owain
f5d91cf8ae
Garmin Connect exports use UDSFile_*.json (not DailyMetrics) for daily wellness summaries, and pack activity FIT files inside nested sub-zips under DI-Connect-Uploaded-Files/ rather than at the top level. - process_garmin_health_zip: match UDSFile_*.json instead of DailyMetrics, handle list-of-records format, extract stress from allDayStress.aggregatorList, convert floorsAscendedInMeters to floor count - upload_garmin_export: recurse into nested .zip files to find and queue individual activity FIT files Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
623 lines
26 KiB
Python
623 lines
26 KiB
Python
"""
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Background tasks: activity ingestion, route matching, PR calculation.
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Uses synchronous SQLAlchemy because Celery's prefork model doesn't play
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well with asyncio - each worker process needs its own connection pool,
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and async pools don't survive process forks.
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"""
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from celery import Celery
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from app.core.config import settings
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celery_app = Celery(
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"milevault",
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broker=settings.redis_url,
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backend=settings.redis_url,
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)
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celery_app.conf.update(
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task_serializer="json",
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result_serializer="json",
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accept_content=["json"],
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timezone="UTC",
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enable_utc=True,
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task_track_started=True,
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worker_prefetch_multiplier=1,
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beat_schedule={
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"sync-garmin-connect": {
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"task": "sync_all_garmin_connect",
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"schedule": 1800.0, # every 30 minutes
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},
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},
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)
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WELLNESS_SUFFIXES = (
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"_METRICS.fit",
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"_WELLNESS.fit",
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"_SLEEP.fit",
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"_SLEEP_DATA.fit",
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"_STRESS.fit",
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"_SPO2.fit",
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"_HRV.fit",
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"_HRV_STATUS.fit",
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"_MONITORING.fit",
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"_MONITORING_B.fit",
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"_RESPIRATION.fit",
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"_PULSE_OX.fit",
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)
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def is_wellness_file(file_path: str) -> bool:
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name = file_path.upper()
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return any(name.endswith(s.upper()) for s in WELLNESS_SUFFIXES)
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@celery_app.task(bind=True, name="process_activity_file")
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def process_activity_file(self, file_path: str, user_id: int, source_type: str,
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garmin_activity_id: str = None):
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"""Parse a FIT/GPX file. Routes wellness files to health parser."""
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if is_wellness_file(file_path):
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parse_wellness_fit.delay(file_path, user_id)
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return {"status": "routed_to_wellness", "file": file_path}
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from app.services.fit_parser import parse_fit_file, parse_gpx_file, calculate_hr_zones
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from app.core.database import SyncSessionLocal
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from app.models.user import Activity, ActivityDataPoint, ActivityLap
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from sqlalchemy import select, func
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from datetime import datetime
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self.update_state(state="PROGRESS", meta={"step": "parsing"})
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try:
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if source_type == "fit" or file_path.endswith(".fit"):
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parsed = parse_fit_file(file_path)
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else:
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parsed = parse_gpx_file(file_path)
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except Exception as e:
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raise self.retry(exc=e, countdown=10, max_retries=3)
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if not parsed.get("start_time"):
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return {"status": "skipped", "reason": "no start_time", "file": file_path}
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with SyncSessionLocal() as db:
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start_time = datetime.fromisoformat(parsed["start_time"])
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# Deduplicate by (user_id, sport_type, start_time date + within 60s)
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existing = db.execute(
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select(Activity).where(
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Activity.user_id == user_id,
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Activity.sport_type == parsed["sport_type"],
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func.date(Activity.start_time) == start_time.date(),
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Activity.start_time >= start_time.replace(second=0, microsecond=0),
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)
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).scalar_one_or_none()
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if existing:
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# Stamp garmin_activity_id if this came from a Garmin Connect sync
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# so future syncs skip the fast-path dedup and don't re-download.
