ai-video-fullstack/backend/db/models.py

"""数据表定义(SQLAlchemy 2.0)。

模型注册表由接口定义驱动:
  - InterfaceDefinition:具体接入协议及其动态表单字段
  - ModelResource:模型配置与鉴权值
  - AssistantModelBinding:助手按能力选择模型资源

"""

from datetime import datetime

from sqlalchemy import JSON, Boolean, DateTime, ForeignKey, String, func
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column


class Base(DeclarativeBase):
    pass


class InterfaceDefinition(Base):
    """具体接入协议，例如 xfyun-tts 与 xfyun-super-tts。"""

    __tablename__ = "interface_definitions"

    interface_type: Mapped[str] = mapped_column(String(64), primary_key=True)
    name: Mapped[str] = mapped_column(String(128))
    capability: Mapped[str] = mapped_column(String(16), index=True)
    field_schema: Mapped[dict] = mapped_column(JSONB, default=dict)
    enabled: Mapped[bool] = mapped_column(Boolean, default=True)
    version: Mapped[int] = mapped_column(default=1)
    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
    )


class ModelResource(Base):
    """统一模型资源：接口类型决定能力、鉴权字段和调用参数。"""

    __tablename__ = "model_resources"

    id: Mapped[str] = mapped_column(String(40), primary_key=True)
    name: Mapped[str] = mapped_column(String(128), default="")
    capability: Mapped[str] = mapped_column(String(16), index=True)
    interface_type: Mapped[str] = mapped_column(
        String(64),
        ForeignKey("interface_definitions.interface_type", ondelete="RESTRICT"),
        index=True,
    )
    values: Mapped[dict] = mapped_column(JSONB, default=dict)
    secrets: Mapped[dict] = mapped_column(JSONB, default=dict)
    support_image_input: Mapped[bool] = mapped_column(Boolean, default=False)
    enabled: Mapped[bool] = mapped_column(Boolean, default=True)
    is_default: Mapped[bool] = mapped_column(Boolean, default=False)
    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
    )


class KnowledgeBase(Base):
    """知识库注册表。本身引用一个 Embedding 模型资源。

    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。
    """

    __tablename__ = "knowledge_bases"

    id: Mapped[str] = mapped_column(String(40), primary_key=True)  # kb_xxx
    name: Mapped[str] = mapped_column(String(128))
    description: Mapped[str] = mapped_column(String(2048), default="")
    embedding_model_resource_id: Mapped[str | None] = mapped_column(
        String(40),
        ForeignKey("model_resources.id", ondelete="SET NULL"),
        nullable=True,
    )
    status: Mapped[str] = mapped_column(String(16), default="active")  # active|archived
    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
    )


class Assistant(Base):
    """助手(单表,无版本化)。type 为可变普通列,5 种类型共用此表。

    模型/KB 以 FK 引用注册表;类型专属字段塞进 config(JSON)。
    """

    __tablename__ = "assistants"

    id: Mapped[str] = mapped_column(String(40), primary_key=True)  # asst_xxx
    name: Mapped[str] = mapped_column(String(128))
    # prompt|workflow|dify|fastgpt|opencode;创建后可改
    type: Mapped[str] = mapped_column(String(16), index=True, default="prompt")
    runtime_mode: Mapped[str] = mapped_column(String(16), default="pipeline")
    greeting: Mapped[str] = mapped_column(String(2048), default="")
    enable_interrupt: Mapped[bool] = mapped_column(Boolean, default=True)
    vision_enabled: Mapped[bool] = mapped_column(Boolean, default=False)
    vision_model_resource_id: Mapped[str | None] = mapped_column(
        String(40),
        ForeignKey("model_resources.id", ondelete="SET NULL"),
        nullable=True,
    )

    # KB 引用:被引用时禁止删 KB(RESTRICT),无默认兜底
    knowledge_base_id: Mapped[str | None] = mapped_column(
        String(40), ForeignKey("knowledge_bases.id", ondelete="RESTRICT"), nullable=True
    )

    # ---- 瘦类型专属字段(真列,稀疏:按 type 用其中几列) ----
    prompt: Mapped[str] = mapped_column(String(8192), default="")    # prompt / opencode
    api_url: Mapped[str] = mapped_column(String(512), default="")    # dify / fastgpt / opencode
    api_key: Mapped[str] = mapped_column(String(512), default="")    # dify / fastgpt / opencode(打码/哨兵)
    app_id: Mapped[str] = mapped_column(String(128), default="")     # fastgpt
    # workflow 专属:图(nodes/edges)。要版本化时再迁出到 assistant_workflow 表
    graph: Mapped[dict] = mapped_column(JSON, default=dict)

    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
    )


class AssistantModelBinding(Base):
    """助手按能力绑定统一模型资源；config 可覆盖资源默认 options。"""

    __tablename__ = "assistant_model_bindings"

    assistant_id: Mapped[str] = mapped_column(
        String(40),
        ForeignKey("assistants.id", ondelete="CASCADE"),
        primary_key=True,
    )
    capability: Mapped[str] = mapped_column(String(16), primary_key=True)
    model_resource_id: Mapped[str] = mapped_column(
        String(40),
        ForeignKey("model_resources.id", ondelete="RESTRICT"),
        index=True,
    )
    config: Mapped[dict] = mapped_column(JSONB, default=dict)
    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
    )