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package cli
import (
"context"
"database/sql"
"errors"
"flag"
"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/osmpass"
"github.com/martinlehoux/biking_home/ride"
"github.com/martinlehoux/biking_home/rides"
"github.com/martinlehoux/biking_home/web"
"github.com/martinlehoux/kagamigo/kcore"
)
var (
download = flag.Bool("download", false, "download mountain passes into the database")
resume = flag.Bool("resume", false, "skip departments already cached on disk")
importCache = flag.Bool("import-cached", false, "import cached department CSVs into the database")
fetchOSM = flag.Bool("fetch-osm", false, "download the France OSM PBF (resumable) into france-latest.osm.pbf")
extractOSM = flag.String("extract-osm", "", "extract mountain passes from an OSM PBF file into the database")
enrich = flag.Bool("enrich", false, "backfill mountain pass coordinates from OSM data")
backfill = flag.Bool("backfill", false, "recompute all stored ride values")
backtest = flag.Bool("backtest", false, "run data benchmarks comparing computed values against stored reference values")
)
const (
backtestMinimumDistanceM = 10_000
backtestMinimumMovingRatio = 0.8
)
func Run(db *sql.DB, configPath string, appConfig config.Config) {
switch {
case *download:
err := mountain_pass.DownloadMountainPasses(db, 5*time.Second, *resume)
kcore.Expect(err, "failed to download mountain passes")
case *importCache:
_, err := mountain_pass.ImportCachedDepartments(db, []string{"06", "13"})
kcore.Expect(err, "failed to import cached departments")
case *fetchOSM:
err := osmpass.FetchFrancePBF("france-latest.osm.pbf")
kcore.Expect(err, "failed to download France OSM PBF")
case *extractOSM != "":
_, err := osmpass.ExtractMountainPasses(context.Background(), *extractOSM, db)
kcore.Expect(err, "failed to extract mountain passes from OSM")
case *enrich:
_, err := osmpass.EnrichMountainPasses(db)
kcore.Expect(err, "failed to enrich mountain passes")
case *backfill:
count, err := rides.Backfill(db)
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")
default:
runServer(db, configPath, appConfig)
}
}
func runServer(db *sql.DB, configPath string, appConfig config.Config) {
server := web.NewServer(db, configPath)
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 := rides.List(db)
if err != nil {
return err
}
var samples []backtestSample
for i, item := range items {
if i > 0 && i%50 == 0 {
slog.Info("Backtest progress", "processed", i, "total", len(items))
}
if !isBacktestEligible(item) {
continue
}
parsed, err := ride.ParseFile(ride.GPXRideParser{}, item.GPXPath)
if err != nil {
if errors.Is(err, ride.ErrNoTrackPoints) {
continue
}
slog.Warn("Failed to parse ride GPX", "ride", item.ExternalID, "file", item.GPXPath, "error", err)
continue
}
reference := time.Duration(item.MovingTimeS) * 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 GPX 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 := 10
if len(samples) < limit {
limit = len(samples)
}
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), "min_distance_m", backtestMinimumDistanceM, "min_moving_ratio", backtestMinimumMovingRatio, "mean_err_pct", math.Round(meanAbsErr(absErrors)*10)/10, "stderr_pct", math.Round(stdErrAbsErr(absErrors)*10)/10)
return nil
}
func isBacktestEligible(item rides.Ride) bool {
return item.GPXPath != "" &&
item.DistanceM >= backtestMinimumDistanceM &&
item.MovingTimeS > 0 &&
item.ElapsedTimeS > 0 &&
float64(item.MovingTimeS)/float64(item.ElapsedTimeS) >= backtestMinimumMovingRatio
}
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 := int(math.Ceil(p/100*float64(len(sorted))) - 1)
if index < 0 {
index = 0
}
if index >= len(sorted) {
index = len(sorted) - 1
}
distribution[p] = sorted[index]
}
return distribution
}
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