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# FitTracker
Self-hosted fitness tracking — Garmin & Strava import, maps, health trends, personal records.
---
## For users — deploy with two files
Once this repo is pushed to Gitea and the Actions workflow has run once, anyone on your network only needs **two files** to run FitTracker. No source code, no cloning.
```bash
mkdir fittracker && cd fittracker
# Download the two deployment files
curl -O https://gitea.yourdomain.com/yourusername/fittracker/raw/branch/main/docker-compose.deploy.yml
curl -O https://gitea.yourdomain.com/yourusername/fittracker/raw/branch/main/nginx.conf
# Start (images pulled automatically from your Gitea registry)
docker compose -f docker-compose.deploy.yml up -d
```
Default login: `admin` / `admin`
**Change `ADMIN_PASSWORD` in a `.env` file before exposing to a network** (see Configuration below).
To update when a new version is pushed to Gitea:
```bash
docker compose -f docker-compose.deploy.yml pull
docker compose -f docker-compose.deploy.yml up -d
```
---
## For developers — first-time Gitea setup
### 1. Enable the Gitea container registry
In your Gitea instance (`app.ini` or admin panel):
```ini
[packages]
ENABLED = true
```
Restart Gitea. The registry is then available at `gitea.yourdomain.com`.
### 2. Create a Gitea Actions runner
Gitea Actions needs a runner on your server:
```bash
# On the server that will build images
docker run -d \
--name gitea-runner \
--restart always \
-v /var/run/docker.sock:/var/run/docker.sock \
-v gitea-runner-data:/data \
-e GITEA_INSTANCE_URL=https://gitea.yourdomain.com \
-e GITEA_RUNNER_REGISTRATION_TOKEN=<token from Gitea → Settings → Runners> \
gitea/act_runner:latest
```
Get the registration token from: **Gitea → Your repo → Settings → Actions → Runners → Create Runner**
### 3. Create a package token
The workflow needs a token to push images to the registry:
1. Gitea → Your profile → **Settings → Applications → Generate Token**
2. Scopes: tick **`write:package`**
3. Copy the token
Then in your repo: **Settings → Secrets → Actions → Add Secret**
- Name: `PACKAGE_TOKEN`
- Value: the token you just copied
### 4. Set the registry URL variable
In your repo: **Settings → Variables → Actions → Add Variable**
- Name: `GITEA_URL`
- Value: `gitea.yourdomain.com` (no `https://`)
### 5. Push the repo
```bash
git remote add origin https://gitea.yourdomain.com/yourusername/fittracker.git
git push -u origin main
```
The Actions workflow (`.gitea/workflows/build.yml`) triggers automatically, builds all three images, and pushes them to your Gitea registry. Check progress under **Actions** in the Gitea UI.
### 6. Update docker-compose.deploy.yml
Before the first deploy, replace the placeholder registry URLs in `docker-compose.deploy.yml`:
```
gitea.yourdomain.com/yourusername/ → your actual Gitea host and username
```
---
## Configuration
Create a `.env` file next to `docker-compose.deploy.yml` to override any defaults:
```env
# Admin login
ADMIN_USERNAME=admin
ADMIN_PASSWORD=a_strong_password_here
# Generate with: openssl rand -hex 32
SECRET_KEY=
# Ports
HTTP_PORT=80
# Optional: Mapbox token for satellite tiles
VITE_MAPBOX_TOKEN=
# Optional: PocketID passkey auth
POCKETID_ISSUER=
POCKETID_CLIENT_ID=
POCKETID_CLIENT_SECRET=
```
Docker Compose picks up `.env` automatically.
---
## If your Gitea registry requires authentication to pull
If your Gitea instance is private, add a pull secret on the deploy machine:
```bash
docker login gitea.yourdomain.com
# enter your Gitea username and password (or a read:package token)
```
Docker stores the credentials in `~/.docker/config.json` and uses them automatically on `docker compose pull`.
---
## Repo structure
```
.gitea/workflows/build.yml ← Gitea Actions: builds & pushes images on push to main
docker-compose.yml ← dev/build compose (builds from source)
docker-compose.deploy.yml ← production compose (pulls pre-built images)
nginx.conf ← standalone nginx config for deploy compose
backend/ ← FastAPI + Celery worker
frontend/ ← React + Vite
nginx/nginx.conf ← nginx config for dev compose
docker/init.sql ← DB init (enables TimescaleDB extension)
```
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FROM python:3.12-slim
WORKDIR /app
RUN apt-get update && apt-get install -y --no-install-recommends \
curl build-essential libpq-dev \
&& rm -rf /var/lib/apt/lists/*
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
# Tables are created at runtime by SQLAlchemy in app/main.py lifespan
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "4"]
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FROM python:3.12-slim
WORKDIR /app
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential libpq-dev \
&& rm -rf /var/lib/apt/lists/*
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
CMD ["celery", "-A", "app.workers.celery_app", "worker", "--loglevel=info", "--concurrency=2"]
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from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, func, desc
from pydantic import BaseModel
from typing import Optional, List
from datetime import datetime
from app.core.database import get_db
from app.core.security import get_current_user
from app.models.user import User, Activity, ActivityDataPoint, ActivityLap
router = APIRouter()
class ActivitySummary(BaseModel):
id: int
name: str
sport_type: str
start_time: datetime
distance_m: Optional[float]
duration_s: Optional[float]
elevation_gain_m: Optional[float]
avg_heart_rate: Optional[float]
avg_cadence: Optional[float]
avg_speed_ms: Optional[float]
calories: Optional[float]
polyline: Optional[str]
bounding_box: Optional[dict]
hr_zones: Optional[dict]
named_route_id: Optional[int]
class Config:
from_attributes = True
class ActivityDetail(ActivitySummary):
end_time: Optional[datetime]
elevation_loss_m: Optional[float]
max_heart_rate: Optional[float]
avg_power: Optional[float]
normalized_power: Optional[float]
max_speed_ms: Optional[float]
avg_temperature_c: Optional[float]
training_stress_score: Optional[float]
vo2max_estimate: Optional[float]
class DataPointOut(BaseModel):
timestamp: Optional[datetime]
latitude: Optional[float]
longitude: Optional[float]
altitude_m: Optional[float]
heart_rate: Optional[float]
cadence: Optional[float]
speed_ms: Optional[float]
power: Optional[float]
temperature_c: Optional[float]
distance_m: Optional[float]
class Config:
from_attributes = True
class LapOut(BaseModel):
lap_number: int
start_time: Optional[datetime]
duration_s: Optional[float]
distance_m: Optional[float]
avg_heart_rate: Optional[float]
avg_cadence: Optional[float]
avg_speed_ms: Optional[float]
avg_power: Optional[float]
class Config:
from_attributes = True
@router.get("/", response_model=List[ActivitySummary])
async def list_activities(
page: int = Query(1, ge=1),
per_page: int = Query(20, ge=1, le=100),
sport_type: Optional[str] = None,
from_date: Optional[datetime] = None,
to_date: Optional[datetime] = None,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
q = select(Activity).where(Activity.user_id == current_user.id)
if sport_type:
q = q.where(Activity.sport_type == sport_type)
if from_date:
q = q.where(Activity.start_time >= from_date)
if to_date:
q = q.where(Activity.start_time <= to_date)
q = q.order_by(desc(Activity.start_time))
q = q.offset((page - 1) * per_page).limit(per_page)
result = await db.execute(q)
return result.scalars().all()
@router.get("/{activity_id}", response_model=ActivityDetail)
async def get_activity(
activity_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
result = await db.execute(
select(Activity).where(
Activity.id == activity_id,
Activity.user_id == current_user.id,
)
)
activity = result.scalar_one_or_none()
if not activity:
raise HTTPException(status_code=404, detail="Activity not found")
return activity
@router.get("/{activity_id}/data-points", response_model=List[DataPointOut])
async def get_data_points(
activity_id: int,
downsample: int = Query(0, ge=0, description="Return every Nth point; 0 = all"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
# Verify ownership
act = await db.execute(
select(Activity).where(
Activity.id == activity_id,
Activity.user_id == current_user.id,
)
)
if not act.scalar_one_or_none():
raise HTTPException(status_code=404, detail="Activity not found")
q = select(ActivityDataPoint).where(
ActivityDataPoint.activity_id == activity_id
).order_by(ActivityDataPoint.timestamp)
result = await db.execute(q)
points = result.scalars().all()
if downsample > 1:
points = points[::downsample]
return points
@router.get("/{activity_id}/laps", response_model=List[LapOut])
async def get_laps(
activity_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
act = await db.execute(
select(Activity).where(
Activity.id == activity_id,
Activity.user_id == current_user.id,
)
)
if not act.scalar_one_or_none():
raise HTTPException(status_code=404, detail="Activity not found")
result = await db.execute(
select(ActivityLap)
.where(ActivityLap.activity_id == activity_id)
.order_by(ActivityLap.lap_number)
)
return result.scalars().all()
@router.patch("/{activity_id}/name")
async def rename_activity(
activity_id: int,
body: dict,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
result = await db.execute(
select(Activity).where(
Activity.id == activity_id,
Activity.user_id == current_user.id,
)
)
activity = result.scalar_one_or_none()
if not activity:
raise HTTPException(status_code=404, detail="Activity not found")
activity.name = body.get("name", activity.name)
await db.commit()
return {"id": activity_id, "name": activity.name}
@router.delete("/{activity_id}", status_code=204)
async def delete_activity(
activity_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
result = await db.execute(
select(Activity).where(
Activity.id == activity_id,
Activity.user_id == current_user.id,
)
)
activity = result.scalar_one_or_none()
if not activity:
raise HTTPException(status_code=404, detail="Activity not found")
await db.delete(activity)
await db.commit()
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from fastapi import APIRouter, Depends, HTTPException, status
from fastapi.security import OAuth2PasswordRequestForm
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
from pydantic import BaseModel
from typing import Optional
import httpx
from app.core.database import get_db
from app.core.security import verify_password, create_access_token, hash_password, get_current_user
from app.core.config import settings
from app.models.user import User
router = APIRouter()
class Token(BaseModel):
access_token: str
token_type: str
user_id: int
username: str
is_admin: bool
class UserOut(BaseModel):
id: int
username: str
email: Optional[str]
is_admin: bool
class Config:
from_attributes = True
@router.post("/token", response_model=Token)
async def login(
form_data: OAuth2PasswordRequestForm = Depends(),
db: AsyncSession = Depends(get_db),
):
result = await db.execute(
select(User).where(User.username == form_data.username)
)
user = result.scalar_one_or_none()
if not user or not user.hashed_password:
raise HTTPException(status_code=400, detail="Invalid credentials")
if not verify_password(form_data.password, user.hashed_password):
raise HTTPException(status_code=400, detail="Invalid credentials")
token = create_access_token({"sub": str(user.id)})
return Token(
access_token=token,
token_type="bearer",
user_id=user.id,
username=user.username,
is_admin=user.is_admin,
)
@router.get("/me", response_model=UserOut)
async def get_me(current_user: User = Depends(get_current_user)):
return current_user
@router.get("/pocketid/available")
async def pocketid_available():
return {"available": bool(settings.pocketid_issuer and settings.pocketid_client_id)}
@router.get("/pocketid/login-url")
async def pocketid_login_url():
"""Return the OIDC authorization URL for PocketID."""
if not settings.pocketid_issuer:
raise HTTPException(status_code=404, detail="PocketID not configured")
params = {
"client_id": settings.pocketid_client_id,
"redirect_uri": "/api/auth/pocketid/callback",
"response_type": "code",
"scope": "openid profile email",
}
from urllib.parse import urlencode
url = f"{settings.pocketid_issuer}/authorize?{urlencode(params)}"
return {"url": url}
@router.get("/pocketid/callback")
async def pocketid_callback(code: str, db: AsyncSession = Depends(get_db)):
"""Exchange OIDC code for tokens and create/login user."""
if not settings.pocketid_issuer:
raise HTTPException(status_code=404, detail="PocketID not configured")
# Exchange code for tokens
async with httpx.AsyncClient() as client:
resp = await client.post(
f"{settings.pocketid_issuer}/token",
data={
"grant_type": "authorization_code",
"code": code,
"redirect_uri": "/api/auth/pocketid/callback",
"client_id": settings.pocketid_client_id,
"client_secret": settings.pocketid_client_secret,
},
)
if resp.status_code != 200:
raise HTTPException(status_code=400, detail="Token exchange failed")
tokens = resp.json()
userinfo_resp = await client.get(
f"{settings.pocketid_issuer}/userinfo",
headers={"Authorization": f"Bearer {tokens['access_token']}"},
)
userinfo = userinfo_resp.json()
sub = userinfo.get("sub")
email = userinfo.get("email")
preferred_username = userinfo.get("preferred_username") or email
result = await db.execute(select(User).where(User.pocketid_sub == sub))
user = result.scalar_one_or_none()
if not user:
user = User(
username=preferred_username,
email=email,
pocketid_sub=sub,
)
db.add(user)
await db.flush()
token = create_access_token({"sub": str(user.id)})
# Redirect to frontend with token
from fastapi.responses import RedirectResponse
return RedirectResponse(url=f"/?token={token}")
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from fastapi import APIRouter, Depends, Query
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, desc, func
from pydantic import BaseModel
from typing import Optional, List
from datetime import datetime, date
from app.core.database import get_db
from app.core.security import get_current_user
from app.models.user import User, HealthMetric
router = APIRouter()
class HealthMetricOut(BaseModel):
id: int
date: datetime
resting_hr: Optional[float]
max_hr_day: Optional[float]
avg_hr_day: Optional[float]
hrv_nightly_avg: Optional[float]
hrv_status: Optional[str]
hrv_5min_high: Optional[float]
hrv_5min_low: Optional[float]
sleep_duration_s: Optional[float]
sleep_deep_s: Optional[float]
sleep_light_s: Optional[float]
sleep_rem_s: Optional[float]
sleep_awake_s: Optional[float]
sleep_score: Optional[float]
sleep_start: Optional[datetime]
sleep_end: Optional[datetime]
weight_kg: Optional[float]
bmi: Optional[float]
body_fat_pct: Optional[float]
muscle_mass_kg: Optional[float]
vo2max: Optional[float]
fitness_age: Optional[int]
training_load: Optional[float]
recovery_time_h: Optional[float]
avg_stress: Optional[float]
steps: Optional[int]
floors_climbed: Optional[int]
active_calories: Optional[float]
total_calories: Optional[float]
spo2_avg: Optional[float]
class Config:
from_attributes = True
@router.get("/", response_model=List[HealthMetricOut])
async def list_health_metrics(
from_date: Optional[datetime] = None,
to_date: Optional[datetime] = None,
limit: int = Query(365, ge=1, le=1000),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
q = select(HealthMetric).where(HealthMetric.user_id == current_user.id)
if from_date:
q = q.where(HealthMetric.date >= from_date)
if to_date:
q = q.where(HealthMetric.date <= to_date)
q = q.order_by(desc(HealthMetric.date)).limit(limit)
result = await db.execute(q)
return result.scalars().all()
@router.get("/summary")
async def health_summary(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Latest values + 30-day averages for dashboard widgets."""
# Latest record
latest_result = await db.execute(
select(HealthMetric)
.where(HealthMetric.user_id == current_user.id)
.order_by(desc(HealthMetric.date))
.limit(1)
)
latest = latest_result.scalar_one_or_none()
# 30-day averages
from datetime import timedelta, timezone
cutoff = datetime.now(timezone.utc) - timedelta(days=30)
avg_result = await db.execute(
select(
func.avg(HealthMetric.resting_hr).label("avg_resting_hr"),
func.avg(HealthMetric.hrv_nightly_avg).label("avg_hrv"),
func.avg(HealthMetric.sleep_duration_s).label("avg_sleep_s"),
func.avg(HealthMetric.sleep_score).label("avg_sleep_score"),
func.avg(HealthMetric.avg_stress).label("avg_stress"),
func.avg(HealthMetric.steps).label("avg_steps"),
func.avg(HealthMetric.weight_kg).label("avg_weight"),
).where(
HealthMetric.user_id == current_user.id,
HealthMetric.date >= cutoff,
)
)
avgs = avg_result.one()
return {
"latest": HealthMetricOut.model_validate(latest) if latest else None,
"avg_30d": {
"resting_hr": avgs.avg_resting_hr,
"hrv": avgs.avg_hrv,
"sleep_h": (avgs.avg_sleep_s / 3600) if avgs.avg_sleep_s else None,
"sleep_score": avgs.avg_sleep_score,
"stress": avgs.avg_stress,
"steps": avgs.avg_steps,
"weight_kg": avgs.avg_weight,
},
}
@router.put("/manual")
async def add_manual_metric(
body: dict,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Manually add or update a health metric for a given date."""
from sqlalchemy.dialects.postgresql import insert as pg_insert
date_str = body.get("date")
if not date_str:
from fastapi import HTTPException
raise HTTPException(status_code=400, detail="date required")
metric_date = datetime.fromisoformat(date_str)
# Check for existing
existing = await db.execute(
select(HealthMetric).where(
HealthMetric.user_id == current_user.id,
func.date(HealthMetric.date) == metric_date.date(),
)
)
metric = existing.scalar_one_or_none()
if metric:
for key, val in body.items():
if hasattr(metric, key) and key not in ("id", "user_id"):
setattr(metric, key, val)
else:
metric = HealthMetric(user_id=current_user.id, date=metric_date, **{
k: v for k, v in body.items()
if hasattr(HealthMetric, k) and k not in ("id", "user_id")
})
db.add(metric)
await db.commit()
return {"status": "ok"}
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from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, desc
from pydantic import BaseModel
from typing import Optional, List
from datetime import datetime
from app.core.database import get_db
from app.core.security import get_current_user
from app.models.user import User, PersonalRecord, NamedRoute, RouteSegment, HealthMetric, Activity
router = APIRouter()
# ─── Personal Records ────────────────────────────────────────────────────────
class PROut(BaseModel):
id: int
sport_type: str
distance_m: float
distance_label: str
duration_s: float
achieved_at: datetime
activity_id: int
class Config:
from_attributes = True
@router.get("/", response_model=List[PROut])
async def list_records(
sport_type: Optional[str] = None,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
q = select(PersonalRecord).where(
PersonalRecord.user_id == current_user.id,
PersonalRecord.is_current_record == True,
)
if sport_type:
q = q.where(PersonalRecord.sport_type == sport_type)
q = q.order_by(PersonalRecord.distance_m)
result = await db.execute(q)
return result.scalars().all()
@router.get("/history/{distance_label}")
async def record_history(
distance_label: str,
sport_type: str = "running",
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Show progression of a PR over time."""
result = await db.execute(
select(PersonalRecord).where(
PersonalRecord.user_id == current_user.id,
PersonalRecord.sport_type == sport_type,
PersonalRecord.distance_label == distance_label,
).order_by(PersonalRecord.achieved_at)
)
return result.scalars().all()
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from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, desc
from pydantic import BaseModel
from typing import Optional, List
from datetime import datetime
from app.core.database import get_db
from app.core.security import get_current_user
from app.models.user import User, NamedRoute, RouteSegment, Activity
router = APIRouter()
class SegmentCreate(BaseModel):
name: str
start_distance_m: float
end_distance_m: float
description: Optional[str] = None
class RouteCreate(BaseModel):
name: str
description: Optional[str] = None
sport_type: Optional[str] = None
activity_id: int # use this activity as the reference route
class RouteOut(BaseModel):
id: int
name: str
description: Optional[str]
sport_type: Optional[str]
reference_polyline: Optional[str]
bounding_box: Optional[dict]
distance_m: Optional[float]
created_at: datetime
class Config:
from_attributes = True
class SegmentOut(BaseModel):
id: int
name: str
start_distance_m: float
end_distance_m: float
description: Optional[str]
class Config:
from_attributes = True
@router.get("/", response_model=List[RouteOut])
async def list_routes(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
result = await db.execute(
select(NamedRoute)
.where(NamedRoute.user_id == current_user.id)
.order_by(desc(NamedRoute.created_at))
)
return result.scalars().all()
@router.post("/", response_model=RouteOut)
async def create_route(
body: RouteCreate,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
# Load the reference activity
act_result = await db.execute(
select(Activity).where(
Activity.id == body.activity_id,
Activity.user_id == current_user.id,
)
)
activity = act_result.scalar_one_or_none()
if not activity:
raise HTTPException(status_code=404, detail="Activity not found")
route = NamedRoute(
user_id=current_user.id,
name=body.name,
description=body.description,
sport_type=body.sport_type or activity.sport_type,
reference_polyline=activity.polyline,
bounding_box=activity.bounding_box,
distance_m=activity.distance_m,
)
db.add(route)
await db.flush()
# Link this activity to the route
activity.named_route_id = route.id
await db.commit()
await db.refresh(route)
return route
@router.get("/{route_id}", response_model=RouteOut)
async def get_route(
route_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
result = await db.execute(
select(NamedRoute).where(
NamedRoute.id == route_id,
NamedRoute.user_id == current_user.id,
)
)
route = result.scalar_one_or_none()
if not route:
raise HTTPException(status_code=404, detail="Route not found")
return route
@router.get("/{route_id}/activities")
async def route_activities(
route_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""All activities on this named route, ordered fastest first."""
