"""FDDB recipe lists: upsert, link to diary items, catalog macros via ingredients."""
from __future__ import annotations

import uuid
from typing import Any

from data_layer.food_mapping import get_food_mapping_with_cursor, normalize_food_name
from data_layer.nutrition_items import catalog_macros_for_item, _f


def upsert_recipes(cur, profile_id: str, recipes: list[dict[str, Any]]) -> dict[str, int]:
    inserted = updated = ingredients = 0
    for rec in recipes:
        norm = rec.get("name_normalized") or normalize_food_name(rec.get("name_raw"))
        if not norm:
            continue
        cur.execute(
            "SELECT id FROM food_recipes WHERE profile_id = %s AND name_normalized = %s",
            (profile_id, norm),
        )
        row = cur.fetchone()
        if row:
            rid = row["id"]
            cur.execute(
                """
                UPDATE food_recipes
                SET name_raw=%s, portions=%s, description=%s, updated_at=NOW()
                WHERE id=%s
                """,
                (rec["name_raw"], rec.get("portions") or 1, rec.get("description"), rid),
            )
            cur.execute("DELETE FROM food_recipe_ingredients WHERE recipe_id = %s", (rid,))
            updated += 1
        else:
            rid = str(uuid.uuid4())
            cur.execute(
                """
                INSERT INTO food_recipes
                    (id, profile_id, name_raw, name_normalized, portions, description, source)
                VALUES (%s,%s,%s,%s,%s,%s,'fddb_list')
                """,
                (rid, profile_id, rec["name_raw"], norm, rec.get("portions") or 1, rec.get("description")),
            )
            inserted += 1
        for ing in rec.get("ingredients") or []:
            inorm = ing.get("source_name_normalized") or normalize_food_name(ing.get("source_name_raw"))
            if not inorm:
                continue
            cur.execute(
                """
                INSERT INTO food_recipe_ingredients
                    (id, recipe_id, source_name_raw, source_name_normalized,
                     quantity_raw, quantity_g, sort_order)
                VALUES (%s,%s,%s,%s,%s,%s,%s)
                """,
                (
                    str(uuid.uuid4()), rid, ing["source_name_raw"], inorm,
                    ing.get("quantity_raw"), ing.get("quantity_g"), ing.get("sort_order") or 0,
                ),
            )
            ingredients += 1
    linked, dates = link_recipes_to_items(cur, profile_id)
    return {
        "inserted": inserted,
        "updated": updated,
        "ingredients": ingredients,
        "items_linked": linked,
        "dates_linked": dates,
    }


def link_recipes_to_items(cur, profile_id: str) -> tuple[int, list[str]]:
    cur.execute(
        """
        SELECT DISTINCT i.date::text AS date
        FROM nutrition_items i
        JOIN food_recipes r ON r.profile_id = i.profile_id
          AND i.source_name_normalized = r.name_normalized
        WHERE i.profile_id = %s AND i.food_id IS NULL
        """,
        (profile_id,),
    )
    dates = [r["date"] for r in cur.fetchall()]
    cur.execute(
        """
        UPDATE nutrition_items i
        SET recipe_id = r.id, updated_at = NOW()
        FROM food_recipes r
        WHERE i.profile_id = %s AND r.profile_id = %s
          AND i.source_name_normalized = r.name_normalized
          AND i.food_id IS NULL
        """,
        (profile_id, profile_id),
    )
    return cur.rowcount or 0, dates


def list_recipes(cur, profile_id: str) -> list[dict[str, Any]]:
    cur.execute(
        """
        SELECT id, name_raw, name_normalized, portions, description, source
        FROM food_recipes
        WHERE profile_id = %s
        ORDER BY name_normalized
        """,
        (profile_id,),
    )
    recipes = [dict(r) for r in cur.fetchall()]
    if not recipes:
        return []
    ids = [r["id"] for r in recipes]
    cur.execute(
        """
        SELECT recipe_id, source_name_raw, source_name_normalized, quantity_raw, quantity_g, sort_order
        FROM food_recipe_ingredients
        WHERE recipe_id = ANY(%s)
        ORDER BY sort_order, source_name_raw
        """,
        (ids,),
    )
    by_r: dict[str, list] = {str(i): [] for i in ids}
    for row in cur.fetchall():
        by_r.setdefault(str(row["recipe_id"]), []).append(dict(row))
    for rec in recipes:
        rec["ingredients"] = by_r.get(str(rec["id"]), [])
    return recipes


def apply_recipe_to_items(cur, profile_id: str, source_name_normalized: str, recipe_id: str) -> int:
    cur.execute(
        """
        UPDATE nutrition_items
        SET recipe_id = %s, food_id = NULL, mapping_id = NULL, value_origin = 'fddb', updated_at = NOW()
        WHERE profile_id = %s AND source_name_normalized = %s
        """,
        (recipe_id, profile_id, source_name_normalized),
    )
    return cur.rowcount or 0


def mapped_ingredient_quantities(
    cur, profile_id: str, recipe_id: str, eaten_qty_g: float | None
) -> list[dict[str, Any]] | None:
    cur.execute(
        "SELECT portions FROM food_recipes WHERE id = %s AND profile_id = %s",
        (recipe_id, profile_id),
    )
    rec = cur.fetchone()
    if not rec:
        return None
    cur.execute(
        """
        SELECT source_name_raw, quantity_g
        FROM food_recipe_ingredients
        WHERE recipe_id = %s
        ORDER BY sort_order
        """,
        (recipe_id,),
    )
    ings = cur.fetchall()
    if not ings:
        return None
    total_g = sum(_f(i.get("quantity_g")) for i in ings)
    if eaten_qty_g and eaten_qty_g > 0 and total_g > 0:
        scale = float(eaten_qty_g) / total_g
    else:
        portions = float(rec.get("portions") or 1) or 1.0
        scale = 1.0 / portions
    out = []
    for ing in ings:
        mapping = get_food_mapping_with_cursor(cur, ing["source_name_raw"], profile_id)
        if not mapping:
            return None
        out.append({
            "food_id": mapping["food_id"],
            "quantity_g": _f(ing.get("quantity_g")) * scale,
        })
    return out


def catalog_macros_for_recipe(cur, profile_id: str, recipe_id: str, eaten_qty_g: float | None) -> dict[str, float] | None:
    parts = mapped_ingredient_quantities(cur, profile_id, recipe_id, eaten_qty_g)
    if not parts:
        return None
    acc = {"kcal": 0.0, "protein_g": 0.0, "fat_g": 0.0, "carbs_g": 0.0}
    for part in parts:
        cat = catalog_macros_for_item(cur, part["food_id"], part["quantity_g"])
        if not cat:
            return None
        for k in acc:
            acc[k] += cat[k]
    return acc