264 lines
8.3 KiB
Python
264 lines
8.3 KiB
Python
import logging
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import os
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import re
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from datetime import datetime
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from itertools import groupby
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from django.conf import settings
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from django.utils.timezone import make_aware, now
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import request
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from bs4 import BeautifulSoup as bs
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from drupal2spip_lal.drupal import models as drupal
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from drupal2spip_lal.spip import models as spip
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# Questions
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# - quelle utilisation des rubriques ?
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# - quelle hiérarchie des mots clés ?
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# - autobr sélectif ?
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# - importer les drupaleries ? (fn, toc, etc.) + autobr selon le format
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# - convertir en format SPIP ?
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logger = logging.getLogger('drupal2spip_lal')
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def convert_timestamp(timestamp):
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return make_aware(datetime.fromtimestamp(timestamp))
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def strong_to_dl(html):
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"""
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Marie-Odile nous fait des dl-like à base de strong.
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Parser html avec des regex est mal mais on essaie de reconstruire la dl
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avant de casser la forme avec bs.
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"""
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is_strong = r'<strong>(?P<dt>.+)</strong>(?P<dd>.*)$'
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def is_strong_item(s):
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return bool(re.match(is_strong, s))
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items = re.split(r'[\r\n]+', html)
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grouped_items = groupby(items, key=is_strong_item)
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r = []
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for key, group in grouped_items:
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group = list(group)
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if key and len(group) > 2:
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dl = ['<dl class="strong_to_dl">']
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for elem in group:
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match = re.match(is_strong, elem).groupdict()
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dl += [
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'<dt>{}</dt>'.format(match['dt'].strip()),
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'<dd>{}</dd>'.format(match['dd'].strip()),
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]
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dl.append('</dl>')
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r += dl
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else:
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r += group
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return '\n'.join(r)
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def fetch_and_remove_logo(article, force_download):
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def fetch_logo(src):
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"""
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SPIP gère les logos à la façon d'un hack : un fichier dans IMG nommé
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'arton{}.{}'.format(article.pk, ext)
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"""
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ext = src.split('.')[-1]
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filename = 'arton{}.{}'.format(article.pk, ext)
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path = os.path.join(settings.SPIP_LOGO_DIR, filename)
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if not os.access(path, os.R_OK) or force_download:
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r = request.get(src, stream=True)
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with open(path, 'wb') as fd:
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for chunk in r.iter_content(chunk_size=128):
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fd.write(chunk)
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def remove_img(img):
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has_siblings = [
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elem
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for elem in list(img.previous_siblings) + list(img.next_siblings)
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if elem != '\n'
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]
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if img.parent.name in ['a', 'p'] and not has_siblings:
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img.parent.replace_with('')
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else:
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img.replace_with('')
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soup = bs(article.descriptif, 'html.parser')
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img = soup.find('img')
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src = img and img.attrs.get('src', None)
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if src and src.startswith('/'):
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src = 'http://{}{}'.format(settings.DRUPAL_FQDN, src)
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if src and re.match(r'^(https?)?://', src):
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fetch_logo(src)
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remove_img(img)
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article.descriptif = str(soup)
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# L'image est généralement reprise dans le corps avec un format
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# différent (par ex sans lien vers l'article).
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soup = bs(article.texte, 'html.parser')
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img = soup.find('img', src=src)
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if img:
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remove_img(img)
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article.texte = str(soup)
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article.save()
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def filter_html(html):
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def auto_p(html):
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re_paragraph = re.compile(r'\s*\n\s*\n\s*')
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soup = bs(html, 'html.parser')
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for string in soup.find_all(string=re_paragraph):
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new_item = bs('', 'html.parser')
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for substring in [s for s in re_paragraph.split(string) if s]:
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p = new_item.new_tag('p')
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p.string = substring.strip()
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new_item.append(p)
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string.replace_with(new_item)
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return str(soup)
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def auto_br(html):
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re_break = re.compile(r'\s*\n\s*')
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soup = bs(html, 'html.parser')
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for string in soup.find_all(string=re_break):
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new_item = bs('', 'html.parser')
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for index, substring in enumerate([s for s in re_break.split(string) if s]):
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if index:
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br = new_item.new_tag('br')
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new_item.append(br)
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new_item.append(substring.strip())
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string.replace_with(new_item)
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return str(soup)
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html = auto_p(html)
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html = auto_br(html)
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return html
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def sanitarize_html(html, node_fmt):
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html = strong_to_dl(html)
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if node_fmt == 'PHP code':
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raise NotImplementedError("Ce node est au format PHP.")
