import logging
import importlib
import pkgutil
import inspect
from typing import Dict, Any, List, Optional
from modules.interfaces.interfaceAppModel import User, UserConnection
from modules.interfaces.interfaceChatModel import (
    TaskStatus, ChatDocument, TaskItem, TaskAction, TaskResult, 
    ChatStat, ChatLog, ChatMessage, ChatWorkflow
)
from modules.interfaces.interfaceAiCalls import AiCalls
from modules.interfaces.interfaceChatObjects import getInterface as getChatObjects
from modules.interfaces.interfaceChatModel import ActionResult
from modules.interfaces.interfaceComponentObjects import getInterface as getComponentObjects
from modules.interfaces.interfaceAppObjects import getInterface as getAppObjects
from modules.workflow.managerDocument import DocumentManager
from modules.workflow.methodBase import MethodBase
import uuid
import base64

logger = logging.getLogger(__name__)

class ServiceContainer:
    """Service container that provides access to all services and their functions"""
    
    def __init__(self, currentUser: User, workflow: ChatWorkflow):
        # Core services
        self.user = currentUser
        self.workflow = workflow
        self.tasks = workflow.tasks
        self.statusEnums = TaskStatus
        self.currentTask = None  # Initialize current task as None
        
        # Initialize managers
        self.interfaceChat = getChatObjects(currentUser)
        self.interfaceComponent = getComponentObjects(currentUser)
        self.interfaceApp = getAppObjects(currentUser)
        self.interfaceAiCalls = AiCalls()
        self.documentManager = DocumentManager(self)
        
        # Initialize methods catalog
        self.methods = {}
        # Discover additional methods
        self._discoverMethods()
        
    def _discoverMethods(self):
        """Dynamically discover all method classes and their actions in modules.methods package"""
        try:
            # Import the methods package
            methodsPackage = importlib.import_module('modules.methods')
            
            # Discover all modules in the package
            for _, name, isPkg in pkgutil.iter_modules(methodsPackage.__path__):
                if not isPkg and name.startswith('method'):
                    try:
                        # Import the module
                        module = importlib.import_module(f'modules.methods.{name}')
                        
                        # Find all classes in the module that inherit from MethodBase
                        for itemName, item in inspect.getmembers(module):
                            if (inspect.isclass(item) and 
                                issubclass(item, MethodBase) and 
                                item != MethodBase):
                                # Instantiate the method
                                methodInstance = item(self)
                                
                                # Discover actions from public methods
                                actions = {}
                                for methodName, method in inspect.getmembers(type(methodInstance), predicate=inspect.iscoroutinefunction):
                                    if not methodName.startswith('_') and methodName not in ['execute', 'validateParameters']:
                                        # Bind the method to the instance
                                        bound_method = method.__get__(methodInstance, type(methodInstance))
                                        sig = inspect.signature(method)
                                        params = {}
                                        for paramName, param in sig.parameters.items():
                                            if paramName not in ['self', 'authData']:
                                                # Get parameter type
                                                paramType = param.annotation if param.annotation != param.empty else Any
                                                
                                                # Get parameter description from docstring or default
                                                paramDesc = None
                                                if param.default != param.empty and hasattr(param.default, '__doc__'):
                                                    paramDesc = param.default.__doc__
                                                
                                                params[paramName] = {
                                                    'type': paramType,
                                                    'required': param.default == param.empty,
                                                    'description': paramDesc,
                                                    'default': param.default if param.default != param.empty else None
                                                }
                                        
                                        actions[methodName] = {
                                            'description': method.__doc__ or '',
                                            'parameters': params,
                                            'method': bound_method
                                        }
                                
                                # Add method instance with discovered actions
                                self.methods[methodInstance.name] = {
                                    'instance': methodInstance,
                                    'description': methodInstance.description,
                                    'actions': actions
                                }
                                logger.info(f"Discovered method: {methodInstance.name} with {len(actions)} actions")
                                
                    except Exception as e:
                        logger.error(f"Error loading method module {name}: {str(e)}", exc_info=True)
                        
        except Exception as e:
            logger.error(f"Error discovering methods: {str(e)}")

