// Copyright 2024 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 textparse import ( "testing" "github.com/prometheus/common/model" "github.com/prometheus/prometheus/model/exemplar" "github.com/prometheus/prometheus/model/histogram" "github.com/prometheus/prometheus/model/labels" ) func TestNhcbParserOnOpenMetricsParser(t *testing.T) { input := `# HELP go_gc_duration_seconds A summary of the GC invocation durations. # TYPE go_gc_duration_seconds summary # UNIT go_gc_duration_seconds seconds go_gc_duration_seconds{quantile="0"} 4.9351e-05 go_gc_duration_seconds{quantile="0.25"} 7.424100000000001e-05 go_gc_duration_seconds{quantile="0.5",a="b"} 8.3835e-05 # HELP nohelp1 # HELP help2 escape \ \n \\ \" \x chars # UNIT nounit go_gc_duration_seconds{quantile="1.0",a="b"} 8.3835e-05 go_gc_duration_seconds_count 99 some:aggregate:rate5m{a_b="c"} 1 # HELP go_goroutines Number of goroutines that currently exist. # TYPE go_goroutines gauge go_goroutines 33 123.123 # TYPE hh histogram hh_bucket{le="+Inf"} 1 # TYPE gh gaugehistogram gh_bucket{le="+Inf"} 1 # TYPE hhh histogram hhh_bucket{le="+Inf"} 1 # {id="histogram-bucket-test"} 4 hhh_count 1 # {id="histogram-count-test"} 4 # TYPE ggh gaugehistogram ggh_bucket{le="+Inf"} 1 # {id="gaugehistogram-bucket-test",xx="yy"} 4 123.123 ggh_count 1 # {id="gaugehistogram-count-test",xx="yy"} 4 123.123 # TYPE smr_seconds summary smr_seconds_count 2.0 # {id="summary-count-test"} 1 123.321 smr_seconds_sum 42.0 # {id="summary-sum-test"} 1 123.321 # TYPE ii info ii{foo="bar"} 1 # TYPE ss stateset ss{ss="foo"} 1 ss{ss="bar"} 0 ss{A="a"} 0 # TYPE un unknown _metric_starting_with_underscore 1 testmetric{_label_starting_with_underscore="foo"} 1 testmetric{label="\"bar\""} 1 # HELP foo Counter with and without labels to certify CT is parsed for both cases # TYPE foo counter foo_total 17.0 1520879607.789 # {id="counter-test"} 5 foo_created 1520872607.123 foo_total{a="b"} 17.0 1520879607.789 # {id="counter-test"} 5 foo_created{a="b"} 1520872607.123 # HELP bar Summary with CT at the end, making sure we find CT even if it's multiple lines a far # TYPE bar summary bar_count 17.0 bar_sum 324789.3 bar{quantile="0.95"} 123.7 bar{quantile="0.99"} 150.0 bar_created 1520872608.124 # HELP baz Histogram with the same objective as above's summary # TYPE baz histogram baz_bucket{le="0.0"} 0 baz_bucket{le="+Inf"} 17 baz_count 17 baz_sum 324789.3 baz_created 1520872609.125 # HELP fizz_created Gauge which shouldn't be parsed as CT # TYPE fizz_created gauge fizz_created 17.0 # HELP something Histogram with _created between buckets and summary # TYPE something histogram something_count 18 something_sum 324789.4 something_created 1520430001 something_bucket{le="0.0"} 1 something_bucket{le="+Inf"} 18 # HELP yum Summary with _created between sum and quantiles # TYPE yum summary yum_count 20 yum_sum 324789.5 yum_created 1520430003 yum{quantile="0.95"} 123.7 yum{quantile="0.99"} 150.0 # HELP foobar Summary with _created as the first line # TYPE foobar summary foobar_count 21 foobar_created 1520430004 foobar_sum 324789.6 foobar{quantile="0.95"} 123.8 foobar{quantile="0.99"} 150.1` input += "\n# HELP metric foo\x00bar" input += "\nnull_byte_metric{a=\"abc\x00\"} 1" input += "\n# EOF\n" exp := []expectedParse{ { m: "go_gc_duration_seconds", help: "A summary of the GC invocation durations.", }, { m: "go_gc_duration_seconds", typ: model.MetricTypeSummary, }, { m: "go_gc_duration_seconds", unit: "seconds", }, { m: `go_gc_duration_seconds{quantile="0"}`, v: 4.9351e-05, lset: labels.FromStrings("__name__", "go_gc_duration_seconds", "quantile", "0"), }, { m: `go_gc_duration_seconds{quantile="0.25"}`, v: 7.424100000000001e-05, lset: labels.FromStrings("__name__", "go_gc_duration_seconds", "quantile", "0.25"), }, { m: `go_gc_duration_seconds{quantile="0.5",a="b"}`, v: 8.3835e-05, lset: labels.FromStrings("__name__", "go_gc_duration_seconds", "quantile", "0.5", "a", "b"), }, { m: "nohelp1", help: "", }, { m: "help2", help: "escape \\ \n \\ \" \\x chars", }, { m: "nounit", unit: "", }, { m: `go_gc_duration_seconds{quantile="1.0",a="b"}`, v: 8.3835e-05, lset: labels.FromStrings("__name__", "go_gc_duration_seconds", "quantile", "1.0", "a", "b"), }, { m: `go_gc_duration_seconds_count`, v: 99, lset: labels.FromStrings("__name__", "go_gc_duration_seconds_count"), }, { m: `some:aggregate:rate5m{a_b="c"}`, v: 1, lset: labels.FromStrings("__name__", "some:aggregate:rate5m", "a_b", "c"), }, { m: "go_goroutines", help: "Number of goroutines that currently exist.", }, { m: "go_goroutines", typ: model.MetricTypeGauge, }, { m: `go_goroutines`, v: 33, t: int64p(123123), lset: labels.FromStrings("__name__", "go_goroutines"), }, { m: "hh", typ: model.MetricTypeHistogram, }, { m: `hh{}`, h: &histogram.Histogram{ Schema: -53, // Custom buckets. Count: 1, Sum: 0.0, PositiveSpans: []histogram.Span{{Offset: 0, Length: 1}}, PositiveBuckets: []int64{1}, // Custom values are empty as we do not store the +Inf boundary. }, lset: labels.FromStrings("__name__", "hh"), }, { m: "gh", typ: model.MetricTypeGaugeHistogram, }, { m: `gh_bucket{le="+Inf"}`, v: 1, lset: labels.FromStrings("__name__", "gh_bucket", "le", "+Inf"), }, { m: "hhh", typ: model.MetricTypeHistogram, }, { m: `hhh{}`, h: &histogram.Histogram{ Schema: -53, // Custom buckets. Count: 1, Sum: 0.0, PositiveSpans: []histogram.Span{{Offset: 0, Length: 1}}, PositiveBuckets: []int64{1}, // Custom values are empty as we do not store the +Inf boundary. }, lset: labels.FromStrings("__name__", "hhh"), // TODO(krajorama) e: []*exemplar.Exemplar{{Labels: labels.FromStrings("id", "histogram-bucket-test"), Value: 4}}, }, { m: "ggh", typ: model.MetricTypeGaugeHistogram, }, { m: `ggh_bucket{le="+Inf"}`, v: 1, lset: labels.FromStrings("__name__", "ggh_bucket", "le", "+Inf"), e: []*exemplar.Exemplar{{Labels: labels.FromStrings("id", "gaugehistogram-bucket-test", "xx", "yy"), Value: 4, HasTs: true, Ts: 123123}}, }, { m: `ggh_count`, v: 1, lset: labels.FromStrings("__name__", "ggh_count"), e: []*exemplar.Exemplar{{Labels: labels.FromStrings("id", "gaugehistogram-count-test", "xx", "yy"), Value: 4, HasTs: true, Ts: 123123}}, }, { m: "smr_seconds", typ: model.MetricTypeSummary, }, { m: `smr_seconds_count`, v: 2, lset: labels.FromStrings("__name__", "smr_seconds_count"), e: []*exemplar.Exemplar{{Labels: labels.FromStrings("id", "summary-count-test"), Value: 1, HasTs: true, Ts: 123321}}, }, { m: `smr_seconds_sum`, v: 42, lset: labels.FromStrings("__name__", "smr_seconds_sum"), e: []*exemplar.Exemplar{{Labels: labels.FromStrings("id", "summary-sum-test"), Value: 1, HasTs: true, Ts: 123321}}, }, { m: "ii", typ: model.MetricTypeInfo, }, { m: `ii{foo="bar"}`, v: 1, lset: labels.FromStrings("__name__", "ii", "foo", "bar"), }, { m: "ss", typ: model.MetricTypeStateset, }, { m: `ss{ss="foo"}`, v: 1, lset: labels.FromStrings("__name__", "ss", "ss", "foo"), }, { m: `ss{ss="bar"}`, v: 0, lset: labels.FromStrings("__name__", "ss", "ss", "bar"), }, { m: `ss{A="a"}`, v: 0, lset: labels.FromStrings("A", "a", "__name__", "ss"), }, { m: "un", typ: model.MetricTypeUnknown, }, { m: "_metric_starting_with_underscore", v: 1, lset: labels.FromStrings("__name__", "_metric_starting_with_underscore"), }, { m: "testmetric{_label_starting_with_underscore=\"foo\"}", v: 1, lset: labels.FromStrings("__name__", "testmetric", "_label_starting_with_underscore", "foo"), }, { m: "testmetric{label=\"\\\"bar\\\"\"}", v: 1, lset: labels.FromStrings("__name__", "testmetric", "label", `"bar"`), }, { m: "foo", help: "Counter with and without labels to certify CT is parsed for both cases", }, { m: "foo", typ: model.MetricTypeCounter, }, { m: "foo_total", v: 17, lset: labels.FromStrings("__name__", "foo_total"), t: int64p(1520879607789), e: []*exemplar.Exemplar{{Labels: labels.FromStrings("id", "counter-test"), Value: 5}}, ct: int64p(1520872607123), }, { m: `foo_total{a="b"}`, v: 17.0, lset: labels.FromStrings("__name__", "foo_total", "a", "b"), t: int64p(1520879607789), e: []*exemplar.Exemplar{{Labels: labels.FromStrings("id", "counter-test"), Value: 5}}, ct: int64p(1520872607123), }, { m: "bar", help: "Summary with CT at the end, making sure we find CT even if it's multiple lines a far", }, { m: "bar", typ: model.MetricTypeSummary, }, { m: "bar_count", v: 17.0, lset: labels.FromStrings("__name__", "bar_count"), ct: int64p(1520872608124), }, { m: "bar_sum", v: 324789.3, lset: labels.FromStrings("__name__", "bar_sum"), ct: int64p(1520872608124), }, { m: `bar{quantile="0.95"}`, v: 123.7, lset: labels.FromStrings("__name__", "bar", "quantile", "0.95"), ct: int64p(1520872608124), }, { m: `bar{quantile="0.99"}`, v: 150.0, lset: labels.FromStrings("__name__", "bar", "quantile", "0.99"), ct: int64p(1520872608124), }, { m: "baz", help: "Histogram with the same objective as above's summary", }, { m: "baz", typ: model.MetricTypeHistogram, }, { m: `baz{}`, h: &histogram.Histogram{ Schema: -53, // Custom buckets. Count: 17, Sum: 324789.3, PositiveSpans: []histogram.Span{{Offset: 1, Length: 1}}, // The first bucket has 0 count so we don't store it and Offset is 1. PositiveBuckets: []int64{17}, CustomValues: []float64{0.0}, // We do not store the +Inf boundary. }, lset: labels.FromStrings("__name__", "baz"), //ct: int64p(1520872609125), }, } p := NewOpenMetricsParser([]byte(input), labels.NewSymbolTable(), WithOMParserCTSeriesSkipped()) p = NewNHCBParser(p, false) checkParseResultsWithCT(t, p, exp, true) }