78 lines
3.7 KiB
Python
78 lines
3.7 KiB
Python
# Copyright 2026 zhaoxi826
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from pydantic import BaseModel
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import viceroy
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from pretor.core.workflow.workflow_template_generator.workflow_template import WorkflowTemplate
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from pretor.utils.ray_hook import ray_actor_hook
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from fastapi import APIRouter, Depends
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from pretor.utils.access import TokenData
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from pretor.utils.check_user.role_check import RoleChecker
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from pretor.core.database.table.user import UserAuthority
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resource_router = APIRouter(prefix="/api/v1/resource")
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@resource_router.post("/workflow_template")
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async def create_workflow_template(workflow_template: WorkflowTemplate,
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_: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.USER))):
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global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
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await global_state_machine.add_workflow_template.remote( workflow_template.name, workflow_template)
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return {"message": "创建成功"}
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@resource_router.get("/workflow_template")
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async def get_workflow_templates(_: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.USER))):
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global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
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templates = await global_state_machine.get_all_workflow_templates.remote()
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return {"templates": templates}
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@resource_router.delete("/workflow_template/{template_name}")
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async def delete_workflow_template(template_name: str, _: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.SUPER_ADMINISTRATOR))):
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global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
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await global_state_machine.delete_workflow_template.remote( template_name)
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return {"message": "success"}
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class Skill(BaseModel):
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repo_url: str
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path: str | None
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@resource_router.post("/skill")
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async def install_skill(skill: Skill,
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_: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.USER))):
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global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
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# noinspection PyUnresolvedReferences
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await viceroy.install_skill_async(url = skill.repo_url,
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path = skill.path,
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output = "./pretor/plugin/tool_plugin")
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if skill.path:
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skill_name = skill.path.split("/")[-1]
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else:
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skill_name = skill.repo_url.split("/")[-1]
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await global_state_machine.add_skill.remote( skill_name)
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return {"message": "创建成功"}
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@resource_router.get("/skill")
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async def get_skills(_: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.USER))):
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global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
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skills = await global_state_machine.get_skill_list.remote()
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return {"skills": skills}
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@resource_router.delete("/skill/{skill_name}")
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async def delete_skill(skill_name: str, _: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.SUPER_ADMINISTRATOR))):
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global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
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# Note: this only removes it from the state machine manager.
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await global_state_machine.remove_skill.remote( skill_name)
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return {"message": "success"}
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