#!/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) )