def setUp(self, switch_is_active):
switch_is_active.return_value = True
super(KarmaAPITests, self).setUp()
try:
self.mgr = KarmaManager()
redis_client('karma').flushdb()
except RedisError:
raise SkipTest
self.user1 = user(save=True)
self.user2 = user(save=True)
self.user3 = user(save=True)
TestAction1(user=self.user1).save()
TestAction2(user=self.user2).save()
TestAction2(user=self.user2).save()
TestAction1(user=self.user3).save()
TestAction1(user=self.user3).save()
TestAction1(user=self.user3).save()
self.mgr.update_top()
self.client.login(username=self.user1.username, password='******')
add_permission(self.user1, models.Title, 'view_dashboard')
def setUp(self, switch_is_active):
switch_is_active.return_value = True
super(KarmaManagerTests, self).setUp()
try:
self.mgr = KarmaManager()
redis_client('karma').flushdb()
except RedisError:
raise SkipTest
self.user1 = user(save=True)
self.user2 = user(save=True)
self.user3 = user(save=True)
today = date.today()
# user1 actions (3 + 3 + 7):
TestAction1(user=self.user1, day=today).save()
TestAction1(user=self.user1, day=today).save()
TestAction2(user=self.user1, day=today).save()
# user2 actions (3 + 7 + 7):
TestAction1(user=self.user2, day=today - timedelta(days=8)).save()
TestAction2(user=self.user2, day=today - timedelta(days=32)).save()
TestAction2(user=self.user2, day=today - timedelta(days=360)).save()
# user3 actions (3 + 3 + 3 + 7):
TestAction1(user=self.user3, day=today - timedelta(days=10)).save()
TestAction1(user=self.user3, day=today - timedelta(days=40)).save()
TestAction1(user=self.user3, day=today - timedelta(days=190)).save()
TestAction2(user=self.user3, day=today - timedelta(days=3)).save()
def setUp(self):
super(KarmaActionTests, self).setUp()
self.user = user(save=True)
try:
self.mgr = KarmaManager()
redis_client('karma').flushdb()
except RedisError:
raise SkipTest
def reindex_with_scoreboard(mapping_type_names):
"""Reindex all instances of a given mapping type with celery tasks.
This will use Redis to keep track of outstanding tasks so nothing
gets screwed up by two jobs running at once.
"""
# TODO: If this gets fux0rd, then it's possible this could be
# non-zero and we really want to just ignore it. Need the ability
# to ignore it.
try:
client = redis_client('default')
val = client.get(OUTSTANDING_INDEX_CHUNKS)
if val is not None and int(val) > 0:
raise ReindexError('There are %s outstanding chunks.' % val)
# We don't know how many chunks we're building, but we do want
# to make sure another reindex request doesn't slide in here
# and kick off a bunch of chunks.
#
# There is a race condition here.
client.set(OUTSTANDING_INDEX_CHUNKS, 1)
except RedisError:
log.warning('Redis not running. Can not check if there are '
'outstanding tasks.')
batch_id = create_batch_id()
# Break up all the things we want to index into chunks. This
# chunkifies by class then by chunk size. Also generate
# reconcile_tasks.
chunks = []
for cls, indexable in get_indexable(mapping_types=mapping_type_names):
chunks.extend(
(cls, chunk) for chunk in chunked(indexable, CHUNK_SIZE))
reconcile_task.delay(cls.get_index(), batch_id,
cls.get_mapping_type_name())
chunks_count = len(chunks)
try:
client = redis_client('default')
client.set(OUTSTANDING_INDEX_CHUNKS, chunks_count)
except RedisError:
log.warning('Redis not running. Can\'t denote outstanding tasks.')
