Make it an installable package.

.gitignore

@@ -0,0 +1,160 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

LICENCE

@@ -0,0 +1,8 @@
+Copyright 2014 Pallets
+
+Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
+
+Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
+Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
+Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

ankimaker/tasks/basic_csv_to_anki.py

@@ -1,62 +0,0 @@
-import genanki
-import pandas as pd
-
-
-def create_model():
-    my_model = genanki.Model(
-      1607392319,
-      'Simple Model',
-      fields=[
-        {'name': 'Question'},
-        {'name': 'Answer'},
-      ],
-      templates=[
-        {
-          'name': 'Card 1',
-          'qfmt': '{{Question}}',
-          'afmt': '{{FrontSide}}<hr id="answer">{{Answer}}',
-        },
-      ])
-    return my_model
-
-
-def create_note(model, fields):
-    note = genanki.Note(
-        model=model,
-        fields=fields
-    )
-    return note
-
-
-def create_deck(name):
-    deck = genanki.Deck(
-      2059400110,
-      name
-    )
-    return deck
-
-
-def save_deck(deck, destination):
-    my_package = genanki.Package(deck)
-    # my_package.media_files = ['sound.mp3', 'images/image.jpg']
-    my_package.write_to_file(destination)
-
-
-def load_csv(path):
-    df = pd.read_csv(path, header=None)
-    return df
-
-
-def add_df_to_deck(df: pd.DataFrame, deck: genanki.Deck):
-    model = create_model()
-    for x in df.to_dict('records'):
-        note = create_note(model, fields=(x[2], x[3]))
-        deck.add_note(note)
-    return deck
-
-
-def basic_pandas_to_anki(csv_path, output_path, name):
-    df = load_csv(csv_path)
-    deck = create_deck(name)
-    add_df_to_deck(df, deck)
-    save_deck(deck, output_path)

pyproject.toml

@@ -0,0 +1,3 @@
+[build-system]
+requires = ["setuptools"]
+build-backend = "setuptools.build_meta"

requirements.txt

@@ -1,3 +1,4 @@
 click
 genanki
-pandas
+pandas
+pyyaml

setup.py

@@ -0,0 +1,32 @@
+from setuptools import setup, find_packages
+
+
+def readme():
+    with open("README.md") as f:
+        return f.read()
+
+
+setup(
+    name='ankimaker',
+    version='0.0.4',
+    description='Makes anki with files',
+    url="https://git.lgoon.xyz/gabriel/ankimaker",
+    license="BSD-3-Clause",
+    license_files='LICENSE',
+    packages=find_packages('src', include=['ankimaker*']),
+    package_dir={"": "src"},
+    entry_points={
+        'console_scripts': [
+            'ankimaker=ankimaker.cli:main',
+        ]
+    },
+    include_package_data=True,
+    long_description=readme(),
+    install_requirements=[
+        "click",
+        "genanki",
+        "pandas",
+        "pyyaml",
+    ],
+    long_description_content_type='text/markdown',
+)

src/ankimaker/__init__.py

@@ -0,0 +1 @@
+from .cli import main

src/ankimaker/cli.py

@@ -4,6 +4,3 @@ from ankimaker.commands import cli
 def main():
     cli(prog_name='ankimaker')
 
-
-if __name__ == '__main__':
-    main()

src/ankimaker/commands/__init__.py

@@ -4,4 +4,5 @@ import click
 def cli():
     pass
 
-from ankimaker.commands.from_csv import generate_anki
+
+from ..commands.from_csv import generate_anki

src/ankimaker/commands/from_csv.py

@@ -5,8 +5,8 @@ from ankimaker.tasks import basic_pandas_to_anki
 
 
 @cli.command('csv')
-@click.option('-i', '--input', 'input_file', type=click.Path(exists=True))
+@click.argument('-i', '--input', 'input_file', type=click.Path(exists=True))
-@click.option('-o', '--output', 'output_file', type=click.Path(exists=False))
+@click.argument('-o', '--output', 'output_file', type=click.Path(exists=False))
 @click.option('-c', '--conf', 'config_file', default=None, type=click.STRING)
 @click.option('-n', '--name', 'name', default=None, type=click.STRING)
 def generate_anki(
@@ -18,7 +18,7 @@ def generate_anki(
     output_file = parse_output(output_file)
     if name is None:
         name = get_name_from_output(output_file)
-    basic_pandas_to_anki(input_file, output_file, name)
+    basic_pandas_to_anki(input_file, output_file, name, config_file)
 
 
 def parse_output(filename):

