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https://github.com/linyqh/NarratoAI.git
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d29874a163
背景音乐来源新增 "AI 生成配乐（Sonilo）"：将合成完成的视频（未加 BGM） 上传到 Sonilo API，根据画面内容与剪辑节奏生成配乐，音频文件交还给现有 合成流程混音，解说配音音量策略保持不变。 - 独立模块 app/services/sonilo.py，仅在配置 sonilo_api_key 后可用 - 上传前 ffprobe 本地校验时长（接口上限 6 分钟），避免白传计费 - 任何失败只记录日志并回退到随机背景音乐，绝不中断成片任务 - WebUI 选项处提示：视频将上传至 Sonilo API，生成的音乐已获授权、 可商用（以条款为准） - 现有 resource/upload/none 的 BGM 逻辑不做任何改动 Closes #269
1033 lines
40 KiB
Python
1033 lines
40 KiB
Python
import math
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import json
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import os.path
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import re
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import traceback
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from os import path
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from loguru import logger
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from app.config import config
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from app.config.audio_config import AudioConfig, get_recommended_volumes_for_content
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from app.models import const
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from app.models.schema import VideoClipParams
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from app.services import (
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voice,
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audio_merger,
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subtitle_merger,
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clip_video,
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merger_video,
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update_script,
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generate_video,
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script_subtitle,
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sonilo,
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)
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from app.services import state as sm
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from app.utils import utils
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VIDEO_GENERATION_TOTAL_STEPS = 6
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def _update_video_generation_task(
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task_id: str,
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progress: int,
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message: str,
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step_current: int = 0,
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ffmpeg_progress: float | None = None,
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state: int = const.TASK_STATE_PROCESSING,
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**kwargs,
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) -> None:
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task_fields = {
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"message": message,
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"step_current": step_current,
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"step_total": VIDEO_GENERATION_TOTAL_STEPS,
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**kwargs,
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}
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if ffmpeg_progress is not None:
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task_fields["ffmpeg_progress"] = round(
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max(0.0, min(100.0, float(ffmpeg_progress))),
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1,
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)
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sm.state.update_task(
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task_id,
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state=state,
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progress=progress,
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**task_fields,
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)
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def _is_auto_transcription_enabled(params: VideoClipParams) -> bool:
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return bool(
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getattr(params, "subtitle_enabled", True)
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and getattr(params, "subtitle_auto_transcribe_enabled", False)
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)
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def _get_auto_transcription_backend(params: VideoClipParams) -> str:
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backend = str(getattr(params, "subtitle_auto_transcribe_backend", "") or "").strip().lower()
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if backend not in {"local", "firered", "bailian"}:
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backend = "local"
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return backend
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def _get_original_subtitle_paths(params: VideoClipParams) -> list[str]:
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subtitle_paths = getattr(params, "original_subtitle_paths", []) or []
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if isinstance(subtitle_paths, str):
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subtitle_paths = [subtitle_paths]
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normalized_paths = []
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seen = set()
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for subtitle_path in subtitle_paths:
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if not isinstance(subtitle_path, str):
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continue
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subtitle_path = subtitle_path.strip()
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if subtitle_path and subtitle_path not in seen:
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normalized_paths.append(subtitle_path)
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seen.add(subtitle_path)
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single_subtitle_path = str(getattr(params, "original_subtitle_path", "") or "").strip()
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if single_subtitle_path and single_subtitle_path not in seen:
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normalized_paths.insert(0, single_subtitle_path)
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if not normalized_paths:
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normalized_paths = _find_original_subtitle_paths_for_videos(_get_video_origin_paths(params))
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return normalized_paths
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def _get_video_origin_paths(params: VideoClipParams) -> list[str]:
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video_paths = getattr(params, "video_origin_paths", []) or []
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if isinstance(video_paths, str):
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video_paths = [video_paths]
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normalized_paths = []
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seen = set()
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for video_path in video_paths:
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if not isinstance(video_path, str):
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continue
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video_path = video_path.strip()
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if video_path and video_path not in seen:
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normalized_paths.append(video_path)
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seen.add(video_path)
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single_video_path = str(getattr(params, "video_origin_path", "") or "").strip()
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if single_video_path and single_video_path not in seen:
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normalized_paths.insert(0, single_video_path)
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return normalized_paths
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def _video_stem_candidates(video_path: str) -> list[str]:
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stem = path.splitext(path.basename(str(video_path or "").strip()))[0]
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if not stem:
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return []
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candidates = [stem]
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timestamp_stripped = re.sub(r"_[0-9]{14}$", "", stem)
