"""
Reactive Telemetry Configuration for Python Stub Implementation

Provides comprehensive telemetry configuration management with reactive patterns,
health monitoring, dynamic updates, and validation. Supports real-time configuration
streaming and performance monitoring.
"""

import asyncio
import logging
from dataclasses import dataclass, field
from datetime import datetime, timedelta
from enum import Enum
from typing import Any, Dict, List, Optional, AsyncGenerator
from uuid import uuid4

from .reactive_telemetry_collector import ReactiveTelemetryCollector
from .reactive_application_insights_service import ReactiveApplicationInsightsService


class HealthStatus(Enum):
    """Health status enumeration"""

    HEALTHY = "healthy"
    DEGRADED = "degraded"
    UNHEALTHY = "unhealthy"


@dataclass
class TelemetryConfigSnapshot:
    """Snapshot of telemetry configuration"""

    key: str
    role: str
    version: str
    environment: str
    enable_metrics: bool
    enable_tracing: bool
    enable_dependency_tracking: bool
    sampling_percentage: float
    flush_interval_seconds: int
    max_batch_size: int
    max_retry_attempts: int
    enable_reactive_features: bool
    enable_health_checks: bool
    enable_performance_counters: bool
    custom_dimensions_count: int
    is_initialized: bool
    timestamp: float


@dataclass
class TelemetryPerformanceMetrics:
    """Performance metrics for telemetry configuration"""

    initialization_count: int = 0
    successful_initializations: int = 0
    failed_initializations: int = 0
    config_updates: int = 0
    successful_updates: int = 0
    failed_updates: int = 0
    health_checks: int = 0
    healthy_checks: int = 0
    unhealthy_checks: int = 0
    error_count: int = 0
    last_error: Optional[str] = None
    last_update_time: Optional[datetime] = None
    average_update_duration_ms: float = 0.0
    timestamp: datetime = field(default_factory=datetime.now)


@dataclass
class ConfigUpdateResult:
    """Result of configuration update"""

    success: bool
    applied_updates: int
    total_requested: int
    timestamp: float
    error_message: Optional[str] = None


@dataclass
class ValidationResult:
    """Result of configuration validation"""

    is_valid: bool
    issues: List[str]
    timestamp: float


@dataclass
class TelemetryHealthInfo:
    """Health information for telemetry system"""

    status: HealthStatus
    message: Optional[str] = None
    timestamp: datetime = field(default_factory=datetime.now)
    details: Dict[str, Any] = field(default_factory=dict)
    dependencies: Dict[str, HealthStatus] = field(default_factory=dict)


class TelemetryConfigMetrics:
    """Metrics collector for telemetry configuration"""

    def __init__(self):
        self.metrics = TelemetryPerformanceMetrics()
        self.update_durations: List[float] = []
        self.logger = logging.getLogger(f"{__name__}.Metrics")

    def record_initialization(self, success: bool) -> None:
        """Record initialization attempt"""
        self.metrics.initialization_count += 1
        if success:
            self.metrics.successful_initializations += 1
        else:
            self.metrics.failed_initializations += 1

        self.logger.debug(f"Initialization recorded: success={success}")

    def record_config_update(self, duration_ns: float, success: bool) -> None:
        """Record configuration update"""
        duration_ms = duration_ns / 1_000_000  # Convert nanoseconds to milliseconds

        self.metrics.config_updates += 1
        self.metrics.last_update_time = datetime.now()

        if success:
            self.metrics.successful_updates += 1
            self.update_durations.append(duration_ms)

            # Update average duration (keep last 100 measurements)
            if len(self.update_durations) > 100:
                self.update_durations = self.update_durations[-100:]

            self.metrics.average_update_duration_ms = sum(self.update_durations) / len(
                self.update_durations
            )
        else:
            self.metrics.failed_updates += 1

        self.logger.debug(
            f"Config update recorded: success={success}, duration={duration_ms:.2f}ms"
        )

    def record_health_check(self, is_healthy: bool) -> None:
        """Record health check result"""
        self.metrics.health_checks += 1
        if is_healthy:
            self.metrics.healthy_checks += 1
        else:
            self.metrics.unhealthy_checks += 1