src/ankimaker/config/__init__.py

@@ -0,0 +1,2 @@
+from .load_config import load_config_file
+from .configuration import AnkimakerConfig as Config

src/ankimaker/config/configuration.py

@@ -0,0 +1,23 @@
+import yaml
+
+
+class AnkimakerConfig(yaml.YAMLObject):
+    yaml_tag = '!ankimakerconfig'
+    header = None
+    question_column = None
+    answer_column = None
+    separators = ','
+
+    def __init__(self, header=None, answer_column=None, question_column=None):
+        AnkimakerConfig.answer_column = answer_column
+        AnkimakerConfig.question_column = question_column
+        AnkimakerConfig.header = header
+        AnkimakerConfig.AnkimakerConfig = AnkimakerConfig
+
+    @staticmethod
+    def loader(configuration_content):
+        content = configuration_content['AnkimakerConfig']
+        AnkimakerConfig.header = content.header
+        AnkimakerConfig.question_column = content.question_column
+        AnkimakerConfig.answer_column = content.answer_column
+        AnkimakerConfig.separators = content.separators

src/ankimaker/config/load_config.py

@@ -0,0 +1,19 @@
+from pathlib import Path
+import yaml
+
+from .configuration import AnkimakerConfig
+
+
+def load_config_file(file_path: str):
+    """
+    Load yaml configuration file.
+    :param file_path: Path to yaml file with configuration
+    :return: Dict config
+    """
+    file_path = Path(file_path)
+    assert file_path.exists()
+    assert file_path.is_file()
+    with open(file_path, 'r') as file:
+        yaml.add_path_resolver('!ankimakerconfig', ['AnkimakerConfig'], dict)
+        configuration = yaml.load(file.read(), Loader=yaml.Loader)
+        AnkimakerConfig.loader(configuration)

src/ankimaker/generator/__init__.py

@@ -0,0 +1,5 @@
+from . import (
+    deck,
+    # models,
+    # card
+)

src/ankimaker/generator/deck.py

@@ -0,0 +1,19 @@
+import uuid
+import genanki
+
+
+def create_deck(name, deck_id=None):
+    if deck_id is None:
+        deck_id = int(int(uuid.uuid4())//1e20)
+    deck = genanki.Deck(
+      deck_id,
+      name
+    )
+    return deck
+
+
+def save_deck(deck, destination, media_files=None):
+    my_package = genanki.Package(deck)
+    if media_files is not None:
+        my_package.media_files = ['sound.mp3', 'images/image.jpg']
+    my_package.write_to_file(destination)

src/ankimaker/tasks/basic_csv_to_anki.py

@@ -0,0 +1,69 @@
+import genanki
+import pandas as pd
+
+from ankimaker.config import Config
+from ankimaker import generator, config
+
+
+def create_model():
+    my_model = genanki.Model(
+      1607392319,
+      'Simple Model',
+      fields=[
+        {'name': 'Question'},
+        {'name': 'Answer'},
+      ],
+      templates=[
+        {
+          'name': 'Card 1',
+          'qfmt': '<div style="text-align: center;">{{Question}}</div>',
+          'afmt': '{{FrontSide}}<hr id="answer"><div style="text-align: center;">{{Answer}}</div>',
+        },
+      ])
+    return my_model
+
+
+def create_note(model, fields):
+    note = genanki.Note(
+        model=model,
+        fields=fields
+    )
+    return note
+
+
+def load_csv(path):
+    df = pd.read_csv(path, header=Config.header, sep=Config.separators)
+    df_columns_are_unnamed = all(map(lambda x: str(x).isnumeric(), df.columns))
+    if df_columns_are_unnamed:
+        Config.answer_column = int(Config.answer_column)
+        Config.question_column = int(Config.question_column)
+    return df
+
+
+def add_df_to_deck(df: pd.DataFrame, deck: genanki.Deck):
+    model = create_model()
+
+    for entry in df.to_dict('records'):
+        question = entry[Config.question_column]
+        answer = entry[Config.answer_column]
+        content_fields = (question, answer)
+        note = create_note(model, fields=content_fields)
+        deck.add_note(note)
+    return deck
+
+
+def handle_config(config_file_path):
+    if config_file_path is None:
+        Config.header = None
+        Config.question_column = 0
+        Config.answer_column = 1
+    else:
+        config.load_config_file(config_file_path)
+
+
+def basic_pandas_to_anki(csv_path, output_path, name, config_file_path):
+    handle_config(config_file_path)
+    df = load_csv(csv_path)
+    deck = generator.deck.create_deck(name)
+    add_df_to_deck(df, deck)
+    generator.deck.save_deck(deck, output_path)