]*dto.MetricFamily, error) {
p.reset(in)
for nextState := p.startOfLine; nextState != nil; nextState = nextState() {
// Magic happens here...
}
// Get rid of empty metric families.
for k, mf := range p.metricFamiliesByName {
if len(mf.GetMetric()) == 0 {
delete(p.metricFamiliesByName, k)
}
}
return p.metricFamiliesByName, p.err
}
func (p *TextParser) reset(in io.Reader) {
p.metricFamiliesByName = map[string]*dto.MetricFamily{}
if p.buf == nil {
p.buf = bufio.NewReader(in)
} else {
p.buf.Reset(in)
}
p.err = nil
p.lineCount = 0
if p.summaries == nil || len(p.summaries) > 0 {
p.summaries = map[uint64]*dto.Metric{}
}
if p.histograms == nil || len(p.histograms) > 0 {
p.histograms = map[uint64]*dto.Metric{}
}
p.currentQuantile = math.NaN()
p.currentBucket = math.NaN()
}
// startOfLine represents the state where the next byte read from p.buf is the
// start of a line (or whitespace leading up to it).
func (p *TextParser) startOfLine() stateFn {
p.lineCount++
if p.skipBlankTab(); p.err != nil {
// End of input reached. This is the only case where
// that is not an error but a signal that we are done.
p.err = nil
return nil
}
switch p.currentByte {
case '#':
return p.startComment
case '\n':
return p.startOfLine // Empty line, start the next one.
}
return p.readingMetricName
}
// startComment represents the state where the next byte read from p.buf is the
// start of a comment (or whitespace leading up to it).
func (p *TextParser) startComment() stateFn {
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
if p.currentByte == '\n' {
return p.startOfLine
}
if p.readTokenUntilWhitespace(); p.err != nil {
return nil // Unexpected end of input.
}
// If we have hit the end of line already, there is nothing left
// to do. This is not considered a syntax error.
if p.currentByte == '\n' {
return p.startOfLine
}
keyword := p.currentToken.String()
if keyword != "HELP" && keyword != "TYPE" {
// Generic comment, ignore by fast forwarding to end of line.
for p.currentByte != '\n' {
if p.currentByte, p.err = p.buf.ReadByte(); p.err != nil {
return nil // Unexpected end of input.
}
}
return p.startOfLine
}
// There is something. Next has to be a metric name.
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
if p.readTokenAsMetricName(); p.err != nil {
return nil // Unexpected end of input.
}
if p.currentByte == '\n' {
// At the end of the line already.
// Again, this is not considered a syntax error.
return p.startOfLine
}
if !isBlankOrTab(p.currentByte) {
p.parseError("invalid metric name in comment")
return nil
}
p.setOrCreateCurrentMF()
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
if p.currentByte == '\n' {
// At the end of the line already.
// Again, this is not considered a syntax error.
return p.startOfLine
}
switch keyword {
case "HELP":
return p.readingHelp
case "TYPE":
return p.readingType
}
panic(fmt.Sprintf("code error: unexpected keyword %q", keyword))
}
// readingMetricName represents the state where the last byte read (now in
// p.currentByte) is the first byte of a metric name.
func (p *TextParser) readingMetricName() stateFn {
if p.readTokenAsMetricName(); p.err != nil {
return nil
}
if p.currentToken.Len() == 0 {
p.parseError("invalid metric name")
return nil
}
p.setOrCreateCurrentMF()
// Now is the time to fix the type if it hasn't happened yet.
if p.currentMF.Type == nil {
p.currentMF.Type = dto.MetricType_UNTYPED.Enum()
}
p.currentMetric = &dto.Metric{}
// Do not append the newly created currentMetric to
// currentMF.Metric right now. First wait if this is a summary,
// and the metric exists already, which we can only know after
// having read all the labels.
if p.skipBlankTabIfCurrentBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
return p.readingLabels
}
// readingLabels represents the state where the last byte read (now in
// p.currentByte) is either the first byte of the label set (i.e. a '{'), or the
// first byte of the value (otherwise).
func (p *TextParser) readingLabels() stateFn {
// Summaries/histograms are special. We have to reset the
// currentLabels map, currentQuantile and currentBucket before starting to
// read labels.
if p.currentMF.GetType() == dto.MetricType_SUMMARY || p.currentMF.GetType() == dto.MetricType_HISTOGRAM {
p.currentLabels = map[string]string{}
p.currentLabels[string(model.MetricNameLabel)] = p.currentMF.GetName()
p.currentQuantile = math.NaN()
p.currentBucket = math.NaN()
}
if p.currentByte != '{' {
return p.readingValue
}
return p.startLabelName
}
// startLabelName represents the state where the next byte read from p.buf is
// the start of a label name (or whitespace leading up to it).
func (p *TextParser) startLabelName() stateFn {
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
if p.currentByte == '}' {
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
return p.readingValue
}
if p.readTokenAsLabelName(); p.err != nil {
return nil // Unexpected end of input.
}
if p.currentToken.Len() == 0 {
p.parseError(fmt.Sprintf("invalid label name for metric %q", p.currentMF.GetName()))
return nil
}
p.currentLabelPair = &dto.LabelPair{Name: proto.String(p.currentToken.String())}
if p.currentLabelPair.GetName() == string(model.MetricNameLabel) {
p.parseError(fmt.Sprintf("label name %q is reserved", model.MetricNameLabel))
return nil
}
// Special summary/histogram treatment. Don't add 'quantile' and 'le'
// labels to 'real' labels.
if !(p.currentMF.GetType() == dto.MetricType_SUMMARY && p.currentLabelPair.GetName() == model.QuantileLabel) &&
!(p.currentMF.GetType() == dto.MetricType_HISTOGRAM && p.currentLabelPair.GetName() == model.BucketLabel) {
p.currentMetric.Label = append(p.currentMetric.Label, p.currentLabelPair)
}
if p.skipBlankTabIfCurrentBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
if p.currentByte != '=' {
p.parseError(fmt.Sprintf("expected '=' after label name, found %q", p.currentByte))
return nil
}
return p.startLabelValue
}
// startLabelValue represents the state where the next byte read from p.buf is
// the start of a (quoted) label value (or whitespace leading up to it).
func (p *TextParser) startLabelValue() stateFn {
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
if p.currentByte != '"' {
p.parseError(fmt.Sprintf("expected '\"' at start of label value, found %q", p.currentByte))
return nil
}
if p.readTokenAsLabelValue(); p.err != nil {
return nil
}
p.currentLabelPair.Value = proto.String(p.currentToken.String())
// Special treatment of summaries:
// - Quantile labels are special, will result in dto.Quantile later.
// - Other labels have to be added to currentLabels for signature calculation.
if p.currentMF.GetType() == dto.MetricType_SUMMARY {
if p.currentLabelPair.GetName() == model.QuantileLabel {
if p.currentQuantile, p.err = strconv.ParseFloat(p.currentLabelPair.GetValue(), 64); p.err != nil {
// Create a more helpful error message.
p.parseError(fmt.Sprintf("expected float as value for 'quantile' label, got %q", p.currentLabelPair.GetValue()))
return nil
}
} else {
p.currentLabels[p.currentLabelPair.GetName()] = p.currentLabelPair.GetValue()
}
}
// Similar special treatment of histograms.
if p.currentMF.GetType() == dto.MetricType_HISTOGRAM {
if p.currentLabelPair.GetName() == model.BucketLabel {
if p.currentBucket, p.err = strconv.ParseFloat(p.currentLabelPair.GetValue(), 64); p.err != nil {
// Create a more helpful error message.
p.parseError(fmt.Sprintf("expected float as value for 'le' label, got %q", p.currentLabelPair.GetValue()))
return nil
}
} else {
p.currentLabels[p.currentLabelPair.GetName()] = p.currentLabelPair.GetValue()
}
}
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
switch p.currentByte {
case ',':
return p.startLabelName
case '}':
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
return p.readingValue
default:
p.parseError(fmt.Sprintf("unexpected end of label value %q", p.currentLabelPair.Value))
return nil
}
}
// readingValue represents the state where the last byte read (now in
// p.currentByte) is the first byte of the sample value (i.e. a float).
func (p *TextParser) readingValue() stateFn {
// When we are here, we have read all the labels, so for the
// special case of a summary/histogram, we can finally find out
// if the metric already exists.
if p.currentMF.GetType() == dto.MetricType_SUMMARY {
signature := model.LabelsToSignature(p.currentLabels)
if summary := p.summaries[signature]; summary != nil {
p.currentMetric = summary
} else {
p.summaries[signature] = p.currentMetric
p.currentMF.Metric = append(p.currentMF.Metric, p.currentMetric)
}
} else if p.currentMF.GetType() == dto.MetricType_HISTOGRAM {
signature := model.LabelsToSignature(p.currentLabels)
if histogram := p.histograms[signature]; histogram != nil {
p.currentMetric = histogram
} else {
p.histograms[signature] = p.currentMetric
p.currentMF.Metric = append(p.currentMF.Metric, p.currentMetric)
}
} else {
p.currentMF.Metric = append(p.currentMF.Metric, p.currentMetric)
}
if p.readTokenUntilWhitespace(); p.err != nil {
return nil // Unexpected end of input.
}
value, err := strconv.ParseFloat(p.currentToken.String(), 64)
if err != nil {
// Create a more helpful error message.
p.parseError(fmt.Sprintf("expected float as value, got %q", p.currentToken.String()))
return nil
}
switch p.currentMF.GetType() {
case dto.MetricType_COUNTER:
p.currentMetric.Counter = &dto.Counter{Value: proto.Float64(value)}
case dto.MetricType_GAUGE:
p.currentMetric.Gauge = &dto.Gauge{Value: proto.Float64(value)}
case dto.MetricType_UNTYPED:
p.currentMetric.Untyped = &dto.Untyped{Value: proto.Float64(value)}
case dto.MetricType_SUMMARY:
// *sigh*
if p.currentMetric.Summary == nil {
p.currentMetric.Summary = &dto.Summary{}
}
switch {
case p.currentIsSummaryCount:
