from fastapi import APIRouter

from app.schemas.training import TrainingConfig, TrainingJobResponse, TrainingProgress
from app.services import training_service

router = APIRouter()


@router.post("/jobs", response_model=TrainingJobResponse)
async def create_training_job(config: TrainingConfig):
    """创建并加入训练任务。"""
    config_dict = config.model_dump()
    result = await training_service.create_training_job(config_dict)
    return TrainingJobResponse(**result)


@router.get("/jobs", response_model=list[TrainingJobResponse])
async def list_training_jobs():
    """列出所有训练任务。"""
    items = await training_service.list_training_jobs()
    return [TrainingJobResponse(**item) for item in items]


@router.get("/jobs/{job_id}", response_model=TrainingJobResponse)
async def get_training_job(job_id: str):
    """获取指定任务详情。"""
    item = await training_service.get_training_job(job_id)
    if item:
        return TrainingJobResponse(**item)
    return TrainingJobResponse(
        id=job_id,
        model_id="",
        model_type="text",
        peft_method="lora",
        status="pending",
        created_at="",
    )


@router.post("/jobs/{job_id}/cancel")
async def cancel_training_job(job_id: str):
    """取消运行中的训练任务。"""
    return await training_service.cancel_training_job(job_id)


@router.get("/jobs/{job_id}/logs")
async def stream_training_logs(job_id: str):
    """通过 SSE 流式推送训练日志。"""
    import os
    from fastapi.responses import StreamingResponse

    async def log_stream():
        from app.config import get_settings
        _settings = get_settings()
        log_file = _settings.adapters_dir / job_id / "trainer_log.txt"
        if os.path.exists(log_file):
            with open(log_file, "r") as f:
                for line in f:
                    yield f"data: {line}\n\n"
        else:
            yield "data: No logs available\n\n"

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