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Test suite for TimelineCalculator
Tests the core calculation logic for incident response timeline comparisons.
"""
import pytest
from datetime import datetime
from typing import Dict, Any
# Import your timeline calculator (adjust path as needed)
# from app import TimelineCalculator, TimelineMetrics
class TestTimelineCalculator:
"""Test suite for TimelineCalculator class"""
@pytest.fixture
def calculator(self):
"""Create a TimelineCalculator instance for testing"""
# TODO: Initialize with test parameters
pass
def test_calculator_initialization(self):
"""Test that calculator initializes with correct defaults"""
# TODO: Verify default values
# - industry_avg_response_min = 14.0
# - arf_avg_response_min = 2.0
# - cost_per_minute = 50000.0
pass
def test_calculator_custom_initialization(self):
"""Test calculator initialization with custom values"""
# TODO: Create calculator with custom values and verify
pass
def test_calculate_metrics_default(self):
"""Test metrics calculation with default parameters"""
# TODO: Calculate metrics and verify structure
# - Should return TimelineMetrics instance
# - All fields should be populated
pass
def test_calculate_metrics_critical_severity(self, calculator):
"""Test metrics calculation for CRITICAL severity incident"""
# TODO: Calculate for CRITICAL severity
# - Verify industry_total_min is correct
# - Verify arf_total_min is correct
# - Verify cost_savings calculation
pass
def test_calculate_metrics_high_severity(self, calculator):
"""Test metrics calculation for HIGH severity incident"""
# TODO: Calculate for HIGH severity
# - May have different response times
pass
def test_calculate_metrics_low_severity(self, calculator):
"""Test metrics calculation for LOW severity incident"""
# TODO: Calculate for LOW severity
pass
def test_time_savings_calculation(self, calculator):
"""Test that time savings are calculated correctly"""
# TODO: Verify time_saved_min = industry_total - arf_total
pass
def test_cost_savings_calculation(self, calculator):
"""Test that cost savings are calculated correctly"""
# TODO: Verify cost_savings = (industry_total - arf_total) * cost_per_minute
pass
def test_time_improvement_percentage(self, calculator):
"""Test that time improvement percentage is correct"""
# TODO: Verify time_improvement_pct = (time_saved / industry_total) * 100
pass
def test_zero_cost_per_minute(self):
"""Test behavior when cost_per_minute is 0"""
# TODO: Edge case - should not crash
pass
def test_negative_values_handling(self):
"""Test that negative values are handled appropriately"""
# TODO: Should raise error or handle gracefully
pass
def test_calculate_metrics_different_components(self, calculator):
"""Test that different components can have different timelines"""
# TODO: Test api-service vs database vs cache-service
# - May have different complexity
pass
def test_metrics_immutability(self, calculator):
"""Test that calculated metrics are immutable"""
# TODO: Verify TimelineMetrics is a frozen dataclass
pass
class TestTimelineMetrics:
"""Test suite for TimelineMetrics dataclass"""
def test_metrics_creation(self):
"""Test creating TimelineMetrics with all fields"""
# TODO: Create instance and verify all fields
pass
def test_metrics_default_values(self):
"""Test that metrics have sensible default values"""
# TODO: Verify defaults are set correctly
pass
def test_metrics_serialization(self):
"""Test that metrics can be serialized to dict/JSON"""
# TODO: Verify can convert to dict for API responses
pass
def test_metrics_field_types(self):
"""Test that all fields have correct types"""
# TODO: Verify float types for time/cost values
pass
class TestTimelineCalculatorEdgeCases:
"""Test edge cases and error conditions"""
def test_very_fast_arf_response(self):
"""Test when ARF response is < 1 minute"""
# TODO: Verify calculations still work
pass
def test_very_slow_industry_response(self):
"""Test when industry response is > 60 minutes"""
# TODO: Verify calculations scale correctly
pass
def test_equal_response_times(self):
"""Test when industry and ARF times are equal"""
# TODO: Should show 0% improvement
pass
def test_concurrent_calculations(self):
"""Test that calculator is thread-safe"""
# TODO: Run multiple calculations concurrently
pass
# Parametrized tests for different scenarios
@pytest.mark.parametrize("severity,expected_industry_min,expected_arf_min", [
("CRITICAL", 60.0, 5.0),
("HIGH", 45.0, 4.0),
("MEDIUM", 30.0, 3.0),
("LOW", 20.0, 2.0),
])
def test_calculate_metrics_by_severity(severity, expected_industry_min, expected_arf_min):
"""Test that different severities produce different timelines"""
# TODO: Implement parametrized test
pass
@pytest.mark.parametrize("cost_per_minute,expected_savings", [
(50000.0, 2750000.0),
(100000.0, 5500000.0),
(10000.0, 550000.0),
])
def test_cost_calculations_by_rate(cost_per_minute, expected_savings):
"""Test cost calculations with different rates"""
# TODO: Implement parametrized test
pass |