mitai-jinkendo/backend/routers/activity.py

"""
Activity Tracking Endpoints for Mitai Jinkendo

Handles workout/activity logging, statistics, and Apple Health CSV import.
"""
import csv
import io
import uuid
from typing import Optional

from fastapi import APIRouter, HTTPException, UploadFile, File, Header, Depends

from db import get_db, get_cursor, r2d
from auth import require_auth, check_feature_access, increment_feature_usage
from models import ActivityEntry
from routers.profiles import get_pid

router = APIRouter(prefix="/api/activity", tags=["activity"])


@router.get("")
def list_activity(limit: int=200, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Get activity entries for current profile."""
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute(
            "SELECT * FROM activity_log WHERE profile_id=%s ORDER BY date DESC, start_time DESC LIMIT %s", (pid,limit))
        return [r2d(r) for r in cur.fetchall()]


@router.post("")
def create_activity(e: ActivityEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Create new activity entry."""
    pid = get_pid(x_profile_id)
    eid = str(uuid.uuid4())
    d = e.model_dump()
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("""INSERT INTO activity_log
            (id,profile_id,date,start_time,end_time,activity_type,duration_min,kcal_active,kcal_resting,
             hr_avg,hr_max,distance_km,rpe,source,notes,created)
            VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,CURRENT_TIMESTAMP)""",
            (eid,pid,d['date'],d['start_time'],d['end_time'],d['activity_type'],d['duration_min'],
             d['kcal_active'],d['kcal_resting'],d['hr_avg'],d['hr_max'],d['distance_km'],
             d['rpe'],d['source'],d['notes']))
    return {"id":eid,"date":e.date}


@router.put("/{eid}")
def update_activity(eid: str, e: ActivityEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Update existing activity entry."""
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        d = e.model_dump()
        cur = get_cursor(conn)
        cur.execute(f"UPDATE activity_log SET {', '.join(f'{k}=%s' for k in d)} WHERE id=%s AND profile_id=%s",
                     list(d.values())+[eid,pid])
    return {"id":eid}


@router.delete("/{eid}")
def delete_activity(eid: str, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Delete activity entry."""
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("DELETE FROM activity_log WHERE id=%s AND profile_id=%s", (eid,pid))
    return {"ok":True}


@router.get("/stats")
def activity_stats(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Get activity statistics (last 30 entries)."""
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute(
            "SELECT * FROM activity_log WHERE profile_id=%s ORDER BY date DESC LIMIT 30", (pid,))
        rows = [r2d(r) for r in cur.fetchall()]
    if not rows: return {"count":0,"total_kcal":0,"total_min":0,"by_type":{}}
    total_kcal=sum(float(r.get('kcal_active') or 0) for r in rows)
    total_min=sum(float(r.get('duration_min') or 0) for r in rows)
    by_type={}
    for r in rows:
        t=r['activity_type']; by_type.setdefault(t,{'count':0,'kcal':0,'min':0})
        by_type[t]['count']+=1
        by_type[t]['kcal']+=float(r.get('kcal_active') or 0)
        by_type[t]['min']+=float(r.get('duration_min') or 0)
    return {"count":len(rows),"total_kcal":round(total_kcal),"total_min":round(total_min),"by_type":by_type}


@router.post("/import-csv")
async def import_activity_csv(file: UploadFile=File(...), x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Import Apple Health workout CSV."""
    pid = get_pid(x_profile_id)

    # Check feature access (v9c feature system)
    access = check_feature_access(pid, 'csv_import')
    if not access['allowed']:
        if access['reason'] == 'feature_disabled':
            raise HTTPException(403, "CSV-Import ist für dein Tier nicht verfügbar")
        elif access['reason'] == 'limit_exceeded':
            raise HTTPException(429, f"Monatliches Import-Limit erreicht ({access['limit']} Imports)")
        else:
            raise HTTPException(403, f"Zugriff verweigert: {access['reason']}")

    raw = await file.read()
    try:    text = raw.decode('utf-8')
    except: text = raw.decode('latin-1')
    if text.startswith('\ufeff'): text = text[1:]
    if not text.strip(): raise HTTPException(400,"Leere Datei")
    reader = csv.DictReader(io.StringIO(text))
    inserted = skipped = 0
    with get_db() as conn:
        cur = get_cursor(conn)
        for row in reader:
            wtype = row.get('Workout Type','').strip()
            start = row.get('Start','').strip()
            if not wtype or not start: continue
            try: date = start[:10]
            except: continue
            dur = row.get('Duration','').strip()
            duration_min = None
            if dur:
                try:
                    p = dur.split(':')
                    duration_min = round(int(p[0])*60+int(p[1])+int(p[2])/60,1)
                except: pass
            def kj(v):
                try: return round(float(v)/4.184) if v else None
                except: return None
            def tf(v):
                try: return round(float(v),1) if v else None
                except: return None
            try:
                cur.execute("""INSERT INTO activity_log
                    (id,profile_id,date,start_time,end_time,activity_type,duration_min,kcal_active,kcal_resting,
                     hr_avg,hr_max,distance_km,source,created)
                    VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,'apple_health',CURRENT_TIMESTAMP)""",
                    (str(uuid.uuid4()),pid,date,start,row.get('End',''),wtype,duration_min,
                     kj(row.get('Aktive Energie (kJ)','')),kj(row.get('Ruheeinträge (kJ)','')),
                     tf(row.get('Durchschn. Herzfrequenz (count/min)','')),
                     tf(row.get('Max. Herzfrequenz (count/min)','')),
                     tf(row.get('Distanz (km)',''))))
                inserted+=1
            except: skipped+=1

    # Increment import usage counter (v9c feature system)
    increment_feature_usage(pid, 'csv_import')

    return {"inserted":inserted,"skipped":skipped,"message":f"{inserted} Trainings importiert"}