libere-tes-chaine-de-mots/import_data/41_importation_wordpress.py

64 lines
1.7 KiB
Python
Raw Normal View History

import datetime
import re
import xmltodict
import pandas as pd
import markdownify
from utils.documents_to_database import documents_to_database
# In[ ]:
wordpress_xml_path = "data/Wordpress/jevalideca/wordpress.xml"
with open(wordpress_xml_path, "r") as xml_file:
wordpress_xml = xml_file.read()
# In[ ]:
wordpress_dict = xmltodict.parse(wordpress_xml)
# In[ ]:
items_df = pd.DataFrame(wordpress_dict['rss']['channel']['item'])
# In[ ]:
items_df_filter = items_df[
(items_df['wp:post_type'].isin(['page', 'post'])) & (items_df['wp:status'] == 'publish')].copy()
# In[ ]:
items_df_filter['datepublication'] = items_df_filter['wp:post_date'].apply(
lambda x: str(datetime.datetime.fromisoformat(x).isoformat()))
# In[ ]:
def wp_to_markdown(x):
try:
md_text = re.sub(r'\n+', ' ', markdownify.markdownify(x, heading_style='ATX')).strip()
except Exception as e:
print(e)
md_text = str()
pass
return md_text
# In[ ]:
items_df_filter['texte'] = items_df_filter['content:encoded'].apply(lambda x: wp_to_markdown(x))
# In[ ]:
items_df_filter.rename(columns={"link": "uri", "wp:post_type": "type"}, inplace=True)
# In[ ]:
items_df_filter['index'] = "rs_wordpress_jevalideca"
items_df_filter['network'] = "Wordpress"
items_df_filter['chemin'] = wordpress_xml_path
# In[ ]:
items_df_filter.fillna(value="", inplace=True)
# In[ ]:
documents_to_database(items_df_filter[['title',
'uri',
'type',
'datepublication',
'texte',
'index',
'network',
'chemin']])