mlcbase 1.2.4

The base module of all MuLingCloud modules and applications.

Introduction

Welcome to use MuLingCloud. We aim to let everything easier.

MLCBase is an open source Python library for multiple uses. It is the base module of all MuLingCloud modules and applications.

Supported platforms:

• 😄 Windows (Python 3.6+)
• 😄 Linux (Python 3.7+)
• MacOS (untested, maybe. I don't have a MacOS machine😫. Anyone can help me?)

Features (v1.2.4)

• Register

  We define a Registry to register modules, which allow you to use the module by a config file.

• Config Dictionary

  We define a ConfigDict for more convenience usage. It is a type of dictionary inherited from dict. It has all the features of dict while including other more convenient features.

• Logger

  We build a Logger for more convenience logging management. Actually, this is a slightly improvement based on loguru. Refer to pylog for more information.

• Runtime Analysis

  We offer a simple way to evaluate functions in the Python project. All you need is to wrap the target function by a decorator.

• Emoji Progress Bar

  We offer a simple progress bar with emoji status, which has the same usage with tqdm.

• File Operations

  We offer various features to make file operations easier. Besides, we offer a simple way to load and save JSON, YAML, XML and TOML files.

• Image IO

  We offer a simple way to load and save images.

• One-Time Password

  We support two methods for OTP: Time-based One-Time Password (TOTP) and HMAC-based One-Time Password (HOTP).

• Encryption and Decryption

  We offer various methods to encrypt and decrypt or verify text, files and passwords including RSA, AES and Hash.

• Database

  We offer a simple way to operate the database. Supported database backend: MySQL, SQLite.

• Remote Connection

  We support SSH and SFTP for remote connection.

• Email

  We offer a simple API to send email. Currently only supports SMTP (with SSL) server.

• HashiCorp Vault

  We offer several APIs to operate HashiCorp/Vault through HTTP requests. Supported authorization methods: token, username & password. Supported secret engines: KV v1, KV v2, TOTP, Transit.

Installation

pip install mlcbase -i https://pypi.org/simple

Getting Started

Please refer to tutorial.ipynb for more intuitive instructions.

Changelogs

See all changes in CHANGELOG.

Contributors

We appreciate all the contributors who add new features or fix bugs, as well as the users who offer valuable feedback.

We welcome all contributors, feel free to create an issue or file a pull request and join us! ❤️

Weiming Chen 💻 🤔 📆 ⚠️ ✅

Yuanshuang Sun 🤔 ⚠️ ✅

License

This project is released under the Apache 2.0 license.

Repository

• Github Repository: https://github.com/mulingcloud/mlcbase
• GitLab Repository: https://gitlab.com/wm-chen/mlcbase
• Gitee Repository: https://gitee.com/mulingcloud/mlcbase