    # ===== Functions =====
    
    def extractContent(self, prompt: str, document: ChatDocument) -> str:
        """Extract content from document using prompt"""
        return self.documentManager.extractContentFromDocument(prompt, document)
    
    def extractContentFromFileData(self, prompt: str, fileData: bytes, filename: str, mimeType: str, base64Encoded: bool = False) -> str:
        """Extract content from file data directly using prompt"""
        return self.documentManager.extractContentFromFileData(prompt, fileData, filename, mimeType, base64Encoded)
    
    def getMethodsCatalog(self) -> Dict[str, Any]:
        """Get catalog of available methods and their actions"""
        catalog = {}
        for methodName, method in self.methods.items():
            catalog[methodName] = {
                'description': method['description'],
                'actions': {
                    actionName: {
                        'description': action['description'],
                        'parameters': action['parameters']
                    }
                    for actionName, action in method['actions'].items()
                }
            }
        return catalog
    
    def getMethodsList(self) -> List[str]:
        """Get list of available methods with their signatures in the required format"""
        methodList = []
        for methodName, method in self.methods.items():
            methodInstance = method['instance']
            for actionName, action in method['actions'].items():
                # Use the new signature format from MethodBase
                signature = methodInstance.getActionSignature(actionName)
                if signature:
                    methodList.append(signature)
        return methodList
    
    def getDocumentReferenceList(self) -> Dict[str, List[Dict[str, str]]]:
        """Get list of document references sorted by datetime, categorized by chat round"""
        chat_refs = []
        history_refs = []
        
        # Process messages in reverse order to find current chat round
        for message in reversed(self.workflow.messages):
            # Get document references from message
            if message.documents:
                # For messages with action context, use documentList reference
                if message.actionId and message.documentsLabel:
                    doc_ref = self.getDocumentReferenceFromMessage(message)
                    if doc_ref:
                        doc_info = {
                            "documentReference": doc_ref,
                            "datetime": message.publishedAt,
                            "actionMethod": message.actionMethod,
                            "actionName": message.actionName,
                            "documentCount": len(message.documents)
                        }
                        
                        # Add to appropriate list based on message status
                        if message.status == "first":
                            chat_refs.append(doc_info)
                            break  # Stop after finding first message
                        elif message.status == "step":
                            chat_refs.append(doc_info)
                        else:
                            history_refs.append(doc_info)
                # For regular messages, use individual document references
                else:
                    for doc in message.documents:
                        doc_ref = self.getDocumentReferenceFromChatDocument(doc)
                        doc_info = {
                            "documentReference": doc_ref,
                            "datetime": message.publishedAt,
                            "actionMethod": None,
                            "actionName": None,
                            "documentCount": 1
                        }
                        
                        # Add to appropriate list based on message status
                        if message.status == "first":
                            chat_refs.append(doc_info)
                            break  # Stop after finding first message
                        elif message.status == "step":
                            chat_refs.append(doc_info)
                        else:
                            history_refs.append(doc_info)
            
            # Stop processing if we hit a first message
            if message.status == "first":
                break
        
        # Sort both lists by datetime in descending order
        chat_refs.sort(key=lambda x: x["datetime"], reverse=True)
        history_refs.sort(key=lambda x: x["datetime"], reverse=True)
        
        return {
            "chat": chat_refs,
            "history": history_refs
        }
    
    def getDocumentReferenceFromChatDocument(self, document: ChatDocument) -> str:
        """Get document reference from ChatDocument"""
        return f"document_{document.id}_{document.filename}"
    
    def getDocumentReferenceFromMessage(self, message: ChatMessage) -> str:
        """Get document reference from ChatMessage with action context"""
        if not message.actionId or not message.documentsLabel:
            return None
            
        # If documentsLabel already contains the full reference format, return it
        if message.documentsLabel.startswith("documentList_"):
            return message.documentsLabel
            
