61 lines
3.0 KiB
Python
61 lines
3.0 KiB
Python
"""Assertion Engine Module"""
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from typing import Any, Dict, List
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# from ..models.rule_models import BusinessAssertionTemplate # Assuming rule_models.py will exist
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class AssertionEngine:
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"""
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Responsible for verifying test step results based on predefined rules.
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This is a placeholder and will need significant development based on
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how assertion rules are defined and evaluated (e.g., Python expressions, JSONPath, etc.).
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"""
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def __init__(self):
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# Initialization, potentially loading common assertion helpers or context
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pass
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def evaluate_assertion(self, assertion_rule: Any, context_data: Dict[str, Any]) -> bool:
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"""
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Evaluates a single assertion rule against the given context data.
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Args:
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assertion_rule: The rule definition (e.g., a Pydantic model like BusinessAssertionTemplate).
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The structure of this will depend on your rule design.
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context_data: Data from the test execution context (e.g., API response, extracted variables).
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Returns:
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True if the assertion passes, False otherwise.
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"""
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# Placeholder logic - this needs to be implemented based on rule type
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# Example: if rule is a python expression
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# if assertion_rule.template_language == "python_expression":
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# try:
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# # Ensure the expression is safe to eval!
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# # Consider using ast.literal_eval for simple cases or a safer evaluation library.
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# # For complex expressions, a dedicated DSL or restricted environment is better.
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# # The context_data would be made available to the expression.
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# return bool(eval(assertion_rule.template_expression, {}, context_data))
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# except Exception as e:
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# print(f"Error evaluating Python expression assertion: {e}")
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# return False
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# Example: if rule is a simple equality check (defined differently)
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# if "expected_value" in assertion_rule and "actual_value_path" in assertion_rule:
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# actual_value = get_value_from_path(context_data, assertion_rule.actual_value_path) # Needs helper
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# return actual_value == assertion_rule.expected_value
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print(f"[AssertionEngine] Placeholder: Evaluating rule '{getattr(assertion_rule, "name", "Unnamed Rule")}'. Context: {context_data}")
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# This is a very basic placeholder. Real implementation depends heavily on rule definition.
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return True # Default to True for now
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# Helper function example (would likely be more complex or use a library like jsonpath-ng)
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# def get_value_from_path(data: Dict[str, Any], path: str) -> Any:
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# """Retrieves a value from a nested dict using a simple dot-separated path."""
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# keys = path.split('.')
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# value = data
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# for key in keys:
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# if isinstance(value, dict) and key in value:
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# value = value[key]
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# else:
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# return None # Or raise an error
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# return value |