def load_several_clustered_news(self):
""" get 704 news """
if not self.news_by_docs:
raise MissedValueError('news_by_docs',
'build_docs_news_dependencies')
several_doc_ids = read_lines('.conf/clustered.txt')
if not several_doc_ids:
raise Exception(u'Ошибка загрузки файла clustered.txt')
several_doc_ids = map(int, several_doc_ids)
self.several_doc_ids = set(several_doc_ids)
self.several_news_ids = list()
for doc_id in several_doc_ids:
self.several_news_ids.append(self.news_by_docs[doc_id])
def load_several_clustered_news(self):
""" get 704 news """
if not self.news_by_docs:
raise MissedValueError('news_by_docs',
'build_docs_news_dependencies')
several_doc_ids = read_lines('.conf/clustered.txt')
if not several_doc_ids:
raise Exception(u'Ошибка загрузки файла clustered.txt')
several_doc_ids = map(int, several_doc_ids)
self.several_doc_ids = set(several_doc_ids)
self.several_news_ids = list()
for doc_id in several_doc_ids:
self.several_news_ids.append(self.news_by_docs[doc_id])
def load_stop_words(self):
self.stop_words = read_lines('.conf/stop_words.txt', 'cp1251')
def load_stop_words(self):
self.stop_words = read_lines('.conf/stop_words.txt', 'cp1251')
## create NewsKeyword and ParagraphKeyword
# NewsStemmed.objects.create_keywords(stop_words, angry_mode=True)
# ParagraphStemmed.objects.create_keywords(stop_words, angry_mode=True)
# create NewsStats and ParagraphStats
# NewsKeywords.objects.create_stats()
# ParagraphKeywords.objects.create_stats()
'''
## gen_reports
coefficients = [(0, 100)]
for alpha, beta in coefficients:
print dt(), 'alpha=%.2f, beta=%.2f' % (alpha, beta)
NewsKeywords.objects.create_keyword_items(alpha, beta, gen_report=True)
'''
# get 704 news
several_doc_ids = read_lines('.conf/clustered.txt') # load clustered several_doc_ids
several_doc_ids = map(int, several_doc_ids)
docs = dict()
news_by_docs = dict()
for news in News.objects.only('doc_id'):
docs[news.pk] = news.doc_id
news_by_docs[news.doc_id] = news.pk
several_news_ids = []
if several_doc_ids and news_by_docs:
several_doc_ids = set(several_doc_ids)
for doc_id in several_doc_ids:
several_news_ids.append(news_by_docs[doc_id])
print 'loaded clustered ids'
items = NewsParagraph.objects.filter(news__in=several_news_ids).only('news')
## create NewsKeyword and ParagraphKeyword
# NewsStemmed.objects.create_keywords(stop_words, angry_mode=True)
# ParagraphStemmed.objects.create_keywords(stop_words, angry_mode=True)
# create NewsStats and ParagraphStats
# NewsKeywords.objects.create_stats()
# ParagraphKeywords.objects.create_stats()
'''
## gen_reports
coefficients = [(0, 100)]
for alpha, beta in coefficients:
print dt(), 'alpha=%.2f, beta=%.2f' % (alpha, beta)
NewsKeywords.objects.create_keyword_items(alpha, beta, gen_report=True)
'''
# get 704 news
several_doc_ids = read_lines(
'.conf/clustered.txt') # load clustered several_doc_ids
several_doc_ids = map(int, several_doc_ids)
docs = dict()
news_by_docs = dict()
for news in News.objects.only('doc_id'):
docs[news.pk] = news.doc_id
news_by_docs[news.doc_id] = news.pk
several_news_ids = []
if several_doc_ids and news_by_docs:
several_doc_ids = set(several_doc_ids)
for doc_id in several_doc_ids:
several_news_ids.append(news_by_docs[doc_id])
print 'loaded clustered ids'
items = NewsParagraph.objects.filter(news__in=several_news_ids).only('news')