"""
Production deployment orchestration and automation for Phase 3.
"""

import json
import logging
import threading
import time
import uuid
from datetime import datetime
from enum import Enum
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union

# Conditional imports for optional dependencies
try:
    import subprocess

    HAS_SUBPROCESS = True
except ImportError:
    HAS_SUBPROCESS = False

try:
    import requests

    HAS_REQUESTS = True
except ImportError:
    HAS_REQUESTS = False

from ..performance.core.performance_framework import PerformanceManager

logger = logging.getLogger(__name__)


class DeploymentStatus(Enum):
    """Deployment status enumeration."""

    PENDING = "pending"
    IN_PROGRESS = "in_progress"
    VALIDATING = "validating"
    COMPLETED = "completed"
    FAILED = "failed"
    ROLLED_BACK = "rolled_back"


class AlertSeverity(Enum):
    """Alert severity levels."""

    INFO = "info"
    WARNING = "warning"
    ERROR = "error"
    CRITICAL = "critical"


class ProductionDeployer:
    """Main deployment orchestration and automation."""

    def __init__(self):
        """Initialize the production deployer."""
        self.deployment_automation = DeploymentAutomation()
        self.health_checker = HealthChecker()
        self.rollback_manager = RollbackManager()
        self.deployments = {}
        self.logger = logging.getLogger(f"{__name__}.ProductionDeployer")
        self._lock = threading.RLock()

    def deploy_to_production(self, version: str) -> dict[str, Any]:
        """Execute production deployment."""
        with self._lock:
            deployment_id = str(uuid.uuid4())
            start_time = time.time()

            try:
                self.logger.info(
                    f"Starting deployment {deployment_id} for version {version}",
                )

                # Create deployment record
                deployment = {
                    "id": deployment_id,
                    "version": version,
                    "status": DeploymentStatus.IN_PROGRESS.value,
                    "start_time": datetime.now().isoformat(),
                    "steps": [],
                    "errors": [],
                }
                self.deployments[deployment_id] = deployment

                # Step 1: Pre-deployment validation
                pre_validation = self._pre_deployment_validation(version)
                deployment["steps"].append(pre_validation)
                if not pre_validation["success"]:
                    deployment["status"] = DeploymentStatus.FAILED.value
                    return deployment

                # Step 2: Create deployment pipeline
                pipeline_id = self.deployment_automation.create_deployment_pipeline(
                    {
                        "version": version,
                        "environment": "production",
                        "deployment_id": deployment_id,
                    },
                )
                deployment["pipeline_id"] = pipeline_id

                # Step 3: Execute deployment
                execution_result = self.deployment_automation.execute_deployment(
                    pipeline_id,
                )
                deployment["steps"].append(execution_result)

                if not execution_result.get("success"):
                    deployment["status"] = DeploymentStatus.FAILED.value
                    # Trigger rollback
                    self.execute_rollback(deployment_id)
                    return deployment

                # Step 4: Post-deployment validation
                deployment["status"] = DeploymentStatus.VALIDATING.value
                validation_result = self.validate_deployment(deployment_id)
                deployment["steps"].append(validation_result)

                if validation_result["status"] == "healthy":
                    deployment["status"] = DeploymentStatus.COMPLETED.value
                else:
                    deployment["status"] = DeploymentStatus.FAILED.value
                    self.execute_rollback(deployment_id)

                deployment["end_time"] = datetime.now().isoformat()
                deployment["duration"] = time.time() - start_time

                return deployment

            except Exception as e:
                self.logger.error(f"Deployment failed: {e}")
                deployment["status"] = DeploymentStatus.FAILED.value
                deployment["errors"].append(str(e))
                return deployment

    def _pre_deployment_validation(self, version: str) -> dict[str, Any]:
        """Perform pre-deployment validation."""
        validations = {
            "step": "pre_deployment_validation",
            "timestamp": datetime.now().isoformat(),
            "checks": [],
            "success": True,
        }

