#!/usr/bin/python3 # -*- coding: utf-8 -*- import argparse from collections import defaultdict from pathlib import Path import shutil import pandas as pd from project_settings import project_path def get_args(): parser = argparse.ArgumentParser() parser.add_argument( "--audio_dir", # default=(project_path / "data/analysis/hu-HU").as_posix(), default=r"D:\Users\tianx\HuggingSpaces\cc_audio_8\data\make_analysis_excel\download_wav\20251204", type=str ) parser.add_argument( "--output_dir", # default=(project_path / "data/calling/52").as_posix(), default=r"D:\Users\tianx\HuggingSpaces\cc_audio_8\data\make_analysis_excel\download_wav\20251204\52", type=str ) parser.add_argument( "--output_file", default=r"D:\Users\tianx\HuggingSpaces\cc_audio_8\data\make_analysis_excel\download_wav\20251204\52\readme.xlsx", type=str ) args = parser.parse_args() return args def main(): args = get_args() audio_dir = Path(args.audio_dir) output_dir = Path(args.output_dir) output_dir.mkdir(parents=True, exist_ok=True) output_file = Path(args.output_file) output_file.parent.mkdir(parents=True, exist_ok=True) suffix_count = 0 call_id_to_wav_file_list = defaultdict(list) for filename in audio_dir.glob("*.wav"): splits = filename.stem.split("_") # print(splits) call_id = splits[2] # language = splits[4] # scene_id = splits[5] print(f"call_id: {call_id}") call_id_to_wav_file_list[call_id].append(filename) print(f"count: {len(call_id_to_wav_file_list)}") result = list() for filename in audio_dir.glob("early_media_*.wav"): splits = filename.stem.split("_") # print(splits) call_id = splits[2] print(f"call_id: {call_id}") suffix = f"{suffix_count:03}" tgt_dir = output_dir / suffix tgt_dir.mkdir(parents=True, exist_ok=True) suffix_count += 1 wav_file_list = call_id_to_wav_file_list[call_id] for wav_file in wav_file_list: if wav_file.stem.startswith("active_media"): tgt_filename = tgt_dir / f"active_media_{call_id}.wav" elif wav_file.stem.startswith("early_media"): tgt_filename = tgt_dir / f"early_media_{call_id}.wav" elif wav_file.stem.startswith("active_media"): continue else: raise AssertionError shutil.copy( wav_file.as_posix(), tgt_filename.as_posix(), ) result.append({ "suffix": suffix, "call_id": call_id, }) result = pd.DataFrame(result) result.to_excel( output_file.as_posix(), index=False ) return if __name__ == "__main__": main()