result = await db.execute(
select(Activity).where(
Activity.named_route_id == route_id,
Activity.user_id == current_user.id,
).order_by(Activity.duration_s)
)
activities = result.scalars().all()
return [
{
"id": a.id,
"name": a.name,
"start_time": a.start_time,
"duration_s": a.duration_s,
"distance_m": a.distance_m,
"avg_heart_rate": a.avg_heart_rate,
"avg_speed_ms": a.avg_speed_ms,
}
for a in activities
]
@router.post("/{route_id}/assign-activity")
async def assign_activity_to_route(
route_id: int,
body: dict,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Manually assign an activity to a named route."""
activity_id = body.get("activity_id")
act_result = await db.execute(
select(Activity).where(
Activity.id == activity_id,
Activity.user_id == current_user.id,
)
)
activity = act_result.scalar_one_or_none()
if not activity:
raise HTTPException(status_code=404, detail="Activity not found")
activity.named_route_id = route_id
await db.commit()
return {"status": "ok"}
@router.get("/{route_id}/segments", response_model=List[SegmentOut])
async def list_segments(
route_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
result = await db.execute(
select(RouteSegment)
.where(RouteSegment.route_id == route_id)
.order_by(RouteSegment.start_distance_m)
)
return result.scalars().all()
@router.post("/{route_id}/segments", response_model=SegmentOut)
async def create_segment(
route_id: int,
body: SegmentCreate,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
segment = RouteSegment(
route_id=route_id,
name=body.name,
start_distance_m=body.start_distance_m,
end_distance_m=body.end_distance_m,
description=body.description,
)
db.add(segment)
await db.commit()
await db.refresh(segment)
return segment
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import os
import shutil
import zipfile
from pathlib import Path
from fastapi import APIRouter, Depends, UploadFile, File, HTTPException, BackgroundTasks
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.database import get_db
from app.core.security import get_current_user
from app.core.config import settings
from app.models.user import User
from app.workers.tasks import process_activity_file, process_garmin_health_zip
router = APIRouter()
ALLOWED_EXTENSIONS = {".fit", ".gpx", ".zip"}
MAX_FILE_SIZE = 500 * 1024 * 1024 # 500 MB
def save_upload(upload: UploadFile, dest_dir: Path) -> Path:
dest_dir.mkdir(parents=True, exist_ok=True)
dest = dest_dir / upload.filename
with open(dest, "wb") as f:
shutil.copyfileobj(upload.file, f)
return dest
@router.post("/activity")
async def upload_activity(
file: UploadFile = File(...),
background_tasks: BackgroundTasks = None,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Upload a single .fit or .gpx activity file."""
suffix = Path(file.filename).suffix.lower()
if suffix not in {".fit", ".gpx"}:
raise HTTPException(status_code=400, detail="Only .fit and .gpx files are supported")
dest_dir = Path(settings.file_store_path) / str(current_user.id) / "activities"
dest = save_upload(file, dest_dir)
# Queue processing
task = process_activity_file.delay(str(dest), current_user.id, suffix[1:])
return {"task_id": task.id, "status": "queued", "filename": file.filename}
@router.post("/garmin-export")
async def upload_garmin_export(
file: UploadFile = File(...),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""
Upload a full Garmin Connect data export ZIP.
Processes all FIT files for activities + wellness data.
"""
if not file.filename.endswith(".zip"):
raise HTTPException(status_code=400, detail="Please upload a .zip Garmin export")
dest_dir = Path(settings.file_store_path) / str(current_user.id) / "exports"
dest = save_upload(file, dest_dir)
# Extract and queue all FIT files
extract_dir = dest_dir / f"garmin_{dest.stem}"
extract_dir.mkdir(exist_ok=True)
task_ids = []
with zipfile.ZipFile(dest) as zf:
zf.extractall(extract_dir)
for name in zf.namelist():
lower = name.lower()
if lower.endswith(".fit"):
fit_path = extract_dir / name
task = process_activity_file.delay(str(fit_path), current_user.id, "fit")
task_ids.append(task.id)
# Queue health/wellness data extraction
health_task = process_garmin_health_zip.delay(str(dest), current_user.id)
return {
"status": "queued",
"activity_tasks": len(task_ids),
"health_task": health_task.id,
}
@router.post("/strava-export")
async def upload_strava_export(
file: UploadFile = File(...),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Upload a Strava bulk export ZIP (contains activities/ folder with GPX/FIT files)."""
if not file.filename.endswith(".zip"):
raise HTTPException(status_code=400, detail="Please upload a .zip Strava export")
dest_dir = Path(settings.file_store_path) / str(current_user.id) / "exports"
dest = save_upload(file, dest_dir)
extract_dir = dest_dir / f"strava_{dest.stem}"
extract_dir.mkdir(exist_ok=True)
task_ids = []
with zipfile.ZipFile(dest) as zf:
zf.extractall(extract_dir)
for name in zf.namelist():
lower = name.lower()
if lower.endswith(".fit") or lower.endswith(".gpx"):
file_path = extract_dir / name
ext = Path(name).suffix[1:]
task = process_activity_file.delay(str(file_path), current_user.id, ext)
task_ids.append(task.id)
return {
"status": "queued",
"activity_tasks": len(task_ids),
}
@router.get("/task/{task_id}")
async def check_task_status(
task_id: str,
current_user: User = Depends(get_current_user),
):
"""Check the status of an upload processing task."""
from app.workers.celery_app import celery_app
result = celery_app.AsyncResult(task_id)
return {
"task_id": task_id,
"status": result.status,
"result": result.result if result.ready() else None,
}
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from pydantic_settings import BaseSettings
from pydantic import Field
from typing import Optional
class Settings(BaseSettings):
# Database
database_url: str = Field(..., env="DATABASE_URL")
# Redis
redis_url: str = Field("redis://localhost:6379/0", env="REDIS_URL")
# Auth
secret_key: str = Field(..., env="SECRET_KEY")
algorithm: str = "HS256"
access_token_expire_minutes: int = 60 * 24 * 7 # 7 days
# Admin account
admin_username: str = Field("admin", env="ADMIN_USERNAME")
admin_password: str = Field(..., env="ADMIN_PASSWORD")
# PocketID OIDC (optional)
pocketid_issuer: Optional[str] = Field(None, env="POCKETID_ISSUER")
pocketid_client_id: Optional[str] = Field(None, env="POCKETID_CLIENT_ID")
pocketid_client_secret: Optional[str] = Field(None, env="POCKETID_CLIENT_SECRET")
# Files
file_store_path: str = Field("/data/files", env="FILE_STORE_PATH")
# Environment
environment: str = Field("production", env="ENVIRONMENT")
class Config:
env_file = ".env"
case_sensitive = False
settings = Settings()
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from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker
from sqlalchemy.orm import DeclarativeBase
from app.core.config import settings
engine = create_async_engine(
settings.database_url,
echo=settings.environment == "development",
pool_size=10,
max_overflow=20,
)
AsyncSessionLocal = async_sessionmaker(
engine,
class_=AsyncSession,
expire_on_commit=False,
)
class Base(DeclarativeBase):
pass
async def get_db():
async with AsyncSessionLocal() as session:
try:
yield session
await session.commit()
except Exception:
await session.rollback()
raise
finally:
await session.close()
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from datetime import datetime, timedelta, timezone
from typing import Optional
from jose import JWTError, jwt
from passlib.context import CryptContext
from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
from app.core.config import settings
from app.core.database import get_db
from app.models.user import User
pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/api/auth/token")
def verify_password(plain: str, hashed: str) -> bool:
return pwd_context.verify(plain, hashed)
def hash_password(password: str) -> str:
return pwd_context.hash(password)
def create_access_token(data: dict, expires_delta: Optional[timedelta] = None) -> str:
to_encode = data.copy()
expire = datetime.now(timezone.utc) + (
expires_delta or timedelta(minutes=settings.access_token_expire_minutes)
)
to_encode["exp"] = expire
return jwt.encode(to_encode, settings.secret_key, algorithm=settings.algorithm)
async def get_current_user(
token: str = Depends(oauth2_scheme),
db: AsyncSession = Depends(get_db),
) -> User:
credentials_exception = HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Could not validate credentials",
headers={"WWW-Authenticate": "Bearer"},
)
try:
payload = jwt.decode(token, settings.secret_key, algorithms=[settings.algorithm])
user_id: str = payload.get("sub")
if user_id is None:
raise credentials_exception
except JWTError:
raise credentials_exception
result = await db.execute(select(User).where(User.id == int(user_id)))
user = result.scalar_one_or_none()
if user is None:
raise credentials_exception
return user
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from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager
from sqlalchemy import text
from app.core.database import engine, AsyncSessionLocal, Base
from app.core.config import settings
from app.api import auth, activities, routes, health, records, upload
@asynccontextmanager
async def lifespan(app: FastAPI):
# Create tables
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
# Try to enable TimescaleDB hypertable for data points
try:
await conn.execute(text(
"SELECT create_hypertable('activity_data_points', 'timestamp', "
"if_not_exists => TRUE, migrate_data => TRUE)"
))
except Exception:
pass # Already exists or TimescaleDB not available
# Seed admin user
async with AsyncSessionLocal() as db:
from sqlalchemy import select
from app.models.user import User
from app.core.security import hash_password
result = await db.execute(
select(User).where(User.username == settings.admin_username)
)
if not result.scalar_one_or_none():
admin = User(
username=settings.admin_username,
hashed_password=hash_password(settings.admin_password),
is_admin=True,
)
db.add(admin)
await db.commit()
yield
app = FastAPI(
title="FitTracker",
version="1.0.0",
lifespan=lifespan,
)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"] if settings.environment == "development" else [],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.include_router(auth.router, prefix="/api/auth", tags=["auth"])
app.include_router(activities.router, prefix="/api/activities", tags=["activities"])
app.include_router(routes.router, prefix="/api/routes", tags=["routes"])
app.include_router(health.router, prefix="/api/health-metrics", tags=["health"])
app.include_router(records.router, prefix="/api/records", tags=["records"])
app.include_router(upload.router, prefix="/api/upload", tags=["upload"])
@app.get("/health")
async def healthcheck():
return {"status": "ok"}
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from sqlalchemy import (
Column, Integer, String, Float, DateTime, Boolean,
ForeignKey, Text, JSON, Index, UniqueConstraint
)
from sqlalchemy.orm import relationship
from datetime import datetime, timezone
from app.core.database import Base
def now_utc():
return datetime.now(timezone.utc)
class User(Base):
__tablename__ = "users"
id = Column(Integer, primary_key=True)
username = Column(String(64), unique=True, nullable=False, index=True)
email = Column(String(256), unique=True, nullable=True)
hashed_password = Column(String(256), nullable=True) # null = OIDC-only user
is_admin = Column(Boolean, default=False)
pocketid_sub = Column(String(256), unique=True, nullable=True)
created_at = Column(DateTime(timezone=True), default=now_utc)
activities = relationship("Activity", back_populates="user", cascade="all, delete-orphan")
health_metrics = relationship("HealthMetric", back_populates="user", cascade="all, delete-orphan")
named_routes = relationship("NamedRoute", back_populates="user", cascade="all, delete-orphan")
class Activity(Base):
__tablename__ = "activities"
id = Column(Integer, primary_key=True)
user_id = Column(Integer, ForeignKey("users.id"), nullable=False, index=True)
# Core fields
name = Column(String(256), nullable=False)
sport_type = Column(String(64), nullable=False) # running, cycling, swimming, etc.
start_time = Column(DateTime(timezone=True), nullable=False, index=True)
end_time = Column(DateTime(timezone=True), nullable=True)
# Metrics summary (cached aggregates)
distance_m = Column(Float, nullable=True) # metres
duration_s = Column(Float, nullable=True) # seconds
elevation_gain_m = Column(Float, nullable=True)
elevation_loss_m = Column(Float, nullable=True)
avg_heart_rate = Column(Float, nullable=True)
max_heart_rate = Column(Float, nullable=True)
avg_cadence = Column(Float, nullable=True)
avg_power = Column(Float, nullable=True)
normalized_power = Column(Float, nullable=True)
avg_speed_ms = Column(Float, nullable=True)
max_speed_ms = Column(Float, nullable=True)
avg_temperature_c = Column(Float, nullable=True)
calories = Column(Float, nullable=True)
training_stress_score = Column(Float, nullable=True)
vo2max_estimate = Column(Float, nullable=True)
# Route reference
named_route_id = Column(Integer, ForeignKey("named_routes.id"), nullable=True)
# Raw GPS track (encoded polyline for quick map render)
polyline = Column(Text, nullable=True)
bounding_box = Column(JSON, nullable=True) # {min_lat, max_lat, min_lon, max_lon}
# Source file info
source_file = Column(String(512), nullable=True)
source_type = Column(String(32), nullable=True) # fit, gpx, strava_json
garmin_activity_id = Column(String(64), nullable=True, unique=True)
strava_activity_id = Column(String(64), nullable=True, unique=True)
# HR zones (% of time in each zone)
hr_zones = Column(JSON, nullable=True) # {z1: pct, z2: pct, ...}
created_at = Column(DateTime(timezone=True), default=now_utc)
user = relationship("User", back_populates="activities")
data_points = relationship("ActivityDataPoint", back_populates="activity", cascade="all, delete-orphan")
named_route = relationship("NamedRoute", back_populates="activities")
laps = relationship("ActivityLap", back_populates="activity", cascade="all, delete-orphan")
class ActivityDataPoint(Base):
"""
TimescaleDB hypertable - one row per second of activity data.
After creation, converted to hypertable in migration:
SELECT create_hypertable('activity_data_points', 'timestamp');
"""
__tablename__ = "activity_data_points"
id = Column(Integer, primary_key=True)
activity_id = Column(Integer, ForeignKey("activities.id"), nullable=False, index=True)
timestamp = Column(DateTime(timezone=True), nullable=False)
latitude = Column(Float, nullable=True)
longitude = Column(Float, nullable=True)
altitude_m = Column(Float, nullable=True)
heart_rate = Column(Float, nullable=True)
cadence = Column(Float, nullable=True)
speed_ms = Column(Float, nullable=True)
power = Column(Float, nullable=True)
temperature_c = Column(Float, nullable=True)
distance_m = Column(Float, nullable=True) # cumulative distance
__table_args__ = (
Index("ix_adp_activity_time", "activity_id", "timestamp"),
)
activity = relationship("Activity", back_populates="data_points")
class ActivityLap(Base):
__tablename__ = "activity_laps"
id = Column(Integer, primary_key=True)
activity_id = Column(Integer, ForeignKey("activities.id"), nullable=False, index=True)
lap_number = Column(Integer, nullable=False)
start_time = Column(DateTime(timezone=True), nullable=True)
duration_s = Column(Float, nullable=True)
distance_m = Column(Float, nullable=True)
avg_heart_rate = Column(Float, nullable=True)
avg_cadence = Column(Float, nullable=True)
avg_speed_ms = Column(Float, nullable=True)
avg_power = Column(Float, nullable=True)
activity = relationship("Activity", back_populates="laps")
class NamedRoute(Base):
__tablename__ = "named_routes"
id = Column(Integer, primary_key=True)
user_id = Column(Integer, ForeignKey("users.id"), nullable=False, index=True)
name = Column(String(256), nullable=False)
description = Column(Text, nullable=True)
sport_type = Column(String(64), nullable=True)
reference_polyline = Column(Text, nullable=True) # canonical route polyline
bounding_box = Column(JSON, nullable=True)
distance_m = Column(Float, nullable=True)
created_at = Column(DateTime(timezone=True), default=now_utc)
user = relationship("User", back_populates="named_routes")
activities = relationship("Activity", back_populates="named_route")
segments = relationship("RouteSegment", back_populates="route", cascade="all, delete-orphan")
class RouteSegment(Base):
"""Named sections within a route for targeted comparisons (e.g. 'The big hill')"""
__tablename__ = "route_segments"
id = Column(Integer, primary_key=True)
route_id = Column(Integer, ForeignKey("named_routes.id"), nullable=False, index=True)
name = Column(String(256), nullable=False)
start_distance_m = Column(Float, nullable=False) # distance into route where segment starts
end_distance_m = Column(Float, nullable=False)
description = Column(Text, nullable=True)
route = relationship("NamedRoute", back_populates="segments")
class PersonalRecord(Base):
__tablename__ = "personal_records"
id = Column(Integer, primary_key=True)
user_id = Column(Integer, ForeignKey("users.id"), nullable=False, index=True)
activity_id = Column(Integer, ForeignKey("activities.id"), nullable=False)
sport_type = Column(String(64), nullable=False)
distance_m = Column(Float, nullable=False) # e.g. 1000, 1609, 5000, 10000, 42195
distance_label = Column(String(32), nullable=False) # e.g. "1k", "1 mile", "5k"
duration_s = Column(Float, nullable=False)
achieved_at = Column(DateTime(timezone=True), nullable=False)
is_current_record = Column(Boolean, default=True)
__table_args__ = (
UniqueConstraint("user_id", "sport_type", "distance_m", "is_current_record",
name="uq_pr_current"),
)
class HealthMetric(Base):
"""Daily health summary metrics from Garmin Connect / FIT wellness data"""
__tablename__ = "health_metrics"
id = Column(Integer, primary_key=True)
user_id = Column(Integer, ForeignKey("users.id"), nullable=False, index=True)
date = Column(DateTime(timezone=True), nullable=False)
# Heart rate
resting_hr = Column(Float, nullable=True)
max_hr_day = Column(Float, nullable=True)
avg_hr_day = Column(Float, nullable=True)
# HRV
hrv_status = Column(String(32), nullable=True) # balanced, unbalanced, etc.
hrv_nightly_avg = Column(Float, nullable=True)
hrv_5min_high = Column(Float, nullable=True)
hrv_5min_low = Column(Float, nullable=True)
# Sleep
sleep_duration_s = Column(Float, nullable=True)
sleep_deep_s = Column(Float, nullable=True)
sleep_light_s = Column(Float, nullable=True)
sleep_rem_s = Column(Float, nullable=True)
sleep_awake_s = Column(Float, nullable=True)
sleep_score = Column(Float, nullable=True)
sleep_start = Column(DateTime(timezone=True), nullable=True)
sleep_end = Column(DateTime(timezone=True), nullable=True)
# Body composition
weight_kg = Column(Float, nullable=True)
bmi = Column(Float, nullable=True)
body_fat_pct = Column(Float, nullable=True)
muscle_mass_kg = Column(Float, nullable=True)
# Fitness
vo2max = Column(Float, nullable=True)
fitness_age = Column(Integer, nullable=True)
training_load = Column(Float, nullable=True)
recovery_time_h = Column(Float, nullable=True)
# Stress & activity
avg_stress = Column(Float, nullable=True)
steps = Column(Integer, nullable=True)
floors_climbed = Column(Integer, nullable=True)
active_calories = Column(Float, nullable=True)
total_calories = Column(Float, nullable=True)
spo2_avg = Column(Float, nullable=True)
__table_args__ = (
UniqueConstraint("user_id", "date", name="uq_health_user_date"),
Index("ix_health_user_date", "user_id", "date"),
)
user = relationship("User", back_populates="health_metrics")
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"""
Parses Garmin .fit files and GPX files into normalized activity data.
Handles full Strava and Garmin data export archives.
"""
import os
import zipfile
import json
import math
from pathlib import Path
from datetime import datetime, timezone
from typing import Optional
import fitparse
import gpxpy
import polyline as polyline_lib
def haversine_distance(lat1, lon1, lat2, lon2) -> float:
"""Returns distance in metres between two GPS points."""