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if timestamp_stripped and timestamp_stripped not in candidates:
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candidates.append(timestamp_stripped)
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return candidates
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def _find_original_subtitle_paths_for_videos(video_paths: list[str]) -> list[str]:
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subtitle_dir = utils.subtitle_dir()
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if not path.isdir(subtitle_dir):
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return []
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subtitle_files = [
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path.join(subtitle_dir, filename)
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for filename in os.listdir(subtitle_dir)
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if filename.lower().endswith(".srt")
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]
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if not subtitle_files:
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return []
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resolved_paths = []
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seen = set()
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for video_path in video_paths:
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candidates = _video_stem_candidates(video_path)
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if not candidates:
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continue
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matches = []
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for subtitle_path in subtitle_files:
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subtitle_stem = path.splitext(path.basename(subtitle_path))[0]
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for candidate in candidates:
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if subtitle_stem == candidate or subtitle_stem.startswith(f"{candidate}_"):
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matches.append(subtitle_path)
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break
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if not matches:
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continue
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matches.sort(key=lambda item: path.getmtime(item), reverse=True)
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selected_path = matches[0]
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if selected_path not in seen:
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resolved_paths.append(selected_path)
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seen.add(selected_path)
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if resolved_paths:
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logger.info(f"未从参数获取原片字幕，已按视频文件名自动匹配: {resolved_paths}")
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return resolved_paths
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def _create_programmatic_subtitle_file(
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task_id: str,
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list_script: list[dict],
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params: VideoClipParams,
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) -> str:
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if not getattr(params, "subtitle_enabled", True):
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return ""
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original_subtitle_paths = _get_original_subtitle_paths(params)
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logger.info(f"程序化字幕使用原片字幕路径: {original_subtitle_paths or '未提供'}")
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return script_subtitle.create_script_subtitle_file(
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task_id=task_id,
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list_script=list_script,
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original_subtitle_paths=original_subtitle_paths,
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video_origin_paths=_get_video_origin_paths(params),
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)
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def _build_subtitle_mask_options(params: VideoClipParams, enabled=None) -> dict:
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mask_configured = bool(
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getattr(params, "subtitle_enabled", True)
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and getattr(params, "subtitle_mask_enabled", False)
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)
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mask_enabled = mask_configured if enabled is None else mask_configured and enabled
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return {
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'subtitle_mask_enabled': mask_enabled,
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'subtitle_mask_landscape_x_percent': getattr(params, "subtitle_mask_landscape_x_percent", 10.0),
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'subtitle_mask_landscape_y_percent': getattr(params, "subtitle_mask_landscape_y_percent", 78.0),
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'subtitle_mask_landscape_width_percent': getattr(params, "subtitle_mask_landscape_width_percent", 80.0),
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'subtitle_mask_landscape_height_percent': getattr(params, "subtitle_mask_landscape_height_percent", 14.0),
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'subtitle_mask_landscape_blur_radius': getattr(params, "subtitle_mask_landscape_blur_radius", 18),
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'subtitle_mask_landscape_opacity_percent': getattr(params, "subtitle_mask_landscape_opacity_percent", 82),
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'subtitle_mask_portrait_x_percent': getattr(params, "subtitle_mask_portrait_x_percent", 8.0),
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'subtitle_mask_portrait_y_percent': getattr(params, "subtitle_mask_portrait_y_percent", 79.0),
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'subtitle_mask_portrait_width_percent': getattr(params, "subtitle_mask_portrait_width_percent", 84.0),
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'subtitle_mask_portrait_height_percent': getattr(params, "subtitle_mask_portrait_height_percent", 16.0),
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'subtitle_mask_portrait_blur_radius': getattr(params, "subtitle_mask_portrait_blur_radius", 26),
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'subtitle_mask_portrait_opacity_percent': getattr(params, "subtitle_mask_portrait_opacity_percent", 84),
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'subtitle_position_landscape_y_percent': getattr(params, "subtitle_position_landscape_y_percent", 85.0),
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'subtitle_position_portrait_y_percent': getattr(params, "subtitle_position_portrait_y_percent", 82.0),
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}
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def _resolve_bgm_path(task_id: str, params: VideoClipParams, combined_video_path: str) -> str:
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"""解析最终合成使用的背景音乐文件路径。
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bgm_type 为 "sonilo" 时（可选功能，默认关闭），将合并后的成片上传到
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Sonilo API 生成配乐；任何失败都只记录日志并回退到现有的随机背景音乐
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逻辑，绝不中断成片任务。其余 bgm_type 走原有逻辑，保持不变。
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"""
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if getattr(params, "bgm_type", "") == "sonilo":
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save_path = path.join(utils.task_dir(task_id), "sonilo_bgm.m4a")
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bgm_path = sonilo.generate_bgm(combined_video_path, save_path)
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if bgm_path:
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return bgm_path
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logger.warning("Sonilo 配乐不可用，回退到随机背景音乐")
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return utils.get_bgm_file(bgm_type="random", bgm_file="")
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return utils.get_bgm_file(
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bgm_type=getattr(params, "bgm_type", "random"),
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bgm_file=getattr(params, "bgm_file", ""),
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)
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def _transcribe_final_video(task_id: str, video_path: str, params: VideoClipParams) -> str:
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"""Transcribe the fully merged video into an SRT file."""
