add bulk procesing
This commit is contained in:
@@ -24,3 +24,7 @@ indent_style = tab
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[*.{js,css,scss,html,xml}]
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indent_style = space
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indent_size = 2
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[*.{dictionary,dictation,phrases}.txt]
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indent_style = tab
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indent_size = 8
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@@ -35,7 +35,7 @@ dependencies = [
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"torchcodec",
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"python-dotenv",
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"qwen-tts",
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# "flash-attn"
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]
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[project.optional-dependencies]
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@@ -3,4 +3,4 @@
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# SPDX-FileCopyrightText: 2026-present Wolfang Torres <wolfang.torres@gmail.com>
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#
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# SPDX-License-Identifier: GPL-3.0-or-later
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__version__ = "0.1.3"
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__version__ = "0.2.0"
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@@ -5,6 +5,7 @@ from pathlib import Path
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# Local
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from .api import (
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folder_proccess,
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is_file,
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list_input_files,
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pre_process_a_dictionary_file,
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@@ -12,9 +13,20 @@ from .api import (
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process_a_dictionary_file,
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process_a_phrases_file,
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select_file,
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select_folder,
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)
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from .constants import DICTATION_TYPE, DICT_TYPE, LANGUAGES, PHRASES_TYPE
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from .utility import ProcessFile
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from .utility import ProcessFile, ProcessFolder
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def cli_choose_work_type() -> str:
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"""entry point for interactive interface"""
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option = None
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while not option in ["s", "f", "e"]:
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option = input(
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"Please select the work option:\n" "s: single file, f:folder, e:exit\n"
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)
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return option
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def cli_select_files() -> ProcessFile:
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@@ -38,6 +50,30 @@ def cli_select_files() -> ProcessFile:
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return input_file
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def cli_select_folder() -> ProcessFile:
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"""Loops until it finds a valid input_folder"""
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print("Select data folder:")
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in_folder = None
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level = Path()
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while not in_folder:
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files = list_input_files(level)
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for n, file in enumerate(files):
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print(f"{n+1} - {file}")
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s = None
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while not s or not s.isnumeric() or not 1 <= int(s) <= len(files):
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s = input(f"Please select the file [1-{len(files)}]: ")
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selected = files[int(s) - 1]
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print(f"Selected {selected}")
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s = None
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while s not in ("yes", "y", "no", "n"):
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s = input("if this the folder? (yes/no, go inside)")
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if s in ("yes", "y"):
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in_folder = selected
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else:
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level = selected
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return select_folder(in_folder)
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def cli_select_dictionay_tsv() -> bool:
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"""If a dictionary file is selected, ask if the user wants to proccess it"""
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s = None
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@@ -74,29 +110,38 @@ def cli_select_language(languages: list = None) -> str:
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def main():
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"""CLI interface for the module"""
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while True:
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option = cli_choose_work_type()
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if option == "e":
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break
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elif option == "s":
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input_file = cli_select_files()
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if DICT_TYPE in input_file.input_file.suffixes:
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dict_selected = cli_select_dictionay_tsv()
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if dict_selected:
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language_id = cli_select_language()
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print(
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f"pre-processing file {input_file} with language {language_id}"
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)
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pre_process_a_dictionary_file(input_file, language_id)
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else:
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print(f"Processing file {input_file} with language {language_id}")
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language_id = cli_select_language(
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input_file.available_dictionary_languages
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)
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process_a_dictionary_file(input_file, language_id)
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elif PHRASES_TYPE in input_file.input_file.suffixes:
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language_id = cli_select_language()
