#!/usr/bin/env python3
"""
Script to seed the Firestore database with initial data.
"""

import os
import sys
import asyncio
import logging
import argparse
from datetime import datetime, timedelta
import secrets
import hashlib
import json

from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

# Add the parent directory to the path so we can import from src
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))

from src.db.models.team import TeamModel
from src.db.models.user import UserModel
from src.db.models.api_key import ApiKeyModel
from src.db.models.image import ImageModel
from src.db.providers.firestore_provider import firestore_db
from src.db.repositories.firestore_team_repository import firestore_team_repository
from src.db.repositories.firestore_user_repository import firestore_user_repository
from src.db.repositories.firestore_api_key_repository import firestore_api_key_repository
from src.db.repositories.firestore_image_repository import firestore_image_repository

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
)
logger = logging.getLogger(__name__)

# Custom JSON encoder for handling ObjectId and datetime types
class CustomJSONEncoder(json.JSONEncoder):
    def default(self, obj):
        if hasattr(obj, '__str__'):
            return str(obj)
        return super().default(obj)

def generate_api_key(length=32):
    """Generate a random API key"""
    return secrets.token_hex(length)

def hash_api_key(api_key):
    """Hash an API key for storage"""
    return hashlib.sha256(api_key.encode()).hexdigest()

async def clear_database():
    """Clear all collections from the database"""
    logger.info("Clearing database collections...")
    
    collections = ["teams", "users", "api_keys", "images"]
    
    for collection_name in collections:
        try:
            # Get all documents in collection
            docs = firestore_db.get_collection(collection_name).stream()
            for doc in docs:
                doc.reference.delete()
            logger.info(f"Cleared collection: {collection_name}")
        except Exception as e:
            logger.error(f"Error clearing collection {collection_name}: {e}")
            raise
    
    logger.info("Database cleared successfully!")

async def seed_teams():
    """Seed the database with team data"""
    logger.info("Seeding teams...")
    
    teams_data = [
        {
            "name": "Sereact Development",
            "description": "Internal development team"
        },
        {
            "name": "Marketing Team",
            "description": "Marketing and design team"
        },
        {
            "name": "Customer Support",
            "description": "Customer support and success team"
        }
    ]
    
    team_ids = []
    for team_data in teams_data:
        team = TeamModel(**team_data)
        created_team = await firestore_team_repository.create(team)
        team_ids.append(created_team.id)
        logger.info(f"Created team: {created_team.name} (ID: {created_team.id})")
    
    return team_ids

async def seed_users(team_ids):
    """Seed the database with user data"""
    logger.info("Seeding users...")
    
    users_data = [
        {
            "email": "admin@sereact.com",
            "name": "Admin User",
            "team_id": team_ids[0],
            "is_admin": True
        },
        {
            "email": "developer@sereact.com",
            "name": "Developer User",
            "team_id": team_ids[0]
        },
        {
            "email": "marketing@sereact.com",
            "name": "Marketing User",
            "team_id": team_ids[1]
        },
        {
            "email": "support@sereact.com",
            "name": "Support User",
            "team_id": team_ids[2]
        }
    ]
    
    user_ids = []
    for user_data in users_data:
        user = UserModel(**user_data)
        created_user = await firestore_user_repository.create(user)
        user_ids.append(created_user.id)
        logger.info(f"Created user: {created_user.name} (ID: {created_user.id})")
    
    return user_ids

async def seed_api_keys(user_ids, team_ids):
    """Seed the database with API key data"""
    logger.info("Seeding API keys...")
    
    api_keys_data = [
        {
            "user_id": user_ids[0],
            "team_id": team_ids[0],
            "name": "Admin Key",
            "description": "API key for admin user"
        },
        {
            "user_id": user_ids[1],
            "team_id": team_ids[0],
            "name": "Development Key",
            "description": "API key for development user"
        },
        {
            "user_id": user_ids[2],
            "team_id": team_ids[1],
            "name": "Marketing Key",
            "description": "API key for marketing user"
        },
        {
            "user_id": user_ids[3],
            "team_id": team_ids[2],
            "name": "Support Key",
            "description": "API key for support user"
        }
    ]
    
    generated_keys = []
    for api_key_data in api_keys_data:
        # Generate a unique API key
        api_key = generate_api_key()
        key_hash = hash_api_key(api_key)
        
        # Create API key object
        api_key_data["key_hash"] = key_hash
        api_key_data["expiry_date"] = datetime.utcnow() + timedelta(days=365)
        
        api_key_obj = ApiKeyModel(**api_key_data)
        created_api_key = await firestore_api_key_repository.create(api_key_obj)
        
        # Convert ObjectId to string for JSON serialization
        key_data = {
            "id": str(created_api_key.id),
            "key": api_key,
            "name": created_api_key.name,
            "user_id": str(created_api_key.user_id),
            "team_id": str(created_api_key.team_id)
        }
        
        generated_keys.append(key_data)
        logger.info(f"Created API key: {created_api_key.name} (ID: {created_api_key.id})")
    
