Spaces:
Running
Running
# core/data_processing/audio_processor.py | |
import os | |
from typing import List, Dict, Any | |
from utils.logger import logger | |
from pydub import AudioSegment | |
from pydub.silence import split_on_silence | |
from config.settings import settings | |
class AudioProcessor: | |
def __init__(self, min_silence_len: int = 1000, silence_thresh_db: int = -40, target_sr: int = 16000): | |
self.min_silence_len = min_silence_len | |
self.silence_thresh_db = silence_thresh_db | |
self.target_sr = target_sr | |
logger.info(f"AudioProcessor initialized (min_silence_len={min_silence_len}ms, silence_thresh_db={silence_thresh_db}dB).") | |
def process(self, file_path: str) -> List[Dict[str, Any]]: | |
try: | |
logger.info(f"Processing audio file: {file_path}") | |
audio = AudioSegment.from_file(file_path) | |
if audio.frame_rate != self.target_sr: | |
audio = audio.set_frame_rate(self.target_sr) | |
audio_segments = split_on_silence( | |
audio, | |
min_silence_len=self.min_silence_len, | |
silence_thresh=self.silence_thresh_db, | |
keep_silence=500 | |
) | |
chunks = [] | |
audio_chunks_dir = os.path.join(settings.CHUNKS_DIR, "audio") | |
os.makedirs(audio_chunks_dir, exist_ok=True) | |
for i, segment in enumerate(audio_segments): | |
segment_id = f"{os.path.basename(file_path).split('.')[0]}_chunk_audio_{i}" | |
chunk_file_path = os.path.join(audio_chunks_dir, f"{segment_id}.wav") | |
# Save segments into data/processed/chunks | |
segment.export(chunk_file_path, format="wav") | |
metadata = { | |
"source_id": os.path.basename(file_path), | |
"type": "audio", | |
"chunk_id": segment_id, | |
"chunk_data_path": chunk_file_path, | |
"duration_ms": len(segment) | |
} | |
chunks.append({ | |
"content": chunk_file_path, | |
"metadata": metadata | |
}) | |
logger.info(f"Generated {len(chunks)} audio segments from {file_path}") | |
return chunks | |
except FileNotFoundError: | |
logger.error(f"Audio file not found: {file_path}. Please ensure ffmpeg is installed and accessible.") | |
return [] | |
except Exception as e: | |
logger.error(f"Error processing audio file {file_path}: {e}") | |
return [] |