R = 6371000
phi1, phi2 = math.radians(lat1), math.radians(lat2)
dphi = math.radians(lat2 - lat1)
dlam = math.radians(lon2 - lon1)
a = math.sin(dphi/2)**2 + math.cos(phi1)*math.cos(phi2)*math.sin(dlam/2)**2
return 2 * R * math.asin(math.sqrt(a))
def semicircles_to_degrees(sc: int) -> float:
return sc * (180 / 2**31)
def parse_fit_file(filepath: str) -> dict:
"""Parse a Garmin .fit file and return normalized activity dict."""
fit = fitparse.FitFile(filepath)
data_points = []
laps = []
session = {}
for record in fit.get_messages():
name = record.name
if name == "session":
for f in record:
session[f.name] = f.value
elif name == "lap":
lap = {}
for f in record:
lap[f.name] = f.value
laps.append(lap)
elif name == "record":
point = {}
for f in record:
point[f.name] = f.value
if point:
# Convert semicircles to degrees
if "position_lat" in point and point["position_lat"] is not None:
point["position_lat"] = semicircles_to_degrees(point["position_lat"])
if "position_long" in point and point["position_long"] is not None:
point["position_long"] = semicircles_to_degrees(point["position_long"])
data_points.append(point)
# Build normalized output
sport = str(session.get("sport", "generic")).lower()
sport_map = {
"running": "running", "cycling": "cycling", "swimming": "swimming",
"hiking": "hiking", "walking": "walking", "generic": "other",
"open_water_swimming": "swimming", "trail_running": "running",
}
sport_type = sport_map.get(sport, sport)
start_time = session.get("start_time")
if start_time and start_time.tzinfo is None:
start_time = start_time.replace(tzinfo=timezone.utc)
# Build GPS track for polyline
coords = [
(p["position_lat"], p["position_long"])
for p in data_points
if p.get("position_lat") is not None and p.get("position_long") is not None
]
encoded_polyline = polyline_lib.encode(coords) if coords else None
bounding_box = _bounding_box(coords)
# Calculate cumulative distance if not in FIT
cumulative_dist = 0.0
prev_lat, prev_lon = None, None
normalized_points = []
for p in data_points:
ts = p.get("timestamp")
if ts and ts.tzinfo is None:
ts = ts.replace(tzinfo=timezone.utc)
lat = p.get("position_lat")
lon = p.get("position_long")
dist = p.get("distance")
if dist is None and lat and lon and prev_lat and prev_lon:
cumulative_dist += haversine_distance(prev_lat, prev_lon, lat, lon)
dist = cumulative_dist
elif dist is not None:
cumulative_dist = float(dist)
if lat and lon:
prev_lat, prev_lon = lat, lon
normalized_points.append({
"timestamp": ts.isoformat() if ts else None,
"latitude": lat,
"longitude": lon,
"altitude_m": p.get("altitude"),
"heart_rate": p.get("heart_rate"),
"cadence": p.get("cadence"),
"speed_ms": p.get("speed"),
"power": p.get("power"),
"temperature_c": p.get("temperature"),
"distance_m": dist,
})
# Parse laps
normalized_laps = []
for i, lap in enumerate(laps):
ls = lap.get("start_time")
if ls and ls.tzinfo is None:
ls = ls.replace(tzinfo=timezone.utc)
normalized_laps.append({
"lap_number": i + 1,
"start_time": ls.isoformat() if ls else None,
"duration_s": _safe_float(lap.get("total_elapsed_time")),
"distance_m": _safe_float(lap.get("total_distance")),
"avg_heart_rate": _safe_float(lap.get("avg_heart_rate")),
"avg_cadence": _safe_float(lap.get("avg_cadence")),
"avg_speed_ms": _safe_float(lap.get("avg_speed")),
"avg_power": _safe_float(lap.get("avg_power")),
})
return {
"name": session.get("sport", "Activity").title() + " " + (
start_time.strftime("%Y-%m-%d") if start_time else ""),
"sport_type": sport_type,
"start_time": start_time.isoformat() if start_time else None,
"distance_m": _safe_float(session.get("total_distance")),
"duration_s": _safe_float(session.get("total_elapsed_time")),
"elevation_gain_m": _safe_float(session.get("total_ascent")),
"elevation_loss_m": _safe_float(session.get("total_descent")),
"avg_heart_rate": _safe_float(session.get("avg_heart_rate")),
"max_heart_rate": _safe_float(session.get("max_heart_rate")),
"avg_cadence": _safe_float(session.get("avg_cadence")),
"avg_power": _safe_float(session.get("avg_power")),
"normalized_power": _safe_float(session.get("normalized_power")),
"avg_speed_ms": _safe_float(session.get("avg_speed")),
"max_speed_ms": _safe_float(session.get("max_speed")),
"avg_temperature_c": _safe_float(session.get("avg_temperature")),
"calories": _safe_float(session.get("total_calories")),
"training_stress_score": _safe_float(session.get("training_stress_score")),
"vo2max_estimate": _safe_float(session.get("estimated_sweat_loss")), # varies by device
"polyline": encoded_polyline,
"bounding_box": bounding_box,
"source_type": "fit",
"data_points": normalized_points,
"laps": normalized_laps,
}
def parse_gpx_file(filepath: str) -> dict:
"""Parse a GPX file into normalized activity dict."""
with open(filepath) as f:
gpx = gpxpy.parse(f)
data_points = []
track = gpx.tracks[0] if gpx.tracks else None
if not track:
raise ValueError("No tracks found in GPX file")
for segment in track.segments:
for pt in segment.points:
ts = pt.time
if ts and ts.tzinfo is None:
ts = ts.replace(tzinfo=timezone.utc)
extensions = {}
if pt.extensions:
for ext in pt.extensions:
for child in ext:
tag = child.tag.split("}")[-1] if "}" in child.tag else child.tag
try:
extensions[tag] = float(child.text)
except (ValueError, TypeError):
pass
data_points.append({
"timestamp": ts.isoformat() if ts else None,
"latitude": pt.latitude,
"longitude": pt.longitude,
"altitude_m": pt.elevation,
"heart_rate": extensions.get("hr"),
"cadence": extensions.get("cad"),
"speed_ms": extensions.get("speed"),
"power": extensions.get("power"),
"temperature_c": extensions.get("temp") or extensions.get("atemp"),
"distance_m": None,
})
# Calculate distance and elevation
coords = [(p["latitude"], p["longitude"]) for p in data_points
if p["latitude"] and p["longitude"]]
encoded_polyline = polyline_lib.encode(coords) if coords else None
bounding_box = _bounding_box(coords)
# Add cumulative distance
total_dist = 0.0
prev = None
for p in data_points:
if p["latitude"] and p["longitude"]:
if prev:
total_dist += haversine_distance(prev[0], prev[1], p["latitude"], p["longitude"])
prev = (p["latitude"], p["longitude"])
p["distance_m"] = total_dist
uphill, downhill = 0.0, 0.0
alts = [p["altitude_m"] for p in data_points if p["altitude_m"]]
for i in range(1, len(alts)):
diff = alts[i] - alts[i-1]
if diff > 0:
uphill += diff
else:
downhill += abs(diff)
hrs = [p["heart_rate"] for p in data_points if p["heart_rate"]]
start_time_str = data_points[0]["timestamp"] if data_points else None
start_dt = datetime.fromisoformat(start_time_str) if start_time_str else None
end_dt = datetime.fromisoformat(data_points[-1]["timestamp"]) if data_points else None
duration = (end_dt - start_dt).total_seconds() if (start_dt and end_dt) else None
sport = "running" # GPX doesn't always include sport; default to running
if track.type:
sport = track.type.lower()
return {
"name": track.name or gpx.name or f"Activity {start_dt.date() if start_dt else ''}",
"sport_type": sport,
"start_time": start_time_str,
"distance_m": total_dist,
"duration_s": duration,
"elevation_gain_m": uphill,
"elevation_loss_m": downhill,
"avg_heart_rate": (sum(hrs) / len(hrs)) if hrs else None,
"max_heart_rate": max(hrs) if hrs else None,
"avg_cadence": None,
"avg_power": None,
"normalized_power": None,
"avg_speed_ms": (total_dist / duration) if (total_dist and duration) else None,
"max_speed_ms": None,
"avg_temperature_c": None,
"calories": None,
"training_stress_score": None,
"vo2max_estimate": None,
"polyline": encoded_polyline,
"bounding_box": bounding_box,
"source_type": "gpx",
"data_points": data_points,
"laps": [],
}
def parse_strava_export(export_dir: str) -> list[dict]:
"""
Parse a full Strava data export directory.
Structure: activities.csv + activities/ folder with .gpx/.fit.gz files
"""
activities = []
activities_dir = Path(export_dir) / "activities"
if not activities_dir.exists():
return activities
for fname in sorted(activities_dir.iterdir()):
if fname.suffix in (".fit", ".gpx"):
try:
if fname.suffix == ".fit":
act = parse_fit_file(str(fname))
else:
act = parse_gpx_file(str(fname))
act["source_type"] = "strava_" + fname.suffix[1:]
activities.append(act)
except Exception as e:
print(f"Error parsing {fname}: {e}")
return activities
def calculate_hr_zones(data_points: list[dict], max_hr: float) -> dict:
"""Calculate percentage of time spent in each HR zone."""
if not max_hr:
return {}
zones = {"z1": 0, "z2": 0, "z3": 0, "z4": 0, "z5": 0}
zone_bounds = [0.5, 0.6, 0.7, 0.8, 0.9, 1.0]
total = 0
for p in data_points:
hr = p.get("heart_rate")
if not hr:
continue
pct = hr / max_hr
total += 1
if pct < zone_bounds[1]:
zones["z1"] += 1
elif pct < zone_bounds[2]:
zones["z2"] += 1
elif pct < zone_bounds[3]:
zones["z3"] += 1
elif pct < zone_bounds[4]:
zones["z4"] += 1
else:
zones["z5"] += 1
if total:
return {k: round(v / total * 100, 1) for k, v in zones.items()}
return {}
def _safe_float(val) -> Optional[float]:
try:
return float(val) if val is not None else None
except (TypeError, ValueError):
return None
def _bounding_box(coords: list[tuple]) -> Optional[dict]:
if not coords:
return None
lats = [c[0] for c in coords]
lons = [c[1] for c in coords]
return {
"min_lat": min(lats), "max_lat": max(lats),
"min_lon": min(lons), "max_lon": max(lons),
}
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"""
Route matching: identifies when multiple activities were on the same route.
Uses a bounding-box pre-filter + dynamic time warping (DTW) for GPS track similarity.
"""
import math
from typing import Optional
import polyline as polyline_lib
import numpy as np
def decode_polyline_to_coords(encoded: str) -> list[tuple[float, float]]:
return polyline_lib.decode(encoded)
def bounding_boxes_overlap(bb1: dict, bb2: dict, tolerance_deg: float = 0.005) -> bool:
"""Quick check: do two bounding boxes overlap (with a tolerance margin)?"""
return (
bb1["min_lat"] - tolerance_deg <= bb2["max_lat"] + tolerance_deg and
bb1["max_lat"] + tolerance_deg >= bb2["min_lat"] - tolerance_deg and
bb1["min_lon"] - tolerance_deg <= bb2["max_lon"] + tolerance_deg and
bb1["max_lon"] + tolerance_deg >= bb2["min_lon"] - tolerance_deg
)
def sample_coords(coords: list[tuple], n: int = 100) -> list[tuple]:
"""Downsample a track to n evenly-spaced points for DTW efficiency."""
if len(coords) <= n:
return coords
indices = [int(i * (len(coords) - 1) / (n - 1)) for i in range(n)]
return [coords[i] for i in indices]
def dtw_distance(track1: list[tuple], track2: list[tuple]) -> float:
"""
Compute DTW distance between two GPS tracks.
Each point is (lat, lon). Returns average distance in metres per matched pair.
"""
n, m = len(track1), len(track2)
dtw = np.full((n + 1, m + 1), np.inf)
dtw[0][0] = 0.0
for i in range(1, n + 1):
for j in range(1, m + 1):
cost = haversine_m(track1[i-1], track2[j-1])
dtw[i][j] = cost + min(dtw[i-1][j], dtw[i][j-1], dtw[i-1][j-1])
return dtw[n][m] / max(n, m)
def haversine_m(p1: tuple, p2: tuple) -> float:
R = 6371000
lat1, lon1 = math.radians(p1[0]), math.radians(p1[1])
lat2, lon2 = math.radians(p2[0]), math.radians(p2[1])
dlat = lat2 - lat1
dlon = lon2 - lon1
a = math.sin(dlat/2)**2 + math.cos(lat1)*math.cos(lat2)*math.sin(dlon/2)**2
return 2 * R * math.asin(math.sqrt(a))
def routes_are_similar(
poly1: str,
poly2: str,
bb1: Optional[dict],
bb2: Optional[dict],
dtw_threshold_m: float = 80.0,
) -> bool:
"""
Returns True if two activities are on sufficiently similar routes.
First does a cheap bounding box check, then DTW on downsampled tracks.
"""
if bb1 and bb2:
if not bounding_boxes_overlap(bb1, bb2):
return False
try:
coords1 = sample_coords(decode_polyline_to_coords(poly1), 60)
coords2 = sample_coords(decode_polyline_to_coords(poly2), 60)
except Exception:
return False
if not coords1 or not coords2:
return False
dist = dtw_distance(coords1, coords2)
return dist < dtw_threshold_m
def find_segment_times(
data_points: list[dict],
start_dist_m: float,
end_dist_m: float,
) -> Optional[float]:
"""
Given activity data points (with cumulative distance_m),
find the time to traverse from start_dist_m to end_dist_m.
Returns duration in seconds, or None if not found.
"""
start_time = None
end_time = None
for p in data_points:
dist = p.get("distance_m")
ts = p.get("timestamp")
if dist is None or ts is None:
continue
if start_time is None and dist >= start_dist_m:
start_time = ts
if start_time is not None and dist >= end_dist_m:
end_time = ts
break
if start_time and end_time:
from datetime import datetime
t1 = datetime.fromisoformat(start_time) if isinstance(start_time, str) else start_time
t2 = datetime.fromisoformat(end_time) if isinstance(end_time, str) else end_time
return (t2 - t1).total_seconds()
return None
def find_best_split_time(
data_points: list[dict],
target_distance_m: float,
) -> Optional[float]:
"""
Find the best (fastest) time over any target_distance_m window within an activity.
E.g. fastest 1km split in a 10km run.
Returns duration in seconds.
"""
points_with_dist = [
p for p in data_points
if p.get("distance_m") is not None and p.get("timestamp") is not None
]
if not points_with_dist:
return None
best = None
j = 0
for i, start_p in enumerate(points_with_dist):
start_dist = start_p["distance_m"]
start_ts = start_p["timestamp"]
# Advance j until distance covered >= target
while j < len(points_with_dist):
end_p = points_with_dist[j]
covered = end_p["distance_m"] - start_dist
if covered >= target_distance_m:
from datetime import datetime
t1 = datetime.fromisoformat(start_ts) if isinstance(start_ts, str) else start_ts
t2 = datetime.fromisoformat(end_p["timestamp"]) if isinstance(end_p["timestamp"], str) else end_p["timestamp"]
duration = (t2 - t1).total_seconds()
if best is None or duration < best:
best = duration
break
j += 1
if j >= len(points_with_dist):
break
return best
STANDARD_DISTANCES = [
(400, "400m"),
(800, "800m"),
(1000, "1k"),
(1609.34, "1 mile"),
(3000, "3k"),
(5000, "5k"),
(10000, "10k"),
(21097.5, "Half marathon"),
(42195, "Marathon"),
(50000, "50k"),
(100000, "100k"),
]
def compute_best_splits(data_points: list[dict], total_distance_m: float) -> dict[str, float]:
"""Compute best split times for all standard distances that fit within the activity."""
results = {}
for dist_m, label in STANDARD_DISTANCES:
if total_distance_m >= dist_m * 0.95: # allow 5% tolerance
best = find_best_split_time(data_points, dist_m)
if best:
results[label] = best
return results
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"""
Background tasks: activity ingestion, route matching, PR calculation.
"""
import asyncio
from celery import Celery
from app.core.config import settings
celery_app = Celery(
"fittracker",
broker=settings.redis_url,
backend=settings.redis_url,
)
celery_app.conf.update(
task_serializer="json",
result_serializer="json",
accept_content=["json"],
timezone="UTC",
enable_utc=True,
task_track_started=True,
worker_prefetch_multiplier=1,
)
def run_async(coro):
loop = asyncio.new_event_loop()
try:
return loop.run_until_complete(coro)
finally:
loop.close()
@celery_app.task(bind=True, name="process_activity_file")
def process_activity_file(self, file_path: str, user_id: int, source_type: str):
"""Parse a FIT/GPX file and insert activity + data points into DB."""
from app.services.fit_parser import parse_fit_file, parse_gpx_file, calculate_hr_zones
from app.services.route_matcher import compute_best_splits, routes_are_similar
from app.core.database import AsyncSessionLocal
from app.models.user import Activity, ActivityDataPoint, ActivityLap, PersonalRecord, HealthMetric
from sqlalchemy import select
from datetime import datetime, timezone
self.update_state(state="PROGRESS", meta={"step": "parsing"})
try:
if source_type == "fit" or file_path.endswith(".fit"):
parsed = parse_fit_file(file_path)
else:
parsed = parse_gpx_file(file_path)
except Exception as e:
raise self.retry(exc=e, countdown=10, max_retries=3)
async def _insert():
async with AsyncSessionLocal() as db:
# Check for duplicate
if parsed.get("garmin_activity_id"):
existing = await db.execute(
select(Activity).where(
Activity.garmin_activity_id == parsed["garmin_activity_id"]
)
)
if existing.scalar_one_or_none():
return None
# HR zones
hr_zones = calculate_hr_zones(
parsed.get("data_points", []),
parsed.get("max_heart_rate") or 190
)
# Create activity
start_time = datetime.fromisoformat(parsed["start_time"]) if parsed.get("start_time") else None
activity = Activity(
user_id=user_id,
name=parsed["name"],
sport_type=parsed["sport_type"],
start_time=start_time,
distance_m=parsed.get("distance_m"),
duration_s=parsed.get("duration_s"),
elevation_gain_m=parsed.get("elevation_gain_m"),
elevation_loss_m=parsed.get("elevation_loss_m"),
avg_heart_rate=parsed.get("avg_heart_rate"),
max_heart_rate=parsed.get("max_heart_rate"),
avg_cadence=parsed.get("avg_cadence"),
avg_power=parsed.get("avg_power"),
normalized_power=parsed.get("normalized_power"),
avg_speed_ms=parsed.get("avg_speed_ms"),
max_speed_ms=parsed.get("max_speed_ms"),
avg_temperature_c=parsed.get("avg_temperature_c"),
calories=parsed.get("calories"),
training_stress_score=parsed.get("training_stress_score"),
polyline=parsed.get("polyline"),
bounding_box=parsed.get("bounding_box"),
source_file=file_path,
source_type=parsed.get("source_type"),
hr_zones=hr_zones,
)
db.add(activity)
await db.flush()
# Insert data points in batches
points = parsed.get("data_points", [])
batch_size = 500
for i in range(0, len(points), batch_size):
batch = points[i:i+batch_size]
db.add_all([
ActivityDataPoint(
activity_id=activity.id,
timestamp=datetime.fromisoformat(p["timestamp"]) if p.get("timestamp") else None,
latitude=p.get("latitude"),
longitude=p.get("longitude"),
altitude_m=p.get("altitude_m"),
heart_rate=p.get("heart_rate"),
cadence=p.get("cadence"),
speed_ms=p.get("speed_ms"),
power=p.get("power"),
temperature_c=p.get("temperature_c"),
distance_m=p.get("distance_m"),
)
for p in batch
])
# Insert laps
for lap in parsed.get("laps", []):
ls = datetime.fromisoformat(lap["start_time"]) if lap.get("start_time") else None
db.add(ActivityLap(
activity_id=activity.id,
lap_number=lap["lap_number"],
start_time=ls,
duration_s=lap.get("duration_s"),
distance_m=lap.get("distance_m"),
avg_heart_rate=lap.get("avg_heart_rate"),
avg_cadence=lap.get("avg_cadence"),
avg_speed_ms=lap.get("avg_speed_ms"),
avg_power=lap.get("avg_power"),
))
await db.commit()
return activity.id
activity_id = run_async(_insert())
if activity_id:
# Queue PR calculation
compute_personal_records.delay(activity_id, user_id, parsed)
return {"activity_id": activity_id, "status": "ok"}
@celery_app.task(name="compute_personal_records")
def compute_personal_records(activity_id: int, user_id: int, parsed: dict):
"""Calculate personal records for standard distances from this activity."""
from app.services.route_matcher import compute_best_splits, STANDARD_DISTANCES
from app.core.database import AsyncSessionLocal
from app.models.user import PersonalRecord
from sqlalchemy import select
from datetime import datetime, timezone
data_points = parsed.get("data_points", [])
total_dist = parsed.get("distance_m", 0) or 0
sport = parsed.get("sport_type", "running")
start_time_str = parsed.get("start_time")
start_time = datetime.fromisoformat(start_time_str) if start_time_str else datetime.now(timezone.utc)
best_splits = compute_best_splits(data_points, total_dist)
async def _save():
async with AsyncSessionLocal() as db:
for label, duration_s in best_splits.items():
dist_m = next((d for d, l in STANDARD_DISTANCES if l == label), None)
if dist_m is None:
continue
# Check existing record
existing = await db.execute(
select(PersonalRecord).where(
PersonalRecord.user_id == user_id,
PersonalRecord.sport_type == sport,
PersonalRecord.distance_m == dist_m,
PersonalRecord.is_current_record == True,
)
)
current = existing.scalar_one_or_none()
if current is None or duration_s < current.duration_s:
if current:
current.is_current_record = False
db.add(PersonalRecord(
user_id=user_id,
activity_id=activity_id,
sport_type=sport,
distance_m=dist_m,
distance_label=label,
duration_s=duration_s,
achieved_at=start_time,
is_current_record=True,
))
await db.commit()
run_async(_save())
@celery_app.task(name="process_garmin_health_zip")
def process_garmin_health_zip(zip_path: str, user_id: int):
"""
Process a Garmin Connect data export zip.
