import os, csv, io, uuid
from pathlib import Path
from typing import Optional
from datetime import datetime

from fastapi import FastAPI, HTTPException, UploadFile, File, Header, Query, Depends
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import StreamingResponse, FileResponse
from pydantic import BaseModel
import aiofiles
import bcrypt
from slowapi import Limiter, _rate_limit_exceeded_handler
from slowapi.util import get_remote_address
from slowapi.errors import RateLimitExceeded
from starlette.requests import Request

from db import get_db, get_cursor, r2d

DATA_DIR   = Path(os.getenv("DATA_DIR",   "./data"))
PHOTOS_DIR = Path(os.getenv("PHOTOS_DIR", "./photos"))
DATA_DIR.mkdir(parents=True, exist_ok=True)
PHOTOS_DIR.mkdir(parents=True, exist_ok=True)

OPENROUTER_KEY   = os.getenv("OPENROUTER_API_KEY", "")
OPENROUTER_MODEL = os.getenv("OPENROUTER_MODEL", "anthropic/claude-sonnet-4")
ANTHROPIC_KEY    = os.getenv("ANTHROPIC_API_KEY", "")

app = FastAPI(title="Mitai Jinkendo API", version="3.0.0")
limiter = Limiter(key_func=get_remote_address)
app.state.limiter = limiter
app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler)
app.add_middleware(
    CORSMiddleware,
    allow_origins=os.getenv("ALLOWED_ORIGINS", "*").split(","),
    allow_credentials=True,
    allow_methods=["GET","POST","PUT","DELETE","OPTIONS"],
    allow_headers=["*"],
)

AVATAR_COLORS = ['#1D9E75','#378ADD','#D85A30','#EF9F27','#7F77DD','#D4537E','#639922','#888780']

def init_db():
    """Initialize database - Schema is loaded by startup.sh"""
    # Schema loading and migration handled by startup.sh
    # This function kept for backwards compatibility
    pass

# ── Helper: get profile_id from header ───────────────────────────────────────
def get_pid(x_profile_id: Optional[str] = Header(default=None)) -> str:
    """Get profile_id - from header for legacy endpoints."""
    if x_profile_id:
        return x_profile_id
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT id FROM profiles ORDER BY created LIMIT 1")
        row = cur.fetchone()
        if row: return row['id']
    raise HTTPException(400, "Kein Profil gefunden")

# ── Models ────────────────────────────────────────────────────────────────────
class ProfileCreate(BaseModel):
    name: str
    avatar_color: Optional[str] = '#1D9E75'
    sex: Optional[str] = 'm'
    dob: Optional[str] = None
    height: Optional[float] = 178
    goal_weight: Optional[float] = None
    goal_bf_pct: Optional[float] = None

class ProfileUpdate(BaseModel):
    name: Optional[str] = None
    avatar_color: Optional[str] = None
    sex: Optional[str] = None
    dob: Optional[str] = None
    height: Optional[float] = None
    goal_weight: Optional[float] = None
    goal_bf_pct: Optional[float] = None

class WeightEntry(BaseModel):
    date: str; weight: float; note: Optional[str]=None

class CircumferenceEntry(BaseModel):
    date: str
    c_neck: Optional[float]=None; c_chest: Optional[float]=None
    c_waist: Optional[float]=None; c_belly: Optional[float]=None
    c_hip: Optional[float]=None; c_thigh: Optional[float]=None
    c_calf: Optional[float]=None; c_arm: Optional[float]=None
    notes: Optional[str]=None; photo_id: Optional[str]=None

class CaliperEntry(BaseModel):
    date: str; sf_method: Optional[str]='jackson3'
    sf_chest: Optional[float]=None; sf_axilla: Optional[float]=None
    sf_triceps: Optional[float]=None; sf_subscap: Optional[float]=None
    sf_suprailiac: Optional[float]=None; sf_abdomen: Optional[float]=None
    sf_thigh: Optional[float]=None; sf_calf_med: Optional[float]=None
    sf_lowerback: Optional[float]=None; sf_biceps: Optional[float]=None
    body_fat_pct: Optional[float]=None; lean_mass: Optional[float]=None
    fat_mass: Optional[float]=None; notes: Optional[str]=None

class ActivityEntry(BaseModel):
    date: str; start_time: Optional[str]=None; end_time: Optional[str]=None
    activity_type: str; duration_min: Optional[float]=None
    kcal_active: Optional[float]=None; kcal_resting: Optional[float]=None
    hr_avg: Optional[float]=None; hr_max: Optional[float]=None
    distance_km: Optional[float]=None; rpe: Optional[int]=None
    source: Optional[str]='manual'; notes: Optional[str]=None

class NutritionDay(BaseModel):
    date: str; kcal: Optional[float]=None; protein_g: Optional[float]=None
    fat_g: Optional[float]=None; carbs_g: Optional[float]=None

# ── Profiles ──────────────────────────────────────────────────────────────────
import hashlib, secrets
from datetime import timedelta

def hash_pin(pin: str) -> str:
    """Hash password with bcrypt. Falls back gracefully from legacy SHA256."""
    return bcrypt.hashpw(pin.encode(), bcrypt.gensalt()).decode()

def verify_pin(pin: str, stored_hash: str) -> bool:
    """Verify password - supports both bcrypt and legacy SHA256."""
    if not stored_hash:
        return False
    # Detect bcrypt hash (starts with $2b$ or $2a$)
    if stored_hash.startswith('$2'):
        return bcrypt.checkpw(pin.encode(), stored_hash.encode())
    # Legacy SHA256 fallback - auto-upgrade on successful login
    import hashlib
    return hashlib.sha256(pin.encode()).hexdigest() == stored_hash

def make_token() -> str:
    return secrets.token_urlsafe(32)

def get_session(token: str):
    if not token: return None
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute(
            "SELECT s.*, p.role, p.name, p.ai_enabled, p.ai_limit_day, p.export_enabled "
            "FROM sessions s JOIN profiles p ON s.profile_id=p.id "
            "WHERE s.token=%s AND s.expires_at > CURRENT_TIMESTAMP", (token,)
        )
        row = cur.fetchone()
    return r2d(row)

def require_auth(x_auth_token: Optional[str]=Header(default=None)):
    session = get_session(x_auth_token)
    if not session: raise HTTPException(401, "Nicht eingeloggt")
    return session

def require_admin(x_auth_token: Optional[str]=Header(default=None)):
    session = get_session(x_auth_token)
    if not session: raise HTTPException(401, "Nicht eingeloggt")
    if session['role'] != 'admin': raise HTTPException(403, "Nur für Admins")
    return session

