UniCoreFW-PY

UniCoreFW-py - A Versatile Python Framework

UniCoreFW-py is a robust Python-based framework inspired by UnderscoreJS, offering a comprehensive suite of utilities and functional programming tools. It's designed to enhance security, performance, and ease of use for developers building Python applications.

Key Features

• Flexible Test Execution: Quickly run example scripts through the command line for efficient prototyping and testing.
• Utility Functions: Access a wide range of utility methods tailored for functional programming, string manipulation, and more.
• Secure Execution: Built-in security measures safeguard code execution and handle user inputs reliably.

Quick Start Guide

Simplifying functional programming with UniCoreFW-PY is straightforward. Here's a quick example:

from unicorefw import UniCoreFW, UniCoreFWWrapper

def _(collection):
    return UniCoreFWWrapper(collection)

# Attach functions from 'UniCoreFW' directly to '_'
for func_name in dir(UniCoreFW):
    if callable(getattr(UniCoreFW, func_name)) and not func_name.startswith("_"):
        setattr(_, func_name, getattr(UniCoreFW, func_name))

# Example usage:
result = _([1, 2, 3, 4, 5]).map(lambda x: x * 2).filter(lambda x: x > 5).value()
print(result)  # Expected output: [6, 8, 10]

# Using a static function call
template = "Name: <%= name %>, Age: <%= age %>"
context = {"name": "Alice", "age": 25}
result = _.template(template, context)
print(result)  # Expected output: "Name: Alice, Age: 25"

Feature Highlights

Array Functions

• Mapping and Reducing: _.map, _.reduce, _.find, _.filter
• Sorting and Grouping: _.sort_by, _.group_by
• Collection Manipulation: _.shuffle, _.partition

Object Functions

• Key-Value Manipulation: _.keys, _.values, _.map_object
• Inspection and Validation: _.has, _.is_equal, _.is_empty

Utility and Functional Tools

• Randomization: _.random
• Chaining: _.chain, _.value
• Template Rendering: _.template

Security Considerations

• Safe Execution: Code execution is strictly sandboxed.
• Input Validation: Validates command-line inputs to prevent potential security breaches.

Contribution

UniCoreFW welcomes contributions. Interested contributors should:

1. Adhere to the guidelines in CODE_OF_CONDUCT.md.
2. Fork the repository.
3. Create a feature branch.
4. Submit well-documented pull requests.

For more detailed information, refer to the documentation. UniCoreFW-PY streamlines Python development by providing essential tools that focus on simplicity, versatility, and security.