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Etienne PerotandgVisor bot
81a41f5060
This is part of a series of changes to add metric charts in performance benchmarks. Comes with a test, which also serves as an end-to-end-ish test of profiling metric functionality from collection to charting. Including `metricsviz` in a `go_binary` requires making it non-`testonly`, which in turn means removing the `dockerutil` dependency, so this uses an interface to break the dependency on `dockerutil.Container`. PiperOrigin-RevId: 633394898
41 lines
1.1 KiB
Go
41 lines
1.1 KiB
Go
// Copyright 2024 The gVisor Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// metricsviz_cli visualizes metrics from profiling metrics logs.
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package main
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import (
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"context"
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"fmt"
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"os"
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"gvisor.dev/gvisor/test/metricsviz"
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)
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func main() {
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ctx := context.Background()
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if len(os.Args) < 2 {
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fmt.Fprintf(os.Stderr, "Usage: %s /path/to/profiling_metrics.log\n", os.Args[0])
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os.Exit(2)
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}
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for _, arg := range os.Args[1:] {
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if err := metricsviz.FromFile(ctx, arg, func(format string, args ...any) {
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fmt.Fprintf(os.Stdout, format+"\n", args...)
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}); err != nil {
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fmt.Fprintln(os.Stderr, err)
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os.Exit(1)
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}
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}
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}
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