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if node_fmt == 'Filtered HTML':
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html = filter_html(html)
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if node_fmt == 'Filtered HTML':
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html = str(bs(html, 'html.parser'))
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return html
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def convert_node(node, options):
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"""
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Le point d'entrée fonctionnel c'est les Urls.
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On se base donc là dessus pour vérifier si l'import
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est à faire ou pas ou encore à upgrader.
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"""
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update = options.get('update', False)
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force_download = options.get('force_download', False)
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node_urls = drupal.UrlAlias.objects.filter(src='node/{}'.format(node.pk))
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spip_urls = spip.Urls.objects.filter(
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type='article', url__in=list(node_urls.values_list('dst', flat=True))
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)
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if spip_urls.exists():
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article_id = spip_urls.first().id_objet
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if (
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sorted(spip_urls.values_list('url', flat=True))
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!= sorted(node_urls.values_list('dst', flat=True))
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or len(set(spip_urls.values_list('id_objet', flat=True))) != 1
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or spip.Urls.objects.filter(
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type='article', id_objet=article_id
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).count()
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!= spip_urls.count()
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):
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# incohérence dans les urls
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raise ValueError(
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"Cet article existe déjà dans SPIP sans qu'il soit possible "
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"de s'assurer qu'il s'agisse d'un import prééexistant."
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)
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node_fmt = node.published_revision.format.name
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article = None
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article_attributes = {
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'date': convert_timestamp(node.published_revision.timestamp),
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'date_modif': convert_timestamp(node.changed),
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'date_redac': convert_timestamp(node.created),
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'descriptif': sanitarize_html(
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node.published_revision.teaser, node_fmt
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),
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'maj': convert_timestamp(node.changed),
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'statut': 'publie' if node.status else 'prepa',
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'texte': sanitarize_html(node.published_revision.body, node_fmt),
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'titre': node.title,
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}
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if not spip_urls.exists():
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article = spip.Articles.objects.create(**article_attributes)
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urls = [
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spip.Urls(
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id_objet=article.pk,
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url=node_url.dst,
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date=convert_timestamp(node.created),
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)
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for node_url in node_urls
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]
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spip.Urls.objects.bulk_create(urls)
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logger.info(
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'Article {} created from node {}.'.format(article.pk, node.pk)
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)
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elif update:
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article = spip.Articles(
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pk=spip_urls.last().id_objet, **article_attributes
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)
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article.save()
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logger.info(
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'Article {} updated from node {}.'.format(article.pk, node.pk)
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)
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if article:
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user_attributes = {
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'nom': node.user.name,
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'email': node.user.mail,
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'en_ligne': convert_timestamp(node.user.access),
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'maj': convert_timestamp(node.user.created),
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}
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auteur, _ = spip.Auteurs.objects.update_or_create(
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login=node.user.name, defaults=user_attributes
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)
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spip.AuteursLiens.objects.get_or_create(
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auteur=auteur, id_objet=article.pk, objet='article'
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)
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fetch_and_remove_logo(article, force_download)
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for term_node in node.termnode_set.all():
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groupe, _ = spip.GroupesMots.objects.get_or_create(
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titre=term_node.data.theme.name,
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descriptif=term_node.data.theme.description,
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texte=term_node.data.theme.help,
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defaults={'maj': now},
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)
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mot, _ = spip.Mots.objects.get_or_create(
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groupe=groupe,
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type=groupe.titre,
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titre=term_node.data.name,
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descriptif=term_node.data.description,
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defaults={'maj': now},
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)
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spip.MotsLiens.objects.get_or_create(
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mot=mot, id_objet=article.pk, objet='article'
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)
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