mirror of
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Add new tool, update README for others.
This commit is contained in:
Cainan
parent
6878ea4b82
commit
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9
.gitignore
vendored
9
.gitignore
vendored
@ -1,3 +1,8 @@
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*.bin
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*.def
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*.DS_Store
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*.tja
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*.ini
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.DS_Store
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*.json
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*.mp3
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*.ogg
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@ -26,3 +26,18 @@ Currently, due to the nature of this relying on some Windows executables, this t
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I will be looking into getting it running on Unix-based operating systems. (Linux/macOS)
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## Tools Used
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at9tool - Used to convert audio to the Sony AT9 format.
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[VGAudioCli](https://github.com/Thealexbarney/VGAudio) - Used to convert audio to Nintendo IDSP and Nintendo OPUS.
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[G.722.1 Reference Tool](https://www.itu.int/rec/T-REC-G.722.1-200505-I/en) - Used to convert audio to Polycom Siren 14
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### Special Thanks
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Steam User [descatal](https://steamcommunity.com/id/descatal) for writing [this](https://exvsfbce.home.blog/2020/02/04/guide-to-encoding-bnsf-is14-audio-files-converting-wav-back-to-bnsf-is14/) guide on how to create/encode `bnsf` files.
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[korenkonder](https://github.com/korenkonder) for compiling the G.722.1 tool used in this project.
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[Kamui/despairoharmony](https://github.com/despairoharmony) for some of the Nijiiro `.nus3bank` template research.
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## Related Tools
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[tja2fumen](https://github.com/vivaria/tja2fumen)
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[TjaOffsetNeutralise](https://github.com/cainan-c/TaikoPythonTools/tree/main/TjaBatchConvert)
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[TjaBatchConvert](https://github.com/cainan-c/TaikoPythonTools/tree/main/TjaBatchConvert)
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17
TjaBatchConvert/README.md
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17
TjaBatchConvert/README.md
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# TJA Batch Conversion
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Python script that converts TJA files and audio for use with [TaikoSongConversionTool](https://github.com/cainan-c/TaikoPythonTools/tree/main/TaikoSongConversionTool)
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The tool isn't very fast, due to the JSON files becoming malformed when multi-threading is involved.
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This tool takes advantage of vivaria's [tja2fumen](https://github.com/vivaria/tja2fumen) for conversion.
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Usage: batch_convert.py [-h] input_folder output_folder
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Process TJA files and generate related files.
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positional arguments:
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input_folder The input folder containing TJA files.
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output_folder The output folder where processed files will be saved.
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options:
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-h, --help show this help message and exit
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304
TjaBatchConvert/batch_convert.py
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304
TjaBatchConvert/batch_convert.py
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import os
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import json
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import shutil
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from pydub import AudioSegment
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import subprocess
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import concurrent.futures
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import argparse
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import logging
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from threading import Lock
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logging.basicConfig(level=logging.INFO)
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json_lock = Lock()
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# Define genre mapping
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GENRE_MAPPING = {
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"J-POP": 0,
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"アニメ": 1,
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"VOCALOID": 2,
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"バラエティー": 3,
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"どうよう": 3,
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"クラシック": 5,
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"ゲームミュージック": 6,
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"ナムコオリジナル": 7
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}
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def get_genre_no(box_def_path):
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if not os.path.exists(box_def_path):
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return 3 # Default genre if box.def does not exist
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with open(box_def_path, "r", encoding="utf-8-sig") as file:
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for line in file:
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if line.startswith("#GENRE:"):
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genre = line.split(":")[1].strip()
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return GENRE_MAPPING.get(genre, 3)
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return 3
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def parse_tja(tja_path):
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info = {}
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note_counts = {
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"Easy": 0,
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"Normal": 0,
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"Hard": 0,
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"Oni": 0,
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"Edit": 0
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}
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current_difficulty = None
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inside_notes_section = False
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difficulty_tags = {
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"Easy": "starEasy",
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"Normal": "starNormal",
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"Hard": "starHard",
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"Oni": "starMania",
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"Edit": "starUra"
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}
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with open(tja_path, "r", encoding="utf-8-sig") as file:
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for line in file:
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line = line.strip()
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if line.startswith("TITLE:"):
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info['TITLE'] = line.split(":")[1].strip()
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elif line.startswith("TITLEJA:"):
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info['TITLEJA'] = line.split(":")[1].strip()
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elif line.startswith("SUBTITLE:"):
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info['SUBTITLE'] = line.split(":")[1].strip()
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elif line.startswith("SUBTITLEJA:"):
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info['SUBTITLEJA'] = line.split(":")[1].strip()
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elif line.startswith("BPM:"):
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info['BPM'] = float(line.split(":")[1].strip())
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elif line.startswith("WAVE:"):
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info['WAVE'] = line.split(":")[1].strip()
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elif line.startswith("OFFSET:"):
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info['OFFSET'] = float(line.split(":")[1].strip())
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elif line.startswith("DEMOSTART:"):
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info['DEMOSTART'] = int(float(line.split(":")[1].strip()) * 1000) # convert to ms
