"""
POET Enhancement Logic - Pure Dana language enhancement
"""

from .types import POETConfig


class POETEnhancer:
    """
    Enhancer that generates pure Dana code implementing POET phases.

    This works entirely within Dana's language constructs and runtime,
    with no dependencies on Python-specific features.
    """

    def __init__(self):
        pass

    def generate_dana_wrapper(self, function_name: str, config: POETConfig) -> str:
        """
        Generate pure Dana code that wraps a function with POET phases.

        Args:
            function_name: Name of the Dana function to enhance
            config: POET configuration

        Returns:
            Dana code implementing POET wrapper
        """

        # Generate POET-enhanced Dana wrapper code
        dana_code = f'''# POET-enhanced wrapper for {function_name}
# Domain: {config.domain or "general"}
# Generated by POET enhancer

def poet_wrapper_{function_name}(*args, **kwargs):
    """POET-enhanced wrapper implementing P->O->E->T phases."""
    
    # PERCEIVE PHASE
    log(f"POET({function_name}): Starting Perceive phase")
    perceived_context = {{
        "function_name": "{function_name}",
        "domain": "{config.domain or "general"}",
        "args_count": len(args),
        "phase": "perceive"
    }}
    
    # OPERATE PHASE  
    log(f"POET({function_name}): Starting Operate phase")
    operation_result = null
    retry_count = 0
    max_retries = {config.retries}
    
    while retry_count < max_retries:
        try:
            # Execute original Dana function
            operation_result = {function_name}(*args, **kwargs)
            break  # Success
        except Exception as e:
            retry_count = retry_count + 1
            if retry_count >= max_retries:
                log(f"POET({function_name}): Max retries exceeded")
                raise e
            log(f"POET({function_name}): Retry {{retry_count}}/{{max_retries}}")
    
    # ENFORCE PHASE
    log(f"POET({function_name}): Starting Enforce phase")
    enforced_result = operation_result  # Pass-through for now
    
    # TRAIN PHASE (if enabled)
    if {str(config.train).lower()}:
        log(f"POET({function_name}): Starting Train phase")
        # Domain-specific learning would go here
        pass
    
    log(f"POET({function_name}): All phases completed")
    return enforced_result

# Replace original function with POET-enhanced version
{function_name} = poet_wrapper_{function_name}
'''

        return dana_code

    def enhance_function_definition(self, original_function_code: str, config: POETConfig) -> str:
        """
        Enhance a Dana function definition by wrapping it with POET phases.

        Args:
            original_function_code: The original Dana function code
            config: POET configuration

        Returns:
            Enhanced Dana code with POET phases
        """

        # For now, just prepend the original code with a comment
        # In a real implementation, this would parse the AST and inject POET logic
        enhanced_code = f"""# POET-enhanced function
# Domain: {config.domain or "general"}
# Retries: {config.retries}
# Training: {config.train}

{original_function_code}

# POET phases are handled by the @poet decorator at runtime
"""

        # Training phase configuration
        if config.train:
            train_config = f"""
# Training: {config.train}
"""
            enhanced_code += train_config

        return enhanced_code
