integration_example.py

"""
Integration example showing how to use both fallback solutions
"""

# In calendar_service.py - OAuth integration
from oauth_persistence import save_oauth_token_after_auth, load_oauth_token_on_startup

async def handle_oauth_callback(self, user_email: str, auth_code: str):
    """Handle OAuth callback and store refresh token"""
    # Existing OAuth flow
    credentials = self.flow.fetch_token(authorization_response=auth_code)
    
    # NEW: Store refresh token persistently
    await save_oauth_token_after_auth(user_email, credentials)
    
    return credentials

async def startup_restore_tokens(self):
    """Restore tokens on app startup"""
    user_email = config.my_email_address
    refresh_token = await load_oauth_token_on_startup(user_email)
    
    if refresh_token:
        # Restore credentials from refresh token
        self.credentials = self._create_credentials_from_refresh_token(refresh_token)


# In chat_agent.py - LlamaIndex replacement
from fallback_llm import direct_llm

class ChatCalAgent:
    def __init__(self):
        # OLD: self.llm = get_llm()  # LlamaIndex version
        # NEW: Use direct LLM provider
        self.llm_provider = direct_llm
        self.calendar_service = CalendarService()
    
    async def _handle_general_conversation(self, message: str, session: SessionData) -> str:
        """Handle general conversation with direct LLM"""
        messages = [
            {"role": "system", "content": SYSTEM_PROMPT.format(...)},
            *[{"role": msg["role"], "content": msg["content"]} 
              for msg in session.conversation_history[-10:]]
        ]
        
        # NEW: Direct LLM call (no LlamaIndex)
        response = await self.llm_provider.chat(messages)
        
        session.add_message("assistant", response)
        return response


# In requirements.txt - Simplified dependencies
"""
# Remove these LlamaIndex dependencies:
# llama-index==0.11.0
# llama-index-llms-groq==0.2.0
# llama-index-llms-anthropic==0.3.0
# llama-index-tools-google==0.2.0

# Keep only direct API clients:
groq==0.9.0
anthropic==0.34.0
google-generativeai==0.5.2
google-cloud-secret-manager==2.20.0

# Remove problematic pydantic constraint:
# pydantic==2.8.2  # No longer needed!
"""