初始提交：极码 GeekCode 全栈项目（FastAPI + Vue3）

backend/models/conversation.py

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+"""对话模型 - 用于需求助手和架构助手"""
+from sqlalchemy import Column, Integer, String, Text, DateTime, ForeignKey, Enum
+from sqlalchemy.sql import func
+from database import Base
+import enum
+
+
+class ConversationType(str, enum.Enum):
+    """对话类型"""
+    REQUIREMENT = "requirement"  # 需求理解
+    ARCHITECTURE = "architecture"  # 架构选型
+
+
+class Conversation(Base):
+    __tablename__ = "conversations"
+
+    id = Column(Integer, primary_key=True, index=True)
+    user_id = Column(Integer, ForeignKey("users.id"), nullable=False, index=True)
+    title = Column(String(200), default="新对话")
+    type = Column(String(20), nullable=False)  # requirement / architecture
+    created_at = Column(DateTime(timezone=True), server_default=func.now())
+    updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
+
+
+class Message(Base):
+    __tablename__ = "messages"
+
+    id = Column(Integer, primary_key=True, index=True)
+    conversation_id = Column(Integer, ForeignKey("conversations.id"), nullable=False, index=True)
+    role = Column(String(20), nullable=False)  # user / assistant
+    content = Column(Text, nullable=False)
+    image_urls = Column(Text, default="")  # JSON数组，存储图片路径
+    created_at = Column(DateTime(timezone=True), server_default=func.now())