Hermes Agent
88 lines
3.6 KiB
Python
88 lines
3.6 KiB
Python
from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.config import settings
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from app.core.security import hash_password
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from app.models import Agent, AgentTeam, Announcement, LLMModel, LLMProvider, Menu, Permission, Role, User, Workflow
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async def seed_database(db: AsyncSession) -> None:
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exists = await db.scalar(select(User.id).limit(1))
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if exists:
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return
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admin = User(
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email=settings.seed_admin_email,
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username="admin",
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nickname="系统管理员",
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password_hash=hash_password(settings.seed_admin_password),
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is_superuser=True,
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)
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role = Role(name="超级管理员", code="admin", description="系统内置管理员")
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permissions = [
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Permission(name="用户管理", code="core:user", resource="user", action="manage"),
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Permission(name="角色管理", code="core:role", resource="role", action="manage"),
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Permission(name="AI 管理", code="ai:manage", resource="ai", action="manage"),
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]
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role.permissions = permissions
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admin.roles = [role]
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menus = [
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Menu(title="工作台", path="/", icon="Monitor"),
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Menu(title="用户管理", path="/system/users", icon="User"),
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Menu(title="角色管理", path="/system/roles", icon="Lock"),
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Menu(title="菜单管理", path="/system/menus", icon="Menu"),
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Menu(title="权限管理", path="/system/permissions", icon="Key"),
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Menu(title="公告管理", path="/system/announcements", icon="Bell"),
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Menu(title="Provider", path="/ai/providers", icon="Connection"),
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Menu(title="Model", path="/ai/models", icon="Cpu"),
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Menu(title="Agent", path="/ai/agents", icon="Avatar"),
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Menu(title="Agent Chat", path="/ai/chat", icon="ChatLineRound"),
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Menu(title="Workflow", path="/ai/workflows", icon="Share"),
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Menu(title="Workflow Runs", path="/ai/workflow-runs", icon="Tickets"),
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Menu(title="Knowledge Base", path="/ai/knowledge", icon="Collection"),
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Menu(title="Agent Team", path="/ai/teams", icon="Operation"),
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]
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provider = LLMProvider(
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name="OpenAI Compatible",
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code="openai_compatible",
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provider_type="openai_compatible",
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base_url="",
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api_key="",
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)
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model = LLMModel(provider=provider, name="gpt-compatible", display_name="默认兼容模型")
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agent = Agent(
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name="Planner",
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code="planner",
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status="published",
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system_prompt="你是任务规划智能体，负责拆解目标并给出执行计划。",
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model=model,
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)
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workflow = Workflow(
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name="最小 LLM 工作流",
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code="minimal_llm",
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status="published",
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definition={
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"nodes": [
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{"id": "start", "type": "start", "data": {}},
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{"id": "plan", "type": "agent", "data": {"agent_id": ""}},
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{"id": "end", "type": "end", "data": {}},
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],
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"edges": [],
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},
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)
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team = AgentTeam(
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name="默认协作团队",
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code="default_team",
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description="Planner -> Executor -> Reviewer 的最小协作演示",
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members=[{"agent_id": "", "role": "planner"}, {"agent_id": "", "role": "reviewer"}],
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)
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announcement = Announcement(title="AI Agent Admin 已初始化", content="轻量管理后台已可用。", status="published")
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db.add_all([admin, role, *permissions, *menus, provider, model, agent, workflow, team, announcement])
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await db.flush()
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workflow.definition["nodes"][1]["data"]["agent_id"] = agent.id
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team.members = [{"agent_id": agent.id, "role": "planner"}, {"agent_id": agent.id, "role": "reviewer"}]
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await db.commit()
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