Fix duplicate detection, add wellness suffixes, add reprocess endpoint

backend/app/api/activities.py

@@ -1,6 +1,6 @@
 from fastapi import APIRouter, Depends, HTTPException, Query
 from sqlalchemy.ext.asyncio import AsyncSession
-from sqlalchemy import select, func, desc
+from sqlalchemy import select, func, desc, delete
 from pydantic import BaseModel
 from typing import Optional, List
 from datetime import datetime
@@ -126,7 +126,6 @@ async def get_data_points(
     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,
@@ -211,3 +210,38 @@ async def delete_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"}

backend/app/workers/tasks.py

@@ -24,16 +24,19 @@ celery_app.conf.update(
     worker_prefetch_multiplier=1,
 )
 
-# Garmin FIT file suffixes that are health/wellness data, not activities
 WELLNESS_SUFFIXES = (
     "_METRICS.fit",
     "_WELLNESS.fit",
     "_SLEEP.fit",
+    "_SLEEP_DATA.fit",
     "_STRESS.fit",
     "_SPO2.fit",
     "_HRV.fit",
+    "_HRV_STATUS.fit",
     "_MONITORING.fit",
     "_MONITORING_B.fit",
+    "_RESPIRATION.fit",
+    "_PULSE_OX.fit",
 )
 
 
@@ -46,7 +49,6 @@ def is_wellness_file(file_path: str) -> bool:
 def process_activity_file(self, file_path: str, user_id: int, source_type: str):
     """Parse a FIT/GPX file. Routes wellness files to health parser."""
 
-    # Route wellness/metrics files to health parser instead
     if is_wellness_file(file_path):
         parse_wellness_fit.delay(file_path, user_id)
         return {"status": "routed_to_wellness", "file": file_path}
@@ -54,7 +56,7 @@ def process_activity_file(self, file_path: str, user_id: int, source_type: str):
     from app.services.fit_parser import parse_fit_file, parse_gpx_file, calculate_hr_zones
     from app.core.database import SyncSessionLocal
     from app.models.user import Activity, ActivityDataPoint, ActivityLap
-    from sqlalchemy import select
+    from sqlalchemy import select, func
     from datetime import datetime
 
     self.update_state(state="PROGRESS", meta={"step": "parsing"})
@@ -67,25 +69,31 @@ def process_activity_file(self, file_path: str, user_id: int, source_type: str):
     except Exception as e:
         raise self.retry(exc=e, countdown=10, max_retries=3)
 
-    # Skip files with no usable activity data
     if not parsed.get("start_time"):
         return {"status": "skipped", "reason": "no start_time", "file": file_path}
 
     with SyncSessionLocal() as db:
-        # Check for duplicate by garmin activity ID
-        if parsed.get("garmin_activity_id"):
-            existing = db.execute(
-                select(Activity).where(
-                    Activity.garmin_activity_id == parsed["garmin_activity_id"]
-                )
-            ).scalar_one_or_none()
-            if existing:
-                return {"activity_id": existing.id, "status": "duplicate"}
+        start_time = datetime.fromisoformat(parsed["start_time"])
 
-        # Get user's configured max HR for accurate zone calculation
-        # Falls back to: user-set value → 220-age → activity max → 190
+        # Deduplicate by (user_id, sport_type, start_time date + within 60s)
+        existing = db.execute(
+            select(Activity).where(
+                Activity.user_id == user_id,
+                Activity.sport_type == parsed["sport_type"],
+                func.date(Activity.start_time) == start_time.date(),
+                Activity.start_time >= start_time.replace(second=0, microsecond=0),
+            )
+        ).scalar_one_or_none()
+
+        if existing:
+            return {"activity_id": existing.id, "status": "duplicate"}
+
+        # Get user max HR for zone calculation
         from app.models.user import User as UserModel
-        user_obj = db.execute(select(UserModel).where(UserModel.id == user_id)).scalar_one_or_none()
+        user_obj = db.execute(
+            select(UserModel).where(UserModel.id == user_id)
+        ).scalar_one_or_none()
+
         user_max_hr = None
         if user_obj:
             user_max_hr = user_obj.max_heart_rate
@@ -94,15 +102,9 @@ def process_activity_file(self, file_path: str, user_id: int, source_type: str):
                 age = _date.today().year - user_obj.birth_year
                 user_max_hr = 220 - age
         if not user_max_hr:
-            # Last resort: use activity max but warn this may shift zones
             user_max_hr = parsed.get("max_heart_rate") or 190
 