        # Check version format
        if not version or not isinstance(version, str):
            validations["checks"].append(
                {
                    "name": "version_format",
                    "passed": False,
                    "message": "Invalid version format",
                },
            )
            validations["success"] = False
        else:
            validations["checks"].append(
                {
                    "name": "version_format",
                    "passed": True,
                    "message": "Version format valid",
                },
            )

        # Check system health
        health = self.health_checker.run_health_checks()
        validations["checks"].append(
            {
                "name": "system_health",
                "passed": health.get("overall_status") == "healthy",
                "message": f"System health: {health.get('overall_status')}",
            },
        )

        if health.get("overall_status") != "healthy":
            validations["success"] = False

        return validations

    def validate_deployment(self, deployment_id: str) -> dict[str, Any]:
        """Validate successful deployment."""
        validation = {
            "deployment_id": deployment_id,
            "timestamp": datetime.now().isoformat(),
            "checks": [],
            "status": "healthy",
        }

        if deployment_id not in self.deployments:
            validation["status"] = "error"
            validation["error"] = "Deployment not found"
            return validation

        # Run health checks
        health = self.health_checker.run_health_checks()
        validation["health"] = health

        # Check dependency health
        dependency_health = self.health_checker.check_dependency_health()
        validation["dependencies"] = dependency_health

        # Check performance health
        performance_health = self.health_checker.assess_performance_health()
        validation["performance"] = performance_health

        # Determine overall status
        if health.get("overall_status") != "healthy":
            validation["status"] = "unhealthy"
        elif dependency_health.get("status") == "critical":
            validation["status"] = "critical"
        elif performance_health.get("status") == "degraded":
            validation["status"] = "degraded"

        return validation

    def monitor_deployment_health(self, deployment_id: str) -> dict[str, Any]:
        """Monitor deployment health post-deployment."""
        monitoring = {
            "deployment_id": deployment_id,
            "timestamp": datetime.now().isoformat(),
            "health_checks": [],
            "metrics": {},
            "status": "monitoring",
        }

        if deployment_id not in self.deployments:
            monitoring["status"] = "error"
            monitoring["error"] = "Deployment not found"
            return monitoring

        # Continuous health monitoring
        for i in range(3):  # Monitor for 3 intervals
            health = self.health_checker.run_health_checks()
            monitoring["health_checks"].append(
                {
                    "timestamp": datetime.now().isoformat(),
                    "status": health.get("overall_status"),
                    "metrics": health.get("metrics", {}),
                },
            )
            time.sleep(0.5)  # Short interval for demo

        # Aggregate results
        statuses = [check["status"] for check in monitoring["health_checks"]]
        if all(s == "healthy" for s in statuses):
            monitoring["status"] = "healthy"
        elif any(s == "critical" for s in statuses):
            monitoring["status"] = "critical"
        else:
            monitoring["status"] = "degraded"

        return monitoring

    def execute_rollback(self, deployment_id: str) -> dict[str, Any]:
        """Execute rollback if needed."""
        if deployment_id not in self.deployments:
            return {"error": "Deployment not found"}

        deployment = self.deployments[deployment_id]
        rollback_result = self.rollback_manager.execute_rollback(deployment_id)

        if rollback_result["success"]:
            deployment["status"] = DeploymentStatus.ROLLED_BACK.value

        return rollback_result


class DeploymentAutomation:
    """Automated deployment pipelines and configuration management."""

    def __init__(self):
        """Initialize the deployment automation."""
        self.deployment_configs = {}
        self.environment_configs = {
            "development": {
                "max_instances": 2,
                "auto_scaling": False,
                "monitoring_level": "verbose",
            },
            "staging": {
                "max_instances": 5,
                "auto_scaling": True,
                "monitoring_level": "standard",
            },
            "production": {
                "max_instances": 20,
                "auto_scaling": True,
                "monitoring_level": "minimal",
            },
        }
        self.pipelines = {}
        self.logger = logging.getLogger(f"{__name__}.DeploymentAutomation")

    def create_deployment_pipeline(self, config: dict[str, Any]) -> str:
        """Create automated deployment pipeline."""
        pipeline_id = str(uuid.uuid4())

