119 lines
4.8 KiB
Python
119 lines
4.8 KiB
Python
import json
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import MeCab
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import re
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import requests
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import os
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from pathlib import Path
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import shutil
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request_url = "http://127.0.0.1:19633"
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request_timeout = 10
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destination_directory_name = '/run/media/deck/YF8SD/Sync/Notebooks/Obsidian/Japanese/Yu-Gi-Oh/Cards/'
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destination_path = Path(destination_directory_name)
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# Generate Hiragana and Katakana characters
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hiragana = tuple(chr(i) for i in range(12353, 12436)) # \u3041 - \u3094
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katakana = tuple(chr(i) for i in range(12450, 12532)) # \u30A2 - \u30F4
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punctuation = tuple(chr(i) for i in range(65281, 65382))
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# Combine both into one tuple
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all_kana = hiragana + katakana + punctuation + (' ', 'ー', '・')
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KANJI_RE = re.compile(r"[\u4E00-\u9FFF]")
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def katakana_to_hiragana(text: str) -> str:
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return "".join(
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chr(ord(ch) - 0x60) if 0x30A1 <= ord(ch) <= 0x30F6 else ch
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for ch in text
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)
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# def get_node_reading(node) -> str:
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# features = node.feature.split(",")
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# print()
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# if len(features) >= 8 and features[7] != "*":
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# return katakana_to_hiragana(features[7])
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# return node.surface
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def has_kanji(text: str) -> bool:
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return bool(KANJI_RE.search(text))
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def anki_fields_term(term : str) -> dict:
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params = {
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"text": term,
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"type": "term",
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"markers": ["audio", "cloze-body-kana", "conjugation", "expression", "furigana", "furigana-plain", "glossary", "glossary-brief", "glossary-no-dictionary", "glossary-first", "glossary-first-brief", "glossary-first-no-dictionary", "part-of-speech", "phonetic-transcriptions", "pitch-accents", "pitch-accent-graphs", "pitch-accent-graphs-jj", "pitch-accent-positions", "pitch-accent-categories", "reading", "tags", "clipboard-image", "clipboard-text", "cloze-body", "cloze-prefix", "cloze-suffix", "dictionary", "dictionary-alias", "document-title", "frequencies", "frequency-harmonic-rank", "frequency-harmonic-occurrence", "frequency-average-rank", "frequency-average-occurrence", "screenshot", "search-query", "popup-selection-text", "sentence", "sentence-furigana", "sentence-furigana-plain", "url"],
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"maxEntries": 1,
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"includeMedia": False,
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}
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response = requests.post(request_url + "/ankiFields", json = params, timeout = request_timeout)
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return json.loads(response.text)
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def term_entries(term :str) -> dict:
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#print("Requesting termEntries:")
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params = {
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"term": term,
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"maxEntries": 1,
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"includeMedia": False,
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}
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response = requests.post(request_url + "/termEntries", json = params, timeout = request_timeout)
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return json.loads(response.text)
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def get_glossary(word :str) -> list:
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glossary = list()
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dict_items = term_entries(word)
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entry = next(iter(dict_items.get("dictionaryEntries",[])),None)
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if entry:
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definition = next(iter(entry.get("definitions",[])),None)
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if definition:
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def_entry = next(iter(definition.get("entries", [])),None)
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if def_entry:
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glossary.extend( list(extract_text_by_type(def_entry, "glossary")) )
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return glossary[:2]
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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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with open("dump2.json", "r", encoding="utf-16") as f:
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dump = json.load(f)
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for cd in dump:
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print(dump[cd]['name_J'])
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if Path('YGO_2020/2020.full.illust_j.jpg.zib/' + cd + '.jpg').exists():
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##TODO: Ew
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if Path(destination_path.joinpath('_attachments/' + cd + '.jpg')).exists() == False:
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shutil.copy2(Path('YGO_2020/2020.full.illust_j.jpg.zib/' + cd + '.jpg'), destination_path.joinpath('_attachments'))
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with open(destination_path.as_posix() + '/' + cd + '.md', 'w') as card_note:
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card_note.write("---\n")
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card_note.write(f"aliases: [{dump[cd]['name_J']},{dump[cd]['name_E']}]\n")
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card_note.write("---\n")
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## Name at the top
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card_note.write(f"![[{cd}.jpg]]")
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card_note.write("\n<details><summary>\n")
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card_note.write(dump[cd]['name_J'])
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card_note.write("\n</summary>\n")
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card_note.write(dump[cd]['name_E'])
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card_note.write("\n</details>\n")
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if(dump[cd].get("kana")):
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card_note.write(f"{dump[cd]['kana']}\n")
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## the description
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card_note.write(dump[cd]['desc_J'])
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card_note.write("<details><summary>\n")
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card_note.write("Translation")
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card_note.write("\n</summary>\n")
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card_note.write(dump[cd]['desc_E'])
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card_note.write("\n</details>\n")
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# desc_Furi
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if(dump[cd].get("desc_Furi")):
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card_note.write(f"{dump[cd]['desc_Furi']}\n")
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for vocab in dump[cd]["glossary_Desc_J"]:
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print(vocab, file=card_note)
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