Delete tests

tests/README.md

@@ -1,18 +0,0 @@
-# Timeline Feature Test Suite
-
-## Overview
-
-Test suite for the Before/After Timeline feature in ARF.
-
-## Test Files
-
-- `test_timeline_calculator.py` - Unit tests for calculation logic
-- `test_timeline_formatter.py` - Unit tests for formatting
-- `test_timeline_integration.py` - Integration tests
-- `conftest.py` - Shared fixtures
-
-## Running Tests
-
-### Run all tests
-```bash
-pytest tests/

tests/__init__.py

@@ -1,3 +0,0 @@
-"""
-Test package for Enterprise Agentic Reliability Framework
-"""

tests/conftest.py

@@ -1,82 +0,0 @@
-"""
-Pytest configuration and shared fixtures for timeline tests
-"""
-
-import pytest
-from unittest.mock import Mock
-from datetime import datetime
-
-# Add your shared fixtures here
-
-
-@pytest.fixture
-def sample_timeline_metrics():
-    """Create sample TimelineMetrics for testing"""
-    # TODO: Return a standard TimelineMetrics instance
-    pass
-
-
-@pytest.fixture
-def timeline_calculator():
-    """Create TimelineCalculator with test defaults"""
-    # TODO: Return calculator instance
-    pass
-
-
-@pytest.fixture
-def timeline_formatter():
-    """Create TimelineFormatter instance"""
-    # TODO: Return formatter instance
-    pass
-
-
-@pytest.fixture
-def mock_business_metrics():
-    """Mock BusinessMetricsTracker"""
-    # TODO: Return mock with predefined behavior
-    pass
-
-
-@pytest.fixture
-def mock_enhanced_engine():
-    """Mock EnhancedReliabilityEngine"""
-    # TODO: Return mock engine
-    pass
-
-
-@pytest.fixture
-def sample_incident_data():
-    """Create sample incident data for testing"""
-    return {
-        "component": "api-service",
-        "latency": 450.0,
-        "error_rate": 0.22,
-        "throughput": 8500,
-        "cpu_util": 0.95,
-        "memory_util": 0.88,
-        "severity": "CRITICAL"
-    }
-
-
-@pytest.fixture
-def sample_timeline_display():
-    """Create sample timeline markdown display"""
-    # TODO: Return formatted markdown string
-    pass
-
-
-# Markers for different test categories
-def pytest_configure(config):
-    """Configure custom pytest markers"""
-    config.addinivalue_line(
-        "markers", "integration: mark test as integration test"
-    )
-    config.addinivalue_line(
-        "markers", "unit: mark test as unit test"
-    )
-    config.addinivalue_line(
-        "markers", "benchmark: mark test as performance benchmark"
-    )
-    config.addinivalue_line(
-        "markers", "slow: mark test as slow running"
-    )