-        hr_zones = calculate_hr_zones(
-            parsed.get("data_points", []),
-            user_max_hr
-        )
-
-        start_time = datetime.fromisoformat(parsed["start_time"])
+        hr_zones = calculate_hr_zones(parsed.get("data_points", []), user_max_hr)
 
         activity = Activity(
             user_id=user_id,
@@ -132,11 +134,9 @@ def process_activity_file(self, file_path: str, user_id: int, source_type: str):
         db.add(activity)
         db.flush()
 
-        # Insert data points, deduping on (activity_id, timestamp)
         seen = set()
-        points = parsed.get("data_points", [])
         batch = []
-        for p in points:
+        for p in parsed.get("data_points", []):
             if not p.get("timestamp"):
                 continue
             ts = datetime.fromisoformat(p["timestamp"]) if isinstance(p["timestamp"], str) else p["timestamp"]
@@ -165,7 +165,6 @@ def process_activity_file(self, file_path: str, user_id: int, source_type: str):
             db.add_all(batch)
             db.flush()
 
-        # Laps
         for lap in parsed.get("laps", []):
             ls = datetime.fromisoformat(lap["start_time"]) if lap.get("start_time") else None
             db.add(ActivityLap(
@@ -184,7 +183,6 @@ def process_activity_file(self, file_path: str, user_id: int, source_type: str):
         activity_id = activity.id
 
     compute_personal_records.delay(activity_id, user_id, parsed)
-    # Auto route detection for running and cycling
     if parsed.get("sport_type") in ("running", "cycling", "hiking", "walking"):
         detect_route.delay(activity_id, user_id)
     return {"activity_id": activity_id, "status": "ok"}
@@ -192,16 +190,17 @@ def process_activity_file(self, file_path: str, user_id: int, source_type: str):
 
 @celery_app.task(name="parse_wellness_fit")
 def parse_wellness_fit(file_path: str, user_id: int):
-    """
-    Parse a Garmin wellness/metrics FIT file and upsert into health_metrics.
-    Uses wellness_parser which handles standard FIT + Garmin proprietary messages.
-    """
+    """Parse a Garmin wellness FIT file and upsert into health_metrics."""
     from app.services.wellness_parser import parse_wellness_fit as _parse
     from app.core.database import SyncSessionLocal
     from datetime import datetime, timezone
     from sqlalchemy import text
 
-    result = _parse(file_path)
+    try:
+        result = _parse(file_path)
+    except Exception as e:
+        return {"status": "error", "error": str(e), "file": file_path}
+
     if result.get("error"):
         return {"status": "error", "error": result["error"], "file": file_path}
 
@@ -263,30 +262,26 @@ def parse_wellness_fit(file_path: str, user_id: int):
 
     return {"status": "ok", "days_processed": len(days), "file": file_path}
 
+
 @celery_app.task(name="detect_route")
 def detect_route(activity_id: int, user_id: int):
-    """
-    After importing an activity, check if it matches any existing named routes.
-    If two+ unassigned activities match each other, auto-create a named route.
-    """
+    """Auto-detect and link activities to named routes."""
     from app.services.route_matcher import routes_are_similar
     from app.core.database import SyncSessionLocal
     from app.models.user import Activity, NamedRoute
     from sqlalchemy import select
 
     with SyncSessionLocal() as db:
-        # Get the new activity
         new_act = db.execute(
             select(Activity).where(Activity.id == activity_id)
         ).scalar_one_or_none()
+
         if not new_act or not new_act.polyline:
             return {"status": "no_polyline"}
 
