"""
Core service layer for incident and alert management
"""
import logging
from typing import List, Dict, Any, Optional
from uuid import UUID
from datetime import datetime, timedelta
from sqlalchemy.orm import Session
from sqlalchemy import desc

logger = logging.getLogger(__name__)


class AlertService:
    """Service for alert operations"""
    
    def __init__(self, db: Session):
        self.db = db
    
    async def create_alert(self, alert_data: Dict[str, Any]) -> Dict[str, Any]:
        """Create a new alert"""
        try:
            logger.info(f"Creating alert from source: {alert_data.get('source')}")
            # Implementation would interact with database models
            # This is a placeholder for the actual implementation
            return {
                "status": "created",
                "alert_id": "placeholder"
            }
        except Exception as e:
            logger.error(f"Error creating alert: {e}")
            raise
    
    async def get_alert(self, alert_id: UUID) -> Optional[Dict[str, Any]]:
        """Retrieve an alert by ID"""
        try:
            logger.info(f"Retrieving alert: {alert_id}")
            return None  # Placeholder
        except Exception as e:
            logger.error(f"Error retrieving alert: {e}")
            raise
    
    async def list_alerts(
        self,
        severity: Optional[str] = None,
        status: Optional[str] = None,
        source: Optional[str] = None,
        limit: int = 100,
        offset: int = 0
    ) -> Dict[str, Any]:
        """List alerts with filters"""
        try:
            logger.info(f"Listing alerts with filters")
            return {
                "items": [],
                "total": 0,
                "limit": limit,
                "offset": offset
            }
        except Exception as e:
            logger.error(f"Error listing alerts: {e}")
            raise
    
    async def update_alert(self, alert_id: UUID, update_data: Dict[str, Any]) -> Dict[str, Any]:
        """Update an alert"""
        try:
            logger.info(f"Updating alert: {alert_id}")
            return {"status": "updated"}
        except Exception as e:
            logger.error(f"Error updating alert: {e}")
            raise
    
    async def deduplicate_alert(self, fingerprint: str) -> Optional[UUID]:
        """Check if alert with same fingerprint already exists"""
        try:
            logger.debug(f"Checking for duplicate alert with fingerprint: {fingerprint}")
            return None  # Placeholder
        except Exception as e:
            logger.error(f"Error deduplicating alert: {e}")
            raise


class IncidentService:
    """Service for incident operations"""
    
    def __init__(self, db: Session):
        self.db = db
    
    async def create_incident(self, incident_data: Dict[str, Any]) -> Dict[str, Any]:
        """Create a new incident"""
        try:
            logger.info(f"Creating incident: {incident_data.get('title')}")
            return {
                "status": "created",
                "incident_id": "placeholder"
            }
        except Exception as e:
            logger.error(f"Error creating incident: {e}")
            raise
    
    async def get_incident(self, incident_id: UUID) -> Optional[Dict[str, Any]]:
        """Retrieve an incident by ID"""
        try:
            logger.info(f"Retrieving incident: {incident_id}")
            return None  # Placeholder
        except Exception as e:
            logger.error(f"Error retrieving incident: {e}")
            raise
    
    async def list_incidents(
        self,
        severity: Optional[str] = None,
        status: Optional[str] = None,
        limit: int = 100,
        offset: int = 0
    ) -> Dict[str, Any]:
        """List incidents with filters"""
        try:
            logger.info(f"Listing incidents")
            return {
                "items": [],
                "total": 0,
                "limit": limit,
                "offset": offset
            }
        except Exception as e:
            logger.error(f"Error listing incidents: {e}")
            raise
    
    async def update_incident(self, incident_id: UUID, update_data: Dict[str, Any]) -> Dict[str, Any]:
        """Update an incident"""
        try:
            logger.info(f"Updating incident: {incident_id}")
            return {"status": "updated"}
        except Exception as e:
            logger.error(f"Error updating incident: {e}")
            raise
    
    async def acknowledge_incident(self, incident_id: UUID, user: str) -> Dict[str, Any]:
        """Acknowledge an incident"""
        try:
            logger.info(f"Acknowledging incident {incident_id} by {user}")
            return {"status": "acknowledged"}
        except Exception as e:
            logger.error(f"Error acknowledging incident: {e}")
            raise
    
    async def resolve_incident(self, incident_id: UUID, user: str, resolution: str) -> Dict[str, Any]:
        """Resolve an incident"""
        try:
            logger.info(f"Resolving incident {incident_id} by {user}")
            return {"status": "resolved"}
        except Exception as e:
            logger.error(f"Error resolving incident: {e}")
            raise
    