        pipeline = {
            "id": pipeline_id,
            "config": config,
            "created_at": datetime.now().isoformat(),
            "stages": ["prepare", "build", "test", "deploy", "verify"],
            "status": "created",
        }

        self.pipelines[pipeline_id] = pipeline
        self.logger.info(f"Created deployment pipeline {pipeline_id}")

        return pipeline_id

    def execute_deployment(self, pipeline_id: str) -> dict[str, Any]:
        """Execute deployment pipeline."""
        if pipeline_id not in self.pipelines:
            return {"success": False, "error": "Pipeline not found"}

        pipeline = self.pipelines[pipeline_id]
        execution_result = {
            "pipeline_id": pipeline_id,
            "timestamp": datetime.now().isoformat(),
            "stages": [],
            "success": True,
        }

        for stage in pipeline["stages"]:
            stage_result = self._execute_stage(stage, pipeline["config"])
            execution_result["stages"].append(stage_result)

            if not stage_result["success"]:
                execution_result["success"] = False
                break

        pipeline["status"] = "completed" if execution_result["success"] else "failed"
        return execution_result

    def _execute_stage(self, stage: str, config: dict[str, Any]) -> dict[str, Any]:
        """Execute a deployment stage."""
        stage_result = {
            "stage": stage,
            "timestamp": datetime.now().isoformat(),
            "success": True,
            "duration": 0,
        }

        start = time.time()

        # Simulate stage execution
        if stage == "prepare":
            stage_result["actions"] = [
                "Validated configuration",
                "Prepared environment",
            ]
        elif stage == "build":
            stage_result["actions"] = ["Built application", "Created artifacts"]
        elif stage == "test":
            stage_result["actions"] = ["Ran unit tests", "Ran integration tests"]
        elif stage == "deploy":
            stage_result["actions"] = ["Deployed to servers", "Updated load balancers"]
        elif stage == "verify":
            stage_result["actions"] = ["Verified deployment", "Ran smoke tests"]

        # Simulate potential failure
        import random

        if random.random() < 0.1:  # 10% chance of failure
            stage_result["success"] = False
            stage_result["error"] = f"Stage {stage} failed"

        stage_result["duration"] = time.time() - start
        return stage_result

    def manage_configurations(self, environment: str) -> dict[str, Any]:
        """Manage environment-specific configurations."""
        if environment not in self.environment_configs:
            return {"error": f"Unknown environment: {environment}"}

        config = self.environment_configs[environment].copy()
        config["environment"] = environment
        config["timestamp"] = datetime.now().isoformat()

        return config

    def provision_environment(self, environment: str) -> dict[str, Any]:
        """Provision deployment environment."""
        provisioning = {
            "environment": environment,
            "timestamp": datetime.now().isoformat(),
            "resources": [],
            "success": True,
        }

        if environment not in self.environment_configs:
            provisioning["success"] = False
            provisioning["error"] = f"Unknown environment: {environment}"
            return provisioning

        config = self.environment_configs[environment]

        # Simulate resource provisioning
        provisioning["resources"] = [
            {"type": "compute", "count": config["max_instances"]},
            {"type": "storage", "size_gb": 100 * config["max_instances"]},
            {"type": "network", "bandwidth_gbps": 10},
        ]

        return provisioning


class HealthChecker:
    """Comprehensive health monitoring and validation."""

    def __init__(self):
        """Initialize the health checker."""
        self.health_checks = {
            "system": self._check_system_health,
            "application": self._check_application_health,
            "database": self._check_database_health,
            "network": self._check_network_health,
        }
        self.alert_manager = AlertManager()
        self.performance_manager = PerformanceManager()
        self.logger = logging.getLogger(f"{__name__}.HealthChecker")

    def run_health_checks(self) -> dict[str, Any]:
        """Run comprehensive health checks."""
        health_report = {
            "timestamp": datetime.now().isoformat(),
            "checks": {},
            "overall_status": "healthy",
            "alerts": [],
        }

        for check_name, check_func in self.health_checks.items():
            try:
                result = check_func()
                health_report["checks"][check_name] = result

                if result["status"] == "critical":
                    health_report["overall_status"] = "critical"
                    alert_id = self.alert_manager.generate_alert(
                        "critical",
                        f"{check_name} health check failed",
                    )
                    health_report["alerts"].append(alert_id)
                elif (
                    result["status"] == "degraded"
                    and health_report["overall_status"] == "healthy"
                ):
                    health_report["overall_status"] = "degraded"

            except Exception as e:
                self.logger.error(f"Health check {check_name} failed: {e}")
                health_report["checks"][check_name] = {
                    "status": "error",
                    "error": str(e),
                }
                health_report["overall_status"] = "critical"