p.currentMetric.Summary.SampleCount = proto.Uint64(uint64(value))
case p.currentIsSummarySum:
p.currentMetric.Summary.SampleSum = proto.Float64(value)
case !math.IsNaN(p.currentQuantile):
p.currentMetric.Summary.Quantile = append(
p.currentMetric.Summary.Quantile,
&dto.Quantile{
Quantile: proto.Float64(p.currentQuantile),
Value: proto.Float64(value),
},
)
}
case dto.MetricType_HISTOGRAM:
// *sigh*
if p.currentMetric.Histogram == nil {
p.currentMetric.Histogram = &dto.Histogram{}
}
switch {
case p.currentIsHistogramCount:
p.currentMetric.Histogram.SampleCount = proto.Uint64(uint64(value))
case p.currentIsHistogramSum:
p.currentMetric.Histogram.SampleSum = proto.Float64(value)
case !math.IsNaN(p.currentBucket):
p.currentMetric.Histogram.Bucket = append(
p.currentMetric.Histogram.Bucket,
&dto.Bucket{
UpperBound: proto.Float64(p.currentBucket),
CumulativeCount: proto.Uint64(uint64(value)),
},
)
}
default:
p.err = fmt.Errorf("unexpected type for metric name %q", p.currentMF.GetName())
}
if p.currentByte == '\n' {
return p.startOfLine
}
return p.startTimestamp
}
// startTimestamp represents the state where the next byte read from p.buf is
// the start of the timestamp (or whitespace leading up to it).
func (p *TextParser) startTimestamp() stateFn {
if p.skipBlankTab(); p.err != nil {
return nil // Unexpected end of input.
}
if p.readTokenUntilWhitespace(); p.err != nil {
return nil // Unexpected end of input.
}
timestamp, err := strconv.ParseInt(p.currentToken.String(), 10, 64)
if err != nil {
// Create a more helpful error message.
p.parseError(fmt.Sprintf("expected integer as timestamp, got %q", p.currentToken.String()))
return nil
}
p.currentMetric.TimestampMs = proto.Int64(timestamp)
if p.readTokenUntilNewline(false); p.err != nil {
return nil // Unexpected end of input.
}
if p.currentToken.Len() > 0 {
p.parseError(fmt.Sprintf("spurious string after timestamp: %q", p.currentToken.String()))
return nil
}
return p.startOfLine
}
// readingHelp represents the state where the last byte read (now in
// p.currentByte) is the first byte of the docstring after 'HELP'.
func (p *TextParser) readingHelp() stateFn {
if p.currentMF.Help != nil {
p.parseError(fmt.Sprintf("second HELP line for metric name %q", p.currentMF.GetName()))
return nil
}
// Rest of line is the docstring.
if p.readTokenUntilNewline(true); p.err != nil {
return nil // Unexpected end of input.
}
p.currentMF.Help = proto.String(p.currentToken.String())
return p.startOfLine
}
// readingType represents the state where the last byte read (now in
// p.currentByte) is the first byte of the type hint after 'HELP'.
func (p *TextParser) readingType() stateFn {
if p.currentMF.Type != nil {
p.parseError(fmt.Sprintf("second TYPE line for metric name %q, or TYPE reported after samples", p.currentMF.GetName()))
return nil
}
// Rest of line is the type.
if p.readTokenUntilNewline(false); p.err != nil {
return nil // Unexpected end of input.
}
metricType, ok := dto.MetricType_value[strings.ToUpper(p.currentToken.String())]
if !ok {
p.parseError(fmt.Sprintf("unknown metric type %q", p.currentToken.String()))
return nil
}
p.currentMF.Type = dto.MetricType(metricType).Enum()
return p.startOfLine
}
// parseError sets p.err to a ParseError at the current line with the given
// message.
func (p *TextParser) parseError(msg string) {
p.err = ParseError{
Line: p.lineCount,
Msg: msg,
}
}
// skipBlankTab reads (and discards) bytes from p.buf until it encounters a byte
// that is neither ' ' nor '\t'. That byte is left in p.currentByte.
func (p *TextParser) skipBlankTab() {
for {
if p.currentByte, p.err = p.buf.ReadByte(); p.err != nil || !isBlankOrTab(p.currentByte) {
return
}
}
}
// skipBlankTabIfCurrentBlankTab works exactly as skipBlankTab but doesn't do
// anything if p.currentByte is neither ' ' nor '\t'.
func (p *TextParser) skipBlankTabIfCurrentBlankTab() {
if isBlankOrTab(p.currentByte) {
p.skipBlankTab()
}
}
// readTokenUntilWhitespace copies bytes from p.buf into p.currentToken. The
// first byte considered is the byte already read (now in p.currentByte). The
// first whitespace byte encountered is still copied into p.currentByte, but not
// into p.currentToken.
func (p *TextParser) readTokenUntilWhitespace() {
p.currentToken.Reset()
for p.err == nil && !isBlankOrTab(p.currentByte) && p.currentByte != '\n' {
p.currentToken.WriteByte(p.currentByte)
p.currentByte, p.err = p.buf.ReadByte()
}
}
// readTokenUntilNewline copies bytes from p.buf into p.currentToken. The first
// byte considered is the byte already read (now in p.currentByte). The first
// newline byte encountered is still copied into p.currentByte, but not into
// p.currentToken. If recognizeEscapeSequence is true, two escape sequences are
// recognized: '\\' tranlates into '\', and '\n' into a line-feed character. All
// other escape sequences are invalid and cause an error.
func (p *TextParser) readTokenUntilNewline(recognizeEscapeSequence bool) {
p.currentToken.Reset()
escaped := false
for p.err == nil {
if recognizeEscapeSequence && escaped {
switch p.currentByte {
case '\\':
p.currentToken.WriteByte(p.currentByte)
case 'n':
p.currentToken.WriteByte('\n')
default:
p.parseError(fmt.Sprintf("invalid escape sequence '\\%c'", p.currentByte))
return
}
escaped = false
} else {
switch p.currentByte {
case '\n':
return
case '\\':
escaped = true
default:
p.currentToken.WriteByte(p.currentByte)
}
}
p.currentByte, p.err = p.buf.ReadByte()
}
}
// readTokenAsMetricName copies a metric name from p.buf into p.currentToken.
// The first byte considered is the byte already read (now in p.currentByte).
// The first byte not part of a metric name is still copied into p.currentByte,
// but not into p.currentToken.
func (p *TextParser) readTokenAsMetricName() {
p.currentToken.Reset()
if !isValidMetricNameStart(p.currentByte) {
return
}
for {
p.currentToken.WriteByte(p.currentByte)
p.currentByte, p.err = p.buf.ReadByte()
if p.err != nil || !isValidMetricNameContinuation(p.currentByte) {
return
}
}
}
// readTokenAsLabelName copies a label name from p.buf into p.currentToken.
// The first byte considered is the byte already read (now in p.currentByte).
// The first byte not part of a label name is still copied into p.currentByte,
// but not into p.currentToken.
func (p *TextParser) readTokenAsLabelName() {
p.currentToken.Reset()
if !isValidLabelNameStart(p.currentByte) {
return
}
for {
p.currentToken.WriteByte(p.currentByte)
p.currentByte, p.err = p.buf.ReadByte()
if p.err != nil || !isValidLabelNameContinuation(p.currentByte) {
return
}
}
}
// readTokenAsLabelValue copies a label value from p.buf into p.currentToken.
// In contrast to the other 'readTokenAs...' functions, which start with the
// last read byte in p.currentByte, this method ignores p.currentByte and starts
// with reading a new byte from p.buf. The first byte not part of a label value
// is still copied into p.currentByte, but not into p.currentToken.
func (p *TextParser) readTokenAsLabelValue() {
p.currentToken.Reset()
escaped := false
for {
if p.currentByte, p.err = p.buf.ReadByte(); p.err != nil {
return
}
if escaped {
switch p.currentByte {
case '"', '\\':
p.currentToken.WriteByte(p.currentByte)
case 'n':
p.currentToken.WriteByte('\n')
default:
p.parseError(fmt.Sprintf("invalid escape sequence '\\%c'", p.currentByte))
return
}
escaped = false
continue
}
switch p.currentByte {
case '"':
return
case '\n':
p.parseError(fmt.Sprintf("label value %q contains unescaped new-line", p.currentToken.String()))
return
case '\\':
escaped = true
default:
p.currentToken.WriteByte(p.currentByte)
}
}
}
func (p *TextParser) setOrCreateCurrentMF() {
p.currentIsSummaryCount = false
p.currentIsSummarySum = false
p.currentIsHistogramCount = false
p.currentIsHistogramSum = false
name := p.currentToken.String()
if p.currentMF = p.metricFamiliesByName[name]; p.currentMF != nil {
return
}
// Try out if this is a _sum or _count for a summary/histogram.
summaryName := summaryMetricName(name)
if p.currentMF = p.metricFamiliesByName[summaryName]; p.currentMF != nil {
if p.currentMF.GetType() == dto.MetricType_SUMMARY {
if isCount(name) {
p.currentIsSummaryCount = true
}
if isSum(name) {
p.currentIsSummarySum = true
}
return
}
}
histogramName := histogramMetricName(name)
if p.currentMF = p.metricFamiliesByName[histogramName]; p.currentMF != nil {
if p.currentMF.GetType() == dto.MetricType_HISTOGRAM {
if isCount(name) {
p.currentIsHistogramCount = true
}
if isSum(name) {
p.currentIsHistogramSum = true
}
return
}
}
p.currentMF = &dto.MetricFamily{Name: proto.String(name)}
p.metricFamiliesByName[name] = p.currentMF
}
func isValidLabelNameStart(b byte) bool {
return (b >= 'a' && b <= 'z') || (b >= 'A' && b <= 'Z') || b == '_'
}
func isValidLabelNameContinuation(b byte) bool {
return isValidLabelNameStart(b) || (b >= '0' && b <= '9')
}
func isValidMetricNameStart(b byte) bool {
return isValidLabelNameStart(b) || b == ':'
}
func isValidMetricNameContinuation(b byte) bool {
return isValidLabelNameContinuation(b) || b == ':'
}
func isBlankOrTab(b byte) bool {
return b == ' ' || b == '\t'
}
func isCount(name string) bool {
return len(name) > 6 && name[len(name)-6:] == "_count"
}
func isSum(name string) bool {
return len(name) > 4 && name[len(name)-4:] == "_sum"
}
func isBucket(name string) bool {
return len(name) > 7 && name[len(name)-7:] == "_bucket"
}
func summaryMetricName(name string) string {
switch {
case isCount(name):
return name[:len(name)-6]
case isSum(name):
return name[:len(name)-4]
default:
return name
}
}
func histogramMetricName(name string) string {
switch {
case isCount(name):
return name[:len(name)-6]
case isSum(name):
return name[:len(name)-4]
case isBucket(name):
return name[:len(name)-7]
default:
return name
}
}

