#  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").global_state_machine
    await global_state_machine.add_workflow_template.remote( workflow_template.name, workflow_template)
    return {"message": "创建成功"}

@resource_router.get("/workflow_template")
async def get_workflow_templates(_: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.USER))):
    global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
    templates = await global_state_machine.get_all_workflow_templates.remote()
    return {"templates": templates}

@resource_router.delete("/workflow_template/{template_name}")
async def delete_workflow_template(template_name: str, _: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.SUPER_ADMINISTRATOR))):
    global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
    await global_state_machine.delete_workflow_template.remote( template_name)
    return {"message": "success"}



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").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.add_skill.remote( skill_name)
    return {"message": "创建成功"}

@resource_router.get("/skill")
async def get_skills(_: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.USER))):
    global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
    skills = await global_state_machine.get_skill_list.remote()
    return {"skills": skills}

@resource_router.delete("/skill/{skill_name}")
async def delete_skill(skill_name: str, _: TokenData = Depends(RoleChecker(allowed_roles=UserAuthority.SUPER_ADMINISTRATOR))):
    global_state_machine = ray_actor_hook("global_state_machine").global_state_machine
    # Note: this only removes it from the state machine manager.
    await global_state_machine.remove_skill.remote( skill_name)
    return {"message": "success"}