"""Example telemetry providers."""

from __future__ import annotations

import logging
from typing import Any, Dict

from secure_mcp_gateway.plugins.telemetry.base import (
    TelemetryLevel,
    TelemetryProvider,
    TelemetryResult,
)
from secure_mcp_gateway.utils import logger

# ============================================================================
# Console Provider (Simple Logging)
# ============================================================================


class ConsoleTelemetryProvider(TelemetryProvider):
    """
    Simple console-based telemetry provider.

    Logs everything to console using Python's logging module.
    Useful for development and debugging.
    """

    def __init__(self):
        self._logger = None
        self._initialized = False

    @property
    def name(self) -> str:
        return "console"

    @property
    def version(self) -> str:
        return "1.0.0"

    def initialize(self, config: dict[str, Any]) -> TelemetryResult:
        """Initialize console logging"""
        try:
            log_level = config.get("level", "INFO")

            # Create logger
            self._logger = logging.getLogger("enkrypt-console")
            self._logger.setLevel(getattr(logging, log_level.upper()))

            # Add console handler if not exists
            if not self._logger.handlers:
                handler = logging.StreamHandler()
                formatter = logging.Formatter(
                    "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
                )
                handler.setFormatter(formatter)
                self._logger.addHandler(handler)

            self._initialized = True

            return TelemetryResult(
                success=True,
                provider_name=self.name,
                message="Console telemetry initialized",
            )
        except Exception as e:
            return TelemetryResult(
                success=False,
                provider_name=self.name,
                error=str(e),
            )

    def create_logger(self, name: str) -> Any:
        """Return the logger"""
        return self._logger

    def create_tracer(self, name: str) -> Any:
        """Console provider doesn't support tracing"""
        return None


# ============================================================================
# Datadog Provider (Stub)
# ============================================================================


class DatadogTelemetryProvider(TelemetryProvider):
    """
    Datadog telemetry provider.

    This is a stub implementation showing how to integrate with Datadog.
    To use: pip install ddtrace
    """

    def __init__(self, api_key: str, app_key: str | None = None):
        self.api_key = api_key
        self.app_key = app_key
        self._logger = None
        self._tracer = None
        self._initialized = False

    @property
    def name(self) -> str:
        return "datadog"

    @property
    def version(self) -> str:
        return "1.0.0"

    def initialize(self, config: dict[str, Any]) -> TelemetryResult:
        """
        Initialize Datadog integration.

        Config:
            - api_key: Datadog API key
            - app_key: Datadog application key (optional)
            - service_name: Service name
            - environment: Environment (prod, staging, dev)
        """
        try:
            logger.info(f"[{self.name}] Initializing Datadog provider...")

            # Import Datadog tracer
            try:
                from ddtrace import patch_all, tracer

                # Patch all supported libraries
                patch_all()

                # Configure tracer
                tracer.configure(
                    hostname=config.get("hostname", "localhost"),
                    port=config.get("port", 8126),
                )

                self._tracer = tracer
                self._initialized = True

                logger.info(f"[{self.name}] ✓ Datadog initialized")

                return TelemetryResult(
                    success=True,
                    provider_name=self.name,
                    message="Datadog initialized successfully",
                )
            except ImportError:
                return TelemetryResult(
                    success=False,
                    provider_name=self.name,
                    error="ddtrace not installed. Run: pip install ddtrace",
                )

        except Exception as e:
            logger.error(f"[{self.name}] ✗ Failed: {e}")
            return TelemetryResult(
                success=False,
                provider_name=self.name,
                error=str(e),
            )

    def create_logger(self, name: str) -> Any:
        """Create Datadog logger"""
        import logging

        return logging.getLogger(name)

    def create_tracer(self, name: str) -> Any:
        """Return Datadog tracer"""
        return self._tracer


# ============================================================================
# New Relic Provider (Stub)
# ============================================================================


class NewRelicTelemetryProvider(TelemetryProvider):
    """
    New Relic telemetry provider.

    This is a stub implementation showing how to integrate with New Relic.
    To use: pip install newrelic
    """

    def __init__(self, license_key: str):
        self.license_key = license_key
        self._initialized = False

    @property
    def name(self) -> str:
        return "newrelic"

    @property
    def version(self) -> str:
        return "1.0.0"

    def initialize(self, config: dict[str, Any]) -> TelemetryResult:
        """
        Initialize New Relic integration.