        # Collect performance metrics
        try:
            profile = self.performance_manager.collect_system_metrics()
            health_report["metrics"] = {
                "component": profile.component_name,
                "metric_count": len(profile.metrics),
                "optimization_potential": profile.optimization_potential,
            }
        except Exception as e:
            self.logger.warning(f"Could not collect performance metrics: {e}")

        return health_report

    def _check_system_health(self) -> dict[str, Any]:
        """Check system health."""
        import psutil

        health = {"status": "healthy", "metrics": {}}

        try:
            # CPU usage
            cpu_percent = psutil.cpu_percent(interval=0.1)
            health["metrics"]["cpu_usage"] = cpu_percent
            if cpu_percent > 90:
                health["status"] = "critical"
            elif cpu_percent > 70:
                health["status"] = "degraded"

            # Memory usage
            memory = psutil.virtual_memory()
            health["metrics"]["memory_usage"] = memory.percent
            if memory.percent > 90:
                health["status"] = "critical"
            elif memory.percent > 80:
                health["status"] = "degraded"

        except Exception as e:
            health["status"] = "error"
            health["error"] = str(e)

        return health

    def _check_application_health(self) -> dict[str, Any]:
        """Check application health."""
        return {"status": "healthy", "uptime": time.time(), "version": "1.0.0"}

    def _check_database_health(self) -> dict[str, Any]:
        """Check database health."""
        return {"status": "healthy", "connections": 5, "response_time_ms": 10}

    def _check_network_health(self) -> dict[str, Any]:
        """Check network health."""
        return {"status": "healthy", "latency_ms": 5, "packet_loss": 0.0}

    def check_dependency_health(self) -> dict[str, Any]:
        """Check health of system dependencies."""
        dependencies = {
            "timestamp": datetime.now().isoformat(),
            "dependencies": [],
            "status": "healthy",
        }

        # Check Python version
        import sys

        dependencies["dependencies"].append(
            {
                "name": "python",
                "version": f"{sys.version_info.major}.{sys.version_info.minor}",
                "status": "healthy",
            },
        )

        # Check optional dependencies
        dependencies["dependencies"].append(
            {
                "name": "subprocess",
                "available": HAS_SUBPROCESS,
                "status": "healthy" if HAS_SUBPROCESS else "degraded",
            },
        )

        dependencies["dependencies"].append(
            {
                "name": "requests",
                "available": HAS_REQUESTS,
                "status": "healthy" if HAS_REQUESTS else "degraded",
            },
        )

        if not HAS_SUBPROCESS or not HAS_REQUESTS:
            dependencies["status"] = "degraded"

        return dependencies

    def assess_performance_health(self) -> dict[str, Any]:
        """Assess overall system performance health."""
        assessment = {
            "timestamp": datetime.now().isoformat(),
            "status": "healthy",
            "metrics": {},
        }

        try:
            # Analyze performance
            analysis = self.performance_manager.analyze_performance()

            if analysis.get("bottlenecks"):
                assessment["status"] = "degraded"
                assessment["bottlenecks"] = analysis["bottlenecks"]

            assessment["metrics"] = analysis.get("metrics", {})

        except Exception as e:
            self.logger.warning(f"Performance assessment failed: {e}")
            assessment["status"] = "unknown"

        return assessment

    def generate_health_report(self) -> dict[str, Any]:
        """Generate comprehensive health report."""
        report = {
            "timestamp": datetime.now().isoformat(),
            "system_health": self.run_health_checks(),
            "dependency_health": self.check_dependency_health(),
            "performance_health": self.assess_performance_health(),
            "recommendations": [],
        }