tests/test_input_validation.py

@@ -1,316 +0,0 @@
-"""
-Unit tests for input validation functions
-"""
-
-import pytest
-from app import validate_inputs, validate_component_id
-
-
-class TestComponentIDValidation:
-    """Test component ID validation"""
-    
-    def test_valid_component_ids(self):
-        """Test that valid component IDs pass validation"""
-        valid_ids = [
-            "api-service",
-            "auth-service",
-            "payment-service-v2",
-            "db-01",
-            "cache",
-            "a",  # Single character
-            "api-gateway-prod-001",
-        ]
-        
-        for component_id in valid_ids:
-            is_valid, msg = validate_component_id(component_id)
-            assert is_valid is True, f"'{component_id}' should be valid but got: {msg}"
-            assert msg == ""
-    
-    def test_invalid_uppercase(self):
-        """Test that uppercase letters are rejected"""
-        invalid_ids = ["API-SERVICE", "Auth-Service", "PaymentService"]
-        
-        for component_id in invalid_ids:
-            is_valid, msg = validate_component_id(component_id)
-            assert is_valid is False
-            assert "lowercase" in msg.lower()
-    
-    def test_invalid_underscore(self):
-        """Test that underscores are rejected"""
-        is_valid, msg = validate_component_id("api_service")
-        assert is_valid is False
-        assert "lowercase" in msg.lower() or "hyphen" in msg.lower()
-    
-    def test_invalid_special_characters(self):
-        """Test that special characters are rejected"""
-        invalid_ids = [
-            "api@service",
-            "api.service",
-            "api service",  # Space
-            "api/service",
-            "api&service",
-        ]
-        
-        for component_id in invalid_ids:
-            is_valid, msg = validate_component_id(component_id)
-            assert is_valid is False, f"'{component_id}' should be invalid"
-    
-    def test_empty_string(self):
-        """Test that empty string is rejected"""
-        is_valid, msg = validate_component_id("")
-        assert is_valid is False
-        assert "1-255" in msg or "character" in msg.lower()
-    
-    def test_too_long(self):
-        """Test that component IDs longer than 255 chars are rejected"""
-        long_id = "a" * 256
-        is_valid, msg = validate_component_id(long_id)
-        assert is_valid is False
-        assert "255" in msg
-    
-    def test_non_string_type(self):
-        """Test that non-string types are rejected"""
-        is_valid, msg = validate_component_id(123)
-        assert is_valid is False
-        assert "string" in msg.lower()
-
-
-class TestNumericInputValidation:
-    """Test numeric input validation"""
-    
-    def test_valid_inputs(self):
-        """Test that valid inputs pass validation"""
-        is_valid, msg = validate_inputs(
-            latency=150.0,
-            error_rate=0.05,
-            throughput=1000.0,
-            cpu_util=0.7,
-            memory_util=0.6
-        )
-        
-        assert is_valid is True
-        assert msg == ""
-    
-    def test_valid_inputs_with_none_optionals(self):
-        """Test that None is valid for optional fields"""
-        is_valid, msg = validate_inputs(
-            latency=150.0,
-            error_rate=0.05,
-            throughput=1000.0,
-            cpu_util=None,
-            memory_util=None
-        )
-        
-        assert is_valid is True
-        assert msg == ""
-
-
-class TestLatencyValidation:
-    """Test latency validation"""
-    
-    def test_valid_latency(self):
-        """Test valid latency values"""
-        valid_values = [0, 1, 100, 500, 1000, 9999]
-        
-        for latency in valid_values:
-            is_valid, msg = validate_inputs(latency, 0.05, 1000, None, None)
-            assert is_valid is True, f"Latency {latency} should be valid"
-    
-    def test_negative_latency(self):
-        """Test that negative latency is rejected"""
-        is_valid, msg = validate_inputs(-10, 0.05, 1000, None, None)
-        assert is_valid is False
-        assert "latency" in msg.lower()
-    
-    def test_excessive_latency(self):
-        """Test that excessive latency is rejected"""
-        is_valid, msg = validate_inputs(20000, 0.05, 1000, None, None)
-        assert is_valid is False
-        assert "latency" in msg.lower()
-    
-    def test_non_numeric_latency(self):
-        """Test that non-numeric latency is rejected"""
-        is_valid, msg = validate_inputs("invalid", 0.05, 1000, None, None)
-        assert is_valid is False
-        assert "latency" in msg.lower()
-
-
-class TestErrorRateValidation:
-    """Test error rate validation"""
-    
-    def test_valid_error_rates(self):
-        """Test valid error rate values"""
-        valid_values = [0, 0.01, 0.05, 0.5, 0.99, 1.0]
-        
-        for error_rate in valid_values:
-            is_valid, msg = validate_inputs(100, error_rate, 1000, None, None)
-            assert is_valid is True, f"Error rate {error_rate} should be valid"
-    
-    def test_negative_error_rate(self):
-        """Test that negative error rate is rejected"""
-        is_valid, msg = validate_inputs(100, -0.1, 1000, None, None)
-        assert is_valid is False
-        assert "error rate" in msg.lower()
-    
-    def test_error_rate_exceeds_one(self):
-        """Test that error rate > 1 is rejected"""
-        is_valid, msg = validate_inputs(100, 1.5, 1000, None, None)
-        assert is_valid is False
-        assert "error rate" in msg.lower()
-    
-    def test_non_numeric_error_rate(self):
-        """Test that non-numeric error rate is rejected"""
-        is_valid, msg = validate_inputs(100, "high", 1000, None, None)
-        assert is_valid is False
