feat(ai): 新增智能助手功能模块

feat(backend): 添加ChromaDB向量数据库支持
feat(backend): 实现智能体配置、知识库和文档管理
feat(backend): 重构WebSocket聊天服务为AgentService
feat(frontend): 实现完整的聊天界面组件
feat(frontend): 添加智能体配置、知识库和文档管理页面
fix(user): 修复用户导入时性别转换问题
style(import): 优化导入组件加载状态处理

backend/app/plugin/module_application/ai/model.py

@@ -1,24 +1,60 @@
-from sqlalchemy import JSON, Integer, String
+from sqlalchemy import JSON, Integer, String, Text
 from sqlalchemy.orm import Mapped, mapped_column
 
 from app.core.base_model import ModelMixin, UserMixin
 
 
-class McpModel(ModelMixin, UserMixin):
+class AgentConfigModel(ModelMixin, UserMixin):
     """
-    MCP 服务器表
-    MCP类型:
-    - 0: stdio (标准输入输出)
-    - 1: sse (Server-Sent Events)
+    智能体配置表
     """
 
-    __tablename__: str = "app_ai_mcp"
-    __table_args__: dict[str, str] = {"comment": "MCP 服务器表"}
+    __tablename__: str = "app_ai_agent_config"
+    __table_args__: dict[str, str] = {"comment": "智能体配置表"}
     __loader_options__: list[str] = ["created_by", "updated_by"]
 
-    name: Mapped[str] = mapped_column(String(50), comment="MCP 名称")
-    type: Mapped[int] = mapped_column(Integer, default=0, comment="MCP 类型(0:stdio 1:sse)")
-    url: Mapped[str | None] = mapped_column(String(255), default=None, comment="远程 SSE 地址")
-    command: Mapped[str | None] = mapped_column(String(255), default=None, comment="MCP 命令")
-    args: Mapped[str | None] = mapped_column(String(255), default=None, comment="MCP 命令参数")
-    env: Mapped[dict[str, str] | None] = mapped_column(JSON(), default=None, comment="MCP 环境变量")
+    name: Mapped[str] = mapped_column(String(100), comment="智能体名称")
+    provider: Mapped[str] = mapped_column(String(50), default="openai", comment="LLM 供应商")
+    model: Mapped[str] = mapped_column(String(100), comment="LLM 名称")
+    api_key: Mapped[str] = mapped_column(String(500), comment="LLM API Key")
+    base_url: Mapped[str | None] = mapped_column(String(500), default=None, comment="自定义 LLM API 地址")
+    temperature: Mapped[float] = mapped_column(Integer, default=70, comment="温度参数 (0-100)")
+    system_prompt: Mapped[str] = mapped_column(Text, comment="系统提示词")
+    is_default: Mapped[bool] = mapped_column(Integer, default=0, comment="是否默认配置")
+    is_active: Mapped[bool] = mapped_column(Integer, default=1, comment="是否启用")
+
+
+class KnowledgeModel(ModelMixin, UserMixin):
+    """
+    知识库表
+    """
+
+    __tablename__: str = "app_ai_knowledge"
+    __table_args__: dict[str, str] = {"comment": "知识库表"}
+    __loader_options__: list[str] = ["created_by", "updated_by"]
+
+    name: Mapped[str] = mapped_column(String(100), comment="知识库名称")
+    description: Mapped[str | None] = mapped_column(String(500), default=None, comment="知识库描述")
+    embedding_model: Mapped[str] = mapped_column(String(100), default="openai", comment="嵌入模型")
+    chunk_size: Mapped[int] = mapped_column(Integer, default=500, comment="分块大小")
+    chunk_overlap: Mapped[int] = mapped_column(Integer, default=50, comment="分块重叠大小")
+    is_active: Mapped[bool] = mapped_column(Integer, default=1, comment="是否启用")
+
+
+class KnowledgeDocumentModel(ModelMixin, UserMixin):
+    """
+    知识库文档表
+    """
+
+    __tablename__: str = "app_ai_knowledge_document"
+    __table_args__: dict[str, str] = {"comment": "知识库文档表"}
+    __loader_options__: list[str] = ["created_by", "updated_by"]
+
+    knowledge_id: Mapped[int] = mapped_column(Integer, comment="知识库ID")
+    title: Mapped[str] = mapped_column(String(200), comment="文档标题")
+    content: Mapped[str] = mapped_column(Text, comment="文档内容")
+    file_type: Mapped[str] = mapped_column(String(50), default="text", comment="文件类型")
+    file_path: Mapped[str | None] = mapped_column(String(500), default=None, comment="文件路径")
+    meta_data: Mapped[dict[str, str] | None] = mapped_column(JSON(), default=None, comment="元数据")
+    chunk_count: Mapped[int] = mapped_column(Integer, default=0, comment="分块数量")
+    is_indexed: Mapped[bool] = mapped_column(Integer, default=0, comment="是否已索引")