        self.logger.debug(f"Health check recorded: healthy={is_healthy}")

    def record_error(self, error_message: str) -> None:
        """Record error"""
        self.metrics.error_count += 1
        self.metrics.last_error = error_message
        self.logger.error(f"Error recorded: {error_message}")

    def record_performance_metrics(self, metrics: Dict[str, Any]) -> None:
        """Record performance metrics"""
        # This would be called from reactive monitoring
        self.logger.debug(f"Performance metrics recorded: {metrics}")

    def get_performance_snapshot(self) -> TelemetryPerformanceMetrics:
        """Get current performance metrics snapshot"""
        self.metrics.timestamp = datetime.now()
        return self.metrics


class TelemetryHealthMonitor:
    """Monitor telemetry system health"""

    def __init__(self, config: "ReactiveTelemetryConfig"):
        self.config = config
        self.logger = logging.getLogger(f"{__name__}.HealthMonitor")
        self.health_scope_task: Optional[asyncio.Task] = None
        self.current_health = TelemetryHealthInfo(
            status=HealthStatus.HEALTHY, message="Telemetry system healthy"
        )

    async def start(self) -> None:
        """Start health monitoring"""
        if self.health_scope_task and not self.health_scope_task.done():
            return

        self.health_scope_task = asyncio.create_task(self._monitor_health())
        self.logger.info("Telemetry health monitoring started")

    async def stop(self) -> None:
        """Stop health monitoring"""
        if self.health_scope_task and not self.health_scope_task.done():
            self.health_scope_task.cancel()
            try:
                await self.health_scope_task
            except asyncio.CancelledError:
                pass

        self.logger.info("Telemetry health monitoring stopped")

    async def _monitor_health(self) -> None:
        """Monitor health continuously"""
        while True:
            try:
                # Check telemetry system health
                health = await self._check_telemetry_health()
                self.current_health = health

                # Record health check
                self.config.config_metrics.record_health_check(
                    health.status == HealthStatus.HEALTHY
                )

                await asyncio.sleep(30)  # Check every 30 seconds

            except asyncio.CancelledError:
                break
            except Exception as e:
                self.logger.error(f"Health monitoring error: {e}")
                self.config.config_metrics.record_error(f"Health monitoring error: {e}")
                await asyncio.sleep(10)  # Retry after shorter interval on error

    async def _check_telemetry_health(self) -> TelemetryHealthInfo:
        """Check overall telemetry system health"""
        try:
            dependencies = {}
            details = {}

            # Check configuration validity
            validation = await self.config.validate_configuration()
            dependencies["configuration"] = (
                HealthStatus.HEALTHY if validation.is_valid else HealthStatus.UNHEALTHY
            )
            details["configuration_issues"] = validation.issues

            # Check Application Insights connectivity (mock)
            ai_health = await self._check_application_insights_health()
            dependencies["application_insights"] = ai_health

            # Check telemetry collector health (mock)
            collector_health = await self._check_telemetry_collector_health()
            dependencies["telemetry_collector"] = collector_health

            # Determine overall health
            overall_status = self._calculate_overall_health(dependencies)

            return TelemetryHealthInfo(
                status=overall_status,
                message=f"Telemetry system {overall_status.value}",
                timestamp=datetime.now(),
                details=details,
                dependencies=dependencies,
            )

        except Exception as e:
            self.logger.error(f"Health check failed: {e}")
            return TelemetryHealthInfo(
                status=HealthStatus.UNHEALTHY,
                message=f"Health check failed: {e}",
                timestamp=datetime.now(),
                details={"error": str(e)},
            )

    async def _check_application_insights_health(self) -> HealthStatus:
        """Check Application Insights health"""
        try:
            # Mock health check - in real scenario, this would ping Application Insights API
            await asyncio.sleep(0.05)  # Simulate network call
            return HealthStatus.HEALTHY
        except Exception:
            return HealthStatus.UNHEALTHY

    async def _check_telemetry_collector_health(self) -> HealthStatus:
        """Check telemetry collector health"""
        try:
            # Mock health check
            await asyncio.sleep(0.02)
            return HealthStatus.HEALTHY
        except Exception:
            return HealthStatus.UNHEALTHY

    def _calculate_overall_health(
        self, dependencies: Dict[str, HealthStatus]
    ) -> HealthStatus:
        """Calculate overall health from dependencies"""
        statuses = list(dependencies.values())

        if any(status == HealthStatus.UNHEALTHY for status in statuses):
            return HealthStatus.UNHEALTHY

        if any(status == HealthStatus.DEGRADED for status in statuses):
            return HealthStatus.DEGRADED

        return HealthStatus.HEALTHY

    def get_current_health(self) -> TelemetryHealthInfo:
        """Get current health status"""
        return self.current_health


class ReactiveTelemetryConfig:
    """
    Modern reactive telemetry configuration providing comprehensive
    telemetry setup with reactive patterns, health monitoring,
    and advanced configuration management.
    """

    def __init__(self):
        # Configuration properties
        self.key: str = ""
        self.role: str = "python-service"
        self.version: str = "1.0.0"
        self.environment: str = "development"
        self.enable_metrics: bool = True
        self.enable_tracing: bool = True
        self.enable_dependency_tracking: bool = True
        self.sampling_percentage: float = 100.0
        self.flush_interval_seconds: int = 30
        self.max_batch_size: int = 500
        self.max_retry_attempts: int = 3
        self.enable_reactive_features: bool = True
        self.enable_health_checks: bool = True
        self.enable_performance_counters: bool = True
        self.custom_dimensions: Dict[str, str] = {}

        # Internal state
        self.config_metrics = TelemetryConfigMetrics()
        self.is_initialized: bool = False
        self.logger = logging.getLogger(__name__)

        # Services
        self.telemetry_collector: Optional[ReactiveTelemetryCollector] = None
        self.application_insights_service: Optional[
            ReactiveApplicationInsightsService
        ] = None
        self.health_monitor: Optional[TelemetryHealthMonitor] = None

        # Background tasks
        self.monitoring_tasks: List[asyncio.Task] = []

        self.logger.info("Reactive Telemetry Configuration initialized")

    async def initialize(self) -> bool:
        """Initialize telemetry configuration"""
        try:
            if self.is_initialized:
                return True

            # Validate configuration
            validation = await self.validate_configuration()
            if not validation.is_valid:
                self.logger.error(
                    f"Configuration validation failed: {validation.issues}"
                )
                self.config_metrics.record_initialization(False)
                return False

            # Create services
            self.telemetry_collector = ReactiveTelemetryCollector()
            self.application_insights_service = ReactiveApplicationInsightsService()

            # Start services
            await self.telemetry_collector.start()

            # Initialize health monitoring
            if self.enable_health_checks:
                self.health_monitor = TelemetryHealthMonitor(self)
                await self.health_monitor.start()

            # Start reactive monitoring if enabled
            if self.enable_reactive_features:
                await self._start_reactive_monitoring()

            self.is_initialized = True
            self.config_metrics.record_initialization(True)

            self.logger.info(
                "Reactive Telemetry Configuration initialized successfully"
            )
            return True

        except Exception as e:
            self.logger.error(f"Failed to initialize telemetry configuration: {e}")
            self.config_metrics.record_initialization(False)
            self.config_metrics.record_error(f"Initialization failed: {e}")
            return False

    async def shutdown(self) -> None:
        """Shutdown telemetry configuration"""
        try:
            # Cancel monitoring tasks
            for task in self.monitoring_tasks:
                if not task.done():
                    task.cancel()

            if self.monitoring_tasks:
                await asyncio.gather(*self.monitoring_tasks, return_exceptions=True)

            # Stop health monitor
            if self.health_monitor:
                await self.health_monitor.stop()

            # Stop services
            if self.telemetry_collector:
                await self.telemetry_collector.stop()

            self.is_initialized = False
            self.logger.info("Reactive Telemetry Configuration shutdown completed")

        except Exception as e:
            self.logger.error(f"Error during shutdown: {e}")

    async def get_configuration_stream(
        self,
    ) -> AsyncGenerator[TelemetryConfigSnapshot, None]:
        """Reactive configuration stream for dynamic updates"""
        while self.is_initialized:
            try:
                snapshot = self._create_config_snapshot()
                yield snapshot
                await asyncio.sleep(30)  # Emit every 30 seconds
            except asyncio.CancelledError:
                break
            except Exception as e:
                self.logger.error(f"Configuration stream error: {e}")
                await asyncio.sleep(5)  # Retry after shorter interval

