"""Синхронный запуск пайплайна для одного видео (для длинных видео и
плейлистов используйте /jobs — этот эндпоинт держит HTTP-соединение открытым).
"""
from __future__ import annotations

from fastapi import APIRouter, HTTPException
from pydantic import BaseModel

from api.lib.llm import LLMConfig
from api.lib.processing import PipelineError, process_single_video


router = APIRouter(prefix="/pipeline", tags=["pipeline"])


class LLMOverride(BaseModel):
    base_url: str
    api_key: str = ""
    model: str
    timeout: int = 120
    max_tokens: int = 1000
    temperature: float = 0.3
    extra_headers: dict[str, str] = {}
    system_prompt: str | None = None
    user_template: str | None = None


class ProcessRequest(BaseModel):
    url: str
    model_path: str | None = None  # None → из настроек
    summary_max_sentences: int | None = None
    keep_video: bool | None = None
    section_id: int | None = None
    # Если задано — используется этот LLM; иначе сохранённые настройки/env;
    # иначе встроенная экстрактивная выжимка.
    llm: LLMOverride | None = None


class ProcessResponse(BaseModel):
    uuid: str
    title: str
    source_url: str
    video_path: str
    text_full_path: str
    text_summary_path: str
    transcription_method: str
    summary_preview: str


@router.post("/process", response_model=ProcessResponse)
async def process_video(req: ProcessRequest):
    llm_cfg = None
    sys_p = user_t = None
    if req.llm is not None:
        llm_cfg = LLMConfig(
            base_url=req.llm.base_url,
            api_key=req.llm.api_key,
            model=req.llm.model,
            timeout=req.llm.timeout,
            max_tokens=req.llm.max_tokens,
            temperature=req.llm.temperature,
            extra_headers=req.llm.extra_headers,
        )
        sys_p = req.llm.system_prompt
        user_t = req.llm.user_template

    try:
        result = await process_single_video(
            req.url,
            model_path=req.model_path,
            summary_max_sentences=req.summary_max_sentences,
            keep_video=req.keep_video,
            section_id=req.section_id,
            llm_cfg=llm_cfg,
            system_prompt=sys_p,
            user_template=user_t,
        )
    except PipelineError as e:
        raise HTTPException(status_code=e.status, detail=str(e))
    return ProcessResponse(**result)