python-byzatic-commons 0.1.7

A modular Python library with utilities for flattening, file parsing, error handling, and more.

PythonByzaticCommons

PythonByzaticCommons is a modular utility library for Python that provides a collection of reusable components for file reading, exception handling, logging, in-memory storage, singleton management, and more. Designed for extensibility and clean architecture, it helps accelerate development by offering ready-to-use patterns and interfaces.

Artifact available on pypi:
https://pypi.org/project/python-byzatic-commons/0.1.0/

pip install python-byzatic-commons

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Modules Overview

exceptions

A set of structured exception classes to formalize error handling in complex systems.

• BaseErrorException: Root base class for domain-specific exceptions.
• OperationIncompleteException: Indicates partial success or failure in operations.
• ExitHandlerException: Used to trigger early exit logic in controlled flows.
• CriticalErrorException: Raised for non-recoverable fatal errors.
• NotImplementedException: Placeholder for yet-to-be-implemented logic.

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filereaders

Unified interfaces and concrete implementations for parsing configuration files.

• Interfaces:

  • BaseReaderInterface: Defines contract for readers returning a dict from a file.

• Readers:

  • JsonFileReader: Loads .json files into Python dictionaries.
  • YamlFileReader: Loads .yaml/.yml files using PyYAML.
  • ConfigParserFileReader: Loads .ini-style config files using configparser.

All readers validate input paths and support standard Python error handling.

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in_memory_storages

In-memory key-value storage layer with interchangeable implementations and management.

• Interfaces:

  • KeyValueDictStorageInterface, KeyValueListStorageInterface, etc.

• Storages:

  • KeyValueDictStorage: Uses dict internally.
  • KeyValueListStorage: Uses list for indexed access.
  • KeyValueObjectStorage: Stores arbitrary Python objects.
  • KeyValueStringStorage, KeyValueModuleTypeStorage, etc.

• Manager:

  • StoragesManager: Central registry and access point for storage instances.

Test coverage is included in the test/ directory.

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logging_manager

Encapsulates logging configuration and output.

• LoggingManagerInterface: Describes basic logging interface (info, warn, error, etc.)
• LoggingManager: Concrete implementation wrapping Python’s built-in logging module with a consistent configuration.

Supports colored output, custom formatters, and stream redirection.

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singleton

Provides a class-based singleton pattern.

• Singleton: A metaclass-based implementation that ensures a class has only one instance across the application.

Useful for shared services like loggers, configuration managers, etc.

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Example Usage

from python_byzatic_commons.filereaders import JsonFileReader
reader = JsonFileReader()
config = reader.read("config.json")

import os
import logging
from python_byzatic_commons.logging_manager import LoggingManager

system_script_dir = os.path.abspath(os.path.dirname(__file__))
logger_config_file_path_json = os.path.join(
                system_script_dir,
                'configuration',
                'logger_configuration.json'
            )

logging_manager: LoggingManager = LoggingManager()
logging_manager.init_logging(
    logger_config_file_path_json,
    "JSON"
)
applogger = logging.getLogger("Application-logger")

applogger.debug(f"Creating context")

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License

This project is licensed under the terms of the Apache 2.0 license.