@app.get("/api/profiles")
def list_profiles(session=Depends(require_auth)):
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT * FROM profiles ORDER BY created")
        rows = cur.fetchall()
        return [r2d(r) for r in rows]

@app.post("/api/profiles")
def create_profile(p: ProfileCreate, session=Depends(require_auth)):
    pid = str(uuid.uuid4())
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("""INSERT INTO profiles (id,name,avatar_color,sex,dob,height,goal_weight,goal_bf_pct,created,updated)
            VALUES (%s,%s,%s,%s,%s,%s,%s,%s,CURRENT_TIMESTAMP,CURRENT_TIMESTAMP)""",
            (pid,p.name,p.avatar_color,p.sex,p.dob,p.height,p.goal_weight,p.goal_bf_pct))
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT * FROM profiles WHERE id=%s", (pid,))
        return r2d(cur.fetchone())

@app.get("/api/profiles/{pid}")
def get_profile(pid: str, session=Depends(require_auth)):
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT * FROM profiles WHERE id=%s", (pid,))
        row = cur.fetchone()
        if not row: raise HTTPException(404, "Profil nicht gefunden")
        return r2d(row)

@app.put("/api/profiles/{pid}")
def update_profile(pid: str, p: ProfileUpdate, session=Depends(require_auth)):
    with get_db() as conn:
        data = {k:v for k,v in p.model_dump().items() if v is not None}
        data['updated'] = datetime.now().isoformat()
        cur = get_cursor(conn)
        cur.execute(f"UPDATE profiles SET {', '.join(f'{k}=%s' for k in data)} WHERE id=%s",
                     list(data.values())+[pid])
    return get_profile(pid, session)

@app.delete("/api/profiles/{pid}")
def delete_profile(pid: str, session=Depends(require_auth)):
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT COUNT(*) as count FROM profiles")
        count = cur.fetchone()['count']
        if count <= 1: raise HTTPException(400, "Letztes Profil kann nicht gelöscht werden")
        for table in ['weight_log','circumference_log','caliper_log','nutrition_log','activity_log','ai_insights']:
            cur.execute(f"DELETE FROM {table} WHERE profile_id=%s", (pid,))
        cur.execute("DELETE FROM profiles WHERE id=%s", (pid,))
    return {"ok": True}

@app.get("/api/profile")
def get_active_profile(x_profile_id: Optional[str] = Header(default=None), session: dict = Depends(require_auth)):
    """Legacy endpoint – returns active profile."""
    pid = get_pid(x_profile_id)
    return get_profile(pid, session)

@app.put("/api/profile")
def update_active_profile(p: ProfileUpdate, x_profile_id: Optional[str] = Header(default=None), session: dict = Depends(require_auth)):
    pid = get_pid(x_profile_id)
    return update_profile(pid, p, session)

# ── Weight ────────────────────────────────────────────────────────────────────
@app.get("/api/weight")
def list_weight(limit: int=365, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute(
            "SELECT * FROM weight_log WHERE profile_id=%s ORDER BY date DESC LIMIT %s", (pid,limit))
        return [r2d(r) for r in cur.fetchall()]

@app.post("/api/weight")
def upsert_weight(e: WeightEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT id FROM weight_log WHERE profile_id=%s AND date=%s", (pid,e.date))
        ex = cur.fetchone()
        if ex:
            cur.execute("UPDATE weight_log SET weight=%s,note=%s WHERE id=%s", (e.weight,e.note,ex['id']))
            wid = ex['id']
        else:
            wid = str(uuid.uuid4())
            cur.execute("INSERT INTO weight_log (id,profile_id,date,weight,note,created) VALUES (%s,%s,%s,%s,%s,CURRENT_TIMESTAMP)",
                         (wid,pid,e.date,e.weight,e.note))
    return {"id":wid,"date":e.date,"weight":e.weight}

@app.put("/api/weight/{wid}")
def update_weight(wid: str, e: WeightEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("UPDATE weight_log SET date=%s,weight=%s,note=%s WHERE id=%s AND profile_id=%s",
                     (e.date,e.weight,e.note,wid,pid))
    return {"id":wid}

@app.delete("/api/weight/{wid}")
def delete_weight(wid: str, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("DELETE FROM weight_log WHERE id=%s AND profile_id=%s", (wid,pid))
    return {"ok":True}

@app.get("/api/weight/stats")
def weight_stats(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT date,weight FROM weight_log WHERE profile_id=%s ORDER BY date DESC LIMIT 90", (pid,))
        rows = cur.fetchall()
    if not rows: return {"count":0,"latest":None,"prev":None,"min":None,"max":None,"avg_7d":None}
    w=[r['weight'] for r in rows]
    return {"count":len(rows),"latest":{"date":rows[0]['date'],"weight":rows[0]['weight']},
            "prev":{"date":rows[1]['date'],"weight":rows[1]['weight']} if len(rows)>1 else None,
            "min":min(w),"max":max(w),"avg_7d":round(sum(w[:7])/min(7,len(w)),2)}

# ── Circumferences ────────────────────────────────────────────────────────────
@app.get("/api/circumferences")
def list_circs(limit: int=100, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute(
            "SELECT * FROM circumference_log WHERE profile_id=%s ORDER BY date DESC LIMIT %s", (pid,limit))
        return [r2d(r) for r in cur.fetchall()]

@app.post("/api/circumferences")
def upsert_circ(e: CircumferenceEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT id FROM circumference_log WHERE profile_id=%s AND date=%s", (pid,e.date))
        ex = cur.fetchone()
        d = e.model_dump()
        if ex:
            eid = ex['id']
            sets = ', '.join(f"{k}=%s" for k in d if k!='date')
            cur.execute(f"UPDATE circumference_log SET {sets} WHERE id=%s",
                         [v for k,v in d.items() if k!='date']+[eid])
        else:
            eid = str(uuid.uuid4())
            cur.execute("""INSERT INTO circumference_log
                (id,profile_id,date,c_neck,c_chest,c_waist,c_belly,c_hip,c_thigh,c_calf,c_arm,notes,photo_id,created)
                VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,CURRENT_TIMESTAMP)""",
                (eid,pid,d['date'],d['c_neck'],d['c_chest'],d['c_waist'],d['c_belly'],
                 d['c_hip'],d['c_thigh'],d['c_calf'],d['c_arm'],d['notes'],d['photo_id']))
    return {"id":eid,"date":e.date}