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elif line.startswith("COURSE:"):
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course = line.split(":")[1].strip()
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if course in difficulty_tags:
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current_difficulty = course
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inside_notes_section = False
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elif line.startswith("LEVEL:") and current_difficulty:
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info[difficulty_tags[current_difficulty]] = int(line.split(":")[1].strip())
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elif line.startswith("#START") and current_difficulty:
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inside_notes_section = True
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elif line.startswith("#END") and current_difficulty:
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inside_notes_section = False
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current_difficulty = None
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elif inside_notes_section and current_difficulty:
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note_counts[current_difficulty] += sum(line.count(ch) for ch in '1234')
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# Calculate shinuti and scores based on note counts
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for difficulty, count in note_counts.items():
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if difficulty in difficulty_tags and count > 0:
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tag = difficulty_tags[difficulty]
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shinuti = -(-1000000 // count) # equivalent to math.ceil(1000000 / count)
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info[f'shinuti{difficulty}'] = shinuti
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info[f'shinuti{difficulty}Duet'] = shinuti
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info[f'score{difficulty}'] = shinuti * count
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else:
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tag = difficulty_tags[difficulty]
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info[f'shinuti{difficulty}'] = 0
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info[f'shinuti{difficulty}Duet'] = 0
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info[f'score{difficulty}'] = 0
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info['NOTE_COUNT'] = sum(note_counts.values())
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return info
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def convert_audio(wave_path, output_path):
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audio = AudioSegment.from_file(wave_path)
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audio.export(output_path, format="mp3")
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def append_to_json_file(filepath, data):
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with json_lock:
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try:
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if os.path.exists(filepath):
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with open(filepath, "r", encoding="utf-8") as f:
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existing_data = json.load(f)
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existing_data["items"].append(data)
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else:
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existing_data = {"items": [data]}
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with open(filepath, "w", encoding="utf-8") as f:
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json.dump(existing_data, f, ensure_ascii=False, indent=4)
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#logging.info(f"Appended data to {filepath} successfully.")
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except json.JSONDecodeError as e:
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logging.error(f"JSON decoding error while processing {filepath}: {e}")
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raise
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except Exception as e:
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logging.error(f"Error while appending data to {filepath}: {e}")
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raise
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def append_to_json_list_file(filepath, data):
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with json_lock:
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try:
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if os.path.exists(filepath):
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with open(filepath, "r", encoding="utf-8") as f:
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existing_data = json.load(f)
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existing_data.append(data)
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else:
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existing_data = [data]
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with open(filepath, "w", encoding="utf-8") as f:
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json.dump(existing_data, f, ensure_ascii=False, indent=4)
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#logging.info(f"Appended data to {filepath} successfully.")
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except json.JSONDecodeError as e:
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logging.error(f"JSON decoding error while processing {filepath}: {e}")
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raise
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except Exception as e:
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logging.error(f"Error while appending data to {filepath}: {e}")
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raise
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def create_json_files(info, genre_no, unique_id, output_dir):
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musicinfo = {
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"uniqueId": unique_id,
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"id": f"cs{unique_id:04d}",
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"songFileName": f"sound/song_cs{unique_id:04d}",
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"order": unique_id,
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"genreNo": genre_no,
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"branchEasy": False,
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"branchNormal": False,
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"branchHard": False,
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"branchMania": False,
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"branchUra": False,
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"starEasy": info.get("starEasy", 0),
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"starNormal": info.get("starNormal", 0),
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"starHard": info.get("starHard", 0),
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"starMania": info.get("starMania", 0),
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"starUra": info.get("starUra", 0),
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"shinutiEasy": info.get("shinutiEasy", 0),
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"shinutiNormal": info.get("shinutiNormal", 0),
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"shinutiHard": info.get("shinutiHard", 0),
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"shinutiMania": info.get("shinutiMania", 0),
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"shinutiUra": info.get("shinutiUra", 0),
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"shinutiEasyDuet": info.get("shinutiEasyDuet", 0),
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"shinutiNormalDuet": info.get("shinutiNormalDuet", 0),
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"shinutiHardDuet": info.get("shinutiHardDuet", 0),
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"shinutiManiaDuet": info.get("shinutiManiaDuet", 0),
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"shinutiUraDuet": info.get("shinutiUraDuet", 0),
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"scoreEasy": info.get("scoreEasy", 0),
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"scoreNormal": info.get("scoreNormal", 0),
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"scoreHard": info.get("scoreHard", 0),
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"scoreMania": info.get("scoreMania", 0),
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"scoreUra": info.get("scoreUra", 0)
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}
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previewpos = {
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"id": f"cs{unique_id:04d}",
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"previewPos": info['DEMOSTART']
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}
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wordlist = {
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"key": f"song_cs{unique_id:04d}",
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"japaneseText": info['TITLE'],
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"japaneseFontType": 0,
