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#!/usr/bin/env python3
import sys
import os
import argparse
import random
import csv
import re
import logging
from tqdm import tqdm
logger = logging.getLogger()
logger.setLevel(logging.INFO)
REPLACEMENT_MAP = {
'a': ['&', 'é', 'ã', '1', '2', 'z', 'q'],
'ã': ['a', 'é', '&', '"', 'a', 'z', '1', '2', '3'],
'à': ['a', 'è', '-', '_', '\\', 'y', 'u', '6', '7', '8'],
'ä': ['a', 'â', 'p', 'm', '$', '£', ')', ']', '=', '}', 'º', '+', '%', 'ù'],
'â': ['a', 'ä', 'p', 'm', '$', '£', ')', ']', '=', '}', 'º', '+', '%', 'ù'],
'b': ['v', 'n', 'g', 'h'],
'c': ['x', 'v', 'f', 'g'],
'ç': ['c', '_', '\\', 'à', '@', 'i', 'o', '8', '9', '0'],
'd': ['s', 'f', 'e', '€', 'r', 'x', 'c'],
'e': ['€', 'z', 'r', 's', 'd', '"', '#', '\'', '{', '3', '4'],
'é': ['e', '€', 'ã', '&', '"', 'a', 'z', '1', '2', '3'],
'ê': ['e', '€', 'z', 'r', 's', 'd', '"', '#', '\'', '{'],
'è': ['e', '€', 'à', '-', '_', '\\', 'y', 'u', '6', '7', '8'],
'f': ['d', 'g', 'r', 't', 'c', 'v'],
'g': ['f', 'h', 't', 'y', 'v', 'b'],
'h': ['g', 'j', 'y', 'u', 'b', 'n'],
'i': ['u', 'o', '_', '\\', 'ç', '^', 'j', 'k', '8', '9'],
'j': ['h', 'k', 'u', 'i', 'n', '?', ','],
'k': ['j', 'l', 'i', 'o', '?', ',', '.', ';'],
'l': ['k', 'm', 'o', 'p', '.', ';', '/', ':'],
'm': ['l', '%', 'ù', 'p', 'ä', 'â', '/', ':', '§', '!'],
'n': ['b', '?', ',', 'h', 'j'],
'o': ['i', 'p', 'ç', '^', 'à', '@', 'k', 'l', '9', '0'],
'p': ['o', 'ä', 'â', 'à', '@', ')', ']', 'l', 'm', '0', 'º'],
'q': ['a', 'z', 's', 'w', '>', '<'],
'r': ['e', 't', 'd', 'f', '\'', '{', '(', '[', '4', '5'],
's': ['q', 'd', 'z', 'w', 'x'],
't': ['r', 'y', 'f', 'g', '(', '[', '-', '5', '6'],
'u': ['y', 'i', 'h', 'j', 'è', 'à', '_', '\\', '7', '8'],
'ù': ['u', '%', 'm', 'ä', 'â', '§', '!', '$', '£'],
'v': ['c', 'b', 'f', 'g'],
'x': ['w', 'c', 's', 'd'],
'y': ['t', 'u', 'g', 'h', '_', 'è', 'à', '6', '7'],
'w': ['>', '<', 'x', 'q', 's'],
'z': ['a', 'e', '€', 'q', 's', 'é', 'ã', '"', '#', '2', '3'],
}
SENTENCE_ID = re.compile(r'^\d+\t')
def rotate(word: str) -> str:
if len(word) < 3:
return word
i = random.randint(1, len(word) - 2)
j = i + 1 if random.random() > 0.5 else i - 1
letters = list(word)
letters[i], letters[j] = letters[j], letters[i]
word_ = ''.join(letters)
return word_
def replace(word: str) -> str:
word_ = '%s' % word
i = random.randint(0, len(word) - 1)
is_lower = word[i].lower() == word[i]
if word[i].lower() in REPLACEMENT_MAP:
c = random.choice(REPLACEMENT_MAP[word[i].lower()])
c = c if is_lower else c.upper()
letters = list(word)
letters[i] = c
word_ = ''.join(letters)
return word_
def insert(word: str) -> str:
i = random.randint(0, len(word) - 1)
c = word[i]
j = i + 1 if random.random() > 0.5 else i - 1
letters = list(word)
letters.insert(j, c)
word_ = ''.join(letters)
return word_
def delete(word: str) -> str:
i = random.randint(0, len(word) - 1)
word_ = word[:i] + word[i + 1:]
return word_
OPERATIONS = [
rotate,
insert,
delete,
replace
]
def transform_sentence(sentence: str, probability: float = 0.25) -> str:
words = sentence.split()
# Join two words with probability 0.5
if random.random() < 0.5 and len(words) > 1:
i = random.randint(0, len(words) - 1)
if random.random() < 0.5 and i < len(words) - 1 or i == 0:
j = i + 1
words[i] = f"{words[i]}{words[j]}"
else:
j = i - 1
words[i] = f"{words[j]}{words[i]}"
del words[j]
# Transform each word with probability 'probability'
for i, word in enumerate(words):
if random.random() < probability and not word.isdigit():
words[i] = random.choice(OPERATIONS)(word)
sentence_ = ' '.join(words)
return sentence_
def main(args: argparse.Namespace) -> int:
if not os.path.exists(args.input_data_path):
logger.error("Invalid input data path.")
return -1
sentences = []
with open(args.input_data_path, 'r') as f:
for sentence in f:
if SENTENCE_ID.search(sentence):
sentence = SENTENCE_ID.sub('', sentence)
sentence = (
sentence
.replace('“', '')
.replace('”', '')
.replace('"', '')
.replace('«', '')
.replace('»', '')
)
sentences.append(' '.join(sentence.split()))
dirname = os.path.dirname(args.output_data_path)
if not os.path.exists(dirname):
os.mkdir(dirname)
logger.info("Transforming sentences to generate cases")
with open(args.output_data_path, 'w', newline='') as csv_file:
writer = csv.writer(csv_file, delimiter=',')
writer.writerow(["input", "target"])
for sentence in tqdm(sentences):
correction = sentence
for case in range(args.number_of_cases):
transformed_sentence = transform_sentence(sentence)
if transformed_sentence == sentence:
continue
input_text = f"grammaire: {transformed_sentence}"
writer.writerow([input_text, correction])
return 0
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
'--input-data-path', '-i',
type=str,
required=True
)
parser.add_argument(
'--output-data-path', '-o',
type=str,
default='data/dataset/dataset.csv'
)
parser.add_argument(
'--number-of-cases', '-n',
type=int,
default=5
)
args, _ = parser.parse_known_args()
sys.exit(
main(args)
)