-        assert "error rate" in msg.lower()
-
-
-class TestThroughputValidation:
-    """Test throughput validation"""
-    
-    def test_valid_throughput(self):
-        """Test valid throughput values"""
-        valid_values = [0, 1, 100, 1000, 10000]
-        
-        for throughput in valid_values:
-            is_valid, msg = validate_inputs(100, 0.05, throughput, None, None)
-            assert is_valid is True, f"Throughput {throughput} should be valid"
-    
-    def test_negative_throughput(self):
-        """Test that negative throughput is rejected"""
-        is_valid, msg = validate_inputs(100, 0.05, -500, None, None)
-        assert is_valid is False
-        assert "throughput" in msg.lower()
-    
-    def test_non_numeric_throughput(self):
-        """Test that non-numeric throughput is rejected"""
-        is_valid, msg = validate_inputs(100, 0.05, "many", None, None)
-        assert is_valid is False
-        assert "throughput" in msg.lower()
-
-
-class TestCPUUtilizationValidation:
-    """Test CPU utilization validation"""
-    
-    def test_valid_cpu_util(self):
-        """Test valid CPU utilization values"""
-        valid_values = [0, 0.1, 0.5, 0.85, 1.0]
-        
-        for cpu_util in valid_values:
-            is_valid, msg = validate_inputs(100, 0.05, 1000, cpu_util, None)
-            assert is_valid is True, f"CPU util {cpu_util} should be valid"
-    
-    def test_negative_cpu_util(self):
-        """Test that negative CPU utilization is rejected"""
-        is_valid, msg = validate_inputs(100, 0.05, 1000, -0.1, None)
-        assert is_valid is False
-        assert "cpu" in msg.lower()
-    
-    def test_cpu_util_exceeds_one(self):
-        """Test that CPU utilization > 1 is rejected"""
-        is_valid, msg = validate_inputs(100, 0.05, 1000, 1.5, None)
-        assert is_valid is False
-        assert "cpu" in msg.lower()
-    
-    def test_non_numeric_cpu_util(self):
-        """Test that non-numeric CPU utilization is rejected"""
-        is_valid, msg = validate_inputs(100, 0.05, 1000, "high", None)
-        assert is_valid is False
-        assert "cpu" in msg.lower()
-
-
-class TestMemoryUtilizationValidation:
-    """Test memory utilization validation"""
-    
-    def test_valid_memory_util(self):
-        """Test valid memory utilization values"""
-        valid_values = [0, 0.1, 0.5, 0.85, 1.0]
-        
-        for memory_util in valid_values:
-            is_valid, msg = validate_inputs(100, 0.05, 1000, None, memory_util)
-            assert is_valid is True, f"Memory util {memory_util} should be valid"
-    
-    def test_negative_memory_util(self):
-        """Test that negative memory utilization is rejected"""
-        is_valid, msg = validate_inputs(100, 0.05, 1000, None, -0.1)
-        assert is_valid is False
-        assert "memory" in msg.lower()
-    
-    def test_memory_util_exceeds_one(self):
-        """Test that memory utilization > 1 is rejected"""
-        is_valid, msg = validate_inputs(100, 0.05, 1000, None, 1.5)
-        assert is_valid is False
-        assert "memory" in msg.lower()
-    
-    def test_non_numeric_memory_util(self):
-        """Test that non-numeric memory utilization is rejected"""
-        is_valid, msg = validate_inputs(100, 0.05, 1000, None, "full")
-        assert is_valid is False
-        assert "memory" in msg.lower()
-
-
-class TestEdgeCases:
-    """Test edge cases and boundary conditions"""
-    
-    def test_zero_values(self):
-        """Test that zero is valid for all metrics"""
-        is_valid, msg = validate_inputs(0, 0, 0, 0, 0)
-        assert is_valid is True
-    
-    def test_maximum_values(self):
-        """Test maximum boundary values"""
-        is_valid, msg = validate_inputs(10000, 1.0, 999999, 1.0, 1.0)
-        assert is_valid is True
-    
-    def test_float_precision(self):
-        """Test that high-precision floats are handled"""
-        is_valid, msg = validate_inputs(
-            latency=123.456789,
-            error_rate=0.123456,
-            throughput=1234.56,
-            cpu_util=0.87654321,
-            memory_util=0.76543210
-        )
-        assert is_valid is True
-    
-    def test_integer_inputs(self):
-        """Test that integer inputs are accepted"""
-        is_valid, msg = validate_inputs(100, 0, 1000, 1, 1)
-        assert is_valid is True
-    
-    def test_string_numbers(self):
-        """Test that string numbers are converted"""
-        is_valid, msg = validate_inputs("100", "0.05", "1000", "0.7", "0.6")
-        assert is_valid is True
-
-
-class TestErrorMessages:
-    """Test that error messages are helpful"""
-    
-    def test_error_message_contains_field_name(self):
-        """Test that error messages identify the problematic field"""
-        # Latency error
-        is_valid, msg = validate_inputs(-10, 0.05, 1000, None, None)
-        assert "latency" in msg.lower()
-        
-        # Error rate error
-        is_valid, msg = validate_inputs(100, 2.0, 1000, None, None)
-        assert "error rate" in msg.lower()
-        
-        # Throughput error
-        is_valid, msg = validate_inputs(100, 0.05, -100, None, None)
-        assert "throughput" in msg.lower()
-    
-    def test_error_message_has_emoji(self):
-        """Test that error messages include emoji for visibility"""
-        is_valid, msg = validate_inputs(-10, 0.05, 1000, None, None)
-        assert "❌" in msg
-    
-    def test_error_message_provides_guidance(self):
-        """Test that error messages provide guidance"""
-        is_valid, msg = validate_inputs(-10, 0.05, 1000, None, None)
-        assert "between" in msg.lower() or "range" in msg.lower() or "0-10000" in msg
-
-
-if __name__ == "__main__":
-    pytest.main([__file__, "-v", "--tb=short"])