Extracts wellness/sleep/HRV CSV files and inserts health metrics.
"""
import zipfile
import json
import csv
from pathlib import Path
from app.core.database import AsyncSessionLocal
from app.models.user import HealthMetric
from sqlalchemy.dialects.postgresql import insert
from datetime import datetime, timezone
async def _process():
async with AsyncSessionLocal() as db:
with zipfile.ZipFile(zip_path) as zf:
names = zf.namelist()
# Parse daily summary JSON files from Garmin export
for name in names:
if "DailyMetrics" in name and name.endswith(".json"):
with zf.open(name) as f:
try:
data = json.load(f)
except Exception:
continue
date_str = data.get("calendarDate") or data.get("date")
if not date_str:
continue
try:
date = datetime.fromisoformat(date_str).replace(tzinfo=timezone.utc)
except ValueError:
continue
metric = HealthMetric(
user_id=user_id,
date=date,
resting_hr=data.get("restingHeartRate"),
steps=data.get("totalSteps"),
floors_climbed=data.get("floorsAscended"),
active_calories=data.get("activeKilocalories"),
total_calories=data.get("totalKilocalories"),
avg_stress=data.get("averageStressLevel"),
spo2_avg=data.get("avgSpo2"),
)
db.add(metric)
await db.commit()
run_async(_process())
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fastapi==0.111.0
uvicorn[standard]==0.30.0
sqlalchemy[asyncio]==2.0.30
asyncpg==0.29.0
alembic==1.13.1
pydantic==2.7.1
pydantic-settings==2.2.1
python-jose[cryptography]==3.3.0
passlib[bcrypt]==1.7.4
python-multipart==0.0.9
httpx==0.27.0
redis[hiredis]==5.0.4
celery[redis]==5.4.0
fitparse==1.2.0
gpxpy==1.6.2
numpy==1.26.4
scipy==1.13.0
geopy==2.4.1
polyline==2.0.2
Pillow==10.3.0
aiofiles==23.2.1
python-dateutil==2.9.0
pytz==2024.1
+114
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version: "3.9"
# FitTracker — standalone deployment
#
# 1. Copy this file somewhere on your server (no other files needed)
# 2. Run: docker compose up -d
# 3. Visit http://localhost
#
# Images are pulled from your Gitea container registry automatically.
# To update to the latest build: docker compose pull && docker compose up -d
# ── Replace these with your actual Gitea host and username ───────────────────
x-registry: &registry gitea.yourdomain.com/yourusername
# ─────────────────────────────────────────────────────────────────────────────
services:
db:
image: timescale/timescaledb:latest-pg16
container_name: fittracker_db
restart: unless-stopped
environment:
POSTGRES_DB: fittracker
POSTGRES_USER: ${DB_USER:-fittracker}
POSTGRES_PASSWORD: ${DB_PASSWORD:-fittracker}
volumes:
- db_data:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U ${DB_USER:-fittracker} -d fittracker"]
interval: 10s
timeout: 5s
retries: 10
start_period: 30s
redis:
image: redis:7-alpine
container_name: fittracker_redis
restart: unless-stopped
command: redis-server --requirepass ${REDIS_PASSWORD:-fittracker}
volumes:
- redis_data:/data
healthcheck:
test: ["CMD", "redis-cli", "-a", "${REDIS_PASSWORD:-fittracker}", "ping"]
interval: 10s
timeout: 5s
retries: 5
start_period: 10s
backend:
image: gitea.yourdomain.com/yourusername/fittracker-backend:latest
container_name: fittracker_backend
restart: unless-stopped
environment:
DATABASE_URL: postgresql+asyncpg://${DB_USER:-fittracker}:${DB_PASSWORD:-fittracker}@db:5432/fittracker
REDIS_URL: redis://:${REDIS_PASSWORD:-fittracker}@redis:6379/0
SECRET_KEY: ${SECRET_KEY:-changeme_run_openssl_rand_hex_32}
ADMIN_USERNAME: ${ADMIN_USERNAME:-admin}
ADMIN_PASSWORD: ${ADMIN_PASSWORD:-admin}
POCKETID_ISSUER: ${POCKETID_ISSUER:-}
POCKETID_CLIENT_ID: ${POCKETID_CLIENT_ID:-}
POCKETID_CLIENT_SECRET: ${POCKETID_CLIENT_SECRET:-}
FILE_STORE_PATH: /data/files
ENVIRONMENT: production
volumes:
- file_data:/data/files
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
interval: 15s
timeout: 5s
retries: 10
start_period: 30s
worker:
image: gitea.yourdomain.com/yourusername/fittracker-worker:latest
container_name: fittracker_worker
restart: unless-stopped
environment:
DATABASE_URL: postgresql+asyncpg://${DB_USER:-fittracker}:${DB_PASSWORD:-fittracker}@db:5432/fittracker
REDIS_URL: redis://:${REDIS_PASSWORD:-fittracker}@redis:6379/0
SECRET_KEY: ${SECRET_KEY:-changeme_run_openssl_rand_hex_32}
FILE_STORE_PATH: /data/files
volumes:
- file_data:/data/files
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
frontend:
image: gitea.yourdomain.com/yourusername/fittracker-frontend:latest
container_name: fittracker_frontend
restart: unless-stopped
nginx:
image: nginx:alpine
container_name: fittracker_nginx
restart: unless-stopped
ports:
- "${HTTP_PORT:-80}:80"
volumes:
- ./nginx.conf:/etc/nginx/nginx.conf:ro
depends_on:
- backend
- frontend
volumes:
db_data:
redis_data:
file_data:
+111
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version: "3.9"
services:
db:
image: timescale/timescaledb:latest-pg16
container_name: fittracker_db
restart: unless-stopped
environment:
POSTGRES_DB: fittracker
POSTGRES_USER: ${DB_USER:-fittracker}
POSTGRES_PASSWORD: ${DB_PASSWORD:-fittracker}
volumes:
- db_data:/var/lib/postgresql/data
- ./docker/init.sql:/docker-entrypoint-initdb.d/init.sql:ro
healthcheck:
test: ["CMD-SHELL", "pg_isready -U ${DB_USER:-fittracker} -d fittracker"]
interval: 10s
timeout: 5s
retries: 10
start_period: 30s
redis:
image: redis:7-alpine
container_name: fittracker_redis
restart: unless-stopped
command: redis-server --requirepass ${REDIS_PASSWORD:-fittracker}
volumes:
- redis_data:/data
healthcheck:
test: ["CMD", "redis-cli", "-a", "${REDIS_PASSWORD:-fittracker}", "ping"]
interval: 10s
timeout: 5s
retries: 5
start_period: 10s
backend:
build:
context: ./backend
dockerfile: Dockerfile
container_name: fittracker_backend
restart: unless-stopped
environment:
DATABASE_URL: postgresql+asyncpg://${DB_USER:-fittracker}:${DB_PASSWORD:-fittracker}@db:5432/fittracker
REDIS_URL: redis://:${REDIS_PASSWORD:-fittracker}@redis:6379/0
SECRET_KEY: ${SECRET_KEY:-changeme_please_set_in_env_file_32chars}
ADMIN_USERNAME: ${ADMIN_USERNAME:-admin}
ADMIN_PASSWORD: ${ADMIN_PASSWORD:-admin}
POCKETID_ISSUER: ${POCKETID_ISSUER:-}
POCKETID_CLIENT_ID: ${POCKETID_CLIENT_ID:-}
POCKETID_CLIENT_SECRET: ${POCKETID_CLIENT_SECRET:-}
FILE_STORE_PATH: /data/files
ENVIRONMENT: ${ENVIRONMENT:-production}
volumes:
- file_data:/data/files
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
interval: 15s
timeout: 5s
retries: 10
start_period: 30s
worker:
build:
context: ./backend
dockerfile: Dockerfile.worker
container_name: fittracker_worker
restart: unless-stopped
environment:
DATABASE_URL: postgresql+asyncpg://${DB_USER:-fittracker}:${DB_PASSWORD:-fittracker}@db:5432/fittracker
REDIS_URL: redis://:${REDIS_PASSWORD:-fittracker}@redis:6379/0
SECRET_KEY: ${SECRET_KEY:-changeme_please_set_in_env_file_32chars}
FILE_STORE_PATH: /data/files
volumes:
- file_data:/data/files
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
frontend:
build:
context: ./frontend
dockerfile: Dockerfile
args:
VITE_API_URL: ${VITE_API_URL:-/api}
VITE_MAPBOX_TOKEN: ${VITE_MAPBOX_TOKEN:-}
container_name: fittracker_frontend
restart: unless-stopped
nginx:
image: nginx:alpine
container_name: fittracker_nginx
restart: unless-stopped
ports:
- "${HTTP_PORT:-80}:80"
volumes:
- ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
depends_on:
- backend
- frontend
volumes:
db_data:
redis_data:
file_data:
+7
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-- Enable TimescaleDB extension
CREATE EXTENSION IF NOT EXISTS timescaledb;
CREATE EXTENSION IF NOT EXISTS postgis;
-- Activity data points will use TimescaleDB hypertable for efficient
-- time-series queries on HR, cadence, power, temperature, etc.
-- Tables are created by Alembic migrations; this just ensures extensions exist.
+18
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FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
ARG VITE_API_URL=/api
ARG VITE_MAPBOX_TOKEN=
ENV VITE_API_URL=$VITE_API_URL
ENV VITE_MAPBOX_TOKEN=$VITE_MAPBOX_TOKEN
RUN npm run build
FROM nginx:alpine
COPY --from=builder /app/dist /usr/share/nginx/html
COPY nginx-spa.conf /etc/nginx/conf.d/default.conf
EXPOSE 80
+13
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@@ -0,0 +1,13 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>FitTracker</title>
<link rel="stylesheet" href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css" />
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.jsx"></script>
</body>
</html>
+14
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@@ -0,0 +1,14 @@
server {
listen 80;
root /usr/share/nginx/html;
index index.html;
location / {
try_files $uri $uri/ /index.html;
}
location ~* \.(js|css|png|jpg|jpeg|gif|ico|svg|woff2)$ {
expires 1y;
add_header Cache-Control "public, immutable";
}
}
+33
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{
"name": "fittracker-frontend",
"version": "1.0.0",
"private": true,
"type": "module",
"scripts": {
"dev": "vite",
"build": "vite build",
"preview": "vite preview"
},
"dependencies": {
"react": "^18.3.1",
"react-dom": "^18.3.1",
"react-router-dom": "^6.23.1",
"leaflet": "^1.9.4",
"react-leaflet": "^4.2.1",
"recharts": "^2.12.7",
"date-fns": "^3.6.0",
"clsx": "^2.1.1",
"zustand": "^4.5.2",
"@tanstack/react-query": "^5.40.0",
"axios": "^1.7.2",
"react-dropzone": "^14.2.3",
"@polyline-codec/core": "^2.0.0"
},
"devDependencies": {
"@vitejs/plugin-react": "^4.3.1",
"vite": "^5.2.13",
"autoprefixer": "^10.4.19",
"postcss": "^8.4.38",
"tailwindcss": "^3.4.4"
}
}
+6
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@@ -0,0 +1,6 @@
export default {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
}
+59
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import { Routes, Route, Navigate } from 'react-router-dom'
import { useEffect } from 'react'
import { useAuthStore } from './hooks/useAuth'
import Layout from './components/ui/Layout'
import LoginPage from './pages/LoginPage'
import DashboardPage from './pages/DashboardPage'
import ActivitiesPage from './pages/ActivitiesPage'
import ActivityDetailPage from './pages/ActivityDetailPage'
import HealthPage from './pages/HealthPage'
import RoutesPage from './pages/RoutesPage'
import RecordsPage from './pages/RecordsPage'
import UploadPage from './pages/UploadPage'
function RequireAuth({ children }) {
const token = useAuthStore((s) => s.token)
if (!token) return <Navigate to="/login" replace />
return children
}
export default function App() {
const { token, fetchUser } = useAuthStore()
useEffect(() => {
if (token) fetchUser()
}, [token])
// Handle token from PocketID callback URL
useEffect(() => {
const params = new URLSearchParams(window.location.search)
const urlToken = params.get('token')
if (urlToken) {
localStorage.setItem('token', urlToken)
useAuthStore.setState({ token: urlToken })
window.history.replaceState({}, '', '/')
}
}, [])
return (
<Routes>
<Route path="/login" element={<LoginPage />} />
<Route
path="/"
element={
<RequireAuth>
<Layout />
</RequireAuth>
}
>
<Route index element={<DashboardPage />} />
<Route path="activities" element={<ActivitiesPage />} />
<Route path="activities/:id" element={<ActivityDetailPage />} />
<Route path="health" element={<HealthPage />} />
<Route path="routes" element={<RoutesPage />} />
<Route path="records" element={<RecordsPage />} />
<Route path="upload" element={<UploadPage />} />
</Route>
</Routes>
)
}
@@ -0,0 +1,123 @@
import { useEffect, useRef } from 'react'
import L from 'leaflet'
import { sportColor } from '../../utils/format'
// Fix Leaflet default icon issue with bundlers
delete L.Icon.Default.prototype._getIconUrl
L.Icon.Default.mergeOptions({
iconUrl: 'https://unpkg.com/leaflet@1.9.4/dist/images/marker-icon.png',
iconRetinaUrl: 'https://unpkg.com/leaflet@1.9.4/dist/images/marker-icon-2x.png',
shadowUrl: 'https://unpkg.com/leaflet@1.9.4/dist/images/marker-shadow.png',
})
function decodePolyline(encoded) {
// Simple polyline decoder
const coords = []
let index = 0, lat = 0, lng = 0
while (index < encoded.length) {
let b, shift = 0, result = 0
do {
b = encoded.charCodeAt(index++) - 63
result |= (b & 0x1f) << shift
shift += 5
} while (b >= 0x20)
lat += (result & 1) ? ~(result >> 1) : result >> 1
shift = 0; result = 0
do {
b = encoded.charCodeAt(index++) - 63
result |= (b & 0x1f) << shift
shift += 5
} while (b >= 0x20)
lng += (result & 1) ? ~(result >> 1) : result >> 1
coords.push([lat / 1e5, lng / 1e5])
}
return coords
}
export default function ActivityMap({ polyline, dataPoints, hoveredDistance, sportType }) {
const mapRef = useRef(null)
const mapInstanceRef = useRef(null)
const markerRef = useRef(null)
const trackRef = useRef(null)
useEffect(() => {
if (!mapRef.current || mapInstanceRef.current) return
mapInstanceRef.current = L.map(mapRef.current, {
zoomControl: true,
attributionControl: true,
})
// Use CartoDB dark tiles (no API key needed)
L.tileLayer(
'https://{s}.basemaps.cartocdn.com/dark_all/{z}/{x}/{y}{r}.png',
{
attribution: '© <a href="https://www.openstreetmap.org/copyright">OSM</a> © <a href="https://carto.com/">CARTO</a>',
maxZoom: 19,
}
).addTo(mapInstanceRef.current)
return () => {
mapInstanceRef.current?.remove()
mapInstanceRef.current = null
}
}, [])
// Draw route when polyline changes
useEffect(() => {
if (!mapInstanceRef.current || !polyline) return
if (trackRef.current) {
trackRef.current.remove()
}
const coords = decodePolyline(polyline)
if (!coords.length) return
trackRef.current = L.polyline(coords, {
color: sportColor(sportType),
weight: 3,
opacity: 0.9,
}).addTo(mapInstanceRef.current)
mapInstanceRef.current.fitBounds(trackRef.current.getBounds(), { padding: [20, 20] })
// Start/end markers
if (coords.length > 0) {
const startIcon = L.divIcon({
html: '<div style="width:12px;height:12px;background:#22c55e;border:2px solid white;border-radius:50%"></div>',
iconSize: [12, 12], iconAnchor: [6, 6], className: '',
})
const endIcon = L.divIcon({
html: '<div style="width:12px;height:12px;background:#ef4444;border:2px solid white;border-radius:50%"></div>',
iconSize: [12, 12], iconAnchor: [6, 6], className: '',
})
L.marker(coords[0], { icon: startIcon }).addTo(mapInstanceRef.current)
L.marker(coords[coords.length - 1], { icon: endIcon }).addTo(mapInstanceRef.current)
}
}, [polyline, sportType])
// Move position marker when timeline is hovered
useEffect(() => {
if (!mapInstanceRef.current || !dataPoints || !hoveredDistance) return
const point = dataPoints.find(p => p.distance_m >= hoveredDistance)
if (!point?.latitude || !point?.longitude) return
if (markerRef.current) {
markerRef.current.setLatLng([point.latitude, point.longitude])
} else {
const icon = L.divIcon({
html: '<div style="width:14px;height:14px;background:#fff;border:3px solid #3b82f6;border-radius:50%;box-shadow:0 0 6px rgba(59,130,246,0.8)"></div>',
iconSize: [14, 14], iconAnchor: [7, 7], className: '',
})
markerRef.current = L.marker([point.latitude, point.longitude], { icon })
.addTo(mapInstanceRef.current)
}
}, [hoveredDistance, dataPoints])
return <div ref={mapRef} style={{ height: '100%', width: '100%', background: '#1a1a2e' }} />
}
@@ -0,0 +1,43 @@
const ZONE_CONFIG = [
{ key: 'z1', label: 'Z1 Recovery', color: '#60a5fa' },
{ key: 'z2', label: 'Z2 Base', color: '#34d399' },
{ key: 'z3', label: 'Z3 Tempo', color: '#fbbf24' },
{ key: 'z4', label: 'Z4 Threshold', color: '#f97316' },
{ key: 'z5', label: 'Z5 Max', color: '#f43f5e' },
]
export default function HRZoneBar({ zones }) {
return (
<div className="space-y-2">
{/* Stacked bar */}
<div className="flex h-4 rounded-full overflow-hidden gap-0.5">
{ZONE_CONFIG.map(({ key, color }) => {
const pct = zones[key] || 0
if (pct < 0.5) return null
return (
<div
key={key}
style={{ width: `${pct}%`, backgroundColor: color }}
className="h-full"
title={`${key.toUpperCase()}: ${pct}%`}
/>
)
})}
</div>
{/* Legend */}
<div className="flex flex-wrap gap-4">
{ZONE_CONFIG.map(({ key, label, color }) => {
const pct = zones[key] || 0
return (
<div key={key} className="flex items-center gap-1.5">
<div className="w-2.5 h-2.5 rounded-sm" style={{ backgroundColor: color }} />
<span className="text-xs text-gray-400">{label}</span>
<span className="text-xs font-medium text-white">{pct}%</span>
</div>
)
})}
</div>
</div>
)
}
@@ -0,0 +1,40 @@
import { formatDuration, formatDistance, formatPace, formatHeartRate } from '../../utils/format'
export default function LapTable({ laps, sportType }) {
return (
<div className="overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="text-xs text-gray-500 border-b border-gray-800">
<th className="text-left pb-2 font-medium">Lap</th>
<th className="text-right pb-2 font-medium">Distance</th>
<th className="text-right pb-2 font-medium">Time</th>
<th className="text-right pb-2 font-medium">Pace</th>
<th className="text-right pb-2 font-medium">Avg HR</th>
<th className="text-right pb-2 font-medium">Cadence</th>
<th className="text-right pb-2 font-medium">Power</th>
</tr>
</thead>
<tbody>
{laps.map((lap) => (
<tr key={lap.lap_number} className="border-b border-gray-800/50 hover:bg-gray-800/30 transition-colors">
<td className="py-2 text-gray-400">{lap.lap_number}</td>
<td className="py-2 text-right text-gray-200">{formatDistance(lap.distance_m)}</td>
<td className="py-2 text-right text-gray-200">{formatDuration(lap.duration_s)}</td>
<td className="py-2 text-right text-gray-200">{formatPace(lap.avg_speed_ms, sportType)}</td>
<td className="py-2 text-right">
<span className="text-red-400">{formatHeartRate(lap.avg_heart_rate)}</span>
