Luxx/luxx/models.py

"""ORM model definitions"""
from datetime import datetime
from typing import Optional, List
from sqlalchemy import String, Integer, Boolean, Float, Text, DateTime, ForeignKey
from sqlalchemy.orm import Mapped, mapped_column, relationship

from luxx.database import Base


class LLMProvider(Base):
    """LLM Provider configuration model"""
    __tablename__ = "llm_providers"
    
    id: Mapped[int] = mapped_column(Integer, primary_key=True)
    user_id: Mapped[int] = mapped_column(Integer, ForeignKey("users.id"), nullable=False)
    name: Mapped[str] = mapped_column(String(100), nullable=False)
    provider_type: Mapped[str] = mapped_column(String(50), nullable=False, default="openai")  # openai, deepseek, glm, etc.
    base_url: Mapped[str] = mapped_column(String(500), nullable=False)
    api_key: Mapped[str] = mapped_column(String(500), nullable=False)
    default_model: Mapped[str] = mapped_column(String(100), nullable=False, default="gpt-4")
    is_default: Mapped[bool] = mapped_column(Boolean, default=False)
    enabled: Mapped[bool] = mapped_column(Boolean, default=True)
    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
    updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
    
    # Relationships
    user: Mapped["User"] = relationship("User", backref="llm_providers")
    
    def to_dict(self, include_key: bool = False):
        """Convert to dictionary, optionally include API key"""
        result = {
            "id": self.id,
            "user_id": self.user_id,
            "name": self.name,
            "provider_type": self.provider_type,
            "base_url": self.base_url,
            "default_model": self.default_model,
            "is_default": self.is_default,
            "enabled": self.enabled,
            "created_at": self.created_at.isoformat() if self.created_at else None,
            "updated_at": self.updated_at.isoformat() if self.updated_at else None
        }
        if include_key:
            result["api_key"] = self.api_key
        return result


class Project(Base):
    """Project model"""
    __tablename__ = "projects"
    
    id: Mapped[str] = mapped_column(String(64), primary_key=True)
    user_id: Mapped[int] = mapped_column(Integer, ForeignKey("users.id"), nullable=False)
    name: Mapped[str] = mapped_column(String(255), nullable=False)
    description: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
    updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
    
    # Relationships
    user: Mapped["User"] = relationship("User", backref="projects")


class User(Base):
    """User model"""
    __tablename__ = "users"
    
    id: Mapped[int] = mapped_column(Integer, primary_key=True)
    username: Mapped[str] = mapped_column(String(50), unique=True, nullable=False)
    email: Mapped[Optional[str]] = mapped_column(String(120), unique=True, nullable=True)
    password_hash: Mapped[Optional[str]] = mapped_column(String(255), nullable=True)
    role: Mapped[str] = mapped_column(String(20), default="user")
    is_active: Mapped[bool] = mapped_column(Boolean, default=True)
    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
    
    # Relationships
    conversations: Mapped[List["Conversation"]] = relationship(
        "Conversation", back_populates="user", cascade="all, delete-orphan"
    )
    
    def to_dict(self):
        return {
            "id": self.id,
            "username": self.username,
            "email": self.email,
            "role": self.role,
            "is_active": self.is_active,
            "created_at": self.created_at.isoformat() if self.created_at else None
        }


class Conversation(Base):
    """Conversation model"""
    __tablename__ = "conversations"
    
    id: Mapped[str] = mapped_column(String(64), primary_key=True)
    user_id: Mapped[int] = mapped_column(Integer, ForeignKey("users.id"), nullable=False)
    provider_id: Mapped[Optional[int]] = mapped_column(Integer, ForeignKey("llm_providers.id"), nullable=True)
    project_id: Mapped[Optional[str]] = mapped_column(String(64), ForeignKey("projects.id"), nullable=True)
    title: Mapped[str] = mapped_column(String(255), nullable=False)
    model: Mapped[str] = mapped_column(String(64), nullable=False, default="deepseek-chat")
    system_prompt: Mapped[str] = mapped_column(Text, nullable=False, default="You are a helpful assistant.")
    temperature: Mapped[float] = mapped_column(Float, default=0.7)
    max_tokens: Mapped[int] = mapped_column(Integer, default=2000)
    thinking_enabled: Mapped[bool] = mapped_column(Boolean, default=False)
    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
    updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
    