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if garmin_activity_id and not existing.garmin_activity_id:
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existing.garmin_activity_id = garmin_activity_id
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db.commit()
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return {"activity_id": existing.id, "status": "duplicate"}
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# Get user max HR for zone calculation
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from app.models.user import User as UserModel
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user_obj = db.execute(
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select(UserModel).where(UserModel.id == user_id)
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).scalar_one_or_none()
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user_max_hr = None
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if user_obj:
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user_max_hr = user_obj.max_heart_rate
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if not user_max_hr and user_obj.birth_year:
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from datetime import date as _date
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age = _date.today().year - user_obj.birth_year
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user_max_hr = 220 - age
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if not user_max_hr:
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user_max_hr = parsed.get("max_heart_rate") or 190
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hr_zones = calculate_hr_zones(parsed.get("data_points", []), user_max_hr)
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activity = Activity(
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user_id=user_id,
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name=parsed["name"],
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sport_type=parsed["sport_type"],
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garmin_activity_id=garmin_activity_id,
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start_time=start_time,
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distance_m=parsed.get("distance_m"),
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duration_s=parsed.get("duration_s"),
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elevation_gain_m=parsed.get("elevation_gain_m"),
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elevation_loss_m=parsed.get("elevation_loss_m"),
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avg_heart_rate=parsed.get("avg_heart_rate"),
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max_heart_rate=parsed.get("max_heart_rate"),
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avg_cadence=parsed.get("avg_cadence"),
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avg_power=parsed.get("avg_power"),
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normalized_power=parsed.get("normalized_power"),
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avg_speed_ms=parsed.get("avg_speed_ms"),
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max_speed_ms=parsed.get("max_speed_ms"),
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avg_temperature_c=parsed.get("avg_temperature_c"),
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calories=parsed.get("calories"),
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training_stress_score=parsed.get("training_stress_score"),
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polyline=parsed.get("polyline"),
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bounding_box=parsed.get("bounding_box"),
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source_file=file_path,
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source_type=parsed.get("source_type"),
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hr_zones=hr_zones,
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)
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db.add(activity)
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db.flush()
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seen = set()
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batch = []
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for p in parsed.get("data_points", []):
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if not p.get("timestamp"):
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continue
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ts = datetime.fromisoformat(p["timestamp"]) if isinstance(p["timestamp"], str) else p["timestamp"]
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key = (activity.id, ts)
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if key in seen:
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continue
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seen.add(key)
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batch.append(ActivityDataPoint(
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activity_id=activity.id,
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timestamp=ts,
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latitude=p.get("latitude"),
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longitude=p.get("longitude"),
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altitude_m=p.get("altitude_m"),
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heart_rate=p.get("heart_rate"),
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cadence=p.get("cadence"),
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speed_ms=p.get("speed_ms"),
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power=p.get("power"),
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temperature_c=p.get("temperature_c"),
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distance_m=p.get("distance_m"),
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))
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if len(batch) >= 500:
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db.add_all(batch)
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db.flush()
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batch = []
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if batch:
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db.add_all(batch)
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db.flush()
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for lap in parsed.get("laps", []):
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ls = datetime.fromisoformat(lap["start_time"]) if lap.get("start_time") else None
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db.add(ActivityLap(
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activity_id=activity.id,
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lap_number=lap["lap_number"],
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start_time=ls,
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duration_s=lap.get("duration_s"),
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distance_m=lap.get("distance_m"),
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avg_heart_rate=lap.get("avg_heart_rate"),
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avg_cadence=lap.get("avg_cadence"),
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avg_speed_ms=lap.get("avg_speed_ms"),
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avg_power=lap.get("avg_power"),
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))
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db.commit()
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activity_id = activity.id
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compute_personal_records.delay(activity_id, user_id, parsed)
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if parsed.get("sport_type") in ("running", "cycling", "hiking", "walking"):
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detect_route.delay(activity_id, user_id)
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return {"activity_id": activity_id, "status": "ok"}
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@celery_app.task(name="parse_wellness_fit")
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def parse_wellness_fit(file_path: str, user_id: int):
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"""Parse a Garmin wellness FIT file and upsert into health_metrics."""
