"""
Test gap analysis to identify missing test scenarios.
"""

import logging
from typing import Dict, List, Any, Set
from collections import defaultdict

from ..core.config import AnalysisConfig

logger = logging.getLogger(__name__)


class TestGapAnalyzer:
    """
    Analyzes test coverage gaps based on production bug patterns.

    This class implements the sophisticated gap analysis that was performed
    manually for the MapVis project, now automated and configurable.
    """

    def __init__(self) -> None:
        """Initialize the test gap analyzer."""
        self.test_level_mapping = {
            "race_condition": "integration",
            "visual_regression": "visual",
            "platform_integration": "system",
            "grpc_communication": "integration",
            "memory_management": "performance",
            "navigation_accuracy": "functional",
            "lifecycle_management": "system",
        }

        self.scenario_templates = {
            "integration": [
                "Concurrent {operation1} and {operation2} operations",
                "Component interaction during {scenario}",
                "Multi-threaded {operation} validation",
            ],
            "system": [
                "Application lifecycle during {scenario}",
                "Cross-platform {operation} behavior",
                "Device orientation during {scenario}",
            ],
            "functional": [
                "{Feature} accuracy validation",
                "{Component} behavior verification",
                "Edge case handling for {scenario}",
            ],
            "visual": [
                "Visual regression testing for {component}",
                "UI element positioning during {scenario}",
                "Cross-theme rendering validation",
            ],
            "performance": [
                "Performance degradation under {condition}",
                "Resource usage during {scenario}",
                "Scalability testing for {operation}",
            ],
        }

    async def analyze_test_gaps(
        self,
        bug_analysis: Dict[str, Any],
        repository_data: Dict[str, Any],
        analysis_config: AnalysisConfig,
    ) -> Dict[str, Any]:
        """
        Identify test coverage gaps based on bug analysis.

        Args:
            bug_analysis: Results from bug analysis
            repository_data: Repository test information
            analysis_config: Analysis configuration

        Returns:
            Comprehensive test gap analysis
        """
        logger.info("Starting test gap analysis...")

        # Extract existing test coverage
        existing_tests = self._analyze_existing_tests(repository_data)

        # Identify missing scenarios based on bug patterns
        missing_scenarios = self._identify_missing_scenarios(bug_analysis, existing_tests)

        # Prioritize scenarios based on production impact
        prioritized_scenarios = self._prioritize_scenarios(missing_scenarios, bug_analysis)

        # Generate implementation guidance
        implementation_guidance = self._generate_implementation_guidance(prioritized_scenarios)

        gap_analysis = {
            "existing_test_coverage": existing_tests,
            "missing_scenarios": prioritized_scenarios,
            "implementation_guidance": implementation_guidance,
            "gap_summary": self._create_gap_summary(prioritized_scenarios),
            "recommendations": self._generate_recommendations(prioritized_scenarios, bug_analysis),
        }

        logger.info(f"Identified {len(prioritized_scenarios)} missing test scenarios")

        return gap_analysis

    def _analyze_existing_tests(self, repository_data: Dict[str, Any]) -> Dict[str, Any]:
        """Analyze existing test infrastructure."""
        # Placeholder implementation - would analyze actual test files
        return {
            "unit_tests": {
                "count": 45,
                "coverage_areas": ["core logic", "data processing", "utilities"],
                "frameworks": ["pytest", "unittest"],
            },
            "integration_tests": {
                "count": 12,
                "coverage_areas": ["api integration", "database"],
                "frameworks": ["pytest"],
            },
            "ui_tests": {
                "count": 8,
                "coverage_areas": ["basic ui flows"],
                "frameworks": ["selenium"],
            },
            "performance_tests": {
                "count": 3,
                "coverage_areas": ["load testing"],
                "frameworks": ["locust"],
            },
            "gaps_identified": [
                "No visual regression testing",
                "Limited concurrent operation testing",
                "Missing platform-specific testing",
                "No chaos engineering tests",
            ],
        }

    def _identify_missing_scenarios(
        self, bug_analysis: Dict[str, Any], existing_tests: Dict[str, Any]
    ) -> List[Dict[str, Any]]:
        """Identify specific missing test scenarios."""
        missing_scenarios = []

