mappingtools 0.0.2

MappingTools. Do stuff with Mappings

MappingTools

This library provides utility functions for manipulating and transforming data structures which have or include Mapping-like characteristics. Including inverting dictionaries, converting class like objects to dictionaries, creating nested defaultdicts, and unwrapping complex objects.

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Usage

dictify

Converts objects to dictionaries using handlers for mappings, iterables, and classes.

from collections import Counter
from dataclasses import dataclass
from datetime import datetime
from typing import Mapping

from mappingtools import dictify

data = {'key1': 'value1', 'key2': ['item1', 'item2']}
dictified_data = dictify(data)
print(dictified_data)
# Output: {'key1': 'value1', 'key2': ['item1', 'item2']}

counter = Counter({'a': 1, 'b': 2})
print(counter)
# Output: Counter({'b': 2, 'a': 1})

dictified_counter = dictify(counter)
print(dictified_counter)


# Output: {'a': 1, 'b': 2}


@dataclass
class SampleDataClass:
    a: int
    b: int
    aa: str
    bb: str
    c: list[int]
    d: Mapping
    e: datetime


sample_datetime = datetime(2024, 7, 22, 21, 42, 17, 314159)
sample_dataclass = SampleDataClass(1, 2, '11', '22', [1, 2], {'aaa': 111, 'bbb': '222'}, sample_datetime)

print(sample_dataclass)
# Output: SampleDataClass(a=1, b=2, aa='11', bb='22', c=[1, 2], d={'aaa': 111, 'bbb': '222'}, e=datetime.datetime(2024, 7, 22, 21, 42, 17, 314159))

dictified_sample_dataclas = dictify(sample_dataclass)
print(dictified_sample_dataclas)
# Output: {'a': 1, 'aa': '11', 'b': 2, 'bb': '22', 'c': [1, 2], 'd': {'aaa': 111, 'bbb': '222'}, 'e': datetime.datetime(2024, 7, 22, 21, 42, 17, 314159)}

distinct

Yields distinct values for a specified key across multiple mappings.

from mappingtools import distinct

mappings = [
    {'a': 1, 'b': 2},
    {'a': 2, 'b': 3},
    {'a': 1, 'b': 4}
]
distinct_values = list(distinct('a', *mappings))
print(distinct_values)
# Output: [1, 2]

keep

Yields subsets of mappings by retaining only the specified keys.

from mappingtools import keep

mappings = [
    {'a': 1, 'b': 2, 'c': 3},
    {'a': 4, 'b': 5, 'd': 6}
]
keys_to_keep = ['a', 'b']
result = list(keep(keys_to_keep, *mappings))
# result: [{'a': 1, 'b': 2}, {'a': 4, 'b': 5}]

inverse

Swaps keys and values in a dictionary.

from mappingtools import inverse

original_mapping = {'a': {1, 2}, 'b': {3}}
inverted_mapping = inverse(original_mapping)
print(inverted_mapping)
# Output: defaultdict(<class 'set'>, {1: {'a'}, 2: {'a'}, 3: {'b'}})

nested_defaultdict

Creates a nested defaultdict with specified depth and factory.

from mappingtools import nested_defaultdict

nested_dd = nested_defaultdict(1, list)
nested_dd[0][1].append('value')
print(nested_dd)
# Output: defaultdict(<function nested_defaultdict.<locals>.factory at ...>, {0: defaultdict(<function nested_defaultdict.<locals>.factory at ...>, {1: ['value']})})

remove

Yields mappings with specified keys removed. It takes an iterable of keys and multiple mappings, and returns a generator of mappings with those keys excluded.

from mappingtools import remove

mappings = [
    {'a': 1, 'b': 2, 'c': 3},
    {'a': 4, 'b': 5, 'd': 6}
]
keys_to_remove = ['a', 'b']
result = list(remove(keys_to_remove, *mappings))
# result: [{'c': 3}, {'d': 6}]

unwrap

Transforms complex objects into a list of dictionaries with key and value pairs.

from mappingtools import unwrap

wrapped_data = {'key1': {'subkey': 'value'}, 'key2': ['item1', 'item2']}
unwrapped_data = unwrap(wrapped_data)
print(unwrapped_data)
# Output: [{'key': 'key1', 'value': [{'key': 'subkey', 'value': 'value'}]}, {'key': 'key2', 'value': ['item1', 'item2']}]

Development

Ruff

ruff check src

Test

Standard (cobertura) XML Coverage Report

python -m pytest tests -n auto --cov=src --cov-branch --doctest-modules --cov-report=xml --junitxml=test_results.xml

HTML Coverage Report

python -m pytest tests -n auto --cov=src --cov-branch --doctest-modules --cov-report=html --junitxml=test_results.xml