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from app.services.wellness_parser import parse_wellness_fit as _parse
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from app.core.database import SyncSessionLocal
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from datetime import datetime, timezone
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from sqlalchemy import text
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try:
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result = _parse(file_path)
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except Exception as e:
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return {"status": "error", "error": str(e), "file": file_path}
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if result.get("error"):
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return {"status": "error", "error": result["error"], "file": file_path}
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days = result.get("days", {})
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if not days:
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return {"status": "no_data", "file": file_path}
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with SyncSessionLocal() as db:
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for day_date, data in days.items():
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date_dt = datetime(day_date.year, day_date.month, day_date.day, tzinfo=timezone.utc)
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db.execute(text("""
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INSERT INTO health_metrics (user_id, date, resting_hr, avg_hr_day, max_hr_day,
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avg_stress, spo2_avg, hrv_nightly_avg, hrv_5min_high, hrv_status,
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steps, floors_climbed, active_calories, total_calories,
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sleep_duration_s, sleep_deep_s, sleep_light_s, sleep_rem_s, sleep_awake_s,
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sleep_score, sleep_start, sleep_end, sleep_stages)
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VALUES (:user_id, :date, :resting_hr, :avg_hr, :max_hr,
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:avg_stress, :spo2_avg, :hrv_avg, :hrv_high, :hrv_status,
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:steps, :floors, :active_cal, :total_cal,
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:sleep_dur, :sleep_deep, :sleep_light, :sleep_rem, :sleep_awake,
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:sleep_score, :sleep_start, :sleep_end, :sleep_stages::json)
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ON CONFLICT (user_id, date) DO UPDATE SET
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resting_hr = COALESCE(EXCLUDED.resting_hr, health_metrics.resting_hr),
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avg_hr_day = COALESCE(EXCLUDED.avg_hr_day, health_metrics.avg_hr_day),
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max_hr_day = COALESCE(EXCLUDED.max_hr_day, health_metrics.max_hr_day),
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avg_stress = COALESCE(EXCLUDED.avg_stress, health_metrics.avg_stress),
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spo2_avg = COALESCE(EXCLUDED.spo2_avg, health_metrics.spo2_avg),
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hrv_nightly_avg = COALESCE(EXCLUDED.hrv_nightly_avg, health_metrics.hrv_nightly_avg),
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hrv_5min_high = COALESCE(EXCLUDED.hrv_5min_high, health_metrics.hrv_5min_high),
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hrv_status = COALESCE(EXCLUDED.hrv_status, health_metrics.hrv_status),
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steps = COALESCE(EXCLUDED.steps, health_metrics.steps),
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floors_climbed = COALESCE(EXCLUDED.floors_climbed, health_metrics.floors_climbed),
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active_calories = COALESCE(EXCLUDED.active_calories, health_metrics.active_calories),
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total_calories = GREATEST(EXCLUDED.total_calories, health_metrics.total_calories),
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sleep_duration_s = COALESCE(EXCLUDED.sleep_duration_s, health_metrics.sleep_duration_s),
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sleep_deep_s = COALESCE(EXCLUDED.sleep_deep_s, health_metrics.sleep_deep_s),
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sleep_light_s = COALESCE(EXCLUDED.sleep_light_s, health_metrics.sleep_light_s),
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sleep_rem_s = COALESCE(EXCLUDED.sleep_rem_s, health_metrics.sleep_rem_s),
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sleep_awake_s = COALESCE(EXCLUDED.sleep_awake_s, health_metrics.sleep_awake_s),
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sleep_score = COALESCE(EXCLUDED.sleep_score, health_metrics.sleep_score),
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sleep_start = COALESCE(EXCLUDED.sleep_start, health_metrics.sleep_start),
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sleep_end = COALESCE(EXCLUDED.sleep_end, health_metrics.sleep_end),
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sleep_stages = COALESCE(EXCLUDED.sleep_stages, health_metrics.sleep_stages)
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"""), {
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"user_id": user_id, "date": date_dt,
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"resting_hr": data.get("resting_hr"),
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"avg_hr": data.get("avg_hr_day"),
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"max_hr": data.get("max_hr_day"),
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"avg_stress": data.get("avg_stress"),
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"spo2_avg": data.get("spo2_avg"),
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"hrv_avg": data.get("hrv_nightly_avg"),
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"hrv_high": data.get("hrv_5min_high"),
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"hrv_status": data.get("hrv_status"),
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"steps": data.get("steps"),
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"floors": data.get("floors_climbed"),
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"active_cal": data.get("active_calories"),
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"total_cal": data.get("total_calories"),
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"sleep_dur": data.get("sleep_duration_s"),
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"sleep_deep": data.get("sleep_deep_s"),
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"sleep_light": data.get("sleep_light_s"),
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"sleep_rem": data.get("sleep_rem_s"),
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"sleep_awake": data.get("sleep_awake_s"),
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"sleep_score": data.get("sleep_score"),
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"sleep_start": data.get("sleep_start"),
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"sleep_end": data.get("sleep_end"),
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"sleep_stages": __import__('json').dumps(data.get("sleep_stages")) if data.get("sleep_stages") else None,
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})
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db.commit()
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return {"status": "ok", "days_processed": len(days), "file": file_path}
|
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|
|
|
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@celery_app.task(name="detect_route")
|
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def detect_route(activity_id: int, user_id: int):
|
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"""Auto-detect and link activities to named routes."""
