"""Assertion Engine Module"""

from typing import Any, Dict, List
# from ..models.rule_models import BusinessAssertionTemplate # Assuming rule_models.py will exist

class AssertionEngine:
    """
    Responsible for verifying test step results based on predefined rules.
    This is a placeholder and will need significant development based on
    how assertion rules are defined and evaluated (e.g., Python expressions, JSONPath, etc.).
    """

    def __init__(self):
        # Initialization, potentially loading common assertion helpers or context
        pass

    def evaluate_assertion(self, assertion_rule: Any, context_data: Dict[str, Any]) -> bool:
        """
        Evaluates a single assertion rule against the given context data.

        Args:
            assertion_rule: The rule definition (e.g., a Pydantic model like BusinessAssertionTemplate).
                            The structure of this will depend on your rule design.
            context_data: Data from the test execution context (e.g., API response, extracted variables).

        Returns:
            True if the assertion passes, False otherwise.
        """
        # Placeholder logic - this needs to be implemented based on rule type
        # Example: if rule is a python expression
        # if assertion_rule.template_language == "python_expression":
        #     try:
        #         # Ensure the expression is safe to eval!
        #         # Consider using ast.literal_eval for simple cases or a safer evaluation library.
        #         # For complex expressions, a dedicated DSL or restricted environment is better.
        #         # The context_data would be made available to the expression.
        #         return bool(eval(assertion_rule.template_expression, {}, context_data))
        #     except Exception as e:
        #         print(f"Error evaluating Python expression assertion: {e}")
        #         return False
        
        # Example: if rule is a simple equality check (defined differently)
        # if "expected_value" in assertion_rule and "actual_value_path" in assertion_rule:
        #    actual_value = get_value_from_path(context_data, assertion_rule.actual_value_path) # Needs helper
        #    return actual_value == assertion_rule.expected_value

        print(f"[AssertionEngine] Placeholder: Evaluating rule '{getattr(assertion_rule, "name", "Unnamed Rule")}'. Context: {context_data}")
        # This is a very basic placeholder. Real implementation depends heavily on rule definition.
        return True # Default to True for now

# Helper function example (would likely be more complex or use a library like jsonpath-ng)
# def get_value_from_path(data: Dict[str, Any], path: str) -> Any:
#     """Retrieves a value from a nested dict using a simple dot-separated path."""
#     keys = path.split('.')
#     value = data
#     for key in keys:
#         if isinstance(value, dict) and key in value:
#             value = value[key]
#         else:
#             return None # Or raise an error
#     return value