.gitignore

@@ -161,6 +161,3 @@ cython_debug/
 
 # Project Specific
 scripts/
-.vscode
-.vscode
-data/

requirements.txt

@@ -1,10 +1,5 @@
 click
 genanki
-pandas==1.5.2
+pandas
 pyyaml
 bullet
-nltk
-EbookLib
-BeautifulSoup4
-PyMultiDictionary
-translate

setup.py

@@ -8,7 +8,7 @@ def readme():
 
 setup(
     name='ankimaker',
-    version='0.0.6',
+    version='0.0.5',
     description='Makes anki with files',
     url="https://git.lgoon.xyz/gabriel/ankimaker",
     license="BSD-3-Clause",
@@ -27,11 +27,7 @@ setup(
         "genanki",
         "pandas",
         "pyyaml",
-        "bullet",
-        "nltk",
-        "EbookLib",
-        "BeautifulSoup",
-        "wordfreq",
+        "bullet"
     ],
     long_description_content_type='text/markdown',
 )

src/ankimaker/commands/__init__.py

@@ -1,4 +1,3 @@
 from .base_click import cli
 from .from_csv import generate_anki
 from .make_config import make_csv_config
-from .from_epub import process_epub

src/ankimaker/commands/from_epub.py

@@ -1,13 +0,0 @@
-import click
-
-from ankimaker.commands import cli
-from ankimaker.tasks.epub_to_anki import process_epub
-
-
-@cli.command('epub')
-@click.option('-i', '--input', 'input_file', type=click.Path(exists=True))
-@click.option('-o', '--output', 'output_file', type=click.Path(exists=False))
-@click.option('-l', '--lang', 'language', default=None, type=click.STRING)
-@click.option('-n', '--name', 'name', required=False, type=click.STRING)
-def generate_anki(input_file, output_file, language, name):
-    process_epub(input_file=input_file, output_file=output_file, language=language, deck_name=name)

src/ankimaker/config/configuration.py

@@ -12,20 +12,16 @@ class AnkimakerConfig(yaml.YAMLObject):
     question_column = None
     answer_column = None
     separators = ','
-    input_language = None,
-    output_language = None,
     filters: List[List[FilterConfig]] = list()
 
     def __init__(
             self, separators=',', header=None, answer_column=None, question_column=None,
-            filters=tuple(), input_language=None, output_language=None, *args, **karhs
+            filters=tuple(), *args, **karhs
     ):
         self.answer_column = answer_column
         self.question_column = question_column
         self.header = header
         self.separators = separators
-        self.input_language = input_language
-        self.output_language = output_language
         self.filters = _conditionally_create_new_filters(filters)
 
     @staticmethod
@@ -38,8 +34,6 @@ class AnkimakerConfig(yaml.YAMLObject):
         AnkimakerConfig.question_column = content.question_column
         AnkimakerConfig.answer_column = content.answer_column
         AnkimakerConfig.separators = content.separators
-        AnkimakerConfig.input_language = content.input_language
-        AnkimakerConfig.output_language = content.output_language
         AnkimakerConfig.filters = _conditionally_create_new_filters(content.filters)
 
 

src/ankimaker/generator/__init__.py

@@ -3,5 +3,3 @@ from . import (
 )
 from .card import create_note
 from .model import create_model
-from .translator_generator import TranslatorGenerator
-from .question_answer_generator import QuestionAnswerGenerator

src/ankimaker/generator/question_answer_generator.py

@@ -1,17 +0,0 @@
-import genanki
-from typing import Collection, List
-
-from ankimaker import generator
-
-
-class QuestionAnswerGenerator:
-    def __init__(self):
-        self.__model = generator.create_model()
-
-    def get_cards(self, questions: Collection[str], answers: Collection[str]) -> List[genanki.Model]:
-        assert len(questions) == len(answers)
-        cards = list()
-        for content_fields in zip(questions, answers):
-            card = generator.create_note(self.__model, fields=content_fields)
-            cards.append(card)
-        return cards

src/ankimaker/generator/translator_generator.py

@@ -1,28 +0,0 @@
-import genanki
-from translate import Translator
-from typing import Collection, List
-
-from ankimaker import generator
-
-
-class TranslatorGenerator:
-    def __init__(self, original_language, destination_language):
-        """
-        :param original_language: Language of the inserted text, following https://en.wikipedia.org/wiki/ISO_639-1
-        :param destination_language: Language you want to translate to, following https://en.wikipedia.org/wiki/ISO_639-1
-        """
-        self.__translator = Translator(from_lang=original_language, to_lang=destination_language)
-        self.__model = generator.model.create_model()
-
-    def get_cards(self, content_collection: Collection[str]) -> List[genanki.Model]:
-        cards = list()
-        for content in content_collection:
-            card = self._create_card(content)
-            cards.append(card)
-        return cards
-
-    def _create_card(self, content):
-        translation = self.__translator.translate(content)
-        fields = (content, translation)
-        card = generator.create_note(self.__model, fields)
-        return card

src/ankimaker/tasks/__init__.py

@@ -1,3 +1,2 @@
 from .basic_csv_to_anki import basic_pandas_to_anki
 from .config_tasks import create_config, enhance_config
-from . import dictionary

src/ankimaker/tasks/basic_csv_to_anki.py

@@ -18,19 +18,14 @@ def load_csv(path: str) -> pd.DataFrame:
 
