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autocorrect.py
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autocorrect.py
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# -*- coding: utf-8 -*-
"""autocomplete.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/15nory2OiHSgRzAxwo5uHRCNgAc5HEkoH
"""
from shutil import register_unpack_format
from fast_autocomplete.misc import read_csv_gen
from fast_autocomplete import AutoComplete
from typing import List, Dict
import cyrtranslit
import string as s
import pickle
import tqdm
import csv
import re
from nlp import cleaning
from autocomplete import AutoCompleter
class LayoutCorrector:
def __init__(self):
self.rus = "§1234567890-=qwertyuiop[]asdfghjkl;'\`zxcvbnm,./ "
self.eng = ">1234567890-=йцукенгшщзхъфывапролджэё]ячсмитьбю/ "
self.ru2en_dict = dict(zip(self.eng, self.rus))
self.en2ru_dict = dict(zip(self.rus, self.eng))
def en2ru(self, string) -> str:
return "".join([self.en2ru_dict[a] for a in string.lower()])
def ru2en(self, string) -> str:
return "".join([self.ru2en_dict[a] for a in string.lower()])
def isEnglish(self, string) -> bool:
count = 0
for x in string:
if x in self.eng:
count += 1
if len(string) * 0.5 < count:
return False
return True
class AutoCorrector:
def __init__(
self,
path2words : str,
path2csv : str = None,
trainColumnName = "Название СТЕ",
) -> None:
self.special_symbols = s.ascii_uppercase + "АБВГДЕЁЖЗИЙКЛМНОПРСТУФХЦЧШЩЪЫЬЭЮЯ1234567890-"
self.symbols = self.getValidSymbols()
self.trainColumnName = trainColumnName
self.words = self.load_words(path2words)
if path2csv:
self.words = self.getWords(path2csv)
self.autoComplete = self.getAutoComplete(self.words, self.symbols)
self.corrector = LayoutCorrector()
def load_words(self, path2words):
return pickle.load(open(path2words, 'rb'))
def save_words(self, path2words):
picklefile = open(path2words, 'wb')
#pickle the dictionary and write it to file
pickle.dump(completer.words, picklefile)
#close the file
picklefile.close()
def getValidSymbols(self):
return s.ascii_lowercase + "абвгдеёжзийклмнопрстуфхцчшщъыьэюя" + "1234567890"
def isSerial(self,
input_string: str,
threshold=0.5) -> bool:
counter = 0
for x in input_string:
if x in self.special_symbols:
counter += 1
return counter / len(input_string) > threshold
def getWords(self, path : str) -> Dict[str, dict]:
csv_gen = read_csv_gen(path, csv_func=csv.DictReader)
words = {}
for line in tqdm.tqdm(csv_gen,
desc = "processing dataset"):
processed_string = cleaning(line[self.trainColumnName])
local_words = processed_string.split(" ")
for index in range(len(local_words)):
first = local_words[index]
if first:
words[first.strip()] = {}
return words
def toLatin(self, string) -> str:
return cyrtranslit.to_latin(string, 'ru')
def toRussian(self, string) -> str:
return cyrtranslit.to_cyrillic(string, 'ru')
def getAutoComplete(self, words, symbols):
return AutoComplete(
words=words,
valid_chars_for_string= symbols
)
def request(self, query, size = 1, max_cost = 2):
outputs = self.autoComplete.search(
word=cleaning(query),
size = size,
max_cost = max_cost
)
return [item[0] + " " for item in outputs]
def search(self, query_sentence: str) -> List[str]:
output_sentence = []
for query in query_sentence.split(" "):
if self.isSerial(query):
output_sentence += query
continue
output = self.request(query)
if len(output):
output_sentence += output
# return output
continue
else:
# проверяем преимущественно ли количество английского текста
if self.corrector.isEnglish(query):
# проверяем найдены ли совпадения при переводе на русскую раскладку
output = self.request(self.corrector.en2ru(query))
if len(output):
output_sentence += output
continue
# return output
# проверяем найдены ли совпадения при переводе на русскую траскрипцию
output = self.request(self.toRussian(query))
if output:
output_sentence += output
# return output
continue
else:
# проверяем найдены ли совпадения при переводе на русскую раскладку
output = self.request(self.corrector.ru2en(query))
if len(output):
output_sentence += output
continue
# return output
# проверяем найдены ли совпадения при переводе на русскую раскладку
output = self.request(self.toLatin(query))
if output:
output_sentence += output
continue
# return output
if output_sentence:
return "".join(output_sentence)
return ""
def __call__(self, query : str) -> List[str]:
return self.search(query)
if __name__ == "__main__":
completer = AutoCompleter('file.pkl')
while True:
print(completer(input("search: ")))