#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Demo Recipes Seeding Script for Recipes Service
Creates realistic Spanish recipes for demo template tenants

This script runs as a Kubernetes init job inside the recipes-service container.
It populates the template tenants with a comprehensive catalog of recipes using pre-defined UUIDs.

Usage:
    python /app/scripts/demo/seed_demo_recipes.py

Environment Variables Required:
    RECIPES_DATABASE_URL - PostgreSQL connection string for recipes database
    DEMO_MODE - Set to 'production' for production seeding
    LOG_LEVEL - Logging level (default: INFO)
"""

import asyncio
import uuid
import sys
import os
import json
from datetime import datetime, timezone, timedelta
from pathlib import Path
import random

# Add app to path
sys.path.insert(0, str(Path(__file__).parent.parent.parent))

from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy import select
import structlog

from app.models.recipes import (
    Recipe, RecipeIngredient, ProductionBatch,
    RecipeStatus, ProductionStatus, ProductionPriority, MeasurementUnit
)

# Configure logging
structlog.configure(
    processors=[
        structlog.stdlib.add_log_level,
        structlog.processors.TimeStamper(fmt="iso"),
        structlog.dev.ConsoleRenderer()
    ]
)

logger = structlog.get_logger()

# Fixed Demo Tenant IDs (must match tenant service)
DEMO_TENANT_SAN_PABLO = uuid.UUID("a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6")
DEMO_TENANT_LA_ESPIGA = uuid.UUID("b2c3d4e5-f6a7-48b9-c0d1-e2f3a4b5c6d7")


def load_recipes_data():
    """Load recipes data from JSON file"""
    # Look for data file in the same directory as this script
    data_file = Path(__file__).parent / "recetas_es.json"

    if not data_file.exists():
        raise FileNotFoundError(
            f"Recipes data file not found: {data_file}. "
            "Make sure recetas_es.json is in the same directory as this script."
        )

    logger.info("Loading recipes data", file=str(data_file))

    with open(data_file, 'r', encoding='utf-8') as f:
        data = json.load(f)

    recipes = data.get("recetas", [])
    logger.info(f"Loaded {len(recipes)} recipes from JSON")
    return recipes


async def seed_recipes_for_tenant(
    db: AsyncSession,
    tenant_id: uuid.UUID,
    tenant_name: str,
    recipes_data: list
) -> dict:
    """
    Seed recipes for a specific tenant using pre-defined UUIDs

    Args:
        db: Database session
        tenant_id: UUID of the tenant
        tenant_name: Name of the tenant (for logging)
        recipes_data: List of recipe dictionaries with pre-defined IDs

    Returns:
        Dict with seeding statistics
    """
    logger.info("─" * 80)
    logger.info(f"Seeding recipes for: {tenant_name}")
    logger.info(f"Tenant ID: {tenant_id}")
    logger.info("─" * 80)

    created_recipes = 0
    skipped_recipes = 0
    created_ingredients = 0
    created_batches = 0

    for recipe_data in recipes_data:
        recipe_name = recipe_data["name"]

        # Generate tenant-specific UUIDs (same approach as inventory)
        base_recipe_id = uuid.UUID(recipe_data["id"])
        base_product_id = uuid.UUID(recipe_data["finished_product_id"])
        tenant_int = int(tenant_id.hex, 16)

        recipe_id = uuid.UUID(int=tenant_int ^ int(base_recipe_id.hex, 16))
        finished_product_id = uuid.UUID(int=tenant_int ^ int(base_product_id.hex, 16))

        # Check if recipe already exists
        result = await db.execute(
            select(Recipe).where(
                Recipe.tenant_id == tenant_id,
                Recipe.id == recipe_id
            )
        )
        existing_recipe = result.scalars().first()

        if existing_recipe:
            logger.debug(f"   ⏭️  Skipping recipe (exists): {recipe_name}")
            skipped_recipes += 1
            continue

