mirror of https://github.com/hykilpikonna/AquaDX
[+] Maimai data format convert
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d123a50054
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c10085b65a
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import argparse
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import shutil
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from pathlib import Path
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import orjson
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import xmltodict
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from hypy_utils import write
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from hypy_utils.tqdm_utils import pmap
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def convert_one(file: Path):
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# Get path relative to source
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rel = file.relative_to(src)
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# If path is one-level under StreamingAssets, ignore it (e.g. StreamingAssets/A000/Data.xml)
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if len(rel.parts) <= 2:
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return
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# Read xml
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xml = xmltodict.parse(file.read_text())
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# There should only be one root element, expand it
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assert len(xml) == 1, f'Expected 1 root element, got {len(xml)}'
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xml = xml[list(xml.keys())[0]]
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# Remove @xmlns:xsi and @xmlns:xsd
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if '@xmlns:xsi' in xml:
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del xml['@xmlns:xsi']
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if '@xmlns:xsd' in xml:
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del xml['@xmlns:xsd']
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# Generate target file path
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# Ignore the first segment of the relative path, and append to the destination
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# Also collapse the single-item directory into the filename
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# e.g. {src}/A000/music/music000001/Music.xml -> {dst}/music/000001.json
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target = dst / '/'.join(rel.parts[1:-2])
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file_id = ''.join(filter(str.isdigit, rel.parts[-2]))
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target = target / f'{file_id}.json'
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# Create directories if they don't exist
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target.parent.mkdir(parents=True, exist_ok=True)
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# Write json
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write(target, orjson.dumps(xml))
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if __name__ == '__main__':
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agupa = argparse.ArgumentParser()
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agupa.add_argument('source', type=str, help='Package/Sinmai_Data/StreamingAssets directory')
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agupa.add_argument('destination', type=str, help='Directory to extract to')
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args = agupa.parse_args()
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src = Path(args.source)
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dst = Path(args.destination)
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# Assert that A000 exists in the source directory
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assert (src / 'A000').exists(), f'{src}/A000 does not exist'
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# Assert that target directory does not exist
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if dst.exists():
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if input(f'{dst} already exists, delete? (y/n): ') == 'y':
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print(f'Deleting {dst}')
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shutil.rmtree(dst)
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# Find all xml files in the source directory
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files = list(src.rglob('*.xml'))
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print(f'Found {len(files)} xml files')
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# Multithreaded map
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pmap(convert_one, files, desc='Converting', unit='file', chunksize=50)
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