@app.put("/api/circumferences/{eid}")
def update_circ(eid: str, e: CircumferenceEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        d = e.model_dump()
        cur = get_cursor(conn)
        cur.execute(f"UPDATE circumference_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}

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

# ── Caliper ───────────────────────────────────────────────────────────────────
@app.get("/api/caliper")
def list_caliper(limit: int=100, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute(
            "SELECT * FROM caliper_log WHERE profile_id=%s ORDER BY date DESC LIMIT %s", (pid,limit))
        return [r2d(r) for r in cur.fetchall()]

@app.post("/api/caliper")
def upsert_caliper(e: CaliperEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT id FROM caliper_log WHERE profile_id=%s AND date=%s", (pid,e.date))
        ex = cur.fetchone()
        d = e.model_dump()
        if ex:
            eid = ex['id']
            sets = ', '.join(f"{k}=%s" for k in d if k!='date')
            cur.execute(f"UPDATE caliper_log SET {sets} WHERE id=%s",
                         [v for k,v in d.items() if k!='date']+[eid])
        else:
            eid = str(uuid.uuid4())
            cur.execute("""INSERT INTO caliper_log
                (id,profile_id,date,sf_method,sf_chest,sf_axilla,sf_triceps,sf_subscap,sf_suprailiac,
                 sf_abdomen,sf_thigh,sf_calf_med,sf_lowerback,sf_biceps,body_fat_pct,lean_mass,fat_mass,notes,created)
                VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,CURRENT_TIMESTAMP)""",
                (eid,pid,d['date'],d['sf_method'],d['sf_chest'],d['sf_axilla'],d['sf_triceps'],
                 d['sf_subscap'],d['sf_suprailiac'],d['sf_abdomen'],d['sf_thigh'],d['sf_calf_med'],
                 d['sf_lowerback'],d['sf_biceps'],d['body_fat_pct'],d['lean_mass'],d['fat_mass'],d['notes']))
    return {"id":eid,"date":e.date}

@app.put("/api/caliper/{eid}")
def update_caliper(eid: str, e: CaliperEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        d = e.model_dump()
        cur = get_cursor(conn)
        cur.execute(f"UPDATE caliper_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}

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

# ── Activity ──────────────────────────────────────────────────────────────────
@app.get("/api/activity")
def list_activity(limit: int=200, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    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()]

@app.post("/api/activity")
def create_activity(e: ActivityEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    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}

@app.put("/api/activity/{eid}")
def update_activity(eid: str, e: ActivityEntry, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    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}

@app.delete("/api/activity/{eid}")
def delete_activity(eid: str, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    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}

@app.get("/api/activity/stats")
def activity_stats(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    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(r.get('kcal_active') or 0 for r in rows)
    total_min=sum(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']+=r.get('kcal_active') or 0
        by_type[t]['min']+=r.get('duration_min') or 0
    return {"count":len(rows),"total_kcal":round(total_kcal),"total_min":round(total_min),"by_type":by_type}

@app.post("/api/activity/import-csv")
async def import_activity_csv(file: UploadFile=File(...), x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    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
    return {"inserted":inserted,"skipped":skipped,"message":f"{inserted} Trainings importiert"}

# ── Photos ────────────────────────────────────────────────────────────────────
@app.post("/api/photos")
async def upload_photo(file: UploadFile=File(...), date: str="",
                       x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    fid = str(uuid.uuid4())
    ext = Path(file.filename).suffix or '.jpg'
    path = PHOTOS_DIR / f"{fid}{ext}"
    async with aiofiles.open(path,'wb') as f: await f.write(await file.read())
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("INSERT INTO photos (id,profile_id,date,path,created) VALUES (%s,%s,%s,%s,CURRENT_TIMESTAMP)",
                     (fid,pid,date,str(path)))
    return {"id":fid,"date":date}

@app.get("/api/photos/{fid}")
def get_photo(fid: str, session: dict=Depends(require_auth)):
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT path FROM photos WHERE id=%s", (fid,))
        row = cur.fetchone()
        if not row: raise HTTPException(404)
        return FileResponse(row['path'])

@app.get("/api/photos")
def list_photos(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute(
            "SELECT * FROM photos WHERE profile_id=%s ORDER BY created DESC LIMIT 100", (pid,))
        return [r2d(r) for r in cur.fetchall()]

# ── Nutrition ─────────────────────────────────────────────────────────────────
def _pf(s):
    try: return float(str(s).replace(',','.').strip())
    except: return 0.0

@app.post("/api/nutrition/import-csv")
async def import_nutrition_csv(file: UploadFile=File(...), x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    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), delimiter=';')
    days: dict = {}
    count = 0
    for row in reader:
        rd = row.get('datum_tag_monat_jahr_stunde_minute','').strip().strip('"')
        if not rd: continue
        try:
            p = rd.split(' ')[0].split('.')
            iso = f"{p[2]}-{p[1]}-{p[0]}"
        except: continue
        days.setdefault(iso,{'kcal':0,'fat_g':0,'carbs_g':0,'protein_g':0})
        days[iso]['kcal']      += _pf(row.get('kj',0))/4.184
        days[iso]['fat_g']     += _pf(row.get('fett_g',0))
        days[iso]['carbs_g']   += _pf(row.get('kh_g',0))
        days[iso]['protein_g'] += _pf(row.get('protein_g',0))
        count+=1
    inserted=0
    with get_db() as conn:
        cur = get_cursor(conn)
        for iso,vals in days.items():
            kcal=round(vals['kcal'],1); fat=round(vals['fat_g'],1)
            carbs=round(vals['carbs_g'],1); prot=round(vals['protein_g'],1)
            cur.execute("SELECT id FROM nutrition_log WHERE profile_id=%s AND date=%s",(pid,iso))
            if cur.fetchone():
                cur.execute("UPDATE nutrition_log SET kcal=%s,protein_g=%s,fat_g=%s,carbs_g=%s WHERE profile_id=%s AND date=%s",
                             (kcal,prot,fat,carbs,pid,iso))
            else:
                cur.execute("INSERT INTO nutrition_log (id,profile_id,date,kcal,protein_g,fat_g,carbs_g,source,created) VALUES (%s,%s,%s,%s,%s,%s,%s,'csv',CURRENT_TIMESTAMP)",
                             (str(uuid.uuid4()),pid,iso,kcal,prot,fat,carbs))
            inserted+=1
    return {"rows_parsed":count,"days_imported":inserted,
            "date_range":{"from":min(days) if days else None,"to":max(days) if days else None}}

