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import argparse |
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from collections import defaultdict |
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from pathlib import Path |
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import shutil |
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import pandas as pd |
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from project_settings import project_path |
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def get_args(): |
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parser = argparse.ArgumentParser() |
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parser.add_argument( |
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"--audio_dir", |
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default=(project_path / "data/analysis/es-MX").as_posix(), |
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type=str |
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) |
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parser.add_argument( |
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"--output_dir", |
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default=(project_path / "data/calling/52").as_posix(), |
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type=str |
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) |
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args = parser.parse_args() |
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return args |
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quantity_to_use = """ |
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bell_and_machine_voice: 6, 6% |
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bell_and_mute: 2, 2% |
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bell_and_mute_1_second_then_voicemail: 1, 1% |
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bell_and_noise: 4, 4% |
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bell_and_noise_mute: 3, 3% |
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bell_and_not_connected: 17, 17% |
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bell_and_voice: 10, 10% |
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bell_and_voicemail: 19, 19% |
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busy_and_not_connected: 11, 11% |
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busy_or_disconnected_or_out_of_coverage_and_not_connected: 1, 1% |
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disconnected_or_out_of_service_and_not_connected: 1, 1% |
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early_media_voicemail_and_custom_voicemail: 16, 16% |
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early_media_voicemail_and_mute_3s_then_voicemail: 5, 5% |
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early_media_voicemail_and_mute_5s_then_voicemail: 1, 1% |
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early_media_voicemail_and_not_connected: 11, 11% |
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early_media_voicemail_and_voicemail: 31, 31% |
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early_media_voicemail_is_full_and_not_connected: 9, 9% |
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music_and_voicemail: 2, 2% |
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mute_and_machine_voice: 4, 4% |
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mute_and_not_connected: 1, 1% |
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mute_and_voicemail: 3, 3% |
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no_early_media_and_mute_3s_then_busy: 1, 1% |
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no_early_media_and_voice: 2, 2% |
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out_of_service_and_not_connected: 2, 2% |
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unavailable_and_not_connected: 1, 1% |
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unavailable_or_out_of_service_and_not_connected: 2, 2% |
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""" |
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def main(): |
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args = get_args() |
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audio_dir = Path(args.audio_dir) |
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output_dir = Path(args.output_dir) |
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output_dir.mkdir(parents=True, exist_ok=False) |
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suffix_count = 0 |
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call_id_to_wav_file_list = defaultdict(list) |
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for filename in audio_dir.glob("**/*.wav"): |
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splits = filename.stem.split("_") |
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if len(splits) == 4: |
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call_id = splits[3] |
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elif len(splits) == 7: |
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call_id = splits[3] |
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language = splits[4] |
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scene_id = splits[5] |
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else: |
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raise AssertionError(f"len splits, {len(splits)}, {filename.stem}") |
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call_id_to_wav_file_list[call_id].append(filename) |
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print(f"count: {len(call_id_to_wav_file_list)}") |
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rows = quantity_to_use.strip().split("\n") |
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result = list() |
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for row in rows: |
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splits = row.strip().split(",", maxsplit=1) |
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row = splits[0] |
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splits = row.strip().split(":", maxsplit=1) |
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folder_name = splits[0].strip() |
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need_count = splits[1].strip() |
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need_count = int(need_count) |
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candidate_dir = audio_dir / folder_name |
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candidates = list(candidate_dir.glob("active_media_r_*.wav")) |
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print(f"candidates count: {len(candidates)}, need count: {need_count}, folder_name: {folder_name}") |
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candidates = candidates[:need_count] |
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for filename in candidates: |
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splits = filename.stem.split("_") |
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call_id = splits[3] |
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print(call_id) |
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tgt_dir = output_dir / f"{suffix_count:03}" |
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tgt_dir.mkdir(parents=True, exist_ok=True) |
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suffix_count += 1 |
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wav_file_list = call_id_to_wav_file_list[call_id] |
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for wav_file in wav_file_list: |
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if wav_file.stem.startswith("active_media_r"): |
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tgt_filename = tgt_dir / f"active_media_{call_id}.wav" |
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elif wav_file.stem.startswith("early_media_r"): |
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tgt_filename = tgt_dir / f"early_media_{call_id}.wav" |
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elif wav_file.stem.startswith("active_media_w"): |
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continue |
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else: |
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raise AssertionError |
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shutil.copy( |
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wav_file.as_posix(), |
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tgt_filename.as_posix(), |
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) |
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result.append({ |
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"suffix": f"{suffix_count-1:03}", |
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"label": folder_name |
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}) |
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result = pd.DataFrame(result) |
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result.to_excel( |
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output_dir / "readme.xlsx", |
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index=False |
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) |
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return |
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if __name__ == "__main__": |
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main() |
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