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print(
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f"processing file {input_file.input_file} with language {language_id}"
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)
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print(f"processing file {input_file} with language {language_id}")
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process_a_phrases_file(input_file, language_id)
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elif DICTATION_TYPE in input_file.input_file.suffixes:
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language_id = cli_select_language()
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print(
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f"processing file {input_file.input_file} with language {language_id}"
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)
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print(f"processing file {input_file} with language {language_id}")
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process_a_dictation_file(input_file, language_id)
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elif option == "f":
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in_folder = cli_select_folder()
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language_id = cli_select_language()
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print(f"Selected: {in_folder} with language {language_id}")
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folder_proccess(in_folder, language_id=language_id)
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if __name__ == "__main__":
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@@ -12,7 +12,7 @@ from genanki import Deck, Model, Note, Package
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from pinyin_tone_converter.pinyin_tone_converter import PinyinToneConverter
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# Local
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from .utility import DictionaryResult, ProcessFile, TranslationResult
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from .utility import DictionaryResult, ProcessFile, ProcessFolder, TranslationResult
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# Constants
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@@ -153,7 +153,6 @@ def output_anki_dictation(
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f"Deck for {final_file.name}, "
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"created in https://www.wolfang.info.ve/hskankicreator/",
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)
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package = Package(deck)
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audios = []
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for result in results:
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note = Note(
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@@ -166,6 +165,7 @@ def output_anki_dictation(
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)
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deck.add_note(note)
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audios.append(result.audio_path)
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package = Package(deck)
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package.media_files = audios
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package.write_to_file(final_file)
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return final_file
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@@ -236,3 +236,36 @@ def output_anki_phrase(
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package.media_files = audios
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package.write_to_file(final_file)
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return final_file
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def output_anki_package(
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process_folder: ProcessFolder, results: dict[ProcessFile, list[TranslationResult]]
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):
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final_file = process_file.output_name.with_suffix(".apkg")
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decks = []
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audios = []
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for process_file, results in results.items():
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deck_name = "::".join(
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ProcessFolder.input_folder.parts[:-1] + (ProcessFolder.output_name.stem,)
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)
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deck = Deck(
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random.randrange(1 << 30, 1 << 31),
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deck_name,
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f"Deck for {final_file.name}, "
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"created in https://www.wolfang.info.ve/hskankicreator/",
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)
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for result in results:
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note = Note(
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model=DICTATION_MODEL,
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fields=[
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result.translated,
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result.line,
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f"[sound:{result.audio_path}]",
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],
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)
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deck.add_note(note)
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audios.append(result.audio_path)
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decks.append(deck)
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package = Package(decks)
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package.media_files = audios
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package.write_to_file(final_file)
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@@ -24,11 +24,12 @@ from .constants import (
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)
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from .proccessor import (
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dictation_process,
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dictionary_bulk_process,
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dictionary_pre_process,
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dictionary_process,
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translator_process,
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)
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from .utility import CCCEDICT, TRANS, TTS, ProcessFile
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from .utility import CCCEDICT, TRANS, TTS, ProcessFile, ProcessFolder
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# interface
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@@ -80,6 +81,14 @@ def select_file(file_path: Path) -> ProcessFile:
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raise ValueError(f"{file_path} is not a file")
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def select_folder(file_path: Path) -> ProcessFile:
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"""Given a relative path from `list_input_files`, return a ProcessFile"""
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if (INPUT / file_path).is_dir():
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return ProcessFile(file_path)