</td>
<td className="py-2 text-right text-gray-400">
{lap.avg_cadence ? `${Math.round(lap.avg_cadence)} rpm` : '--'}
</td>
<td className="py-2 text-right text-gray-400">
{lap.avg_power ? `${Math.round(lap.avg_power)} W` : '--'}
</td>
</tr>
))}
</tbody>
</table>
</div>
)
}
@@ -0,0 +1,156 @@
import { useMemo, useCallback } from 'react'
import {
ComposedChart, Line, XAxis, YAxis, CartesianGrid, Tooltip,
ResponsiveContainer, ReferenceLine,
} from 'recharts'
import { formatDuration, formatPace } from '../../utils/format'
function downsample(points, maxPoints = 500) {
if (points.length <= maxPoints) return points
const step = Math.ceil(points.length / maxPoints)
return points.filter((_, i) => i % step === 0)
}
function buildChartData(dataPoints, activeMetrics) {
return dataPoints
.filter(p => p.timestamp)
.map(p => {
const row = { distance_m: p.distance_m ?? 0 }
for (const key of activeMetrics) {
row[key] = p[key] ?? null
}
return row
})
}
const CustomTooltip = ({ active, payload, label, metrics, sportType, onHover }) => {
if (!active || !payload?.length) return null
if (onHover) onHover(label)
return (
<div className="bg-gray-900 border border-gray-700 rounded-lg p-3 text-xs shadow-xl">
<p className="text-gray-400 mb-1">{(label / 1000).toFixed(2)} km</p>
{payload.map(entry => {
const metric = metrics.find(m => m.key === entry.dataKey)
if (!metric || entry.value == null) return null
let display = entry.value.toFixed(1)
if (entry.dataKey === 'speed_ms') display = formatPace(entry.value, sportType)
else if (entry.dataKey === 'heart_rate') display = `${Math.round(entry.value)} bpm`
else if (entry.dataKey === 'cadence') display = `${Math.round(entry.value)} rpm`
else if (entry.dataKey === 'power') display = `${Math.round(entry.value)} W`
else if (entry.dataKey === 'temperature_c') display = `${entry.value.toFixed(1)} °C`
else if (entry.dataKey === 'altitude_m') display = `${entry.value.toFixed(0)} m`
return (
<div key={entry.dataKey} className="flex items-center gap-2">
<span style={{ color: entry.color }}></span>
<span className="text-gray-300">{metric.label}:</span>
<span className="text-white font-medium">{display}</span>
</div>
)
})}
</div>
)
}
export default function MetricTimeline({ dataPoints, activeMetrics, metrics, onHoverDistance, sportType }) {
const chartData = useMemo(() =>
downsample(buildChartData(dataPoints, activeMetrics)),
[dataPoints, activeMetrics]
)
const activeMetricConfigs = metrics.filter(m => activeMetrics.includes(m.key))
// Build per-metric Y-axis domains
const domains = useMemo(() => {
const result = {}
for (const m of activeMetricConfigs) {
const vals = chartData.map(p => p[m.key]).filter(v => v != null)
if (!vals.length) continue
const min = Math.min(...vals)
const max = Math.max(...vals)
const pad = (max - min) * 0.1 || 1
result[m.key] = [min - pad, max + pad]
}
return result
}, [chartData, activeMetricConfigs])
if (!chartData.length) {
return (
<div className="flex items-center justify-center h-48 text-gray-600 text-sm">
No timeline data available
</div>
)
}
return (
<div className="space-y-4">
{activeMetricConfigs.map((metric, idx) => {
const domain = domains[metric.key] || ['auto', 'auto']
const data = chartData.filter(p => p[metric.key] != null)
if (!data.length) return null
return (
<div key={metric.key}>
<div className="flex items-center gap-2 mb-1">
<span style={{ color: metric.color }} className="text-xs font-medium">
{metric.label}
</span>
{metric.unit && (
<span className="text-xs text-gray-600">({metric.unit})</span>
)}
</div>
<ResponsiveContainer width="100%" height={100}>
<ComposedChart data={chartData} margin={{ top: 2, right: 8, bottom: 2, left: 8 }}>
<CartesianGrid strokeDasharray="3 3" stroke="#1f2937" vertical={false} />
<XAxis
dataKey="distance_m"
type="number"
domain={['dataMin', 'dataMax']}
tickFormatter={v => `${(v / 1000).toFixed(1)}`}
tick={{ fontSize: 10, fill: '#6b7280' }}
axisLine={false}
tickLine={false}
hide={idx < activeMetricConfigs.length - 1}
/>
<YAxis
domain={domain}
tick={{ fontSize: 10, fill: '#6b7280' }}
axisLine={false}
tickLine={false}
width={36}
tickFormatter={v => {
if (metric.key === 'speed_ms') return `${(v * 3.6).toFixed(0)}`
return Math.round(v)
}}
/>
<Tooltip
content={
<CustomTooltip
metrics={metrics}
sportType={sportType}
onHover={onHoverDistance}
/>
}
isAnimationActive={false}
/>
<Line
type="monotone"
dataKey={metric.key}
stroke={metric.color}
strokeWidth={1.5}
dot={false}
isAnimationActive={false}
connectNulls={false}
/>
</ComposedChart>
</ResponsiveContainer>
</div>
)
})}
{/* Shared distance axis label */}
<p className="text-xs text-gray-600 text-center">Distance (km)</p>
</div>
)
}
+74
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import { Outlet, NavLink, useNavigate } from 'react-router-dom'
import { useAuthStore } from '../../hooks/useAuth'
const nav = [
{ to: '/', label: 'Dashboard', icon: '📊', exact: true },
{ to: '/activities', label: 'Activities', icon: '🏃' },
{ to: '/health', label: 'Health', icon: '❤️' },
{ to: '/routes', label: 'Routes', icon: '🗺️' },
{ to: '/records', label: 'Records', icon: '🏆' },
{ to: '/upload', label: 'Import', icon: '⬆️' },
]
export default function Layout() {
const { user, logout } = useAuthStore()
const navigate = useNavigate()
const handleLogout = () => {
logout()
navigate('/login')
}
return (
<div className="flex h-screen overflow-hidden bg-gray-950">
{/* Sidebar */}
<aside className="w-56 flex-shrink-0 bg-gray-900 border-r border-gray-800 flex flex-col">
{/* Logo */}
<div className="px-4 py-5 border-b border-gray-800">
<h1 className="text-lg font-bold text-white tracking-tight">
<span className="text-blue-400">Fit</span>Tracker
</h1>
{user && (
<p className="text-xs text-gray-500 mt-0.5">@{user.username}</p>
)}
</div>
{/* Nav */}
<nav className="flex-1 py-4 overflow-y-auto">
{nav.map(({ to, label, icon, exact }) => (
<NavLink
key={to}
to={to}
end={exact}
className={({ isActive }) =>
`flex items-center gap-3 px-4 py-2.5 text-sm transition-colors ${
isActive
? 'bg-blue-600/20 text-blue-400 border-r-2 border-blue-400'
: 'text-gray-400 hover:text-gray-100 hover:bg-gray-800'
}`
}
>
<span>{icon}</span>
{label}
</NavLink>
))}
</nav>
{/* Footer */}
<div className="px-4 py-4 border-t border-gray-800">
<button
onClick={handleLogout}
className="w-full text-left text-xs text-gray-500 hover:text-gray-300 transition-colors"
>
Sign out
</button>
</div>
</aside>
{/* Main content */}
<main className="flex-1 overflow-y-auto">
<Outlet />
</main>
</div>
)
}
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const accentColors = {
default: 'text-white',
red: 'text-red-400',
blue: 'text-blue-400',
green: 'text-green-400',
orange: 'text-orange-400',
purple: 'text-purple-400',
}
export default function StatCard({ label, value, accent = 'default', sub }) {
return (
<div className="bg-gray-800/60 rounded-xl p-3 border border-gray-700/50">
<p className="text-xs text-gray-500 mb-1">{label}</p>
<p className={`text-lg font-semibold ${accentColors[accent]}`}>{value}</p>
{sub && <p className="text-xs text-gray-600 mt-0.5">{sub}</p>}
</div>
)
}
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import { create } from 'zustand'
import api from '../utils/api'
export const useAuthStore = create((set) => ({
token: localStorage.getItem('token'),
user: null,
isLoading: false,
login: async (username, password) => {
set({ isLoading: true })
try {
const params = new URLSearchParams()
params.append('username', username)
params.append('password', password)
const { data } = await api.post('/auth/token', params, {
headers: { 'Content-Type': 'application/x-www-form-urlencoded' },
})
localStorage.setItem('token', data.access_token)
set({ token: data.access_token, user: data, isLoading: false })
return true
} catch (e) {
set({ isLoading: false })
throw e
}
},
logout: () => {
localStorage.removeItem('token')
set({ token: null, user: null })
},
fetchUser: async () => {
try {
const { data } = await api.get('/auth/me')
set({ user: data })
} catch {
set({ token: null, user: null })
localStorage.removeItem('token')
}
},
}))
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@tailwind base;
@tailwind components;
@tailwind utilities;
@layer base {
body {
@apply bg-gray-950 text-gray-100 antialiased;
font-family: system-ui, -apple-system, sans-serif;
}
}
/* Leaflet dark mode fixes */
.leaflet-container {
background: #1a1a2e;
}
/* Custom scrollbar */
::-webkit-scrollbar { width: 6px; height: 6px; }
::-webkit-scrollbar-track { background: transparent; }
::-webkit-scrollbar-thumb { background: #374151; border-radius: 3px; }
/* HR zone colours */
.zone-1 { color: #60a5fa; }
.zone-2 { color: #34d399; }
.zone-3 { color: #fbbf24; }
.zone-4 { color: #f97316; }
.zone-5 { color: #f43f5e; }
.zone-bg-1 { background-color: #1e3a5f; }
.zone-bg-2 { background-color: #065f46; }
.zone-bg-3 { background-color: #78350f; }
.zone-bg-4 { background-color: #7c2d12; }
.zone-bg-5 { background-color: #881337; }
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import React from 'react'
import ReactDOM from 'react-dom/client'
import { BrowserRouter } from 'react-router-dom'
import { QueryClient, QueryClientProvider } from '@tanstack/react-query'
import App from './App'
import './index.css'
const queryClient = new QueryClient({
defaultOptions: {
queries: { staleTime: 60_000, retry: 1 },
},
})
ReactDOM.createRoot(document.getElementById('root')).render(
<React.StrictMode>
<QueryClientProvider client={queryClient}>
<BrowserRouter>
<App />
</BrowserRouter>
</QueryClientProvider>
</React.StrictMode>
)
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import { useState } from 'react'
import { Link } from 'react-router-dom'
import { useQuery } from '@tanstack/react-query'
import api from '../utils/api'
import {
formatDuration, formatDistance, formatPace, formatHeartRate,
formatDate, sportIcon, sportColor,
} from '../utils/format'
const SPORTS = ['all', 'running', 'cycling', 'swimming', 'hiking', 'walking']
export default function ActivitiesPage() {
const [sport, setSport] = useState('all')
const [page, setPage] = useState(1)
const { data: activities, isLoading } = useQuery({
queryKey: ['activities', sport, page],
queryFn: () =>
api.get('/activities/', {
params: {
sport_type: sport === 'all' ? undefined : sport,
page,
per_page: 20,
},
}).then(r => r.data),
})
return (
<div className="p-6">
<div className="flex items-center justify-between mb-6">
<h1 className="text-2xl font-bold text-white">Activities</h1>
<Link
to="/upload"
className="bg-blue-600 hover:bg-blue-700 text-white text-sm px-4 py-2 rounded-lg transition-colors"
>
+ Import
</Link>
</div>
{/* Sport filter */}
<div className="flex gap-2 mb-6 flex-wrap">
{SPORTS.map(s => (
<button
key={s}
onClick={() => { setSport(s); setPage(1) }}
className={`capitalize text-sm px-3 py-1.5 rounded-full border transition-colors ${
sport === s
? 'bg-blue-600 border-blue-600 text-white'
: 'border-gray-700 text-gray-400 hover:text-white hover:border-gray-500'
}`}
>
{s === 'all' ? 'All' : `${sportIcon(s)} ${s}`}
</button>
))}
</div>
{/* Activity list */}
{isLoading ? (
<div className="text-gray-500 text-sm">Loading</div>
) : (
<div className="space-y-2">
{activities?.map(activity => (
<Link
key={activity.id}
to={`/activities/${activity.id}`}
className="flex items-center gap-4 bg-gray-900 hover:bg-gray-800 border border-gray-800 hover:border-gray-700 rounded-xl p-4 transition-all group"
>
{/* Sport indicator */}
<div
className="w-10 h-10 rounded-full flex items-center justify-center flex-shrink-0 text-lg"
style={{ backgroundColor: sportColor(activity.sport_type) + '22' }}
>
{sportIcon(activity.sport_type)}
</div>
{/* Name + date */}
<div className="flex-1 min-w-0">
<p className="font-medium text-white group-hover:text-blue-400 transition-colors truncate">
{activity.name}
</p>
<p className="text-xs text-gray-500 mt-0.5">{formatDate(activity.start_time)}</p>
</div>
{/* Metrics */}
<div className="hidden sm:flex items-center gap-6 text-sm">
<div className="text-right">
<p className="text-gray-200 font-medium">{formatDistance(activity.distance_m)}</p>
<p className="text-xs text-gray-600">distance</p>
</div>
<div className="text-right">
<p className="text-gray-200 font-medium">{formatDuration(activity.duration_s)}</p>
<p className="text-xs text-gray-600">time</p>
</div>
<div className="text-right">
<p className="text-gray-200 font-medium">{formatPace(activity.avg_speed_ms, activity.sport_type)}</p>
<p className="text-xs text-gray-600">pace</p>
</div>
<div className="text-right">
<p className="text-red-400 font-medium">{formatHeartRate(activity.avg_heart_rate)}</p>
<p className="text-xs text-gray-600">avg HR</p>
</div>
<div className="text-right">
<p className="text-gray-200 font-medium">
{activity.elevation_gain_m ? `${Math.round(activity.elevation_gain_m)}m` : '--'}
</p>
<p className="text-xs text-gray-600">elev</p>
</div>
</div>
<span className="text-gray-700 group-hover:text-gray-400 transition-colors ml-2"></span>
</Link>
))}
{activities?.length === 0 && (
<div className="text-center py-16 text-gray-600">
<p className="text-4xl mb-3">🏃</p>
<p className="text-lg">No activities yet</p>
<p className="text-sm mt-1">
<Link to="/upload" className="text-blue-400 hover:underline">Import your Garmin or Strava data</Link> to get started
</p>
</div>
)}
</div>
)}
{/* Pagination */}
{activities?.length === 20 && (
<div className="flex justify-center gap-3 mt-6">
<button
onClick={() => setPage(p => Math.max(1, p - 1))}
disabled={page === 1}
className="px-4 py-2 text-sm bg-gray-800 text-gray-300 rounded-lg disabled:opacity-30 hover:bg-gray-700 transition-colors"
>
Previous
</button>
<span className="px-4 py-2 text-sm text-gray-500">Page {page}</span>
<button
onClick={() => setPage(p => p + 1)}
className="px-4 py-2 text-sm bg-gray-800 text-gray-300 rounded-lg hover:bg-gray-700 transition-colors"
>
Next
</button>
</div>
)}
</div>
)
}
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import { useParams } from 'react-router-dom'
import { useQuery } from '@tanstack/react-query'
import { useState, useMemo } from 'react'
import api from '../utils/api'
import ActivityMap from '../components/activity/ActivityMap'
import MetricTimeline from '../components/activity/MetricTimeline'
import HRZoneBar from '../components/activity/HRZoneBar'
import LapTable from '../components/activity/LapTable'
import StatCard from '../components/ui/StatCard'
import {
formatDuration, formatDistance, formatPace, formatElevation,
formatHeartRate, formatDateTime, sportIcon,
} from '../utils/format'
const METRICS = [
{ key: 'heart_rate', label: 'Heart Rate', unit: 'bpm', color: '#f43f5e' },
{ key: 'speed_ms', label: 'Pace / Speed', unit: '', color: '#3b82f6' },
{ key: 'altitude_m', label: 'Elevation', unit: 'm', color: '#84cc16' },
{ key: 'cadence', label: 'Cadence', unit: 'rpm', color: '#f97316' },
{ key: 'power', label: 'Power', unit: 'W', color: '#a855f7' },
{ key: 'temperature_c', label: 'Temperature', unit: '°C', color: '#06b6d4' },
]
export default function ActivityDetailPage() {
const { id } = useParams()
const [activeMetrics, setActiveMetrics] = useState(['heart_rate', 'speed_ms', 'altitude_m'])
const [hoveredDistance, setHoveredDistance] = useState(null)
const { data: activity, isLoading } = useQuery({
queryKey: ['activity', id],
queryFn: () => api.get(`/activities/${id}`).then(r => r.data),
})
const { data: dataPoints } = useQuery({
queryKey: ['activity-points', id],
queryFn: () => api.get(`/activities/${id}/data-points?downsample=3`).then(r => r.data),
enabled: !!activity,
})
const { data: laps } = useQuery({
queryKey: ['activity-laps', id],
queryFn: () => api.get(`/activities/${id}/laps`).then(r => r.data),
enabled: !!activity,
})
const toggleMetric = (key) => {
setActiveMetrics(prev =>
prev.includes(key) ? prev.filter(k => k !== key) : [...prev, key]
)
}
if (isLoading) {
return (
<div className="flex items-center justify-center h-full">
<div className="text-gray-500">Loading activity</div>
</div>
)
}
if (!activity) return null
const speed = activity.avg_speed_ms
const pace = formatPace(speed, activity.sport_type)
return (
<div className="p-6 space-y-6">
{/* Header */}
<div className="flex items-start justify-between">
<div>
<div className="flex items-center gap-2 mb-1">
<span className="text-2xl">{sportIcon(activity.sport_type)}</span>
<h1 className="text-2xl font-bold text-white">{activity.name}</h1>
</div>
<p className="text-sm text-gray-500">{formatDateTime(activity.start_time)}</p>
</div>
</div>
{/* Summary stats */}
<div className="grid grid-cols-3 lg:grid-cols-6 gap-3">
<StatCard label="Distance" value={formatDistance(activity.distance_m)} />
<StatCard label="Time" value={formatDuration(activity.duration_s)} />
<StatCard label="Pace" value={pace} />
<StatCard label="Elevation" value={`${formatElevation(activity.elevation_gain_m)}`} />
<StatCard label="Avg HR" value={formatHeartRate(activity.avg_heart_rate)} accent="red" />
<StatCard label="Calories" value={activity.calories ? `${Math.round(activity.calories)} kcal` : '--'} />
</div>
{/* Secondary stats */}
<div className="grid grid-cols-3 lg:grid-cols-6 gap-3">
<StatCard label="Max HR" value={formatHeartRate(activity.max_heart_rate)} />
<StatCard label="Avg Cadence" value={activity.avg_cadence ? `${Math.round(activity.avg_cadence)} rpm` : '--'} />
<StatCard label="Avg Power" value={activity.avg_power ? `${Math.round(activity.avg_power)} W` : '--'} />