105
vendor/github.com/prometheus/common/model/fingerprinting.go generated vendored Normal file
View File

@@ -0,0 +1,105 @@
// Copyright 2013 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package model
import (
"fmt"
"strconv"
)
// Fingerprint provides a hash-capable representation of a Metric.
// For our purposes, FNV-1A 64-bit is used.
type Fingerprint uint64
// FingerprintFromString transforms a string representation into a Fingerprint.
func FingerprintFromString(s string) (Fingerprint, error) {
num, err := strconv.ParseUint(s, 16, 64)
return Fingerprint(num), err
}
// ParseFingerprint parses the input string into a fingerprint.
func ParseFingerprint(s string) (Fingerprint, error) {
num, err := strconv.ParseUint(s, 16, 64)
if err != nil {
return 0, err
}
return Fingerprint(num), nil
}
func (f Fingerprint) String() string {
return fmt.Sprintf("%016x", uint64(f))
}
// Fingerprints represents a collection of Fingerprint subject to a given
// natural sorting scheme. It implements sort.Interface.
type Fingerprints []Fingerprint
// Len implements sort.Interface.
func (f Fingerprints) Len() int {
return len(f)
}
// Less implements sort.Interface.
func (f Fingerprints) Less(i, j int) bool {
return f[i] < f[j]
}
// Swap implements sort.Interface.
func (f Fingerprints) Swap(i, j int) {
f[i], f[j] = f[j], f[i]
}
// FingerprintSet is a set of Fingerprints.
type FingerprintSet map[Fingerprint]struct{}
// Equal returns true if both sets contain the same elements (and not more).
func (s FingerprintSet) Equal(o FingerprintSet) bool {
if len(s) != len(o) {
return false
}
for k := range s {
if _, ok := o[k]; !ok {
return false
}
}
return true
}
// Intersection returns the elements contained in both sets.
func (s FingerprintSet) Intersection(o FingerprintSet) FingerprintSet {
myLength, otherLength := len(s), len(o)
if myLength == 0 || otherLength == 0 {
return FingerprintSet{}
}
subSet := s
superSet := o
if otherLength < myLength {
subSet = o
superSet = s
}
out := FingerprintSet{}
for k := range subSet {
if _, ok := superSet[k]; ok {
out[k] = struct{}{}
}
}
return out
}

188
vendor/github.com/prometheus/common/model/labels.go generated vendored Normal file
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@@ -0,0 +1,188 @@
// Copyright 2013 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package model
import (
"encoding/json"
"fmt"
"regexp"
"sort"
"strings"
)
const (
// AlertNameLabel is the name of the label containing the an alert's name.
AlertNameLabel = "alertname"
// ExportedLabelPrefix is the prefix to prepend to the label names present in
// exported metrics if a label of the same name is added by the server.
ExportedLabelPrefix = "exported_"
// MetricNameLabel is the label name indicating the metric name of a
// timeseries.
MetricNameLabel = "__name__"
// SchemeLabel is the name of the label that holds the scheme on which to
// scrape a target.
SchemeLabel = "__scheme__"
// AddressLabel is the name of the label that holds the address of
// a scrape target.
AddressLabel = "__address__"
// MetricsPathLabel is the name of the label that holds the path on which to
// scrape a target.
MetricsPathLabel = "__metrics_path__"
// ReservedLabelPrefix is a prefix which is not legal in user-supplied
// label names.
ReservedLabelPrefix = "__"
// MetaLabelPrefix is a prefix for labels that provide meta information.
// Labels with this prefix are used for intermediate label processing and
// will not be attached to time series.
MetaLabelPrefix = "__meta_"
// TmpLabelPrefix is a prefix for temporary labels as part of relabelling.
// Labels with this prefix are used for intermediate label processing and
// will not be attached to time series. This is reserved for use in
// Prometheus configuration files by users.
TmpLabelPrefix = "__tmp_"
// ParamLabelPrefix is a prefix for labels that provide URL parameters
// used to scrape a target.
ParamLabelPrefix = "__param_"
// JobLabel is the label name indicating the job from which a timeseries
// was scraped.
JobLabel = "job"
// InstanceLabel is the label name used for the instance label.
InstanceLabel = "instance"
// BucketLabel is used for the label that defines the upper bound of a
// bucket of a histogram ("le" -> "less or equal").
BucketLabel = "le"
// QuantileLabel is used for the label that defines the quantile in a
// summary.
QuantileLabel = "quantile"
)
// LabelNameRE is a regular expression matching valid label names.
var LabelNameRE = regexp.MustCompile("^[a-zA-Z_][a-zA-Z0-9_]*$")
// A LabelName is a key for a LabelSet or Metric. It has a value associated
// therewith.
type LabelName string
// UnmarshalYAML implements the yaml.Unmarshaler interface.
func (ln *LabelName) UnmarshalYAML(unmarshal func(interface{}) error) error {
var s string
if err := unmarshal(&s); err != nil {
return err
}
if !LabelNameRE.MatchString(s) {
return fmt.Errorf("%q is not a valid label name", s)
}
*ln = LabelName(s)
return nil
}
// UnmarshalJSON implements the json.Unmarshaler interface.
func (ln *LabelName) UnmarshalJSON(b []byte) error {
var s string
if err := json.Unmarshal(b, &s); err != nil {
return err
}
if !LabelNameRE.MatchString(s) {
return fmt.Errorf("%q is not a valid label name", s)
}
*ln = LabelName(s)
return nil
}
// LabelNames is a sortable LabelName slice. In implements sort.Interface.
type LabelNames []LabelName
func (l LabelNames) Len() int {
return len(l)
}
func (l LabelNames) Less(i, j int) bool {
return l[i] < l[j]
}
func (l LabelNames) Swap(i, j int) {
l[i], l[j] = l[j], l[i]
}
func (l LabelNames) String() string {
labelStrings := make([]string, 0, len(l))
for _, label := range l {
labelStrings = append(labelStrings, string(label))
}
return strings.Join(labelStrings, ", ")
}
// A LabelValue is an associated value for a LabelName.
type LabelValue string
// LabelValues is a sortable LabelValue slice. It implements sort.Interface.
type LabelValues []LabelValue
func (l LabelValues) Len() int {
return len(l)
}
func (l LabelValues) Less(i, j int) bool {
return sort.StringsAreSorted([]string{string(l[i]), string(l[j])})
}
func (l LabelValues) Swap(i, j int) {
l[i], l[j] = l[j], l[i]
}
// LabelPair pairs a name with a value.
type LabelPair struct {
Name LabelName
Value LabelValue
}
// LabelPairs is a sortable slice of LabelPair pointers. It implements
// sort.Interface.
type LabelPairs []*LabelPair
func (l LabelPairs) Len() int {
return len(l)
}
func (l LabelPairs) Less(i, j int) bool {
switch {
case l[i].Name > l[j].Name:
return false
case l[i].Name < l[j].Name:
return true
case l[i].Value > l[j].Value:
return false
case l[i].Value < l[j].Value:
return true
default:
return false
}
}
func (l LabelPairs) Swap(i, j int) {
l[i], l[j] = l[j], l[i]
}

