"""
Subtitle 任务处理器
==================

管理火山引擎字幕生成与自动打轴的提交与轮询。
支持两种模式：
- caption: 字幕识别（从音频/视频提取带时间轴的字幕）
- auto_align: 自动打轴（为已有字幕文本配上时间轴）
"""

import logging
from typing import Any

from app.scheduler.handlers.base import AsyncHandler
from app.scheduler.models import StateChange
from app.scheduler.registry import JobRegistry
from app.scheduler.slot_manager import SlotManager
from app.services.volcengine_caption_service import VolcengineCaptionService

logger = logging.getLogger(__name__)

SLOT_KEY = "volc:subtitle_slots"
MAX_SLOTS = 5


class SubtitleHandler(AsyncHandler):
    name = "subtitle"
    slot_key = SLOT_KEY
    max_slots = MAX_SLOTS

    async def tick(
        self, jobs: list[Any], registry: JobRegistry, slots: SlotManager
    ) -> list[StateChange]:
        changes: list[StateChange] = []

        for job in jobs:
            params = job.params or {}
            mode = params.get("mode", "caption")
            volc_task_id = params.get("volc_task_id")
            project_id = params.get("project_id", "")
            video_path = params.get("video", params.get("video_path", ""))
            language = params.get("language", "zh")
            audio_text = params.get("audio_text", "")

            if volc_task_id:
                # 轮询
                try:
                    service = VolcengineCaptionService()
                    if mode == "auto_align":
                        result = await service.query_auto_align_task(volc_task_id, blocking=False)
                    else:
                        result = await service.query_caption_task(volc_task_id, blocking=False)

                    if result.code == 0:
                        utterances = result.utterances or []
                        result_data = {
                            "project_id": project_id,
                            "video_path": video_path,
                            "language": language,
                            "mode": mode,
                            "duration": result.duration,
                            "utterances": [
                                {
                                    "text": u.text,
                                    "start_time": u.start_time,
                                    "end_time": u.end_time,
                                }
                                for u in utterances
                            ],
                        }
                        await slots.release(SLOT_KEY, job.job_id)
                        changes.append(
                            StateChange(job_id=job.job_id, field_path="status", value="completed")
                        )
                        changes.append(
                            StateChange(
                                job_id=job.job_id, field_path="message", value="字幕生成完成"
                            )
                        )
                        changes.append(
                            StateChange(job_id=job.job_id, field_path="completed", value=1)
                        )
                        changes.append(StateChange(job_id=job.job_id, field_path="total", value=1))
                        changes.append(
                            StateChange(job_id=job.job_id, field_path="result", value=result_data)
                        )
                    elif result.code != 2000:
                        await slots.release(SLOT_KEY, job.job_id)
                        changes.append(
                            StateChange(job_id=job.job_id, field_path="status", value="failed")
                        )
                        changes.append(
                            StateChange(
                                job_id=job.job_id,
                                field_path="message",
                                value=f"字幕识别失败: {result.message}",
                            )
                        )
                        changes.append(
                            StateChange(job_id=job.job_id, field_path="error", value=result.message)
                        )
                except Exception as e:
                    logger.error(f"[Subtitle {job.job_id}] poll error: {e}")
                continue

            # 提交
            acquired = await slots.acquire(SLOT_KEY, job.job_id, MAX_SLOTS)
            if not acquired:
                continue

            try:
                service = VolcengineCaptionService()
                if mode == "auto_align":
                    if not audio_text:
                        raise ValueError("auto_align 模式需要提供 audio_text")
                    volc_task_id = await service.submit_auto_align_task(
                        audio_url=video_path,
                        audio_text=audio_text,
                    )
                else:
                    volc_task_id = await service.submit_caption_task(
                        audio_url=video_path, language=language
                    )
                if not volc_task_id:
                    raise ValueError("未返回任务ID")
                params["volc_task_id"] = volc_task_id
                changes.append(StateChange(job_id=job.job_id, field_path="params", value=params))
                changes.append(
                    StateChange(job_id=job.job_id, field_path="message", value="字幕任务已提交")
                )
            except Exception as e:
                await slots.release(SLOT_KEY, job.job_id)
                changes.append(StateChange(job_id=job.job_id, field_path="status", value="failed"))
                changes.append(
                    StateChange(job_id=job.job_id, field_path="message", value=str(e)[:200])
                )
                changes.append(
                    StateChange(job_id=job.job_id, field_path="error", value=str(e)[:500])
                )

        return changes