"""
Agents module for Personal Coach CrewAI Application
Contains all agent definitions and orchestration logic
"""

from typing import TYPE_CHECKING

# Version info
__version__ = "1.0.0"
__author__ = "Personal Coach AI Team"

# Lazy imports to avoid circular dependencies
if TYPE_CHECKING:
    from .crew_agents import (
        ConversationHandlerAgent,
        WisdomAdvisorAgent,
        ResponseValidatorAgent,
        InteractionManagerAgent,
        PersonalCoachCrew
    )

# Define what should be imported with "from agents import *"
__all__ = [
    # Main agents
    "ConversationHandlerAgent",
    "WisdomAdvisorAgent", 
    "ResponseValidatorAgent",
    "InteractionManagerAgent",
    
    # Crew orchestrator
    "PersonalCoachCrew",
    
    # Agent utilities
    "create_all_agents",
    "get_agent_by_role",
    
    # Constants
    "AGENT_ROLES",
    "AGENT_GOALS"
]

# Agent role constants
AGENT_ROLES = {
    "CONVERSATION_HANDLER": "Empathetic Conversation Handler",
    "WISDOM_ADVISOR": "Knowledge and Wisdom Advisor",
    "RESPONSE_VALIDATOR": "Response Quality Validator", 
    "INTERACTION_MANAGER": "Interaction Flow Manager"
}

# Agent goals
AGENT_GOALS = {
    "CONVERSATION_HANDLER": "Understand user's emotional state and needs through empathetic dialogue",
    "WISDOM_ADVISOR": "Provide relevant wisdom and practical guidance from knowledge base",
    "RESPONSE_VALIDATOR": "Ensure responses are safe, appropriate, and supportive",
    "INTERACTION_MANAGER": "Manage conversation flow and deliver responses effectively"
}

# Lazy loading functions
def create_all_agents(config):
    """
    Factory function to create all agents with proper configuration
    
    Args:
        config: Configuration object with necessary settings
        
    Returns:
        dict: Dictionary of initialized agents
    """
    from .crew_agents import (
        ConversationHandlerAgent,
        WisdomAdvisorAgent,
        ResponseValidatorAgent,
        InteractionManagerAgent
    )
    
    agents = {
        "conversation_handler": ConversationHandlerAgent(config),
        "wisdom_advisor": WisdomAdvisorAgent(config),
        "response_validator": ResponseValidatorAgent(config),
        "interaction_manager": InteractionManagerAgent(config)
    }
    
    return agents

def get_agent_by_role(role: str, config):
    """
    Get a specific agent by its role
    
    Args:
        role: Agent role constant
        config: Configuration object
        
    Returns:
        Agent instance or None
    """
    from .crew_agents import (
        ConversationHandlerAgent,
        WisdomAdvisorAgent,
        ResponseValidatorAgent,
        InteractionManagerAgent
    )
    
    agent_map = {
        "CONVERSATION_HANDLER": ConversationHandlerAgent,
        "WISDOM_ADVISOR": WisdomAdvisorAgent,
        "RESPONSE_VALIDATOR": ResponseValidatorAgent,
        "INTERACTION_MANAGER": InteractionManagerAgent
    }
    
    agent_class = agent_map.get(role)
    if agent_class:
        return agent_class(config)
    return None

# Module initialization message (only in debug mode)
import os
if os.getenv("DEBUG_MODE", "false").lower() == "true":
    print(f"Agents module v{__version__} initialized")