Translategram

Latest version: v0.3.0

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0.3.0

This release introduces a change in the root folder name from "auto_translategram" to `translategram`. This update aligns the folder name with the library name for better consistency and clarity. The functionality of the library remains unaffected by this change.

Changes in this release:
- Updated root folder name to `translategram`

Please refer to the release notes and updated documentation for more information. As always, feel free to provide feedback and report any issues you encounter.

0.2.0

What's Changed
* Introducing a powerful caching system for improved performance and enhanced user experience.
* Added a new module `cache.py` that provides flexible caching functionality.
* Implemented the `Cache` protocol, defining the methods for storing and retrieving cached data.
python
from typing import Protocol, TypeVar, Union

T = TypeVar('T')


class Cache(Protocol):

async def store(self, key: str, value: str) -> None:
...

async def retrieve(self, key: str) -> Union[str, None]:
...

* Implemented the `PickleCache` class, a concrete implementation of the cache using the pickle serialization protocol.
python
import pickle
from typing import Protocol, TypeVar, Union

T = TypeVar('T')

class PickleCache:
def __init__(self, obj: T, filename: str = "translation.data") -> None:
self._obj = obj
self.pickle_file = filename
with open(self.pickle_file, 'ab') as file:
pickle.dump(self._obj, file)

async def store(self, key: str, value: str) -> None:
setattr(self._obj, key, value)
with open(self.pickle_file, 'wb') as file:
pickle.dump(self._obj, file)

async def retrieve(self, key: str) -> Union[str, None]:
with open(self.pickle_file, 'rb') as file:
loaded_data = pickle.load(file)
return loaded_data.__dict__.get(key) if isinstance(loaded_data.__dict__.get(key), str) else None

* The `PickleCache` class enables storing and retrieving cached data using a pickle file for persistence.
* Updated the `translator.py` module to support the new caching system.
* Added a `cache_system` parameter to the `Translator` class constructor, allowing the specification of a cache system.
python
def __init__(self, translator_service: TranslatorService, cache_system: Union[Type[Cache], None] = None) -> None:
"""
Initializes a new Translator instance using the specified `translator_service`.

:param translator_service: The `BaseTranslatorService` to use for translations.
"""
...

* Modified the handler_translator method in the PythonTelegramBotAdapter class to utilize the cache system for translations.
* Improved the translation logic in the wrapper function of the PythonTelegramBotAdapter class to incorporate the cache system.
* Added the PickleCache import statement to the __init__.py module for convenient access to the cache functionality.

These changes introduce a robust caching system to library, enabling efficient storage and retrieval of translated data. The PickleCache implementation provides persistence and ensures that translations are readily available, reducing translation time and improving overall performance.

0.1.2

**What's Changed**

This release includes an important refactor of the `handler_translator` method, which has been transformed into a decorator function. This change simplifies the translation functionality and enhances the code structure.

0.1.1

Release Highlights:

- Fixed mypy errors and applied necessary updates.
- Improved type annotations and ensured compatibility with Python 3.10.
- Resolved compatibility issues with the python-telegram-bot framework.
- Enhanced translation functionality for better user experience.
- Refactored code for improved readability and maintainability.

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