create main for package

.gitignore

@@ -1,3 +1,11 @@
+*.csv
+*.pdf
+*.apkg
+*.anki2
+*.anki
+*.epub
+
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]
@@ -160,4 +168,7 @@ cython_debug/
 .idea/
 
 # Project Specific
-scripts/
+scripts/
+
+
+data/

requirements.txt

@@ -1,6 +1,5 @@
 click
 genanki
-pandas==1.5.2
+pandas
 pyyaml
-bullet
+bullet
-translate

src/ankimaker/__main__.py

@@ -0,0 +1,5 @@
+from .cli import main
+
+
+if __name__ == '__main__':
+     main()

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/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()
+    model = generator.create_model()
-    if Config.answer_column is None:
+
-        generator_engine = generator.TranslatorGenerator(
+    for entry in df.to_dict('records'):
-            original_language=Config.input_language,
+        question = entry[Config.question_column]
-            destination_language=Config.output_language,
+        answer = entry[Config.answer_column]
-        )
+        content_fields = (question, answer)
-        cards = generator_engine.get_cards(questions)
+        note = generator.create_note(model, fields=content_fields)
-    else:
+        deck.add_note(note)
-        answers = df[Config.answer_column]
-        generator_engine = generator.QuestionAnswerGenerator()
-        cards = generator_engine.get_cards(questions, answers)
-    for card in cards:
-        deck.add_note(card)
     return deck