def main(args):
col = ankipandas.Collection()
cards = col.cards.merge_notes()
reading_cards = cards[cards["cdeck"] == "1a_myChinese\x1fReading"]
currently_learning_cards = reading_cards[
(reading_cards["cqueue"] == "learning")
| (reading_cards["cqueue"] == "in learning")]
trad_chars = currently_learning_cards.apply(lambda row: row["nflds"][1],
axis=1).tolist()
learning_sentences = []
sentence_df = pd.read_csv("data/graded_sentences.csv")
sentence_df["char_list"] = sentence_df.apply(
lambda row: list(jieba.cut(row["hanzi"])), axis=1)
for char in trad_chars:
tmp = sentence_df[pd.DataFrame(sentence_df.char_list.tolist()).isin(
[char]).any(1).values]
tmp = tmp[:3]
for index, row in tmp.iterrows():
learning_sentences.append(row["hanzi"])
random.shuffle(learning_sentences)
with open(
f"../../Dropbox/chinese_sentences/learning_sentences_{datetime.date.today().strftime('%Y_%m_%d')}__{datetime.datetime.now().time().strftime('%H_%M_%S')}.txt",
"w") as ff:
for sen in learning_sentences:
trad_sen = hanziconv.HanziConv.toTraditional(sen)
ff.write(trad_sen + "\n")
def main(args):
col = ankipandas.Collection()
# note = col.notes["nflds"][501]
# selection = col.notes["nflds"][501]
selection = col.notes[col.notes['nmodel'] == "Simple Model linedict"]
selection["nflds"] = selection.apply(lambda row: row["nflds"], axis=1)
# note[-1]="test"
# print(note[-1])
# col.notes.update(note)
col.notes.update(selection)
col.summarize_changes()
def run_example(self, path: Path, save=True):
self.log.info("Running example %s", path)
col = ankipandas.Collection(self.col_path) # noqa F841
with path.open("r") as example_file:
exec(example_file.read())
if save:
out = self.output_dir.resolve() / (path.resolve().stem + ".png")
self.log.info("Plotting to %s", out)
plt.savefig(out, bbox_inches="tight", transparent=True, dpi=75)
plt.cla()
plt.clf()
plt.close()
def save_anki(by_char):
col = ankipandas.Collection()
han = col.notes[col.notes.nmodel == "Hanzi Writing"].copy()
han.fields_as_columns(inplace=True)
chars = list(han.nfld_Hanzi)
examples = [to_html(char, extract(by_char, char)) for char in chars]
print()
print("\n".join(examples[:10]))
print()
han["nfld_Examples"] = examples
han.fields_as_list(inplace=True)
col.notes.update(han)
print(col.summarize_changes())
if click.confirm("Do you want to save? CAREFUL"):
print("SAVING...")
col.write(modify=True)
print("SAVED.")
def colorize_char(char, tone):
col = COLS[tone]
return f'<span style="color:#{col}">{char}</span>'
def colorize_word(word):
pinyin_syllabels = pinyin(word, style=Style.TONE3, heteronym=False)
tones = [syl[0][-1] for syl in pinyin_syllabels]
tones = [tone if tone.isdigit() else "5" for tone in tones]
#print(word, tones)
return "".join(
colorize_char(char, tone) for char, tone in zip(word, tones))
col = ankipandas.Collection()
han = col.notes[col.notes.nmodel == "Hanzi Writing"].copy()
han.fields_as_columns(inplace=True)
chars = list(han.nfld_Hanzi)
chars_in_col = set(chars)
words = collections.defaultdict(list)
for word, rank in sorted(freq.items(), key=lambda x: x[1]):
print(word, rank)
for char in word:
if char in chars_in_col and len(words[char]) < max_words:
try:
if koohii_data:
with open(resource_path("DATA/kanji_koohii.json"),"ab+") as f:
f.write(json.dumps(koohii_data, ensure_ascii=False, indent=4).encode("utf-8"))
return koohii_data
if __name__ == "__main__":
anki_filename, notes_filename = resource_path("DATA/Anki Remembering the Kanji.txt"), resource_path("DATA/Notes Anki Remembering the Kanji.txt")
anki_json = resource_path("DATA/deck.json")
anki_col_path = resource_path("DATA/Remembering the Kanji.apkg")
pd.set_option('display.max_colwidth', None)
col = ankipandas.Collection()#"C:\Users\dimit\AppData\Roaming\Anki2\User 1\collection.anki2")
print(col.cards.fields_as_columns(inplace=True))
with open(anki_json, "r", encoding="utf-8") as f:
"""
for i, l in enumerate(f.readlines()[1:]):
#print(l.strip())
#if i == 0: break
#pattern = ".*Details Story Dictionary (\D)(.*)My Story (.*)Koohii(.*#\d).*(Primitives.*)(Kunyomi:.*)(Onyomi:.*)(Lesson:.*)(JH JLPT Level:.*)(Compounds:.*?)"
pattern = ".*Details Story Dictionary (\D)(.*)My Story (.*)Koohii(.*#\d).*(Primitives.*)(Kunyomi:.*)(Onyomi:.*)(Lesson:.*)(JH JLPT Level:.*)(Compounds:.*)"
if i == 1:
#print(l)
regex = re.compile(pattern)
#print("\n\n",re.findall(regex, l))
break
"""