for chunk in chunks:
index = chunk[0].get_index()
index_chunk_task.delay(index, batch_id, chunk)
def setUp(self):
super(TestDocumentLocking, self).setUp()
try:
self.redis = redis_client('default')
self.redis.flushdb()
except RedisError:
raise SkipTest
def get_bundle(request):
if 'locale' not in request.GET or 'product' not in request.GET:
return HttpResponseBadRequest(BAD_REQUEST, mimetype='application/json')
locale = request.GET['locale']
product = request.GET['product']
if locale.lower() not in settings.LANGUAGES_DICT:
return HttpResponseNotFound(INVALID_LOCALE,
mimetype='application/json')
name = redis_bundle_name(locale, product)
try:
redis = redis_client('default')
except RedisError:
return HttpResponse('not available yet', status=503)
else:
bundle = redis.hget(name, 'bundle')
bundle_hash = redis.hget(name, 'hash')
if bundle is None:
return HttpResponseNotFound(NOT_FOUND, mimetype='application/json')
response = HttpResponse(bundle, mimetype='application/json')
response['Content-Length'] = len(bundle)
response['X-Content-Hash'] = bundle_hash
response['Access-Control-Expose-Headers'] = \
'Content-Length, X-Content-Hash'
return response
def redis_info(request):
"""Admin view that displays redis INFO+CONFIG output for all backends."""
redis_info = {}
for key in django_settings.REDIS_BACKENDS.keys():
redis_info[key] = {}
client = redis_client(key)
redis_info[key]['connection'] = django_settings.REDIS_BACKENDS[key]
try:
cfg = client.config_get()
redis_info[key]['config'] = [{
'key': k,
'value': cfg[k]
} for k in sorted(cfg)]
info = client.info()
redis_info[key]['info'] = [{
'key': k,
'value': info[k]
} for k in sorted(info)]
except ConnectionError:
redis_info[key]['down'] = True
return render_to_response('kadmin/redis.html', {
'redis_info': redis_info,
'title': 'Redis Information'
}, RequestContext(request, {}))
def test_creator_nums_redis(self, switch_is_active):
"""Test creator_num_* pulled from karma data."""
try:
KarmaManager()
redis_client('karma').flushdb()
except RedisError:
raise SkipTest
switch_is_active.return_value = True
a = answer(save=True)
AnswerAction(a.creator).save()
AnswerAction(a.creator).save()
SolutionAction(a.creator).save()
eq_(a.creator_num_solutions, 1)
eq_(a.creator_num_answers, 3)
def setUp(self):
super(TopUnhelpfulArticlesCronTests, self).setUp()
self.REDIS_KEY = settings.HELPFULVOTES_UNHELPFUL_KEY
try:
self.redis = redis_client('helpfulvotes')
self.redis.flushdb()
except RedisError:
raise SkipTest
def init_karma():
"""Flushes the karma redis backend and populates with fresh data.
Goes through all questions/answers/votes and save karma actions for them.
"""
if not waffle.switch_is_active('karma'):
return
redis_client('karma').flushdb()
questions = Question.objects.all()
for chunk in chunked(questions.values_list('pk', flat=True), 200):
_process_question_chunk.apply_async(args=[chunk])
votes = AnswerVote.objects.all()
for chunk in chunked(votes.values_list('pk', flat=True), 1000):
_process_answer_vote_chunk.apply_async(args=[chunk])
def setUp(self):
super(TopUnhelpfulArticlesCronTests, self).setUp()
self.REDIS_KEY = settings.HELPFULVOTES_UNHELPFUL_KEY
try:
self.redis = redis_client('helpfulvotes')
self.redis.flushdb()
except RedisError:
raise SkipTest
def __init__(self, redis=None):
if not redis:
try:
redis = redis_client(name='karma')
except RedisError as e:
statsd.incr('redis.errror')
log.error('Redis error: %s' % e)
self.redis = redis
class UnhelpfulReadout(Readout):
title = _lazy(u'Unhelpful Documents')
short_title = _lazy(u'Unhelpful', 'document')
details_link_text = _lazy(u'All unhelpful articles...')