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"englishUsText": info['TITLE'],
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"englishUsFontType": 1,
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"chineseTText": info['TITLE'],
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"chineseTFontType": 0,
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"koreanText": info['TITLE'],
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"koreanFontType": 0
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}
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wordlist_sub = {
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"key": f"song_sub_cs{unique_id:04d}",
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"japaneseText": info.get('SUBTITLE', ''),
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"japaneseFontType": 0,
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"englishUsText": info.get('SUBTITLE', ''),
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"englishUsFontType": 0,
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"chineseTText": info.get('SUBTITLE', ''),
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"chineseTFontType": 1,
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"koreanText": info.get('SUBTITLE', ''),
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"koreanFontType": 2
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}
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wordlist_detail = {
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"key": f"song_detail_cs{unique_id:04d}",
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"japaneseText": "",
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"japaneseFontType": 0,
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"englishUsText": "",
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"englishUsFontType": 1,
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"chineseTText": "",
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"chineseTFontType": 0,
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"koreanText": "",
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"koreanFontType": 0
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}
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append_to_json_file(os.path.join(output_dir, "datatable/musicinfo.json"), musicinfo)
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append_to_json_list_file(os.path.join(output_dir, "datatable/previewpos.json"), previewpos)
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append_to_json_file(os.path.join(output_dir, "datatable/wordlist.json"), wordlist)
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append_to_json_file(os.path.join(output_dir, "datatable/wordlist.json"), wordlist_sub)
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append_to_json_file(os.path.join(output_dir, "datatable/wordlist.json"), wordlist_detail)
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def convert_tja_to_fumen(tja_path):
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subprocess.run(["bin/tja2fumen", tja_path], check=True)
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def move_and_rename_bin_files(tja_path, output_dir, unique_id):
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base_dir = os.path.dirname(tja_path)
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output_path = os.path.join(output_dir, f"fumen/cs{unique_id:04d}")
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os.makedirs(output_path, exist_ok=True)
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for difficulty in ["_e", "_n", "_h", "_x", "_m"]:
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bin_file = f"{os.path.splitext(tja_path)[0]}{difficulty}.bin"
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if os.path.exists(bin_file):
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shutil.move(bin_file, os.path.join(output_path, f"cs{unique_id:04d}{difficulty}.bin"))
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def process_song_charts(dir_path, file, output_folder, unique_id):
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tja_path = os.path.join(dir_path, file)
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convert_tja_to_fumen(tja_path)
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move_and_rename_bin_files(tja_path, output_folder, unique_id)
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def process_song_metadata(dir_path, file, genre_no, unique_id, output_folder):
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tja_path = os.path.join(dir_path, file)
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info = parse_tja(tja_path)
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create_json_files(info, genre_no, unique_id, output_folder)
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def process_song_audio(dir_path, file, unique_id, output_folder):
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tja_path = os.path.join(dir_path, file)
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info = parse_tja(tja_path)
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convert_audio(os.path.join(dir_path, info['WAVE']), os.path.join(output_folder, f"sound/song_cs{unique_id:04d}.mp3"))
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def process_song(dir_path, file, genre_no, unique_id, output_folder):
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try:
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process_song_charts(dir_path, file, output_folder, unique_id)
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process_song_audio(dir_path, file, unique_id, output_folder)
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process_song_metadata(dir_path, file, genre_no, unique_id, output_folder)
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#logging.info(f"Processed {file} successfully.")
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except Exception as e:
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logging.error(f"Failed to process {file} in {dir_path}: {e}")
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def main(input_folder, output_folder):
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unique_id = 1
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for root, dirs, files in os.walk(input_folder):
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if "box.def" in files:
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genre_no = get_genre_no(os.path.join(root, "box.def"))
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for dir in dirs:
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dir_path = os.path.join(root, dir)
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tja_files = [file for file in os.listdir(dir_path) if file.endswith(".tja")]
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with concurrent.futures.ThreadPoolExecutor() as executor:
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futures = [
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executor.submit(process_song, dir_path, file, genre_no, unique_id + i, output_folder)
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for i, file in enumerate(tja_files)
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]
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for future in concurrent.futures.as_completed(futures):
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try:
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future.result()
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unique_id += 1
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except Exception as e:
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logging.error(f"Error in future: {e}")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Process TJA files and generate related files.")
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parser.add_argument("input_folder", help="The input folder containing TJA files.")
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parser.add_argument("output_folder", help="The output folder where processed files will be saved.")
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args = parser.parse_args()
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os.makedirs(args.output_folder, exist_ok=True)
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os.makedirs(os.path.join(args.output_folder, "sound"), exist_ok=True)
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os.makedirs(os.path.join(args.output_folder, "datatable"), exist_ok=True)
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main(args.input_folder, args.output_folder)
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BIN
TjaBatchConvert/bin/tja2fumen.exe
Normal file
BIN
TjaBatchConvert/bin/tja2fumen.exe
Normal file
Binary file not shown.
@ -3,6 +3,8 @@
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Incredibly simple script which can take `.tja` files and remove any audio offsets in them. Modifying both the .ogg audio file and the chart iself.
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This tool will add a blank measure to make sure no audio is cut off, etc.
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Recomended to run your TJA files through this tool before using [TjaBatchConvert](https://github.com/cainan-c/TaikoPythonTools/tree/main/TjaBatchConvert)
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Usage: offset_adjust.py [-h] [--file FILE] [--path PATH] [--encoding {shift_jis,utf-8}]
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Process TJA and OGG files.
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