        # Create recipe using pre-defined UUID
        recipe = Recipe(
            id=recipe_id,
            tenant_id=tenant_id,
            name=recipe_name,
            recipe_code=f"REC-{created_recipes + 1:03d}",
            version="1.0",
            finished_product_id=finished_product_id,
            description=recipe_data.get("description"),
            category=recipe_data.get("category"),
            cuisine_type=recipe_data.get("cuisine_type"),
            difficulty_level=recipe_data.get("difficulty_level", 1),
            yield_quantity=recipe_data.get("yield_quantity"),
            yield_unit=MeasurementUnit(recipe_data.get("yield_unit", "units")),
            prep_time_minutes=recipe_data.get("prep_time_minutes"),
            cook_time_minutes=recipe_data.get("cook_time_minutes"),
            total_time_minutes=recipe_data.get("total_time_minutes"),
            rest_time_minutes=recipe_data.get("rest_time_minutes"),
            instructions=recipe_data.get("instructions"),
            preparation_notes=recipe_data.get("preparation_notes"),
            storage_instructions=recipe_data.get("storage_instructions"),
            quality_standards=recipe_data.get("quality_standards"),
            status=RecipeStatus.ACTIVE,
            is_seasonal=recipe_data.get("is_seasonal", False),
            is_signature_item=recipe_data.get("is_signature_item", False),
            created_at=datetime.now(timezone.utc),
            updated_at=datetime.now(timezone.utc)
        )

        db.add(recipe)
        created_recipes += 1
        logger.debug(f"   ✅ Created recipe: {recipe_name}")

        # Create recipe ingredients using tenant-specific ingredient IDs
        for ing_data in recipe_data.get("ingredientes", []):
            base_ingredient_id = uuid.UUID(ing_data["ingredient_id"])
            ingredient_id = uuid.UUID(int=tenant_int ^ int(base_ingredient_id.hex, 16))

            # Parse unit
            unit_str = ing_data.get("unit", "g")
            try:
                unit = MeasurementUnit(unit_str)
            except ValueError:
                logger.warning(f"      ⚠️  Invalid unit: {unit_str}, using GRAMS")
                unit = MeasurementUnit.GRAMS

            recipe_ingredient = RecipeIngredient(
                id=uuid.uuid4(),
                tenant_id=tenant_id,
                recipe_id=recipe_id,
                ingredient_id=ingredient_id,
                quantity=ing_data["quantity"],
                unit=unit,
                preparation_method=ing_data.get("preparation_method"),
                ingredient_order=ing_data.get("ingredient_order", 1),
                ingredient_group=ing_data.get("ingredient_group")
            )

            db.add(recipe_ingredient)
            created_ingredients += 1

        # Create some sample production batches (historical data)
        num_batches = random.randint(3, 8)
        for i in range(num_batches):
            # Random date in the past 30 days
            days_ago = random.randint(1, 30)
            production_date = datetime.now(timezone.utc) - timedelta(days=days_ago)

            # Random multiplier and quantity
            multiplier = random.choice([0.5, 1.0, 1.5, 2.0])
            planned_qty = recipe_data.get("yield_quantity", 10) * multiplier
            actual_qty = planned_qty * random.uniform(0.95, 1.05)

            batch = ProductionBatch(
                id=uuid.uuid4(),
                tenant_id=tenant_id,
                recipe_id=recipe_id,
                batch_number=f"BATCH-{tenant_id.hex[:8].upper()}-{i+1:04d}",
                production_date=production_date,
                planned_quantity=planned_qty,
                actual_quantity=actual_qty,
                yield_percentage=(actual_qty / planned_qty * 100) if planned_qty > 0 else 100,
                batch_size_multiplier=multiplier,
                status=ProductionStatus.COMPLETED,
                priority=ProductionPriority.NORMAL,
                quality_score=random.uniform(7.5, 9.5),
                created_at=production_date,
                updated_at=production_date
            )

            db.add(batch)
            created_batches += 1

    # Commit all changes for this tenant
    await db.commit()

    logger.info(f"   📊 Recipes: {created_recipes}, Ingredients: {created_ingredients}, Batches: {created_batches}")
    logger.info("")

    return {
        "tenant_id": str(tenant_id),
        "tenant_name": tenant_name,
        "recipes_created": created_recipes,
        "recipes_skipped": skipped_recipes,
        "recipe_ingredients_created": created_ingredients,
        "production_batches_created": created_batches,
        "total_recipes": len(recipes_data)
    }


async def seed_recipes(db: AsyncSession):
    """
    Seed recipes for all demo template tenants

    Args:
        db: Database session

    Returns:
        Dict with overall seeding statistics
    """
    logger.info("=" * 80)
    logger.info("📚 Starting Demo Recipes Seeding")
    logger.info("=" * 80)

