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fixed timecode issue

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sstent
2025-09-22 10:53:41 -07:00
parent 4aa72fcd11
commit f2256a9cfe
20 changed files with 173 additions and 12 deletions
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README.md
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@@ -1,10 +1,12 @@
# Garmin Connect Go Client
[![Go Reference](https://pkg.go.dev/badge/github.com/sstent/go-garth/pkg/garmin.svg)](https://pkg.go.dev/github.com/sstent/go-garth/pkg/garmin)
Go port of the Garth Python library for accessing Garmin Connect data. Provides full API coverage with improved performance and type safety.
## Installation
```bash
go get github.com/sstent/garmin-connect/garth
go get github.com/sstent/go-garth/pkg/garmin
```
## Basic Usage
@@ -14,12 +16,12 @@ package main
import (
"fmt"
"time"
"garmin-connect/garth"
"github.com/sstent/go-garth/pkg/garmin"
)
func main() {
// Create client and authenticate
client, err := garth.NewClient("garmin.com")
client, err := garmin.NewClient("garmin.com")
if err != nil {
panic(err)
}
@@ -29,9 +31,9 @@ func main() {
panic(err)
}
// Get yesterday's body battery data
// Get yesterday's body battery data (detailed)
yesterday := time.Now().AddDate(0, 0, -1)
bb, err := garth.BodyBatteryData{}.Get(yesterday, client)
bb, err := client.GetBodyBatteryData(yesterday)
if err != nil {
panic(err)
}
@@ -41,16 +43,16 @@ func main() {
}
// Get weekly steps
steps := garth.NewDailySteps()
steps := garmin.NewDailySteps()
stepData, err := steps.List(time.Now(), 7, client)
if err != nil {
panic(err)
}
for _, s := range stepData {
fmt.Printf("%s: %d steps\n",
s.(garth.DailySteps).CalendarDate.Format("2006-01-02"),
*s.(garth.DailySteps).TotalSteps)
fmt.Printf("%s: %d steps\n",
s.(garmin.DailySteps).CalendarDate.Format("2006-01-02"),
*s.(garmin.DailySteps).TotalSteps)
}
}
```
@@ -102,7 +104,7 @@ BenchmarkSleepList-8 50000 35124 ns/op (7 days)
```
## Documentation
Full API docs: [https://pkg.go.dev/garmin-connect/garth](https://pkg.go.dev/garmin-connect/garth)
Full API docs: [https://pkg.go.dev/github.com/sstent/go-garth/pkg/garmin](https://pkg.go.dev/github.com/sstent/go-garth/pkg/garmin)
## CLI Tool
Includes `cmd/garth` CLI for data export. Supports both daily and weekly stats: