def dashboard_classifier():
docs = db_articles.find()
if 'stats' not in cache:
stats = defaultdict(Counter)
for doc in docs:
if 'machine' in doc.get('analysis', {}):
timestamp = time.mktime(doc['time_added'].date().timetuple())
stats[timestamp]['remove'] += len(
doc['analysis']['machine']['candidates']['remove'])
stats[timestamp]['confirm'] += len(
doc['analysis']['machine']['candidates']['confirm'])
stats_json = []
for day, day_stats in sorted(stats.items()):
day_stats = dict(day_stats)
day_stats['day'] = day
stats_json.append(day_stats)
cache['stats'] = stats_json
return render_template('dashboard_classifier.html',
stats_json=json.dumps(cache))
def dashboard_article(query_id):
query = dashboard_query_index[query_id]
docs = list(db_articles.find(query['query']))
for doc in docs:
doc['page'] = Page.get(doc['pages'][0])
return render_template('dashboard_query.html', query=query, articles=docs)
def moderation_queue():
articles = list(db_articles.find({'state': 'moderated'}) \
.sort([('time_added', -1)])[:50])
for doc in articles:
if 'pages' in doc:
doc['page'] = Page.get(doc['pages'][0])
return render_template('moderation_queue.html', articles=articles)
def moderation_queue():
articles = list(db_articles.find({'state': 'moderated'}) \
.sort([('time_added', -1)])[:50])
for doc in articles:
if 'pages' in doc:
doc['page'] = Page.get(doc['pages'][0])
return render_template('moderation_queue.html',
articles=articles)
def dashboard_article(query_id):
query = dashboard_query_index[query_id]
docs = list(db_articles.find(query['query']))
for doc in docs:
doc['page'] = Page.get(doc['pages'][0])
return render_template('dashboard_query.html',
query=query,
articles=docs)
def dashboard_classifier():
docs = db_articles.find()
if 'stats' not in cache:
stats = defaultdict(Counter)
for doc in docs:
if 'machine' in doc.get('analysis', {}):
timestamp = time.mktime(doc['time_added'].date().timetuple())
stats[timestamp]['remove'] += len(doc['analysis']['machine']['candidates']['remove'])
stats[timestamp]['confirm'] += len(doc['analysis']['machine']['candidates']['confirm'])
stats_json = []
for day, day_stats in sorted(stats.items()):
day_stats = dict(day_stats)
day_stats['day'] = day
stats_json.append(day_stats)
cache['stats'] = stats_json
return render_template('dashboard_classifier.html',
stats_json=json.dumps(cache))
from ppsay.db import db_articles
from ppsay.article import Article
docs = db_articles.find()
for doc in docs:
article = Article(doc)
print article.id
num_final_candidates =len([x for x in article.analysis['final']['candidates'] if x['state'] not in ['removed', 'removed_ml']])
num_final_constituencies =len([x for x in article.analysis['final']['constituencies'] if x['state'] not in ['removed', 'removed_ml']])
if num_final_candidates == 0 and num_final_constituencies == 0:
article.update_stream()
from ppsay.page import Page
from ppsay.db import db_articles
from urlparse import urlparse
for doc in db_articles.find():
if 'page' not in doc or doc['page'] is None:
print "Skipping"
continue
page_ids = []
for url, final_url in zip(doc['page']['urls'], doc['page']['final_urls']):
print url, final_url
d = doc['page']
d['url'] = url
d['final_url'] = final_url
d['source'] = doc['source']
d['domain'] = urlparse(final_url).netloc
page = Page.get_url(d['url'])
if page is None:
print "Creating {}".format(d['url'])
page = Page(d)
page.save()
else:
print "Exists"
page_ids.append(page._id)
"""
Check that every article's pages exist.
"""
from ppsay.db import db_articles, db_pages
for article_doc in db_articles.find():
if 'pages' not in article_doc:
print article_doc['_id'], "MISSING PAGES"
continue
for page_id in article_doc['pages']:
page_doc = db_pages.find_one({'_id': page_id})
if page_doc is None:
print page_id, "PAGE MISSING"
from ppsay.page import Page
from ppsay.db import db_articles
from urlparse import urlparse
for doc in db_articles.find():
if 'page' not in doc or doc['page'] is None:
print "Skipping"
continue
page_ids = []
for url, final_url in zip(doc['page']['urls'], doc['page']['final_urls']):
print url, final_url
d = doc['page']
d['url'] = url
d['final_url'] = final_url
d['source'] = doc['source']
d['domain'] = urlparse(final_url).netloc
page = Page.get_url(d['url'])
if page is None:
print "Creating {}".format(d['url'])
page = Page(d)
page.save()
else:
print "Exists"
page_ids.append(page._id)
from ppsay.domains import get_domain, new_domain
from ppsay.db import db_articles
for article in db_articles.find({'state': 'approved'}):
article_domain = article.get('domain')
if article_domain is not None:
domain = get_domain(article_domain)
if domain is None:
new_domain = new_domain(article_domain)
print new_domain
from ppsay.db import db_articles
from ppsay.article import Article
docs = db_articles.find()
for doc in docs:
if 'pages' not in doc:
print "MISSING PAGES"
continue
article = Article(doc)
print article.id
article.update_stream()