    # Relationships
    user: Mapped["User"] = relationship("User", back_populates="conversations")
    provider: Mapped[Optional["LLMProvider"]] = relationship("LLMProvider")
    messages: Mapped[List["Message"]] = relationship(
        "Message", back_populates="conversation", cascade="all, delete-orphan"
    )
    
    def to_dict(self):
        return {
            "id": self.id,
            "user_id": self.user_id,
            "provider_id": self.provider_id,
            "project_id": self.project_id,
            "title": self.title,
            "model": self.model,
            "system_prompt": self.system_prompt,
            "temperature": self.temperature,
            "max_tokens": self.max_tokens,
            "thinking_enabled": self.thinking_enabled,
            "created_at": self.created_at.isoformat() if self.created_at else None,
            "updated_at": self.updated_at.isoformat() if self.updated_at else None
        }


class Message(Base):
    """Message model
    
    content 字段统一使用 JSON 格式存储：
    
    **User 消息：**
    {
      "text": "用户输入的文本内容",
      "attachments": [
        {"name": "utils.py", "extension": "py", "content": "..."}
      ]
    }
    
    **Assistant 消息：**
    {
      "text": "AI 回复的文本内容",
      "tool_calls": [...],        // 遗留的扁平结构
      "steps": [                  // 有序步骤，用于渲染（主要数据源）
        {"id": "step-0", "index": 0, "type": "thinking", "content": "..."},
        {"id": "step-1", "index": 1, "type": "text", "content": "..."},
        {"id": "step-2", "index": 2, "type": "tool_call", "id_ref": "call_xxx", "name": "...", "arguments": "..."},
        {"id": "step-3", "index": 3, "type": "tool_result", "id_ref": "call_xxx", "name": "...", "content": "..."}
      ]
    }
    """
    __tablename__ = "messages"
    
    id: Mapped[str] = mapped_column(String(64), primary_key=True)
    conversation_id: Mapped[str] = mapped_column(String(64), ForeignKey("conversations.id"), nullable=False)
    role: Mapped[str] = mapped_column(String(16), nullable=False)  # user, assistant, system, tool
    content: Mapped[str] = mapped_column(Text, nullable=False, default="")
    token_count: Mapped[int] = mapped_column(Integer, default=0)
    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
    
    # Relationships
    conversation: Mapped["Conversation"] = relationship("Conversation", back_populates="messages")
    
    def to_dict(self):
        """Convert to dictionary, extracting process_steps for frontend"""
        import json
        
        result = {
            "id": self.id,
            "conversation_id": self.conversation_id,
            "role": self.role,
            "token_count": self.token_count,
            "created_at": self.created_at.isoformat() if self.created_at else None
        }
        
        # Parse content JSON
        try:
            content_obj = json.loads(self.content) if self.content else {}
        except json.JSONDecodeError:
            # Legacy plain text content
            result["content"] = self.content
            result["text"] = self.content
            result["attachments"] = []
            result["tool_calls"] = []
            result["process_steps"] = []
            return result
        
        # Extract common fields
        result["text"] = content_obj.get("text", "")
        result["attachments"] = content_obj.get("attachments", [])
        result["tool_calls"] = content_obj.get("tool_calls", [])
        
        # Extract steps as process_steps for frontend rendering
        result["process_steps"] = content_obj.get("steps", [])
        
        # For backward compatibility
        if "content" not in result:
            result["content"] = result["text"]
        
        return result