        # Otherwise construct the reference
        return f"documentList_{message.actionId}_{message.documentsLabel}"
    
    def getChatDocumentsFromDocumentReference(self, documentReference: str) -> List[ChatDocument]:
        """Get ChatDocuments from document reference"""
        try:
            # Parse reference format
            parts = documentReference.split('_', 2)  # Split into max 3 parts
            if len(parts) < 3:
                return []
                
            ref_type = parts[0]
            ref_id = parts[1]
            ref_label = parts[2]  # Keep the full label
            
            if ref_type == "document":
                # Handle ChatDocument reference: document_<id>_<filename>
                # Find document in workflow messages
                for message in self.workflow.messages:
                    if message.documents:
                        for doc in message.documents:
                            if doc.id == ref_id:
                                return [doc]
                                
            elif ref_type == "documentList":
                # Handle document list reference: documentList_<action.id>_<label>
                # Find message with matching action ID and documents label
                for message in self.workflow.messages:
                    if (message.actionId == ref_id and 
                        message.documentsLabel == documentReference and  # Compare full reference
                        message.documents):
                        return message.documents
                            
            return []
            
        except Exception as e:
            logger.error(f"Error getting documents from reference {documentReference}: {str(e)}")
            return []
    
    def getConnectionReferenceList(self) -> List[Dict[str, str]]:
        """Get list of all UserConnection objects as references"""
        connections = []
        # Get user connections through AppObjects interface
        user_connections = self.interfaceApp.getUserConnections(self.user.id)
        for conn in user_connections:
            connections.append({
                "connectionReference": f"connection_{conn.id}_{conn.authority}_{conn.externalUsername}",
                "authority": conn.authority
            })
        # Sort by authority
        return sorted(connections, key=lambda x: x["authority"])
    
    def getConnectionReferenceFromUserConnection(self, connection: UserConnection) -> str:
        """Get connection reference from UserConnection"""
        return f"connection_{connection.id}_{connection.authority}_{connection.externalUsername}"
    
    def getUserConnectionFromConnectionReference(self, connectionReference: str) -> Optional[UserConnection]:
        """Get UserConnection from reference string"""
        try:
            # Parse reference format: connection_{id}_{authority}_{username}
            parts = connectionReference.split('_')
            if len(parts) != 4 or parts[0] != "connection":
                return None
            
            conn_id = parts[1]
            authority = parts[2]
            username = parts[3]
            
            # Get user connections through AppObjects interface
            user_connections = self.interfaceApp.getUserConnections(self.user.id)
            
            # Find matching connection
            for conn in user_connections:
                if str(conn.id) == conn_id and conn.authority == authority and conn.externalUsername == username:
                    return conn
            return None
            
        except Exception as e:
            logger.error(f"Error parsing connection reference: {str(e)}")
            return None

    async def summarizeChat(self, messages: List[ChatMessage]) -> str:
        """
        Summarize chat messages from last to first message with status="first"
        
        Args:
            messages: List of chat messages to summarize
            
        Returns:
            str: Summary of the chat in user's language
        """
        try:
            # Get messages from last to first, stopping at first message with status="first"
            relevantMessages = []
            for msg in reversed(messages):
                relevantMessages.append(msg)
                if msg.status == "first":
                    break
            
            # Create prompt for AI
            prompt = f"""You are an AI assistant providing a summary of a chat conversation.
Please respond in '{self.user.language}' language.

Chat History:
{chr(10).join(f"- {msg.message}" for msg in reversed(relevantMessages))}

Instructions:
1. Summarize the conversation's key points and outcomes
2. Be concise but informative
3. Use a professional but friendly tone
4. Focus on important decisions and next steps if any

Please provide a comprehensive summary of this conversation."""
            
            # Get summary using AI
            return await self.interfaceAiCalls.callAiTextBasic(prompt)
            
        except Exception as e:
            logger.error(f"Error summarizing chat: {str(e)}")
            return f"Error summarizing chat: {str(e)}"

    async def summarizeMessage(self, message: ChatMessage) -> str:
        """
        Summarize a single chat message
        
        Args:
            message: Chat message to summarize
            
        Returns:
            str: Summary of the message in user's language
        """
        try:
            # Create prompt for AI
            prompt = f"""You are an AI assistant providing a summary of a chat message.
Please respond in '{self.user.language}' language.

