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package cli
import (
"context"
"database/sql"
"errors"
"fmt"
"log/slog"
"math"
"os"
"sort"
"text/tabwriter"
"time"
"github.com/martinlehoux/biking_home/config"
"github.com/martinlehoux/biking_home/mountain_pass"
"github.com/martinlehoux/biking_home/ride"
"github.com/martinlehoux/biking_home/web"
"github.com/martinlehoux/kagamigo/kcore"
"github.com/schollz/progressbar/v3"
)
func Run(db *sql.DB, configPath string, appConfig config.Config, args []string, enablePprof bool) {
if len(args) == 0 {
runServer(db, configPath, appConfig, enablePprof)
return
}
switch args[0] {
case "fetch-osm":
err := mountain_pass.FetchFrancePBF("france-latest.osm.pbf")
kcore.Expect(err, "failed to download France OSM PBF")
case "extract-osm":
if len(args) < 2 {
fmt.Fprintln(os.Stderr, "extract-osm requires a PBF file path argument")
printUsage()
os.Exit(2)
}
pbfPath := args[1]
enabled := progressBarEnabled()
var bar *progressbar.ProgressBar
_, err := mountain_pass.ExtractMountainPasses(context.Background(), pbfPath, db, func(current, total int64) {
if bar == nil && enabled {
bar = progressbar.DefaultBytes(total, "Extracting mountain passes")
}
if bar != nil {
bar.Set64(current)
}
})
if bar != nil {
bar.Finish()
}
kcore.Expect(err, "failed to extract mountain passes from OSM")
case "backfill":
enabled := progressBarEnabled()
var bar *progressbar.ProgressBar
count, err := ride.Backfill(db, func(current, total int) {
if bar == nil && enabled {
bar = progressbar.Default(int64(total), "Backfilling ride values")
}
if bar != nil {
bar.Set(current)
}
})
if bar != nil {
bar.Finish()
}
kcore.Expect(err, "failed to backfill ride values")
slog.Info("Backfilled ride values", "rides", count)
case "backtest":
kcore.Expect(runBacktest(db), "failed to run backtest")
case "serve":
pprof := enablePprof
for _, arg := range args[1:] {
if arg == "--pprof" || arg == "-pprof" || arg == "pprof" {
pprof = true
}
}
runServer(db, configPath, appConfig, pprof)
case "help", "-h", "--help":
printUsage()
default:
fmt.Fprintf(os.Stderr, "unknown command %q\n", args[0])
printUsage()
os.Exit(2)
}
}
func printUsage() {
fmt.Fprintf(os.Stderr, `Usage: biking_home [global flags] <command> [args]
Global flags:
-config <path> path to YAML configuration file (default "config.yaml")
-pprof expose pprof endpoints at /debug/pprof (also: "serve --pprof")
Commands:
serve start web server (default when no command given)
fetch-osm download the France OSM PBF into france-latest.osm.pbf
extract-osm <path> extract mountain passes from an OSM PBF file
backfill recompute all stored ride values
backtest run data benchmarks comparing computed values against stored reference values
`)
}
// progressBarEnabled reports whether stderr is attached to a terminal, so the
// progress bar only renders for interactive runs and stays out of piped or
// redirected output.
func progressBarEnabled() bool {
fi, err := os.Stderr.Stat()
return err == nil && fi.Mode()&os.ModeCharDevice != 0
}
func runServer(db *sql.DB, configPath string, appConfig config.Config, enablePprof bool) {
server := web.NewServer(db, configPath).WithPprof(enablePprof)
if enablePprof {
slog.Info("pprof enabled", "endpoint", appConfig.Server.PublicURL+"/debug/pprof/")
}
slog.Info("Starting web server", "address", appConfig.Server.PublicURL)
kcore.Expect(server.ListenAndServe(appConfig.Server.Address), "web server stopped")
}
type backtestSample struct {
externalID string
name string
computed time.Duration
reference time.Duration
relErrorPct float64
}
func runBacktest(db *sql.DB) error {
items, err := ride.List(db)
if err != nil {
return err
}
var samples []backtestSample
var bar *progressbar.ProgressBar
if progressBarEnabled() {
bar = progressbar.Default(int64(len(items)), "Backtesting rides")
defer bar.Finish()
}
for _, item := range items {
if bar != nil {
bar.Add(1)
}
if !isBacktestEligible(item) {
continue
}
parsed, err := ride.ParseFile(ride.FITRideParser{}, item.FitPath)
if err != nil {
if errors.Is(err, ride.ErrNoTrackPoints) {
continue
}
slog.Warn("Failed to parse ride FIT", "ride", item.ExternalID, "file", item.FitPath, "error", err)
continue
}
reference := time.Duration(item.ExternalMovingTimeS) * time.Second
computed := ride.MovingTime(parsed)
samples = append(samples, backtestSample{
externalID: item.ExternalID,
name: item.Name,
computed: computed,
reference: reference,
relErrorPct: (float64(computed) - float64(reference)) / float64(reference) * 100,
})
}
if len(samples) == 0 {
slog.Info("No rides with FIT to backtest", "rides", len(items))
return nil
}
sort.Slice(samples, func(i, j int) bool {
return math.Abs(samples[i].relErrorPct) > math.Abs(samples[j].relErrorPct)
})
w := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', 0)
fmt.Fprintln(w, "computed\treference\terr %\tride")
limit := min(len(samples), 10)
for _, s := range samples[:limit] {
fmt.Fprintf(w, "%s\t%s\t%+.1f\t%s (%s)\n", s.computed.Round(time.Second), s.reference.Round(time.Second), s.relErrorPct, s.name, s.externalID)
}
w.Flush()
absErrors := make([]float64, 0, len(samples))
for _, s := range samples {
absErrors = append(absErrors, math.Abs(s.relErrorPct))
}
percentiles := []float64{50, 75, 90, 95, 99}
distribution := errorDistribution(absErrors, percentiles)
table := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', 0)
fmt.Fprintln(table, "percentile\tabs err %")
for _, p := range percentiles {
fmt.Fprintf(table, "p%g\t%.1f\n", p, distribution[p])
}
table.Flush()
slog.Info("Moving time backtest", "rides", len(samples), "mean_err_pct", math.Round(meanAbsErr(absErrors)*10)/10, "stderr_pct", math.Round(stdErrAbsErr(absErrors)*10)/10)
return nil
}
func isBacktestEligible(item ride.StoredRide) bool {
if item.FitPath == "" || item.ExternalMovingTimeS <= 0 || item.ElapsedTimeS <= 0 {
return false
}
if !item.IsCategorised() {
return false
}
if item.RideType == ride.RideTypeIndoor || item.RideType == ride.RideTypeTransport {
return false
}
return true
}
func meanAbsErr(absErrors []float64) float64 {
var sum float64
for _, err := range absErrors {
sum += err
}
return sum / float64(len(absErrors))
}
func stdErrAbsErr(absErrors []float64) float64 {
mean := meanAbsErr(absErrors)
var sumSquares float64
for _, err := range absErrors {
sumSquares += (err - mean) * (err - mean)
}
variance := sumSquares / float64(len(absErrors)-1)
return math.Sqrt(variance / float64(len(absErrors)))
}
func errorDistribution(absErrors []float64, percentiles []float64) map[float64]float64 {
sorted := append([]float64(nil), absErrors...)
sort.Float64s(sorted)
distribution := map[float64]float64{}
for _, p := range percentiles {
index := max(int(math.Ceil(p/100*float64(len(sorted)))-1), 0)
if index >= len(sorted) {
index = len(sorted) - 1
}
distribution[p] = sorted[index]
}
return distribution
}
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