"""anki_generation.py
Produces anki output
"""
# Standard Library
import random
from pathlib import Path
# Pip
from genanki import Deck, Model, Note, Package
from pinyin_tone_converter.pinyin_tone_converter import PinyinToneConverter
# Local
from .utility import DictionaryResult, ProcessFile, ProcessFolder, TranslationResult
# Constants
CSS = """
.card {
font-family: arial;
font-size: 20px;
text-align: center;
color: black;
background-color: white;
}
.simple {
font-family: Arial;
font-size: 100px;
}
.trad {
font-family: Arial;
font-size: 75px;
}
"""
# Models
PHRASE_MODEL = Model(
2076166425,
"Phrase Model",
fields=[
{"name": "Translated"},
{"name": "Phrase"},
{"name": "Audio"},
],
templates=[
{
"name": "Card 1",
"qfmt": "{{Translated}}
{{Audio}}
{{type:Phrase}}",
"afmt": '{{FrontSide}}
{{Phrase}}',
},
{
"name": "Card 2",
"qfmt": "{{Phrase}}
{{Audio}}
{{type:Translated}}",
"afmt": '{{FrontSide}}
{{Translated}}',
},
{
"name": "Card 3",
"qfmt": "{{Audio}}
{{type:Phrase}}",
"afmt": '{{FrontSide}}
{{Phrase}}',
},
],
css=CSS,
)
DICTATION_MODEL = Model(
3187277536,
"Phrase Model",
fields=[
{"name": "Translated"},
{"name": "Phrase"},
{"name": "Audio"},
],
templates=[
{
"name": "Card 1",
"qfmt": "{{Audio}}
{{type:Phrase}}",
"afmt": '{{FrontSide}}
{{Phrase}}
{{Translated}}',
},
],
css=CSS,
)
HSK_MODEL = Model(
1708536519,
"HSK Model",
fields=[
{"name": "Translated"},
{"name": "Pinyin"},
{"name": "Simplified"},
{"name": "Traditional"},
{"name": "Audio"},
],
templates=[
{
"name": "Card 1",
"qfmt": (
"{{Pinyin}}"
"
{{Translated}}"
"
{{Audio}}"
"
Simplified: {{type:Simplified}}"
),
"afmt": (
"{{FrontSide}}
{{Simplified}}
"
"
{{Traditional}}
"
),
},
{
"name": "Card 2",
"qfmt": (
"{{Simplified}}
"
"
{{Traditional}}
"
"
Pinyin: {{type:Pinyin}}"
# "
Translated: {{type:Translated}}"
),
"afmt": (
"{{FrontSide}}
{{Pinyin}}"
"
{{Translated}}
{{Audio}}"
),
},
{
"name": "Card 3",
"qfmt": (
"{{Audio}}"
# "
Pinyin: {{type:Pinyin}}"
"
Simplified: {{type:Simplified}}"
),
"afmt": (
"{{FrontSide}}
{{Pinyin}}"
"
{{Simplified}}
"
"
{{Traditional}}
"
),
},
],
css=CSS,
)
# Proccess
def output_anki_dictation(
process_file: ProcessFile, results: list[DictionaryResult]
) -> Path:
"""Creates an anki file for dictation result"""
final_file = process_file.output_name.with_suffix(".apkg")
deck_name = "::".join(
process_file.input_file.parts[:-1] + (process_file.output_name.stem,)
)
deck = Deck(
random.randrange(1 << 30, 1 << 31),
deck_name,
f"Deck for {final_file.name}, "
"created in https://www.wolfang.info.ve/hskankicreator/",
)
audios = []
for result in results:
note = Note(
model=DICTATION_MODEL,
fields=[
result.translated,
result.line,
f"[sound:{result.audio_path.name}]",
],
)
deck.add_note(note)
audios.append(result.audio_path)
package = Package(deck)
package.media_files = audios
package.write_to_file(final_file)
return final_file
def output_anki_dictionary(
process_file: ProcessFile, results: list[DictionaryResult]
) -> Path:
"""Creates an anki file from a dictionary results"""
final_file = process_file.output_name.with_suffix(".apkg")
deck_name = "::".join(
process_file.input_file.parts[:-1] + (process_file.output_name.stem,)
)
deck = Deck(
random.randrange(1 << 30, 1 << 31),
deck_name,
f"Deck for {final_file.name}, "
"created in https://www.wolfang.info.ve/hskankicreator/",
)
package = Package(deck)
audios = []
for result in results:
note = Note(
model=HSK_MODEL,
fields=[
# "\n ".join(f"{n+1}. {m}" for n, m in enumerate(result.meanings)),
result.meaning,
PinyinToneConverter().convert_text(result.pinyin),
result.simplified,
result.traditional,
f"[sound:{result.audio_path.name}]",
],
)
audios.append(result.audio_path)
deck.add_note(note)
package.media_files = audios
package.write_to_file(final_file)
return final_file
def output_anki_phrase(
process_file: ProcessFile, results: list[TranslationResult]
) -> Path:
"""Creates an anki file from a phrases results"""
final_file = process_file.output_name.with_suffix(".apkg")
deck_name = "::".join(
process_file.input_file.parts[:-1] + (process_file.output_name.stem,)
)
deck = Deck(
random.randrange(1 << 30, 1 << 31),
deck_name,
f"Deck for {final_file.name}, "
"created in https://www.wolfang.info.ve/hskankicreator/",
)
package = Package(deck)
audios = []
for result in results:
note = Note(
model=PHRASE_MODEL,
fields=[
result.translated,
result.line,
f"[sound:{result.audio_path.name}]",
],
)
deck.add_note(note)
audios.append(result.audio_path)
package.media_files = audios
package.write_to_file(final_file)
return final_file
def output_anki_package(
process_folder: ProcessFolder, results: dict[ProcessFile, list[TranslationResult]]
):
final_file = process_file.output_name.with_suffix(".apkg")
decks = []
audios = []
for process_file, results in results.items():
deck_name = "::".join(
ProcessFolder.input_folder.parts[:-1] + (ProcessFolder.output_name.stem,)
)
deck = Deck(
random.randrange(1 << 30, 1 << 31),
deck_name,
f"Deck for {final_file.name}, "
"created in https://www.wolfang.info.ve/hskankicreator/",
)
for result in results:
note = Note(
model=DICTATION_MODEL,
fields=[
result.translated,
result.line,
f"[sound:{result.audio_path}]",
],
)
deck.add_note(note)
audios.append(result.audio_path)
decks.append(deck)
package = Package(decks)
package.media_files = audios
package.write_to_file(final_file)