mirror of
https://github.com/ralsina/tartrazine.git
synced 2024-11-10 13:32:24 +00:00
d768719609
Signed-off-by: Josh Soref <2119212+jsoref@users.noreply.github.com>
387 lines
8.9 KiB
Go
387 lines
8.9 KiB
Go
package main
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import (
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"bufio"
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"bytes"
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"encoding/csv"
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"flag"
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"fmt"
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"io/ioutil"
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"log"
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"math"
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"os"
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"path/filepath"
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"runtime"
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"sort"
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"strconv"
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"strings"
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)
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const (
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// functions benchmarked
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getLanguageFunc = "GetLanguage()"
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classifyFunc = "Classify()"
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modelineFunc = "GetLanguagesByModeline()"
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filenameFunc = "GetLanguagesByFilename()"
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shebangFunc = "GetLanguagesByShebang()"
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extensionFunc = "GetLanguagesByExtension()"
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contentFunc = "GetLanguagesByContent()"
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// benchmark's outputs
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enryTotalBench = "enry_total.bench"
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enrySamplesBench = "enry_samples.bench"
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linguistTotalBench = "linguist_total.bench"
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linguistSamplesBench = "linguist_samples.bench"
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// files to generate
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enryTotalCSV = "enry-total.csv"
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enrySamplesCSV = "enry-samples.csv"
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linguistTotalCSV = "linguist-total.csv"
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linguistSamplesCSV = "linguist-samples.csv"
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// files to generate with flag distribution
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enryDistributionCSV = "enry-distribution.csv"
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linguistDistributionCSV = "linguist-distribution.csv"
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)
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var (
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// flags
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distribution bool
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outDir string
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enryFunctions = []string{getLanguageFunc, classifyFunc, modelineFunc, filenameFunc, shebangFunc, extensionFunc, contentFunc}
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distributionIntervals = []string{"1us-10us", "10us-100us", "100us-1ms", "1ms-10ms", "10ms-100ms"}
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)
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func main() {
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flag.BoolVar(&distribution, "distribution", false, "generate enry-distribution.csv and linguist-distribution.csv")
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flag.StringVar(&outDir, "outdir", "", "path to leave csv files")
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flag.Parse()
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if distribution {
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generateDistributionCSV()
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return
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}
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generateCSV()
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}
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func generateDistributionCSV() {
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CSVFiles := []struct {
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in string
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out string
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tool string
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}{
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{in: enrySamplesCSV, out: enryDistributionCSV, tool: "enry"},
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{in: linguistSamplesCSV, out: linguistDistributionCSV, tool: "linguist"},
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}
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for _, CSVFile := range CSVFiles {
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f, err := os.Open(CSVFile.in)
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if err != nil {
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log.Println(err)
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continue
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}
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defer f.Close()
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r := csv.NewReader(f)
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CSVSamples, err := r.ReadAll()
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if err != nil {
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log.Println(err)
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continue
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}
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CSVDistribution, err := buildDistribution(CSVSamples[1:], CSVFile.tool)
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if err != nil {
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log.Println(err)
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continue
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}
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if err := writeCSV(CSVDistribution, filepath.Join(outDir, CSVFile.out)); err != nil {
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log.Println(err)
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continue
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}
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}
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}
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func buildDistribution(CSVSamples [][]string, tool string) ([][]string, error) {
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count := make(map[string]int, len(distributionIntervals))
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for _, row := range CSVSamples {
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if row[1] != getLanguageFunc {
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continue
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}
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num, err := strconv.ParseFloat(row[len(row)-1], 64)
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if err != nil {
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return nil, err
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}
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arrangeByTime(count, num)
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}
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CSVDistribution := make([][]string, 0, len(count)+1)
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firstLine := []string{"timeInterval", tool, "numberOfFiles"}
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CSVDistribution = append(CSVDistribution, firstLine)
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for _, interval := range distributionIntervals {
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number := strconv.FormatInt(int64(count[interval]), 10)
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row := []string{interval, tool, number}
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CSVDistribution = append(CSVDistribution, row)
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}
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printDistributionInfo(count, tool)
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return CSVDistribution, nil
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}
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func printDistributionInfo(count map[string]int, tool string) {
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total := 0
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for _, v := range count {
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total += v
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}
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fmt.Println(tool, "files", total)
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fmt.Println("Distribution")
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for _, interval := range distributionIntervals {
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fmt.Println("\t", interval, count[interval])
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}
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fmt.Println("Percentage")
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for _, interval := range distributionIntervals {
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p := (float64(count[interval]) / float64(total)) * 100.00
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fmt.Printf("\t %s %f%%\n", interval, p)
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}
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fmt.Printf("\n\n")
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}
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func arrangeByTime(count map[string]int, num float64) {
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switch {
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case num > 1000.00 && num <= 10000.00:
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count[distributionIntervals[0]]++
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case num > 10000.00 && num <= 100000.00:
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count[distributionIntervals[1]]++
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case num > 100000.00 && num <= 1000000.00:
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count[distributionIntervals[2]]++
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case num > 1000000.00 && num <= 10000000.00:
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count[distributionIntervals[3]]++
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case num > 10000000.00 && num <= 100000000.00:
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count[distributionIntervals[4]]++
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}
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}
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func writeCSV(CSVData [][]string, outPath string) error {
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out, err := os.Create(outPath)
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if err != nil {
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return err
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}
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w := csv.NewWriter(out)
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w.WriteAll(CSVData)
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if err := w.Error(); err != nil {
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return err
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}
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return nil
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}
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type parse func(data []byte, tool string) ([][]string, error)
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func generateCSV() {
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bmFiles := []struct {
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in string
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out string
