agent_system/vector_store.py

"""
Vector Store Manager for OpenAI Vector Store API integration.
"""
import os
import json
import time
from typing import Dict, List, Optional, Any, Union
from dotenv import load_dotenv

# Note: In a real implementation, you would use the OpenAI client
# This is a mock implementation for demonstration purposes
# from openai import OpenAI

class VectorStoreManager:
    """
    Manages interactions with OpenAI Vector Stores for user authentication and data.
    """
    
    def __init__(self):
        """Initialize the Vector Store Manager."""
        load_dotenv()
        self.api_key = os.getenv("OPENAI_API_KEY")
        
        # In a real implementation, initialize the OpenAI client
        # self.client = OpenAI()
        
        # Store IDs for different vector stores
        self.auth_index_store_id = None
        self.user_profiles_store_id = None
        self.user_content_store_id = None
        
        # Cache for frequently accessed data
        self.email_path_cache = {}
        
        # Base paths for local data
        self.data_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "data")
        self.indexes_dir = os.path.join(self.data_dir, "indexes")
        self.users_dir = os.path.join(self.data_dir, "users")
        self.profiles_dir = os.path.join(self.users_dir, "profiles")
        self.history_dir = os.path.join(self.users_dir, "history")
    
    async def initialize_stores(self):
        """
        Initialize vector stores if they don't exist.
        In a real implementation, this would create OpenAI Vector Stores.
        """
        # For demonstration, we'll use mock store IDs
        self.auth_index_store_id = "vs_auth_index_123"
        self.user_profiles_store_id = "vs_user_profiles_456"
        self.user_content_store_id = "vs_user_content_789"
        
        # Create and upload the email index if it doesn't exist
        email_index_path = os.path.join(self.indexes_dir, "user_email_index.json")
        if not os.path.exists(email_index_path):
            self._create_email_index()
        
        # In a real implementation, you would:
        # 1. Check if stores exist by listing them
        # 2. Create them if they don't exist
        # 3. Set expiration policies
        # 4. Upload initial files
        
        return {
            "auth_index_store_id": self.auth_index_store_id,
            "user_profiles_store_id": self.user_profiles_store_id,
            "user_content_store_id": self.user_content_store_id
        }
    
    def _create_email_index(self):
        """Create the email index file if it doesn't exist."""
        os.makedirs(self.indexes_dir, exist_ok=True)
        email_index_path = os.path.join(self.indexes_dir, "user_email_index.json")
        
        # Create an empty index
        email_index = {}
        with open(email_index_path, 'w') as f:
            json.dump(email_index, f, indent=2)
    
    async def verify_email(self, email: str) -> bool:
        """
        Verify if an email exists in the authentication index.
        
        Args:
            email: The email to verify
            
        Returns:
            True if email is registered, False otherwise
        """
        # In a real implementation, you would use the OpenAI Vector Store API for search
        # For demonstration, we'll read directly from the file
        email_index_path = os.path.join(self.indexes_dir, "user_email_index.json")
        
        if not os.path.exists(email_index_path):
            return False
        
        try:
            with open(email_index_path, 'r') as f:
                email_index = json.load(f)
                
            # Check if email exists in the index
            normalized_email = email.lower()
            return normalized_email in email_index
            
        except (json.JSONDecodeError, FileNotFoundError):
            return False
    
    async def get_user_profile(self, email: str) -> Optional[Dict[str, Any]]:
        """
        Get a user's profile data.
        
        Args:
            email: The user's email
            
        Returns:
            User profile data or None if not found
        """
        # In a real implementation, you would use the OpenAI Vector Store API
        # For demonstration, we'll read directly from the file
        normalized_email = email.lower()
        
        # Get the profile path from the index or use a default path
        email_index_path = os.path.join(self.indexes_dir, "user_email_index.json")
        profile_path = None
        
        try:
            with open(email_index_path, 'r') as f:
                email_index = json.load(f)
                
            if normalized_email in email_index:
                profile_path = email_index[normalized_email]
            else:
                # Default path based on email
                profile_path = os.path.join(self.profiles_dir, f"{normalized_email}.json")
        except (json.JSONDecodeError, FileNotFoundError):
            # Default path based on email
            profile_path = os.path.join(self.profiles_dir, f"{normalized_email}.json")
        
        # Check if profile exists
        if not os.path.exists(profile_path):
            return None
            
        try:
            with open(profile_path, 'r') as f:
                profile_data = json.load(f)
                return profile_data
        except (json.JSONDecodeError, FileNotFoundError):
            return None
    
    async def add_new_user(self, email: str, profile_data: Dict[str, Any]) -> bool:
        """
        Add a new user to the system.
        
        Args:
            email: The user's email
            profile_data: The user's profile data
            
        Returns:
            True if successful, False otherwise
        """
        normalized_email = email.lower()
        
        # Create profile directory if it doesn't exist
        os.makedirs(self.profiles_dir, exist_ok=True)
        
        # Create a profile file for the user
        profile_path = os.path.join(self.profiles_dir, f"{normalized_email}.json")
        
        try:
            with open(profile_path, 'w') as f:
                json.dump(profile_data, f, indent=2)
            
            # Update the email index
            email_index_path = os.path.join(self.indexes_dir, "user_email_index.json")
            email_index = {}
            
            if os.path.exists(email_index_path):
                with open(email_index_path, 'r') as f:
                    try:
                        email_index = json.load(f)
                    except json.JSONDecodeError:
                        email_index = {}
            
            # Add the email to the index with the profile path
            email_index[normalized_email] = profile_path
            
            with open(email_index_path, 'w') as f:
                json.dump(email_index, f, indent=2)
            
            return True
            
        except (IOError, json.JSONDecodeError):
            return False
    
    async def update_user_profile(self, email: str, profile_data: Dict[str, Any]) -> bool:
        """
        Update a user's profile data.
        
        Args:
            email: The user's email
            profile_data: The updated profile data
            
        Returns:
            True if successful, False otherwise
        """
        # Check if user exists
        if not await self.verify_email(email):
            return False
            
        # Update the profile file
        normalized_email = email.lower()
        profile_path = os.path.join(self.profiles_dir, f"{normalized_email}.json")
        
        try:
            with open(profile_path, 'w') as f:
                json.dump(profile_data, f, indent=2)
            return True
        except (IOError, json.JSONDecodeError):
            return False

# In a real implementation, you would initialize this in your application setup
# vector_store_manager = VectorStoreManager()