mitai-jinkendo/backend/routers/nutrition.py

"""
Nutrition Tracking Endpoints for Mitai Jinkendo

Handles nutrition data, FDDB CSV import, correlations, and weekly aggregates.
"""
import csv
import io
import uuid
import logging
from typing import Optional
from datetime import datetime

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 routers.profiles import get_pid
from feature_logger import log_feature_usage
from caliper_composition import compute_lean_fat_kg, nearest_weight_kg_from_map

router = APIRouter(prefix="/api/nutrition", tags=["nutrition"])
logger = logging.getLogger(__name__)


# ── Helper ────────────────────────────────────────────────────────────────────
def _pf(s):
    """Parse float from string (handles comma decimal separator)."""
    try: return float(str(s).replace(',','.').strip())
    except: return 0.0


# ── Endpoints ─────────────────────────────────────────────────────────────────
@router.post("/import-csv")
async def import_nutrition_csv(file: UploadFile=File(...), x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Import FDDB nutrition CSV."""
    pid = get_pid(x_profile_id)

    # Phase 4: Check feature access and ENFORCE
    # Note: CSV import can create many entries - we check once before import
    access = check_feature_access(pid, 'nutrition_entries')
    log_feature_usage(pid, 'nutrition_entries', access, 'import_csv')

    if not access['allowed']:
        logger.warning(
            f"[FEATURE-LIMIT] User {pid} blocked: "
            f"nutrition_entries {access['reason']} (used: {access['used']}, limit: {access['limit']})"
        )
        raise HTTPException(
            status_code=403,
            detail=f"Limit erreicht: Du hast das Kontingent für Ernährungseinträge überschritten ({access['used']}/{access['limit']}). "
                   f"Bitte kontaktiere den Admin oder warte bis zum nächsten Reset."
        )

    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
    new_entries=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))
            is_new = not cur.fetchone()
            if not is_new:
                # UPDATE existing
                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:
                # INSERT new
                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))
                new_entries += 1
            inserted+=1

    # Phase 2: Increment usage counter for each new entry created
    for _ in range(new_entries):
        increment_feature_usage(pid, 'nutrition_entries')

    return {"rows_parsed":count,"days_imported":inserted,"new_entries":new_entries,
            "date_range":{"from":min(days) if days else None,"to":max(days) if days else None}}


@router.post("")
def create_nutrition(date: str, kcal: float, protein_g: float, fat_g: float, carbs_g: float,
                     x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Create or update nutrition entry for a specific date."""
    pid = get_pid(x_profile_id)

    # Validate date format
    try:
        datetime.strptime(date, '%Y-%m-%d')
    except ValueError:
        raise HTTPException(400, "Ungültiges Datumsformat. Erwartet: YYYY-MM-DD")

    with get_db() as conn:
        cur = get_cursor(conn)
        # Check if entry exists
        cur.execute("SELECT id FROM nutrition_log WHERE profile_id=%s AND date=%s", (pid, date))
        existing = cur.fetchone()

        if existing:
            # UPDATE existing entry
            cur.execute("""
                UPDATE nutrition_log
                SET kcal=%s, protein_g=%s, fat_g=%s, carbs_g=%s, source='manual'
                WHERE id=%s AND profile_id=%s
            """, (round(kcal,1), round(protein_g,1), round(fat_g,1), round(carbs_g,1), existing['id'], pid))
            return {"success": True, "mode": "updated", "id": existing['id']}
        else:
            # Phase 4: Check feature access before INSERT
            access = check_feature_access(pid, 'nutrition_entries')
            log_feature_usage(pid, 'nutrition_entries', access, 'create')

            if not access['allowed']:
                logger.warning(
                    f"[FEATURE-LIMIT] User {pid} blocked: "
                    f"nutrition_entries {access['reason']} (used: {access['used']}, limit: {access['limit']})"
                )
                raise HTTPException(
                    status_code=403,
                    detail=f"Limit erreicht: Du hast das Kontingent für Ernährungseinträge überschritten ({access['used']}/{access['limit']}). "
                           f"Bitte kontaktiere den Admin oder warte bis zum nächsten Reset."
                )