<StatCard label="NP" value={activity.normalized_power ? `${Math.round(activity.normalized_power)} W` : '--'} />
<StatCard label="TSS" value={activity.training_stress_score ? Math.round(activity.training_stress_score) : '--'} />
<StatCard label="Avg Temp" value={activity.avg_temperature_c ? `${activity.avg_temperature_c.toFixed(1)} °C` : '--'} />
</div>
{/* Map */}
<div className="bg-gray-900 rounded-xl overflow-hidden border border-gray-800" style={{ height: 420 }}>
<ActivityMap
polyline={activity.polyline}
dataPoints={dataPoints}
hoveredDistance={hoveredDistance}
sportType={activity.sport_type}
/>
</div>
{/* HR Zones */}
{activity.hr_zones && Object.keys(activity.hr_zones).length > 0 && (
<div className="bg-gray-900 rounded-xl border border-gray-800 p-4">
<h3 className="text-sm font-medium text-gray-300 mb-3">Heart Rate Zones</h3>
<HRZoneBar zones={activity.hr_zones} />
</div>
)}
{/* Metric selector */}
<div className="bg-gray-900 rounded-xl border border-gray-800 p-4">
<div className="flex items-center justify-between mb-4">
<h3 className="text-sm font-medium text-gray-300">Activity Timeline</h3>
<div className="flex flex-wrap gap-2">
{METRICS.map(({ key, label, color }) => (
<button
key={key}
onClick={() => toggleMetric(key)}
className={`text-xs px-3 py-1 rounded-full border transition-colors ${
activeMetrics.includes(key)
? 'border-transparent text-white'
: 'border-gray-700 text-gray-500 hover:text-gray-300'
}`}
style={activeMetrics.includes(key) ? { backgroundColor: color + '33', borderColor: color, color } : {}}
>
{label}
</button>
))}
</div>
</div>
{dataPoints && (
<MetricTimeline
dataPoints={dataPoints}
activeMetrics={activeMetrics}
metrics={METRICS}
onHoverDistance={setHoveredDistance}
sportType={activity.sport_type}
/>
)}
</div>
{/* Laps */}
{laps && laps.length > 0 && (
<div className="bg-gray-900 rounded-xl border border-gray-800 p-4">
<h3 className="text-sm font-medium text-gray-300 mb-3">Laps</h3>
<LapTable laps={laps} sportType={activity.sport_type} />
</div>
)}
</div>
)
}
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import { Link } from 'react-router-dom'
import { useQuery } from '@tanstack/react-query'
import { BarChart, Bar, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer } from 'recharts'
import { format, subDays, startOfWeek } from 'date-fns'
import api from '../utils/api'
import StatCard from '../components/ui/StatCard'
import {
formatDuration, formatDistance, formatPace, formatHeartRate,
formatDate, sportIcon, formatSleep,
} from '../utils/format'
function WeeklyChart({ activities }) {
if (!activities?.length) return null
// Build last 8 weeks of distance data
const weeks = {}
activities.forEach(a => {
const week = format(startOfWeek(new Date(a.start_time)), 'MMM d')
if (!weeks[week]) weeks[week] = { week, km: 0, runs: 0 }
weeks[week].km += (a.distance_m || 0) / 1000
weeks[week].runs++
})
const data = Object.values(weeks).slice(-8)
return (
<ResponsiveContainer width="100%" height={140}>
<BarChart data={data} margin={{ top: 4, right: 4, bottom: 4, left: 0 }} barSize={20}>
<CartesianGrid strokeDasharray="3 3" stroke="#1f2937" vertical={false} />
<XAxis dataKey="week" tick={{ fontSize: 10, fill: '#6b7280' }} axisLine={false} tickLine={false} />
<YAxis tick={{ fontSize: 10, fill: '#6b7280' }} axisLine={false} tickLine={false} width={28}
tickFormatter={v => `${v.toFixed(0)}`} />
<Tooltip
contentStyle={{ background: '#111827', border: '1px solid #374151', borderRadius: 8, fontSize: 12 }}
formatter={(v, name) => [`${v.toFixed(1)} km`, 'Distance']}
/>
<Bar dataKey="km" fill="#3b82f6" radius={[3, 3, 0, 0]} isAnimationActive={false} />
</BarChart>
</ResponsiveContainer>
)
}
export default function DashboardPage() {
const { data: recentActivities } = useQuery({
queryKey: ['activities-recent'],
queryFn: () => api.get('/activities/', { params: { per_page: 10 } }).then(r => r.data),
})
const { data: allActivities } = useQuery({
queryKey: ['activities-all-chart'],
queryFn: () =>
api.get('/activities/', {
params: {
per_page: 100,
from_date: subDays(new Date(), 60).toISOString(),
},
}).then(r => r.data),
})
const { data: healthSummary } = useQuery({
queryKey: ['health-summary'],
queryFn: () => api.get('/health-metrics/summary').then(r => r.data),
})
const { data: records } = useQuery({
queryKey: ['records-running'],
queryFn: () => api.get('/records/', { params: { sport_type: 'running' } }).then(r => r.data),
})
const latest = healthSummary?.latest
const totalActivities = recentActivities?.length ?? 0
const totalDistance = recentActivities?.reduce((s, a) => s + (a.distance_m || 0), 0) ?? 0
return (
<div className="p-6 space-y-6">
<div className="flex items-center justify-between">
<h1 className="text-2xl font-bold text-white">Dashboard</h1>
<Link
to="/upload"
className="text-sm text-blue-400 hover:text-blue-300 transition-colors"
>
+ Import data
</Link>
</div>
{/* Top stats */}
<div className="grid grid-cols-2 lg:grid-cols-4 gap-3">
<StatCard label="Activities (10)" value={totalActivities} />
<StatCard label="Distance (10)" value={formatDistance(totalDistance)} accent="blue" />
<StatCard label="Resting HR" value={formatHeartRate(latest?.resting_hr)} accent="red" />
<StatCard label="Sleep" value={formatSleep(latest?.sleep_duration_s)} />
</div>
<div className="grid grid-cols-1 lg:grid-cols-3 gap-6">
{/* Weekly distance chart */}
<div className="lg:col-span-2 bg-gray-900 rounded-xl border border-gray-800 p-4">
<h3 className="text-sm font-medium text-gray-300 mb-3">Weekly distance (km)</h3>
<WeeklyChart activities={allActivities} />
</div>
{/* Health snapshot */}
<div className="bg-gray-900 rounded-xl border border-gray-800 p-4 space-y-3">
<h3 className="text-sm font-medium text-gray-300">Health today</h3>
{latest ? (
<>
<div className="flex justify-between text-sm">
<span className="text-gray-500">HRV</span>
<span className="text-white">{latest.hrv_nightly_avg ? `${Math.round(latest.hrv_nightly_avg)} ms` : '--'}</span>
</div>
<div className="flex justify-between text-sm">
<span className="text-gray-500">Sleep score</span>
<span className="text-white">{latest.sleep_score ? Math.round(latest.sleep_score) : '--'}</span>
</div>
<div className="flex justify-between text-sm">
<span className="text-gray-500">Steps</span>
<span className="text-white">{latest.steps?.toLocaleString() ?? '--'}</span>
</div>
<div className="flex justify-between text-sm">
<span className="text-gray-500">VO2 Max</span>
<span className="text-white">{latest.vo2max ? latest.vo2max.toFixed(1) : '--'}</span>
</div>
<div className="flex justify-between text-sm">
<span className="text-gray-500">Stress</span>
<span className="text-white">{latest.avg_stress ? Math.round(latest.avg_stress) : '--'}</span>
</div>
<Link to="/health" className="block text-xs text-blue-400 hover:underline mt-2">
View full health dashboard
</Link>
</>
) : (
<p className="text-xs text-gray-600">No health data. Import a Garmin export.</p>
)}
</div>
</div>
{/* Recent activities */}
<div className="bg-gray-900 rounded-xl border border-gray-800 p-4">
<div className="flex items-center justify-between mb-4">
<h3 className="text-sm font-medium text-gray-300">Recent activities</h3>
<Link to="/activities" className="text-xs text-blue-400 hover:underline">View all </Link>
</div>
<div className="space-y-2">
{recentActivities?.slice(0, 5).map(activity => (
<Link
key={activity.id}
to={`/activities/${activity.id}`}
className="flex items-center gap-3 py-2 border-b border-gray-800/50 hover:bg-gray-800/30 rounded-lg px-2 -mx-2 transition-colors"
>
<span className="text-lg">{sportIcon(activity.sport_type)}</span>
<div className="flex-1 min-w-0">
<p className="text-sm font-medium text-white truncate">{activity.name}</p>
<p className="text-xs text-gray-500">{formatDate(activity.start_time)}</p>
</div>
<div className="flex gap-4 text-sm text-right">
<div>
<p className="text-gray-200">{formatDistance(activity.distance_m)}</p>
<p className="text-xs text-gray-600">dist</p>
</div>
<div>
<p className="text-gray-200">{formatDuration(activity.duration_s)}</p>
<p className="text-xs text-gray-600">time</p>
</div>
<div>
<p className="text-red-400">{formatHeartRate(activity.avg_heart_rate)}</p>
<p className="text-xs text-gray-600">HR</p>
</div>
</div>
</Link>
))}
{!recentActivities?.length && (
<p className="text-gray-600 text-sm text-center py-8">
No activities yet <Link to="/upload" className="text-blue-400 hover:underline">import some data</Link>
</p>
)}
</div>
</div>
{/* PRs snapshot */}
{records?.length > 0 && (
<div className="bg-gray-900 rounded-xl border border-gray-800 p-4">
<div className="flex items-center justify-between mb-4">
<h3 className="text-sm font-medium text-gray-300">Running PRs</h3>
<Link to="/records" className="text-xs text-blue-400 hover:underline">View all </Link>
</div>
<div className="grid grid-cols-2 sm:grid-cols-3 lg:grid-cols-5 gap-3">
{records.slice(0, 5).map(rec => (
<div key={rec.id} className="bg-gray-800/60 rounded-lg p-3 text-center">
<p className="text-xs text-gray-500 mb-1">{rec.distance_label}</p>
<p className="font-mono font-semibold text-yellow-400">{formatDuration(rec.duration_s)}</p>
</div>
))}
</div>
</div>
)}
</div>
)
}
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import { useState } from 'react'
import { useQuery } from '@tanstack/react-query'
import {
LineChart, Line, AreaChart, Area, BarChart, Bar,
XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer,
} from 'recharts'
import { format, subDays } from 'date-fns'
import api from '../utils/api'
import StatCard from '../components/ui/StatCard'
import { formatSleep, formatWeight, formatHeartRate } from '../utils/format'
const RANGES = [
{ label: '2W', days: 14 },
{ label: '1M', days: 30 },
{ label: '3M', days: 90 },
{ label: '6M', days: 180 },
{ label: '1Y', days: 365 },
]
function MetricChart({ data, dataKey, color, formatter, height = 140 }) {
return (
<ResponsiveContainer width="100%" height={height}>
<AreaChart data={data} margin={{ top: 4, right: 4, bottom: 4, left: 0 }}>
<defs>
<linearGradient id={`grad-${dataKey}`} x1="0" y1="0" x2="0" y2="1">
<stop offset="5%" stopColor={color} stopOpacity={0.3} />
<stop offset="95%" stopColor={color} stopOpacity={0} />
</linearGradient>
</defs>
<CartesianGrid strokeDasharray="3 3" stroke="#1f2937" vertical={false} />
<XAxis
dataKey="date"
tick={{ fontSize: 10, fill: '#6b7280' }}
axisLine={false}
tickLine={false}
tickFormatter={d => format(new Date(d), 'MMM d')}
interval="preserveStartEnd"
/>
<YAxis
tick={{ fontSize: 10, fill: '#6b7280' }}
axisLine={false}
tickLine={false}
width={32}
tickFormatter={formatter}
/>
<Tooltip
contentStyle={{ background: '#111827', border: '1px solid #374151', borderRadius: 8, fontSize: 12 }}
labelFormatter={d => format(new Date(d), 'MMM d, yyyy')}
formatter={v => [formatter ? formatter(v) : v?.toFixed(1)]}
/>
<Area
type="monotone"
dataKey={dataKey}
stroke={color}
strokeWidth={2}
fill={`url(#grad-${dataKey})`}
dot={false}
connectNulls={false}
isAnimationActive={false}
/>
</AreaChart>
</ResponsiveContainer>
)
}
function SleepChart({ data }) {
const chartData = data.map(d => ({
date: d.date,
deep: d.sleep_deep_s ? +(d.sleep_deep_s / 3600).toFixed(2) : null,
rem: d.sleep_rem_s ? +(d.sleep_rem_s / 3600).toFixed(2) : null,
light: d.sleep_light_s ? +(d.sleep_light_s / 3600).toFixed(2) : null,
awake: d.sleep_awake_s ? +(d.sleep_awake_s / 3600).toFixed(2) : null,
}))
return (
<ResponsiveContainer width="100%" height={140}>
<BarChart data={chartData} margin={{ top: 4, right: 4, bottom: 4, left: 0 }} barSize={6}>
<CartesianGrid strokeDasharray="3 3" stroke="#1f2937" vertical={false} />
<XAxis dataKey="date" tick={{ fontSize: 10, fill: '#6b7280' }} axisLine={false} tickLine={false}
tickFormatter={d => format(new Date(d), 'MMM d')} interval="preserveStartEnd" />
<YAxis tick={{ fontSize: 10, fill: '#6b7280' }} axisLine={false} tickLine={false} width={24}
tickFormatter={v => `${v}h`} />
<Tooltip contentStyle={{ background: '#111827', border: '1px solid #374151', borderRadius: 8, fontSize: 12 }}
labelFormatter={d => format(new Date(d), 'MMM d, yyyy')} />
<Bar dataKey="deep" name="Deep" stackId="a" fill="#6366f1" radius={[0, 0, 0, 0]} />
<Bar dataKey="rem" name="REM" stackId="a" fill="#8b5cf6" />
<Bar dataKey="light" name="Light" stackId="a" fill="#a78bfa" />
<Bar dataKey="awake" name="Awake" stackId="a" fill="#374151" radius={[2, 2, 0, 0]} />
</BarChart>
</ResponsiveContainer>
)
}
export default function HealthPage() {
const [rangeDays, setRangeDays] = useState(30)
const fromDate = subDays(new Date(), rangeDays).toISOString()
const { data: summary } = useQuery({
queryKey: ['health-summary'],
queryFn: () => api.get('/health-metrics/summary').then(r => r.data),
})
const { data: metrics } = useQuery({
queryKey: ['health-metrics', rangeDays],
queryFn: () =>
api.get('/health-metrics/', {
params: { from_date: fromDate, limit: rangeDays },
}).then(r => r.data.reverse()),
})
const latest = summary?.latest
const avg30 = summary?.avg_30d
return (
<div className="p-6 space-y-6">
<h1 className="text-2xl font-bold text-white">Health</h1>
{/* Summary cards */}
<div className="grid grid-cols-2 lg:grid-cols-4 gap-3">
<StatCard
label="Resting HR"
value={formatHeartRate(latest?.resting_hr)}
sub={avg30?.resting_hr ? `30d avg: ${Math.round(avg30.resting_hr)} bpm` : undefined}
accent="red"
/>
<StatCard
label="HRV"
value={latest?.hrv_nightly_avg ? `${Math.round(latest.hrv_nightly_avg)} ms` : '--'}
sub={latest?.hrv_status || undefined}
/>
<StatCard
label="Sleep"
value={formatSleep(latest?.sleep_duration_s)}
sub={latest?.sleep_score ? `Score: ${Math.round(latest.sleep_score)}` : undefined}
/>
<StatCard
label="Weight"
value={formatWeight(latest?.weight_kg)}
sub={latest?.body_fat_pct ? `${latest.body_fat_pct.toFixed(1)}% body fat` : undefined}
/>
<StatCard
label="VO2 Max"
value={latest?.vo2max ? latest.vo2max.toFixed(1) : '--'}
sub={latest?.fitness_age ? `Fitness age: ${latest.fitness_age}` : undefined}
accent="blue"
/>
<StatCard
label="Steps"
value={latest?.steps ? latest.steps.toLocaleString() : '--'}
sub={avg30?.steps ? `30d avg: ${Math.round(avg30.steps).toLocaleString()}` : undefined}
/>
<StatCard
label="Avg Stress"
value={latest?.avg_stress ? `${Math.round(latest.avg_stress)}` : '--'}
/>
<StatCard
label="SpO2"
value={latest?.spo2_avg ? `${latest.spo2_avg.toFixed(1)}%` : '--'}
/>
</div>
{/* Range selector */}
<div className="flex gap-2">
{RANGES.map(({ label, days }) => (
<button
key={label}
onClick={() => setRangeDays(days)}
className={`text-xs px-3 py-1.5 rounded-full border transition-colors ${
rangeDays === days
? 'bg-blue-600 border-blue-600 text-white'
: 'border-gray-700 text-gray-400 hover:text-white'
}`}
>
{label}
</button>
))}
</div>
{metrics && metrics.length > 0 ? (
<div className="grid grid-cols-1 lg:grid-cols-2 gap-4">
{/* Resting HR */}
<div className="bg-gray-900 rounded-xl border border-gray-800 p-4">
<h3 className="text-sm font-medium text-gray-300 mb-3">Resting Heart Rate</h3>
<MetricChart
data={metrics}
dataKey="resting_hr"
color="#f43f5e"
formatter={v => `${Math.round(v)} bpm`}
/>
</div>
{/* HRV */}
<div className="bg-gray-900 rounded-xl border border-gray-800 p-4">
<h3 className="text-sm font-medium text-gray-300 mb-3">HRV (nightly avg)</h3>
<MetricChart
data={metrics}
dataKey="hrv_nightly_avg"
color="#8b5cf6"
formatter={v => `${Math.round(v)} ms`}
/>
</div>
{/* Sleep */}
<div className="bg-gray-900 rounded-xl border border-gray-800 p-4">
<h3 className="text-sm font-medium text-gray-300 mb-3">Sleep Stages</h3>
<SleepChart data={metrics} />
<div className="flex gap-4 mt-2">
{[
{ label: 'Deep', color: '#6366f1' },
{ label: 'REM', color: '#8b5cf6' },
{ label: 'Light', color: '#a78bfa' },
{ label: 'Awake', color: '#374151' },
].map(({ label, color }) => (
<div key={label} className="flex items-center gap-1.5">
<div className="w-2.5 h-2.5 rounded-sm" style={{ backgroundColor: color }} />
<span className="text-xs text-gray-400">{label}</span>
</div>
))}
</div>
</div>
{/* Weight */}
<div className="bg-gray-900 rounded-xl border border-gray-800 p-4">
<h3 className="text-sm font-medium text-gray-300 mb-3">Weight</h3>
<MetricChart
data={metrics}
dataKey="weight_kg"
color="#34d399"
formatter={v => `${v.toFixed(1)} kg`}
/>
</div>
{/* VO2 Max */}
<div className="bg-gray-900 rounded-xl border border-gray-800 p-4">
<h3 className="text-sm font-medium text-gray-300 mb-3">VO2 Max</h3>
<MetricChart
data={metrics}
dataKey="vo2max"
color="#3b82f6"
formatter={v => v.toFixed(1)}
/>
</div>
{/* Steps */}
<div className="bg-gray-900 rounded-xl border border-gray-800 p-4">
<h3 className="text-sm font-medium text-gray-300 mb-3">Daily Steps</h3>
<ResponsiveContainer width="100%" height={140}>
<BarChart data={metrics} margin={{ top: 4, right: 4, bottom: 4, left: 0 }} barSize={6}>
<CartesianGrid strokeDasharray="3 3" stroke="#1f2937" vertical={false} />
<XAxis dataKey="date" tick={{ fontSize: 10, fill: '#6b7280' }} axisLine={false} tickLine={false}
tickFormatter={d => format(new Date(d), 'MMM d')} interval="preserveStartEnd" />
<YAxis tick={{ fontSize: 10, fill: '#6b7280' }} axisLine={false} tickLine={false} width={36}
tickFormatter={v => v >= 1000 ? `${(v/1000).toFixed(0)}k` : v} />
<Tooltip contentStyle={{ background: '#111827', border: '1px solid #374151', borderRadius: 8, fontSize: 12 }}
labelFormatter={d => format(new Date(d), 'MMM d, yyyy')} />