    async def get_performance_metrics_stream(
        self,
    ) -> AsyncGenerator[TelemetryPerformanceMetrics, None]:
        """Performance metrics stream"""
        while self.is_initialized:
            try:
                metrics = self.config_metrics.get_performance_snapshot()
                yield metrics
                await asyncio.sleep(5)  # Emit every 5 seconds
            except asyncio.CancelledError:
                break
            except Exception as e:
                self.logger.error(f"Performance metrics stream error: {e}")
                await asyncio.sleep(2)  # Retry after shorter interval

    async def update_configuration(self, updates: Dict[str, Any]) -> ConfigUpdateResult:
        """Dynamic configuration update"""
        start_time = asyncio.get_event_loop().time()
        applied_updates = 0

        try:
            for key, value in updates.items():
                if hasattr(self, key):
                    # Validate the update
                    if await self._validate_update(key, value):
                        setattr(self, key, value)
                        applied_updates += 1
                        self.logger.debug(f"Configuration updated: {key} = {value}")
                    else:
                        self.logger.warning(
                            f"Invalid configuration update: {key} = {value}"
                        )

            end_time = asyncio.get_event_loop().time()
            duration_ns = (
                end_time - start_time
            ) * 1_000_000_000  # Convert to nanoseconds

            self.config_metrics.record_config_update(duration_ns, True)

            return ConfigUpdateResult(
                success=True,
                applied_updates=applied_updates,
                total_requested=len(updates),
                timestamp=end_time,
            )

        except Exception as e:
            end_time = asyncio.get_event_loop().time()
            duration_ns = (end_time - start_time) * 1_000_000_000

            self.config_metrics.record_config_update(duration_ns, False)
            self.config_metrics.record_error(f"Configuration update failed: {e}")

            return ConfigUpdateResult(
                success=False,
                applied_updates=applied_updates,
                total_requested=len(updates),
                timestamp=end_time,
                error_message=str(e),
            )

    async def validate_configuration(self) -> ValidationResult:
        """Validate current configuration"""
        issues = []

        if not self.key.strip():
            issues.append("Application Insights key is required")

        if not (0 <= self.sampling_percentage <= 100):
            issues.append("Sampling percentage must be between 0 and 100")

        if self.flush_interval_seconds < 1:
            issues.append("Flush interval must be at least 1 second")

        if not (1 <= self.max_batch_size <= 1000):
            issues.append("Batch size must be between 1 and 1000")

        if not (0 <= self.max_retry_attempts <= 10):
            issues.append("Max retry attempts must be between 0 and 10")

        return ValidationResult(
            is_valid=len(issues) == 0,
            issues=issues,
            timestamp=asyncio.get_event_loop().time(),
        )

    async def export_configuration(self) -> Dict[str, Any]:
        """Export current configuration"""
        return {
            "key": "***masked***" if self.key else "",
            "role": self.role,
            "version": self.version,
            "environment": self.environment,
            "enable_metrics": self.enable_metrics,
            "enable_tracing": self.enable_tracing,
            "enable_dependency_tracking": self.enable_dependency_tracking,
            "sampling_percentage": self.sampling_percentage,
            "flush_interval_seconds": self.flush_interval_seconds,
            "max_batch_size": self.max_batch_size,
            "max_retry_attempts": self.max_retry_attempts,
            "enable_reactive_features": self.enable_reactive_features,
            "enable_health_checks": self.enable_health_checks,
            "enable_performance_counters": self.enable_performance_counters,
            "custom_dimensions": self.custom_dimensions,
            "is_initialized": self.is_initialized,
        }

    async def reset_to_defaults(self) -> ConfigUpdateResult:
        """Reset configuration to defaults"""
        try:
            defaults = {
                "role": "python-service",
                "version": "1.0.0",
                "environment": "development",
                "enable_metrics": True,
                "enable_tracing": True,
                "enable_dependency_tracking": True,
                "sampling_percentage": 100.0,
                "flush_interval_seconds": 30,
                "max_batch_size": 500,
                "max_retry_attempts": 3,
                "enable_reactive_features": True,
                "enable_health_checks": True,
                "enable_performance_counters": True,
                "custom_dimensions": {},
            }

