fuzzy-multi-dict 0.0.7

`fuzzy-multi-dict` is a module that provides a hight-flexible structure for storing and accessing information by a string key.

fuzzy-multi-dict

fuzzy-multi-dict is a module that provides a hight-flexible structure for storing and accessing information by a string key.

Fuzzy: access by key is carried out even if there are mistakes (missing/extra/incorrect character) in the string representation of the key.

Multi: flexible functionality for updating data on an existing key.

Installation

pip install fuzzy_multi_dict

Quickstart

Module can be used as a fast enough (due to the tree structure of data storage) spell-checker.

import re
from fuzzy_multi_dict import FuzzyMultiDict

with open('big_text.txt', 'r') as f:
    words = list(set(re.findall(r'[a-z]+', f.read().lower())))
    
vocab = FuzzyMultiDict(max_corrections_value=2/3)
for word in words:
    vocab[word] = word
    
vocab['responsibilities']
# 'responsibilities'

vocab['espansibillities']
# 'responsibilities'

vocab.get('espansibillities')
# [{'value': 'responsibilities',
#   'key': 'responsibilities',
#   'mistakes': [{'mistake_type': 'missing symbol "r"', 'position': 0},
#    {'mistake_type': 'wrong symbol "a": replaced on "o"', 'position': 3},
#    {'mistake_type': 'extra symbol "l"', 'position': 10}]}]

It can also be used as a flexible structure to store and access semi-structured data.

from fuzzy_multi_dict import FuzzyMultiDict

def update_value(x, y):
    
    if x is None: return y
    
    if not isinstance(x, dict) or not isinstance(y, dict):
        raise TypeError(f'Invalid value type; expect dict; got {type(x)} and {type(y)}')
        
    for k, v in y.items():
        if x.get(k) is None: x[k] = v
        elif isinstance(x[k], list):
            if v not in x[k]: x[k].append(v)
        elif x[k] != v: x[k] = [x[k], v]
            
    return x

phone_book = FuzzyMultiDict(max_corrections_value=3, update_value=update_value)

phone_book['Mom'] = {'phone': '123-4567', 'organization': 'family'}
phone_book['Adam'] = {'phone': '890-1234', 'organization': 'work'}
phone_book['Lisa'] = {'phone': '567-8901', 'organization': 'family'}
phone_book['Adam'] = {'address': 'baker street 221b'}
phone_book['Adam'] = {'phone': '234-5678', 'organization': 'work'}

phone_book['Adam']
# {'phone': ['890-1234', '234-5678'],
#  'organization': 'work',
#  'address': 'baker street 221b'}

It can also be used for indexing data and fuzzy-search.

from fuzzy_multi_dict import FuzzyMultiDict

d = FuzzyMultiDict()

d["apple"] = "apple"
d["apple red delicious"] = "apple red delicious"
d["apple fuji"] = "apple fuji"
d["apple granny smith"] = "apple granny smith"
d["apple honeycrisp"] = "apple honeycrisp"
d["apple golden delicious"] = "apple golden delicious"
d["apple pink lady"] = "apple pink lady"

d.get("apple") 
# [{'value': 'apple', 'key': 'apple', 'correction': [], 'leaves': []}]

d.search("apple") 
# ['apple', 'apple red delicious', 'apple fuji', 'apple granny smith',
#  'apple golden delicious', 'apple honeycrisp', 'apple pink lady']

d.search("apl") 
# ['apple', 'apple red delicious', 'apple fuji', 'apple granny smith', 
#  'apple golden delicious', 'apple honeycrisp', 'apple pink lady']