|
|
from app.services.route_matcher import routes_are_similar
|
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from app.core.database import SyncSessionLocal
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from app.models.user import Activity, NamedRoute
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from sqlalchemy import select
|
|
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with SyncSessionLocal() as db:
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new_act = db.execute(
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select(Activity).where(Activity.id == activity_id)
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|
).scalar_one_or_none()
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|
|
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if not new_act or not new_act.polyline:
|
|
return {"status": "no_polyline"}
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|
|
|
if new_act.named_route_id:
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return {"status": "already_assigned"}
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routes = db.execute(
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select(NamedRoute).where(
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NamedRoute.user_id == user_id,
|
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NamedRoute.sport_type == new_act.sport_type,
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)
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).scalars().all()
|
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|
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for route in routes:
|
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if route.reference_polyline and routes_are_similar(
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new_act.polyline, route.reference_polyline,
|
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new_act.bounding_box, route.bounding_box,
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dist1=new_act.distance_m, dist2=route.distance_m,
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):
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new_act.named_route_id = route.id
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db.commit()
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return {"status": "matched_existing", "route_id": route.id}
|
|
|
|
candidates = db.execute(
|
|
select(Activity).where(
|
|
Activity.user_id == user_id,
|
|
Activity.sport_type == new_act.sport_type,
|
|
Activity.named_route_id == None,
|
|
Activity.id != activity_id,
|
|
Activity.polyline != None,
|
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Activity.distance_m >= (new_act.distance_m or 0) * 0.95,
|
|
Activity.distance_m <= (new_act.distance_m or 0) * 1.05,
|
|
)
|
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).scalars().all()
|
|
|
|
for candidate in candidates:
|
|
if routes_are_similar(
|
|
new_act.polyline, candidate.polyline,
|
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new_act.bounding_box, candidate.bounding_box,
|
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dist1=new_act.distance_m, dist2=candidate.distance_m,
|
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):
|
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older = candidate if candidate.start_time < new_act.start_time else new_act
|
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newer = new_act if candidate.start_time < new_act.start_time else candidate
|
|
|
|
route_name = f"{older.sport_type.title()} route {older.start_time.strftime('%d %b %Y')}"
|
|
new_route = NamedRoute(
|
|
user_id=user_id,
|
|
name=route_name,
|
|
sport_type=older.sport_type,
|
|
reference_polyline=older.polyline,
|
|
bounding_box=older.bounding_box,
|
|
distance_m=older.distance_m,
|
|
auto_detected=True,
|
|
)
|
|
db.add(new_route)
|
|
db.flush()
|
|
older.named_route_id = new_route.id
|
|
newer.named_route_id = new_route.id
|
|
db.commit()
|
|
return {"status": "auto_created", "route_id": new_route.id}
|
|
|
|
return {"status": "no_match"}
|
|
|
|
|
|
@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 SyncSessionLocal
|
|
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)
|
|
|
|
with SyncSessionLocal() 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
|
|
|
|
current = db.execute(
|
|
select(PersonalRecord).where(
|
|
PersonalRecord.user_id == user_id,
|
|
PersonalRecord.sport_type == sport,
|
|
PersonalRecord.distance_m == dist_m,
|
|
PersonalRecord.is_current_record == True,
|
|
)
|
|
).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,
|
|
))
|
|
db.commit()
|
|
|
|
|
|
@celery_app.task(name="process_garmin_health_zip")
|
|
def process_garmin_health_zip(zip_path: str, user_id: int):
|
|
"""Extract wellness data from a Garmin Connect export ZIP."""
