revampDB 1.0.1.1

An Easiest Atomic Database

RevampDB: Easiest Atomic Database

RevampDB is a minimalist and robust Python utility class designed for simple, persistent key-value storage. It enables developers to quickly save and retrieve data to a local file, serving as an ideal lightweight database replacement for small-scale applications, configuration management, or caching layers.

Core Modes & Serialization

The class offers two distinct operational modes for handling data serialization:

1. Pickle Mode (mode=False, Default):

   • Utilizes the standard Python pickle module.
   • Provides efficient serialization of complex Python objects (e.g., custom classes, complex nested structures).
   • Files are non-human-readable and are best for internal application use.

2. Json Mode (mode=True):

   • Utilizes the built-in json module.
   • Ensures data is human-readable, easily shareable, and portable across different systems or languages.
   • Requires data to be composed of standard JSON-compatible types (lists, dictionaries, strings, numbers, boolean, null).

Key Features

• Simple API: Offers intuitive methods (WriteDatabase, ReadDatabase, etc.) for managing data and the underlying file.
• Dual Format Support: Seamlessly handles both pickle (binary) and json (text) formats based on the initialization mode.
• Atomic Write Operation: Guarantees data integrity by utilizing a temporary file during the write process. After the data has been fully and successfully written, preventing file corruption upon interruption.
• Optional Logging: Provides clear console output to track successful write and delete operations when enabled (logging=True).

Installation & Usage

Installation

If packaged on PyPI, installation is standard:

pip install revampDB

(Note: As a single-file class, you may also integrate the source file directly into your project.)

Usage Example

from revampDB import database # Assuming the class is named 'database' in your module

# 1. JSON Mode (mode=True)
db_config = database("config.json", mode=True, logging=True)
db_config.WriteDatabase({"username": "alice", "email": "[e-mail]"}, cell="user_profile")

# Retrieve and print specific data
profile = db_config.ReadDatabase("user_profile")
print(f"User Profile: {profile}") 
# Output: User Profile: {'username': 'alice', 'email': '[e-mail]'}

# 2. Pickle Mode (mode=False) - suitable for complex objects
db_cache = database("data.dat", mode=False)
db_cache.WriteDatabase([1, 2, 3, {'a': 1}], cell="data_list")

# Read entire database contents
all_data = db_cache.ReadEntireDatabase()
print(f"All Data: {all_data}")
# Output: All Data: {'data_list': [1, 2, 3, {'a': 1}]}