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from app.services import fun_asr_subtitle
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if not video_path or not path.exists(video_path):
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raise FileNotFoundError(f"自动转录视频不存在: {video_path}")
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backend = _get_auto_transcription_backend(params)
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subtitle_file = path.join(utils.task_dir(task_id), "auto_transcribed_final.srt")
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logger.info(f"开始自动转录最终视频: {video_path}, backend={backend}")
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if backend == "local":
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api_url = str(
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getattr(params, "subtitle_auto_transcribe_api_url", "")
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or config.fun_asr.get("api_url", fun_asr_subtitle.LOCAL_FUN_ASR_API_URL)
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).strip()
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if not api_url:
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raise ValueError("请先输入本地 FunASR-Pack API 地址")
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generated_path = fun_asr_subtitle.create_with_local_fun_asr(
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local_file=video_path,
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subtitle_file=subtitle_file,
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api_url=api_url,
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hotword=str(getattr(params, "subtitle_auto_transcribe_hotword", "") or "").strip(),
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enable_spk=bool(getattr(params, "subtitle_auto_transcribe_enable_spk", False)),
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)
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elif backend == "firered":
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api_url = str(
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getattr(params, "subtitle_auto_transcribe_firered_api_url", "")
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or config.fun_asr.get("firered_api_url", fun_asr_subtitle.LOCAL_FIRERED_ASR_API_URL)
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).strip()
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if not api_url:
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raise ValueError("请先输入本地ASR API 地址")
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generated_path = fun_asr_subtitle.create_with_local_firered_asr(
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local_file=video_path,
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subtitle_file=subtitle_file,
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api_url=api_url,
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)
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else:
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api_key = str(
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getattr(params, "subtitle_auto_transcribe_api_key", "")
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or config.fun_asr.get("api_key", "")
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).strip()
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if not api_key:
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raise ValueError("请先输入阿里百炼 API Key")
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generated_path = fun_asr_subtitle.create_with_fun_asr(
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local_file=video_path,
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subtitle_file=subtitle_file,
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api_key=api_key,
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)
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if not generated_path or not path.exists(generated_path):
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raise RuntimeError("自动转录失败：未生成字幕文件")
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logger.info(f"自动转录字幕生成成功: {generated_path}")
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return generated_path
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def _merge_auto_transcribed_subtitles(
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source_video_path: str,
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output_video_path: str,
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subtitle_path: str,
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params: VideoClipParams,
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) -> str:
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subtitle_options = {
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'voice_volume': 1.0,
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'bgm_volume': 0.0,
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'original_audio_volume': 1.0,
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'keep_original_audio': True,
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'subtitle_enabled': True,
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'subtitle_font': params.font_name,
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'subtitle_font_size': params.font_size,
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'subtitle_color': params.text_fore_color,
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'subtitle_bg_color': None,
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'subtitle_position': params.subtitle_position,
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'custom_position': params.custom_position,
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'threads': params.n_threads,
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**_build_subtitle_mask_options(params, enabled=True),
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}
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return generate_video.merge_materials(
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video_path=source_video_path,
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audio_path="",
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subtitle_path=subtitle_path,
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bgm_path="",
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output_path=output_video_path,
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options=subtitle_options
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)
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def start_subclip(task_id: str, params: VideoClipParams, subclip_path_videos: dict = None):
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"""
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后台任务（统一视频裁剪处理）- 优化版本
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实施基于OST类型的统一视频裁剪策略，消除双重裁剪问题：
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- OST=0: 根据TTS音频时长动态裁剪，移除原声
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- OST=1: 严格按照脚本timestamp精确裁剪，保持原声
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- OST=2: 根据TTS音频时长动态裁剪，保持原声
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Args:
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task_id: 任务ID
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params: 视频参数
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subclip_path_videos: 视频片段路径（可选，仅作为备用方案）
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"""
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global merged_audio_path, merged_subtitle_path
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logger.info(f"\n\n## 开始任务: {task_id}")
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sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=0)
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"""
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1. 加载剪辑脚本
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"""
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logger.info("\n\n## 1. 加载视频脚本")
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video_script_path = path.join(params.video_clip_json_path)
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if path.exists(video_script_path):
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try:
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with open(video_script_path, "r", encoding="utf-8") as f:
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list_script = json.load(f)
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video_list = [i['narration'] for i in list_script]
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video_ost = [i['OST'] for i in list_script]
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time_list = [i['timestamp'] for i in list_script]
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video_script = " ".join(video_list)
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logger.debug(f"解说完整脚本: \n{video_script}")
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logger.debug(f"解说 OST 列表: \n{video_ost}")
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logger.debug(f"解说时间戳列表: \n{time_list}")
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except Exception as e:
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logger.error(f"无法读取视频json脚本，请检查脚本格式是否正确")
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raise ValueError("无法读取视频json脚本，请检查脚本格式是否正确")
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else:
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logger.error(f"解说脚本文件不存在: {video_script_path}，请先点击【保存脚本】按钮保存脚本后再生成视频")
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raise ValueError("解说脚本文件不存在！请先点击【保存脚本】按钮保存脚本后再生成视频。")
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"""
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2. 使用 TTS 生成音频素材
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"""
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logger.info("\n\n## 2. 根据OST设置生成音频列表")
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# 只为OST=0 or 2的判断生成音频， OST=0 仅保留解说 OST=2 保留解说和原声
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tts_segments = [
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segment for segment in list_script
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if segment['OST'] in [0, 2]
|
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]
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logger.debug(f"需要生成TTS的片段数: {len(tts_segments)}")
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tts_results = voice.tts_multiple(
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task_id=task_id,
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list_script=tts_segments, # 只传入需要TTS的片段
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||
tts_engine=params.tts_engine,
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||
voice_name=params.voice_name,
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||
voice_rate=params.voice_rate,
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||
voice_pitch=params.voice_pitch,
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||
)
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|
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sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=20)
|
||
|
||
# """
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||
# 3. (可选) 使用 whisper 生成字幕
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||
# """
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||
# if merged_subtitle_path is None:
|
||
# if audio_files:
|
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# merged_subtitle_path = path.join(utils.task_dir(task_id), f"subtitle.srt")
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# subtitle_provider = config.app.get("subtitle_provider", "").strip().lower()
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# logger.info(f"\n\n使用 {subtitle_provider} 生成字幕")
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#
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||
# subtitle.create(
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||
# audio_file=merged_audio_path,
|
||
# subtitle_file=merged_subtitle_path,
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||
# )
|
||
# subtitle_lines = subtitle.file_to_subtitles(merged_subtitle_path)
|
||
# if not subtitle_lines:
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||
# logger.warning(f"字幕文件无效: {merged_subtitle_path}")
|
||
#
|
||
# sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=40)
|
||
|
||
"""
|
||
3. 统一视频裁剪 - 基于OST类型的差异化裁剪策略
|
||
"""
|
||
logger.info("\n\n## 3. 统一视频裁剪（基于OST类型）")
|
||
|
||
# 使用新的统一裁剪策略
|
||
video_clip_result = clip_video.clip_video_unified(
|
||
video_origin_path=params.video_origin_path,
|
||
video_origin_paths=getattr(params, "video_origin_paths", []),
|
||
script_list=list_script,
|
||
tts_results=tts_results
|
||
)
|
||
|
||
# 更新 list_script 中的时间戳和路径信息
|
||
tts_clip_result = {tts_result['_id']: tts_result['audio_file'] for tts_result in tts_results}
|
||
subclip_clip_result = {
|
||
tts_result['_id']: tts_result['subtitle_file'] for tts_result in tts_results
|
||
}
|
||