153
vendor/github.com/prometheus/common/model/labelset.go generated vendored Normal file
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// Copyright 2013 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package model
import (
"encoding/json"
"fmt"
"sort"
"strings"
)
// A LabelSet is a collection of LabelName and LabelValue pairs. The LabelSet
// may be fully-qualified down to the point where it may resolve to a single
// Metric in the data store or not. All operations that occur within the realm
// of a LabelSet can emit a vector of Metric entities to which the LabelSet may
// match.
type LabelSet map[LabelName]LabelValue
func (ls LabelSet) Equal(o LabelSet) bool {
if len(ls) != len(o) {
return false
}
for ln, lv := range ls {
olv, ok := o[ln]
if !ok {
return false
}
if olv != lv {
return false
}
}
return true
}
// Before compares the metrics, using the following criteria:
//
// If m has fewer labels than o, it is before o. If it has more, it is not.
//
// If the number of labels is the same, the superset of all label names is
// sorted alphanumerically. The first differing label pair found in that order
// determines the outcome: If the label does not exist at all in m, then m is
// before o, and vice versa. Otherwise the label value is compared
// alphanumerically.
//
// If m and o are equal, the method returns false.
func (ls LabelSet) Before(o LabelSet) bool {
if len(ls) < len(o) {
return true
}
if len(ls) > len(o) {
return false
}
lns := make(LabelNames, 0, len(ls)+len(o))
for ln := range ls {
lns = append(lns, ln)
}
for ln := range o {
lns = append(lns, ln)
}
// It's probably not worth it to de-dup lns.
sort.Sort(lns)
for _, ln := range lns {
mlv, ok := ls[ln]
if !ok {
return true
}
olv, ok := o[ln]
if !ok {
return false
}
if mlv < olv {
return true
}
if mlv > olv {
return false
}
}
return false
}
func (ls LabelSet) Clone() LabelSet {
lsn := make(LabelSet, len(ls))
for ln, lv := range ls {
lsn[ln] = lv
}
return lsn
}
// Merge is a helper function to non-destructively merge two label sets.
func (l LabelSet) Merge(other LabelSet) LabelSet {
result := make(LabelSet, len(l))
for k, v := range l {
result[k] = v
}
for k, v := range other {
result[k] = v
}
return result
}
func (l LabelSet) String() string {
lstrs := make([]string, 0, len(l))
for l, v := range l {
lstrs = append(lstrs, fmt.Sprintf("%s=%q", l, v))
}
sort.Strings(lstrs)
return fmt.Sprintf("{%s}", strings.Join(lstrs, ", "))
}
// Fingerprint returns the LabelSet's fingerprint.
func (ls LabelSet) Fingerprint() Fingerprint {
return labelSetToFingerprint(ls)
}
// FastFingerprint returns the LabelSet's Fingerprint calculated by a faster hashing
// algorithm, which is, however, more susceptible to hash collisions.
func (ls LabelSet) FastFingerprint() Fingerprint {
return labelSetToFastFingerprint(ls)
}
// UnmarshalJSON implements the json.Unmarshaler interface.
func (l *LabelSet) UnmarshalJSON(b []byte) error {
var m map[LabelName]LabelValue
if err := json.Unmarshal(b, &m); err != nil {
return err
}
// encoding/json only unmarshals maps of the form map[string]T. It treats
// LabelName as a string and does not call its UnmarshalJSON method.
// Thus, we have to replicate the behavior here.
for ln := range m {
if !LabelNameRE.MatchString(string(ln)) {
return fmt.Errorf("%q is not a valid label name", ln)
}
}
*l = LabelSet(m)
return nil
}

81
vendor/github.com/prometheus/common/model/metric.go generated vendored Normal file
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// Copyright 2013 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package model
import (
"fmt"
"sort"
"strings"
)
var separator = []byte{0}
// A Metric is similar to a LabelSet, but the key difference is that a Metric is
// a singleton and refers to one and only one stream of samples.
type Metric LabelSet
// Equal compares the metrics.
func (m Metric) Equal(o Metric) bool {
return LabelSet(m).Equal(LabelSet(o))
}
// Before compares the metrics' underlying label sets.
func (m Metric) Before(o Metric) bool {
return LabelSet(m).Before(LabelSet(o))
}
// Clone returns a copy of the Metric.
func (m Metric) Clone() Metric {
clone := Metric{}
for k, v := range m {
clone[k] = v
}
return clone
}
func (m Metric) String() string {
metricName, hasName := m[MetricNameLabel]
numLabels := len(m) - 1
if !hasName {
numLabels = len(m)
}
labelStrings := make([]string, 0, numLabels)
for label, value := range m {
if label != MetricNameLabel {
labelStrings = append(labelStrings, fmt.Sprintf("%s=%q", label, value))
}
}
switch numLabels {
case 0:
if hasName {
return string(metricName)
}
return "{}"
default:
sort.Strings(labelStrings)
return fmt.Sprintf("%s{%s}", metricName, strings.Join(labelStrings, ", "))
}
}
// Fingerprint returns a Metric's Fingerprint.
func (m Metric) Fingerprint() Fingerprint {
return LabelSet(m).Fingerprint()
}
// FastFingerprint returns a Metric's Fingerprint calculated by a faster hashing
// algorithm, which is, however, more susceptible to hash collisions.
func (m Metric) FastFingerprint() Fingerprint {
return LabelSet(m).FastFingerprint()
}

16
vendor/github.com/prometheus/common/model/model.go generated vendored Normal file
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// Copyright 2013 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Package model contains common data structures that are shared across
// Prometheus componenets and libraries.
package model

190
vendor/github.com/prometheus/common/model/signature.go generated vendored Normal file
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package model
import (
"bytes"
"hash"
"hash/fnv"
"sort"
"sync"
)
// SeparatorByte is a byte that cannot occur in valid UTF-8 sequences and is
// used to separate label names, label values, and other strings from each other
// when calculating their combined hash value (aka signature aka fingerprint).
const SeparatorByte byte = 255
var (
// cache the signature of an empty label set.
emptyLabelSignature = fnv.New64a().Sum64()
hashAndBufPool sync.Pool
)
type hashAndBuf struct {
h hash.Hash64
b bytes.Buffer
}
func getHashAndBuf() *hashAndBuf {
hb := hashAndBufPool.Get()
if hb == nil {
return &hashAndBuf{h: fnv.New64a()}
}
return hb.(*hashAndBuf)
}
func putHashAndBuf(hb *hashAndBuf) {
hb.h.Reset()
hb.b.Reset()
hashAndBufPool.Put(hb)
}
// LabelsToSignature returns a quasi-unique signature (i.e., fingerprint) for a
// given label set. (Collisions are possible but unlikely if the number of label
// sets the function is applied to is small.)
func LabelsToSignature(labels map[string]string) uint64 {
if len(labels) == 0 {
return emptyLabelSignature
}
labelNames := make([]string, 0, len(labels))
for labelName := range labels {
labelNames = append(labelNames, labelName)
}
sort.Strings(labelNames)
hb := getHashAndBuf()
defer putHashAndBuf(hb)
for _, labelName := range labelNames {
hb.b.WriteString(labelName)
hb.b.WriteByte(SeparatorByte)
hb.b.WriteString(labels[labelName])
hb.b.WriteByte(SeparatorByte)
hb.h.Write(hb.b.Bytes())
hb.b.Reset()
}
return hb.h.Sum64()
}
// labelSetToFingerprint works exactly as LabelsToSignature but takes a LabelSet as
// parameter (rather than a label map) and returns a Fingerprint.
func labelSetToFingerprint(ls LabelSet) Fingerprint {
if len(ls) == 0 {
return Fingerprint(emptyLabelSignature)
}
labelNames := make(LabelNames, 0, len(ls))
for labelName := range ls {
labelNames = append(labelNames, labelName)
}
sort.Sort(labelNames)
hb := getHashAndBuf()
defer putHashAndBuf(hb)
for _, labelName := range labelNames {
hb.b.WriteString(string(labelName))
hb.b.WriteByte(SeparatorByte)
hb.b.WriteString(string(ls[labelName]))
hb.b.WriteByte(SeparatorByte)
hb.h.Write(hb.b.Bytes())
hb.b.Reset()
}
return Fingerprint(hb.h.Sum64())
}
// labelSetToFastFingerprint works similar to labelSetToFingerprint but uses a
// faster and less allocation-heavy hash function, which is more susceptible to
// create hash collisions. Therefore, collision detection should be applied.
func labelSetToFastFingerprint(ls LabelSet) Fingerprint {
if len(ls) == 0 {
return Fingerprint(emptyLabelSignature)
}
var result uint64
hb := getHashAndBuf()
defer putHashAndBuf(hb)
for labelName, labelValue := range ls {
hb.b.WriteString(string(labelName))
hb.b.WriteByte(SeparatorByte)
hb.b.WriteString(string(labelValue))
hb.h.Write(hb.b.Bytes())
result ^= hb.h.Sum64()
hb.h.Reset()
hb.b.Reset()
}
return Fingerprint(result)
}
// SignatureForLabels works like LabelsToSignature but takes a Metric as
// parameter (rather than a label map) and only includes the labels with the
// specified LabelNames into the signature calculation. The labels passed in
// will be sorted by this function.
func SignatureForLabels(m Metric, labels ...LabelName) uint64 {
if len(m) == 0 || len(labels) == 0 {
return emptyLabelSignature
}
sort.Sort(LabelNames(labels))
hb := getHashAndBuf()
defer putHashAndBuf(hb)
for _, label := range labels {
hb.b.WriteString(string(label))
hb.b.WriteByte(SeparatorByte)
hb.b.WriteString(string(m[label]))
hb.b.WriteByte(SeparatorByte)
hb.h.Write(hb.b.Bytes())
hb.b.Reset()
}
return hb.h.Sum64()
}
// SignatureWithoutLabels works like LabelsToSignature but takes a Metric as
// parameter (rather than a label map) and excludes the labels with any of the
// specified LabelNames from the signature calculation.
func SignatureWithoutLabels(m Metric, labels map[LabelName]struct{}) uint64 {
if len(m) == 0 {
return emptyLabelSignature
}
labelNames := make(LabelNames, 0, len(m))
for labelName := range m {
if _, exclude := labels[labelName]; !exclude {
labelNames = append(labelNames, labelName)
}
}
if len(labelNames) == 0 {
return emptyLabelSignature
}
sort.Sort(labelNames)
hb := getHashAndBuf()
defer putHashAndBuf(hb)
for _, labelName := range labelNames {
hb.b.WriteString(string(labelName))
hb.b.WriteByte(SeparatorByte)
hb.b.WriteString(string(m[labelName]))
hb.b.WriteByte(SeparatorByte)
hb.h.Write(hb.b.Bytes())
hb.b.Reset()
}
return hb.h.Sum64()
}