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else:
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raise ValueError(f"{file_path} is not a folder")
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def create_folder(file_path: Path) -> ProcessFile:
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"""Creates a folder in a file_path"""
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input_folder = INPUT / file_path
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@@ -237,3 +246,33 @@ def process_a_phrases_file(process_file: ProcessFile, language_id: str) -> Path:
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text_lines = [line.strip() for line in file.readlines() if line.strip()]
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results = translator_process(text_lines, process_file)
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return output_anki_phrase(process_file, results)
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def folder_proccess(process_folder: ProcessFolder, language_id: str):
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process_folder.language_id = language_id
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TTS.create_tts()
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TRANS.create_translator(LANGUAGES.CN, language_id)
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CCCEDICT.create_cedict(language_id)
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results = {}
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for file in process_folder.input_files:
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if file.file_type is DICT_TYPE:
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with file.absolute_input_file.open(
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"r", encoding="utf8", newline="\n"
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) as file:
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words_list = [word.strip() for word in file.readlines() if word]
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dictionary_bulk_process(words_list, file)
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results[file] = dictionary_process(file)
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elif file.file_type is DICTATION_TYPE:
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with file.absolute_input_file.open(
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"r", encoding="utf8", newline="\n"
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) as file:
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text_lines = [
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line.strip() for line in file.read().split("。") if line.strip()
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]
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results[file] = dictation_process(text_lines, file)
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elif file.file_type is PHRASES_TYPE:
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with file.absolute_input_file.open(
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"r", encoding="utf8", newline="\n"
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) as file:
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text_lines = [line.strip() for line in file.readlines() if line.strip()]
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results[file] = translator_process(text_lines, file)
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@@ -34,7 +34,8 @@ class LANGUAGES:
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RU = "ru"
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TR = "tr"
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TH = "th"
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AvailableLanguages = (EN, ES, FR, RU, TR, TH)
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JP = "jp"
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AvailableLanguages = (EN, ES, FR, RU, TR, TH, JP)
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LanguageNames = {
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EN: "English",
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ES: "Spanish",
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@@ -42,4 +43,5 @@ class LANGUAGES:
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RU: "Russian",
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TR: "Turkish",
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TH: "Thai",
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JP: "Japanese",
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}
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@@ -2,6 +2,7 @@
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# Standard Library
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import csv
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import uuid
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# Pip
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import argostranslate.translate
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@@ -13,7 +14,7 @@ from .utility import CCCEDICT, TTS, DictionaryResult, ProcessFile, TranslationRe
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# Constants
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FIELDNAMES = ["simplified", "traditional", "pinyin", "meaning"]
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FIELDNAMES = ["n" "simplified", "traditional", "pinyin", "meaning"]
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DIALECT = "excel-tab"
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# Results Classes
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@@ -26,9 +27,6 @@ def dictation_process(
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results = []
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for n, line in enumerate(text_lines):
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audio_line = line.strip()
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# line = " ".join(line.split())
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# audio_line = " ".join(line)
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# audio_line = audio_line.replace(",", ",。。。]")
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audio_path = process_file.resources / f"N{n:03n}.wav"
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if not audio_path.exists():
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wavs, sr = TTS.generate(f"{audio_line}。")
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@@ -49,9 +47,6 @@ def translator_process(
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results = []
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for n, line in enumerate(text_lines):
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audio_line = line.strip()
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# line = " ".join(line.split())
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# audio_line = " ".join(line)
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# audio_line = audio_line.replace(",", ",。。。]")
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audio_path = process_file.resources / f"N{n:03n}.wav"
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if not audio_path.exists():
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wavs, sr = TTS.generate(f"{audio_line}。")
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@@ -65,6 +60,61 @@ def translator_process(
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return results
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def dictionary_bulk_process(words_list: list[str], process_file: ProcessFile):
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dictionary = CCCEDICT.create_cedict(process_file.language_id)
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with process_file.dictionary_resource_file.open(
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"w", encoding="utf8", newline=""
