How to Calculate SLO Error Budget in Python

```python
import random


def calculate_error_budget(total_seconds: int, target_availability: float) -> float:
    return (1.0 - target_availability) * total_seconds


def simulate_monthly_availability(seconds_in_month: int, budget_seconds: float) -> float:
    # Mock: randomly consume a fraction of the error budget in real incidents
    random.seed(42)
    consumed = budget_seconds * random.uniform(0.3, 0.9)
    available_seconds = seconds_in_month - consumed
    return available_seconds / seconds_in_month * 100


if __name__ == "__main__":
    month_seconds = 30 * 24 * 60 * 60  # 30-day month
    target = 0.995  # 99.5% availability
    budget = calculate_error_budget(month_seconds, target)
    actual = simulate_monthly_availability(month_seconds, budget)

    print(f"Error budget (seconds): {budget:.0f}")
    print(f"Actual availability: {actual:.3f}%")
    print(f"Budget consumed: {(1 - actual/100) / (1 - target) * 100:.1f}%")