def parse_news_text(self, page_html: str, url: str) -> dict:
if self._extractor is None:
config = Configuration()
config.stopwords_class = StopWords
config.strict = False
extractor = Goose(config)
self._extractor = extractor
article = self._extractor.extract(raw_html=page_html)
news_text = re.sub(r'\s+', r' ', article.cleaned_text)
return {'url': url, 'text': news_text}
import pickle
from sklearn.model_selection import train_test_split
from algorithm.data_preprocess_main import FETCH_DATA, FEATURE_EXTRACTION, PREPROCESS
from Utility import Utility_func
import sys
import os
from algorithm.predictive_model import Classify
import json
import pandas as pd
from goose3 import Goose
from goose3.configuration import Configuration
config = Configuration()
config.strict = False # turn of strict exception handling
config.browser_user_agent = 'Mozilla 5.0' # set the browser agent string
config.http_timeout = 5.05 # set http timeout in seconds
with Goose(config) as g:
pass
def getContent(url):
try:
content = g.extract(url)
rs = {
"url": url,
"type": None,
"title": content.title,
"description": content.meta_description
}