@app.get("/api/nutrition")
def list_nutrition(limit: int=365, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute(
            "SELECT * FROM nutrition_log WHERE profile_id=%s ORDER BY date DESC LIMIT %s", (pid,limit))
        return [r2d(r) for r in cur.fetchall()]

@app.get("/api/nutrition/correlations")
def nutrition_correlations(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT * FROM nutrition_log WHERE profile_id=%s ORDER BY date",(pid,))
        nutr={r['date']:r2d(r) for r in cur.fetchall()}
        cur.execute("SELECT date,weight FROM weight_log WHERE profile_id=%s ORDER BY date",(pid,))
        wlog={r['date']:r['weight'] for r in cur.fetchall()}
        cur.execute("SELECT date,lean_mass,body_fat_pct FROM caliper_log WHERE profile_id=%s ORDER BY date",(pid,))
        cals=sorted([r2d(r) for r in cur.fetchall()],key=lambda x:x['date'])
    all_dates=sorted(set(list(nutr)+list(wlog)))
    mi,last_cal,cal_by_date=0,{},{}
    for d in all_dates:
        while mi<len(cals) and cals[mi]['date']<=d: last_cal=cals[mi]; mi+=1
        if last_cal: cal_by_date[d]=last_cal
    result=[]
    for d in all_dates:
        if d not in nutr and d not in wlog: continue
        row={'date':d}
        if d in nutr: row.update({k:nutr[d][k] for k in ['kcal','protein_g','fat_g','carbs_g']})
        if d in wlog: row['weight']=wlog[d]
        if d in cal_by_date:
            row['lean_mass']=cal_by_date[d].get('lean_mass')
            row['body_fat_pct']=cal_by_date[d].get('body_fat_pct')
        result.append(row)
    return result

@app.get("/api/nutrition/weekly")
def nutrition_weekly(weeks: int=16, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT * FROM nutrition_log WHERE profile_id=%s ORDER BY date DESC LIMIT %s",(pid,weeks*7))
        rows=[r2d(r) for r in cur.fetchall()]
    if not rows: return []
    wm={}
    for d in rows:
        wk=datetime.strptime(d['date'],'%Y-%m-%d').strftime('%Y-W%V')
        wm.setdefault(wk,[]).append(d)
    result=[]
    for wk in sorted(wm):
        en=wm[wk]; n=len(en)
        def avg(k): return round(sum(e.get(k) or 0 for e in en)/n,1)
        result.append({'week':wk,'days':n,'kcal':avg('kcal'),'protein_g':avg('protein_g'),'fat_g':avg('fat_g'),'carbs_g':avg('carbs_g')})
    return result

# ── Stats ─────────────────────────────────────────────────────────────────────
@app.get("/api/stats")
def get_stats(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT COUNT(*) as count FROM weight_log WHERE profile_id=%s",(pid,))
        weight_count = cur.fetchone()['count']
        cur.execute("SELECT COUNT(*) as count FROM circumference_log WHERE profile_id=%s",(pid,))
        circ_count = cur.fetchone()['count']
        cur.execute("SELECT COUNT(*) as count FROM caliper_log WHERE profile_id=%s",(pid,))
        caliper_count = cur.fetchone()['count']
        cur.execute("SELECT COUNT(*) as count FROM nutrition_log WHERE profile_id=%s",(pid,))
        nutrition_count = cur.fetchone()['count']
        cur.execute("SELECT COUNT(*) as count FROM activity_log WHERE profile_id=%s",(pid,))
        activity_count = cur.fetchone()['count']
        return {
            "weight_count": weight_count,
            "circ_count": circ_count,
            "caliper_count": caliper_count,
            "nutrition_count": nutrition_count,
            "activity_count": activity_count
        }

# ── AI Insights ───────────────────────────────────────────────────────────────
import httpx, json

@app.get("/api/insights/latest")
def get_latest_insights(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Get latest AI insights across all scopes."""
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT * FROM ai_insights WHERE profile_id=%s ORDER BY created DESC LIMIT 10", (pid,))
        rows = cur.fetchall()
        return [r2d(r) for r in rows]

@app.get("/api/ai/insights/{scope}")
def get_ai_insight(scope: str, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT * FROM ai_insights WHERE profile_id=%s AND scope=%s ORDER BY created DESC LIMIT 1", (pid,scope))
        row = cur.fetchone()
        if not row: return None
        return r2d(row)

@app.delete("/api/ai/insights/{scope}")
def delete_ai_insight(scope: str, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("DELETE FROM ai_insights WHERE profile_id=%s AND scope=%s", (pid,scope))
    return {"ok":True}

def check_ai_limit(pid: str):
    """Check if profile has reached daily AI limit. Returns (allowed, limit, used)."""
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT ai_enabled, ai_limit_day FROM profiles WHERE id=%s", (pid,))
        prof = cur.fetchone()
        if not prof or not prof['ai_enabled']:
            raise HTTPException(403, "KI ist für dieses Profil deaktiviert")
        limit = prof['ai_limit_day']
        if limit is None:
            return (True, None, 0)
        today = datetime.now().date().isoformat()
        cur.execute("SELECT call_count FROM ai_usage WHERE profile_id=%s AND date=%s", (pid, today))
        usage = cur.fetchone()
        used = usage['call_count'] if usage else 0
        if used >= limit:
            raise HTTPException(429, f"Tägliches KI-Limit erreicht ({limit} Calls)")
        return (True, limit, used)

