is_subset 0.1.1

check if a given dictionary is subset of provided predicate

is_subset

is_subset is a Python utility for checking if a given dictionary (dict2) is a subset of another dictionary (dict1). It supports advanced matching features such as nested dictionaries, regular expressions, and conditional operators.

Installation

Install my-project with pip

pip install is_subset

Features

• Check if one dictionary (dict2) is a subset of another dictionary (dict1).
• Supports:
  • Exact matches
  • Nested dictionaries
  • Conditional checks like __is, __not, __in, __not_in, __matches, and __not_matches.
• Works seamlessly with Python primitives like strings, numbers, booleans, and collections.

Usage

You can check if a dictionary is subset of another using

Basic Examples

from is_subset import is_subset

# Simple matching
dict1 = {"age": 30, "name": "John"}

dict2 = {"age": 30}
print(is_subset(dict1, dict2))  # Output: True

dict2 = {"age": 25}
print(is_subset(dict1, dict2))  # Output: False

Advanced Examples

Nested Dictionary Matching

dict1 = {
    "user": {
        "name": "John",
        "details": {
            "age": 30,
            "city": "Metropolis"
        }
    }
}

dict2 = {"user": {"details": {"city": "Metropolis"}}}
print(is_subset(dict1, dict2))  # Output: True

Conditional Matching (__is, __not, __in, __not_in)

# Conditional matching for exact values
dict2 = {"user": {"details": {"city": {"__is": "Metropolis"}}}}
print(is_subset(dict1, dict2))  # Output: True

# Conditional matching for exclusion
dict2 = {"user": {"details": {"city": {"__not": "Gotham"}}}}
print(is_subset(dict1, dict2))  # Output: True

# Conditional matching for inclusion in a list
dict2 = {"user": {"details": {"age": {"__in": [25, 30]}}}}
print(is_subset(dict1, dict2))  # Output: True

# Conditional matching for exclusion in list

dict2 = {"user": {"details": {"age": {"__not_in": [20, 23]}}}}
print(is_subset(dict1, dict2))  # Output: True

Regular Expression Matching (__matches, __not_matches)

dict1 = {"email": "[e-mail]"}

# Regex matching
dict2 = {"email": {"__matches": r".*@example\.com"}}
print(is_subset(dict1, dict2))  # Output: True

# Negative regex matching
dict2 = {"email": {"__not_matches": r".*@gmail\.com"}}
print(is_subset(dict1, dict2))  # Output: True

API Reference

is_subset(dict1: dict, dict2: dict) -> bool

Parameters:

• dict1 (dict): The main dictionary to check against.
• dict2 (dict): A dictionary specifying the conditions to check.

Returns:

• bool: True if all conditions in dict2 match the dict1, otherwise False.

Supported Condition Operators:

• __is: Matches if the value is equal.
• __not: Matches if the value is not equal.
• __in: Matches if the value is in a list or collection.
• __not_in: Matches if the value is not in a list or collection.
• __matches: Matches if the value satisfies the given regex.
• __not_matches: Matches if the value does not satisfy the given regex.

Contributing

Contributions are always welcome! In case you have any request or encounter a bug, please create an issue on the repo.

Authors

• @WajahatAliAbid