new_script_list = update_script.update_script_timestamps(list_script, video_clip_result, tts_clip_result, subclip_clip_result)
|
||
|
||
logger.info(f"统一裁剪完成，处理了 {len(video_clip_result)} 个视频片段")
|
||
|
||
sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=60)
|
||
|
||
"""
|
||
4. 合并音频和字幕
|
||
"""
|
||
logger.info("\n\n## 4. 合并音频和字幕")
|
||
total_duration = sum([script["duration"] for script in new_script_list])
|
||
if tts_segments:
|
||
try:
|
||
# 合并音频文件
|
||
merged_audio_path = audio_merger.merge_audio_files(
|
||
task_id=task_id,
|
||
total_duration=total_duration,
|
||
list_script=new_script_list
|
||
)
|
||
logger.info(f"音频文件合并成功->{merged_audio_path}")
|
||
|
||
# 合并字幕文件
|
||
merged_subtitle_path = ""
|
||
if getattr(params, "subtitle_enabled", True):
|
||
try:
|
||
merged_subtitle_path = _create_programmatic_subtitle_file(
|
||
task_id,
|
||
new_script_list,
|
||
params,
|
||
)
|
||
except Exception as e:
|
||
logger.warning(f"程序化字幕生成失败，将尝试合并TTS字幕: {e}")
|
||
|
||
if not merged_subtitle_path and getattr(params, "subtitle_enabled", True):
|
||
merged_subtitle_path = subtitle_merger.merge_subtitle_files(new_script_list)
|
||
if merged_subtitle_path:
|
||
logger.info(f"字幕文件合并成功->{merged_subtitle_path}")
|
||
else:
|
||
logger.warning("没有有效的字幕内容，将生成无字幕视频")
|
||
merged_subtitle_path = ""
|
||
except Exception as e:
|
||
logger.error(f"合并音频/字幕文件失败: {str(e)}")
|
||
# 确保即使合并失败也有默认值
|
||
if 'merged_audio_path' not in locals():
|
||
merged_audio_path = ""
|
||
if 'merged_subtitle_path' not in locals():
|
||
merged_subtitle_path = ""
|
||
else:
|
||
logger.warning("没有需要合并的音频/字幕")
|
||
merged_audio_path = ""
|
||
merged_subtitle_path = ""
|
||
if getattr(params, "subtitle_enabled", True):
|
||
try:
|
||
merged_subtitle_path = _create_programmatic_subtitle_file(
|
||
task_id,
|
||
new_script_list,
|
||
params,
|
||
)
|
||
except Exception as e:
|
||
logger.warning(f"程序化字幕生成失败: {e}")
|
||
|
||
"""
|
||
5. 合并视频
|
||
"""
|
||
final_video_paths = []
|
||
combined_video_paths = []
|
||
|
||
combined_video_path = path.join(utils.task_dir(task_id), f"merger.mp4")
|
||
logger.info(f"\n\n## 5. 合并视频: => {combined_video_path}")
|
||
|
||
# 使用统一裁剪后的视频片段
|
||
video_clips = []
|
||
for new_script in new_script_list:
|
||
video_path = new_script.get('video')
|
||
if video_path and os.path.exists(video_path):
|
||
video_clips.append(video_path)
|
||
else:
|
||
logger.warning(f"片段 {new_script.get('_id')} 的视频文件不存在或未生成: {video_path}")
|
||
# 如果统一裁剪失败，尝试使用备用方案（如果提供了subclip_path_videos）
|
||
if subclip_path_videos and new_script.get('_id') in subclip_path_videos:
|
||
backup_video = subclip_path_videos[new_script.get('_id')]
|
||
if os.path.exists(backup_video):
|
||
video_clips.append(backup_video)
|
||
logger.info(f"使用备用视频: {backup_video}")
|
||
else:
|
||
logger.error(f"备用视频也不存在: {backup_video}")
|
||
else:
|
||
logger.error(f"无法找到片段 {new_script.get('_id')} 的视频文件")
|
||
|
||
logger.info(f"准备合并 {len(video_clips)} 个视频片段")
|
||
|
||
merger_video.combine_clip_videos(
|
||
output_video_path=combined_video_path,
|
||
video_paths=video_clips,
|
||
video_ost_list=video_ost,
|
||
video_aspect=params.video_aspect,
|
||
threads=params.n_threads
|
||
)
|
||
sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=80)
|
||
|
||
"""
|
||
6. 合并字幕/BGM/配音/视频
|
||
"""
|
||
output_video_path = path.join(utils.task_dir(task_id), f"combined.mp4")
|
||
auto_transcription_enabled = _is_auto_transcription_enabled(params)
|
||
merge_output_video_path = (
|
||
path.join(utils.task_dir(task_id), "combined_without_auto_subtitles.mp4")
|
||
if auto_transcription_enabled
|
||
else output_video_path
|
||
)
|
||
logger.info(f"\n\n## 6. 最后一步: 合并字幕/BGM/配音/视频 -> {merge_output_video_path}")
|
||
|
||
# bgm_path = '/Users/apple/Desktop/home/NarratoAI/resource/songs/bgm.mp3'
|
||
bgm_path = _resolve_bgm_path(task_id, params, combined_video_path)
|
||
|
||
# 获取优化的音量配置
|
||
optimized_volumes = get_recommended_volumes_for_content('mixed')
|
||
|
||
# 检查是否有OST=1的原声片段，如果有，则保持原声音量为1.0不变
|
||
has_original_audio_segments = any(segment['OST'] == 1 for segment in list_script)
|
||
|
||
# 应用用户设置和优化建议的组合
|
||
# 如果用户设置了非默认值，优先使用用户设置
|
||
final_tts_volume = params.tts_volume if hasattr(params, 'tts_volume') and params.tts_volume != 1.0 else optimized_volumes['tts_volume']
|
||
|
||
# 关键修复：如果有原声片段，保持原声音量为1.0，确保与原视频音量一致
|
||
if has_original_audio_segments:
|
||
final_original_volume = 1.0 # 保持原声音量不变
|
||
logger.info("检测到原声片段，原声音量设置为1.0以保持与原视频一致")
|
||
else:
|
||
final_original_volume = params.original_volume if hasattr(params, 'original_volume') and params.original_volume != 0.7 else optimized_volumes['original_volume']
|
||
|
||
final_bgm_volume = params.bgm_volume if hasattr(params, 'bgm_volume') and params.bgm_volume != 0.3 else optimized_volumes['bgm_volume']
|
||
|
||
logger.info(f"音量配置 - TTS: {final_tts_volume}, 原声: {final_original_volume}, BGM: {final_bgm_volume}")
|
||
|
||
# 调用示例
|
||
options = {
|
||
'voice_volume': final_tts_volume, # 配音音量（优化后）
|
||
'bgm_volume': final_bgm_volume, # 背景音乐音量（优化后）
|
||
'original_audio_volume': final_original_volume, # 视频原声音量（优化后）
|
||
'keep_original_audio': True, # 是否保留原声
|
||
'subtitle_enabled': params.subtitle_enabled and not auto_transcription_enabled,
|
||
'subtitle_font': params.font_name, # 这里使用相对字体路径，会自动在 font_dir() 目录下查找
|
||
'subtitle_font_size': params.font_size,
|
||
'subtitle_color': params.text_fore_color,
|
||
'subtitle_bg_color': None, # 直接使用None表示透明背景
|
||
'subtitle_position': params.subtitle_position,
|
||
'custom_position': params.custom_position,
|
||
'threads': params.n_threads,
|
||
**_build_subtitle_mask_options(params, enabled=not auto_transcription_enabled),
|
||
}
|
||
generate_video.merge_materials(
|
||
video_path=combined_video_path,
|
||
audio_path=merged_audio_path,
|
||
subtitle_path=merged_subtitle_path,
|
||
bgm_path=bgm_path,
|
||
output_path=merge_output_video_path,
|
||
options=options
|
||
)
|
||
|
||
auto_subtitle_path = ""
|
||
if auto_transcription_enabled:
|
||
sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=90)
|
||
logger.info("\n\n## 7. 自动转录最终视频字幕")
|
||
auto_subtitle_path = _transcribe_final_video(task_id, merge_output_video_path, params)
|
||
sm.state.update_task(task_id, state=const.TASK_STATE_PROCESSING, progress=95)
|
||
logger.info(f"\n\n## 8. 压入自动转录字幕 -> {output_video_path}")
|
||
_merge_auto_transcribed_subtitles(
|
||
source_video_path=merge_output_video_path,
|
||
output_video_path=output_video_path,
|
||
subtitle_path=auto_subtitle_path,
|
||
params=params,
|
||
)
|
||
|
||
final_video_paths.append(output_video_path)
|
||
combined_video_paths.append(combined_video_path)
|
||
|
||
logger.success(f"任务 {task_id} 已完成, 生成 {len(final_video_paths)} 个视频.")