def inc_ai_usage(pid: str):
    """Increment AI usage counter for today."""
    today = datetime.now().date().isoformat()
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT id, call_count FROM ai_usage WHERE profile_id=%s AND date=%s", (pid, today))
        row = cur.fetchone()
        if row:
            cur.execute("UPDATE ai_usage SET call_count=%s WHERE id=%s", (row['call_count']+1, row['id']))
        else:
            cur.execute("INSERT INTO ai_usage (id, profile_id, date, call_count) VALUES (%s,%s,%s,1)",
                (str(uuid.uuid4()), pid, today))

def _get_profile_data(pid: str):
    """Fetch all relevant data for AI analysis."""
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT * FROM profiles WHERE id=%s", (pid,))
        prof = r2d(cur.fetchone())
        cur.execute("SELECT * FROM weight_log WHERE profile_id=%s ORDER BY date DESC LIMIT 90", (pid,))
        weight = [r2d(r) for r in cur.fetchall()]
        cur.execute("SELECT * FROM circumference_log WHERE profile_id=%s ORDER BY date DESC LIMIT 30", (pid,))
        circ = [r2d(r) for r in cur.fetchall()]
        cur.execute("SELECT * FROM caliper_log WHERE profile_id=%s ORDER BY date DESC LIMIT 30", (pid,))
        caliper = [r2d(r) for r in cur.fetchall()]
        cur.execute("SELECT * FROM nutrition_log WHERE profile_id=%s ORDER BY date DESC LIMIT 90", (pid,))
        nutrition = [r2d(r) for r in cur.fetchall()]
        cur.execute("SELECT * FROM activity_log WHERE profile_id=%s ORDER BY date DESC LIMIT 90", (pid,))
        activity = [r2d(r) for r in cur.fetchall()]
    return {
        "profile": prof,
        "weight": weight,
        "circumference": circ,
        "caliper": caliper,
        "nutrition": nutrition,
        "activity": activity
    }

def _render_template(template: str, data: dict) -> str:
    """Simple template variable replacement."""
    result = template
    for k, v in data.items():
        result = result.replace(f"{{{{{k}}}}}", str(v) if v is not None else "")
    return result

def _prepare_template_vars(data: dict) -> dict:
    """Prepare template variables from profile data."""
    prof = data['profile']
    weight = data['weight']
    circ = data['circumference']
    caliper = data['caliper']
    nutrition = data['nutrition']
    activity = data['activity']

    vars = {
        "name": prof.get('name', 'Nutzer'),
        "geschlecht": "männlich" if prof.get('sex') == 'm' else "weiblich",
        "height": prof.get('height', 178),
        "goal_weight": prof.get('goal_weight') or "nicht gesetzt",
        "goal_bf_pct": prof.get('goal_bf_pct') or "nicht gesetzt",
        "weight_aktuell": weight[0]['weight'] if weight else "keine Daten",
        "kf_aktuell": caliper[0]['body_fat_pct'] if caliper and caliper[0].get('body_fat_pct') else "unbekannt",
    }

    # Calculate age from dob
    if prof.get('dob'):
        try:
            from datetime import date
            dob = datetime.strptime(prof['dob'], '%Y-%m-%d').date()
            today = date.today()
            age = today.year - dob.year - ((today.month, today.day) < (dob.month, dob.day))
            vars['age'] = age
        except:
            vars['age'] = "unbekannt"
    else:
        vars['age'] = "unbekannt"

    # Weight trend summary
    if len(weight) >= 2:
        recent = weight[:30]
        delta = recent[0]['weight'] - recent[-1]['weight']
        vars['weight_trend'] = f"{len(recent)} Einträge, Δ30d: {delta:+.1f}kg"
    else:
        vars['weight_trend'] = "zu wenig Daten"

    # Caliper summary
    if caliper:
        c = caliper[0]
        vars['caliper_summary'] = f"KF: {c.get('body_fat_pct','?')}%, Methode: {c.get('sf_method','?')}"
    else:
        vars['caliper_summary'] = "keine Daten"

    # Circumference summary
    if circ:
        c = circ[0]
        parts = []
        for k in ['c_waist', 'c_belly', 'c_hip']:
            if c.get(k): parts.append(f"{k.split('_')[1]}: {c[k]}cm")
        vars['circ_summary'] = ", ".join(parts) if parts else "keine Daten"
    else:
        vars['circ_summary'] = "keine Daten"

    # Nutrition summary
    if nutrition:
        n = len(nutrition)
        avg_kcal = sum(d.get('kcal',0) for d in nutrition) / n
        avg_prot = sum(d.get('protein_g',0) for d in nutrition) / n
        vars['nutrition_summary'] = f"{n} Tage, Ø {avg_kcal:.0f}kcal, {avg_prot:.0f}g Protein"
        vars['nutrition_detail'] = vars['nutrition_summary']
        vars['nutrition_days'] = n
        vars['kcal_avg'] = round(avg_kcal)
        vars['protein_avg'] = round(avg_prot,1)
        vars['fat_avg'] = round(sum(d.get('fat_g',0) for d in nutrition) / n,1)
        vars['carb_avg'] = round(sum(d.get('carbs_g',0) for d in nutrition) / n,1)
    else:
        vars['nutrition_summary'] = "keine Daten"
        vars['nutrition_detail'] = "keine Daten"
        vars['nutrition_days'] = 0
        vars['kcal_avg'] = 0
        vars['protein_avg'] = 0
        vars['fat_avg'] = 0
        vars['carb_avg'] = 0

    # Protein targets
    w = weight[0]['weight'] if weight else prof.get('height',178) - 100
    vars['protein_ziel_low'] = round(w * 1.6)
    vars['protein_ziel_high'] = round(w * 2.2)

    # Activity summary
    if activity:
        n = len(activity)
        total_kcal = sum(a.get('kcal_active',0) for a in activity)
        vars['activity_summary'] = f"{n} Trainings, {total_kcal:.0f}kcal gesamt"
        vars['activity_detail'] = vars['activity_summary']
        vars['activity_kcal_summary'] = f"Ø {total_kcal/n:.0f}kcal/Training"
    else:
        vars['activity_summary'] = "keine Daten"
        vars['activity_detail'] = "keine Daten"
        vars['activity_kcal_summary'] = "keine Daten"

    return vars

@app.post("/api/ai/analyze/{slug}")
async def analyze_with_prompt(slug: str, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Run AI analysis with specified prompt template."""
    pid = get_pid(x_profile_id)
    check_ai_limit(pid)