        # Generate recommendations
        if report["system_health"]["overall_status"] != "healthy":
            report["recommendations"].append(
                "Investigate and resolve health check failures",
            )

        if report["dependency_health"]["status"] == "degraded":
            report["recommendations"].append(
                "Install optional dependencies for full functionality",
            )

        if report["performance_health"]["status"] == "degraded":
            report["recommendations"].append(
                "Run performance optimization to improve system performance",
            )

        return report


class RollbackManager:
    """Automated rollback capabilities and recovery management."""

    def __init__(self):
        """Initialize the rollback manager."""
        self.rollback_strategies = {
            "blue_green": self._blue_green_rollback,
            "canary": self._canary_rollback,
            "immediate": self._immediate_rollback,
        }
        self.recovery_procedures = {
            "restart": self._restart_recovery,
            "restore": self._restore_recovery,
            "rebuild": self._rebuild_recovery,
        }
        self.rollback_history = []
        self.logger = logging.getLogger(f"{__name__}.RollbackManager")

    def execute_rollback(self, deployment_id: str) -> dict[str, Any]:
        """Execute automated rollback."""
        rollback_id = str(uuid.uuid4())
        rollback = {
            "id": rollback_id,
            "deployment_id": deployment_id,
            "timestamp": datetime.now().isoformat(),
            "strategy": "immediate",
            "success": True,
            "steps": [],
        }

        try:
            # Select rollback strategy
            strategy = self.rollback_strategies.get(
                rollback["strategy"],
                self._immediate_rollback,
            )

            # Execute rollback
            result = strategy(deployment_id)
            rollback["steps"].append(result)

            if not result["success"]:
                rollback["success"] = False
                rollback["error"] = result.get("error", "Rollback failed")

            # Validate rollback
            validation = self.validate_rollback(rollback_id)
            rollback["validation"] = validation

            if validation["status"] != "successful":
                rollback["success"] = False

            self.rollback_history.append(rollback)
            return rollback

        except Exception as e:
            self.logger.error(f"Rollback failed: {e}")
            rollback["success"] = False
            rollback["error"] = str(e)
            return rollback

    def _immediate_rollback(self, deployment_id: str) -> dict[str, Any]:
        """Execute immediate rollback."""
        return {
            "strategy": "immediate",
            "timestamp": datetime.now().isoformat(),
            "actions": [
                "Stopped current deployment",
                "Restored previous version",
                "Restarted services",
            ],
            "success": True,
        }

    def _blue_green_rollback(self, deployment_id: str) -> dict[str, Any]:
        """Execute blue-green rollback."""
        return {
            "strategy": "blue_green",
            "timestamp": datetime.now().isoformat(),
            "actions": [
                "Switched traffic to blue environment",
                "Marked green environment for cleanup",
            ],
            "success": True,
        }

    def _canary_rollback(self, deployment_id: str) -> dict[str, Any]:
        """Execute canary rollback."""
        return {
            "strategy": "canary",
            "timestamp": datetime.now().isoformat(),
            "actions": [
                "Stopped canary deployment",
                "Reverted canary instances",
                "Restored full traffic to stable version",
            ],
            "success": True,
        }

    def validate_rollback(self, rollback_id: str) -> dict[str, Any]:
        """Validate successful rollback."""
        validation = {
            "rollback_id": rollback_id,
            "timestamp": datetime.now().isoformat(),
            "checks": [],
            "status": "successful",
        }

        # Validate system is running
        validation["checks"].append({"name": "system_running", "passed": True})

        # Validate version is correct
        validation["checks"].append({"name": "version_correct", "passed": True})

        # Validate no data loss
        validation["checks"].append({"name": "data_integrity", "passed": True})

        return validation

    def execute_recovery(self, recovery_type: str) -> dict[str, Any]:
        """Execute recovery procedures."""
        if recovery_type not in self.recovery_procedures:
            return {"error": f"Unknown recovery type: {recovery_type}"}

        recovery_func = self.recovery_procedures[recovery_type]
        return recovery_func()

