def auto_lock_old_questions():
"""Locks all questions that were created over 180 days ago"""
# Set up logging so it doesn't send Ricky email.
logging.basicConfig(level=logging.ERROR)
# Get a list of ids of questions we're going to go change. We need
# a list of ids so that we can feed it to the update, but then
# also know what we need to update in the index.
days_180 = datetime.now() - timedelta(days=180)
q_ids = list(
Question.objects.filter(is_locked=False).filter(
created__lte=days_180).values_list('id', flat=True))
if q_ids:
log.info('Updating %d questions', len(q_ids))
sql = """
UPDATE questions_question
SET is_locked = 1
WHERE id IN (%s)
""" % ','.join(map(str, q_ids))
cursor = connection.cursor()
cursor.execute(sql)
transaction.commit_unless_managed()
if settings.ES_LIVE_INDEXING:
try:
# So... the first time this runs, it'll handle 160K
# questions or so which stresses everything. Thus we
# do it in chunks because otherwise this won't work.
#
# After we've done this for the first time, we can nix
# the chunking code.
from search.utils import chunked
for chunk in chunked(q_ids, 100):
# Fetch all the documents we need to update.
es_docs = get_documents(QuestionMappingType, chunk)
log.info('Updating %d index documents', len(es_docs))
documents = []
# For each document, update the data and stick it
# back in the index.
for doc in es_docs:
doc[u'question_is_locked'] = True
doc[u'indexed_on'] = int(time.time())
documents.append(doc)
QuestionMappingType.bulk_index(documents,
id_field='document_id')
except ES_EXCEPTIONS:
# Something happened with ES, so let's push index
# updating into an index_task which retries when it
# fails because of ES issues.
index_task.delay(QuestionMappingType, q_ids)
def auto_lock_old_questions():
"""Locks all questions that were created over 180 days ago"""
# Set up logging so it doesn't send Ricky email.
logging.basicConfig(level=logging.ERROR)
# Get a list of ids of questions we're going to go change. We need
# a list of ids so that we can feed it to the update, but then
# also know what we need to update in the index.
days_180 = datetime.now() - timedelta(days=180)
q_ids = list(Question.objects.filter(is_locked=False)
.filter(created__lte=days_180)
.values_list('id', flat=True))
if q_ids:
log.info('Updating %d questions', len(q_ids))
sql = """
UPDATE questions_question
SET is_locked = 1
WHERE id IN (%s)
""" % ','.join(map(str, q_ids))
cursor = connection.cursor()
cursor.execute(sql)
transaction.commit_unless_managed()
if settings.ES_LIVE_INDEXING:
try:
# So... the first time this runs, it'll handle 160K
# questions or so which stresses everything. Thus we
# do it in chunks because otherwise this won't work.
#
# After we've done this for the first time, we can nix
# the chunking code.
from search.utils import chunked
for chunk in chunked(q_ids, 100):
# Fetch all the documents we need to update.
es_docs = get_documents(QuestionMappingType, chunk)
log.info('Updating %d index documents', len(es_docs))
documents = []
# For each document, update the data and stick it
# back in the index.
for doc in es_docs:
doc[u'question_is_locked'] = True
doc[u'indexed_on'] = int(time.time())
documents.append(doc)
QuestionMappingType.bulk_index(
documents, id_field='document_id')
except ES_EXCEPTIONS:
# Something happened with ES, so let's push index
# updating into an index_task which retries when it
# fails because of ES issues.
index_task.delay(QuestionMappingType, q_ids)
def update_question_vote_chunk(data):
"""Update num_votes_past_week for a number of questions."""
# First we recalculate num_votes_past_week in the db.
log.info('Calculating past week votes for %s questions.' % len(data))
ids = ','.join(map(str, data))
sql = """
UPDATE questions_question q
SET num_votes_past_week = (
SELECT COUNT(created)
FROM questions_questionvote qv
WHERE qv.question_id = q.id
AND qv.created >= DATE(SUBDATE(NOW(), 7))
)
WHERE q.id IN (%s);
""" % ids
cursor = connection.cursor()
cursor.execute(sql)
transaction.commit_unless_managed()
# Next we update our index with the changes we made directly in
# the db.
if data and settings.ES_LIVE_INDEXING:
# Get the data we just updated from the database.
sql = """
SELECT id, num_votes_past_week
FROM questions_question
WHERE id in (%s);
""" % ids
cursor = connection.cursor()
cursor.execute(sql)
# Since this returns (id, num_votes_past_week) tuples, we can
# convert that directly to a dict.
id_to_num = dict(cursor.fetchall())
try:
# Fetch all the documents we need to update.
from questions.models import Question
from search import es_utils
es_docs = es_utils.get_documents(Question, data)
# For each document, update the data and stick it back in the
# index.
for doc in es_docs:
# Note: Need to keep this in sync with
# Question.extract_document.
num = id_to_num[int(doc[u'id'])]
doc[u'question_num_votes_past_week'] = num
Question.index(doc)
except ES_EXCEPTIONS:
# Something happened with ES, so let's push index updating
# into an index_task which retries when it fails because
# of ES issues.
index_task.delay(Question, id_to_num.keys())
def reindex_kb():
"""Reindex wiki_document."""
index_task.delay(Document, Document.get_indexable())
def reindex_kb():
"""Reindex wiki_document."""
index_task.delay(Document, Document.get_indexable())
def reindex_kb():
"""Reindex wiki_document."""
index_task.delay(DocumentMappingType, DocumentMappingType.get_indexable())