|
|
import zipfile
|
|
import json
|
|
from app.core.database import SyncSessionLocal
|
|
from datetime import datetime, timezone
|
|
from sqlalchemy import text
|
|
|
|
INSERT_SQL = 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),
|
|
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)
|
|
""")
|
|
|
|
def _extract_stress(item):
|
|
stress_data = item.get("allDayStress")
|
|
if not stress_data or not isinstance(stress_data, dict):
|
|
return item.get("averageStressLevel")
|
|
for agg in stress_data.get("aggregatorList", []):
|
|
if agg.get("type") == "TOTAL":
|
|
return agg.get("averageStressLevel")
|
|
return None
|
|
|
|
def _floors_from_item(item):
|
|
# UDS format reports meters; 1 floor = 3.048 m
|
|
meters = item.get("floorsAscendedInMeters")
|
|
if meters is not None:
|
|
return round(meters / 3.048)
|
|
return item.get("floorsAscended")
|
|
|
|
def _process_record(db, item):
|
|
date_str = item.get("calendarDate") or item.get("date")
|
|
if not date_str:
|
|
return
|
|
try:
|
|
date_dt = datetime.fromisoformat(date_str).replace(tzinfo=timezone.utc)
|
|
except ValueError:
|
|
return
|
|
db.execute(INSERT_SQL, {
|
|
"user_id": user_id, "date": date_dt,
|
|
"resting_hr": item.get("restingHeartRate"),
|
|
"steps": item.get("totalSteps"),
|
|
"floors": _floors_from_item(item),
|
|
"active_cal": item.get("activeKilocalories"),
|
|
"total_cal": item.get("totalKilocalories"),
|
|
"stress": _extract_stress(item),
|
|
"spo2": item.get("avgSpo2"),
|
|
})
|
|
|
|
with SyncSessionLocal() as db:
|
|
with zipfile.ZipFile(zip_path) as zf:
|
|
for name in zf.namelist():
|
|
if not name.endswith(".json"):
|
|
continue
|
|
# Garmin Connect export stores daily summaries in UDSFile_*.json
|
|
# (DI-Connect-Aggregator). Older/alternative exports may use DailyMetrics.
|
|
is_uds = "UDSFile" in name
|
|
is_legacy = "DailyMetrics" in name
|
|
if not (is_uds or is_legacy):
|
|
continue
|
|
with zf.open(name) as f:
|
|
try:
|
|
data = json.load(f)
|
|
except Exception:
|
|
continue
|
|
# UDS files are lists of daily records; legacy format is a single object
|
|
records = data if isinstance(data, list) else [data]
|
|
for item in records:
|
|
if isinstance(item, dict):
|
|
_process_record(db, item)
|
|
db.commit()
|
|
|
|
|
|
@celery_app.task(name="sync_garmin_connect_user")
|
|
def sync_garmin_connect_user(user_id: int):
|
|
"""Sync Garmin Connect data (activities + wellness) for one user."""
|
|
from app.services.garmin_connect_sync import authenticate_garmin, sync_activities, sync_wellness
|
|
from app.core.database import SyncSessionLocal
|
|
from app.models.user import GarminConnectConfig
|
|
from app.core.config import settings
|
|
from sqlalchemy import select
|
|
from datetime import datetime, timezone
|
|
|
|
with SyncSessionLocal() as db:
|
|
cfg = db.execute(
|
|
select(GarminConnectConfig).where(GarminConnectConfig.user_id == user_id)
|
|
).scalar_one_or_none()
|
|
|
|
if not cfg or not cfg.sync_enabled:
|
|
return {"status": "skipped"}
|
|
|
|
# Snapshot config values before any intermediate commits (commits expire ORM attrs)
|
|
email = cfg.email
|
|
password_enc = cfg.password_enc
|
|
token_store = cfg.token_store
|
|
last_sync_at = cfg.last_sync_at
|
|
sync_acts = cfg.sync_activities
|
|
sync_well = cfg.sync_wellness
|
|
lookback = cfg.sync_lookback_days if cfg.sync_lookback_days is not None else 30
|
|
|
|
cfg.last_sync_status = "Connecting to Garmin..."