230
vendor/github.com/prometheus/common/model/time.go generated vendored Normal file
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// Copyright 2013 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package model
import (
"fmt"
"math"
"regexp"
"strconv"
"strings"
"time"
)
const (
// MinimumTick is the minimum supported time resolution. This has to be
// at least time.Second in order for the code below to work.
minimumTick = time.Millisecond
// second is the Time duration equivalent to one second.
second = int64(time.Second / minimumTick)
// The number of nanoseconds per minimum tick.
nanosPerTick = int64(minimumTick / time.Nanosecond)
// Earliest is the earliest Time representable. Handy for
// initializing a high watermark.
Earliest = Time(math.MinInt64)
// Latest is the latest Time representable. Handy for initializing
// a low watermark.
Latest = Time(math.MaxInt64)
)
// Time is the number of milliseconds since the epoch
// (1970-01-01 00:00 UTC) excluding leap seconds.
type Time int64
// Interval describes and interval between two timestamps.
type Interval struct {
Start, End Time
}
// Now returns the current time as a Time.
func Now() Time {
return TimeFromUnixNano(time.Now().UnixNano())
}
// TimeFromUnix returns the Time equivalent to the Unix Time t
// provided in seconds.
func TimeFromUnix(t int64) Time {
return Time(t * second)
}
// TimeFromUnixNano returns the Time equivalent to the Unix Time
// t provided in nanoseconds.
func TimeFromUnixNano(t int64) Time {
return Time(t / nanosPerTick)
}
// Equal reports whether two Times represent the same instant.
func (t Time) Equal(o Time) bool {
return t == o
}
// Before reports whether the Time t is before o.
func (t Time) Before(o Time) bool {
return t < o
}
// After reports whether the Time t is after o.
func (t Time) After(o Time) bool {
return t > o
}
// Add returns the Time t + d.
func (t Time) Add(d time.Duration) Time {
return t + Time(d/minimumTick)
}
// Sub returns the Duration t - o.
func (t Time) Sub(o Time) time.Duration {
return time.Duration(t-o) * minimumTick
}
// Time returns the time.Time representation of t.
func (t Time) Time() time.Time {
return time.Unix(int64(t)/second, (int64(t)%second)*nanosPerTick)
}
// Unix returns t as a Unix time, the number of seconds elapsed
// since January 1, 1970 UTC.
func (t Time) Unix() int64 {
return int64(t) / second
}
// UnixNano returns t as a Unix time, the number of nanoseconds elapsed
// since January 1, 1970 UTC.
func (t Time) UnixNano() int64 {
return int64(t) * nanosPerTick
}
// The number of digits after the dot.
var dotPrecision = int(math.Log10(float64(second)))
// String returns a string representation of the Time.
func (t Time) String() string {
return strconv.FormatFloat(float64(t)/float64(second), 'f', -1, 64)
}
// MarshalJSON implements the json.Marshaler interface.
func (t Time) MarshalJSON() ([]byte, error) {
return []byte(t.String()), nil
}
// UnmarshalJSON implements the json.Unmarshaler interface.
func (t *Time) UnmarshalJSON(b []byte) error {
p := strings.Split(string(b), ".")
switch len(p) {
case 1:
v, err := strconv.ParseInt(string(p[0]), 10, 64)
if err != nil {
return err
}
*t = Time(v * second)
case 2:
v, err := strconv.ParseInt(string(p[0]), 10, 64)
if err != nil {
return err
}
v *= second
prec := dotPrecision - len(p[1])
if prec < 0 {
p[1] = p[1][:dotPrecision]
} else if prec > 0 {
p[1] = p[1] + strings.Repeat("0", prec)
}
va, err := strconv.ParseInt(p[1], 10, 32)
if err != nil {
return err
}
*t = Time(v + va)
default:
return fmt.Errorf("invalid time %q", string(b))
}
return nil
}
// Duration wraps time.Duration. It is used to parse the custom duration format
// from YAML.
// This type should not propagate beyond the scope of input/output processing.
type Duration time.Duration
// StringToDuration parses a string into a time.Duration, assuming that a year
// a day always has 24h.
func ParseDuration(durationStr string) (Duration, error) {
matches := durationRE.FindStringSubmatch(durationStr)
if len(matches) != 3 {
return 0, fmt.Errorf("not a valid duration string: %q", durationStr)
}
durSeconds, _ := strconv.Atoi(matches[1])
dur := time.Duration(durSeconds) * time.Second
unit := matches[2]
switch unit {
case "d":
dur *= 60 * 60 * 24
case "h":
dur *= 60 * 60
case "m":
dur *= 60
case "s":
dur *= 1
default:
return 0, fmt.Errorf("invalid time unit in duration string: %q", unit)
}
return Duration(dur), nil
}
var durationRE = regexp.MustCompile("^([0-9]+)([ywdhms]+)$")
func (d Duration) String() string {
seconds := int64(time.Duration(d) / time.Second)
factors := map[string]int64{
"d": 60 * 60 * 24,
"h": 60 * 60,
"m": 60,
"s": 1,
}
unit := "s"
switch int64(0) {
case seconds % factors["d"]:
unit = "d"
case seconds % factors["h"]:
unit = "h"
case seconds % factors["m"]:
unit = "m"
}
return fmt.Sprintf("%v%v", seconds/factors[unit], unit)
}
// MarshalYAML implements the yaml.Marshaler interface.
func (d Duration) MarshalYAML() (interface{}, error) {
return d.String(), nil
}
// UnmarshalYAML implements the yaml.Unmarshaler interface.
func (d *Duration) UnmarshalYAML(unmarshal func(interface{}) error) error {
var s string
if err := unmarshal(&s); err != nil {
return err
}
dur, err := ParseDuration(s)
if err != nil {
return err
}
*d = dur
return nil
}

