"""
Metrics middleware for aiogram 3.x.
Automatically collects metrics for message processing, command execution, and errors.
"""

from typing import Any, Awaitable, Callable, Dict, Union, Optional
from aiogram import BaseMiddleware
from aiogram.types import TelegramObject, Message, CallbackQuery
from aiogram.enums import ChatType
import time
import logging
from ..utils.metrics import metrics

# Import button command mapping
try:
    from ..handlers.private.constants import BUTTON_COMMAND_MAPPING
    from ..handlers.callback.constants import CALLBACK_COMMAND_MAPPING
    from ..handlers.admin.constants import ADMIN_BUTTON_COMMAND_MAPPING, ADMIN_COMMANDS
    from ..handlers.voice.constants import (
        BUTTON_COMMAND_MAPPING as VOICE_BUTTON_COMMAND_MAPPING, 
        COMMAND_MAPPING as VOICE_COMMAND_MAPPING,
        CALLBACK_COMMAND_MAPPING as VOICE_CALLBACK_COMMAND_MAPPING
    )
except ImportError:
    # Fallback if constants not available
    BUTTON_COMMAND_MAPPING = {}
    CALLBACK_COMMAND_MAPPING = {}
    ADMIN_BUTTON_COMMAND_MAPPING = {}
    ADMIN_COMMANDS = {}
    VOICE_BUTTON_COMMAND_MAPPING = {}
    VOICE_COMMAND_MAPPING = {}
    VOICE_CALLBACK_COMMAND_MAPPING = {}


class MetricsMiddleware(BaseMiddleware):
    """Middleware for automatic metrics collection in aiogram handlers."""
    
    def __init__(self):
        super().__init__()
        self.logger = logging.getLogger(__name__)
    
    async def __call__(
        self,
        handler: Callable[[TelegramObject, Dict[str, Any]], Awaitable[Any]],
        event: TelegramObject,
        data: Dict[str, Any]
    ) -> Any:
        """Process event and collect metrics."""
        
        # Extract command info before execution
        command_info = None
        if isinstance(event, Message):
            self.logger.debug(f"📊 Processing Message event")
            await self._record_message_metrics(event)
            command_info = self._extract_command_info(event)
        elif isinstance(event, CallbackQuery):
            self.logger.debug(f"📊 Processing CallbackQuery event")
            await self._record_callback_metrics(event)
            command_info = self._extract_callback_command_info(event)
        else:
            self.logger.debug(f"📊 Processing unknown event type: {type(event).__name__}")
        
        # Execute handler with timing
        start_time = time.time()
        try:
            result = await handler(event, data)
            duration = time.time() - start_time
            
            # Record successful execution
            handler_name = self._get_handler_name(handler)
            self.logger.debug(f"📊 Recording successful execution: {handler_name}")
            metrics.record_method_duration(
                handler_name,
                duration,
                "handler",
                "success"
            )
            
            # Record command with success status if applicable
            if command_info:
                metrics.record_command(
                    command_info['command'],
                    command_info['handler_type'],
                    command_info['user_type'],
                    "success"
                )
            
            return result
            
        except Exception as e:
            duration = time.time() - start_time
            
            # Record error and timing
            handler_name = self._get_handler_name(handler)
            self.logger.debug(f"📊 Recording error execution: {handler_name}, error: {type(e).__name__}")
            metrics.record_method_duration(
                handler_name,
                duration,
                "handler",
                "error"
            )
            metrics.record_error(
                type(e).__name__,
                "handler",
                handler_name
            )
            
            # Record command with error status if applicable
            if command_info:
                metrics.record_command(
                    command_info['command'],
                    command_info['handler_type'],
                    command_info['user_type'],
                    "error"
                )
            
            raise
    
    def _get_handler_name(self, handler: Callable) -> str:
        """Extract handler name efficiently."""
        # Проверяем различные способы получения имени хендлера
        if hasattr(handler, '__name__') and handler.__name__ != '<lambda>':
            return handler.__name__
        elif hasattr(handler, '__qualname__') and handler.__qualname__ != '<lambda>':
            return handler.__qualname__
        elif hasattr(handler, 'callback') and hasattr(handler.callback, '__name__'):
            return handler.callback.__name__
        elif hasattr(handler, 'view') and hasattr(handler.view, '__name__'):
            return handler.view.__name__
        else:
            # Пытаемся получить имя из строкового представления
            handler_str = str(handler)
            if 'function' in handler_str:
                # Извлекаем имя функции из строки
                import re
                match = re.search(r'function\s+(\w+)', handler_str)
                if match:
                    return match.group(1)
            return "unknown"
    
    async def _record_message_metrics(self, message: Message):
        """Record message metrics efficiently."""
        # Determine message type
        message_type = "text"
        if message.photo:
            message_type = "photo"
        elif message.video:
            message_type = "video"
        elif message.audio:
            message_type = "audio"
        elif message.document:
            message_type = "document"
        elif message.voice:
            message_type = "voice"
        elif message.sticker:
            message_type = "sticker"
        elif message.animation:
            message_type = "animation"
        
