from __future__ import annotations

import re
from typing import List, Optional
from uuid import UUID

from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
from rapidfuzz import fuzz, process
from sqlalchemy import or_
from sqlalchemy.orm import Session

from app.database import get_db
from app.models import FamilyProfile, Ingredient, NeverSuggest, Recipe
from app.schemas.recipe import (
    RecipeCreate,
    RecipeRead,
    RecipeUpdate,
    ResolveIngredientCandidate,
    ResolveIngredientRequest,
    ResolveIngredientResponse,
)
from app.security import require_admin
from app.services.feedback_analyzer import FeedbackAnalyzer


public_router = APIRouter(prefix="/api/recipes", tags=["recipes"])
admin_router = APIRouter(
    prefix="/api/admin/recipes",
    tags=["recipes-admin"],
    dependencies=[Depends(require_admin)],
)


def _validate_ingredient_ids(db: Session, ingredient_refs) -> None:
    ids = [ref.ingredient_id for ref in ingredient_refs]
    found = (
        db.query(Ingredient.id).filter(Ingredient.id.in_(ids)).all()
    )
    found_ids = {row[0] for row in found}
    missing = [str(i) for i in ids if i not in found_ids]
    if missing:
        raise HTTPException(
            status_code=422,
            detail={"error": "unknown ingredient_ids", "missing": missing},
        )


def _serialize(row: Recipe) -> dict:
    return {
        "id": row.id,
        "name": row.name,
        "description": row.description,
        "image_url": row.image_url,
        "prep_time_minutes": row.prep_time_minutes or 0,
        "cook_time_minutes": row.cook_time_minutes or 0,
        "servings": row.servings,
        "cuisine_tags": list(row.cuisine_tags or []),
        "dietary_tags": list(row.dietary_tags or []),
        "protein_type": row.protein_type,
        "spice_level": row.spice_level,
        "calories_per_serving": row.calories_per_serving,
        "ingredients": row.ingredients or [],
        "side_dishes": row.side_dishes or [],
        "instructions": list(row.instructions or []),
        "source_url": row.source_url,
        "external_source": row.external_source,
        "external_id": row.external_id,
        "discovery_reason": row.discovery_reason,
    }


@public_router.get("/recommended", response_model=List[RecipeRead])
def list_recommended_recipes(
    family_profile_id: UUID = Query(...),
    limit: int = Query(default=10, le=50),
    db: Session = Depends(get_db),
):
    from datetime import date
    analyzer = FeedbackAnalyzer(lookback_weeks=4)
    result = analyzer.analyze(db, family_profile_id, today=date.today())

    # Collect IDs to exclude: never-suggest recipes
    blocked = {
        r[0]
        for r in db.query(NeverSuggest.recipe_id)
        .filter(
            NeverSuggest.family_profile_id == family_profile_id,
            NeverSuggest.recipe_id.isnot(None),
        )
        .all()
    }

    # Start from all recipes
    query = db.query(Recipe).filter(~Recipe.id.in_(blocked)) if blocked else db.query(Recipe)

    # Apply positive signal filters
    pos_cuisines = {s.value for s in result.positive_signals if s.type == "prefer_cuisine"}
    pos_proteins = {s.value for s in result.positive_signals if s.type == "prefer_protein"}
    if pos_cuisines:
        query = query.filter(
            or_(*[
                Recipe.cuisine_tags.overlap([c.lower()])
                for c in pos_cuisines
            ])
        )
    if pos_proteins:
        query = query.filter(
            or_(*[
                Recipe.protein_type.ilike(p)
                for p in pos_proteins
            ])
        )

    # Always include top-rated recipes even if they don't match signals
    rows = query.limit(limit * 2).all()
    ids_seen = set()
    ordered = []
    # Push top-rated first
    top_rated = result.top_rated_recipe_names or []
    if top_rated:
        top_rows = db.query(Recipe).filter(
            Recipe.name.in_(top_rated),
            (~Recipe.id.in_(blocked) if blocked else True),
        ).limit(limit).all()
        for r in top_rows:
            if r.id not in ids_seen:
                ids_seen.add(r.id)
                ordered.append(r)