|
|
db.commit()
|
|
|
|
try:
|
|
garmin, new_token = authenticate_garmin(email, password_enc, token_store)
|
|
except Exception as exc:
|
|
cfg.last_sync_at = datetime.now(timezone.utc)
|
|
cfg.last_sync_status = f"Auth error: {exc}"
|
|
db.commit()
|
|
return {"status": "auth_error", "error": str(exc)}
|
|
|
|
if new_token:
|
|
cfg.token_store = new_token
|
|
db.commit()
|
|
|
|
activities_queued = 0
|
|
wellness_days = 0
|
|
errors = []
|
|
|
|
def _set_status(text):
|
|
cfg.last_sync_status = text
|
|
db.commit()
|
|
|
|
if sync_acts:
|
|
_set_status("Syncing activities...")
|
|
try:
|
|
activities_queued = sync_activities(
|
|
garmin, user_id, last_sync_at, db, settings.file_store_path,
|
|
lookback_days=lookback,
|
|
status_callback=_set_status,
|
|
)
|
|
except Exception as exc:
|
|
errors.append(f"activities: {exc}")
|
|
|
|
if sync_well:
|
|
_set_status("Syncing wellness...")
|
|
try:
|
|
wellness_days = sync_wellness(
|
|
garmin, user_id, last_sync_at, db,
|
|
lookback_days=lookback,
|
|
status_callback=_set_status,
|
|
)
|
|
except Exception as exc:
|
|
errors.append(f"wellness: {exc}")
|
|
db.rollback() # recover session so the final status commit can succeed
|
|
|
|
cfg.last_sync_at = datetime.now(timezone.utc)
|
|
cfg.last_sync_status = (
|
|
f"OK — {activities_queued} activities queued, {wellness_days} wellness days synced"
|
|
if not errors else
|
|
f"Partial — {'; '.join(errors)}"
|
|
)
|
|
db.commit()
|
|
|
|
return {"status": "ok", "activities_queued": activities_queued, "wellness_days": wellness_days}
|
|
|
|
|
|
@celery_app.task(name="sync_all_garmin_connect")
|
|
def sync_all_garmin_connect():
|
|
"""Hourly beat task: dispatch per-user sync for all enabled configs."""
|
|
from app.core.database import SyncSessionLocal
|
|
from app.models.user import GarminConnectConfig
|
|
from sqlalchemy import select
|
|
|
|
with SyncSessionLocal() as db:
|
|
configs = db.execute(
|
|
select(GarminConnectConfig).where(GarminConnectConfig.sync_enabled == True)
|
|
).scalars().all()
|
|
user_ids = [c.user_id for c in configs]
|
|
|
|
for uid in user_ids:
|
|
sync_garmin_connect_user.delay(uid)
|
|
|
|
return {"dispatched": len(user_ids)}
|
|
|
|
|
|
@celery_app.task(name="recalculate_hr_zones_for_user")
|
|
def recalculate_hr_zones_for_user(user_id: int, new_max_hr: float):
|
|
"""Recalculate hr_zones for all of a user's activities using a new max HR."""
|
|
from app.services.fit_parser import calculate_hr_zones
|
|
from app.core.database import SyncSessionLocal
|
|
from app.models.user import Activity, ActivityDataPoint
|
|
from sqlalchemy import select
|
|
|
|
with SyncSessionLocal() as db:
|
|
activities = db.execute(
|
|
select(Activity).where(Activity.user_id == user_id)
|
|
).scalars().all()
|
|
|
|
for activity in activities:
|
|
data_points = db.execute(
|
|
select(ActivityDataPoint).where(ActivityDataPoint.activity_id == activity.id)
|
|
).scalars().all()
|
|
points_dicts = [{"heart_rate": dp.heart_rate} for dp in data_points]
|
|
new_zones = calculate_hr_zones(points_dicts, new_max_hr)
|
|
if new_zones:
|
|
activity.hr_zones = new_zones
|
|
|
|
db.commit()
|