395
vendor/github.com/prometheus/common/model/value.go generated vendored Normal file
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// Copyright 2013 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package model
import (
"encoding/json"
"fmt"
"sort"
"strconv"
"strings"
)
// A SampleValue is a representation of a value for a given sample at a given
// time.
type SampleValue float64
// MarshalJSON implements json.Marshaler.
func (v SampleValue) MarshalJSON() ([]byte, error) {
return json.Marshal(v.String())
}
// UnmarshalJSON implements json.Unmarshaler.
func (v *SampleValue) UnmarshalJSON(b []byte) error {
if len(b) < 2 || b[0] != '"' || b[len(b)-1] != '"' {
return fmt.Errorf("sample value must be a quoted string")
}
f, err := strconv.ParseFloat(string(b[1:len(b)-1]), 64)
if err != nil {
return err
}
*v = SampleValue(f)
return nil
}
func (v SampleValue) Equal(o SampleValue) bool {
return v == o
}
func (v SampleValue) String() string {
return strconv.FormatFloat(float64(v), 'f', -1, 64)
}
// SamplePair pairs a SampleValue with a Timestamp.
type SamplePair struct {
Timestamp Time
Value SampleValue
}
// MarshalJSON implements json.Marshaler.
func (s SamplePair) MarshalJSON() ([]byte, error) {
t, err := json.Marshal(s.Timestamp)
if err != nil {
return nil, err
}
v, err := json.Marshal(s.Value)
if err != nil {
return nil, err
}
return []byte(fmt.Sprintf("[%s,%s]", t, v)), nil
}
// UnmarshalJSON implements json.Unmarshaler.
func (s *SamplePair) UnmarshalJSON(b []byte) error {
v := [...]json.Unmarshaler{&s.Timestamp, &s.Value}
return json.Unmarshal(b, &v)
}
// Equal returns true if this SamplePair and o have equal Values and equal
// Timestamps.
func (s *SamplePair) Equal(o *SamplePair) bool {
return s == o || (s.Value == o.Value && s.Timestamp.Equal(o.Timestamp))
}
func (s SamplePair) String() string {
return fmt.Sprintf("%s @[%s]", s.Value, s.Timestamp)
}
// Sample is a sample pair associated with a metric.
type Sample struct {
Metric Metric `json:"metric"`
Value SampleValue `json:"value"`
Timestamp Time `json:"timestamp"`
}
// Equal compares first the metrics, then the timestamp, then the value.
func (s *Sample) Equal(o *Sample) bool {
if s == o {
return true
}
if !s.Metric.Equal(o.Metric) {
return false
}
if !s.Timestamp.Equal(o.Timestamp) {
return false
}
if s.Value != o.Value {
return false
}
return true
}
func (s Sample) String() string {
return fmt.Sprintf("%s => %s", s.Metric, SamplePair{
Timestamp: s.Timestamp,
Value: s.Value,
})
}
// MarshalJSON implements json.Marshaler.
func (s Sample) MarshalJSON() ([]byte, error) {
v := struct {
Metric Metric `json:"metric"`
Value SamplePair `json:"value"`
}{
Metric: s.Metric,
Value: SamplePair{
Timestamp: s.Timestamp,
Value: s.Value,
},
}
return json.Marshal(&v)
}
// UnmarshalJSON implements json.Unmarshaler.
func (s *Sample) UnmarshalJSON(b []byte) error {
v := struct {
Metric Metric `json:"metric"`
Value SamplePair `json:"value"`
}{
Metric: s.Metric,
Value: SamplePair{
Timestamp: s.Timestamp,
Value: s.Value,
},
}
if err := json.Unmarshal(b, &v); err != nil {
return err
}
s.Metric = v.Metric
s.Timestamp = v.Value.Timestamp
s.Value = v.Value.Value
return nil
}
// Samples is a sortable Sample slice. It implements sort.Interface.
type Samples []*Sample
func (s Samples) Len() int {
return len(s)
}
// Less compares first the metrics, then the timestamp.
func (s Samples) Less(i, j int) bool {
switch {
case s[i].Metric.Before(s[j].Metric):
return true
case s[j].Metric.Before(s[i].Metric):
return false
case s[i].Timestamp.Before(s[j].Timestamp):
return true
default:
return false
}
}
func (s Samples) Swap(i, j int) {
s[i], s[j] = s[j], s[i]
}
// Equal compares two sets of samples and returns true if they are equal.
func (s Samples) Equal(o Samples) bool {
if len(s) != len(o) {
return false
}
for i, sample := range s {
if !sample.Equal(o[i]) {
return false
}
}
return true
}
// SampleStream is a stream of Values belonging to an attached COWMetric.
type SampleStream struct {
Metric Metric `json:"metric"`
Values []SamplePair `json:"values"`
}
func (ss SampleStream) String() string {
vals := make([]string, len(ss.Values))
for i, v := range ss.Values {
vals[i] = v.String()
}
return fmt.Sprintf("%s =>\n%s", ss.Metric, strings.Join(vals, "\n"))
}
// Value is a generic interface for values resulting from a query evaluation.
type Value interface {
Type() ValueType
String() string
}
func (Matrix) Type() ValueType { return ValMatrix }
func (Vector) Type() ValueType { return ValVector }
func (*Scalar) Type() ValueType { return ValScalar }
func (*String) Type() ValueType { return ValString }
type ValueType int
const (
ValNone ValueType = iota
ValScalar
ValVector
ValMatrix
ValString
)
// MarshalJSON implements json.Marshaler.
func (et ValueType) MarshalJSON() ([]byte, error) {
return json.Marshal(et.String())
}
func (et *ValueType) UnmarshalJSON(b []byte) error {
var s string
if err := json.Unmarshal(b, &s); err != nil {
return err
}
switch s {
case "<ValNone>":
*et = ValNone
case "scalar":
*et = ValScalar
case "vector":
*et = ValVector
case "matrix":
*et = ValMatrix
case "string":
*et = ValString
default:
return fmt.Errorf("unknown value type %q", s)
}
return nil
}
func (e ValueType) String() string {
switch e {
case ValNone:
return "<ValNone>"
case ValScalar:
return "scalar"
case ValVector:
return "vector"
case ValMatrix:
return "matrix"
case ValString:
return "string"
}
panic("ValueType.String: unhandled value type")
}
// Scalar is a scalar value evaluated at the set timestamp.
type Scalar struct {
Value SampleValue `json:"value"`
Timestamp Time `json:"timestamp"`
}
func (s Scalar) String() string {
return fmt.Sprintf("scalar: %v @[%v]", s.Value, s.Timestamp)
}
// MarshalJSON implements json.Marshaler.
func (s Scalar) MarshalJSON() ([]byte, error) {
v := strconv.FormatFloat(float64(s.Value), 'f', -1, 64)
return json.Marshal([...]interface{}{s.Timestamp, string(v)})
}
// UnmarshalJSON implements json.Unmarshaler.
func (s *Scalar) UnmarshalJSON(b []byte) error {
var f string
v := [...]interface{}{&s.Timestamp, &f}
if err := json.Unmarshal(b, &v); err != nil {
return err
}
value, err := strconv.ParseFloat(f, 64)
if err != nil {
return fmt.Errorf("error parsing sample value: %s", err)
}
s.Value = SampleValue(value)
return nil
}
// String is a string value evaluated at the set timestamp.
type String struct {
Value string `json:"value"`
Timestamp Time `json:"timestamp"`
}
func (s *String) String() string {
return s.Value
}
// MarshalJSON implements json.Marshaler.
func (s String) MarshalJSON() ([]byte, error) {
return json.Marshal([]interface{}{s.Timestamp, s.Value})
}
// UnmarshalJSON implements json.Unmarshaler.
func (s *String) UnmarshalJSON(b []byte) error {
v := [...]interface{}{&s.Timestamp, &s.Value}
return json.Unmarshal(b, &v)
}
// Vector is basically only an alias for Samples, but the
// contract is that in a Vector, all Samples have the same timestamp.
type Vector []*Sample
func (vec Vector) String() string {
entries := make([]string, len(vec))
for i, s := range vec {
entries[i] = s.String()
}
return strings.Join(entries, "\n")
}
func (vec Vector) Len() int { return len(vec) }
func (vec Vector) Swap(i, j int) { vec[i], vec[j] = vec[j], vec[i] }
// Less compares first the metrics, then the timestamp.
func (vec Vector) Less(i, j int) bool {
switch {
case vec[i].Metric.Before(vec[j].Metric):
return true
case vec[j].Metric.Before(vec[i].Metric):
return false
case vec[i].Timestamp.Before(vec[j].Timestamp):
return true
default:
return false
}
}
// Equal compares two sets of samples and returns true if they are equal.
func (vec Vector) Equal(o Vector) bool {
if len(vec) != len(o) {
return false
}
for i, sample := range vec {
if !sample.Equal(o[i]) {
return false
}
}
return true
}
// Matrix is a list of time series.
type Matrix []*SampleStream
func (m Matrix) Len() int { return len(m) }
func (m Matrix) Less(i, j int) bool { return m[i].Metric.Before(m[j].Metric) }
func (m Matrix) Swap(i, j int) { m[i], m[j] = m[j], m[i] }
func (mat Matrix) String() string {
matCp := make(Matrix, len(mat))
copy(matCp, mat)
sort.Sort(matCp)
strs := make([]string, len(matCp))
for i, ss := range matCp {
strs[i] = ss.String()
}
return strings.Join(strs, "\n")
}

5
vendor/github.com/prometheus/procfs/.travis.yml generated vendored Normal file
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language: go
go:
- 1.3
- 1.4
- tip

11
vendor/github.com/prometheus/procfs/AUTHORS.md generated vendored Normal file
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The Prometheus project was started by Matt T. Proud (emeritus) and
Julius Volz in 2012.
Maintainers of this repository:
* Tobias Schmidt <ts@soundcloud.com>
The following individuals have contributed code to this repository
(listed in alphabetical order):
* Tobias Schmidt <ts@soundcloud.com>

18
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# Contributing
Prometheus uses GitHub to manage reviews of pull requests.
* If you have a trivial fix or improvement, go ahead and create a pull
request, addressing (with `@...`) one or more of the maintainers
(see [AUTHORS.md](AUTHORS.md)) in the description of the pull request.
* If you plan to do something more involved, first discuss your ideas
on our [mailing list](https://groups.google.com/forum/?fromgroups#!forum/prometheus-developers).
This will avoid unnecessary work and surely give you and us a good deal
of inspiration.
* Relevant coding style guidelines are the [Go Code Review
Comments](https://code.google.com/p/go-wiki/wiki/CodeReviewComments)
and the _Formatting and style_ section of Peter Bourgon's [Go: Best
Practices for Production
Environments](http://peter.bourgon.org/go-in-production/#formatting-and-style).

201
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Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
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"You" (or "Your") shall mean an individual or Legal Entity
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"Work" shall mean the work of authorship, whether in Source or
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"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
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represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
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"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
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designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
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2. Grant of Copyright License. Subject to the terms and conditions of
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or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
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(d) If the Work includes a "NOTICE" text file as part of its
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within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
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or as an addendum to the NOTICE text from the Work, provided
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You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
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5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
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this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
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6. Trademarks. This License does not grant permission to use the trade
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7. Disclaimer of Warranty. Unless required by applicable law or
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8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
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work stoppage, computer failure or malfunction, or any and all
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has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
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on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
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you may not use this file except in compliance with the License.
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Unless required by applicable law or agreed to in writing, software
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

7
vendor/github.com/prometheus/procfs/NOTICE generated vendored Normal file
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procfs provides functions to retrieve system, kernel and process
metrics from the pseudo-filesystem proc.
Copyright 2014-2015 The Prometheus Authors
This product includes software developed at
SoundCloud Ltd. (http://soundcloud.com/).

