from sqlalchemy.orm import Session
from datetime import datetime, timedelta
from models import Ingredient, MealLog
from collections import Counter


def build_pantry_context(db: Session) -> dict:
    """Return a dict with pantry state for use as AI context."""
    today = datetime.utcnow().date()
    soon = today + timedelta(days=3)

    # All ingredients
    all_ingredients = db.query(Ingredient).all()
    available = [
        {
            "name": i.name,
            "category": i.category,
        }
        for i in all_ingredients
    ]

    expiring = []

    # Recent meals (last 14 days)
    cutoff = datetime.utcnow() - timedelta(days=14)
    recent_meal_logs = db.query(MealLog).filter(MealLog.eaten_at >= cutoff).order_by(MealLog.eaten_at.desc()).all()
    recent_meals = [
        {
            "date": m.eaten_at.date().isoformat(),
            "meal_type": m.meal_type,
            "meal_name": m.meal_name,
        }
        for m in recent_meal_logs
    ]

    # Meal frequency (count by name)
    meal_frequency = dict(Counter(m["meal_name"] for m in recent_meals))

    return {
        "available_ingredients": available,
        "expiring_soon": expiring,
        "recent_meals": recent_meals,
        "meal_frequency": meal_frequency,
    }