# netflix_chatbot/shared_state.py
"""
Shared state module to store global variables that need to be
accessible across different modules and ensures proper synchronization.
"""

# Store the AI agent here so it's properly shared across modules
global_workflow_agent = None

# Store the global index here
global_index = None

# Store GraphRAG components
global_graph_store = None
global_property_graph_index = None
global_graphrag_query_engine = None

# GraphRAG initialization status
graphrag_ready = False
graphrag_initializing = False
graphrag_error = None

# Helper to set the global agent
def set_global_agent(agent):
    """Set the global agent instance."""
    global global_workflow_agent
    from utils import log_structured
    
    if agent is None:
        log_structured('error', 'Attempted to set global_workflow_agent to None')
        return False
        
    try:
        # Check that the agent has a run method
        if not hasattr(agent, 'run'):
            log_structured('error', 'Agent being set does not have a run method')
            return False
            
        # Set the global agent
        global_workflow_agent = agent
        
        # Verify it was set correctly
        has_run = hasattr(global_workflow_agent, 'run')
        success = global_workflow_agent is not None and has_run
        
        log_structured('info', f'Global agent set successfully: {success}', {
            'has_run_method': has_run,
            'agent_type': type(agent).__name__
        })
        
        return success
    except Exception as e:
        log_structured('error', f'Error setting global agent: {str(e)}')
        return False

# Helper to set the global index
def set_global_index(index):
    """Set the global index instance."""
    global global_index
    global_index = index
    return global_index is not None

# Helper to set the GraphRAG components
def set_graphrag_components(graph_store, property_graph_index, graphrag_query_engine):
    """Set the global GraphRAG components."""
    global global_graph_store, global_property_graph_index, global_graphrag_query_engine
    
    from utils import log_structured
    
    global_graph_store = graph_store
    global_property_graph_index = property_graph_index
    global_graphrag_query_engine = graphrag_query_engine
    
    components_set = (global_graph_store is not None and 
                     global_property_graph_index is not None and 
                     global_graphrag_query_engine is not None)
    
    log_structured('info', f'GraphRAG components set successfully: {components_set}')
    return components_set

# Helper to set/get GraphRAG initialization status
def set_graphrag_status(ready=None, initializing=None, error=None):
    """Update GraphRAG initialization status flags."""
    global graphrag_ready, graphrag_initializing, graphrag_error
    from utils import log_structured

    if ready is not None:
        graphrag_ready = ready
    if initializing is not None:
        graphrag_initializing = initializing
    if error is not None:
        graphrag_error = error

    log_structured('info', 'GraphRAG status updated', {
        'ready': graphrag_ready,
        'initializing': graphrag_initializing,
        'error': str(graphrag_error) if graphrag_error else None
    })

def get_graphrag_status():
    """Get current GraphRAG initialization status."""
    return {
        'ready': graphrag_ready,
        'initializing': graphrag_initializing,
        'error': str(graphrag_error) if graphrag_error else None
    }

# Helper to get agent status
def is_agent_available():
    """
    Check if the global agent is available.
    Uses direct reference to ensure we check the current module state.
    """
    from utils import log_structured
    
    # Access the module-level global_workflow_agent directly
    # We are using the global_workflow_agent from this module, not importing it
    # This avoids circular import issues and ensures we're checking the actual current value
    
    # IMPORTANT: Declare as global to ensure we're checking the correct module-level variable
    global global_workflow_agent
    
    is_available = global_workflow_agent is not None and hasattr(global_workflow_agent, 'run')
    
    # Add detailed logging
    if not is_available:
        if global_workflow_agent is None:
            log_structured('warning', 'Agent availability check failed: global_workflow_agent is None')
        elif not hasattr(global_workflow_agent, 'run'):
            log_structured('warning', 'Agent availability check failed: global_workflow_agent has no run method')
    else:
        log_structured('debug', 'Agent availability check passed: agent exists and has run method')
    
    return is_available