7
vendor/github.com/prometheus/procfs/README.md generated vendored Normal file
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# procfs
This procfs package provides functions to retrieve system, kernel and process
metrics from the pseudo-filesystem proc.
[![GoDoc](https://godoc.org/github.com/prometheus/procfs?status.png)](https://godoc.org/github.com/prometheus/procfs)
[![Build Status](https://travis-ci.org/prometheus/procfs.svg?branch=master)](https://travis-ci.org/prometheus/procfs)

45
vendor/github.com/prometheus/procfs/doc.go generated vendored Normal file
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// Copyright 2014 Prometheus Team
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Package procfs provides functions to retrieve system, kernel and process
// metrics from the pseudo-filesystem proc.
//
// Example:
//
// package main
//
// import (
// "fmt"
// "log"
//
// "github.com/prometheus/procfs"
// )
//
// func main() {
// p, err := procfs.Self()
// if err != nil {
// log.Fatalf("could not get process: %s", err)
// }
//
// stat, err := p.NewStat()
// if err != nil {
// log.Fatalf("could not get process stat: %s", err)
// }
//
// fmt.Printf("command: %s\n", stat.Comm)
// fmt.Printf("cpu time: %fs\n", stat.CPUTime())
// fmt.Printf("vsize: %dB\n", stat.VirtualMemory())
// fmt.Printf("rss: %dB\n", stat.ResidentMemory())
// }
//
package procfs

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vendor/github.com/prometheus/procfs/fixtures/26231/fd/0 generated vendored Normal file
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vendor/github.com/prometheus/procfs/fixtures/26231/fd/1 generated vendored Normal file
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vendor/github.com/prometheus/procfs/fixtures/26231/fd/2 generated vendored Normal file
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vendor/github.com/prometheus/procfs/fixtures/26231/fd/3 generated vendored Normal file
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17
vendor/github.com/prometheus/procfs/fixtures/26231/limits generated vendored Normal file
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Limit Soft Limit Hard Limit Units
Max cpu time unlimited unlimited seconds
Max file size unlimited unlimited bytes
Max data size unlimited unlimited bytes
Max stack size 8388608 unlimited bytes
Max core file size 0 unlimited bytes
Max resident set unlimited unlimited bytes
Max processes 62898 62898 processes
Max open files 2048 4096 files
Max locked memory 65536 65536 bytes
Max address space unlimited unlimited bytes
Max file locks unlimited unlimited locks
Max pending signals 62898 62898 signals
Max msgqueue size 819200 819200 bytes
Max nice priority 0 0
Max realtime priority 0 0
Max realtime timeout unlimited unlimited us

1
vendor/github.com/prometheus/procfs/fixtures/26231/stat generated vendored Normal file
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@@ -0,0 +1 @@
26231 (vim) R 5392 7446 5392 34835 7446 4218880 32533 309516 26 82 1677 44 158 99 20 0 1 0 82375 56274944 1981 18446744073709551615 4194304 6294284 140736914091744 140736914087944 139965136429984 0 0 12288 1870679807 0 0 0 17 0 0 0 31 0 0 8391624 8481048 16420864 140736914093252 140736914093279 140736914093279 140736914096107 0

2
vendor/github.com/prometheus/procfs/fixtures/584/stat generated vendored Normal file
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@@ -0,0 +1,2 @@
1020 ((a b ) ( c d) ) R 28378 1020 28378 34842 1020 4218880 286 0 0 0 0 0 0 0 20 0 1 0 10839175 10395648 155 18446744073709551615 4194304 4238788 140736466511168 140736466511168 140609271124624 0 0 0 0 0 0 0 17 5 0 0 0 0 0 6336016 6337300 25579520 140736466515030 140736466515061 140736466515061 140736466518002 0
#!/bin/cat /proc/self/stat

16
vendor/github.com/prometheus/procfs/fixtures/stat generated vendored Normal file
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@@ -0,0 +1,16 @@
cpu 301854 612 111922 8979004 3552 2 3944 0 0 0
cpu0 44490 19 21045 1087069 220 1 3410 0 0 0
cpu1 47869 23 16474 1110787 591 0 46 0 0 0
cpu2 46504 36 15916 1112321 441 0 326 0 0 0
cpu3 47054 102 15683 1113230 533 0 60 0 0 0
cpu4 28413 25 10776 1140321 217 0 8 0 0 0
cpu5 29271 101 11586 1136270 672 0 30 0 0 0
cpu6 29152 36 10276 1139721 319 0 29 0 0 0
cpu7 29098 268 10164 1139282 555 0 31 0 0 0
intr 8885917 17 0 0 0 0 0 0 0 1 79281 0 0 0 0 0 0 0 231237 0 0 0 0 250586 103 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 223424 190745 13 906 1283803 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
ctxt 38014093
btime 1418183276
processes 26442
procs_running 2
procs_blocked 0
softirq 5057579 250191 1481983 1647 211099 186066 0 1783454 622196 12499 508444

36
vendor/github.com/prometheus/procfs/fs.go generated vendored Normal file
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@@ -0,0 +1,36 @@
package procfs
import (
"fmt"
"os"
"path"
)
// FS represents the pseudo-filesystem proc, which provides an interface to
// kernel data structures.
type FS string
// DefaultMountPoint is the common mount point of the proc filesystem.
const DefaultMountPoint = "/proc"
// NewFS returns a new FS mounted under the given mountPoint. It will error
// if the mount point can't be read.
func NewFS(mountPoint string) (FS, error) {
info, err := os.Stat(mountPoint)
if err != nil {
return "", fmt.Errorf("could not read %s: %s", mountPoint, err)
}
if !info.IsDir() {
return "", fmt.Errorf("mount point %s is not a directory", mountPoint)
}
return FS(mountPoint), nil
}
func (fs FS) stat(p string) (os.FileInfo, error) {
return os.Stat(path.Join(string(fs), p))
}
func (fs FS) open(p string) (*os.File, error) {
return os.Open(path.Join(string(fs), p))
}

149
vendor/github.com/prometheus/procfs/proc.go generated vendored Normal file
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@@ -0,0 +1,149 @@
package procfs
import (
"fmt"
"io/ioutil"
"os"
"path"
"strconv"
"strings"
)
// Proc provides information about a running process.
type Proc struct {
// The process ID.
PID int
fs FS
}
// Procs represents a list of Proc structs.
type Procs []Proc
func (p Procs) Len() int { return len(p) }
func (p Procs) Swap(i, j int) { p[i], p[j] = p[j], p[i] }
func (p Procs) Less(i, j int) bool { return p[i].PID < p[j].PID }
// Self returns a process for the current process.
func Self() (Proc, error) {
return NewProc(os.Getpid())
}
// NewProc returns a process for the given pid under /proc.
func NewProc(pid int) (Proc, error) {
fs, err := NewFS(DefaultMountPoint)
if err != nil {
return Proc{}, err
}
return fs.NewProc(pid)
}
// AllProcs returns a list of all currently avaible processes under /proc.
func AllProcs() (Procs, error) {
fs, err := NewFS(DefaultMountPoint)
if err != nil {
return Procs{}, err
}
return fs.AllProcs()
}
// NewProc returns a process for the given pid.
func (fs FS) NewProc(pid int) (Proc, error) {
if _, err := fs.stat(strconv.Itoa(pid)); err != nil {
return Proc{}, err
}
return Proc{PID: pid, fs: fs}, nil
}
// AllProcs returns a list of all currently avaible processes.
func (fs FS) AllProcs() (Procs, error) {
d, err := fs.open("")
if err != nil {
return Procs{}, err
}
defer d.Close()
names, err := d.Readdirnames(-1)
if err != nil {
return Procs{}, fmt.Errorf("could not read %s: %s", d.Name(), err)
}
p := Procs{}
for _, n := range names {
pid, err := strconv.ParseInt(n, 10, 64)
if err != nil {
continue
}
p = append(p, Proc{PID: int(pid), fs: fs})
}
return p, nil
}
// CmdLine returns the command line of a process.
func (p Proc) CmdLine() ([]string, error) {
f, err := p.open("cmdline")
if err != nil {
return nil, err
}
defer f.Close()
data, err := ioutil.ReadAll(f)
if err != nil {
return nil, err
}
return strings.Split(string(data[:len(data)-1]), string(byte(0))), nil
}
// FileDescriptors returns the currently open file descriptors of a process.
func (p Proc) FileDescriptors() ([]uintptr, error) {
names, err := p.fileDescriptors()
if err != nil {
return nil, err
}
fds := make([]uintptr, len(names))
for i, n := range names {
fd, err := strconv.ParseInt(n, 10, 32)
if err != nil {
return nil, fmt.Errorf("could not parse fd %s: %s", n, err)
}
fds[i] = uintptr(fd)
}
return fds, nil
}
// FileDescriptorsLen returns the number of currently open file descriptors of
// a process.
func (p Proc) FileDescriptorsLen() (int, error) {
fds, err := p.fileDescriptors()
if err != nil {
return 0, err
}
return len(fds), nil
}
func (p Proc) fileDescriptors() ([]string, error) {
d, err := p.open("fd")
if err != nil {
return nil, err
}
defer d.Close()
names, err := d.Readdirnames(-1)
if err != nil {
return nil, fmt.Errorf("could not read %s: %s", d.Name(), err)
}
return names, nil
}
func (p Proc) open(pa string) (*os.File, error) {
return p.fs.open(path.Join(strconv.Itoa(p.PID), pa))
}

