#  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 kilostar.utils.ray_hook import ray_actor_hook
from fastapi import APIRouter, Request, HTTPException, Depends
from fastapi.responses import StreamingResponse
from pydantic import BaseModel
from ulid import ULID
import asyncio
from kilostar.utils.access import Accessor, TokenData

workflow_router = APIRouter(prefix="/api/v1/workflow", tags=["workflow"])


class CreateWorkflowRequest(BaseModel):
    title: str
    command: str


@workflow_router.post("")
async def create_workflow(
    request: CreateWorkflowRequest,
    token_data: TokenData = Depends(Accessor.get_current_user),
):
    postgres_database = ray_actor_hook("postgres_database").postgres_database
    trace_id = str(ULID())
    await postgres_database.create_workflow.remote(
        trace_id=trace_id,
        user_id=token_data.user_id,
        title=request.title,
        command=request.command,
    )

    global_workflow_manager = ray_actor_hook(
        "global_workflow_manager"
    ).global_workflow_manager
    await global_workflow_manager.create_trace.remote(trace_id)

    consciousness_node = ray_actor_hook("consciousness_node").consciousness_node
    consciousness_node.start_workflow_design.remote(trace_id, request.command)

    return {"trace_id": trace_id, "status": "creating"}


@workflow_router.get("/list")
async def get_workflow_list(token_data: TokenData = Depends(Accessor.get_current_user)):
    postgres_database = ray_actor_hook("postgres_database").postgres_database
    workflows = await postgres_database.list_workflows.remote(
        user_id=token_data.user_id
    )
    return {"workflows": workflows}


@workflow_router.get("/sse/{trace_id}")
async def get_workflow_sse(trace_id: str, request: Request):
    global_workflow_manager = ray_actor_hook(
        "global_workflow_manager"
    ).global_workflow_manager

    async def event_generator():
        try:
            while True:
                if await request.is_disconnected():
                    break
                message = await global_workflow_manager.get_pending.remote(trace_id)
                if message:
                    yield f"data: {message}\n\n"
                else:
                    await asyncio.sleep(0.5)
        except asyncio.CancelledError:
            pass

    return StreamingResponse(event_generator(), media_type="text/event-stream")


@workflow_router.post("/reply/{trace_id}")
async def post_workflow_reply(trace_id: str, request: Request):
    data = await request.json()
    reply_msg = data.get("message", "")
    global_workflow_manager = ray_actor_hook(
        "global_workflow_manager"
    ).global_workflow_manager
    await global_workflow_manager.put_received.remote(trace_id, reply_msg)
    return {"status": "ok"}


@workflow_router.get("/{trace_id}")
async def get_workflow_detail(
    trace_id: str, token_data: TokenData = Depends(Accessor.get_current_user)
):
    postgres_database = ray_actor_hook("postgres_database").postgres_database
    wf = await postgres_database.get_workflow.remote(trace_id)
    if not wf:
        raise HTTPException(status_code=404, detail="Workflow not found")

    context = await postgres_database.get_workflow_context.remote(trace_id)

    steps = context.work_link if context and hasattr(context, "work_link") else []

    return {
        "trace_id": trace_id,
        "title": wf.title,
        "status": wf.status,
        "command": wf.command,
        "steps": steps,
        "context_blackboard": context.blackboard if context else {},
    }