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anki.py
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from diki_translate import Diki
from babla_translate import Babla
from gtts import gTTS
import genanki
import pandas as pd
import eng_to_ipa as p
import contextlib
import random
import datetime
import argparse
import itertools
import os
import shutil
#adds note to deck
def noteAdder(note_word, phonetic, phonetic_media, meaning, example):
with contextlib.suppress(TypeError):
my_note = genanki.Note(
model=my_model,
fields=[note_word, phonetic, "[sound:"+ phonetic_media[6:] +"]", meaning, example])
my_deck.add_note(my_note)
#generates tts from word
def ttsAdder(word):
with contextlib.suppress(AssertionError):
tts = gTTS(word, lang='en')
tts_word = f"media/{str(word_index)}_" + word[:3] + ".mp3"
tts.save(tts_word)
my_package.media_files.append(tts_word)
return tts_word
#generates meaning, example and phonetic of word
def meaningAdder(word):
diki_list = list(itertools.islice(diki.translation(word), 5))
babla_list = list(itertools.islice(babla.translation(word), 5))
num = [len(diki_list), len(babla_list)]
meaning_index = max(num)
trans_list = []
for i in range(meaning_index):
with contextlib.suppress(IndexError):
trans_list.append(diki_list[i])
with contextlib.suppress(IndexError):
trans_list.append(babla_list[i])
uniqueList = []
duplicateList = []
for i in trans_list:
if i not in uniqueList:
uniqueList.append(i)
elif i not in duplicateList:
duplicateList.append(i)
if uniqueList:
meaning_string = ', '.join(uniqueList[:5])
else:
meaning_string = " "
dataset.at[word_index,'meaning'] = meaning_string
dataset.at[word_index,'phonetic'] = p.convert(word)
example = list(itertools.islice(babla.example(word), 1))
with contextlib.suppress(IndexError):
if example:
dataset.at[word_index,'example'] = example[0]
else:
example = " "
dataset.at[word_index,'example'] = example
print(dataset.at[word_index,'phonetic'])
print(dataset.at[word_index,'meaning'])
print(dataset.at[word_index,'example'])
#cli and pd init
parser = argparse.ArgumentParser(description='English <-> Polish anki generator')
parser.add_argument('file')
args = parser.parse_args()
columns = ['word_column', 'phonetic', 'meaning', 'example']
dataset=pd.read_csv(args.file,header=None, index_col=False,names=columns,sep='\t',dtype=object)
# diki and babla module init
diki = Diki("english")
babla = Babla("english", "polish")
#genanki card model
my_model = genanki.Model(
random.randrange(1 << 30, 1 << 31),
'Translation_model',
fields=[
{'name': 'word'},
{'name': 'phonetic'},
{'name': 'phonetic_media'},
{'name': 'meaning'},
{'name': 'example'},
],
templates=[
{
'name': 'Card 1',
'qfmt': '{{word}} <br> {{phonetic}} \t {{phonetic_media}}',
'afmt': '{{FrontSide}}<hr id="answer">{{meaning}} <br><br> {{example}}',
},
],
css='.card {\n font-family: arial;\n font-size: 20px;\n text-align: center;\n color: black;\n background-color: white;\n}\n',
)
#creates media folder to store tts and checks if it exist
try:
folder_path = 'media'
os.mkdir(folder_path)
print('Media folder created')
except Exception:
print('Media folder already exists')
current_day = datetime.datetime.now()
title = f'Translation_{str(current_day.strftime("%d.%m"))}'
my_deck = genanki.Deck(random.randrange(1 << 30, 1 << 31),title)
my_package = genanki.Package(my_deck)
my_package.media_files = []
not_translated = []
#main loop
for word_index in range(len(dataset)):
current_word = dataset._get_value(word_index,'word_column')
print(word_index, current_word)
meaningAdder(current_word)
if dataset.at[word_index,'meaning'] == " ":
not_translated.append(current_word)
dataset = dataset.drop(word_index)
else:
noteAdder(dataset.at[word_index,'word_column'],dataset.at[word_index,'phonetic'], ttsAdder(current_word),dataset.at[word_index,'meaning'], dataset.at[word_index,'example'])
#export
print(dataset)
dataset.to_csv(title + '.csv',index=False)
my_package.write_to_file(title + '.apkg')
#removes media folder
try:
shutil.rmtree(folder_path)
print('Media folder and its content removed')
except Exception:
print('Media folder not deleted')
print(f"Words not translated : {not_translated}")