diggity 0.1.1

A utility library for working with nested objects and handling optional values. Inspired by Ruby `dig` function for safely accessing deeply nested structures

Diggity

Diggity is a Python library that provides functionality similar to Ruby's dig method. It allows you to traverse nested data structures to extract values using a specified path or return a default value when the traversal is unsuccessful.

Additionally, it includes coalesce and coalesce_logical functions for handling optional values and finding the first non-None or truthy value in a sequence.

Features

• dig_path: Extract value from nested data structures using dot-separated path.
• dig: Extract value from nested data structures using a sequence of keys, indices or attributes provided via *args.
• coalesce: Returns the first non-None value from a sequence of arguments.
• coalesce_logical: Returns the first truthy value from a sequence of arguments.

Installation

To install Diggity, simply run the following command:

pip install diggity

Usage

Extracting Nested Values

You can extract values from nested data structures in various ways. Below are some examples.

import diggity

data = {
    "users": [
        {
            "name": "Alice",
            "age": 30,
            "preferences": {
                "languages": ["Python", "Rust", "Go"]
            }
        },
    ]
}

# Extracting a value using a dotted path
name = diggity.dig_path(data, "users.0.name")  # Returns: "Alice"
# Or
name = diggity.dig(data, "users", 0, "name")  # Also returns: "Alice"

# Extracting a non-existing value, returning None
hobby = diggity.dig_path(data, "users.0.hobby")  # Returns: None
# Or
hobby = diggity.dig(data, "users", 0, "hobby")  # Also returns: None

# Providing a default value for a non-existing path
hobby_with_default = diggity.dig(data, "users", 0, "hobby", default="No hobby specified")  # Returns: "No hobby specified"

# Using a custom separator
favorite_language = diggity.dig_path(data, "users:0:preferences:languages:0", sep=":")  # Returns: "Python"

Handling Optional Values with coalesce

The coalesce function returns the first non-None value from a sequence of arguments.

import diggity

# Returns the first non-None value
result = diggity.coalesce(None, None, 42, None)  # Returns: 42

# Returns None if all values are None
result = diggity.coalesce(None, None, None)  # Returns: None

# Works with mixed types
result = diggity.coalesce(None, False, 0, "hello")  # Returns: False

Finding the First Truthy Value with coalesce_logical

The coalesce_logical function returns the first truthy value from a sequence of arguments.

import diggity

# Returns the first truthy value
result = diggity.coalesce_logical(None, False, 42, 0)  # Returns: 42

# Returns None if all values are falsy
result = diggity.coalesce_logical(None, False, 0, "")  # Returns: None

# Works with mixed types
result = diggity.coalesce_logical(None, False, "hello", 0)  # Returns: "hello"

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue.

Acknowledgments

This project uses PyO3 to bridge Rust and Python. Special thanks to the contributors of the PyO3 library.