103 lines
4.1 KiB
Python
103 lines
4.1 KiB
Python
from fugashi_parser import *
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import os
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from pathlib import Path
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import shutil
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import hashlib
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destination_directory_name = '/run/media/deck/YF8SD/Sync/Notebooks/Obsidian/Japanese/Yu-Gi-Oh/AnimeSubs/'
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destination_path = Path(destination_directory_name)
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dictionary_name = 'Jitendex.org [2026-04-04]'
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#print(annotate_phrase("私は学校へ行きます"))
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## Make sure directories exist
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if not destination_path.exists():
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destination_path.mkdir(parents=True, exist_ok=True)
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if not destination_path.joinpath('_attachments').exists():
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destination_path.joinpath('_attachments').mkdir(parents=True, exist_ok=True)
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if not destination_path.joinpath('vocab').exists():
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destination_path.joinpath('vocab').mkdir(parents=True, exist_ok=True)
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# ---------- CLI ----------
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def main():
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# parser = argparse.ArgumentParser()
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# parser.add_argument("--vocab-file", required=True)
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# parser.add_argument("text", nargs="*")
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# args = parser.parse_args()
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vocab = load_vocab('foo.json')
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with open("/run/media/deck/YF8SD/Video/Yu-Gi-Oh! Duel Monsters - 001.vtt", "r", encoding="utf-8") as f:
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lines = f.readlines()
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notes_lines = []
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# Example: Modify the 3rd line (index 2)
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#lines[2] = "This is the new subtitle text\n"
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## First lien has some unicode bom bs
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i = 0
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while i < len(lines):
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## If the line starts with a single number build a header
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if re.fullmatch(r'\d+', lines[i].strip()) or i == 0:
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notes_lines.append('##### ' + lines[i].strip() + " `" + lines[i+1].strip() + "`" + "\n")
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i+=2
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continue
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if has_japanese(lines[i]):
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print(lines[i])
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result = analyze(lines[i],vocab)
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print(result['kana_reading'])
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notes_lines.append(result["ruby_html"] + "\n" )
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notes_lines.append (result['notes_link'] + "\n")
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if lines[i] != result['ruby_html']:
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lines[i] = result['ruby_html'] + "\n" # lost the new line
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# if lines[i] != result['kana_reading']:
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# lines[i] = result['kana_reading'] + "\n" # lost the new line
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else:
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#notes_lines.append("`" + lines[i].strip() + "`" + "\n")
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notes_lines.append(lines[i])
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i+=1
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## Lookup vocab
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if False:
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for word in vocab:
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#vocab_hash = hashlib.shake_256((word + dictionary_name).encode()).hexdigest(4)
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if Path(destination_path.joinpath('vocab/' + word + '.md')).exists() == False:
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definitions = anki_fields_term(word)
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if definitions.get("fields"):
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with open(destination_path.as_posix() + '/vocab/' + word + '.md', 'w') as vocab_note:
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for entry in definitions.get("fields"):
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vocab_note.write("\n")
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print(entry['expression'], file=vocab_note)
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#print(entry['furigana-plain'], file=vocab_note)
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if entry['expression'] != entry['reading']:
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print(entry['reading'], file=vocab_note)
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print(entry['furigana'], file=vocab_note)
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#print(f"Part of Speech: {entry['part-of-speech']}", file=vocab_note)
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print(f"Frequency: {entry['frequency-average-rank']}", file=vocab_note)
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#print(entry['glossary-plain-no-dictionary'], file=vocab_note)
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vocab_note.write(entry['glossary-first'])
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print("##### Other Definitions", file=vocab_note)
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print(entry['glossary-plain-no-dictionary'], file=vocab_note)
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with open("/run/media/deck/YF8SD/Video/Yu-Gi-Oh! Duel Monsters - 001.vtt", "w", encoding="utf-8") as f:
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f.writelines(lines)
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# with open("notestest-newchunks.md", "w", encoding="utf-8") as f:
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# f.writelines(notes_lines)
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#vocab = load_vocab(args.vocab_file)
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#result = analyze(text, vocab)
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#save_vocab('foo.json', vocab)
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#result["vocab_file"] = args.vocab_file
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#print(json.dumps(result, ensure_ascii=False, indent=2))
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if __name__ == "__main__":
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main() |