    async def get_incident_timeline(self, incident_id: UUID) -> List[Dict[str, Any]]:
        """Get timeline of incident events"""
        try:
            logger.info(f"Retrieving timeline for incident: {incident_id}")
            return []  # Placeholder
        except Exception as e:
            logger.error(f"Error retrieving timeline: {e}")
            raise
    
    async def add_incident_event(
        self,
        incident_id: UUID,
        event_type: str,
        message: str,
        actor: str,
        details: Optional[Dict[str, Any]] = None
    ) -> Dict[str, Any]:
        """Add an event to incident timeline"""
        try:
            logger.info(f"Adding event to incident {incident_id}: {event_type}")
            return {"status": "added"}
        except Exception as e:
            logger.error(f"Error adding incident event: {e}")
            raise
    
    async def correlate_alerts(self, alert_ids: List[UUID]) -> UUID:
        """Correlate multiple alerts into an incident"""
        try:
            logger.info(f"Correlating {len(alert_ids)} alerts")
            return UUID("00000000-0000-0000-0000-000000000000")  # Placeholder
        except Exception as e:
            logger.error(f"Error correlating alerts: {e}")
            raise


class AnalysisService:
    """Service for LLM-based analysis"""
    
    def __init__(self, db: Session, llm_client):
        self.db = db
        self.llm_client = llm_client
    
    async def analyze_incident_classification(self, incident_id: UUID) -> Dict[str, Any]:
        """Analyze incident and classify it"""
        try:
            logger.info(f"Classifying incident: {incident_id}")
            return {"status": "classified"}
        except Exception as e:
            logger.error(f"Error classifying incident: {e}")
            raise
    
    async def analyze_root_cause(self, incident_id: UUID) -> Dict[str, Any]:
        """Perform root cause analysis on incident"""
        try:
            logger.info(f"Analyzing root cause for incident: {incident_id}")
            return {"status": "analyzed"}
        except Exception as e:
            logger.error(f"Error analyzing root cause: {e}")
            raise
    
    async def generate_recommendations(self, incident_id: UUID) -> List[Dict[str, Any]]:
        """Generate recommendations for incident resolution"""
        try:
            logger.info(f"Generating recommendations for incident: {incident_id}")
            return []  # Placeholder
        except Exception as e:
            logger.error(f"Error generating recommendations: {e}")
            raise
    
    async def normalize_alert(self, raw_alert: Dict[str, Any], source: str) -> Dict[str, Any]:
        """Normalize an alert using LLM"""
        try:
            logger.info(f"Normalizing alert from source: {source}")
            return {}  # Placeholder
        except Exception as e:
            logger.error(f"Error normalizing alert: {e}")
            raise


class CorrelationService:
    """Service for alert correlation"""
    
    def __init__(self, db: Session, llm_client):
        self.db = db
        self.llm_client = llm_client
    
    async def correlate_alerts(self, alerts: List[Dict[str, Any]]) -> Dict[str, Any]:
        """Correlate multiple alerts into incidents"""
        try:
            logger.info(f"Correlating {len(alerts)} alerts")
            return {"correlations": []}  # Placeholder
        except Exception as e:
            logger.error(f"Error correlating alerts: {e}")
            raise
    
    async def check_correlation_window(self, time_window_minutes: int = 5) -> List[Dict[str, Any]]:
        """Check for alerts within correlation window to process"""
        try:
            logger.info(f"Checking for alerts within {time_window_minutes} minute window")
            return []  # Placeholder
        except Exception as e:
            logger.error(f"Error checking correlation window: {e}")
            raise


class MetricsService:
    """Service for system metrics and statistics"""
    
    def __init__(self, db: Session):
        self.db = db
    
    async def get_system_stats(self) -> Dict[str, Any]:
        """Get system statistics"""
        try:
            logger.info("Retrieving system statistics")
            return {
                "total_incidents": 0,
                "open_incidents": 0,
                "total_alerts": 0,
                "avg_mttr_minutes": None
            }
        except Exception as e:
            logger.error(f"Error retrieving system stats: {e}")
            raise
    
    async def get_incident_stats(self) -> Dict[str, Any]:
        """Get detailed incident statistics"""
        try:
            logger.info("Retrieving incident statistics")
            return {
                "by_severity": {},
                "by_status": {},
                "by_category": {}
            }
        except Exception as e:
            logger.error(f"Error retrieving incident stats: {e}")
            raise