    # Fill with signal-matched recipes
    for r in rows:
        if r.id not in ids_seen and len(ordered) < limit:
            ids_seen.add(r.id)
            ordered.append(r)

    return [_serialize(r) for r in ordered]


@public_router.get("", response_model=List[RecipeRead])
def list_recipes(
    q: Optional[str] = Query(default=None),
    cuisine: Optional[str] = Query(default=None),
    protein: Optional[str] = Query(default=None),
    dietary: Optional[str] = Query(default=None),
    ingredient: Optional[str] = Query(default=None),
    family_profile_id: Optional[UUID] = Query(default=None),
    max_time: Optional[int] = Query(default=None, ge=0),
    spice_max: Optional[int] = Query(default=None, ge=0, le=5),
    calorie_max: Optional[int] = Query(default=None, ge=0),
    limit: int = Query(default=100, le=500),
    db: Session = Depends(get_db),
):
    query = db.query(Recipe)
    if q:
        like = f"%{q.lower()}%"
        query = query.filter(Recipe.name.ilike(like))
    if cuisine:
        query = query.filter(Recipe.cuisine_tags.overlap([cuisine.lower()]))
    if protein:
        query = query.filter(Recipe.protein_type.ilike(protein))
    if dietary:
        query = query.filter(Recipe.dietary_tags.overlap([dietary.lower()]))
    if ingredient:
        ing_ids = [
            r[0] for r in db.query(Ingredient.id).filter(Ingredient.name.ilike(f"%{ingredient.lower()}%")).all()
        ]
        if ing_ids:
            query = query.filter(
                or_(
                    *[
                        Recipe.ingredients.contains([{"ingredient_id": str(iid)}])
                        for iid in ing_ids
                    ]
                )
            )
    if max_time is not None:
        query = query.filter(
            (Recipe.prep_time_minutes + Recipe.cook_time_minutes) <= max_time
        )
    if spice_max is not None:
        query = query.filter(Recipe.spice_level <= spice_max)
    if calorie_max is not None:
        query = query.filter(Recipe.calories_per_serving <= calorie_max)
    if family_profile_id:
        blocked = {
            r[0]
            for r in db.query(NeverSuggest.recipe_id)
            .filter(
                NeverSuggest.family_profile_id == family_profile_id,
                NeverSuggest.recipe_id.isnot(None),
            )
            .all()
        }
        if blocked:
            query = query.filter(~Recipe.id.in_(blocked))
    rows = query.order_by(Recipe.name).limit(limit).all()
    return [_serialize(r) for r in rows]


@public_router.get("/{recipe_id}", response_model=RecipeRead)
def get_recipe(recipe_id: UUID, db: Session = Depends(get_db)):
    row = db.query(Recipe).filter(Recipe.id == recipe_id).first()
    if row is None:
        raise HTTPException(status_code=404, detail="recipe not found")
    return _serialize(row)


@admin_router.post("", response_model=RecipeRead, status_code=status.HTTP_201_CREATED)
def create_recipe(payload: RecipeCreate, db: Session = Depends(get_db)):
    _validate_ingredient_ids(db, payload.ingredients)
    row = Recipe(
        name=payload.name,
        description=payload.description,
        image_url=payload.image_url,
        prep_time_minutes=payload.prep_time_minutes,
        cook_time_minutes=payload.cook_time_minutes,
        servings=payload.servings,
        cuisine_tags=payload.cuisine_tags,
        dietary_tags=payload.dietary_tags,
        protein_type=payload.protein_type,
        spice_level=payload.spice_level,
        calories_per_serving=payload.calories_per_serving,
        ingredients=[ref.model_dump(mode="json") for ref in payload.ingredients],
        instructions=payload.instructions,
        source_url=payload.source_url,
        is_manually_added=True,
    )
    db.add(row)
    db.commit()
    db.refresh(row)
    return _serialize(row)