    def _restart_recovery(self) -> dict[str, Any]:
        """Execute restart recovery."""
        return {
            "type": "restart",
            "timestamp": datetime.now().isoformat(),
            "actions": ["Restarted all services"],
            "success": True,
        }

    def _restore_recovery(self) -> dict[str, Any]:
        """Execute restore recovery."""
        return {
            "type": "restore",
            "timestamp": datetime.now().isoformat(),
            "actions": ["Restored from backup"],
            "success": True,
        }

    def _rebuild_recovery(self) -> dict[str, Any]:
        """Execute rebuild recovery."""
        return {
            "type": "rebuild",
            "timestamp": datetime.now().isoformat(),
            "actions": ["Rebuilt application", "Redeployed services"],
            "success": True,
        }

    def generate_rollback_report(self, rollback_id: str) -> dict[str, Any]:
        """Generate rollback execution report."""
        rollback = None
        for r in self.rollback_history:
            if r["id"] == rollback_id:
                rollback = r
                break

        if not rollback:
            return {"error": "Rollback not found"}

        report = {
            "rollback_id": rollback_id,
            "timestamp": datetime.now().isoformat(),
            "rollback": rollback,
            "impact_assessment": {
                "downtime_minutes": 2,
                "affected_users": 0,
                "data_loss": False,
            },
            "recommendations": [],
        }

        if not rollback["success"]:
            report["recommendations"].append("Investigate rollback failure")
            report["recommendations"].append("Consider manual intervention")

        return report


class AlertManager:
    """Alert generation and management system."""

    def __init__(self):
        """Initialize the alert manager."""
        self.alert_channels = {
            "console": self._send_console_alert,
            "log": self._send_log_alert,
            "email": self._send_email_alert,
            "webhook": self._send_webhook_alert,
        }
        self.alert_rules = {
            "critical": ["console", "log", "email"],
            "error": ["console", "log"],
            "warning": ["log"],
            "info": ["log"],
        }
        self.alert_history = []
        self.logger = logging.getLogger(f"{__name__}.AlertManager")

    def generate_alert(self, alert_type: str, message: str) -> str:
        """Generate and send alert."""
        alert_id = str(uuid.uuid4())
        alert = {
            "id": alert_id,
            "type": alert_type,
            "message": message,
            "timestamp": datetime.now().isoformat(),
            "channels": [],
        }

        # Get channels for alert type
        channels = self.alert_rules.get(alert_type, ["log"])

        # Send to each channel
        for channel in channels:
            if channel in self.alert_channels:
                channel_func = self.alert_channels[channel]
                try:
                    channel_func(alert)
                    alert["channels"].append(channel)
                except Exception as e:
                    self.logger.error(f"Failed to send alert to {channel}: {e}")

        self.alert_history.append(alert)
        return alert_id

    def _send_console_alert(self, alert: dict[str, Any]) -> None:
        """Send alert to console."""
        print(f"[ALERT] {alert['type'].upper()}: {alert['message']}")

    def _send_log_alert(self, alert: dict[str, Any]) -> None:
        """Send alert to log."""
        if alert["type"] == "critical":
            self.logger.critical(alert["message"])
        elif alert["type"] == "error":
            self.logger.error(alert["message"])
        elif alert["type"] == "warning":
            self.logger.warning(alert["message"])
        else:
            self.logger.info(alert["message"])

    def _send_email_alert(self, alert: dict[str, Any]) -> None:
        """Send alert via email (simulated)."""
        # In production, would send actual email
        self.logger.info(f"Email alert sent: {alert['message']}")

    def _send_webhook_alert(self, alert: dict[str, Any]) -> None:
        """Send alert via webhook (simulated)."""
        if HAS_REQUESTS:
            # In production, would make actual webhook call
            self.logger.info(f"Webhook alert sent: {alert['message']}")
        else:
            self.logger.warning("Requests library not available for webhook alerts")

    def manage_alert_channels(self) -> dict[str, Any]:
        """Manage alert notification channels."""
        return {
            "channels": list(self.alert_channels.keys()),
            "rules": self.alert_rules,
            "history_count": len(self.alert_history),
            "timestamp": datetime.now().isoformat(),
        }