    # Get prompt template
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT * FROM ai_prompts WHERE slug=%s AND active=true", (slug,))
        prompt_row = cur.fetchone()
        if not prompt_row:
            raise HTTPException(404, f"Prompt '{slug}' nicht gefunden")

    prompt_tmpl = prompt_row['template']
    data = _get_profile_data(pid)
    vars = _prepare_template_vars(data)
    final_prompt = _render_template(prompt_tmpl, vars)

    # Call AI
    if ANTHROPIC_KEY:
        # Use Anthropic SDK
        import anthropic
        client = anthropic.Anthropic(api_key=ANTHROPIC_KEY)
        response = client.messages.create(
            model="claude-sonnet-4-20250514",
            max_tokens=2000,
            messages=[{"role": "user", "content": final_prompt}]
        )
        content = response.content[0].text
    elif OPENROUTER_KEY:
        async with httpx.AsyncClient() as client:
            resp = await client.post("https://openrouter.ai/api/v1/chat/completions",
                headers={"Authorization": f"Bearer {OPENROUTER_KEY}"},
                json={
                    "model": OPENROUTER_MODEL,
                    "messages": [{"role": "user", "content": final_prompt}],
                    "max_tokens": 2000
                },
                timeout=60.0
            )
            if resp.status_code != 200:
                raise HTTPException(500, f"KI-Fehler: {resp.text}")
            content = resp.json()['choices'][0]['message']['content']
    else:
        raise HTTPException(500, "Keine KI-API konfiguriert")

    # Save insight
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("DELETE FROM ai_insights WHERE profile_id=%s AND scope=%s", (pid, slug))
        cur.execute("INSERT INTO ai_insights (id, profile_id, scope, content, created) VALUES (%s,%s,%s,%s,CURRENT_TIMESTAMP)",
            (str(uuid.uuid4()), pid, slug, content))

    inc_ai_usage(pid)
    return {"scope": slug, "content": content}

@app.post("/api/ai/analyze-pipeline")
async def analyze_pipeline(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Run 3-stage pipeline analysis."""
    pid = get_pid(x_profile_id)
    check_ai_limit(pid)

    data = _get_profile_data(pid)
    vars = _prepare_template_vars(data)

    # Stage 1: Parallel JSON analyses
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT slug, template FROM ai_prompts WHERE slug LIKE 'pipeline_%' AND slug NOT IN ('pipeline_synthesis','pipeline_goals') AND active=true")
        stage1_prompts = [r2d(r) for r in cur.fetchall()]

    stage1_results = {}
    for p in stage1_prompts:
        slug = p['slug']
        final_prompt = _render_template(p['template'], vars)

        if ANTHROPIC_KEY:
            import anthropic
            client = anthropic.Anthropic(api_key=ANTHROPIC_KEY)
            response = client.messages.create(
                model="claude-sonnet-4-20250514",
                max_tokens=1000,
                messages=[{"role": "user", "content": final_prompt}]
            )
            content = response.content[0].text.strip()
        elif OPENROUTER_KEY:
            async with httpx.AsyncClient() as client:
                resp = await client.post("https://openrouter.ai/api/v1/chat/completions",
                    headers={"Authorization": f"Bearer {OPENROUTER_KEY}"},
                    json={
                        "model": OPENROUTER_MODEL,
                        "messages": [{"role": "user", "content": final_prompt}],
                        "max_tokens": 1000
                    },
                    timeout=60.0
                )
                content = resp.json()['choices'][0]['message']['content'].strip()
        else:
            raise HTTPException(500, "Keine KI-API konfiguriert")

        # Try to parse JSON, fallback to raw text
        try:
            stage1_results[slug] = json.loads(content)
        except:
            stage1_results[slug] = content

    # Stage 2: Synthesis
    vars['stage1_body'] = json.dumps(stage1_results.get('pipeline_body', {}), ensure_ascii=False)
    vars['stage1_nutrition'] = json.dumps(stage1_results.get('pipeline_nutrition', {}), ensure_ascii=False)
    vars['stage1_activity'] = json.dumps(stage1_results.get('pipeline_activity', {}), ensure_ascii=False)

    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT template FROM ai_prompts WHERE slug='pipeline_synthesis' AND active=true")
        synth_row = cur.fetchone()
        if not synth_row:
            raise HTTPException(500, "Pipeline synthesis prompt not found")

    synth_prompt = _render_template(synth_row['template'], vars)

    if ANTHROPIC_KEY:
        import anthropic
        client = anthropic.Anthropic(api_key=ANTHROPIC_KEY)
        response = client.messages.create(
            model="claude-sonnet-4-20250514",
            max_tokens=2000,
            messages=[{"role": "user", "content": synth_prompt}]
        )
        synthesis = response.content[0].text
    elif OPENROUTER_KEY:
        async with httpx.AsyncClient() as client:
            resp = await client.post("https://openrouter.ai/api/v1/chat/completions",
                headers={"Authorization": f"Bearer {OPENROUTER_KEY}"},
                json={
                    "model": OPENROUTER_MODEL,
                    "messages": [{"role": "user", "content": synth_prompt}],
                    "max_tokens": 2000
                },
                timeout=60.0
            )
            synthesis = resp.json()['choices'][0]['message']['content']
    else:
        raise HTTPException(500, "Keine KI-API konfiguriert")

    # Stage 3: Goals (only if goals are set)
    goals_text = None
    prof = data['profile']
    if prof.get('goal_weight') or prof.get('goal_bf_pct'):
        with get_db() as conn:
            cur = get_cursor(conn)
            cur.execute("SELECT template FROM ai_prompts WHERE slug='pipeline_goals' AND active=true")
            goals_row = cur.fetchone()
            if goals_row:
                goals_prompt = _render_template(goals_row['template'], vars)

                if ANTHROPIC_KEY:
                    import anthropic
                    client = anthropic.Anthropic(api_key=ANTHROPIC_KEY)
                    response = client.messages.create(
                        model="claude-sonnet-4-20250514",
                        max_tokens=800,
                        messages=[{"role": "user", "content": goals_prompt}]
                    )
                    goals_text = response.content[0].text
                elif OPENROUTER_KEY:
                    async with httpx.AsyncClient() as client:
                        resp = await client.post("https://openrouter.ai/api/v1/chat/completions",
                            headers={"Authorization": f"Bearer {OPENROUTER_KEY}"},
                            json={
                                "model": OPENROUTER_MODEL,
                                "messages": [{"role": "user", "content": goals_prompt}],
                                "max_tokens": 800
                            },
                            timeout=60.0
                        )
                        goals_text = resp.json()['choices'][0]['message']['content']

