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 data_layer.nutrition_body_merge import build_merged_daily_nutrition_body_rows

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(...),
    overwrite_existing: bool = False,
    x_profile_id: Optional[str] = Header(default=None),
    session: dict = Depends(require_auth),
):
    """Import FDDB nutrition CSV (optional item persist + conflict policy)."""
    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")
    from data_layer.nutrition_items import get_import_policy, replace_csv_items_for_dates

    overwrite = bool(overwrite_existing)
    reader = csv.DictReader(io.StringIO(text), delimiter=';')
    item_rows = []
    days: dict = {}
    count = 0
    for row in reader:
        rd = row.get('datum_tag_monat_jahr_stunde_minute','').strip().strip('"')
        if not rd: continue
        try:
            parts = rd.split(' ')
            p = parts[0].split('.')
            iso = f"{p[2]}-{p[1]}-{p[0]}"
            logged_at = None
            if len(parts) > 1:
                try:
                    logged_at = datetime.strptime(rd.strip(), '%d.%m.%Y %H:%M')
                except ValueError:
                    logged_at = None
        except Exception:
            continue
        kcal = _pf(row.get('kj', 0)) / 4.184
        fat = _pf(row.get('fett_g', 0))
        carbs = _pf(row.get('kh_g', 0))
        prot = _pf(row.get('protein_g', 0))
        days.setdefault(iso, {'kcal': 0, 'fat_g': 0, 'carbs_g': 0, 'protein_g': 0})
        days[iso]['kcal'] += kcal
        days[iso]['fat_g'] += fat
        days[iso]['carbs_g'] += carbs
        days[iso]['protein_g'] += prot
        name = (row.get('bezeichnung') or '').strip().strip('"')
        if name:
            item_rows.append({
                "date": iso,
                "logged_at": logged_at,
                "food_name": name,
                "quantity_raw": (row.get('menge') or '').strip() or None,
                "kcal": kcal,
                "protein_g": prot,
                "fat_g": fat,
                "carbs_g": carbs,
            })
        count += 1
    inserted = 0
    new_entries = 0
    ingest_result = {"conflicts": [], "items_written": 0, "policy": "prompt"}
    with get_db() as conn:
        cur = get_cursor(conn)
        policy = get_import_policy(cur, pid)
        override = "overwrite_catalog" if overwrite else None
        if item_rows:
            ingest_result = replace_csv_items_for_dates(
                cur, pid, item_rows, policy=policy, policy_override=override,
            )
            new_entries = ingest_result.get("new_log_days") or 0
            inserted = ingest_result.get("days_written") or 0
        else:
            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:
                    if policy in ("overwrite_catalog", "overwrite_fddb") or overwrite:
                        cur.execute(
                            "UPDATE nutrition_log SET kcal=%s,protein_g=%s,fat_g=%s,carbs_g=%s,source='csv',macro_origin='fddb' 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,macro_origin,created) VALUES (%s,%s,%s,%s,%s,%s,%s,'csv','fddb',CURRENT_TIMESTAMP)",
                        (str(uuid.uuid4()), pid, iso, kcal, prot, fat, carbs),
                    )
                    new_entries += 1
                inserted += 1

    for _ in range(new_entries):
        increment_feature_usage(pid, 'nutrition_entries')

    return {
        "rows_parsed": count,
        "days_imported": inserted,
        "new_entries": new_entries,
        "items_written": ingest_result.get("items_written", 0),
        "conflicts": ingest_result.get("conflicts") or [],
        "policy": ingest_result.get("policy", "prompt"),
        "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', macro_origin='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, macro_origin, created)
                VALUES (%s, %s, %s, %s, %s, %s, %s, 'manual', '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 n.*, m.mark_type, m.note AS mark_note
            FROM nutrition_log n
            LEFT JOIN nutrition_day_marks m
              ON m.profile_id = n.profile_id AND m.date = n.date
            WHERE n.profile_id=%s
            ORDER BY n.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 (Layer 1 Merge, siehe nutrition_body_merge)."""
    pid = get_pid(x_profile_id)
    return build_merged_daily_nutrition_body_rows(pid)