tests/test_models.py

@@ -1,614 +0,0 @@
-"""
-Unit tests for Pydantic models with validation and security tests
-"""
-
-import pytest
-from datetime import datetime, timezone
-from pydantic import ValidationError
-from models import (
-    ReliabilityEvent,
-    EventSeverity,
-    HealingPolicy,
-    HealingAction,
-    PolicyCondition,
-    AnomalyResult,
-    ForecastResult
-)
-
-
-class TestReliabilityEventValidation:
-    """Test ReliabilityEvent validation"""
-    
-    def test_valid_event_creation(self):
-        """Test creating a valid event"""
-        event = ReliabilityEvent(
-            component="api-service",
-            latency_p99=150.0,
-            error_rate=0.05,
-            throughput=1000.0,
-            cpu_util=0.7,
-            memory_util=0.6
-        )
-        
-        assert event.component == "api-service"
-        assert event.latency_p99 == 150.0
-        assert event.error_rate == 0.05
-        assert isinstance(event.timestamp, datetime)
-        assert event.severity == EventSeverity.LOW
-    
-    def test_component_validation_valid(self):
-        """Test valid component IDs"""
-        valid_ids = ["api-service", "auth-service", "payment-service-v2", "db-01"]
-        
-        for component_id in valid_ids:
-            event = ReliabilityEvent(
-                component=component_id,
-                latency_p99=100.0,
-                error_rate=0.01,
-                throughput=1000.0
-            )
-            assert event.component == component_id
-    
-    def test_component_validation_invalid(self):
-        """Test invalid component IDs are rejected"""
-        invalid_ids = [
-            "API-SERVICE",  # Uppercase
-            "api_service",  # Underscore
-            "api service",  # Space
-            "api@service",  # Special char
-            "",  # Empty
-        ]
-        
-        for component_id in invalid_ids:
-            with pytest.raises(ValidationError) as exc_info:
-                ReliabilityEvent(
-                    component=component_id,
-                    latency_p99=100.0,
-                    error_rate=0.01,
-                    throughput=1000.0
-                )
-            assert "component" in str(exc_info.value).lower()
-    
-    def test_latency_bounds(self):
-        """Test latency validation bounds"""
-        # Valid latency
-        event = ReliabilityEvent(
-            component="test-service",
-            latency_p99=100.0,
-            error_rate=0.01,
-            throughput=1000.0
-        )
-        assert event.latency_p99 == 100.0
-        
-        # Negative latency should fail
-        with pytest.raises(ValidationError):
-            ReliabilityEvent(
-                component="test-service",
-                latency_p99=-10.0,
-                error_rate=0.01,
-                throughput=1000.0
-            )
-        
-        # Extremely high latency should fail (> 5 minutes)
-        with pytest.raises(ValidationError):
-            ReliabilityEvent(
-                component="test-service",
-                latency_p99=400000.0,  # > 300000ms limit
-                error_rate=0.01,
-                throughput=1000.0
-            )
-    
-    def test_error_rate_bounds(self):
-        """Test error rate validation"""
-        # Valid error rate
-        event = ReliabilityEvent(
-            component="test-service",
-            latency_p99=100.0,
-            error_rate=0.5,
-            throughput=1000.0
-        )
-        assert event.error_rate == 0.5
-        
-        # Negative error rate should fail
-        with pytest.raises(ValidationError):
-            ReliabilityEvent(
-                component="test-service",
-                latency_p99=100.0,
-                error_rate=-0.1,
-                throughput=1000.0
-            )
-        
-        # Error rate > 1 should fail
-        with pytest.raises(ValidationError):
-            ReliabilityEvent(
-                component="test-service",
-                latency_p99=100.0,
-                error_rate=1.5,
-                throughput=1000.0
-            )
-    
-    def test_resource_utilization_bounds(self):
-        """Test CPU and memory utilization bounds"""
-        # Valid utilization
-        event = ReliabilityEvent(
-            component="test-service",
-            latency_p99=100.0,
-            error_rate=0.01,
-            throughput=1000.0,
-            cpu_util=0.85,
-            memory_util=0.75
-        )
-        assert event.cpu_util == 0.85
-        assert event.memory_util == 0.75
-        
-        # CPU > 1 should fail
-        with pytest.raises(ValidationError):
-            ReliabilityEvent(
-                component="test-service",
-                latency_p99=100.0,
-                error_rate=0.01,
-                throughput=1000.0,
-                cpu_util=1.5
-            )
-        
-        # Memory < 0 should fail
-        with pytest.raises(ValidationError):
-            ReliabilityEvent(
-                component="test-service",
-                latency_p99=100.0,
-                error_rate=0.01,
-                throughput=1000.0,
-                memory_util=-0.1
-            )
-
-
-class TestEventFingerprint:
-    """Test event fingerprint generation (SHA-256)"""
-    
-    def test_fingerprint_is_sha256(self):
-        """Test that fingerprint uses SHA-256 (64 hex chars)"""
-        event = ReliabilityEvent(
-            component="test-service",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0
-        )
-        
-        # SHA-256 produces 64 hex characters
-        assert len(event.fingerprint) == 64
-        assert all(c in '0123456789abcdef' for c in event.fingerprint)
-    
-    def test_fingerprint_deterministic(self):
-        """Test that same inputs produce same fingerprint"""
-        event1 = ReliabilityEvent(
-            component="test-service",
-            service_mesh="default",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0
-        )
-        
-        event2 = ReliabilityEvent(
-            component="test-service",
-            service_mesh="default",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0
-        )
-        
-        # Should produce same fingerprint (timestamp not included)
-        assert event1.fingerprint == event2.fingerprint
-    
-    def test_fingerprint_different_for_different_events(self):
-        """Test that different events produce different fingerprints"""
-        event1 = ReliabilityEvent(
-            component="service-1",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0
-        )
-        
-        event2 = ReliabilityEvent(
-            component="service-2",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0
-        )
-        
-        assert event1.fingerprint != event2.fingerprint
-    
-    def test_fingerprint_not_md5(self):
-        """Test that fingerprint is NOT MD5 (security fix verification)"""
-        event = ReliabilityEvent(
-            component="test-service",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0
-        )
-        
-        # MD5 produces 32 hex chars, SHA-256 produces 64
-        assert len(event.fingerprint) != 32
-        assert len(event.fingerprint) == 64
-
-
-class TestEventImmutability:
-    """Test that events are immutable (frozen)"""
-    
-    def test_event_is_frozen(self):
-        """Test that ReliabilityEvent is frozen"""
-        event = ReliabilityEvent(
-            component="test-service",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0
-        )
-        
-        # Attempting to modify should raise ValidationError
-        with pytest.raises(ValidationError):
-            event.latency_p99 = 200.0
-    
-    def test_model_copy_with_update(self):
-        """Test that model_copy creates new instance with updates"""
-        event1 = ReliabilityEvent(
-            component="test-service",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0,
-            severity=EventSeverity.LOW
-        )
-        
-        # Create modified copy
-        event2 = event1.model_copy(update={'severity': EventSeverity.HIGH})
-        
-        # Original unchanged
-        assert event1.severity == EventSeverity.LOW
-        # Copy updated
-        assert event2.severity == EventSeverity.HIGH
-        # Other fields same
-        assert event2.component == event1.component
-        assert event2.latency_p99 == event1.latency_p99
-
-
-class TestDependencyValidation:
-    """Test dependency cycle detection"""
-    
-    def test_valid_dependencies(self):
-        """Test valid dependency configuration"""
-        event = ReliabilityEvent(
-            component="api-service",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0,
-            upstream_deps=["auth-service", "database"],
-            downstream_deps=["frontend", "mobile-app"]
-        )
-        
-        assert "auth-service" in event.upstream_deps
-        assert "frontend" in event.downstream_deps
-    
-    def test_circular_dependency_detected(self):
-        """Test that circular dependencies are detected"""
-        with pytest.raises(ValidationError) as exc_info:
-            ReliabilityEvent(
-                component="api-service",
-                latency_p99=100.0,
-                error_rate=0.05,
-                throughput=1000.0,
-                upstream_deps=["auth-service", "database"],
-                downstream_deps=["database", "frontend"]  # 'database' in both
-            )
-        
-        error_msg = str(exc_info.value).lower()
-        assert "circular" in error_msg or "database" in error_msg
-    
-    def test_dependency_name_validation(self):
-        """Test that dependency names follow same rules as component IDs"""
-        # Valid dependency names
-        event = ReliabilityEvent(