-        # Already assigned to a route?
         if new_act.named_route_id:
             return {"status": "already_assigned"}
 
-        # Check against existing named routes first
         routes = db.execute(
             select(NamedRoute).where(
                 NamedRoute.user_id == user_id,
@@ -303,7 +298,6 @@ def detect_route(activity_id: int, user_id: int):
                 db.commit()
                 return {"status": "matched_existing", "route_id": route.id}
 
-        # No existing route matched - check unassigned activities for a match
         candidates = db.execute(
             select(Activity).where(
                 Activity.user_id == user_id,
@@ -311,7 +305,6 @@ def detect_route(activity_id: int, user_id: int):
                 Activity.named_route_id == None,
                 Activity.id != activity_id,
                 Activity.polyline != None,
-                # Within 20% distance
                 Activity.distance_m >= (new_act.distance_m or 0) * 0.8,
                 Activity.distance_m <= (new_act.distance_m or 0) * 1.2,
             )
@@ -322,7 +315,6 @@ def detect_route(activity_id: int, user_id: int):
                 new_act.polyline, candidate.polyline,
                 new_act.bounding_box, candidate.bounding_box,
             ):
-                # Auto-create a route from the older activity
                 older = candidate if candidate.start_time < new_act.start_time else new_act
                 newer = new_act if candidate.start_time < new_act.start_time else candidate
 
@@ -400,8 +392,8 @@ def process_garmin_health_zip(zip_path: str, user_id: int):
     import zipfile
     import json
     from app.core.database import SyncSessionLocal
-    from app.models.user import HealthMetric
     from datetime import datetime, timezone
+    from sqlalchemy import text
 
     with SyncSessionLocal() as db:
         with zipfile.ZipFile(zip_path) as zf:
@@ -423,20 +415,19 @@ def process_garmin_health_zip(zip_path: str, user_id: int):
                     except ValueError:
                         continue
 
-                    from sqlalchemy import text as _text
-                    db.execute(_text("""
+                    db.execute(text("""
                         INSERT INTO health_metrics (user_id, date, resting_hr, steps,
                             floors_climbed, active_calories, total_calories, avg_stress, spo2_avg)
                         VALUES (:user_id, :date, :resting_hr, :steps,
                             :floors, :active_cal, :total_cal, :stress, :spo2)
                         ON CONFLICT (user_id, date) DO UPDATE SET
-                            resting_hr     = COALESCE(EXCLUDED.resting_hr, health_metrics.resting_hr),
-                            steps          = COALESCE(EXCLUDED.steps, health_metrics.steps),
-                            floors_climbed = COALESCE(EXCLUDED.floors_climbed, health_metrics.floors_climbed),
+                            resting_hr      = COALESCE(EXCLUDED.resting_hr, health_metrics.resting_hr),
+                            steps           = COALESCE(EXCLUDED.steps, health_metrics.steps),
+                            floors_climbed  = COALESCE(EXCLUDED.floors_climbed, health_metrics.floors_climbed),
                             active_calories = COALESCE(EXCLUDED.active_calories, health_metrics.active_calories),
-                            total_calories = COALESCE(EXCLUDED.total_calories, health_metrics.total_calories),
-                            avg_stress     = COALESCE(EXCLUDED.avg_stress, health_metrics.avg_stress),
-                            spo2_avg       = COALESCE(EXCLUDED.spo2_avg, health_metrics.spo2_avg)
+                            total_calories  = COALESCE(EXCLUDED.total_calories, health_metrics.total_calories),
+                            avg_stress      = COALESCE(EXCLUDED.avg_stress, health_metrics.avg_stress),
+                            spo2_avg        = COALESCE(EXCLUDED.spo2_avg, health_metrics.spo2_avg)
                     """), {
                         "user_id": user_id, "date": date_dt,
                         "resting_hr": data.get("restingHeartRate"),