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MileVault/backend/app/api/activities.py
T
owain 0aa27713ca
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Fix follow-ups: lap bests, segments, charts, dashboard health
- Lap bests: compare against OTHER activities on the route (exclude self),
  so single-activity routes no longer show every lap as "best"
- Segment create: POST to trailing-slash URL (was a 307 that dropped the body);
  surface errors in the UI
- PR splits: scale GPS distance stream to the activity's official distance so
  over-measured GPS no longer yields bogus split PRs
- Speed route colours: red->orange->green->blue->purple (slow->fast) with smooth
  interpolation + a Slow/Fast gradient key under the map
- Health body battery: snap activity highlight to the categorical axis;
  white tooltip text + % suffix
- Health weight: y-min = lowest weight - 20kg; st/lb hover shows total lbs too
- Health sleep: move 8h/avg reference labels into the right margin
- Dashboard: Health-today pulls latest non-null values (sleep score, VO2 max);
  body battery tile renders a condensed colour-graded intraday graph

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-08 20:39:26 +01:00

305 lines
9.5 KiB
Python

from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select, func, desc, delete
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("/stats/ytd")
async def ytd_stats(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Return year-to-date distance totals grouped by sport type."""
from datetime import date, timezone
year_start = datetime(date.today().year, 1, 1, tzinfo=timezone.utc)
result = await db.execute(
select(Activity.sport_type, func.sum(Activity.distance_m).label("total_m"))
.where(Activity.user_id == current_user.id, Activity.start_time >= year_start)
.group_by(Activity.sport_type)
)
rows = result.all()
totals = {r.sport_type: (r.total_m or 0) / 1000 for r in rows}
return {
"running_km": round(totals.get("running", 0), 2),
"cycling_km": round(totals.get("cycling", 0), 2),
"hiking_km": round(totals.get("hiking", 0), 2),
"walking_km": round(totals.get("walking", 0), 2),
"total_km": round(sum(totals.values()), 2),
}
@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),
):
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.get("/{activity_id}/lap-bests")
async def get_lap_bests(
activity_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Best (fastest) time per lap number across all activities on the same route."""
act = (await db.execute(
select(Activity).where(
Activity.id == activity_id,
Activity.user_id == current_user.id,
)
)).scalar_one_or_none()
if not act:
raise HTTPException(status_code=404, detail="Activity not found")
if not act.named_route_id:
return {}
# Best per lap number across OTHER activities on the same route, so the
# comparison is meaningful (excluding this activity from its own benchmark).
rows = (await db.execute(
select(ActivityLap.lap_number, func.min(ActivityLap.duration_s))
.join(Activity, Activity.id == ActivityLap.activity_id)
.where(
Activity.named_route_id == act.named_route_id,
Activity.user_id == current_user.id,
Activity.id != activity_id,
ActivityLap.duration_s.isnot(None),
)
.group_by(ActivityLap.lap_number)
)).all()
return {str(lap_number): best for lap_number, best in rows}
@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()
@router.post("/{activity_id}/reprocess")
async def reprocess_activity(
activity_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""Re-parse the source FIT file and update polyline, data points etc."""
import os
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")
if not activity.source_file:
raise HTTPException(status_code=400, detail="No source file stored for this activity")
if not os.path.exists(activity.source_file):
raise HTTPException(status_code=404, detail="Source file no longer exists on disk")
source_file = activity.source_file
source_type = activity.source_type or "fit"
await db.execute(delete(ActivityDataPoint).where(ActivityDataPoint.activity_id == activity_id))
await db.execute(delete(ActivityLap).where(ActivityLap.activity_id == activity_id))
await db.delete(activity)
await db.commit()
from app.workers.tasks import process_activity_file
task = process_activity_file.delay(source_file, current_user.id, source_type)
return {"task_id": task.id, "status": "queued"}