#  Copyright 2026 zhaoxi826
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#       http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.

from pydantic import BaseModel
import viceroy
from pretor.core.workflow.workflow_template_generator.workflow_template import WorkflowTemplate
from pretor.utils.ray_hook import ray_actor_hook
from fastapi import APIRouter, Depends
from pretor.utils.access import TokenData
from pretor.utils.check_user.role_check import RoleChecker
from pretor.core.database.table.user import UserAuthority

resource_router = APIRouter(prefix="/api/v1/resource")

@resource_router.post("/workflow_template")
async def create_workflow_template(workflow_template: WorkflowTemplate,
                                   _: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.USER))):
    global_state_machine = ray_actor_hook("global_state_machine")
    await global_state_machine.workflow_template_generate.remote(workflow_template)
    return {"message": "创建成功"}



class Skill(BaseModel):
    repo_url: str
    path: str | None

@resource_router.post("/skill")
async def install_skill(skill: Skill,
                        _: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.USER))):
    global_state_machine = ray_actor_hook("global_state_machine")
    # noinspection PyUnresolvedReferences
    await viceroy.install_skill_async(url = skill.repo_url,
                                path = skill.path,
                                output = "./pretor/plugin/tool_plugin")
    if skill.path:
        skill_name = skill.path.split("/")[-1]
    else:
        skill_name = skill.repo_url.split("/")[-1]
    await global_state_machine.skill_manager.remote("add_skill", skill_name)
    return {"message": "创建成功"}