        # Analyze bug categories to identify test gaps
        bug_categories = bug_analysis.get("bug_categories", {})

        for category, bugs in bug_categories.items():
            if len(bugs) >= 2:  # Only consider categories with multiple bugs
                test_level = self.test_level_mapping.get(category, "functional")

                # Generate scenarios based on bug patterns
                scenarios = self._generate_scenarios_for_category(category, bugs, test_level)
                missing_scenarios.extend(scenarios)

        return missing_scenarios

    def _generate_scenarios_for_category(
        self, category: str, bugs: List[Dict], test_level: str
    ) -> List[Dict[str, Any]]:
        """Generate specific test scenarios for a bug category."""
        scenarios = []

        if category == "race_condition":
            scenarios.extend(
                [
                    {
                        "name": "Concurrent Zoom and Navigation Operations",
                        "description": "Test simultaneous zoom operations during active navigation",
                        "test_level": "integration",
                        "priority": "critical",
                        "related_bugs": [bug["id"] for bug in bugs],
                        "automation_guidance": self._generate_code_example(
                            "integration", "concurrent_zoom_nav"
                        ),
                        "expected_impact": "Prevents navigation chevron positioning failures",
                    },
                    {
                        "name": "Multi-threaded Component State Management",
                        "description": "Validate component state consistency during concurrent operations",
                        "test_level": "integration",
                        "priority": "high",
                        "related_bugs": [bug["id"] for bug in bugs],
                        "automation_guidance": self._generate_code_example(
                            "integration", "state_management"
                        ),
                        "expected_impact": "Prevents component state corruption",
                    },
                ]
            )

        elif category == "visual_regression":
            scenarios.extend(
                [
                    {
                        "name": "Icon Rendering Across Themes",
                        "description": "Validate icon positioning and appearance across light/dark themes",
                        "test_level": "visual",
                        "priority": "high",
                        "related_bugs": [bug["id"] for bug in bugs],
                        "automation_guidance": self._generate_code_example("visual", "icon_themes"),
                        "expected_impact": "Prevents icon positioning and rotation errors",
                    },
                    {
                        "name": "Navigation Element Visual Validation",
                        "description": "Screenshot comparison testing for navigation UI elements",
                        "test_level": "visual",
                        "priority": "high",
                        "related_bugs": [bug["id"] for bug in bugs],
                        "automation_guidance": self._generate_code_example(
                            "visual", "nav_elements"
                        ),
                        "expected_impact": "Catches visual regressions before production",
                    },
                ]
            )

        elif category == "platform_integration":
            scenarios.extend(
                [
                    {
                        "name": "Device Orientation During Operations",
                        "description": "Test app behavior during device rotation while performing operations",
                        "test_level": "system",
                        "priority": "high",
                        "related_bugs": [bug["id"] for bug in bugs],
                        "automation_guidance": self._generate_code_example("system", "orientation"),
                        "expected_impact": "Prevents orientation-related crashes",
                    }
                ]
            )

        return scenarios

    def _generate_code_example(self, test_level: str, scenario_type: str) -> str:
        """Generate code example for test implementation."""

        examples = {
            (
                "integration",
                "concurrent_zoom_nav",
            ): """
[TestFixture]
public class ConcurrentOperationTests
{
    [Test]
    public async Task Navigation_ConcurrentZoomAndNavigation_ChevronPositionStable()
    {
        var map = CreateMapWithNavigation();
        map.StartNavigation(testRoute);
        
        // Simulate concurrent zoom and navigation updates
        var zoomTask = Task.Run(() => RapidZoomOperations(map));
        var navTask = Task.Run(() => NavigationUpdates(map));
        
        await Task.WhenAll(zoomTask, navTask);
        
        // Verify chevron position remains stable
        Assert.IsTrue(map.GetChevronPosition().IsWithinScreenBounds());
        Assert.IsFalse(map.HasPositioningErrors());
    }
}""",
            (
                "visual",
                "icon_themes",
            ): """
[TestFixture]
public class VisualRegressionTests
{
    [Test]
    public void IconRendering_ThemeSwitching_VisuallyConsistent()
    {
        var testCases = new[] { Theme.Light, Theme.Dark };
        
        foreach (var theme in testCases)
        {
            map.SetTheme(theme);
            var screenshot = map.CaptureScreenshot();
            var baseline = GetBaselineScreenshot($"icons_{theme}");
            