slug = 'unhelpful'
column3_label = _lazy(u'Total Votes')
column4_label = _lazy(u'Helpfulness')
modes = []
default_mode = None
# This class is a namespace and doesn't get instantiated.
key = settings.HELPFULVOTES_UNHELPFUL_KEY
try:
hide_readout = redis_client('helpfulvotes').llen(key) == 0
except RedisError as e:
log.error('Redis error: %s' % e)
hide_readout = True
def rows(self, max=None):
REDIS_KEY = settings.HELPFULVOTES_UNHELPFUL_KEY
try:
redis = redis_client('helpfulvotes')
length = redis.llen(REDIS_KEY)
max_get = max or length
output = redis.lrange(REDIS_KEY, 0, max_get)
except RedisError as e:
log.error('Redis error: %s' % e)
output = []
data = []
for r in output:
row = self._format_row(r)
if row:
data.append(row)
return data
def _format_row(self, strresult):
result = strresult.split('::')
# Filter by product
if self.product:
doc = Document.objects.filter(products__in=[self.product],
slug=result[5])
if not doc.count():
return None
helpfulness = Markup('<span title="%+.1f%%">%.1f%%</span>' %
(float(result[3]) * 100, float(result[2]) * 100))
return dict(title=result[6].decode('utf-8'),
url=reverse('wiki.document_revisions',
args=[unicode(result[5], "utf-8")],
locale=self.locale),
visits=int(float(result[1])),
custom=True,
column4_data=helpfulness)
def landing(request):
"""Customer Care Landing page."""
# Get a redis client
redis = None
try:
redis = redis_client(name='default')
except RedisError as e:
statsd.incr('redis.errror')
log.error('Redis error: %s' % e)
contributor_stats = redis and redis.get(settings.CC_TOP_CONTRIB_CACHE_KEY)
if contributor_stats:
contributor_stats = json.loads(contributor_stats)
statsd.incr('customercare.stats.contributors.hit')
else:
statsd.incr('customercare.stats.contributors.miss')
twitter_user = None
if request.twitter.authed:
try:
credentials = request.twitter.api.verify_credentials()
except (TwythonError, TwythonAuthError):
# Bad oauth token. Create a new session so user re-auths.
request.twitter = twitter.Session()
else:
twitter_user = credentials['screen_name']
yesterday = datetime.now() - timedelta(days=1)
recent_replied_count = _count_answered_tweets(since=yesterday)
return render(
request, 'customercare/landing.html', {
'contributor_stats':
contributor_stats,
'canned_responses':
get_common_replies(request.LANGUAGE_CODE),
'tweets':
_get_tweets(locale=request.LANGUAGE_CODE,
filter='unanswered',
https=request.is_secure()),
'authed':
request.user.is_authenticated() and request.twitter.authed,
'twitter_user':
twitter_user,
'filters':
FILTERS,
'filter':
'unanswered',
'time':
datetime.now(),
'goal':
settings.CC_REPLIES_GOAL,
'recent_replied_count':
recent_replied_count
})
def offline_admin(request):
redis = redis_client('default')
action = request.POST.get('action')
if action == 'generate_all':
log.info('Requested regenerating all bundles.')
build_kb_bundles()
messages.add_message(request, messages.SUCCESS,
'Bundles regenerated!')
elif action == 'delete_all':
if redis.delete(*redis.keys('osumo:*')):
messages.add_message(request, messages.SUCCESS,
'Deleted all bundles!')
else:
messages.add_message(request, messages.ERROR,
'Bundle deleting failed.')