            return await self.update_configuration(defaults)

        except Exception as e:
            return ConfigUpdateResult(
                success=False,
                applied_updates=0,
                total_requested=13,
                timestamp=asyncio.get_event_loop().time(),
                error_message=f"Failed to reset configuration: {e}",
            )

    def get_health_status(self) -> Optional[TelemetryHealthInfo]:
        """Get current health status"""
        if self.health_monitor:
            return self.health_monitor.get_current_health()
        return None

    async def _start_reactive_monitoring(self) -> None:
        """Start reactive monitoring"""
        if self.application_insights_service:
            # Monitor service health
            health_task = asyncio.create_task(self._monitor_service_health())
            self.monitoring_tasks.append(health_task)

            # Monitor performance metrics
            metrics_task = asyncio.create_task(self._monitor_performance_metrics())
            self.monitoring_tasks.append(metrics_task)

            self.logger.info("Reactive monitoring started")

    async def _monitor_service_health(self) -> None:
        """Monitor service health"""
        while self.is_initialized:
            try:
                if self.application_insights_service:
                    health = (
                        await self.application_insights_service.get_current_health()
                    )
                    is_healthy = health.get("status") == "healthy"
                    self.config_metrics.record_health_check(is_healthy)

                await asyncio.sleep(60)  # Check every minute

            except asyncio.CancelledError:
                break
            except Exception as e:
                self.config_metrics.record_error(f"Health monitoring error: {e}")
                await asyncio.sleep(30)  # Retry after shorter interval

    async def _monitor_performance_metrics(self) -> None:
        """Monitor performance metrics"""
        while self.is_initialized:
            try:
                if self.application_insights_service:
                    # Mock performance metrics collection
                    metrics = {
                        "event_count": 100,
                        "metric_count": 50,
                        "avg_response_time": 150.5,
                    }
                    self.config_metrics.record_performance_metrics(metrics)

                await asyncio.sleep(30)  # Collect every 30 seconds

            except asyncio.CancelledError:
                break
            except Exception as e:
                self.config_metrics.record_error(f"Metrics monitoring error: {e}")
                await asyncio.sleep(15)  # Retry after shorter interval

    async def _validate_update(self, key: str, value: Any) -> bool:
        """Validate a configuration update"""
        validation_rules = {
            "sampling_percentage": lambda v: 0 <= v <= 100,
            "flush_interval_seconds": lambda v: v >= 1,
            "max_batch_size": lambda v: 1 <= v <= 1000,
            "max_retry_attempts": lambda v: 0 <= v <= 10,
            "enable_metrics": lambda v: isinstance(v, bool),
            "enable_tracing": lambda v: isinstance(v, bool),
            "enable_dependency_tracking": lambda v: isinstance(v, bool),
            "enable_reactive_features": lambda v: isinstance(v, bool),
            "enable_health_checks": lambda v: isinstance(v, bool),
            "enable_performance_counters": lambda v: isinstance(v, bool),
        }

        if key in validation_rules:
            return validation_rules[key](value)

        return True  # Allow other updates

    def _create_config_snapshot(self) -> TelemetryConfigSnapshot:
        """Create configuration snapshot"""
        return TelemetryConfigSnapshot(
            key=self.key[:10] + "..." if self.key else "",  # Partial key for security
            role=self.role,
            version=self.version,
            environment=self.environment,
            enable_metrics=self.enable_metrics,
            enable_tracing=self.enable_tracing,
            enable_dependency_tracking=self.enable_dependency_tracking,
            sampling_percentage=self.sampling_percentage,
            flush_interval_seconds=self.flush_interval_seconds,
            max_batch_size=self.max_batch_size,
            max_retry_attempts=self.max_retry_attempts,
            enable_reactive_features=self.enable_reactive_features,
            enable_health_checks=self.enable_health_checks,
            enable_performance_counters=self.enable_performance_counters,
            custom_dimensions_count=len(self.custom_dimensions),
            is_initialized=self.is_initialized,
            timestamp=asyncio.get_event_loop().time(),
        )