-            component="api-service",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0,
-            upstream_deps=["auth-service", "db-01", "cache-v2"]
-        )
-        assert len(event.upstream_deps) == 3
-        
-        # Invalid dependency names
-        with pytest.raises(ValidationError):
-            ReliabilityEvent(
-                component="api-service",
-                latency_p99=100.0,
-                error_rate=0.05,
-                throughput=1000.0,
-                upstream_deps=["AUTH_SERVICE"]  # Uppercase/underscore
-            )
-
-
-class TestPolicyConditionModel:
-    """Test PolicyCondition structured model"""
-    
-    def test_valid_policy_condition(self):
-        """Test creating valid policy conditions"""
-        condition = PolicyCondition(
-            metric="latency_p99",
-            operator="gt",
-            threshold=150.0
-        )
-        
-        assert condition.metric == "latency_p99"
-        assert condition.operator == "gt"
-        assert condition.threshold == 150.0
-    
-    def test_policy_condition_frozen(self):
-        """Test that PolicyCondition is immutable"""
-        condition = PolicyCondition(
-            metric="error_rate",
-            operator="gt",
-            threshold=0.1
-        )
-        
-        with pytest.raises(ValidationError):
-            condition.threshold = 0.2
-    
-    def test_invalid_metric(self):
-        """Test that invalid metrics are rejected"""
-        with pytest.raises(ValidationError):
-            PolicyCondition(
-                metric="invalid_metric",
-                operator="gt",
-                threshold=100.0
-            )
-    
-    def test_invalid_operator(self):
-        """Test that invalid operators are rejected"""
-        with pytest.raises(ValidationError):
-            PolicyCondition(
-                metric="latency_p99",
-                operator="invalid_op",
-                threshold=100.0
-            )
-    
-    def test_negative_threshold(self):
-        """Test that negative thresholds are rejected"""
-        with pytest.raises(ValidationError):
-            PolicyCondition(
-                metric="latency_p99",
-                operator="gt",
-                threshold=-100.0
-            )
-
-
-class TestHealingPolicyModel:
-    """Test HealingPolicy model"""
-    
-    def test_valid_healing_policy(self):
-        """Test creating valid healing policy"""
-        policy = HealingPolicy(
-            name="high_latency_restart",
-            conditions=[
-                PolicyCondition(metric="latency_p99", operator="gt", threshold=300.0)
-            ],
-            actions=[HealingAction.RESTART_CONTAINER, HealingAction.ALERT_TEAM],
-            priority=1,
-            cool_down_seconds=300
-        )
-        
-        assert policy.name == "high_latency_restart"
-        assert len(policy.conditions) == 1
-        assert len(policy.actions) == 2
-        assert policy.priority == 1
-    
-    def test_policy_frozen(self):
-        """Test that HealingPolicy is immutable"""
-        policy = HealingPolicy(
-            name="test_policy",
-            conditions=[
-                PolicyCondition(metric="error_rate", operator="gt", threshold=0.1)
-            ],
-            actions=[HealingAction.ROLLBACK],
-            priority=2
-        )
-        
-        with pytest.raises(ValidationError):
-            policy.priority = 5
-    
-    def test_empty_conditions_rejected(self):
-        """Test that policies must have at least one condition"""
-        with pytest.raises(ValidationError):
-            HealingPolicy(
-                name="empty_policy",
-                conditions=[],  # Empty
-                actions=[HealingAction.ALERT_TEAM],
-                priority=3
-            )
-    
-    def test_empty_actions_rejected(self):
-        """Test that policies must have at least one action"""
-        with pytest.raises(ValidationError):
-            HealingPolicy(
-                name="empty_actions",
-                conditions=[
-                    PolicyCondition(metric="latency_p99", operator="gt", threshold=100.0)
-                ],
-                actions=[],  # Empty
-                priority=3
-            )
-    
-    def test_priority_bounds(self):
-        """Test priority validation (1-5)"""
-        # Valid priority
-        policy = HealingPolicy(
-            name="test",
-            conditions=[PolicyCondition(metric="latency_p99", operator="gt", threshold=100.0)],
-            actions=[HealingAction.ALERT_TEAM],
-            priority=3
-        )
-        assert policy.priority == 3
-        
-        # Priority < 1 should fail
-        with pytest.raises(ValidationError):
-            HealingPolicy(
-                name="test",
-                conditions=[PolicyCondition(metric="latency_p99", operator="gt", threshold=100.0)],
-                actions=[HealingAction.ALERT_TEAM],
-                priority=0
-            )
-        
-        # Priority > 5 should fail
-        with pytest.raises(ValidationError):
-            HealingPolicy(
-                name="test",
-                conditions=[PolicyCondition(metric="latency_p99", operator="gt", threshold=100.0)],
-                actions=[HealingAction.ALERT_TEAM],
-                priority=10
-            )
-
-
-class TestAnomalyResultModel:
-    """Test AnomalyResult model"""
-    
-    def test_valid_anomaly_result(self):
-        """Test creating valid anomaly result"""
-        result = AnomalyResult(
-            is_anomaly=True,
-            confidence=0.85,
-            anomaly_score=0.75,
-            affected_metrics=["latency", "error_rate"]
-        )
-        
-        assert result.is_anomaly is True
-        assert result.confidence == 0.85
-        assert isinstance(result.detection_timestamp, datetime)
-    
-    def test_confidence_bounds(self):
-        """Test confidence is bounded 0-1"""
-        # Valid
-        result = AnomalyResult(
-            is_anomaly=True,
-            confidence=0.5,
-            anomaly_score=0.6
-        )
-        assert result.confidence == 0.5
-        
-        # Confidence > 1 should fail
-        with pytest.raises(ValidationError):
-            AnomalyResult(
-                is_anomaly=True,
-                confidence=1.5,
-                anomaly_score=0.5
-            )
-
-
-class TestForecastResultModel:
-    """Test ForecastResult model"""
-    
-    def test_valid_forecast(self):
-        """Test creating valid forecast"""
-        result = ForecastResult(
-            metric="latency",
-            predicted_value=250.0,
-            confidence=0.75,
-            trend="increasing",
-            time_to_threshold=15.5,
-            risk_level="high"
-        )
-        
-        assert result.metric == "latency"
-        assert result.trend == "increasing"
-        assert result.risk_level == "high"
-    
-    def test_trend_validation(self):
-        """Test that only valid trends are accepted"""
-        valid_trends = ["increasing", "decreasing", "stable"]
-        
-        for trend in valid_trends:
-            result = ForecastResult(
-                metric="latency",
-                predicted_value=200.0,
-                confidence=0.7,
-                trend=trend,
-                risk_level="medium"
-            )
-            assert result.trend == trend
-        
-        # Invalid trend
-        with pytest.raises(ValidationError):
-            ForecastResult(
-                metric="latency",
-                predicted_value=200.0,
-                confidence=0.7,
-                trend="invalid_trend",
-                risk_level="medium"
-            )
-    
-    def test_risk_level_validation(self):
-        """Test that only valid risk levels are accepted"""
-        valid_levels = ["low", "medium", "high", "critical"]
-        
-        for level in valid_levels:
-            result = ForecastResult(
-                metric="error_rate",
-                predicted_value=0.08,
-                confidence=0.8,
-                trend="stable",
-                risk_level=level
-            )
-            assert result.risk_level == level
-        
-        # Invalid risk level
-        with pytest.raises(ValidationError):
-            ForecastResult(
-                metric="error_rate",
-                predicted_value=0.08,
-                confidence=0.8,
-                trend="stable",
-                risk_level="extreme"
-            )
-
-
-class TestTimestampHandling:
-    """Test datetime timestamp handling"""
-    
-    def test_timestamp_is_datetime(self):
-        """Test that timestamp is datetime, not string"""
-        event = ReliabilityEvent(
-            component="test-service",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0
-        )
-        
-        # Should be datetime object
-        assert isinstance(event.timestamp, datetime)
-        
-        # Should have timezone
-        assert event.timestamp.tzinfo is not None
-    
-    def test_timestamp_is_utc(self):
-        """Test that timestamp uses UTC"""
-        event = ReliabilityEvent(
-            component="test-service",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0
-        )
-        
-        assert event.timestamp.tzinfo == timezone.utc
-    
-    def test_timestamp_serialization(self):
-        """Test that timestamp can be serialized"""
-        event = ReliabilityEvent(
-            component="test-service",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0
-        )
-        
-        # Can convert to ISO format
-        iso_str = event.timestamp.isoformat()
-        assert isinstance(iso_str, str)
-        assert 'T' in iso_str  # ISO format
-
-
-if __name__ == "__main__":
-    pytest.main([__file__, "-v", "--tb=short"])