<Bar dataKey="steps" name="Steps" fill="#fbbf24" radius={[2, 2, 0, 0]} isAnimationActive={false} />
</BarChart>
</ResponsiveContainer>
</div>
</div>
) : (
<div className="text-center py-16 text-gray-600">
<p className="text-4xl mb-3">📊</p>
<p className="text-lg">No health data yet</p>
<p className="text-sm mt-1">Import a Garmin export to see your health trends</p>
</div>
)}
</div>
)
}
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import { useState } from 'react'
import { useNavigate } from 'react-router-dom'
import { useAuthStore } from '../hooks/useAuth'
import { useQuery } from '@tanstack/react-query'
import api from '../utils/api'
export default function LoginPage() {
const [username, setUsername] = useState('')
const [password, setPassword] = useState('')
const [error, setError] = useState('')
const { login, isLoading } = useAuthStore()
const navigate = useNavigate()
const { data: pocketidData } = useQuery({
queryKey: ['pocketid-available'],
queryFn: () => api.get('/auth/pocketid/available').then(r => r.data),
})
const handleSubmit = async (e) => {
e.preventDefault()
setError('')
try {
await login(username, password)
navigate('/')
} catch (err) {
setError(err.response?.data?.detail || 'Login failed')
}
}
const handlePocketID = async () => {
const { data } = await api.get('/auth/pocketid/login-url')
window.location.href = data.url
}
return (
<div className="min-h-screen bg-gray-950 flex items-center justify-center px-4">
<div className="w-full max-w-sm">
<div className="text-center mb-8">
<h1 className="text-3xl font-bold text-white">
<span className="text-blue-400">Fit</span>Tracker
</h1>
<p className="text-gray-500 mt-2 text-sm">Your personal fitness dashboard</p>
</div>
<div className="bg-gray-900 rounded-2xl p-6 border border-gray-800">
<form onSubmit={handleSubmit} className="space-y-4">
<div>
<label className="block text-xs text-gray-400 mb-1">Username</label>
<input
type="text"
value={username}
onChange={e => setUsername(e.target.value)}
className="w-full bg-gray-800 border border-gray-700 rounded-lg px-3 py-2.5 text-sm text-white focus:outline-none focus:ring-2 focus:ring-blue-500"
autoComplete="username"
required
/>
</div>
<div>
<label className="block text-xs text-gray-400 mb-1">Password</label>
<input
type="password"
value={password}
onChange={e => setPassword(e.target.value)}
className="w-full bg-gray-800 border border-gray-700 rounded-lg px-3 py-2.5 text-sm text-white focus:outline-none focus:ring-2 focus:ring-blue-500"
autoComplete="current-password"
required
/>
</div>
{error && (
<p className="text-red-400 text-xs">{error}</p>
)}
<button
type="submit"
disabled={isLoading}
className="w-full bg-blue-600 hover:bg-blue-700 disabled:opacity-50 text-white font-medium py-2.5 rounded-lg text-sm transition-colors"
>
{isLoading ? 'Signing in…' : 'Sign in'}
</button>
</form>
{pocketidData?.available && (
<>
<div className="flex items-center gap-3 my-4">
<div className="flex-1 h-px bg-gray-800" />
<span className="text-xs text-gray-600">or</span>
<div className="flex-1 h-px bg-gray-800" />
</div>
<button
onClick={handlePocketID}
className="w-full bg-gray-800 hover:bg-gray-700 text-gray-300 font-medium py-2.5 rounded-lg text-sm transition-colors flex items-center justify-center gap-2"
>
🔑 Sign in with passkey
</button>
</>
)}
</div>
</div>
</div>
)
}
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import { useState } from 'react'
import { useQuery } from '@tanstack/react-query'
import { Link } from 'react-router-dom'
import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer } from 'recharts'
import { format } from 'date-fns'
import api from '../utils/api'
import { formatDuration, formatDate } from '../utils/format'
const SPORTS = ['running', 'cycling', 'swimming']
const DISTANCE_ORDER = [
'400m', '800m', '1k', '1 mile', '3k', '5k', '10k',
'Half marathon', 'Marathon', '50k', '100k',
]
export default function RecordsPage() {
const [sport, setSport] = useState('running')
const [selectedDistance, setSelectedDistance] = useState(null)
const { data: records } = useQuery({
queryKey: ['records', sport],
queryFn: () => api.get('/records/', { params: { sport_type: sport } }).then(r => r.data),
})
const { data: history } = useQuery({
queryKey: ['record-history', selectedDistance, sport],
queryFn: () =>
api.get(`/records/history/${encodeURIComponent(selectedDistance)}`, {
params: { sport_type: sport },
}).then(r => r.data),
enabled: !!selectedDistance,
})
// Sort by standard distance order
const sortedRecords = records?.slice().sort((a, b) => {
const ai = DISTANCE_ORDER.indexOf(a.distance_label)
const bi = DISTANCE_ORDER.indexOf(b.distance_label)
return (ai === -1 ? 999 : ai) - (bi === -1 ? 999 : bi)
})
return (
<div className="p-6 space-y-6">
<h1 className="text-2xl font-bold text-white">Personal Records</h1>
{/* Sport selector */}
<div className="flex gap-2">
{SPORTS.map(s => (
<button
key={s}
onClick={() => { setSport(s); setSelectedDistance(null) }}
className={`capitalize text-sm px-4 py-1.5 rounded-full border transition-colors ${
sport === s
? 'bg-blue-600 border-blue-600 text-white'
: 'border-gray-700 text-gray-400 hover:text-white'
}`}
>
{s}
</button>
))}
</div>
{sortedRecords?.length === 0 && (
<div className="text-center py-16 text-gray-600">
<p className="text-4xl mb-3">🏆</p>
<p>No records yet import activities to track your best times</p>
</div>
)}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
{/* Records table */}
<div className="bg-gray-900 rounded-xl border border-gray-800 overflow-hidden">
<table className="w-full text-sm">
<thead>
<tr className="text-xs text-gray-500 border-b border-gray-800 bg-gray-900/80">
<th className="text-left px-4 py-3 font-medium">Distance</th>
<th className="text-right px-4 py-3 font-medium">Best time</th>
<th className="text-right px-4 py-3 font-medium">Date</th>
<th className="px-4 py-3" />
</tr>
</thead>
<tbody>
{sortedRecords?.map(rec => (
<tr
key={rec.id}
onClick={() => setSelectedDistance(rec.distance_label)}
className={`border-b border-gray-800/50 cursor-pointer transition-colors ${
selectedDistance === rec.distance_label
? 'bg-blue-900/20'
: 'hover:bg-gray-800/40'
}`}
>
<td className="px-4 py-3 font-medium text-white">{rec.distance_label}</td>
<td className="px-4 py-3 text-right font-mono text-yellow-400 font-semibold">
{formatDuration(rec.duration_s)}
</td>
<td className="px-4 py-3 text-right text-gray-400 text-xs">
{formatDate(rec.achieved_at)}
</td>
<td className="px-4 py-3 text-right">
<Link
to={`/activities/${rec.activity_id}`}
onClick={e => e.stopPropagation()}
className="text-xs text-blue-400 hover:underline"
>
View
</Link>
</td>
</tr>
))}
</tbody>
</table>
</div>
{/* Progress chart */}
<div className="bg-gray-900 rounded-xl border border-gray-800 p-4">
{selectedDistance && history ? (
<>
<h3 className="text-sm font-medium text-gray-300 mb-1">
{selectedDistance} progression
</h3>
<p className="text-xs text-gray-600 mb-4">Lower is faster</p>
{history.length > 1 ? (
<ResponsiveContainer width="100%" height={220}>
<LineChart
data={history.map(h => ({
date: h.achieved_at,
time: h.duration_s,
}))}
margin={{ top: 4, right: 4, bottom: 4, left: 8 }}
>
<CartesianGrid strokeDasharray="3 3" stroke="#1f2937" vertical={false} />
<XAxis
dataKey="date"
tick={{ fontSize: 10, fill: '#6b7280' }}
axisLine={false}
tickLine={false}
tickFormatter={d => format(new Date(d), 'MMM yy')}
/>
<YAxis
tick={{ fontSize: 10, fill: '#6b7280' }}
axisLine={false}
tickLine={false}
width={40}
tickFormatter={formatDuration}
reversed
/>
<Tooltip
contentStyle={{ background: '#111827', border: '1px solid #374151', borderRadius: 8, fontSize: 12 }}
labelFormatter={d => format(new Date(d), 'MMM d, yyyy')}
formatter={v => [formatDuration(v), 'Time']}
/>
<Line
type="monotone"
dataKey="time"
stroke="#fbbf24"
strokeWidth={2}
dot={{ fill: '#fbbf24', r: 4 }}
isAnimationActive={false}
/>
</LineChart>
</ResponsiveContainer>
) : (
<div className="flex items-center justify-center h-48 text-gray-600 text-sm">
Only one record complete more activities to see progression
</div>
)}
</>
) : (
<div className="flex items-center justify-center h-full text-gray-600 text-sm">
Select a distance to see your progression
</div>
)}
</div>
</div>
</div>
)
}
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import { useState } from 'react'
import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query'
import api from '../utils/api'
import { formatDistance, formatDuration, formatDate, formatPace } from '../utils/format'
export default function RoutesPage() {
const [selected, setSelected] = useState(null)
const [showCreate, setShowCreate] = useState(false)
const [newRoute, setNewRoute] = useState({ name: '', activity_id: '' })
const qc = useQueryClient()
const { data: routes } = useQuery({
queryKey: ['routes'],
queryFn: () => api.get('/routes/').then(r => r.data),
})
const { data: routeActivities } = useQuery({
queryKey: ['route-activities', selected?.id],
queryFn: () => api.get(`/routes/${selected.id}/activities`).then(r => r.data),
enabled: !!selected,
})
const { data: segments } = useQuery({
queryKey: ['route-segments', selected?.id],
queryFn: () => api.get(`/routes/${selected.id}/segments`).then(r => r.data),
enabled: !!selected,
})
const createRoute = useMutation({
mutationFn: (data) => api.post('/routes/', data).then(r => r.data),
onSuccess: () => {
qc.invalidateQueries({ queryKey: ['routes'] })
setShowCreate(false)
setNewRoute({ name: '', activity_id: '' })
},
})
const fastest = routeActivities?.[0]
return (
<div className="p-6 space-y-6">
<div className="flex items-center justify-between">
<h1 className="text-2xl font-bold text-white">Named Routes</h1>
<button
onClick={() => setShowCreate(true)}
className="bg-blue-600 hover:bg-blue-700 text-white text-sm px-4 py-2 rounded-lg transition-colors"
>
+ New route
</button>
</div>
{/* Create route modal */}
{showCreate && (
<div className="bg-gray-900 border border-gray-700 rounded-xl p-5 space-y-4">
<h3 className="text-sm font-semibold text-white">Create named route</h3>
<p className="text-xs text-gray-500">
Pick an activity to use as the reference GPS track. Future activities on the same route will be linked automatically.
</p>
<div className="grid grid-cols-2 gap-3">
<div>
<label className="text-xs text-gray-400 mb-1 block">Route name</label>
<input
value={newRoute.name}
onChange={e => setNewRoute(r => ({ ...r, name: e.target.value }))}
className="w-full bg-gray-800 border border-gray-700 rounded-lg px-3 py-2 text-sm text-white focus:outline-none focus:ring-2 focus:ring-blue-500"
placeholder="e.g. Morning park loop"
/>
</div>
<div>
<label className="text-xs text-gray-400 mb-1 block">Reference activity ID</label>
<input
type="number"
value={newRoute.activity_id}
onChange={e => setNewRoute(r => ({ ...r, activity_id: e.target.value }))}
className="w-full bg-gray-800 border border-gray-700 rounded-lg px-3 py-2 text-sm text-white focus:outline-none focus:ring-2 focus:ring-blue-500"
placeholder="Activity ID"
/>
</div>
</div>
<div className="flex gap-3">
<button
onClick={() => createRoute.mutate({ ...newRoute, activity_id: parseInt(newRoute.activity_id) })}
disabled={!newRoute.name || !newRoute.activity_id}
className="bg-blue-600 hover:bg-blue-700 disabled:opacity-40 text-white text-sm px-4 py-2 rounded-lg transition-colors"
>
Create
</button>
<button
onClick={() => setShowCreate(false)}
className="text-gray-400 hover:text-white text-sm px-4 py-2 rounded-lg transition-colors"
>
Cancel
</button>
</div>
</div>
)}
<div className="grid grid-cols-1 lg:grid-cols-3 gap-6">
{/* Route list */}
<div className="space-y-2">
{routes?.length === 0 && (
<div className="text-center py-12 text-gray-600">
<p className="text-3xl mb-2">🗺</p>
<p className="text-sm">No named routes yet</p>
</div>
)}
{routes?.map(route => (
<button
key={route.id}
onClick={() => setSelected(route)}
className={`w-full text-left p-4 rounded-xl border transition-all ${
selected?.id === route.id
? 'bg-blue-900/20 border-blue-700'
: 'bg-gray-900 border-gray-800 hover:border-gray-600'
}`}
>
<p className="font-medium text-white">{route.name}</p>
<div className="flex gap-3 mt-1 text-xs text-gray-500">
<span>{formatDistance(route.distance_m)}</span>
{route.sport_type && <span className="capitalize">{route.sport_type}</span>}
<span>{formatDate(route.created_at)}</span>
</div>
</button>
))}
</div>
{/* Route detail */}
{selected && (
<div className="lg:col-span-2 space-y-4">
<div className="bg-gray-900 rounded-xl border border-gray-800 p-5">
<h2 className="text-lg font-semibold text-white mb-1">{selected.name}</h2>
{selected.description && (
<p className="text-sm text-gray-400 mb-3">{selected.description}</p>
)}
{/* CR */}
{fastest && (
<div className="bg-yellow-900/20 border border-yellow-700/40 rounded-lg p-3 mb-4">
<p className="text-xs text-yellow-600 mb-1">Course record</p>
<div className="flex items-center gap-4">
<span className="text-xl font-bold text-yellow-400">
{formatDuration(fastest.duration_s)}
</span>
<span className="text-sm text-gray-400">
{formatDate(fastest.start_time)} · {formatPace(fastest.avg_speed_ms, selected.sport_type)}
</span>
</div>
</div>
)}
{/* All runs on route */}
<h3 className="text-sm font-medium text-gray-400 mb-2">
All runs ({routeActivities?.length ?? 0})
</h3>
<div className="space-y-2">
{routeActivities?.map((act, i) => (
<div
key={act.id}
className="flex items-center gap-4 py-2 border-b border-gray-800/50 text-sm"
>
<span className="text-gray-600 w-5 text-right">{i + 1}</span>
<span className="text-gray-400 flex-1">{formatDate(act.start_time)}</span>
<span className="font-mono text-white font-medium">{formatDuration(act.duration_s)}</span>
<span className="text-gray-500">{formatPace(act.avg_speed_ms, selected.sport_type)}</span>
{act.avg_heart_rate && (
<span className="text-red-400 text-xs">{Math.round(act.avg_heart_rate)} bpm</span>
)}
{i === 0 && (
<span className="text-xs bg-yellow-900/40 text-yellow-400 px-2 py-0.5 rounded-full border border-yellow-700/40">
CR
</span>
)}
</div>
))}
</div>
</div>
{/* Segments */}
{segments && segments.length > 0 && (
<div className="bg-gray-900 rounded-xl border border-gray-800 p-5">
<h3 className="text-sm font-medium text-gray-300 mb-3">Segments</h3>
<div className="space-y-2">
{segments.map(seg => (
<div key={seg.id} className="flex items-center justify-between py-2 border-b border-gray-800/50">
<div>
<p className="text-sm font-medium text-white">{seg.name}</p>
{seg.description && (
<p className="text-xs text-gray-500">{seg.description}</p>
)}
</div>
<div className="text-xs text-gray-400 text-right">
<p>{formatDistance(seg.start_distance_m)} {formatDistance(seg.end_distance_m)}</p>
<p>{formatDistance(seg.end_distance_m - seg.start_distance_m)}</p>
</div>
</div>
))}
</div>
</div>
)}
</div>
)}
</div>
</div>
)
}
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import { useState, useCallback } from 'react'
import { useDropzone } from 'react-dropzone'
import { useMutation } from '@tanstack/react-query'
import api from '../utils/api'
function UploadZone({ title, description, accept, endpoint, icon }) {
const [tasks, setTasks] = useState([])
const upload = useMutation({
mutationFn: async (file) => {
const form = new FormData()
form.append('file', file)
const { data } = await api.post(endpoint, form, {
headers: { 'Content-Type': 'multipart/form-data' },
})
return { file: file.name, ...data }
},
onSuccess: (data) => {
setTasks(t => [...t, { ...data, status: 'queued' }])
},
})
const onDrop = useCallback((accepted) => {
accepted.forEach(file => upload.mutate(file))
}, [upload])
const { getRootProps, getInputProps, isDragActive } = useDropzone({
onDrop,
accept,
multiple: true,
})
return (
<div className="bg-gray-900 rounded-xl border border-gray-800 p-5">
<div className="flex items-center gap-3 mb-3">
<span className="text-2xl">{icon}</span>
<div>
<h3 className="font-semibold text-white">{title}</h3>
<p className="text-xs text-gray-500">{description}</p>
</div>
</div>
<div
{...getRootProps()}
className={`border-2 border-dashed rounded-xl p-8 text-center cursor-pointer transition-colors ${
isDragActive
? 'border-blue-500 bg-blue-950/30'
: 'border-gray-700 hover:border-gray-500 hover:bg-gray-800/30'
}`}
>
<input {...getInputProps()} />
{isDragActive ? (
<p className="text-blue-400 text-sm">Drop files here</p>
) : (
<div>
<p className="text-gray-400 text-sm">Drag & drop files here, or click to browse</p>
<p className="text-gray-600 text-xs mt-1">
{Object.values(accept).flat().join(', ')}
</p>
</div>
)}
</div>
{upload.isPending && (
<p className="text-xs text-blue-400 mt-2 animate-pulse">Uploading</p>
)}
{tasks.length > 0 && (
<div className="mt-4 space-y-2">
{tasks.map((task, i) => (
<div key={i} className="flex items-center justify-between text-xs bg-gray-800 rounded-lg px-3 py-2">
<span className="text-gray-300 truncate flex-1">{task.file}</span>
{task.activity_tasks !== undefined && (
<span className="text-gray-500 ml-2">{task.activity_tasks} activities queued</span>
)}
<span className="ml-2 text-green-400"> Queued</span>
</div>
))}
</div>
)}
</div>
)
}
export default function UploadPage() {
return (
<div className="p-6 space-y-6">
<div>
<h1 className="text-2xl font-bold text-white">Import Data</h1>
<p className="text-gray-500 text-sm mt-1">
Import activities from Garmin or Strava. Large exports are processed in the background.