@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.get("/items")
def list_nutrition_items(
    date: Optional[str] = None,
    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)
        if date:
            cur.execute(
                """
                SELECT i.*, f.name_de AS food_name_de, f.bls_code, f.catalog_kind
                FROM nutrition_items i
                LEFT JOIN food_catalog f ON f.id = i.food_id
                WHERE i.profile_id=%s AND i.date=%s
                ORDER BY i.logged_at NULLS LAST, i.source_name_raw
                """,
                (pid, date),
            )
        else:
            cur.execute(
                """
                SELECT i.*, f.name_de AS food_name_de, f.bls_code, f.catalog_kind
                FROM nutrition_items i
                LEFT JOIN food_catalog f ON f.id = i.food_id
                WHERE i.profile_id=%s
                ORDER BY i.date DESC, i.logged_at NULLS LAST
                LIMIT %s
                """,
                (pid, min(limit, 500)),
            )
        return [r2d(r) for r in cur.fetchall()]


@router.get("/unmapped")
def list_unmapped_foods(
    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 source_name_raw, source_name_normalized,
                   COUNT(*) AS count, MIN(date) AS first_date, MAX(date) AS last_date
            FROM nutrition_items
            WHERE profile_id=%s AND food_id IS NULL
            GROUP BY source_name_raw, source_name_normalized
            ORDER BY count DESC, source_name_normalized
            """,
            (pid,),
        )
        return [r2d(r) for r in cur.fetchall()]


@router.post("/import-conflicts/resolve")
def resolve_import_conflicts(
    body: dict,
    x_profile_id: Optional[str] = Header(default=None),
    session: dict = Depends(require_auth),
):
    from data_layer.nutrition_items import (
        apply_nutrition_day_macros,
        compute_day_macro_sums,
        resolve_choice_macros,
    )

    pid = get_pid(x_profile_id)
    decisions = body.get("decisions") or []
    applied = 0
    with get_db() as conn:
        cur = get_cursor(conn)
        for dec in decisions:
            day = dec.get("date")
            choice = dec.get("choice")
            if not day or not choice:
                continue
            sums = compute_day_macro_sums(cur, pid, day)
            if not sums.get("existing") and choice == "existing":
                continue
            macros, origin = resolve_choice_macros(sums, choice)
            apply_nutrition_day_macros(
                cur, pid, day, macros, macro_origin=origin, source="csv", confirm=True,
            )
            applied += 1
    return {"applied": applied}


@router.put("/days/{day}/mark")
def upsert_day_mark(
    day: str,
    body: dict,
    x_profile_id: Optional[str] = Header(default=None),
    session: dict = Depends(require_auth),
):
    pid = get_pid(x_profile_id)
    mark_type = (body or {}).get("mark_type")
    note = (body or {}).get("note")
    if mark_type not in ("fasting", "incomplete"):
        raise HTTPException(400, "mark_type muss fasting oder incomplete sein")
    with get_db() as conn:
        cur = get_cursor(conn)
        cur.execute(
            """
            INSERT INTO nutrition_day_marks (profile_id, date, mark_type, note, source, updated_at)
            VALUES (%s, %s, %s, %s, 'manual', NOW())
            ON CONFLICT (profile_id, date)
            DO UPDATE SET mark_type = EXCLUDED.mark_type, note = EXCLUDED.note, updated_at = NOW()
            RETURNING *
            """,
            (pid, day, mark_type, note),
        )
        return r2d(cur.fetchone())


@router.delete("/days/{day}/mark")
def delete_day_mark(
    day: 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 nutrition_day_marks WHERE profile_id=%s AND date=%s",
            (pid, day),
        )
    return {"ok": True}


@router.get("/marks")
def list_day_marks(
    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_day_marks WHERE profile_id=%s ORDER BY date 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, source='manual', macro_origin='manual'
            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}