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clean_texts.py
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clean_texts.py
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import psycopg2
import psycopg2.extras
import functools
import nltk
import re
from nltk.tokenize import sent_tokenize, word_tokenize
from langdetect import detect
nltk.download('stopwords')
nltk.download('punkt')
# nltk.download('crubadan')
# cls = textcat.TextCat()
connection = psycopg2.connect(user="postgres",
password="root",
host="127.0.0.1",
port="5432",
database="github")
cur = connection.cursor(cursor_factory=psycopg2.extras.DictCursor)
def remove_words(tokens):
filtered_tokens = [token for token in tokens if len(token) > 1] # remove one character words
return filtered_tokens
def tokenize(sentences):
tokens = []
for s in sentences:
temp = word_tokenize(s)
tokens += [token.strip() for token in temp]
return tokens
def remove_puncts(tokens):
pattern = r'[!\?\.,:;\-\d]'
newTokens = []
for token in tokens:
temp = re.sub(pattern, '', token)
if (len(temp) > 0):
newTokens.append(temp)
return newTokens
# for i in range(0, 10):
# print(
# f'SELECT * from issues where labels like \'%question%\' limit 1000 offset {i}')
# print(f'batch {i}')
cur.execute(f'SELECT * from issues where cleaned_text_body is not null')
rows = cur.fetchall()
for row in rows:
try:
print(row['id'])
sentences = sent_tokenize(row['cleaned_text_body'])
if(len(sentences) == 0):
continue
tokens = remove_puncts(tokenize(sentences))
tokens = remove_words(tokens)
if(len(tokens) == 0):
continue
lang = detect(' '.join(tokens))
# print(lang)
cur.execute(f'UPDATE issues set sentence_count={len(sentences)}, tokens_count={len(tokens)}, tokens=\'{",".join(tokens)}\',text_lang=\'{lang}\' where ID = \'{row["id"]}\'')
connection.commit()
except Exception as e:
print(f'error for id: {row["id"]}')
print(e)
connection.close()