    # Load recipes data once
    try:
        recipes_data = load_recipes_data()
    except FileNotFoundError as e:
        logger.error(str(e))
        raise

    results = []

    # Seed for San Pablo (Traditional Bakery)
    logger.info("")
    result_san_pablo = await seed_recipes_for_tenant(
        db,
        DEMO_TENANT_SAN_PABLO,
        "Panadería San Pablo (Traditional)",
        recipes_data
    )
    results.append(result_san_pablo)

    # Seed for La Espiga (Central Workshop)
    result_la_espiga = await seed_recipes_for_tenant(
        db,
        DEMO_TENANT_LA_ESPIGA,
        "Panadería La Espiga (Central Workshop)",
        recipes_data
    )
    results.append(result_la_espiga)

    # Calculate totals
    total_recipes = sum(r["recipes_created"] for r in results)
    total_ingredients = sum(r["recipe_ingredients_created"] for r in results)
    total_batches = sum(r["production_batches_created"] for r in results)
    total_skipped = sum(r["recipes_skipped"] for r in results)

    logger.info("=" * 80)
    logger.info("✅ Demo Recipes Seeding Completed")
    logger.info("=" * 80)

    return {
        "service": "recipes",
        "tenants_seeded": len(results),
        "total_recipes_created": total_recipes,
        "total_recipe_ingredients_created": total_ingredients,
        "total_production_batches_created": total_batches,
        "total_skipped": total_skipped,
        "results": results
    }


async def main():
    """Main execution function"""

    logger.info("Demo Recipes Seeding Script Starting")
    logger.info("Mode: %s", os.getenv("DEMO_MODE", "development"))
    logger.info("Log Level: %s", os.getenv("LOG_LEVEL", "INFO"))

    # Get database URLs from environment
    database_url = os.getenv("RECIPES_DATABASE_URL") or os.getenv("DATABASE_URL")
    if not database_url:
        logger.error("❌ RECIPES_DATABASE_URL or DATABASE_URL environment variable must be set")
        return 1

    # Convert to async URL if needed
    if database_url.startswith("postgresql://"):
        database_url = database_url.replace("postgresql://", "postgresql+asyncpg://", 1)

    logger.info("Connecting to recipes database")

    # Create engine and session
    engine = create_async_engine(
        database_url,
        echo=False,
        pool_pre_ping=True,
        pool_size=5,
        max_overflow=10
    )

    session_maker = sessionmaker(
        engine,
        class_=AsyncSession,
        expire_on_commit=False
    )

    try:
        async with session_maker() as session:
            result = await seed_recipes(session)

            logger.info("")
            logger.info("📊 Seeding Summary:")
            logger.info(f"   ✅ Tenants seeded: {result['tenants_seeded']}")
            logger.info(f"   ✅ Recipes created: {result['total_recipes_created']}")
            logger.info(f"   ✅ Recipe ingredients: {result['total_recipe_ingredients_created']}")
            logger.info(f"   ✅ Production batches: {result['total_production_batches_created']}")
            logger.info(f"   ⏭️  Skipped: {result['total_skipped']}")
            logger.info("")

            # Print per-tenant details
            for tenant_result in result['results']:
                logger.info(
                    f"   {tenant_result['tenant_name']}: "
                    f"{tenant_result['recipes_created']} recipes, "
                    f"{tenant_result['recipe_ingredients_created']} ingredients, "
                    f"{tenant_result['production_batches_created']} batches"
                )

            logger.info("")
            logger.info("🎉 Success! Recipe catalog is ready for cloning.")
            logger.info("")
            logger.info("Recipes created:")
            logger.info("  • Baguette Francesa Tradicional")
            logger.info("  • Croissant de Mantequilla Artesanal")
            logger.info("  • Pan de Pueblo con Masa Madre")
            logger.info("  • Napolitana de Chocolate")
            logger.info("")
            logger.info("Note: All IDs are pre-defined and hardcoded for cross-service consistency")
            logger.info("")

            return 0

    except Exception as e:
        logger.error("=" * 80)
        logger.error("❌ Demo Recipes Seeding Failed")
        logger.error("=" * 80)
        logger.error("Error: %s", str(e))
        logger.error("", exc_info=True)
        return 1

    finally:
        await engine.dispose()


if __name__ == "__main__":
    exit_code = asyncio.run(main())
    sys.exit(exit_code)