        # Determine chat type
        chat_type = "private"
        if message.chat.type == ChatType.GROUP:
            chat_type = "group"
        elif message.chat.type == ChatType.SUPERGROUP:
            chat_type = "supergroup"
        elif message.chat.type == ChatType.CHANNEL:
            chat_type = "channel"
        
        # Record message processing
        metrics.record_message(message_type, chat_type, "message_handler")
    
    async def _record_callback_metrics(self, callback: CallbackQuery):
        """Record callback metrics efficiently."""
        metrics.record_message("callback_query", "callback", "callback_handler")
    
    def _extract_command_info(self, message: Message) -> Optional[Dict[str, str]]:
        """Extract command information from message (commands or button clicks)."""
        if not message.text:
            return None
        
        # Check if it's a slash command
        if message.text.startswith('/'):
            command_name = message.text.split()[0][1:]  # Remove '/' and get command name
            # Check if it's an admin command
            if command_name in ADMIN_COMMANDS:
                return {
                    'command': ADMIN_COMMANDS[command_name],
                    'user_type': "admin" if message.from_user else "unknown",
                    'handler_type': "admin_handler"
                }
            # Check if it's a voice bot command
            elif command_name in VOICE_COMMAND_MAPPING:
                return {
                    'command': VOICE_COMMAND_MAPPING[command_name],
                    'user_type': "user" if message.from_user else "unknown",
                    'handler_type': "voice_command_handler"
                }
            else:
                return {
                    'command': command_name,
                    'user_type': "user" if message.from_user else "unknown",
                    'handler_type': "message_handler"
                }
        
        # Check if it's an admin button click
        if message.text in ADMIN_BUTTON_COMMAND_MAPPING:
            return {
                'command': ADMIN_BUTTON_COMMAND_MAPPING[message.text],
                'user_type': "admin" if message.from_user else "unknown",
                'handler_type': "admin_button_handler"
            }
        
        # Check if it's a regular button click (text button)
        if message.text in BUTTON_COMMAND_MAPPING:
            return {
                'command': BUTTON_COMMAND_MAPPING[message.text],
                'user_type': "user" if message.from_user else "unknown",
                'handler_type': "button_handler"
            }
        
        # Check if it's a voice bot button click
        if message.text in VOICE_BUTTON_COMMAND_MAPPING:
            return {
                'command': VOICE_BUTTON_COMMAND_MAPPING[message.text],
                'user_type': "user" if message.from_user else "unknown",
                'handler_type': "voice_button_handler"
            }
        
        return None
    
    def _extract_callback_command_info(self, callback: CallbackQuery) -> Optional[Dict[str, str]]:
        """Extract command information from callback query."""
        if not callback.data:
            return None
        
        # Extract command from callback data
        parts = callback.data.split(':', 1)
        if parts and parts[0] in CALLBACK_COMMAND_MAPPING:
            return {
                'command': CALLBACK_COMMAND_MAPPING[parts[0]],
                'user_type': "user" if callback.from_user else "unknown",
                'handler_type': "callback_handler"
            }
        
        # Check if it's a voice bot callback
        if parts and parts[0] in VOICE_CALLBACK_COMMAND_MAPPING:
            return {
                'command': VOICE_CALLBACK_COMMAND_MAPPING[parts[0]],
                'user_type': "user" if callback.from_user else "unknown",
                'handler_type': "voice_callback_handler"
            }
        
        return None


class DatabaseMetricsMiddleware(BaseMiddleware):
    """Middleware for database operation metrics."""
    
    async def __call__(
        self,
        handler: Callable[[TelegramObject, Dict[str, Any]], Awaitable[Any]],
        event: TelegramObject,
        data: Dict[str, Any]
    ) -> Any:
        """Process event and collect database metrics."""
        
        # Check if this handler involves database operations
        handler_name = handler.__name__ if hasattr(handler, '__name__') else "unknown"
        
        # You can add specific database operation detection logic here
        # For now, we'll just pass through and let individual decorators handle it
        
        return await handler(event, data)


class ErrorMetricsMiddleware(BaseMiddleware):
    """Middleware for error tracking and metrics."""
    
    async def __call__(
        self,
        handler: Callable[[TelegramObject, Dict[str, Any]], Awaitable[Any]],
        event: TelegramObject,
        data: Dict[str, Any]
    ) -> Any:
        """Process event and collect error metrics."""
        
        try:
            return await handler(event, data)
        except Exception as e:
            # Record error metrics
            handler_name = handler.__name__ if hasattr(handler, '__name__') else "unknown"
            metrics.record_error(
                type(e).__name__,
                "handler",
                handler_name
            )
            raise