            # INSERT new entry
            new_id = str(uuid.uuid4())
            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, 'manual', CURRENT_TIMESTAMP)
            """, (new_id, pid, date, round(kcal,1), round(protein_g,1), round(fat_g,1), round(carbs_g,1)))

            # Phase 2: Increment usage counter
            increment_feature_usage(pid, 'nutrition_entries')

            return {"success": True, "mode": "created", "id": new_id}


@router.get("")
def list_nutrition(limit: int=365, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Get nutrition entries for current profile."""
    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()]


@router.get("/by-date/{date}")
def get_nutrition_by_date(date: str, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Get nutrition entry for a specific date."""
    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 AND date=%s", (pid, date))
        row = cur.fetchone()
        return r2d(row) if row else None


@router.get("/correlations")
def nutrition_correlations(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Get nutrition data correlated with weight and body fat."""
    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:float(nutr[d][k]) if nutr[d][k] is not None else None for k in ['kcal','protein_g','fat_g','carbs_g']})
        if d in wlog: row['weight']=float(wlog[d])
        if d in cal_by_date:
            lm = cal_by_date[d].get('lean_mass')
            bf = cal_by_date[d].get('body_fat_pct')
            if bf is not None and lm is None:
                wkg = nearest_weight_kg_from_map(wlog, d)
                if wkg is not None:
                    lm, _fat = compute_lean_fat_kg(wkg, float(bf))
            row['lean_mass'] = float(lm) if lm is not None else None
            row['body_fat_pct'] = float(bf) if bf is not None else None
        result.append(row)
    return result


@router.get("/weekly")
def nutrition_weekly(weeks: int=16, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Get nutrition data aggregated by week."""
    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:
        # Handle both datetime.date objects (from DB) and strings
        date_obj = d['date'] if hasattr(d['date'], 'strftime') else datetime.strptime(d['date'],'%Y-%m-%d')
        wk = date_obj.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(float(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


@router.get("/import-history")
def import_history(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Get import history by grouping entries by created timestamp."""
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute("""
            SELECT
                DATE(created) as import_date,
                COUNT(*) as count,
                MIN(date) as date_from,
                MAX(date) as date_to,
                MAX(created) as last_created
            FROM nutrition_log
            WHERE profile_id=%s AND source='csv'
            GROUP BY DATE(created)
            ORDER BY DATE(created) DESC
        """, (pid,))
        return [r2d(r) for r in cur.fetchall()]


@router.put("/{entry_id}")
def update_nutrition(entry_id: str, kcal: float, protein_g: float, fat_g: float, carbs_g: float,
                     x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Update nutrition entry macros."""
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        # Verify ownership
        cur.execute("SELECT id FROM nutrition_log WHERE id=%s AND profile_id=%s", (entry_id, pid))
        if not cur.fetchone():
            raise HTTPException(404, "Eintrag nicht gefunden")

        cur.execute("""
            UPDATE nutrition_log
            SET kcal=%s, protein_g=%s, fat_g=%s, carbs_g=%s
            WHERE id=%s AND profile_id=%s
        """, (round(kcal,1), round(protein_g,1), round(fat_g,1), round(carbs_g,1), entry_id, pid))

    return {"success": True}


@router.delete("/{entry_id}")
def delete_nutrition(entry_id: str, x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
    """Delete nutrition entry."""
    pid = get_pid(x_profile_id)
    with get_db() as conn:
        cur = get_cursor(conn)
        # Verify ownership
        cur.execute("SELECT id FROM nutrition_log WHERE id=%s AND profile_id=%s", (entry_id, pid))
        if not cur.fetchone():
            raise HTTPException(404, "Eintrag nicht gefunden")

        cur.execute("DELETE FROM nutrition_log WHERE id=%s AND profile_id=%s", (entry_id, pid))

    return {"success": True}