c5d3e83a5f
- Adiciona rastreamento de objetos - Facial detection - Legenda interativa - Cortes mais precisos - Refinamento do Prompt
83 lines
3.1 KiB
Python
83 lines
3.1 KiB
Python
from __future__ import annotations
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import logging
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import shutil
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from dataclasses import dataclass
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from pathlib import Path
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from video_render.config import Settings
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from video_render.ffmpeg import extract_audio_to_wav
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from video_render.utils import ensure_workspace, remove_paths, sanitize_filename
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logger = logging.getLogger(__name__)
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@dataclass
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class VideoWorkspace:
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original_filename: str
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sanitized_name: str
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workspace_dir: Path
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output_dir: Path
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source_path: Path
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working_video_path: Path
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audio_path: Path
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class MediaPreparer:
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def __init__(self, settings: Settings) -> None:
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self.settings = settings
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def prepare(self, filename: str) -> VideoWorkspace:
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source_path = self.settings.videos_dir / filename
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if not source_path.exists():
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raise FileNotFoundError(f"Arquivo de vídeo não encontrado: {source_path}")
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sanitized_name = sanitize_filename(Path(filename).stem)
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workspace_dir = ensure_workspace(self.settings.videos_dir, sanitized_name)
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transcription_json = workspace_dir / "transcription.json"
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transcription_txt = workspace_dir / "transcription.txt"
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temp_transcription_json = None
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temp_transcription_txt = None
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if transcription_json.exists():
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temp_transcription_json = workspace_dir.parent / f".{sanitized_name}_transcription.json.tmp"
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shutil.copy2(transcription_json, temp_transcription_json)
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if transcription_txt.exists():
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temp_transcription_txt = workspace_dir.parent / f".{sanitized_name}_transcription.txt.tmp"
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shutil.copy2(transcription_txt, temp_transcription_txt)
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existing_children = list(workspace_dir.iterdir())
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if existing_children:
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logger.info("Limpando workspace existente para %s", sanitized_name)
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remove_paths(existing_children)
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if temp_transcription_json and temp_transcription_json.exists():
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shutil.move(str(temp_transcription_json), str(transcription_json))
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logger.info("Transcrição preservada em %s", transcription_json)
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if temp_transcription_txt and temp_transcription_txt.exists():
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shutil.move(str(temp_transcription_txt), str(transcription_txt))
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destination_name = f"{sanitized_name}{source_path.suffix.lower()}"
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working_video_path = workspace_dir / destination_name
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shutil.copy2(source_path, working_video_path)
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logger.info("Cópia do vídeo criada em %s", working_video_path)
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output_dir = ensure_workspace(self.settings.outputs_dir, sanitized_name)
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existing_outputs = list(output_dir.iterdir())
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if existing_outputs:
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remove_paths(existing_outputs)
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audio_path = workspace_dir / "audio.wav"
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extract_audio_to_wav(working_video_path, audio_path)
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return VideoWorkspace(
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original_filename=filename,
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sanitized_name=sanitized_name,
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workspace_dir=workspace_dir,
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output_dir=output_dir,
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source_path=source_path,
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working_video_path=working_video_path,
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audio_path=audio_path,
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)
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