    # Combine synthesis + goals
    final_content = synthesis
    if goals_text:
        final_content += "\n\n" + goals_text

    # Save as 'gesamt' scope
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("DELETE FROM ai_insights WHERE profile_id=%s AND scope='gesamt'", (pid,))
        cur.execute("INSERT INTO ai_insights (id, profile_id, scope, content, created) VALUES (%s,%s,'gesamt',%s,CURRENT_TIMESTAMP)",
            (str(uuid.uuid4()), pid, final_content))

    inc_ai_usage(pid)
    return {"scope": "gesamt", "content": final_content, "stage1": stage1_results}

@app.get("/api/prompts")
def list_prompts(session: dict=Depends(require_auth)):
    """List all available AI prompts."""
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT * FROM ai_prompts WHERE active=true AND slug NOT LIKE 'pipeline_%' ORDER BY sort_order")
        return [r2d(r) for r in cur.fetchall()]

@app.get("/api/ai/usage")
def get_ai_usage(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Get AI usage stats for current profile."""
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT ai_limit_day FROM profiles WHERE id=%s", (pid,))
        prof = cur.fetchone()
        limit = prof['ai_limit_day'] if prof else None

        today = datetime.now().date().isoformat()
        cur.execute("SELECT call_count FROM ai_usage WHERE profile_id=%s AND date=%s", (pid, today))
        usage = cur.fetchone()
        used = usage['call_count'] if usage else 0

        cur.execute("SELECT date, call_count FROM ai_usage WHERE profile_id=%s ORDER BY date DESC LIMIT 30", (pid,))
        history = [r2d(r) for r in cur.fetchall()]

    return {
        "limit": limit,
        "used_today": used,
        "remaining": (limit - used) if limit else None,
        "history": history
    }

# ── Auth ──────────────────────────────────────────────────────────────────────
class LoginRequest(BaseModel):
    email: str
    password: str

class PasswordResetRequest(BaseModel):
    email: str

class PasswordResetConfirm(BaseModel):
    token: str
    new_password: str

@app.post("/api/auth/login")
@limiter.limit("5/minute")
async def login(req: LoginRequest, request: Request):
    """Login with email + password."""
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT * FROM profiles WHERE email=%s", (req.email.lower().strip(),))
        prof = cur.fetchone()
        if not prof:
            raise HTTPException(401, "Ungültige Zugangsdaten")

        # Verify password
        if not verify_pin(req.password, prof['pin_hash']):
            raise HTTPException(401, "Ungültige Zugangsdaten")

        # Auto-upgrade from SHA256 to bcrypt
        if prof['pin_hash'] and not prof['pin_hash'].startswith('$2'):
            new_hash = hash_pin(req.password)
            cur.execute("UPDATE profiles SET pin_hash=%s WHERE id=%s", (new_hash, prof['id']))

        # Create session
        token = make_token()
        session_days = prof.get('session_days', 30)
        expires = datetime.now() + timedelta(days=session_days)
        cur.execute("INSERT INTO sessions (token, profile_id, expires_at, created) VALUES (%s,%s,%s,CURRENT_TIMESTAMP)",
            (token, prof['id'], expires.isoformat()))

    return {
        "token": token,
        "profile_id": prof['id'],
        "name": prof['name'],
        "role": prof['role'],
        "expires_at": expires.isoformat()
    }

@app.post("/api/auth/logout")
def logout(x_auth_token: Optional[str]=Header(default=None)):
    """Logout (delete session)."""
    if x_auth_token:
        with get_db() as conn:
            cur = get_cursor(conn)
            cur.execute("DELETE FROM sessions WHERE token=%s", (x_auth_token,))
    return {"ok": True}

@app.get("/api/auth/me")
def get_me(session: dict=Depends(require_auth)):
    """Get current user info."""
    pid = session['profile_id']
    return get_profile(pid, session)

@app.get("/api/auth/status")
def auth_status():
    """Health check endpoint."""
    return {"status": "ok", "service": "mitai-jinkendo", "version": "v9b"}

@app.post("/api/auth/password-reset-request")
@limiter.limit("3/minute")
async def password_reset_request(req: PasswordResetRequest, request: Request):
    """Request password reset email."""
    email = req.email.lower().strip()
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT id, name FROM profiles WHERE email=%s", (email,))
        prof = cur.fetchone()
        if not prof:
            # Don't reveal if email exists
            return {"ok": True, "message": "Falls die E-Mail existiert, wurde ein Reset-Link gesendet."}

        # Generate reset token
        token = secrets.token_urlsafe(32)
        expires = datetime.now() + timedelta(hours=1)

        # Store in sessions table (reuse mechanism)
        cur.execute("INSERT INTO sessions (token, profile_id, expires_at, created) VALUES (%s,%s,%s,CURRENT_TIMESTAMP)",
            (f"reset_{token}", prof['id'], expires.isoformat()))

    # Send email
    try:
        import smtplib
        from email.mime.text import MIMEText
        smtp_host = os.getenv("SMTP_HOST")
        smtp_port = int(os.getenv("SMTP_PORT", 587))
        smtp_user = os.getenv("SMTP_USER")
        smtp_pass = os.getenv("SMTP_PASS")
        smtp_from = os.getenv("SMTP_FROM")
        app_url = os.getenv("APP_URL", "https://mitai.jinkendo.de")

        if smtp_host and smtp_user and smtp_pass:
            msg = MIMEText(f"""Hallo {prof['name']},

Du hast einen Passwort-Reset angefordert.

Reset-Link: {app_url}/reset-password?token={token}

Der Link ist 1 Stunde gültig.

Falls du diese Anfrage nicht gestellt hast, ignoriere diese E-Mail.