111
vendor/github.com/prometheus/procfs/proc_limits.go generated vendored Normal file
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package procfs
import (
"bufio"
"fmt"
"regexp"
"strconv"
)
// ProcLimits represents the soft limits for each of the process's resource
// limits.
type ProcLimits struct {
CPUTime int
FileSize int
DataSize int
StackSize int
CoreFileSize int
ResidentSet int
Processes int
OpenFiles int
LockedMemory int
AddressSpace int
FileLocks int
PendingSignals int
MsqqueueSize int
NicePriority int
RealtimePriority int
RealtimeTimeout int
}
const (
limitsFields = 3
limitsUnlimited = "unlimited"
)
var (
limitsDelimiter = regexp.MustCompile(" +")
)
// NewLimits returns the current soft limits of the process.
func (p Proc) NewLimits() (ProcLimits, error) {
f, err := p.open("limits")
if err != nil {
return ProcLimits{}, err
}
defer f.Close()
var (
l = ProcLimits{}
s = bufio.NewScanner(f)
)
for s.Scan() {
fields := limitsDelimiter.Split(s.Text(), limitsFields)
if len(fields) != limitsFields {
return ProcLimits{}, fmt.Errorf(
"couldn't parse %s line %s", f.Name(), s.Text())
}
switch fields[0] {
case "Max cpu time":
l.CPUTime, err = parseInt(fields[1])
case "Max file size":
l.FileLocks, err = parseInt(fields[1])
case "Max data size":
l.DataSize, err = parseInt(fields[1])
case "Max stack size":
l.StackSize, err = parseInt(fields[1])
case "Max core file size":
l.CoreFileSize, err = parseInt(fields[1])
case "Max resident set":
l.ResidentSet, err = parseInt(fields[1])
case "Max processes":
l.Processes, err = parseInt(fields[1])
case "Max open files":
l.OpenFiles, err = parseInt(fields[1])
case "Max locked memory":
l.LockedMemory, err = parseInt(fields[1])
case "Max address space":
l.AddressSpace, err = parseInt(fields[1])
case "Max file locks":
l.FileLocks, err = parseInt(fields[1])
case "Max pending signals":
l.PendingSignals, err = parseInt(fields[1])
case "Max msgqueue size":
l.MsqqueueSize, err = parseInt(fields[1])
case "Max nice priority":
l.NicePriority, err = parseInt(fields[1])
case "Max realtime priority":
l.RealtimePriority, err = parseInt(fields[1])
case "Max realtime timeout":
l.RealtimeTimeout, err = parseInt(fields[1])
}
if err != nil {
return ProcLimits{}, err
}
}
return l, s.Err()
}
func parseInt(s string) (int, error) {
if s == limitsUnlimited {
return -1, nil
}
i, err := strconv.ParseInt(s, 10, 32)
if err != nil {
return 0, fmt.Errorf("couldn't parse value %s: %s", s, err)
}
return int(i), nil
}

175
vendor/github.com/prometheus/procfs/proc_stat.go generated vendored Normal file
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package procfs
import (
"bytes"
"fmt"
"io/ioutil"
"os"
)
// Originally, this USER_HZ value was dynamically retrieved via a sysconf call which
// required cgo. However, that caused a lot of problems regarding
// cross-compilation. Alternatives such as running a binary to determine the
// value, or trying to derive it in some other way were all problematic.
// After much research it was determined that USER_HZ is actually hardcoded to
// 100 on all Go-supported platforms as of the time of this writing. This is
// why we decided to hardcode it here as well. It is not impossible that there
// could be systems with exceptions, but they should be very exotic edge cases,
// and in that case, the worst outcome will be two misreported metrics.
//
// See also the following discussions:
//
// - https://github.com/prometheus/node_exporter/issues/52
// - https://github.com/prometheus/procfs/pull/2
// - http://stackoverflow.com/questions/17410841/how-does-user-hz-solve-the-jiffy-scaling-issue
const userHZ = 100
// ProcStat provides status information about the process,
// read from /proc/[pid]/stat.
type ProcStat struct {
// The process ID.
PID int
// The filename of the executable.
Comm string
// The process state.
State string
// The PID of the parent of this process.
PPID int
// The process group ID of the process.
PGRP int
// The session ID of the process.
Session int
// The controlling terminal of the process.
TTY int
// The ID of the foreground process group of the controlling terminal of
// the process.
TPGID int
// The kernel flags word of the process.
Flags uint
// The number of minor faults the process has made which have not required
// loading a memory page from disk.
MinFlt uint
// The number of minor faults that the process's waited-for children have
// made.
CMinFlt uint
// The number of major faults the process has made which have required
// loading a memory page from disk.
MajFlt uint
// The number of major faults that the process's waited-for children have
// made.
CMajFlt uint
// Amount of time that this process has been scheduled in user mode,
// measured in clock ticks.
UTime uint
// Amount of time that this process has been scheduled in kernel mode,
// measured in clock ticks.
STime uint
// Amount of time that this process's waited-for children have been
// scheduled in user mode, measured in clock ticks.
CUTime uint
// Amount of time that this process's waited-for children have been
// scheduled in kernel mode, measured in clock ticks.
CSTime uint
// For processes running a real-time scheduling policy, this is the negated
// scheduling priority, minus one.
Priority int
// The nice value, a value in the range 19 (low priority) to -20 (high
// priority).
Nice int
// Number of threads in this process.
NumThreads int
// The time the process started after system boot, the value is expressed
// in clock ticks.
Starttime uint64
// Virtual memory size in bytes.
VSize int
// Resident set size in pages.
RSS int
fs FS
}
// NewStat returns the current status information of the process.
func (p Proc) NewStat() (ProcStat, error) {
f, err := p.open("stat")
if err != nil {
return ProcStat{}, err
}
defer f.Close()
data, err := ioutil.ReadAll(f)
if err != nil {
return ProcStat{}, err
}
var (
ignore int
s = ProcStat{PID: p.PID, fs: p.fs}
l = bytes.Index(data, []byte("("))
r = bytes.LastIndex(data, []byte(")"))
)
if l < 0 || r < 0 {
return ProcStat{}, fmt.Errorf(
"unexpected format, couldn't extract comm: %s",
data,
)
}
s.Comm = string(data[l+1 : r])
_, err = fmt.Fscan(
bytes.NewBuffer(data[r+2:]),
&s.State,
&s.PPID,
&s.PGRP,
&s.Session,
&s.TTY,
&s.TPGID,
&s.Flags,
&s.MinFlt,
&s.CMinFlt,
&s.MajFlt,
&s.CMajFlt,
&s.UTime,
&s.STime,
&s.CUTime,
&s.CSTime,
&s.Priority,
&s.Nice,
&s.NumThreads,
&ignore,
&s.Starttime,
&s.VSize,
&s.RSS,
)
if err != nil {
return ProcStat{}, err
}
return s, nil
}
// VirtualMemory returns the virtual memory size in bytes.
func (s ProcStat) VirtualMemory() int {
return s.VSize
}
// ResidentMemory returns the resident memory size in bytes.
func (s ProcStat) ResidentMemory() int {
return s.RSS * os.Getpagesize()
}
// StartTime returns the unix timestamp of the process in seconds.
func (s ProcStat) StartTime() (float64, error) {
stat, err := s.fs.NewStat()
if err != nil {
return 0, err
}
return float64(stat.BootTime) + (float64(s.Starttime) / userHZ), nil
}
// CPUTime returns the total CPU user and system time in seconds.
func (s ProcStat) CPUTime() float64 {
return float64(s.UTime+s.STime) / userHZ
}

55
vendor/github.com/prometheus/procfs/stat.go generated vendored Normal file
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package procfs
import (
"bufio"
"fmt"
"strconv"
"strings"
)
// Stat represents kernel/system statistics.
type Stat struct {
// Boot time in seconds since the Epoch.
BootTime int64
}
// NewStat returns kernel/system statistics read from /proc/stat.
func NewStat() (Stat, error) {
fs, err := NewFS(DefaultMountPoint)
if err != nil {
return Stat{}, err
}
return fs.NewStat()
}
// NewStat returns an information about current kernel/system statistics.
func (fs FS) NewStat() (Stat, error) {
f, err := fs.open("stat")
if err != nil {
return Stat{}, err
}
defer f.Close()
s := bufio.NewScanner(f)
for s.Scan() {
line := s.Text()
if !strings.HasPrefix(line, "btime") {
continue
}
fields := strings.Fields(line)
if len(fields) != 2 {
return Stat{}, fmt.Errorf("couldn't parse %s line %s", f.Name(), line)
}
i, err := strconv.ParseInt(fields[1], 10, 32)
if err != nil {
return Stat{}, fmt.Errorf("couldn't parse %s: %s", fields[1], err)
}
return Stat{BootTime: i}, nil
}
if err := s.Err(); err != nil {
return Stat{}, fmt.Errorf("couldn't parse %s: %s", f.Name(), err)
}
return Stat{}, fmt.Errorf("couldn't parse %s, missing btime", f.Name())
}