|
||
|
||
kwargs = {
|
||
"videos": final_video_paths,
|
||
"combined_videos": combined_video_paths
|
||
}
|
||
if auto_subtitle_path:
|
||
kwargs["subtitles"] = [auto_subtitle_path]
|
||
sm.state.update_task(task_id, state=const.TASK_STATE_COMPLETE, progress=100, **kwargs)
|
||
return kwargs
|
||
|
||
|
||
def start_subclip_unified(task_id: str, params: VideoClipParams):
|
||
"""
|
||
统一视频裁剪处理函数 - 完全基于OST类型的新实现
|
||
|
||
这是优化后的版本，完全移除了对预裁剪视频的依赖，
|
||
实现真正的统一裁剪策略。
|
||
|
||
Args:
|
||
task_id: 任务ID
|
||
params: 视频参数
|
||
"""
|
||
global merged_audio_path, merged_subtitle_path
|
||
|
||
logger.info(f"\n\n## 开始统一视频处理任务: {task_id}")
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=0,
|
||
message="正在初始化视频生成任务",
|
||
step_current=0,
|
||
)
|
||
|
||
"""
|
||
1. 加载剪辑脚本
|
||
"""
|
||
logger.info("\n\n## 1. 加载视频脚本")
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=5,
|
||
message="正在加载剪辑脚本",
|
||
step_current=1,
|
||
)
|
||
video_script_path = path.join(params.video_clip_json_path)
|
||
|
||
if path.exists(video_script_path):
|
||
try:
|
||
with open(video_script_path, "r", encoding="utf-8") as f:
|
||
list_script = json.load(f)
|
||
video_list = [i['narration'] for i in list_script]
|
||
video_ost = [i['OST'] for i in list_script]
|
||
time_list = [i['timestamp'] for i in list_script]
|
||
|
||
video_script = " ".join(video_list)
|
||
logger.debug(f"解说完整脚本: \n{video_script}")
|
||
logger.debug(f"解说 OST 列表: \n{video_ost}")
|
||
logger.debug(f"解说时间戳列表: \n{time_list}")
|
||
except Exception as e:
|
||
logger.error(f"无法读取视频json脚本，请检查脚本格式是否正确")
|
||
raise ValueError("无法读取视频json脚本，请检查脚本格式是否正确")
|
||
else:
|
||
logger.error(f"解说脚本文件不存在: {video_script_path}，请先点击【保存脚本】按钮保存脚本后再生成视频")
|
||
raise ValueError("解说脚本文件不存在！请先点击【保存脚本】按钮保存脚本后再生成视频。")
|
||
|
||
"""
|
||
2. 使用 TTS 生成音频素材
|
||
"""
|
||
logger.info("\n\n## 2. 根据OST设置生成音频列表")
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=10,
|
||
message="正在生成 TTS 配音",
|
||
step_current=2,
|
||
)
|
||
# 只为OST=0 or 2的判断生成音频， OST=0 仅保留解说 OST=2 保留解说和原声
|
||
tts_segments = [
|
||
segment for segment in list_script
|
||
if segment['OST'] in [0, 2]
|
||
]
|
||
logger.debug(f"需要生成TTS的片段数: {len(tts_segments)}")
|
||
|
||
tts_results = voice.tts_multiple(
|
||
task_id=task_id,
|
||
list_script=tts_segments, # 只传入需要TTS的片段
|
||
tts_engine=params.tts_engine,
|
||
voice_name=params.voice_name,
|
||
voice_rate=params.voice_rate,
|
||
voice_pitch=params.voice_pitch,
|
||
)
|
||
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=20,
|
||
message="TTS 配音生成完成",
|
||
step_current=2,
|
||
)
|
||
|
||
"""
|
||
3. 统一视频裁剪 - 基于OST类型的差异化裁剪策略
|
||
"""
|
||
logger.info("\n\n## 3. 统一视频裁剪（基于OST类型）")
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=30,
|
||
message="正在按脚本裁剪视频片段",
|
||
step_current=3,
|
||
)
|
||
|
||
# 使用新的统一裁剪策略
|
||
video_clip_result = clip_video.clip_video_unified(
|
||
video_origin_path=params.video_origin_path,
|
||
video_origin_paths=getattr(params, "video_origin_paths", []),
|
||
script_list=list_script,
|
||
tts_results=tts_results
|
||
)
|
||
|
||
# 更新 list_script 中的时间戳和路径信息
|
||
tts_clip_result = {tts_result['_id']: tts_result['audio_file'] for tts_result in tts_results}
|
||
subclip_clip_result = {
|
||
tts_result['_id']: tts_result['subtitle_file'] for tts_result in tts_results
|
||
}
|
||
new_script_list = update_script.update_script_timestamps(list_script, video_clip_result, tts_clip_result, subclip_clip_result)
|
||
|
||
logger.info(f"统一裁剪完成，处理了 {len(video_clip_result)} 个视频片段")
|
||
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=60,
|
||
message="视频片段裁剪完成",
|
||
step_current=3,
|
||
)
|
||
|
||
"""
|
||
4. 合并音频和字幕
|
||
"""
|
||
logger.info("\n\n## 4. 合并音频和字幕")
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=65,
|
||
message="正在合并配音和字幕",
|
||
step_current=4,
|
||
)
|
||
total_duration = sum([script["duration"] for script in new_script_list])
|
||
if tts_segments:
|
||
try:
|
||
# 合并音频文件
|
||
merged_audio_path = audio_merger.merge_audio_files(
|
||
task_id=task_id,
|
||
total_duration=total_duration,
|
||
list_script=new_script_list
|
||
)
|
||
logger.info(f"音频文件合并成功->{merged_audio_path}")
|
||
|
||
# 优先基于脚本文案和成片时间线生成字幕，失败时回退到TTS字幕合并
|
||
merged_subtitle_path = ""
|
||
if getattr(params, "subtitle_enabled", True):
|
||
try:
|
||
merged_subtitle_path = _create_programmatic_subtitle_file(
|
||
task_id,
|
||
new_script_list,
|
||
params,
|
||
)
|
||
