3ed9e1b388
- Introduce a new `Tool` model and `AssistantToolBinding` for managing reusable tools within the application. - Implement CRUD operations for tools in the new `tools` route, allowing for the creation, retrieval, updating, and deletion of tools. - Update the `Assistant` model to include a list of tool IDs, enabling assistants to utilize these tools. - Enhance the backend routes to synchronize tool bindings with assistants, ensuring proper management of tool associations. - Add frontend components for tool management, including a tool picker in the assistant configuration, improving user experience in tool selection. - Create a mobile call page to facilitate video calls, integrating camera and microphone selection for enhanced communication capabilities. - Update API definitions to include tool-related types and operations, ensuring consistency across the application. - Add a migration script to create the necessary database tables for tools and bindings, supporting the new functionality.
190 lines
7.6 KiB
Python
190 lines
7.6 KiB
Python
"""数据表定义(SQLAlchemy 2.0)。
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模型注册表由接口定义驱动:
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- InterfaceDefinition:具体接入协议及其动态表单字段
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- ModelResource:模型配置与鉴权值
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- AssistantModelBinding:助手按能力选择模型资源
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"""
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from datetime import datetime
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from sqlalchemy import JSON, Boolean, DateTime, ForeignKey, String, func
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
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class Base(DeclarativeBase):
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pass
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class InterfaceDefinition(Base):
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"""具体接入协议，例如 xfyun-tts 与 xfyun-super-tts。"""
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__tablename__ = "interface_definitions"
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interface_type: Mapped[str] = mapped_column(String(64), primary_key=True)
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name: Mapped[str] = mapped_column(String(128))
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capability: Mapped[str] = mapped_column(String(16), index=True)
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field_schema: Mapped[dict] = mapped_column(JSONB, default=dict)
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enabled: Mapped[bool] = mapped_column(Boolean, default=True)
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version: Mapped[int] = mapped_column(default=1)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
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)
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class ModelResource(Base):
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"""统一模型资源：接口类型决定能力、鉴权字段和调用参数。"""
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__tablename__ = "model_resources"
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id: Mapped[str] = mapped_column(String(40), primary_key=True)
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name: Mapped[str] = mapped_column(String(128), default="")
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capability: Mapped[str] = mapped_column(String(16), index=True)
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interface_type: Mapped[str] = mapped_column(
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String(64),
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ForeignKey("interface_definitions.interface_type", ondelete="RESTRICT"),
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index=True,
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)
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values: Mapped[dict] = mapped_column(JSONB, default=dict)
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secrets: Mapped[dict] = mapped_column(JSONB, default=dict)
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support_image_input: Mapped[bool] = mapped_column(Boolean, default=False)
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enabled: Mapped[bool] = mapped_column(Boolean, default=True)
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is_default: Mapped[bool] = mapped_column(Boolean, default=False)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
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)
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class KnowledgeBase(Base):
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"""知识库注册表。本身引用一个 Embedding 模型资源。
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文档/分块(pgvector)是 KB 内部实现,这里先不展开;助手侧只认 knowledge_base_id。
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"""
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__tablename__ = "knowledge_bases"
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id: Mapped[str] = mapped_column(String(40), primary_key=True) # kb_xxx
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name: Mapped[str] = mapped_column(String(128))
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description: Mapped[str] = mapped_column(String(2048), default="")
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embedding_model_resource_id: Mapped[str | None] = mapped_column(
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String(40),
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ForeignKey("model_resources.id", ondelete="SET NULL"),
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index=True,
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nullable=True,
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)
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status: Mapped[str] = mapped_column(String(16), default="active") # active|archived
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
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)
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class Assistant(Base):
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"""助手(单表,无版本化)。type 为可变普通列,5 种类型共用此表。
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模型/KB 以 FK 引用注册表;类型专属字段塞进 config(JSON)。
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"""
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__tablename__ = "assistants"
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id: Mapped[str] = mapped_column(String(40), primary_key=True) # asst_xxx
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name: Mapped[str] = mapped_column(String(128))
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# prompt|workflow|dify|fastgpt|opencode;创建后可改
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type: Mapped[str] = mapped_column(String(16), index=True, default="prompt")
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runtime_mode: Mapped[str] = mapped_column(String(16), default="pipeline")
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greeting: Mapped[str] = mapped_column(String(2048), default="")
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enable_interrupt: Mapped[bool] = mapped_column(Boolean, default=True)
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vision_enabled: Mapped[bool] = mapped_column(Boolean, default=False)
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vision_model_resource_id: Mapped[str | None] = mapped_column(
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String(40),
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ForeignKey("model_resources.id", ondelete="SET NULL"),
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nullable=True,
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)
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# KB 引用:被引用时禁止删 KB(RESTRICT),无默认兜底
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knowledge_base_id: Mapped[str | None] = mapped_column(
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String(40), ForeignKey("knowledge_bases.id", ondelete="RESTRICT"), nullable=True
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)
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# ---- 瘦类型专属字段(真列,稀疏:按 type 用其中几列) ----
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prompt: Mapped[str] = mapped_column(String(8192), default="") # prompt / opencode
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api_url: Mapped[str] = mapped_column(String(512), default="") # dify / fastgpt / opencode
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api_key: Mapped[str] = mapped_column(String(512), default="") # dify / fastgpt / opencode(打码/哨兵)
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app_id: Mapped[str] = mapped_column(String(128), default="") # fastgpt
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# workflow 专属:图(nodes/edges)。要版本化时再迁出到 assistant_workflow 表
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graph: Mapped[dict] = mapped_column(JSON, default=dict)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
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)
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class AssistantModelBinding(Base):
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"""助手按能力绑定统一模型资源；config 可覆盖资源默认 options。"""
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__tablename__ = "assistant_model_bindings"
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assistant_id: Mapped[str] = mapped_column(
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String(40),
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ForeignKey("assistants.id", ondelete="CASCADE"),
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primary_key=True,
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)
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capability: Mapped[str] = mapped_column(String(16), primary_key=True)
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model_resource_id: Mapped[str] = mapped_column(
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String(40),
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ForeignKey("model_resources.id", ondelete="RESTRICT"),
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index=True,
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)
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config: Mapped[dict] = mapped_column(JSONB, default=dict)
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created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
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)
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class Tool(Base):
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"""Reusable LLM tool definition. Runtime execution is added separately."""
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__tablename__ = "tools"
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id: Mapped[str] = mapped_column(String(40), primary_key=True)
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name: Mapped[str] = mapped_column(String(128))
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function_name: Mapped[str] = mapped_column(String(64), unique=True, index=True)
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type: Mapped[str] = mapped_column(String(24), index=True)
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description: Mapped[str] = mapped_column(String(2048), default="")
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definition: Mapped[dict] = mapped_column(JSONB, default=dict)
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secrets: Mapped[dict] = mapped_column(JSONB, default=dict)
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status: Mapped[str] = mapped_column(String(16), index=True, default="active")
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), server_default=func.now()
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)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
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)
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class AssistantToolBinding(Base):
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"""Prompt assistant to reusable tool many-to-many binding."""
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__tablename__ = "assistant_tool_bindings"
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assistant_id: Mapped[str] = mapped_column(
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String(40),
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ForeignKey("assistants.id", ondelete="CASCADE"),
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primary_key=True,
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)
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tool_id: Mapped[str] = mapped_column(
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String(40),
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ForeignKey("tools.id", ondelete="RESTRICT"),
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primary_key=True,
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index=True,
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)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True), server_default=func.now()
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)
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