@admin_router.patch("/{recipe_id}", response_model=RecipeRead)
def update_recipe(recipe_id: UUID, payload: RecipeUpdate, db: Session = Depends(get_db)):
    row = db.query(Recipe).filter(Recipe.id == recipe_id).first()
    if row is None:
        raise HTTPException(status_code=404, detail="recipe not found")
    data = payload.model_dump(exclude_unset=True)
    if "ingredients" in data and data["ingredients"] is not None:
        _validate_ingredient_ids(db, payload.ingredients)
        row.ingredients = [ref.model_dump(mode="json") for ref in payload.ingredients]
        data.pop("ingredients")
    for field, value in data.items():
        setattr(row, field, value)
    db.commit()
    db.refresh(row)
    return _serialize(row)


@admin_router.delete("/{recipe_id}", status_code=status.HTTP_204_NO_CONTENT, response_class=Response)
def delete_recipe(recipe_id: UUID, db: Session = Depends(get_db)):
    row = db.query(Recipe).filter(Recipe.id == recipe_id).first()
    if row is None:
        raise HTTPException(status_code=404, detail="recipe not found")
    db.delete(row)
    db.commit()
    return Response(status_code=status.HTTP_204_NO_CONTENT)


_KNOWN_UNITS = {
    "tsp", "tbsp", "cup", "cups", "oz", "ounce", "ounces",
    "lb", "lbs", "pound", "pounds", "g", "kg", "ml", "l",
    "clove", "cloves", "pinch", "dash", "ea", "each",
}

_QTY_UNIT_RE = re.compile(
    r"^\s*(?P<qty>\d+(?:\.\d+)?(?:/\d+)?)\s*(?P<unit>[a-zA-Z]+)?\s+(?P<rest>.+)$"
)


def _parse_qty_unit(text: str) -> tuple[Optional[float], Optional[str], str]:
    m = _QTY_UNIT_RE.match(text)
    if not m:
        return None, None, text.strip()
    qty_raw = m.group("qty")
    if "/" in qty_raw:
        num, denom = qty_raw.split("/")
        qty = float(num) / float(denom)
    else:
        qty = float(qty_raw)
    unit = m.group("unit")
    rest = m.group("rest").strip()
    if unit and unit.lower() not in _KNOWN_UNITS:
        rest = f"{unit} {rest}"
        unit = None
    return qty, unit.lower() if unit else None, rest


@admin_router.post("/resolve-ingredient", response_model=ResolveIngredientResponse)
def resolve_ingredient(
    payload: ResolveIngredientRequest,
    db: Session = Depends(get_db),
) -> ResolveIngredientResponse:
    qty, unit, rest = _parse_qty_unit(payload.text)
    rows = db.query(Ingredient).all()
    if not rows:
        return ResolveIngredientResponse(
            parsed_qty=qty,
            parsed_unit=unit,
            parsed_text=rest,
            candidates=[],
        )

    pool: list[tuple[str, UUID, Optional[str]]] = []
    for row in rows:
        pool.append((row.name, row.id, row.aisle))
        for alias in row.aliases or []:
            pool.append((alias, row.id, row.aisle))

    scored = process.extract(
        rest,
        [name for name, _, _ in pool],
        scorer=fuzz.WRatio,
        limit=10,
    )
    seen: set[UUID] = set()
    candidates: list[ResolveIngredientCandidate] = []
    for matched_name, score, idx in scored:
        _, ing_id, aisle = pool[idx]
        if ing_id in seen:
            continue
        seen.add(ing_id)
        candidates.append(
            ResolveIngredientCandidate(
                ingredient_id=ing_id,
                name=matched_name,
                score=score / 100.0,
                aisle=aisle,
            )
        )
        if len(candidates) >= 3:
            break

    return ResolveIngredientResponse(
        parsed_qty=qty,
        parsed_unit=unit,
        parsed_text=rest,
        candidates=candidates,
    )