1.6Step 4: Validating the Traffic Model

A generated traffic model must be validated before use. Compare synthetic traffic patterns against production baselines:

# validate_traffic_model.py
def validate_model_accuracy(synthetic_metrics: dict, production_metrics: dict) -> dict:
    """Compare synthetic test metrics against production baselines."""
    validations = {}

    for metric in ["requests_per_second", "endpoint_distribution", "error_rate"]:
        synthetic_val = synthetic_metrics[metric]
        production_val = production_metrics[metric]

        # Allow 15% deviation from production patterns
        if isinstance(production_val, (int, float)):
            deviation = abs(synthetic_val - production_val) / production_val
            validations[metric] = {
                "synthetic": synthetic_val,
                "production": production_val,
                "deviation": f"{deviation:.1%}",
                "within_tolerance": deviation < 0.15,
            }

    return validations