feat(system):优化后端

1.新增后端测试
2.增加了后端的加密
3.增加了i18n（国际化）

kilostar/core/postgres_database/model/__init__.py

@@ -23,12 +23,16 @@ from kilostar.core.postgres_database.model.individual import (
 from kilostar.core.postgres_database.model.workflow import (
     Workflow,
     WorkflowContextModel,
+    WorkflowGraphStateModel,
 )
 from kilostar.core.postgres_database.model.chat_history import (
     ChatHistoryRegister,
     ChatHistoryMessage,
 )
 from kilostar.core.postgres_database.model.system_node import SystemNodeConfigModel
+from kilostar.core.postgres_database.model.mcp_server import MCPServerModel
+from kilostar.core.postgres_database.model.tool_config import ToolConfigModel
+from kilostar.core.postgres_database.model.custom_toolset import CustomToolsetModel
 
 # 兼容旧代码的别名
 Provider = ProviderModel
@@ -49,9 +53,13 @@ __all__ = [
     "SpecialIndividualModel",
     "Workflow",
     "WorkflowContextModel",
+    "WorkflowGraphStateModel",
     "ChatHistoryRegister",
     "ChatHistoryMessage",
     "SystemNodeConfigModel",
     "SystemNodeConfig",
+    "MCPServerModel",
+    "ToolConfigModel",
+    "CustomToolsetModel",
     "AgentType",
 ]

kilostar/core/postgres_database/model/custom_toolset.py

@@ -0,0 +1,32 @@
+from datetime import datetime
+from typing import List, Optional
+
+from sqlalchemy import String, Text, DateTime, func
+from sqlalchemy.dialects.postgresql import JSONB
+from sqlalchemy.orm import Mapped, mapped_column
+
+from .base import BaseDataModel
+
+
+class CustomToolsetModel(BaseDataModel):
+    """用户自定义工具组：把若干个非 system / 非 mcp 的工具插件打包成一个 toolset。
+
+    ``tools`` 字段保存工具名列表（即 ``plugin/tool_plugin/`` 下的目录名）；
+    GSM 启动时按列表把对应工具函数装进同一个 ``FunctionToolset``。
+    """
+
+    __tablename__ = "custom_toolset"
+
+    toolset_id: Mapped[str] = mapped_column(String(64), primary_key=True)
+    name: Mapped[str] = mapped_column(String(100), nullable=False)
+    description: Mapped[Optional[str]] = mapped_column(Text)
+    owner_id: Mapped[Optional[str]] = mapped_column(String(64), index=True)
+    tools: Mapped[List[str]] = mapped_column(
+        JSONB, default=list, comment="工具名列表，仅允许非 system/非 mcp 的工具"
+    )
+    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()
+    )

kilostar/core/postgres_database/model/mcp_server.py

@@ -0,0 +1,29 @@
+from typing import Optional
+from datetime import datetime
+
+from sqlalchemy import String, DateTime, func
+from sqlalchemy.dialects.postgresql import JSONB
+from sqlalchemy.orm import Mapped, mapped_column
+
+from .base import BaseDataModel
+
+
+class MCPServerModel(BaseDataModel):
+    """MCP 服务器注册表，记录 stdio/sse/http 三种 transport 的连接配置。"""
+
+    __tablename__ = "mcp_server"
+
+    server_id: Mapped[str] = mapped_column(String(64), primary_key=True)
+    name: Mapped[str] = mapped_column(String(100), nullable=False)
+    transport: Mapped[str] = mapped_column(String(16), nullable=False)
+    command: Mapped[Optional[str]] = mapped_column(String(255))
+    args: Mapped[list] = mapped_column(JSONB, default=list)
+    url: Mapped[Optional[str]] = mapped_column(String(500))
+    tool_prefix: Mapped[Optional[str]] = mapped_column(String(64))
+    env: Mapped[dict] = mapped_column(JSONB, default=dict, comment="敏感字段已 Fernet 加密")
+    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()
+    )

kilostar/core/postgres_database/model/tool_config.py

@@ -0,0 +1,22 @@
+from datetime import datetime
+
+from sqlalchemy import String, DateTime, func
+from sqlalchemy.dialects.postgresql import JSONB
+from sqlalchemy.orm import Mapped, mapped_column
+
+from .base import BaseDataModel
+
+
+class ToolConfigModel(BaseDataModel):
+    """工具运行期配置（如 Tavily API key）；config 内的敏感字段已 Fernet 加密。"""
+
+    __tablename__ = "tool_config"
+
+    tool_name: Mapped[str] = mapped_column(String(100), primary_key=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()
+    )

kilostar/core/postgres_database/model/workflow.py

@@ -79,3 +79,28 @@ class WorkflowContextModel(BaseDataModel):
     updated_at: Mapped[str] = mapped_column(
         DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
     )
+
+
+class WorkflowGraphStateModel(BaseDataModel):
+    """pydantic_graph 持久化 blob 的存储表。
+
+    与 ``workflow_context`` 解耦——后者面向"业务展示 / 用户可读"，前者面向
+    "graph 引擎自身的状态恢复"。一份 trace_id 一行，jsonb 直接存 history 全量。
+    """
+
+    __tablename__ = "workflow_graph_state"
+
+    trace_id: Mapped[str] = mapped_column(
+        String(64), primary_key=True, comment="对应的工作流 Trace ID"
+    )
+    history: Mapped[list] = mapped_column(
+        JSONB,
+        default=list,
+        comment="pydantic_graph FullStatePersistence.history 的 JSON 序列化",
+    )
+    created_at: Mapped[str] = mapped_column(
+        DateTime(timezone=True), server_default=func.now()
+    )
+    updated_at: Mapped[str] = mapped_column(
+        DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
+    )