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tool string
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parse parse
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}{
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{in: enryTotalBench, out: enryTotalCSV, tool: "enry", parse: parseTotal},
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{in: linguistTotalBench, out: linguistTotalCSV, tool: "linguist", parse: parseTotal},
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{in: enrySamplesBench, out: enrySamplesCSV, tool: "enry", parse: parseSamples},
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{in: linguistSamplesBench, out: linguistSamplesCSV, tool: "linguist", parse: parseSamples},
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}
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for _, bmFile := range bmFiles {
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buf, err := ioutil.ReadFile(bmFile.in)
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if err != nil {
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log.Println(err)
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continue
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}
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info, err := bmFile.parse(buf, bmFile.tool)
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if err != nil {
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log.Println(err)
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continue
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}
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if err := writeCSV(info, filepath.Join(outDir, bmFile.out)); err != nil {
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log.Println(err)
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continue
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}
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}
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}
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func parseTotal(data []byte, tool string) ([][]string, error) {
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const totalLine = "_TOTAL"
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parsedInfo := map[string][]string{}
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buf := bufio.NewScanner(bytes.NewReader(data))
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for buf.Scan() {
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line := buf.Text()
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if strings.Contains(line, totalLine) {
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split := strings.Fields(line)
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row, err := getRow(split, tool)
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if err != nil {
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return nil, err
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}
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parsedInfo[row[0]] = row
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}
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}
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if err := buf.Err(); err != nil {
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return nil, err
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}
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firstLine := []string{"function", "tool", "iterations", "ns/op"}
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return prepareInfoForCSV(parsedInfo, firstLine), nil
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}
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func getRow(line []string, tool string) ([]string, error) {
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row := make([]string, 0, 3)
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for _, function := range enryFunctions {
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if strings.Contains(line[0], function) {
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row = append(row, function)
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break
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}
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}
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row = append(row, tool)
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iterations := line[1]
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row = append(row, iterations)
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average, err := getAverage(line)
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if err != nil {
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return nil, err
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}
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row = append(row, average)
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return row, nil
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}
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func getAverage(line []string) (string, error) {
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average := line[len(line)-1]
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if !strings.HasSuffix(average, ")") {
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return line[2], nil
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}
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totalTime := strings.Trim(average, "() ")
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time, err := strconv.ParseFloat(totalTime, 64)
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if err != nil {
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return "", err
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}
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iterations := line[1]
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i, err := strconv.ParseFloat(iterations, 64)
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if err != nil {
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return "", err
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}
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avg := (time * math.Pow10(9)) / i
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return fmt.Sprintf("%d", int(avg)), nil
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}
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func prepareInfoForCSV(parsedInfo map[string][]string, firstLine []string) [][]string {
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info := createInfoWithFirstLine(firstLine, len(parsedInfo))
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for _, function := range enryFunctions {
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info = append(info, parsedInfo[function])
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}
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return info
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}
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func createInfoWithFirstLine(firstLine []string, sliceLength int) (info [][]string) {
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if len(firstLine) > 0 {
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info = make([][]string, 0, sliceLength+1)
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info = append(info, firstLine)
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} else {
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info = make([][]string, 0, sliceLength)
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}
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return
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}
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type enryFuncs map[string][]string
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func newEnryFuncs() enryFuncs {
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return enryFuncs{
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getLanguageFunc: nil,
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classifyFunc: nil,
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modelineFunc: nil,
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filenameFunc: nil,
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shebangFunc: nil,
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extensionFunc: nil,
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contentFunc: nil,
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}
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}
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func parseSamples(data []byte, tool string) ([][]string, error) {
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const sampleLine = "SAMPLE_"
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parsedInfo := map[string]enryFuncs{}
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buf := bufio.NewScanner(bytes.NewReader(data))
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for buf.Scan() {
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line := buf.Text()
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if strings.Contains(line, sampleLine) {
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split := strings.Fields(line)
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name := getSampleName(split[0])
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if _, ok := parsedInfo[name]; !ok {
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parsedInfo[name] = newEnryFuncs()
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}
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row := make([]string, 0, 4)
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row = append(row, name)
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r, err := getRow(split, tool)
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if err != nil {
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return nil, err
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}
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row = append(row, r...)
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function := row[1]
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parsedInfo[name][function] = row
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}
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}
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if err := buf.Err(); err != nil {
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return nil, err
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}
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firstLine := []string{"file", "function", "tool", "iterations", "ns/op"}
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return prepareSamplesInfoForCSV(parsedInfo, firstLine), nil
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}
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func getSampleName(s string) string {
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start := strings.Index(s, "SAMPLE_") + len("SAMPLE_")
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suffix := fmt.Sprintf("-%d", runtime.GOMAXPROCS(-1))
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name := strings.TrimSuffix(s[start:], suffix)
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return name
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}
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func prepareSamplesInfoForCSV(parsedInfo map[string]enryFuncs, firstLine []string) [][]string {
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info := createInfoWithFirstLine(firstLine, len(parsedInfo)*len(enryFunctions))
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orderedKeys := sortKeys(parsedInfo)
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for _, path := range orderedKeys {
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sampleInfo := prepareInfoForCSV(parsedInfo[path], nil)
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info = append(info, sampleInfo...)
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}
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return info
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}
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func sortKeys(parsedInfo map[string]enryFuncs) []string {
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keys := make([]string, 0, len(parsedInfo))
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for key := range parsedInfo {
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keys = append(keys, key)
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}
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sort.Strings(keys)
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return keys
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}
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