"""任务管理 API - 兼容 /api/v1/tasks 路径"""
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session
from typing import List
from pathlib import Path
from pydantic import BaseModel

from ...database import get_db
from ...models.job import Job, JobStatus
from ...schemas.job import JobResponse
from ...config import settings
from ...core.i18n import I18n, get_i18n

router = APIRouter()


class TaskCreateRequest(BaseModel):
    """任务创建请求"""
    files: List[str]  # 文件名列表
    sequence_type: str = "nucl"
    min_identity: float = 0.8
    min_coverage: float = 0.6
    allow_unknown_families: bool = False
    require_index_hit: bool = True


class QueuePosition(BaseModel):
    """队列位置信息"""
    position: int
    estimated_wait_minutes: int = None


@router.post("/", response_model=JobResponse)
async def create_task(request: TaskCreateRequest, db: Session = Depends(get_db), i18n: I18n = Depends(get_i18n)):
    """创建新任务（兼容前端）"""
    # 暂时复用 jobs 逻辑
    # TODO: 实现完整的文件上传和处理
    raise HTTPException(status_code=501, detail=i18n.t("use_create_endpoint"))


@router.get("/{task_id}", response_model=JobResponse)
async def get_task(task_id: str, db: Session = Depends(get_db), i18n: I18n = Depends(get_i18n)):
    """获取任务状态"""
    job = db.query(Job).filter(Job.id == task_id).first()
    if not job:
        raise HTTPException(status_code=404, detail=i18n.t("task_not_found"))
    return job


@router.get("/{task_id}/queue")
async def get_queue_position(task_id: str, db: Session = Depends(get_db), i18n: I18n = Depends(get_i18n)):
    """获取排队位置"""
    job = db.query(Job).filter(Job.id == task_id).first()
    if not job:
        raise HTTPException(status_code=404, detail=i18n.t("task_not_found"))

    if job.status not in [JobStatus.PENDING, JobStatus.QUEUED]:
        return {"position": 0, "message": i18n.t("task_not_in_queue")}

    # 计算排队位置
    ahead_jobs = db.query(Job).filter(
        Job.id != task_id,
        Job.status.in_([JobStatus.PENDING, JobStatus.QUEUED]),
        Job.created_at < job.created_at
    ).count()

    position = ahead_jobs + 1
    # 假设每个任务约5分钟
    estimated_wait = position * 5

    return QueuePosition(position=position, estimated_wait_minutes=estimated_wait)