tests/test_policy_engine.py

@@ -1,291 +0,0 @@
-"""
-Unit tests for PolicyEngine with thread safety and concurrency tests
-"""
-
-import pytest
-import threading
-import time
-from datetime import datetime, timezone
-from models import ReliabilityEvent, EventSeverity, HealingPolicy, HealingAction, PolicyCondition
-from healing_policies import PolicyEngine
-
-
-class TestPolicyEngineBasics:
-    """Basic policy engine functionality tests"""
-    
-    def test_initialization(self, policy_engine):
-        """Test policy engine initializes correctly"""
-        assert policy_engine is not None
-        assert len(policy_engine.policies) > 0
-        assert policy_engine.max_cooldown_history == 100
-    
-    def test_policy_evaluation_no_match(self, policy_engine, normal_event):
-        """Test that normal events don't trigger policies"""
-        actions = policy_engine.evaluate_policies(normal_event)
-        assert actions == [HealingAction.NO_ACTION]
-    
-    def test_policy_evaluation_match(self, policy_engine, critical_event):
-        """Test that critical events trigger policies"""
-        actions = policy_engine.evaluate_policies(critical_event)
-        assert len(actions) > 0
-        assert HealingAction.NO_ACTION not in actions
-    
-    def test_policy_disabled(self, sample_policy, sample_event):
-        """Test that disabled policies don't execute"""
-        disabled_policy = sample_policy.model_copy(update={'enabled': False})
-        engine = PolicyEngine(policies=[disabled_policy])
-        
-        actions = engine.evaluate_policies(sample_event)
-        assert actions == [HealingAction.NO_ACTION]
-
-
-class TestPolicyCooldown:
-    """Test cooldown mechanism"""
-    
-    def test_cooldown_prevents_immediate_re_execution(self, sample_policy, sample_event):
-        """Test that cooldown prevents immediate re-execution"""
-        policy = sample_policy.model_copy(update={'cool_down_seconds': 60})
-        engine = PolicyEngine(policies=[policy])
-        
-        # First execution should work
-        actions1 = engine.evaluate_policies(sample_event)
-        assert HealingAction.RESTART_CONTAINER in actions1
-        
-        # Second execution should be blocked by cooldown
-        actions2 = engine.evaluate_policies(sample_event)
-        assert actions2 == [HealingAction.NO_ACTION]
-    
-    def test_cooldown_expires(self, sample_policy, sample_event):
-        """Test that actions work again after cooldown expires"""
-        policy = sample_policy.model_copy(update={'cool_down_seconds': 1})
-        engine = PolicyEngine(policies=[policy])
-        
-        # First execution
-        actions1 = engine.evaluate_policies(sample_event)
-        assert HealingAction.RESTART_CONTAINER in actions1
-        
-        # Wait for cooldown to expire
-        time.sleep(1.1)
-        
-        # Should work again
-        actions2 = engine.evaluate_policies(sample_event)
-        assert HealingAction.RESTART_CONTAINER in actions2
-
-
-class TestRateLimiting:
-    """Test rate limiting functionality"""
-    
-    def test_rate_limit_enforcement(self, sample_policy, sample_event):
-        """Test that rate limiting prevents excessive executions"""
-        policy = sample_policy.model_copy(update={
-            'cool_down_seconds': 0,  # No cooldown
-            'max_executions_per_hour': 3
-        })
-        engine = PolicyEngine(policies=[policy])
-        
-        # Execute 3 times (should all work)
-        for i in range(3):
-            actions = engine.evaluate_policies(sample_event)
-            assert HealingAction.RESTART_CONTAINER in actions
-            time.sleep(0.1)  # Small delay to avoid race
-        
-        # 4th execution should be rate limited
-        actions = engine.evaluate_policies(sample_event)
-        assert actions == [HealingAction.NO_ACTION]
-
-
-class TestThreadSafety:
-    """Test thread safety of policy engine"""
-    
-    def test_concurrent_evaluations_no_race_condition(self, sample_policy, sample_event):
-        """
-        CRITICAL TEST: Verify no race condition in cooldown check
-        
-        This tests the fix for the race condition where multiple threads
-        could simultaneously pass the cooldown check
-        """
-        policy = sample_policy.model_copy(update={'cool_down_seconds': 5})
-        engine = PolicyEngine(policies=[policy])
-        
-        results = []
-        
-        def evaluate():
-            actions = engine.evaluate_policies(sample_event)
-            results.append(actions)
-        
-        # Launch 10 concurrent threads
-        threads = [threading.Thread(target=evaluate) for _ in range(10)]
-        for t in threads:
-            t.start()
-        for t in threads:
-            t.join()
-        
-        # Count how many actually triggered the policy
-        trigger_count = sum(
-            1 for actions in results
-            if HealingAction.RESTART_CONTAINER in actions
-        )
-        
-        # Only ONE should have triggered (atomic check + update)
-        assert trigger_count == 1, f"Expected 1 trigger, got {trigger_count}"
-    
-    def test_concurrent_different_components(self, sample_policy):
-        """Test that different components don't interfere with each other"""
-        engine = PolicyEngine(policies=[sample_policy])
-        
-        results = {'service-1': [], 'service-2': []}
-        
-        def evaluate_service(service_name):
-            event = ReliabilityEvent(
-                component=service_name,
-                latency_p99=400.0,
-                error_rate=0.1,
-                throughput=1000.0
-            )
-            actions = engine.evaluate_policies(event)
-            results[service_name].append(actions)
-        
-        # Run both services concurrently multiple times
-        threads = []
-        for _ in range(5):
-            threads.append(threading.Thread(target=evaluate_service, args=('service-1',)))
-            threads.append(threading.Thread(target=evaluate_service, args=('service-2',)))
-        
-        for t in threads:
-            t.start()
-        for t in threads:
-            t.join()
-        
-        # Each service should have triggered at least once
-        assert any(HealingAction.RESTART_CONTAINER in actions 
-                   for actions in results['service-1'])
-        assert any(HealingAction.RESTART_CONTAINER in actions 
-                   for actions in results['service-2'])
-
-
-class TestMemoryManagement:
-    """Test memory leak prevention"""
-    
-    def test_cooldown_history_bounded(self, sample_policy):
-        """Test that cooldown history doesn't grow unbounded"""
-        engine = PolicyEngine(
-            policies=[sample_policy],
-            max_cooldown_history=100
-        )
-        
-        # Trigger policy for many different components
-        for i in range(500):
-            event = ReliabilityEvent(
-                component=f"service-{i}",
-                latency_p99=400.0,
-                error_rate=0.1,
-                throughput=1000.0
-            )
-            engine.evaluate_policies(event)
-        
-        # Cooldown history should be capped
-        assert len(engine.last_execution) <= engine.max_cooldown_history
-    
-    def test_execution_history_bounded(self, sample_policy):
-        """Test that execution history is bounded"""
-        engine = PolicyEngine(
-            policies=[sample_policy],
-            max_execution_history=50
-        )
-        
-        # Trigger many times
-        for i in range(200):
-            event = ReliabilityEvent(
-                component="test-service",
-                latency_p99=400.0,
-                error_rate=0.1,
-                throughput=1000.0
-            )
-            engine.evaluate_policies(event)
-            time.sleep(0.01)
-        
-        # Check execution history size
-        for timestamps in engine.execution_timestamps.values():
-            assert len(timestamps) <= engine.max_execution_history
-
-
-class TestPriorityHandling:
-    """Test priority-based policy evaluation"""
-    
-    def test_policies_evaluated_by_priority(self):
-        """Test that higher priority policies are evaluated first"""
-        high_priority = HealingPolicy(
-            name="high_priority",
-            conditions=[PolicyCondition(metric="latency_p99", operator="gt", threshold=100.0)],
-            actions=[HealingAction.ROLLBACK],
-            priority=1
-        )
-        
-        low_priority = HealingPolicy(
-            name="low_priority",
-            conditions=[PolicyCondition(metric="latency_p99", operator="gt", threshold=100.0)],
-            actions=[HealingAction.ALERT_TEAM],
-            priority=5
-        )
-        
-        # Add in reverse priority order
-        engine = PolicyEngine(policies=[low_priority, high_priority])
-        
-        event = ReliabilityEvent(
-            component="test",
-            latency_p99=200.0,
-            error_rate=0.05,
-            throughput=1000.0
-        )
-        
-        actions = engine.evaluate_policies(event)
-        
-        # Both should execute, but high priority action should come first
-        assert HealingAction.ROLLBACK in actions
-        assert HealingAction.ALERT_TEAM in actions
-        assert actions.index(HealingAction.ROLLBACK) < actions.index(HealingAction.ALERT_TEAM)
-
-
-class TestOperatorComparisons:
-    """Test operator comparison logic"""
-    
-    def test_greater_than_operator(self, policy_engine):
-        """Test > operator"""
-        result = policy_engine._compare_values(100.0, "gt", 50.0)
-        assert result is True
-        
-        result = policy_engine._compare_values(50.0, "gt", 100.0)
-        assert result is False
-    
-    def test_less_than_operator(self, policy_engine):
-        """Test < operator"""
-        result = policy_engine._compare_values(50.0, "lt", 100.0)
-        assert result is True
-        
-        result = policy_engine._compare_values(100.0, "lt", 50.0)
-        assert result is False
-    
-    def test_type_mismatch_handling(self, policy_engine):
-        """Test that type mismatches are handled gracefully"""
-        result = policy_engine._compare_values("invalid", "gt", 50.0)
-        assert result is False
-    
-    def test_none_value_handling(self, sample_policy):
-        """Test that None values are handled correctly"""
-        engine = PolicyEngine(policies=[sample_policy])
-        
-        event = ReliabilityEvent(
-            component="test",
-            latency_p99=100.0,
-            error_rate=0.05,
-            throughput=1000.0,
-            cpu_util=None  # None value
-        )
-        
-        # Should not crash
-        actions = engine.evaluate_policies(event)
-        assert actions is not None
-
-
-if __name__ == "__main__":
-    pytest.main([__file__, "-v", "--tb=short"])