 
 def add_df_to_deck(df: pd.DataFrame, deck: genanki.Deck) -> genanki.Deck:
-    questions = df[Config.question_column].to_list()
-    if Config.answer_column is None:
-        generator_engine = generator.TranslatorGenerator(
-            original_language=Config.input_language,
-            destination_language=Config.output_language,
-        )
-        cards = generator_engine.get_cards(questions)
-    else:
-        answers = df[Config.answer_column]
-        generator_engine = generator.QuestionAnswerGenerator()
-        cards = generator_engine.get_cards(questions, answers)
-    for card in cards:
-        deck.add_note(card)
+    model = generator.create_model()
+
+    for entry in df.to_dict('records'):
+        question = entry[Config.question_column]
+        answer = entry[Config.answer_column]
+        content_fields = (question, answer)
+        note = generator.create_note(model, fields=content_fields)
+        deck.add_note(note)
     return deck
 
 

src/ankimaker/tasks/dictionary.py

@@ -1,24 +0,0 @@
-from multiprocessing import Pool
-from itertools import repeat
-from typing import Iterable, Optional
-from http.client import RemoteDisconnected as HttpClientRemoteDisconnected
-
-from PyMultiDictionary import MultiDictionary
-
-
-def get_and_process_word_definition(language: str, word: str) -> Optional[str]:
-    try:
-        dictionary = MultiDictionary()
-        definition = dictionary.meaning(lang=language, word=word)
-        if len(definition[1]) <= 1:
-            return None
-        definition = definition[1].split('.')[0]
-    except HttpClientRemoteDisconnected:
-        return None
-    return definition
-
-
-def get_word_definitions_from_dictionary(language: str, word_collection: Iterable[str]) -> Iterable[str]:
-    with Pool(7) as p:
-        definitions = p.starmap(get_and_process_word_definition, zip(repeat(language), word_collection))
-    return definitions

src/ankimaker/tasks/epub/__init__.py

@@ -1 +0,0 @@
-from . load_epub import generate_corpus_from_epub_file

src/ankimaker/tasks/epub/load_epub.py

@@ -1,75 +0,0 @@
-import nltk
-import ebooklib
-import pandas as pd
-from ebooklib import epub
-from bs4 import BeautifulSoup
-
-nltk.download('stopwords')
-nltk.download('punkt')
-
-blacklist = (
-    '[document]',
-    'noscript',
-    'header',
-    'html',
-    'meta',
-    'head',
-    'input',
-    'script',
-    'style',
-    # there may be more elements you don't want, such as "style", etc.
-)
-
-
-def make_word_frequency_series(corpus):
-    nltk_occurrences = nltk.FreqDist(corpus)
-    occurrences: pd.Series = pd.Series(dict(nltk_occurrences))
-    frequencies = occurrences / sum(occurrences)
-    frequencies = frequencies.sort_values(ascending=False)
-    return frequencies
-
-
-def epub2thtml(epub_path):
-    book = epub.read_epub(epub_path)
-    chapters = []
-    for item in book.get_items():
-        if item.get_type() == ebooklib.ITEM_DOCUMENT:
-            chapters.append(item.get_content())
-    return chapters
-
-
-def chap2text(chap):
-    output = ''
-    soup = BeautifulSoup(chap, 'html.parser')
-    text = soup.find_all(text=True)
-    for t in text:
-        if t.parent.name not in blacklist:
-            output += '{} '.format(t)
-    return output
-
-
-def thtml2ttext(thtml):
-    Output = []
-    for html in thtml:
-        text = chap2text(html)
-        Output.append(text)
-    return Output
-
-
-def epub2text(epub_path):
-    chapters = epub2thtml(epub_path)
-    ttext = thtml2ttext(chapters)
-    return ttext
-
-
-def generate_corpus_from_epub_file(input_path, language):
-    epub_doc = epub2text(input_path)
-    corpus = []
-    sw = nltk.corpus.stopwords.words(language)
-    for content in epub_doc:
-        for w in nltk.word_tokenize(content, language=language):
-            w = w.lower()
-            if w not in sw and len(w) > 1:
-                corpus.append(w)
-    return corpus
-

src/ankimaker/tasks/epub_to_anki.py

@@ -1,24 +0,0 @@
-from ankimaker import generator
-
-from ankimaker.tasks import epub
-from ankimaker.tasks import dictionary
-
-
-def create_collection_and_filter_out_on_empty_definitions(words_from_epub, definitions):
-    collection = [(words, defi) for words, defi in zip(words_from_epub, definitions) if defi is not None]
-    return collection
-
-
-def process_epub(input_file, output_file, language, deck_name):
-    words_from_epub = epub.generate_corpus_from_epub_file(input_file)
-    definitions = dictionary.get_word_definitions_from_dictionary(language, words_from_epub)
-    collection = create_collection_and_filter_out_on_empty_definitions(words_from_epub, definitions)
-    generator_engine = generator.QuestionAnswerGenerator()
-
-    deck = generator.deck.create_deck(deck_name)
-
-    words_from_epub, definitions = map(list, zip(*collection))
-    cards = generator_engine.get_cards(words_from_epub, definitions)
-    for card in cards:
-        deck.add_note(card)
-    generator.deck.save_deck(deck, output_file)