keys = redis.keys('osumo:*')
bundles = []
totalsize = 0
for key in keys:
bundle = {}
# reverse operation to redis_bundle_name, the schema is:
# osumo:locale~product
tmp = key.split(':')[1].split('~')
locale, bundle['product'] = tuple(tmp)
# to get the non .lower()'ed version.
locale = settings.LANGUAGE_URL_MAP[locale]
bundle['locale'] = settings.LOCALES[locale].english
bundle['hash'] = redis.hget(key, 'hash')
updated = redis.hget(key, 'updated')
if updated is not None:
updated = float(redis.hget(key, 'updated'))
updated = datetime.datetime.fromtimestamp(updated)
bundle['updated'] = updated.strftime('%Y-%m-%d %H:%M:%S')
else:
bundle['updated'] = 'N/A'
bundle['size'] = round(len(redis.hget(key, 'bundle')) / 1024.0, 2)
totalsize += bundle['size']
bundles.append(bundle)
# Sorting by by locale and then product
bundles.sort(key=lambda x: x['locale'] + x['product'])
totalsize /= 1024
totalsize = round(totalsize, 2)
return render(request,
'admin/offline.html',
{'title': 'Offline SUMO Administration',
'bundles': bundles,
'totalsize': totalsize})
def offline_admin(request):
redis = redis_client('default')
action = request.POST.get('action')
if action == 'generate_all':
log.info('Requested regenerating all bundles.')
build_kb_bundles()
messages.add_message(request, messages.SUCCESS, 'Bundles regenerated!')
elif action == 'delete_all':
if redis.delete(*redis.keys('osumo:*')):
messages.add_message(request, messages.SUCCESS,
'Deleted all bundles!')
else:
messages.add_message(request, messages.ERROR,
'Bundle deleting failed.')
keys = redis.keys('osumo:*')
bundles = []
totalsize = 0
for key in keys:
bundle = {}
# reverse operation to redis_bundle_name, the schema is:
# osumo:locale~product
tmp = key.split(':')[1].split('~')
locale, bundle['product'] = tuple(tmp)
# to get the non .lower()'ed version.
locale = settings.LANGUAGE_URL_MAP[locale]
bundle['locale'] = settings.LOCALES[locale].english
bundle['hash'] = redis.hget(key, 'hash')
updated = redis.hget(key, 'updated')
if updated is not None:
updated = float(redis.hget(key, 'updated'))
updated = datetime.datetime.fromtimestamp(updated)
bundle['updated'] = updated.strftime('%Y-%m-%d %H:%M:%S')
else:
bundle['updated'] = 'N/A'
bundle['size'] = round(len(redis.hget(key, 'bundle')) / 1024.0, 2)
totalsize += bundle['size']
bundles.append(bundle)
# Sorting by by locale and then product
bundles.sort(key=lambda x: x['locale'] + x['product'])
totalsize /= 1024
totalsize = round(totalsize, 2)
return render(
request, 'admin/offline.html', {
'title': 'Offline SUMO Administration',
'bundles': bundles,
'totalsize': totalsize
})
def reindex_with_scoreboard(mapping_type_names):
"""Reindex all instances of a given mapping type with celery tasks.
This will use Redis to keep track of outstanding tasks so nothing
gets screwed up by two jobs running at once.
"""
# TODO: If this gets fux0rd, then it's possible this could be
# non-zero and we really want to just ignore it. Need the ability
# to ignore it.
try:
client = redis_client('default')
val = client.get(OUTSTANDING_INDEX_CHUNKS)
if val is not None and int(val) > 0:
raise ReindexError('There are %s outstanding chunks.' % val)
# We don't know how many chunks we're building, but we do want
# to make sure another reindex request doesn't slide in here
# and kick off a bunch of chunks.
#
# There is a race condition here.
client.set(OUTSTANDING_INDEX_CHUNKS, 1)
except RedisError:
log.warning('Redis not running. Can not check if there are '
'outstanding tasks.')
batch_id = create_batch_id()
# Break up all the things we want to index into chunks. This
# chunkifies by class then by chunk size.
chunks = []
for cls, indexable in get_indexable(mapping_types=mapping_type_names):
chunks.extend((cls, chunk) for chunk in chunked(indexable, CHUNK_SIZE))
chunks_count = len(chunks)
try:
client = redis_client('default')
client.set(OUTSTANDING_INDEX_CHUNKS, chunks_count)
except RedisError:
log.warning('Redis not running. Can\'t denote outstanding tasks.')
for chunk in chunks:
index = chunk[0].get_index()
index_chunk_task.delay(index, batch_id, chunk)
def landing(request):
"""Customer Care Landing page."""