            Assert.IsTrue(VisualComparison.IsMatch(screenshot, baseline, 0.95));
        }
    }
}""",
            (
                "system",
                "orientation",
            ): """
[TestFixture]
public class SystemLevelTests
{
    [Test]
    public void App_OrientationChange_MaintainsState()
    {
        map.StartOperation();
        
        // Rotate device during operation
        DeviceSimulator.RotateToLandscape();
        Thread.Sleep(1000);
        DeviceSimulator.RotateToPortrait();
        
        // Verify app state is maintained
        Assert.IsTrue(map.IsOperationActive());
        Assert.IsFalse(map.HasCrashed());
    }
}""",
        }

        return examples.get(
            (test_level, scenario_type), "// Implementation example would be provided"
        )

    def _prioritize_scenarios(
        self, scenarios: List[Dict[str, Any]], bug_analysis: Dict[str, Any]
    ) -> List[Dict[str, Any]]:
        """Prioritize scenarios based on production impact."""

        # Sort by priority and related bug count
        def priority_score(scenario: Dict[str, Any]) -> int:
            priority_weights = {"critical": 10, "high": 7, "medium": 4, "low": 1}
            base_score = priority_weights.get(scenario.get("priority", "medium"), 4)
            bug_count_bonus = len(scenario.get("related_bugs", [])) * 2
            return base_score + bug_count_bonus

        return sorted(scenarios, key=priority_score, reverse=True)

    def _generate_implementation_guidance(self, scenarios: List[Dict[str, Any]]) -> Dict[str, Any]:
        """Generate implementation guidance for test scenarios."""

        guidance = {
            "setup_requirements": [
                "Test framework setup for concurrent operations",
                "Visual comparison infrastructure",
                "Device simulation capabilities",
                "CI/CD integration for automated execution",
            ],
            "implementation_phases": [
                {
                    "phase": 1,
                    "name": "Critical Integration Tests",
                    "scenarios": [s["name"] for s in scenarios if s.get("priority") == "critical"],
                    "estimated_effort": "2-3 weeks",
                },
                {
                    "phase": 2,
                    "name": "Visual Regression Framework",
                    "scenarios": [s["name"] for s in scenarios if s.get("test_level") == "visual"],
                    "estimated_effort": "3-4 weeks",
                },
                {
                    "phase": 3,
                    "name": "System-Level Testing",
                    "scenarios": [s["name"] for s in scenarios if s.get("test_level") == "system"],
                    "estimated_effort": "2-3 weeks",
                },
            ],
            "success_metrics": [
                "Reduction in production bugs by 70%",
                "Faster detection of regressions (within CI pipeline)",
                "Improved confidence in releases",
            ],
        }

        return guidance

    def _create_gap_summary(self, scenarios: List[Dict[str, Any]]) -> Dict[str, Any]:
        """Create summary of identified gaps."""

        summary = defaultdict(list)

        for scenario in scenarios:
            test_level = scenario.get("test_level", "unknown")
            summary[test_level].append(scenario["name"])

        return {
            "total_missing_scenarios": len(scenarios),
            "by_test_level": dict(summary),
            "critical_count": len([s for s in scenarios if s.get("priority") == "critical"]),
            "high_count": len([s for s in scenarios if s.get("priority") == "high"]),
        }

    def _generate_recommendations(
        self, scenarios: List[Dict[str, Any]], bug_analysis: Dict[str, Any]
    ) -> List[Dict[str, Any]]:
        """Generate strategic recommendations."""

        return [
            {
                "title": "Implement Concurrent Operation Testing",
                "description": "Priority focus on integration tests for concurrent operations",
                "rationale": f"Will prevent {len([s for s in scenarios if 'concurrent' in s['name'].lower()])} types of race condition bugs",
                "implementation": "Start with zoom + navigation concurrent testing framework",
            },
            {
                "title": "Establish Visual Regression Pipeline",
                "description": "Automated visual validation for UI components",
                "rationale": "Addresses visual regression gaps that caused multiple production issues",
                "implementation": "Screenshot comparison framework with baseline management",
            },
            {
                "title": "Enhance System-Level Testing",
                "description": "Device lifecycle and platform-specific testing",
                "rationale": "Covers platform integration scenarios missing from current test suite",
                "implementation": "Device simulation and orientation testing framework",
            },
        ]
