nested-property 1.1.1

A python based library inspired by nested-property module in javascript

Nested Property Library for Python

A lightweight Python library for accessing, modifying, and manipulating nested dictionaries and lists using dot-separated paths. Inspired by JavaScript libraries like nested-property, with support for multi-character list index prefixes.

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Features

• Get nested values: get(obj, path)
• Set nested values: set(obj, path, value)
• Delete nested values: delete(obj, path)
• Check existence: has(obj, path)
• Push values to nested lists: push(obj, path, value)
• Pull values from nested lists: pull(obj, path, value=None, index=None)
• Supports list indices with optional prefixes, e.g., "$0" or "idx_0"
• Default behavior treats numeric keys as list indices automatically (index_prefix=None)

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Installation

pip install nested-property

Usage

import the functions

from nested_property import get, set, delete, has, push, pull

Note that you can also import unset which is an alias for delete

Basic usage

data = {"a": {"b": {"c": 42}}}

# Get a value
print(get(data, "a.b.c"))  # 42

# Set a value
set(data, "a.b.d", 100)
print(data)  # {'a': {'b': {'c': 42, 'd': 100}}}

# Check existence
print(has(data, "a.b.c"))  # True

# Delete a value
delete(data, "a.b.c")
print(has(data, "a.b.c"))  # False

Working with lists

data = {"items": [1, 2, 3]}

# Push a value to a list
push(data, "items", 4)
print(get(data, "items"))  # [1, 2, 3, 4]

# Pull a value by value
pull(data, "items", value=2)
print(get(data, "items"))  # [1, 3, 4]

# Pull a value by index
pull(data, "items", index=0)
print(get(data, "items"))  # [3, 4]

Using index prefix

data = {}

# Use "@" as prefix
set(data, "[e-mail]", [1, 2, 3], index_prefix="@")
push(data, "[e-mail]", 4, index_prefix="@")
print(get(data, "[e-mail]", index_prefix="@"))  # [1, 2, 3, 4]

# Use multi-character prefix "idx_"
set(data, "x.y.idx_0.list", [10, 20], index_prefix="idx_")
pull(data, "x.y.idx_0.list", value=10, index_prefix="idx_")
print(get(data, "x.y.idx_0.list", index_prefix="idx_"))  # [20]

Mixed usage

data = {"a": [{"b": [1, 2, 3]}]}

# Numeric keys work without prefix
print(get(data, "a.0.b"))  # [1, 2, 3]

# Push to nested list
push(data, "a.0.b", 4)
print(get(data, "a.0.b"))  # [1, 2, 3, 4]

API

Function	Description	Parameters
get(obj, path, default=None, index_prefix=None, query=None)	Get nested value	obj: dict/list, path: str/list[str], default: any, index_prefix: str or None, query: dict or None
set(obj, path, value, index_prefix=None)	Set nested value	obj: dict/list, path: str/list[str], value: any, index_prefix: str or None
delete(obj, path, index_prefix=None)	Delete nested value	obj: dict/list, path: str/list[str], index_prefix: str or None
unset(obj, path, index_prefix=None)	Alias for Delete	obj: dict/list, path: str/list[str], index_prefix: str or None
has(obj, path, index_prefix=None)	Check if nested value exists	obj: dict/list, path: str/list[str], index_prefix: str or None
push(obj, path, value, index_prefix=None)	Append value to nested list	obj: dict/list, path: str/list[str], value: any, index_prefix: str or None
pull(obj, path, value=None, index=None, index_prefix=None)	Remove value from nested list by value or index	obj: dict/list, path: str[str], value: any, index: int, index_prefix: str or None

Notes

Dot-separated paths are used for nested keys, e.g., "a.b.c" or "x.y.0.z".

Index prefixes allow you to distinguish numeric dictionary keys from list indices.

When index_prefix=None (default), any key that is a valid integer string is treated as a list index automatically.

Where path is a list the functions return a list or where its an editing functions (e.g. set, pull, push) the effect is applied to the paths one after the other.

When using the pull function, when value is a dict it is used as a query.

License

MIT License

Author

Created by Giles Tetteh. Inspired by JavaScript nested-property library.