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) as resource_file:
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tsv_writer = csv.DictWriter(
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resource_file, dialect=DIALECT, fieldnames=FIELDNAMES
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)
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tsv_writer.writeheader()
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number = 1
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for words in words_list:
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word = words.split()[0]
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hint = " ".join(words.split()[1:]) if len(words.split()) > 1 else None
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if entries := dictionary.get(word):
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if len(entries) > 1:
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print(f"\nWARNING: {word} has multiple meanings:")
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pos_meanings = (
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[
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entry
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for entry in entries
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for meaning in entry.meaning
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if hint in meaning
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]
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if hint
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else []
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)
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pos_entries = pos_meanings or entries
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meanings = "\n".join(
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f"{i} - {entry.meaning}" for i, entry in enumerate(pos_entries)
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)
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tsv_writer.writerow(
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{
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"n": n,
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"simplified": entry.simplified,
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"traditional": entry.traditional,
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"pinyin": entry.pinyin,
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"meaning": meanings,
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}
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)
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else:
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print("============================================")
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print(f"===================>ERROR: {word} not found")
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print("============================================")
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tsv_writer.writerow(
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{
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"n": number,
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"simplified": word,
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"traditional": None,
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"pinyin": None,
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"meaning": None,
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}
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)
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number += 1
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def dictionary_pre_process(words_list: list[str], process_file: ProcessFile):
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"""Pre Process dictionary files into a intermediary resources file"""
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dictionary = CCCEDICT.create_cedict(process_file.language_id)
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@@ -75,18 +125,32 @@ def dictionary_pre_process(words_list: list[str], process_file: ProcessFile):
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resource_file, dialect=DIALECT, fieldnames=FIELDNAMES
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)
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tsv_writer.writeheader()
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n = 1
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for words in words_list:
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word = words.split()[0]
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pinyin = " ".join(words.split()[1:]) if len(words.split()) > 1 else None
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hint = " ".join(words.split()[1:]) if len(words.split()) > 1 else None
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if entries := dictionary.get(word):
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if pinyin is not None:
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entries = list(filter(lambda x: x.pinyin == pinyin, entries))
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# if pinyin is not None:
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# filtered_entries = tuple(filter(lambda x: x.pinyin == pinyin, entries))
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if len(entries) > 1:
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print(f"\nWARNING: {word} has multiple meanings:")
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for entry in entries:
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pos_meanings = (
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[
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entry
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for entry in entries
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for meaning in entry.meaning
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if hint in meaning
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]
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if hint
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else []
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)
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pos_entries = pos_meanings or entries
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for entry in pos_entries:
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for meaning in entry.meanings:
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if pos_meanings and hint in meaning or not pos_meanings:
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tsv_writer.writerow(
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{
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"n": n,
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"simplified": entry.simplified,
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"traditional": entry.traditional,
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"pinyin": entry.pinyin,
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@@ -99,12 +163,14 @@ def dictionary_pre_process(words_list: list[str], process_file: ProcessFile):
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print("============================================")
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tsv_writer.writerow(
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{
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"n": n,
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"simplified": word,
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"traditional": None,
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"pinyin": None,
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"meaning": None,
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}
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)
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n += 1