Dein Mitai Jinkendo Team
""")
            msg['Subject'] = "Passwort zurücksetzen – Mitai Jinkendo"
            msg['From'] = smtp_from
            msg['To'] = email

            with smtplib.SMTP(smtp_host, smtp_port) as server:
                server.starttls()
                server.login(smtp_user, smtp_pass)
                server.send_message(msg)
    except Exception as e:
        print(f"Email error: {e}")

    return {"ok": True, "message": "Falls die E-Mail existiert, wurde ein Reset-Link gesendet."}

@app.post("/api/auth/password-reset-confirm")
def password_reset_confirm(req: PasswordResetConfirm):
    """Confirm password reset with token."""
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT profile_id FROM sessions WHERE token=%s AND expires_at > CURRENT_TIMESTAMP",
            (f"reset_{req.token}",))
        sess = cur.fetchone()
        if not sess:
            raise HTTPException(400, "Ungültiger oder abgelaufener Reset-Link")

        pid = sess['profile_id']
        new_hash = hash_pin(req.new_password)
        cur.execute("UPDATE profiles SET pin_hash=%s WHERE id=%s", (new_hash, pid))
        cur.execute("DELETE FROM sessions WHERE token=%s", (f"reset_{req.token}",))

    return {"ok": True, "message": "Passwort erfolgreich zurückgesetzt"}

# ── Admin ─────────────────────────────────────────────────────────────────────
class AdminProfileUpdate(BaseModel):
    role: Optional[str] = None
    ai_enabled: Optional[int] = None
    ai_limit_day: Optional[int] = None
    export_enabled: Optional[int] = None

@app.get("/api/admin/profiles")
def admin_list_profiles(session: dict=Depends(require_admin)):
    """Admin: List all profiles with stats."""
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT * FROM profiles ORDER BY created")
        profs = [r2d(r) for r in cur.fetchall()]

        for p in profs:
            pid = p['id']
            cur.execute("SELECT COUNT(*) as count FROM weight_log WHERE profile_id=%s", (pid,))
            p['weight_count'] = cur.fetchone()['count']
            cur.execute("SELECT COUNT(*) as count FROM ai_insights WHERE profile_id=%s", (pid,))
            p['ai_insights_count'] = cur.fetchone()['count']

            today = datetime.now().date().isoformat()
            cur.execute("SELECT call_count FROM ai_usage WHERE profile_id=%s AND date=%s", (pid, today))
            usage = cur.fetchone()
            p['ai_usage_today'] = usage['call_count'] if usage else 0

    return profs

@app.put("/api/admin/profiles/{pid}")
def admin_update_profile(pid: str, data: AdminProfileUpdate, session: dict=Depends(require_admin)):
    """Admin: Update profile settings."""
    with get_db() as conn:
        updates = {k:v for k,v in data.model_dump().items() if v is not None}
        if not updates:
            return {"ok": True}

        cur = get_cursor(conn)
        cur.execute(f"UPDATE profiles SET {', '.join(f'{k}=%s' for k in updates)} WHERE id=%s",
            list(updates.values()) + [pid])

    return {"ok": True}

@app.post("/api/admin/test-email")
def admin_test_email(email: str, session: dict=Depends(require_admin)):
    """Admin: Send test email."""
    try:
        import smtplib
        from email.mime.text import MIMEText
        smtp_host = os.getenv("SMTP_HOST")
        smtp_port = int(os.getenv("SMTP_PORT", 587))
        smtp_user = os.getenv("SMTP_USER")
        smtp_pass = os.getenv("SMTP_PASS")
        smtp_from = os.getenv("SMTP_FROM")

        if not smtp_host or not smtp_user or not smtp_pass:
            raise HTTPException(500, "SMTP nicht konfiguriert")

        msg = MIMEText("Dies ist eine Test-E-Mail von Mitai Jinkendo.")
        msg['Subject'] = "Test-E-Mail"
        msg['From'] = smtp_from
        msg['To'] = email

        with smtplib.SMTP(smtp_host, smtp_port) as server:
            server.starttls()
            server.login(smtp_user, smtp_pass)
            server.send_message(msg)

        return {"ok": True, "message": f"Test-E-Mail an {email} gesendet"}
    except Exception as e:
        raise HTTPException(500, f"Fehler beim Senden: {str(e)}")

# ── Export ────────────────────────────────────────────────────────────────────
@app.get("/api/export/csv")
def export_csv(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Export all data as CSV."""
    pid = get_pid(x_profile_id)

    # Check export permission
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT export_enabled FROM profiles WHERE id=%s", (pid,))
        prof = cur.fetchone()
        if not prof or not prof['export_enabled']:
            raise HTTPException(403, "Export ist für dieses Profil deaktiviert")

    # Build CSV
    output = io.StringIO()
    writer = csv.writer(output)

    # Header
    writer.writerow(["Typ", "Datum", "Wert", "Details"])

    # Weight
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("SELECT date, weight, note FROM weight_log WHERE profile_id=%s ORDER BY date", (pid,))
        for r in cur.fetchall():
            writer.writerow(["Gewicht", r['date'], f"{r['weight']}kg", r['note'] or ""])

        # Circumferences
        cur.execute("SELECT date, c_waist, c_belly, c_hip FROM circumference_log WHERE profile_id=%s ORDER BY date", (pid,))
        for r in cur.fetchall():
            details = f"Taille:{r['c_waist']}cm Bauch:{r['c_belly']}cm Hüfte:{r['c_hip']}cm"
            writer.writerow(["Umfänge", r['date'], "", details])

        # Caliper
        cur.execute("SELECT date, body_fat_pct, lean_mass FROM caliper_log WHERE profile_id=%s ORDER BY date", (pid,))
        for r in cur.fetchall():
            writer.writerow(["Caliper", r['date'], f"{r['body_fat_pct']}%", f"Magermasse:{r['lean_mass']}kg"])

        # Nutrition
        cur.execute("SELECT date, kcal, protein_g FROM nutrition_log WHERE profile_id=%s ORDER BY date", (pid,))
        for r in cur.fetchall():
            writer.writerow(["Ernährung", r['date'], f"{r['kcal']}kcal", f"Protein:{r['protein_g']}g"])

        # Activity
        cur.execute("SELECT date, activity_type, duration_min, kcal_active FROM activity_log WHERE profile_id=%s ORDER BY date", (pid,))
        for r in cur.fetchall():
            writer.writerow(["Training", r['date'], r['activity_type'], f"{r['duration_min']}min {r['kcal_active']}kcal"])

    output.seek(0)
    return StreamingResponse(
        iter([output.getvalue()]),
        media_type="text/csv",
        headers={"Content-Disposition": f"attachment; filename=mitai-export-{pid}.csv"}
    )