    # Save API keys to a file
    api_keys_file = "api_keys.json"
    with open(api_keys_file, "w") as f:
        json.dump(generated_keys, f, indent=2, cls=CustomJSONEncoder)
    
    # Save as plain text too for easy access
    with open("api_keys.txt", "w") as f:
        f.write("API KEYS\n")
        f.write("="*80 + "\n\n")
        for key in generated_keys:
            f.write(f"Name:        {key['name']}\n")
            f.write(f"Key:         {key['key']}\n")
            f.write(f"ID:          {key['id']}\n")
            f.write("-"*80 + "\n\n")
    
    # Print the generated keys prominently
    print("\n")
    print("="*80)
    print("                            GENERATED API KEYS")
    print("="*80)
    print("")
    for key in generated_keys:
        print(f"Name:        {key['name']}")
        print(f"Key:         {key['key']}")
        print(f"ID:          {key['id']}")
        print("-"*80)
    print("\n")
    
    logger.info(f"API keys saved to {api_keys_file} and api_keys.txt")
    
    return generated_keys

async def seed_images(team_ids, user_ids):
    """Seed the database with image metadata"""
    logger.info("Seeding images...")
    
    images_data = [
        {
            "filename": "image1.jpg",
            "original_filename": "product_photo.jpg",
            "file_size": 1024 * 1024,  # 1MB
            "content_type": "image/jpeg",
            "storage_path": "teams/{}/images/image1.jpg".format(team_ids[0]),
            "public_url": "https://storage.googleapis.com/example-bucket/teams/{}/images/image1.jpg".format(team_ids[0]),
            "team_id": team_ids[0],
            "uploader_id": user_ids[0],
            "description": "Product photo for marketing",
            "tags": ["product", "marketing", "high-resolution"],
            "metadata": {
                "width": 1920,
                "height": 1080,
                "color_space": "sRGB"
            }
        },
        {
            "filename": "image2.png",
            "original_filename": "logo.png",
            "file_size": 512 * 1024,  # 512KB
            "content_type": "image/png",
            "storage_path": "teams/{}/images/image2.png".format(team_ids[1]),
            "public_url": "https://storage.googleapis.com/example-bucket/teams/{}/images/image2.png".format(team_ids[1]),
            "team_id": team_ids[1],
            "uploader_id": user_ids[2],
            "description": "Company logo",
            "tags": ["logo", "branding"],
            "metadata": {
                "width": 800,
                "height": 600,
                "color_space": "sRGB"
            }
        },
        {
            "filename": "image3.jpg",
            "original_filename": "support_screenshot.jpg",
            "file_size": 256 * 1024,  # 256KB
            "content_type": "image/jpeg",
            "storage_path": "teams/{}/images/image3.jpg".format(team_ids[2]),
            "public_url": "https://storage.googleapis.com/example-bucket/teams/{}/images/image3.jpg".format(team_ids[2]),
            "team_id": team_ids[2],
            "uploader_id": user_ids[3],
            "description": "Screenshot for support ticket",
            "tags": ["support", "screenshot", "bug"],
            "metadata": {
                "width": 1280,
                "height": 720,
                "color_space": "sRGB"
            }
        }
    ]
    
    image_ids = []
    for image_data in images_data:
        image = ImageModel(**image_data)
        created_image = await firestore_image_repository.create(image)
        image_ids.append(created_image.id)
        logger.info(f"Created image: {created_image.filename} (ID: {created_image.id})")
    
    return image_ids

async def seed_database(clear=False):
    """Seed the database with initial data"""
    try:
        # Connect to Firestore
        firestore_db.connect()
        
        # Clear database if requested
        if clear:
            await clear_database()
        
        # Seed teams first
        team_ids = await seed_teams()
        
        # Seed users with team IDs
        user_ids = await seed_users(team_ids)
        
        # Seed API keys with user and team IDs
        api_keys = await seed_api_keys(user_ids, team_ids)
        
        # Seed images with team and user IDs
        image_ids = await seed_images(team_ids, user_ids)
        
        logger.info("Database seeding completed successfully!")
        
    except Exception as e:
        logger.error(f"Error seeding database: {e}")
        raise
    finally:
        # Disconnect from Firestore
        firestore_db.disconnect()

def main():
    """Main entry point"""
    parser = argparse.ArgumentParser(description="Seed the Firestore database with initial data")
    parser.add_argument("--clear", action="store_true", help="Clear all collections before seeding")
    parser.add_argument("--force", action="store_true", help="Force seeding even if data exists")
    args = parser.parse_args()
    
    asyncio.run(seed_database(clear=args.clear))

if __name__ == "__main__":
    main()