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def dictionary_process(process_file: ProcessFile) -> list[DictionaryResult]:
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@@ -5,6 +5,7 @@ Static clasess and functions for general use
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"""
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# Standard Library
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import random
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from pathlib import Path
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# Pip
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@@ -15,7 +16,17 @@ from cedict_utils.cedict import CedictEntry, CedictParser
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from qwen_tts import Qwen3TTSModel
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# Local
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from .constants import CCCEDICT_PATH, GWEN_TTS, INPUT, LANGUAGES, OUTPUT, RESOURCES
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from .constants import (
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CCCEDICT_PATH,
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DICTATION_TYPE,
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DICT_TYPE,
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GWEN_TTS,
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INPUT,
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LANGUAGES,
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OUTPUT,
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PHRASES_TYPE,
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RESOURCES,
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)
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# Static Clases
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@@ -46,19 +57,28 @@ class TRANS:
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packages_to_install = []
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for in_package in packages:
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if in_package.from_code == from_code:
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if in_package.to_code == to_code:
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# Single package between 2 languages
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print(
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f"Installing package {in_package.from_code}"
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f"->{in_package.to_code}"
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)
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packages_to_install.append(in_package)
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break
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for out_package in packages:
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if out_package.to_code == to_code:
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if in_package.to_code == out_package.from_code:
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print(
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f"Check in_package {in_package.from_code}"
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||||
f"{in_package.to_code}"
|
||||
f"Installing in_package {in_package.from_code}"
|
||||
f"->{in_package.to_code}"
|
||||
)
|
||||
print(
|
||||
f"Check out_package {out_package.from_code}"
|
||||
f"{out_package.to_code}"
|
||||
f"Installing out_package {out_package.from_code}"
|
||||
f"->{out_package.to_code}"
|
||||
)
|
||||
packages_to_install.append(in_package)
|
||||
packages_to_install.append(out_package)
|
||||
break
|
||||
for package in packages_to_install:
|
||||
print(f"instaling package {package}")
|
||||
argostranslate.package.install_from_path(package.download())
|
||||
@@ -143,7 +163,9 @@ class TTS:
|
||||
"language": "Chinese",
|
||||
"speaker": "Uncle_Fu",
|
||||
"instruct": "语速缓慢而审慎,每个音节的语调都拿捏得恰到好处,宛如教授在指导新生。",
|
||||
"instruct": "Speak in a slow pace and enuntiate every word, as a teacher to a learning student",
|
||||
}
|
||||
VOICES = ["Vivian", "Serena", "Uncle_Fu", "Dylan", "Eric"]
|
||||
|
||||
@staticmethod
|
||||
def create_tts():
|
||||
@@ -161,18 +183,73 @@ class TTS:
|
||||
GWEN_TTS,
|
||||
device_map=TTS.DEVICE,
|
||||
dtype=torch.bfloat16,
|
||||
attn_implementation="flash_attention_2",
|
||||
# attn_implementation="flash_attention_2",
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def generate(text: str):
|
||||
"""Generates a Waw using the defaulst values"""
|
||||
return TTS.MODEL.generate_custom_voice(text=text, **TTS.DEFAULTS)
|
||||
speaker = random.choice(TTS.VOICES)
|
||||
return TTS.MODEL.generate_custom_voice(
|
||||
text=text, **TTS.DEFAULTS, speaker=speaker
|
||||
)
|
||||
|
||||
|
||||
# Clases
|
||||
|
||||
|
||||
class ProcessFolder:
|
||||
"""Class that represents a folder to processs
|
||||
|
||||
diferent input files has direfent process_files depending on language
|
||||
"""
|
||||
|
||||
def __init__(self, input_folder: Path, language_id: str = None):
|
||||
self.input_folder = input_folder
|
||||
self._language_id = language_id
|
||||
# process file type
|
||||
self.out_folder = OUTPUT / input_folder
|
||||
self.out_folder.mkdir(parents=True, exist_ok=True)
|
||||
self.resources = RESOURCES / input_folder
|
||||
self.resources.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
@property
|
||||
def output_name():
|
||||
"""Posible name for the output file, still missing the filetype"""
|
||||
if self.language_id is None:
|
||||
raise ValueError("Not a valid language selected")
|
||||
return self.out_folder / f"{self.input_file.stem}.{self.language_id}.temp"
|
||||
|
||||
@property
|
||||
def absolute_input_file(self):
|
||||
"""Absolute input file"""
|
||||
return INPUT / self.input_file
|
||||
|
||||
@property
|
||||
def input_files(self):
|
||||
input_files = []
|
||||
for file in self.absolute_input_file.glob(f"*.txt"):
|
||||
for file_type in (DICT_TYPE, PHRASES_TYPE, DICTATION_TYPE):
|
||||
if file_type in file.suffixes:
|
||||
input_files.append(ProcessFile(file, language_id=self.language_id))
|
||||
return input_files
|
||||
|
||||
@property
|
||||
def language_id(self):
|
||||
"""language for this trasnlation process"""
|
||||
return self._language_id
|
||||
|
||||
@language_id.setter
|
||||
def language_id(self, value):
|
||||
self._language_id = value
|
||||
|
||||
def __str__(self):
|
||||
return (
|
||||
f"Proccess {self.input_folder}"
|
||||
f"(out: {self.out_folder}, res: {self.resources})"
|
||||
)
|
||||
|
||||
|
||||
class ProcessFile:
|
||||
"""Class that represents a file to processs
|
||||
|
||||
@@ -189,6 +266,17 @@ class ProcessFile:
|
||||
self.resources = resources.parent / resources.stem
|
||||
self.resources.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
@property
|
||||
def file_type(self):
|
||||
if DICTATION_TYPE in self.input_file.suffixes:
|
||||
return DICTATION_TYPE
|
||||
elif DICT_TYPE in self.input_file.suffixes:
|
||||
return DICT_TYPE
|
||||
elif PHRASES_TYPE in self.input_file.suffixes:
|
||||
return PHRASES_TYPE
|
||||
else:
|
||||
raise ValueError("File type not recognized")
|
||||
|
||||
@property
|
||||
def absolute_input_file(self):
|
||||
"""Absolute input file"""
|
||||
@@ -196,7 +284,7 @@ class ProcessFile:
|
||||
|
||||
@property
|
||||
def language_id(self):
|
||||
"""language for this trasnlation process"""
|
||||
"""language for this trasnlation proccess"""
|
||||
return self._language_id
|
||||
|
||||
@language_id.setter
|
||||
@@ -226,6 +314,9 @@ class ProcessFile:
|
||||
"""for a Dictionary file loads the avaliable proceced languages"""
|
||||
return [lan.suffixes[0][1:] for lan in self.resources.glob("dictionary.*.tsv")]
|
||||
|
||||
def __str__(self):
|
||||
return f"Proccess:{self.input_file}"
|
||||
|
||||
|
||||
class TranslationResult:
|
||||
"""Result of a translated process"""
|
||||
|
||||
Reference in New Issue
Block a user