Message:
{message.message}

Instructions:
1. Summarize the key points of this message
2. Be concise but informative
3. Use a professional but friendly tone
4. Focus on important information and any actions needed

Please provide a clear summary of this message."""
            
            # Get summary using AI
            return await self.interfaceAiCalls.callAiTextBasic(prompt)
            
        except Exception as e:
            logger.error(f"Error summarizing message: {str(e)}")
            return f"Error summarizing message: {str(e)}"

    def callAiTextBasic(self, prompt: str, context: str = None) -> str:
        """Basic text processing using OpenAI"""
        return self.interfaceAiCalls.callAiTextBasic(prompt, context)

    def callAiTextAdvanced(self, prompt: str, context: str = None) -> str:
        """Advanced text processing using Anthropic"""
        return self.interfaceAiCalls.callAiTextAdvanced(prompt, context)

    def callAiImageBasic(self, prompt: str, imageData: bytes, mimeType: str) -> str:
        """Basic image processing using OpenAI"""
        return self.interfaceAiCalls.callAiImageBasic(prompt, imageData, mimeType)

    def callAiImageAdvanced(self, prompt: str, imageData: bytes, mimeType: str) -> str:
        """Advanced image processing using Anthropic"""
        return self.interfaceAiCalls.callAiImageAdvanced(prompt, imageData, mimeType)

    def getFileInfo(self, fileId: str) -> Dict[str, Any]:
        """Get file information"""
        file_item = self.interfaceComponent.getFile(fileId)
        if file_item:
            return {
                "id": file_item.id,
                "filename": file_item.filename,
                "size": file_item.fileSize,
                "mimeType": file_item.mimeType,
                "fileHash": file_item.fileHash,
                "creationDate": file_item.creationDate
            }
        return None

    def getFileData(self, fileId: str) -> bytes:
        """Get file data by ID"""
        return self.interfaceComponent.getFileData(fileId)
    
    def createFile(self, fileName: str, mimeType: str, content: str, base64encoded: bool = False) -> str:
        """Create new file and return its ID"""
        # Convert content to bytes based on base64 flag
        if base64encoded:
            content_bytes = base64.b64decode(content)
        else:
            content_bytes = content.encode('utf-8')
            
        # First create the file metadata
        file_item = self.interfaceComponent.createFile(
            name=fileName,
            mimeType=mimeType,
            size=len(content_bytes)
        )
        
        # Then store the file data
        self.interfaceComponent.createFileData(file_item.id, content_bytes)
        
        return file_item.id
    
    def createDocument(self, fileName: str, mimeType: str, content: str, base64encoded: bool = True) -> ChatDocument:
        """Create document from file data object created by AI call"""
        # First create the file and get its ID
        file_id = self.createFile(fileName, mimeType, content, base64encoded)
        
        # Get file info for metadata
        file_info = self.interfaceComponent.getFile(file_id)
        
        # Create document with file reference
        return ChatDocument(
            id=str(uuid.uuid4()),
            fileId=file_id,
            filename=fileName,
            fileSize=file_info.fileSize,
            mimeType=mimeType
        )

    async def executeAction(self, methodName: str, actionName: str, parameters: Dict[str, Any], authData: Optional[Dict[str, Any]] = None) -> ActionResult:
        """Execute a method action"""
        try:
            if methodName not in self.methods:
                raise ValueError(f"Unknown method: {methodName}")
                
            method = self.methods[methodName]
            if actionName not in method['actions']:
                raise ValueError(f"Unknown action: {actionName} for method {methodName}")
                
            action = method['actions'][actionName]
            
            # Execute the action
            return await action['method'](parameters, authData)
            
        except Exception as e:
            logger.error(f"Error executing method {methodName}.{actionName}: {str(e)}")
            raise

# Create singleton instance
serviceObject = None

def initializeServiceContainer(currentUser: User, workflow: ChatWorkflow) -> ServiceContainer:
    """Initialize the service container singleton"""
    global serviceObject
    if serviceObject is None:
        serviceObject = ServiceContainer(currentUser, workflow)
    return serviceObject