except Exception as e:
|
||
logger.warning(f"程序化字幕生成失败，将尝试合并TTS字幕: {e}")
|
||
|
||
if not merged_subtitle_path and getattr(params, "subtitle_enabled", True):
|
||
merged_subtitle_path = subtitle_merger.merge_subtitle_files(new_script_list)
|
||
|
||
if merged_subtitle_path:
|
||
logger.info(f"字幕文件合并成功->{merged_subtitle_path}")
|
||
else:
|
||
logger.warning("没有有效的字幕内容，将生成无字幕视频")
|
||
merged_subtitle_path = ""
|
||
except Exception as e:
|
||
logger.error(f"合并音频/字幕文件失败: {str(e)}")
|
||
# 确保即使合并失败也有默认值
|
||
if 'merged_audio_path' not in locals():
|
||
merged_audio_path = ""
|
||
if 'merged_subtitle_path' not in locals():
|
||
merged_subtitle_path = ""
|
||
else:
|
||
logger.warning("没有需要合并的音频/字幕")
|
||
merged_audio_path = ""
|
||
merged_subtitle_path = ""
|
||
if getattr(params, "subtitle_enabled", True):
|
||
try:
|
||
merged_subtitle_path = _create_programmatic_subtitle_file(
|
||
task_id,
|
||
new_script_list,
|
||
params,
|
||
)
|
||
except Exception as e:
|
||
logger.warning(f"程序化字幕生成失败: {e}")
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=70,
|
||
message="配音和字幕合并完成",
|
||
step_current=4,
|
||
)
|
||
|
||
"""
|
||
5. 合并视频
|
||
"""
|
||
final_video_paths = []
|
||
combined_video_paths = []
|
||
|
||
combined_video_path = path.join(utils.task_dir(task_id), f"merger.mp4")
|
||
logger.info(f"\n\n## 5. 合并视频: => {combined_video_path}")
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=75,
|
||
message="正在合并视频片段",
|
||
step_current=5,
|
||
)
|
||
|
||
# 使用统一裁剪后的视频片段
|
||
video_clips = []
|
||
for new_script in new_script_list:
|
||
video_path = new_script.get('video')
|
||
if video_path and os.path.exists(video_path):
|
||
video_clips.append(video_path)
|
||
else:
|
||
logger.error(f"片段 {new_script.get('_id')} 的视频文件不存在: {video_path}")
|
||
|
||
logger.info(f"准备合并 {len(video_clips)} 个视频片段")
|
||
|
||
merger_video.combine_clip_videos(
|
||
output_video_path=combined_video_path,
|
||
video_paths=video_clips,
|
||
video_ost_list=video_ost,
|
||
video_aspect=params.video_aspect,
|
||
threads=params.n_threads
|
||
)
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=80,
|
||
message="视频片段合并完成",
|
||
step_current=5,
|
||
)
|
||
|
||
"""
|
||
6. 合并字幕/BGM/配音/视频
|
||
"""
|
||
output_video_path = path.join(utils.task_dir(task_id), f"combined.mp4")
|
||
auto_transcription_enabled = _is_auto_transcription_enabled(params) and not bool(merged_subtitle_path)
|
||
if _is_auto_transcription_enabled(params) and merged_subtitle_path:
|
||
logger.info("已生成字幕文件，跳过最终视频自动转录")
|
||
merge_output_video_path = (
|
||
path.join(utils.task_dir(task_id), "combined_without_auto_subtitles.mp4")
|
||
if auto_transcription_enabled
|
||
else output_video_path
|
||
)
|
||
logger.info(f"\n\n## 6. 最后一步: 合并字幕/BGM/配音/视频 -> {merge_output_video_path}")
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=85,
|
||
message="正在合成最终视频",
|
||
step_current=6,
|
||
ffmpeg_progress=0,
|
||
)
|
||
|
||
bgm_path = _resolve_bgm_path(task_id, params, combined_video_path)
|
||
|
||
# 获取优化的音量配置
|
||
optimized_volumes = get_recommended_volumes_for_content('mixed')
|
||
|
||
# 检查是否有OST=1的原声片段，如果有，则保持原声音量为1.0不变
|
||
has_original_audio_segments = any(segment['OST'] == 1 for segment in list_script)
|
||
|
||
# 应用用户设置和优化建议的组合
|
||
final_tts_volume = params.tts_volume if hasattr(params, 'tts_volume') and params.tts_volume != 1.0 else optimized_volumes['tts_volume']
|
||
|
||
# 关键修复：如果有原声片段，保持原声音量为1.0，确保与原视频音量一致
|
||
if has_original_audio_segments:
|
||
final_original_volume = 1.0 # 保持原声音量不变
|
||
logger.info("检测到原声片段，原声音量设置为1.0以保持与原视频一致")
|
||
else:
|
||
final_original_volume = params.original_volume if hasattr(params, 'original_volume') and params.original_volume != 0.7 else optimized_volumes['original_volume']
|
||
|
||
final_bgm_volume = params.bgm_volume if hasattr(params, 'bgm_volume') and params.bgm_volume != 0.3 else optimized_volumes['bgm_volume']
|
||
|
||
logger.info(f"音量配置 - TTS: {final_tts_volume}, 原声: {final_original_volume}, BGM: {final_bgm_volume}")
|
||
|
||
# 调用示例
|
||
options = {
|
||
'voice_volume': final_tts_volume,
|
||
'bgm_volume': final_bgm_volume,
|
||
'original_audio_volume': final_original_volume,
|
||
'keep_original_audio': True,
|
||
'subtitle_enabled': params.subtitle_enabled and not auto_transcription_enabled,
|
||
'subtitle_font': params.font_name,
|
||
'subtitle_font_size': params.font_size,
|
||
'subtitle_color': params.text_fore_color,