tests/test_timeline_calculator.py

@@ -1,169 +0,0 @@
-"""
-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

tests/test_timeline_formatter.py

@@ -1,159 +0,0 @@
-"""
-Test suite for TimelineFormatter
-
-Tests the formatting and display generation for timeline visualizations.
-"""
-
-import pytest
-from typing import Dict, Any
-
-# Import your formatter (adjust path as needed)
-# from app import TimelineFormatter, TimelineMetrics
-
-
-class TestTimelineFormatter:
-    """Test suite for TimelineFormatter class"""
-    
-    @pytest.fixture
-    def sample_metrics(self):
-        """Create sample TimelineMetrics for testing"""
-        # TODO: Create TimelineMetrics instance with known values
-        pass
-    
-    def test_format_markdown_comparison(self, sample_metrics):
-        """Test markdown comparison formatting"""
-        # TODO: Generate markdown and verify structure
-        # - Should contain both timelines
-        # - Should show costs
-        # - Should include time savings
-        pass
-    
-    def test_markdown_contains_industry_timeline(self, sample_metrics):
-        """Test that markdown includes industry standard timeline"""
-        # TODO: Verify "WITHOUT ARF" section exists
-        # - T+0, T+14, T+28, T+60 markers
-        # - Cost display
-        pass
-    
-    def test_markdown_contains_arf_timeline(self, sample_metrics):
-        """Test that markdown includes ARF timeline"""
-        # TODO: Verify "WITH ARF" section exists
-        # - T+0, T+2, T+3, T+5 markers
-        # - Cost display
-        pass
-    
-    def test_markdown_shows_difference_section(self, sample_metrics):
-        """Test that markdown includes difference section"""
-        # TODO: Verify "THE DIFFERENCE" section
-        # - Time saved
-        # - Cost saved
-        # - Speed multiplier
-        pass
-    
-    def test_format_summary_stats(self, sample_metrics):
-        """Test summary statistics formatting"""
-        # TODO: Verify returns dict with correct keys
-        # - time_saved_minutes
-        # - cost_savings
-        # - speed_multiplier
-        # - time_improvement_pct
-        # - arf_total_time
-        # - industry_total_time
-        pass
-    
-    def test_summary_stats_rounding(self, sample_metrics):
-        """Test that summary stats are rounded appropriately"""
-        # TODO: Verify decimal precision
-        # - Cost should be integer
-        # - Time should be 1 decimal
-        # - Percentage should be 1 decimal
-        pass
-    
-    def test_format_visual_bars(self, sample_metrics):
-        """Test visual bar chart formatting"""
-        # TODO: Generate bars and verify
-        # - Industry bar length
-        # - ARF bar length (proportional)
-        # - Percentage display
-        pass
-    
-    def test_visual_bars_proportional(self, sample_metrics):
-        """Test that visual bars maintain correct proportions"""
-        # TODO: Verify bar lengths are proportional to time
-        pass
-    
-    def test_visual_bars_max_length(self):
-        """Test that visual bars don't exceed max length"""
-        # TODO: Even with extreme values, bars should fit
-        pass
-    
-    def test_format_with_zero_values(self):
-        """Test formatting with edge case values"""
-        # TODO: Handle zero time savings gracefully
-        pass
-    
-    def test_format_with_large_numbers(self):
-        """Test formatting with very large cost savings"""
-        # TODO: Verify comma formatting for readability
-        # - \$1,000,000 not \$1000000
-        pass
-    
-    def test_format_special_characters_escaped(self, sample_metrics):
-        """Test that special markdown characters are escaped"""
-        # TODO: Ensure no markdown injection possible
-        pass
-
-
-class TestTimelineFormatterEdgeCases:
-    """Test edge cases in formatting"""
-    
-    def test_format_negative_time_savings(self):
-        """Test formatting when ARF is slower (shouldn't happen)"""
-        # TODO: Handle gracefully, maybe show "N/A"
-        pass
-    
-    def test_format_very_small_time_differences(self):
-        """Test formatting when times are very close"""
-        # TODO: Should still display clearly
-        pass
-    
-    def test_format_extremely_large_costs(self):
-        """Test formatting multi-million dollar savings"""
-        # TODO: Verify readability with large numbers
-        pass
-    
-    def test_unicode_characters_in_bars(self):
-        """Test that unicode bar characters render correctly"""
-        # TODO: Verify █ character displays properly
-        pass
-
-
-class TestTimelineFormatterIntegration:
-    """Test formatter integration with calculator"""
-    
-    def test_calculator_to_formatter_pipeline(self):
-        """Test complete flow from calculation to formatting"""
-        # TODO: Calculate metrics → Format → Verify output
-        pass
-    
-    def test_multiple_format_calls_consistent(self, sample_metrics):
-        """Test that formatter is deterministic"""
-        # TODO: Same input should always produce same output
-        pass
-    
-    def test_all_format_methods_use_same_metrics(self, sample_metrics):
-        """Test that all format methods work with same metrics object"""
-        # TODO: Verify consistency across formats
-        pass
-
-
-# Parametrized tests for different metric scenarios
-@pytest.mark.parametrize("time_saved,expected_emoji", [
-    (55.0, "⏰"),  # Good savings
-    (30.0, "⏰"),  # Medium savings
-    (5.0, "⏰"),   # Small savings
-])
-def test_format_includes_appropriate_emojis(time_saved, expected_emoji):
-    """Test that formatting includes appropriate visual indicators"""
-    # TODO: Implement parametrized test
-    pass