        Config:
            - license_key: New Relic license key
            - app_name: Application name
            - environment: Environment
        """
        try:
            logger.info(f"[{self.name}] Initializing New Relic provider...")

            try:
                import newrelic.agent

                # Initialize New Relic
                newrelic.agent.initialize(
                    config_file=config.get("config_file"),
                    environment=config.get("environment", "production"),
                )

                self._initialized = True

                logger.info(f"[{self.name}] ✓ New Relic initialized")

                return TelemetryResult(
                    success=True,
                    provider_name=self.name,
                    message="New Relic initialized successfully",
                )
            except ImportError:
                return TelemetryResult(
                    success=False,
                    provider_name=self.name,
                    error="newrelic not installed. Run: pip install newrelic",
                )

        except Exception as e:
            logger.error(f"[{self.name}] ✗ Failed: {e}")
            return TelemetryResult(
                success=False,
                provider_name=self.name,
                error=str(e),
            )

    def create_logger(self, name: str) -> Any:
        """Create logger"""
        import logging

        return logging.getLogger(name)

    def create_tracer(self, name: str) -> Any:
        """New Relic uses decorators, not explicit tracers"""
        return None


# ============================================================================
# Prometheus Provider (Stub)
# ============================================================================


class PrometheusTelemetryProvider(TelemetryProvider):
    """
    Prometheus telemetry provider.

    This is a stub implementation showing how to integrate with Prometheus.
    To use: pip install prometheus-client
    """

    def __init__(self, port: int = 8000):
        self.port = port
        self._initialized = False

    @property
    def name(self) -> str:
        return "prometheus"

    @property
    def version(self) -> str:
        return "1.0.0"

    def initialize(self, config: dict[str, Any]) -> TelemetryResult:
        """
        Initialize Prometheus metrics.

        Config:
            - port: Port for metrics endpoint
            - namespace: Metrics namespace
        """
        try:
            logger.info(f"[{self.name}] Initializing Prometheus provider...")

            try:
                from prometheus_client import start_http_server

                # Start metrics server
                start_http_server(self.port)

                self._initialized = True

                logger.info(f"[{self.name}] ✓ Prometheus metrics on port {self.port}")

                return TelemetryResult(
                    success=True,
                    provider_name=self.name,
                    message=f"Prometheus initialized on port {self.port}",
                )
            except ImportError:
                return TelemetryResult(
                    success=False,
                    provider_name=self.name,
                    error="prometheus-client not installed. Run: pip install prometheus-client",
                )

        except Exception as e:
            logger.error(f"[{self.name}] ✗ Failed: {e}")
            return TelemetryResult(
                success=False,
                provider_name=self.name,
                error=str(e),
            )

    def create_logger(self, name: str) -> Any:
        """Create logger"""
        import logging

        return logging.getLogger(name)

    def create_tracer(self, name: str) -> Any:
        """Prometheus doesn't use tracers"""
        return None


# ============================================================================
# Custom Provider Template
# ============================================================================


class CustomTelemetryProvider(TelemetryProvider):
    """
    Template for creating custom telemetry providers.

    Copy this class and implement the required methods for your telemetry backend.
    """

    def __init__(self, **kwargs):
        """Initialize with custom configuration"""
        self._config = kwargs
        self._initialized = False
        self._logger = None
        self._tracer = None

    @property
    def name(self) -> str:
        """Return your provider name"""
        return "custom"

    @property
    def version(self) -> str:
        """Return your provider version"""
        return "1.0.0"

    def initialize(self, config: dict[str, Any]) -> TelemetryResult:
        """
        Initialize your telemetry backend.

        Implement your initialization logic here:
        1. Connect to your telemetry service
        2. Configure authentication
        3. Set up logging/tracing/metrics
        4. Return TelemetryResult
        """
        try:
            logger.info(f"[{self.name}] Initializing custom provider...")

            # TODO: Implement your initialization logic

            self._initialized = True

            logger.info(f"[{self.name}] ✓ Custom provider initialized")

            return TelemetryResult(
                success=True,
                provider_name=self.name,
                message="Custom provider initialized",
            )

        except Exception as e:
            logger.error(f"[{self.name}] ✗ Failed: {e}")
            return TelemetryResult(
                success=False,
                provider_name=self.name,
                error=str(e),
            )

    def create_logger(self, name: str) -> Any:
        """
        Create and return a logger instance.

        This should return an object compatible with Python's logging interface.
        """
        # TODO: Implement logger creation
        import logging

        return logging.getLogger(name)

    def create_tracer(self, name: str) -> Any:
        """
        Create and return a tracer instance.

        This should return an object compatible with OpenTelemetry's tracer interface.
        """
        # TODO: Implement tracer creation
        return None


__all__ = [
    "ConsoleTelemetryProvider",
    "DatadogTelemetryProvider",
    "NewRelicTelemetryProvider",
    "PrometheusTelemetryProvider",
    "CustomTelemetryProvider",
]