|
||
'subtitle_bg_color': None,
|
||
'subtitle_position': params.subtitle_position,
|
||
'custom_position': params.custom_position,
|
||
'threads': params.n_threads,
|
||
**_build_subtitle_mask_options(params, enabled=not auto_transcription_enabled),
|
||
}
|
||
final_merge_progress_start = 85
|
||
final_merge_progress_end = 89 if auto_transcription_enabled else 99
|
||
|
||
def update_final_merge_progress(ffmpeg_progress: float):
|
||
progress_span = final_merge_progress_end - final_merge_progress_start
|
||
overall_progress = final_merge_progress_start + int(
|
||
round((max(0.0, min(100.0, float(ffmpeg_progress))) / 100) * progress_span)
|
||
)
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=overall_progress,
|
||
message="正在合成最终视频",
|
||
step_current=6,
|
||
ffmpeg_progress=ffmpeg_progress,
|
||
)
|
||
|
||
generate_video.merge_materials(
|
||
video_path=combined_video_path,
|
||
audio_path=merged_audio_path,
|
||
subtitle_path=merged_subtitle_path,
|
||
bgm_path=bgm_path,
|
||
output_path=merge_output_video_path,
|
||
options=options,
|
||
progress_callback=update_final_merge_progress,
|
||
)
|
||
|
||
auto_subtitle_path = ""
|
||
if auto_transcription_enabled:
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=90,
|
||
message="正在自动转录最终视频",
|
||
step_current=6,
|
||
)
|
||
logger.info("\n\n## 7. 自动转录最终视频字幕")
|
||
auto_subtitle_path = _transcribe_final_video(task_id, merge_output_video_path, params)
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=95,
|
||
message="正在压入自动转录字幕",
|
||
step_current=6,
|
||
)
|
||
logger.info(f"\n\n## 8. 压入自动转录字幕 -> {output_video_path}")
|
||
_merge_auto_transcribed_subtitles(
|
||
source_video_path=merge_output_video_path,
|
||
output_video_path=output_video_path,
|
||
subtitle_path=auto_subtitle_path,
|
||
params=params,
|
||
)
|
||
|
||
final_video_paths.append(output_video_path)
|
||
combined_video_paths.append(combined_video_path)
|
||
|
||
logger.success(f"统一处理任务 {task_id} 已完成, 生成 {len(final_video_paths)} 个视频.")
|
||
|
||
kwargs = {
|
||
"videos": final_video_paths,
|
||
"combined_videos": combined_video_paths
|
||
}
|
||
if auto_subtitle_path:
|
||
kwargs["subtitles"] = [auto_subtitle_path]
|
||
_update_video_generation_task(
|
||
task_id,
|
||
progress=100,
|
||
message="视频生成完成",
|
||
step_current=VIDEO_GENERATION_TOTAL_STEPS,
|
||
state=const.TASK_STATE_COMPLETE,
|
||
**kwargs
|
||
)
|
||
return kwargs
|
||
|
||
|
||
def validate_params(video_path, audio_path, output_file, params):
|
||
"""
|
||
验证输入参数
|
||
Args:
|
||
video_path: 视频文件路径
|
||
audio_path: 音频文件路径（可以为空字符串）
|
||
output_file: 输出文件路径
|
||
params: 视频参数
|
||
|
||
Raises:
|
||
FileNotFoundError: 文件不存在时抛出
|
||
ValueError: 参数无效时抛出
|
||
"""
|
||
if not video_path:
|
||
raise ValueError("视频路径不能为空")
|
||
if not os.path.exists(video_path):
|
||
raise FileNotFoundError(f"视频文件不存在: {video_path}")
|
||
|
||
# 如果提供了音频路径，则验证文件是否存在
|
||
if audio_path and not os.path.exists(audio_path):
|
||
raise FileNotFoundError(f"音频文件不存在: {audio_path}")
|
||
|
||
if not output_file:
|
||
raise ValueError("输出文件路径不能为空")
|
||
|
||
# 确保输出目录存在
|
||
output_dir = os.path.dirname(output_file)
|
||
if not os.path.exists(output_dir):
|
||
os.makedirs(output_dir)
|
||
|
||
if not params:
|
||
raise ValueError("视频参数不能为空")
|
||
|
||
|
||
if __name__ == "__main__":
|
||
task_id = "demo"
|
||
|
||
# 提前裁剪是为了方便检查视频
|
||
subclip_path_videos = {
|
||
1: '/Users/apple/Desktop/home/NarratoAI/storage/temp/clip_video/113343d127b5a09d0bf84b68bd1b3b97/vid_00-00-05-390@00-00-57-980.mp4',
|
||
2: '/Users/apple/Desktop/home/NarratoAI/storage/temp/clip_video/113343d127b5a09d0bf84b68bd1b3b97/vid_00-00-28-900@00-00-43-700.mp4',
|
||
3: '/Users/apple/Desktop/home/NarratoAI/storage/temp/clip_video/113343d127b5a09d0bf84b68bd1b3b97/vid_00-01-17-840@00-01-27-600.mp4',
|
||
4: '/Users/apple/Desktop/home/NarratoAI/storage/temp/clip_video/113343d127b5a09d0bf84b68bd1b3b97/vid_00-02-35-460@00-02-52-380.mp4',
|
||
5: '/Users/apple/Desktop/home/NarratoAI/storage/temp/clip_video/113343d127b5a09d0bf84b68bd1b3b97/vid_00-06-59-520@00-07-29-500.mp4',
|
||
}
|
||
|
||
params = VideoClipParams(
|
||
video_clip_json_path="/Users/apple/Desktop/home/NarratoAI/resource/scripts/2025-0507-223311.json",
|
||
video_origin_path="/Users/apple/Desktop/home/NarratoAI/resource/videos/merged_video_4938.mp4",
|
||
)
|
||
start_subclip(task_id, params, subclip_path_videos)
|