tests/test_timeline_integration.py

@@ -1,178 +0,0 @@
-"""
-Integration tests for Timeline feature
-
-Tests the timeline feature integration with the rest of ARF.
-"""
-
-import pytest
-from unittest.mock import Mock, patch, AsyncMock
-
-# Import your components (adjust paths as needed)
-# from app import (
-#     TimelineCalculator,
-#     TimelineFormatter,
-#     BusinessMetricsTracker,
-#     EnhancedReliabilityEngine
-# )
-
-
-class TestTimelineGradioIntegration:
-    """Test timeline integration with Gradio UI"""
-    
-    @pytest.fixture
-    def mock_gradio_components(self):
-        """Mock Gradio UI components"""
-        # TODO: Create mock components for testing
-        pass
-    
-    def test_timeline_display_updates_on_submit(self):
-        """Test that timeline display updates when event is submitted"""
-        # TODO: Submit event → Verify timeline updates
-        pass
-    
-    def test_timeline_metrics_update_on_submit(self):
-        """Test that timeline metrics boxes update"""
-        # TODO: Verify time_saved, cost_saved, speed displays update
-        pass
-    
-    def test_timeline_accordion_expansion(self):
-        """Test that timeline accordion can expand/collapse"""
-        # TODO: Verify accordion functionality
-        pass
-    
-    def test_timeline_with_demo_scenarios(self):
-        """Test timeline works with pre-configured demo scenarios"""
-        # TODO: Select demo scenario → Submit → Verify timeline
-        pass
-    
-    def test_timeline_persists_across_submissions(self):
-        """Test that timeline updates with each new submission"""
-        # TODO: Multiple submissions should show latest timeline
-        pass
-
-
-class TestTimelineWithROIDashboard:
-    """Test timeline feature interaction with ROI dashboard"""
-    
-    def test_timeline_and_roi_both_update(self):
-        """Test that both timeline and ROI update on submission"""
-        # TODO: Verify both features update correctly
-        pass
-    
-    def test_timeline_cost_matches_roi_savings(self):
-        """Test that timeline cost savings align with ROI metrics"""
-        # TODO: Numbers should be consistent
-        pass
-    
-    def test_reset_metrics_affects_timeline(self):
-        """Test that reset button affects timeline calculations"""
-        # TODO: Reset → Timeline should reset too
-        pass
-
-
-class TestTimelineWithBusinessMetrics:
-    """Test timeline integration with business metrics tracker"""
-    
-    @pytest.fixture
-    def metrics_tracker(self):
-        """Create BusinessMetricsTracker for testing"""
-        # TODO: Initialize tracker
-        pass
-    
-    def test_timeline_uses_business_metrics(self, metrics_tracker):
-        """Test that timeline calculations use business metrics"""
-        # TODO: Verify cost_per_minute from business context
-        pass
-    
-    def test_timeline_records_to_metrics_tracker(self):
-        """Test that timeline calculations are tracked"""
-        # TODO: Verify incidents recorded with timeline data
-        pass
-
-
-class TestTimelineWithMultiAgentSystem:
-    """Test timeline with multi-agent analysis"""
-    
-    def test_timeline_reflects_agent_performance(self):
-        """Test that timeline shows actual agent response times"""
-        # TODO: If agents are slow, timeline should reflect it
-        pass
-    
-    def test_timeline_severity_matches_agents(self):
-        """Test that timeline uses severity from agents"""
-        # TODO: Agent determines CRITICAL → Timeline uses CRITICAL times
-        pass
-    
-    def test_timeline_with_failed_agent_analysis(self):
-        """Test timeline behavior when agents fail"""
-        # TODO: Should still calculate with defaults
-        pass
-
-
-class TestTimelinePerformance:
-    """Test performance characteristics of timeline feature"""
-    
-    def test_timeline_calculation_speed(self):
-        """Test that timeline calculations are fast"""
-        # TODO: Should complete in < 100ms
-        pass
-    
-    def test_timeline_formatting_speed(self):
-        """Test that formatting is fast"""
-        # TODO: Should complete in < 50ms
-        pass
-    
-    def test_timeline_memory_usage(self):
-        """Test that timeline doesn't leak memory"""
-        # TODO: Multiple calculations shouldn't grow memory
-        pass
-    
-    def test_timeline_with_many_incidents(self):
-        """Test timeline performance with high volume"""
-        # TODO: 100+ incidents shouldn't slow down
-        pass
-
-
-class TestTimelineErrorHandling:
-    """Test error handling in timeline feature"""
-    
-    def test_timeline_with_invalid_metrics(self):
-        """Test timeline handles invalid input gracefully"""
-        # TODO: Bad data shouldn't crash app
-        pass
-    
-    def test_timeline_with_missing_data(self):
-        """Test timeline works with incomplete data"""
-        # TODO: Should use defaults for missing values
-        pass
-    
-    def test_timeline_with_extreme_values(self):
-        """Test timeline handles extreme values"""
-        # TODO: Very large/small numbers shouldn't break
-        pass
-    
-    def test_timeline_logging_on_error(self):
-        """Test that errors are logged appropriately"""
-        # TODO: Verify logger is called on errors
-        pass
-
-
-# End-to-end test
-@pytest.mark.asyncio
-async def test_complete_timeline_flow():
-    """Test complete flow from incident to timeline display"""
-    # TODO: 
-    # 1. Create incident event
-    # 2. Submit to engine
-    # 3. Calculate timeline
-    # 4. Format display
-    # 5. Verify all components updated
-    pass
-
-
-# Performance benchmark
-@pytest.mark.benchmark
-def test_timeline_benchmark(benchmark):
-    """Benchmark timeline calculation performance"""
-    # TODO: Use pytest-benchmark to measure performance
-    pass