from pydantic import BaseModel, Field
from typing import List, Dict, Any, Optional


class Label(BaseModel):
    """Label for an attribute or a class with support for multiple languages"""
    default: str
    translations: Dict[str, str] = {}
    
    def get_label(self, language: str = None):
        """Returns the label in the specified language, or the default value if not available"""
        if language and language in self.translations:
            return self.translations[language]
        return self.default


class Prompt(BaseModel):
    """Data model for a prompt"""
    id: int = Field(description="Unique ID of the prompt")
    mandate_id: int = Field(description="ID of the associated mandate")
    user_id: int = Field(description="ID of the creator")
    content: str = Field(description="Content of the prompt")
    name: str = Field(description="Display name of the prompt")
    
    label: Label = Field(
        default=Label(default="Prompt", translations={"en": "Prompt", "fr": "Invite"}),
        description="Label for the class"
    )
    
    # Labels for attributes
    field_labels: Dict[str, Label] = {
        "id": Label(default="ID", translations={}),
        "mandate_id": Label(default="Mandate ID", translations={"en": "Mandate ID", "fr": "ID de mandat"}),
        "user_id": Label(default="User ID", translations={"en": "User ID", "fr": "ID d'utilisateur"}),
        "content": Label(default="Content", translations={"en": "Content", "fr": "Contenu"}),
        "name": Label(default="Name", translations={"en": "Label", "fr": "Nom"}),
    }


class FileItem(BaseModel):
    """Data model for a file"""
    id: int = Field(description="Unique ID of the data object")
    mandate_id: int = Field(description="ID of the associated mandate")
    user_id: int = Field(description="ID of the creator")
    name: str = Field(description="Name of the data object")
    mime_type: str = Field(description="Type of the data object MIME type")
    size: Optional[int] = Field(None, description="Size of the data object in bytes")
    file_hash: str = Field(description="Hash code for deduplication")
    creation_date: Optional[str] = Field(None, description="Upload date")
    workflow_id: Optional[str] = Field(None, description="ID of the associated workflow, if any")

    label: Label = Field(
        default=Label(default="Data Object", translations={"en": "Data Object", "fr": "Objet de données"}),
        description="Label for the class"
    )
    
    # Labels for attributes
    field_labels: Dict[str, Label] = {
        "id": Label(default="ID", translations={}),
        "mandate_id": Label(default="Mandate ID", translations={"en": "Mandate ID", "fr": "ID de mandat"}),
        "user_id": Label(default="User ID", translations={"en": "User ID", "fr": "ID d'utilisateur"}),
        "name": Label(default="Name", translations={"en": "Name", "fr": "Nom"}),
        "mime_type": Label(default="Type", translations={"en": "Type", "fr": "Type"}),
        "size": Label(default="Size", translations={"en": "Size", "fr": "Taille"}),
        "file_hash": Label(default="File Hash", translations={"en": "Hash", "fr": "Hash"}),
        "creation_date": Label(default="Upload date", translations={"en": "Upload date", "fr": "Date de téléchargement"}),
        "workflow_id": Label(default="Workflow ID", translations={"en": "Workflow ID", "fr": "ID du workflow"})
    }

class FileData(BaseModel):
    """Data model for file content"""
    id: int = Field(description="Unique ID of the data object")
    data: str = Field(description="Binary content of the file as base64 string")

# Workflow model classes

class DocumentContent(BaseModel):
    """Content of a document in the workflow"""
    sequence_nr: int = Field(1, description="Sequence number of the content in the source document")
    name: str = Field(description="Designation")
    ext: str = Field(description="Content extension for export: txt, csv, json, jpg, png")
    content_type: str = Field(description="MIME type")
    summary: str = Field(description="Summary of the file content")
    metadata: Dict[str, Any] = Field(default_factory=dict, description="Metadata about the content, such as is_text flag, format information, encoding, etc.")

class Document(BaseModel):
    """Document in the workflow - References a file directly in the database"""
    id: str = Field(description="Unique ID of the document")
    name: str = Field(description="Name of the data object")
    ext: str = Field(description="Extension of the data object")
    file_id: int = Field(description="ID of the referenced file in the database")
    data: str = Field(description="Content of the data as base64 string")
    contents: List[DocumentContent] = Field(description="Document contents")

class DataStats(BaseModel):
    """Statistics for performance and data usage"""
    processing_time: Optional[float] = Field(None, description="Processing time in seconds")
    token_count: Optional[int] = Field(None, description="Token count (for AI models)")
    bytes_sent: Optional[int] = Field(None, description="Bytes sent")
    bytes_received: Optional[int] = Field(None, description="Bytes received")

class Message(BaseModel):
    """Message object in the workflow"""
    id: str = Field(description="Unique ID of the message")
    workflow_id: str = Field(description="Reference to the parent workflow")
    parent_message_id: Optional[str] = Field(None, description="Reference to the replied message")
    started_at: str = Field(description="Timestamp for message creation")
    finished_at: Optional[str] = Field(None, description="Timestamp for message completion")
    sequence_no: int = Field(description="Sequence number for sorting")
    
    status: str = Field(description="Status of the message ('processing', 'completed')")
    role: str = Field(description="Role of the sender ('system', 'user', 'assistant')")
    
    data_stats: Optional[DataStats] = Field(None, description="Statistics")
    documents: Optional[List[Document]] = Field(None, description="Documents in this message (references to files in the database)")
    content: Optional[str] = Field(None, description="Text content of the message")
    agent_name: Optional[str] = Field(None, description="Name of the agent used")

class Workflow(BaseModel):
    """Workflow object for multi-agent system"""
    id: str = Field(description="Unique ID of the workflow")
    name: Optional[str] = Field(None, description="Name of the workflow")
    mandate_id: int = Field(description="ID of the mandate")
    user_id: int = Field(description="ID of the user")
    status: str = Field(description="Status of the workflow ('running', 'completed')")
    started_at: str = Field(description="Start timestamp")
    last_activity: str = Field(description="Timestamp of the last activity")
    message_ids: List[str] = Field(default=[], description="List of message IDs in this workflow")
    
    data_stats: Optional[Dict[str, Any]] = Field(None, description="Total statistics")
    messages: List[Message] = Field(default=[], description="Message history")
    logs: List[Dict[str, Any]] = Field(default=[], description="Log entries")

# Request models for the API

class UserInputRequest(BaseModel):
    """Request for user input to a running workflow"""
    prompt: str = Field(description="Message from the user")
    list_file_id: List[int] = Field(default=[], description="List of FileItem IDs")