</p>
</div>
{/* How to export guides */}
<div className="grid grid-cols-1 lg:grid-cols-2 gap-4">
<div className="bg-blue-950/30 border border-blue-900/50 rounded-xl p-4 text-sm">
<h3 className="font-semibold text-blue-300 mb-2">📥 How to export from Garmin Connect</h3>
<ol className="text-gray-400 space-y-1 list-decimal list-inside text-xs">
<li>Go to Garmin Connect Profile Account</li>
<li>Scroll to Data Management Export Your Data</li>
<li>Request export and wait for the email</li>
<li>Download and upload the ZIP file below</li>
</ol>
</div>
<div className="bg-orange-950/20 border border-orange-900/40 rounded-xl p-4 text-sm">
<h3 className="font-semibold text-orange-300 mb-2">📥 How to export from Strava</h3>
<ol className="text-gray-400 space-y-1 list-decimal list-inside text-xs">
<li>Go to strava.com Settings My Account</li>
<li>Scroll to Download or Delete Your Account</li>
<li>Click "Request Your Archive"</li>
<li>Download and upload the ZIP file below</li>
</ol>
</div>
</div>
<div className="grid grid-cols-1 lg:grid-cols-2 gap-5">
{/* Single FIT/GPX */}
<UploadZone
title="Single activity"
description="Upload a .fit or .gpx file"
icon="🏃"
endpoint="/upload/activity"
accept={{
'application/octet-stream': ['.fit'],
'application/gpx+xml': ['.gpx'],
'text/xml': ['.gpx'],
}}
/>
{/* Garmin full export */}
<UploadZone
title="Garmin Connect export"
description="Upload your full Garmin data export ZIP"
icon="⌚"
endpoint="/upload/garmin-export"
accept={{ 'application/zip': ['.zip'] }}
/>
{/* Strava export */}
<UploadZone
title="Strava bulk export"
description="Upload your Strava archive ZIP"
icon="🚴"
endpoint="/upload/strava-export"
accept={{ 'application/zip': ['.zip'] }}
/>
{/* Ongoing FIT files */}
<div className="bg-gray-900 rounded-xl border border-gray-800 p-5">
<div className="flex items-center gap-3 mb-3">
<span className="text-2xl">🔄</span>
<div>
<h3 className="font-semibold text-white">Ongoing sync</h3>
<p className="text-xs text-gray-500">Automatically import new Garmin watch files</p>
</div>
</div>
<div className="space-y-3 text-xs text-gray-500">
<p>After each activity, sync your Garmin watch via USB or Garmin Express. New FIT files appear in:</p>
<code className="block bg-gray-800 rounded px-3 py-2 text-green-400 font-mono">
GARMIN/Activity/*.fit
</code>
<p>Upload individual FIT files above using the "Single activity" uploader, or set up a folder-watch script:</p>
<code className="block bg-gray-800 rounded px-3 py-2 text-green-400 font-mono whitespace-pre">
{`# Example: auto-upload new FIT files
inotifywait -m ~/Garmin/Activity/ -e create \\
--format '%f' | while read file; do
curl -X POST /api/upload/activity \\
-H "Authorization: Bearer TOKEN" \\
-F "file=@$file"
done`}
</code>
</div>
</div>
</div>
</div>
)
}
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import axios from 'axios'
const api = axios.create({
baseURL: import.meta.env.VITE_API_URL || '/api',
})
api.interceptors.request.use((config) => {
const token = localStorage.getItem('token')
if (token) {
config.headers.Authorization = `Bearer ${token}`
}
return config
})
api.interceptors.response.use(
(res) => res,
(err) => {
if (err.response?.status === 401) {
localStorage.removeItem('token')
window.location.href = '/login'
}
return Promise.reject(err)
}
)
export default api
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export function formatDuration(seconds) {
if (!seconds) return '--'
const h = Math.floor(seconds / 3600)
const m = Math.floor((seconds % 3600) / 60)
const s = Math.floor(seconds % 60)
if (h > 0) return `${h}:${String(m).padStart(2, '0')}:${String(s).padStart(2, '0')}`
return `${m}:${String(s).padStart(2, '0')}`
}
export function formatPace(speedMs, sportType = 'running') {
if (!speedMs || speedMs <= 0) return '--'
if (sportType === 'cycling') {
const kph = speedMs * 3.6
return `${kph.toFixed(1)} km/h`
}
const secsPerKm = 1000 / speedMs
const mins = Math.floor(secsPerKm / 60)
const secs = Math.floor(secsPerKm % 60)
return `${mins}:${String(secs).padStart(2, '0')} /km`
}
export function formatDistance(metres) {
if (!metres) return '--'
if (metres >= 1000) return `${(metres / 1000).toFixed(2)} km`
return `${Math.round(metres)} m`
}
export function formatElevation(metres) {
if (metres == null) return '--'
return `${Math.round(metres)} m`
}
export function formatHeartRate(bpm) {
if (!bpm) return '--'
return `${Math.round(bpm)} bpm`
}
export function formatSleep(seconds) {
if (!seconds) return '--'
const h = Math.floor(seconds / 3600)
const m = Math.round((seconds % 3600) / 60)
return `${h}h ${m}m`
}
export function formatWeight(kg) {
if (!kg) return '--'
return `${kg.toFixed(1)} kg`
}
export function formatDate(dateStr) {
if (!dateStr) return '--'
return new Date(dateStr).toLocaleDateString('en-GB', {
day: 'numeric', month: 'short', year: 'numeric',
})
}
export function formatDateTime(dateStr) {
if (!dateStr) return '--'
return new Date(dateStr).toLocaleDateString('en-GB', {
day: 'numeric', month: 'short', year: 'numeric',
hour: '2-digit', minute: '2-digit',
})
}
export function hrZoneColor(zone) {
const colors = { z1: '#60a5fa', z2: '#34d399', z3: '#fbbf24', z4: '#f97316', z5: '#f43f5e' }
return colors[zone] || '#9ca3af'
}
export function sportIcon(sportType) {
const icons = {
running: '🏃', cycling: '🚴', swimming: '🏊', hiking: '🥾',
walking: '🚶', other: '⚡',
}
return icons[sportType?.toLowerCase()] || '⚡'
}
export function sportColor(sportType) {
const colors = {
running: '#3b82f6', cycling: '#f97316', swimming: '#06b6d4',
hiking: '#84cc16', walking: '#a78bfa', other: '#6b7280',
}
return colors[sportType?.toLowerCase()] || '#6b7280'
}
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/** @type {import('tailwindcss').Config} */
export default {
content: ['./index.html', './src/**/*.{js,jsx}'],
darkMode: 'class',
theme: {
extend: {
colors: {
brand: {
50: '#eff6ff',
500: '#3b82f6',
600: '#2563eb',
700: '#1d4ed8',
},
},
},
},
plugins: [],
}
+14
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import { defineConfig } from 'vite'
import react from '@vitejs/plugin-react'
export default defineConfig({
plugins: [react()],
server: {
proxy: {
'/api': {
target: 'http://backend:8000',
changeOrigin: true,
},
},
},
})
Executable
+209
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#!/usr/bin/env bash
# FitTracker installer
# Usage: curl -fsSL https://raw.githubusercontent.com/you/fittracker/main/install.sh | bash
# Or: bash install.sh
set -euo pipefail
RED='\033[0;31m'; GREEN='\033[0;32m'; YELLOW='\033[1;33m'; CYAN='\033[0;36m'; NC='\033[0m'
BOLD='\033[1m'
info() { echo -e "${GREEN}${NC} $*"; }
warn() { echo -e "${YELLOW}!${NC} $*"; }
error() { echo -e "${RED}$*${NC}"; exit 1; }
step() { echo -e "\n${CYAN}${BOLD}── $* ──${NC}"; }
echo -e "${BOLD}"
echo " ███████╗██╗████████╗████████╗██████╗ █████╗ ██████╗██╗ ██╗███████╗██████╗ "
echo " ██╔════╝██║╚══██╔══╝╚══██╔══╝██╔══██╗██╔══██╗██╔════╝██║ ██╔╝██╔════╝██╔══██╗"
echo " █████╗ ██║ ██║ ██║ ██████╔╝███████║██║ █████╔╝ █████╗ ██████╔╝"
echo " ██╔══╝ ██║ ██║ ██║ ██╔══██╗██╔══██║██║ ██╔═██╗ ██╔══╝ ██╔══██╗"
echo " ██║ ██║ ██║ ██║ ██║ ██║██║ ██║╚██████╗██║ ██╗███████╗██║ ██║"
echo " ╚═╝ ╚═╝ ╚═╝ ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═╝ ╚═════╝╚═╝ ╚═╝╚══════╝╚═╝ ╚═╝"
echo -e "${NC}"
echo " Self-hosted fitness tracking — Garmin & Strava"
echo ""
# ── Preflight checks ──────────────────────────────────────────────────────────
step "Checking requirements"
command -v docker >/dev/null 2>&1 || error "Docker is not installed. Install from https://docs.docker.com/get-docker/"
info "Docker found: $(docker --version | head -1)"
# Check docker compose (v2 plugin or v1 standalone)
if docker compose version >/dev/null 2>&1; then
COMPOSE_CMD="docker compose"
elif command -v docker-compose >/dev/null 2>&1; then
COMPOSE_CMD="docker-compose"
else
error "Docker Compose not found. Install from https://docs.docker.com/compose/install/"
fi
info "Docker Compose found: $($COMPOSE_CMD version | head -1)"
# Check Docker daemon is running
docker info >/dev/null 2>&1 || error "Docker daemon is not running. Start Docker and retry."
info "Docker daemon is running"
# ── Install directory ─────────────────────────────────────────────────────────
step "Setting up install directory"
INSTALL_DIR="${FITTRACKER_DIR:-$HOME/fittracker}"
if [ -d "$INSTALL_DIR" ] && [ "$(ls -A "$INSTALL_DIR" 2>/dev/null)" ]; then
warn "Directory $INSTALL_DIR already exists."
read -rp " Continue and update existing install? [y/N] " confirm
[[ "$confirm" =~ ^[Yy]$ ]] || { echo "Aborted."; exit 0; }
fi
mkdir -p "$INSTALL_DIR"
cd "$INSTALL_DIR"
info "Install directory: $INSTALL_DIR"
# ── Download project files ────────────────────────────────────────────────────
step "Downloading FitTracker"
# If we're already inside the repo (files exist), skip download
if [ -f "docker-compose.yml" ]; then
info "Project files already present — skipping download"
else
# Try git first, fall back to curl
if command -v git >/dev/null 2>&1; then
git clone --depth 1 https://github.com/yourusername/fittracker.git . 2>/dev/null || {
warn "Git clone failed — copying bundled files instead"
}
fi
# Fallback: if running this script from inside a downloaded zip, the files are next to it
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
if [ "$SCRIPT_DIR" != "$INSTALL_DIR" ] && [ -f "$SCRIPT_DIR/docker-compose.yml" ]; then
cp -r "$SCRIPT_DIR"/. "$INSTALL_DIR/"
info "Copied project files from $SCRIPT_DIR"
fi
fi
[ -f "docker-compose.yml" ] || error "docker-compose.yml not found. Place install.sh inside the project directory."
info "Project files ready"
# ── Generate .env ─────────────────────────────────────────────────────────────
step "Configuring environment"
if [ -f ".env" ]; then
warn ".env already exists — skipping generation (delete it to regenerate)"
else
# Generate secure random values
if command -v openssl >/dev/null 2>&1; then
SECRET_KEY=$(openssl rand -hex 32)
DB_PASSWORD=$(openssl rand -base64 18 | tr -d '/+=')
REDIS_PASSWORD=$(openssl rand -base64 12 | tr -d '/+=')
ADMIN_PASSWORD=$(openssl rand -base64 12 | tr -d '/+=')
else
# Fallback if openssl not available
SECRET_KEY=$(cat /dev/urandom | tr -dc 'a-f0-9' | head -c 64)
DB_PASSWORD=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | head -c 18)
REDIS_PASSWORD=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | head -c 12)
ADMIN_PASSWORD=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | head -c 12)
fi
ADMIN_USERNAME="${FITTRACKER_ADMIN:-admin}"
PORT="${FITTRACKER_PORT:-80}"
cat > .env << ENV
# FitTracker configuration — generated $(date)
# Edit this file to change settings, then run: docker compose up -d
# Admin login
ADMIN_USERNAME=${ADMIN_USERNAME}
ADMIN_PASSWORD=${ADMIN_PASSWORD}
# Secrets (auto-generated — do not share)
SECRET_KEY=${SECRET_KEY}
DB_PASSWORD=${DB_PASSWORD}
DB_USER=fittracker
REDIS_PASSWORD=${REDIS_PASSWORD}
# Server
HTTP_PORT=${PORT}
ENVIRONMENT=production
# Optional: Mapbox token for satellite map tiles (free at mapbox.com)
VITE_MAPBOX_TOKEN=
# Optional: PocketID passkey authentication
# POCKETID_ISSUER=https://your-pocketid.example.com
# POCKETID_CLIENT_ID=fittracker
# POCKETID_CLIENT_SECRET=
ENV
info ".env created with secure random secrets"
# Save credentials for display at end
SHOW_CREDS=true
fi
source .env
# ── Build & start ─────────────────────────────────────────────────────────────
step "Building and starting containers"
echo " This takes 35 minutes on first run (building images)..."
echo ""
$COMPOSE_CMD up -d --build
# ── Wait for healthy ──────────────────────────────────────────────────────────
step "Waiting for services to be ready"
TIMEOUT=120
ELAPSED=0
printf " Waiting"
while ! docker inspect fittracker_backend 2>/dev/null | grep -q '"healthy"' ; do
if [ $ELAPSED -ge $TIMEOUT ]; then
echo ""
warn "Backend taking longer than expected. Check logs: docker compose logs backend"
break
fi
printf "."
sleep 3
ELAPSED=$((ELAPSED + 3))
done
echo ""
info "All services are up"
# ── Done ──────────────────────────────────────────────────────────────────────
PORT="${HTTP_PORT:-80}"
URL="http://localhost${PORT:+:${PORT}}"
[[ "$PORT" == "80" ]] && URL="http://localhost"
echo ""
echo -e "${GREEN}${BOLD}╔══════════════════════════════════════════╗${NC}"
echo -e "${GREEN}${BOLD}║ FitTracker is ready! ║${NC}"
echo -e "${GREEN}${BOLD}╚══════════════════════════════════════════╝${NC}"
echo ""
echo -e " 🌐 Open: ${CYAN}${URL}${NC}"
echo -e " 👤 Username: ${BOLD}${ADMIN_USERNAME:-admin}${NC}"
if [ "${SHOW_CREDS:-false}" = "true" ]; then
echo -e " 🔑 Password: ${BOLD}${ADMIN_PASSWORD}${NC}"
echo ""
warn "Save this password — it won't be shown again."
warn "It's also stored in: ${INSTALL_DIR}/.env"
else
echo -e " 🔑 Password: (see ${INSTALL_DIR}/.env — ADMIN_PASSWORD)"
fi
echo ""
echo " Useful commands:"
echo " docker compose logs -f # View live logs"
echo " docker compose logs backend # Backend logs only"
echo " docker compose down # Stop everything"
echo " docker compose up -d # Start again"
echo " docker compose pull && docker compose up -d --build # Update"
echo ""
echo " Import your data:"
echo " Go to ${URL} → Import → upload your Garmin export ZIP or Strava ZIP"
echo ""
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events {
worker_connections 1024;
}
http {
include /etc/nginx/mime.types;
default_type application/octet-stream;
sendfile on;
keepalive_timeout 65;
client_max_body_size 512M;
limit_req_zone $binary_remote_addr zone=api:10m rate=60r/m;
limit_req_zone $binary_remote_addr zone=upload:10m rate=10r/m;
upstream backend { server backend:8000; keepalive 32; }
upstream frontend { server frontend:80; }
server {
listen 80;
server_name _;
location /api/upload/ {
limit_req zone=upload burst=5 nodelay;
proxy_pass http://backend/api/upload/;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_read_timeout 600s;
proxy_send_timeout 600s;
client_max_body_size 512M;
}
location /api/ {
limit_req zone=api burst=20 nodelay;
proxy_pass http://backend/api/;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_read_timeout 300s;
}
location /health {
proxy_pass http://backend/health;
}
location / {
proxy_pass http://frontend;
proxy_set_header Host $host;
}
}
}
+59
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events {
worker_connections 1024;
}
http {
include /etc/nginx/mime.types;
default_type application/octet-stream;
sendfile on;
keepalive_timeout 65;
client_max_body_size 512M;
limit_req_zone $binary_remote_addr zone=api:10m rate=60r/m;
limit_req_zone $binary_remote_addr zone=upload:10m rate=10r/m;
upstream backend {
server backend:8000;
keepalive 32;
}
upstream frontend {
server frontend:80;
}
server {
listen 80;
server_name _;
location /api/upload/ {
limit_req zone=upload burst=5 nodelay;
proxy_pass http://backend/api/upload/;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_read_timeout 600s;
proxy_send_timeout 600s;
client_max_body_size 512M;
}
location /api/ {
limit_req zone=api burst=20 nodelay;
proxy_pass http://backend/api/;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_read_timeout 300s;
}
location /health {
proxy_pass http://backend/health;
proxy_set_header Host $host;
}
location / {
proxy_pass http://frontend;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
}
}
}
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#!/usr/bin/env bash
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
cd "$SCRIPT_DIR/.."
RED='\033[0;31m'; GREEN='\033[0;32m'; YELLOW='\033[1;33m'; NC='\033[0m'
info() { echo -e "${GREEN}[fittracker]${NC} $*"; }
warn() { echo -e "${YELLOW}[fittracker]${NC} $*"; }
error() { echo -e "${RED}[fittracker]${NC} $*"; exit 1; }
check_env() {
if [ ! -f .env ]; then
warn ".env not found — copying from .env.example"
cp .env.example .env
warn "Please edit .env and set required secrets, then re-run this script."
exit 1
fi
source .env
[ -z "${DB_PASSWORD:-}" ] && error "DB_PASSWORD must be set in .env"
[ -z "${SECRET_KEY:-}" ] && error "SECRET_KEY must be set in .env (use: openssl rand -hex 32)"
[ -z "${ADMIN_PASSWORD:-}" ] && error "ADMIN_PASSWORD must be set in .env"
info "Environment looks good"
}
generate_secrets() {
info "Generating .env from template..."
cp .env.example .env
SECRET=$(openssl rand -hex 32)
DB_PASS=$(openssl rand -base64 16 | tr -d '/+=')
ADMIN_PASS=$(openssl rand -base64 12 | tr -d '/+=')
REDIS_PASS=$(openssl rand -base64 12 | tr -d '/+=')
sed -i "s/changeme_generate_with_openssl_rand_hex_32/$SECRET/" .env
sed -i "s/changeme_strong_password/$DB_PASS/" .env
sed -i "s/changeme_admin_password/$ADMIN_PASS/" .env
sed -i "s/redispass/$REDIS_PASS/" .env
echo ""
echo -e "${GREEN}Generated secrets:${NC}"
echo " Admin username: admin"
echo " Admin password: $ADMIN_PASS"
echo " (saved to .env)"
echo ""
warn "Save these credentials! The admin password won't be shown again."
}
cmd_start() {
check_env
info "Starting FitTracker..."
docker compose up -d --build
info "Started! Visit http://localhost:${HTTP_PORT:-80}"
}
cmd_stop() {
info "Stopping FitTracker..."
docker compose down
}
cmd_logs() {
docker compose logs -f "${1:-}"
}
cmd_setup() {
info "First-time setup"
generate_secrets
cmd_start
}
cmd_backup() {
source .env
BACKUP_FILE="fittracker_backup_$(date +%Y%m%d_%H%M%S).sql"
info "Backing up database to $BACKUP_FILE..."
docker compose exec -T db pg_dump \
-U "${DB_USER:-fittracker}" fittracker > "$BACKUP_FILE"
info "Backup saved: $BACKUP_FILE"
}
cmd_restore() {
[ -z "${1:-}" ] && error "Usage: $0 restore <backup.sql>"
source .env
info "Restoring from $1..."
docker compose exec -T db psql \
-U "${DB_USER:-fittracker}" fittracker < "$1"
info "Restore complete"
}
cmd_update() {
info "Pulling latest and rebuilding..."
git pull
docker compose build --no-cache
docker compose up -d
info "Update complete"
}
case "${1:-help}" in
setup) cmd_setup ;;
start) cmd_start ;;
stop) cmd_stop ;;
restart) cmd_stop; cmd_start ;;
logs) cmd_logs "${2:-}" ;;
backup) cmd_backup ;;
restore) cmd_restore "${2:-}" ;;
update) cmd_update ;;
*)
echo "FitTracker management script"
echo ""
echo "Usage: $0 <command>"
echo ""
echo "Commands:"
echo " setup First-time setup (generates secrets, starts containers)"
echo " start Start all containers"
echo " stop Stop all containers"
echo " restart Restart all containers"
echo " logs Follow logs (optionally: logs backend)"
echo " backup Backup PostgreSQL database"
echo " restore Restore from backup: restore <file.sql>"
echo " update Pull and rebuild"
;;
esac