# Get a redis client
redis = None
try:
redis = redis_client(name="default")
except RedisError as e:
log.error("Redis error: %s" % e)
contributor_stats = redis and redis.get(settings.CC_TOP_CONTRIB_CACHE_KEY)
if contributor_stats:
contributor_stats = json.loads(contributor_stats)
twitter_user = None
if request.twitter.authed:
try:
credentials = request.twitter.api.verify_credentials()
except (TwythonError, TwythonAuthError):
# Bad oauth token. Create a new session so user re-auths.
request.twitter = twitter.Session()
else:
twitter_user = credentials["screen_name"]
yesterday = datetime.now() - timedelta(days=1)
recent_replied_count = _count_answered_tweets(since=yesterday)
return render(
request,
"customercare/landing.html",
{
"contributor_stats":
contributor_stats,
"canned_responses":
get_common_replies(request.LANGUAGE_CODE),
"tweets":
_get_tweets(locale=request.LANGUAGE_CODE,
filter="unanswered",
https=request.is_secure()),
"authed":
request.user.is_authenticated and request.twitter.authed,
"twitter_user":
twitter_user,
"filters":
FILTERS,
"filter":
"unanswered",
"time":
datetime.now(),
"goal":
settings.CC_REPLIES_GOAL,
"recent_replied_count":
recent_replied_count,
},
)
def handle(self, **options):
REDIS_KEY = settings.HELPFULVOTES_UNHELPFUL_KEY
old_formatted = _get_old_unhelpful()
final = _get_current_unhelpful(old_formatted)
if final == {}:
return
def _mean(vals):
"""Argument: List of floats"""
if len(vals) == 0:
return None
return sum(vals) / len(vals)
def _bayes_avg(C, m, R, v):
# Bayesian Average
# C = mean vote, v = number of votes,
# R = mean rating, m = minimum votes to list in topranked
return (C * m + R * v) / (m + v)
mean_perc = _mean(
[float(final[key]['currperc']) for key in final.keys()])
mean_total = _mean(
[float(final[key]['total']) for key in final.keys()])
# TODO: Make this into namedtuples
sorted_final = [(key, final[key]['total'], final[key]['currperc'],
final[key]['diffperc'],
_bayes_avg(mean_perc, mean_total,
final[key]['currperc'],
final[key]['total']))
for key in final.keys()]
sorted_final.sort(key=lambda entry: entry[4]) # Sort by Bayesian Avg
redis = redis_client('helpfulvotes')
redis.delete(REDIS_KEY)
max_total = max([b[1] for b in sorted_final])
for entry in sorted_final:
doc = Document.objects.get(pk=entry[0])
redis.rpush(
REDIS_KEY,
(
u'%s::%s::%s::%s::%s::%s::%s' % (
entry[0], # Document ID
entry[1], # Total Votes
entry[2], # Current Percentage
entry[3], # Difference in Percentage
1 - (entry[1] / max_total), # Graph Color
doc.slug, # Document slug
doc.title, # Document title
)))
def _process_answer_vote_chunk(data):
"""Save karma data for a chunk of answer votes."""
redis = redis_client(name='karma')
v_qs = AnswerVote.objects.select_related('answer')
for vote in v_qs.filter(pk__in=data):
if vote.helpful:
action_class = AnswerMarkedHelpfulAction
else:
action_class = AnswerMarkedNotHelpfulAction
action_class(vote.answer.creator_id, vote.created).save(async=False,
redis=redis)
def _process_answer_vote_chunk(data):
"""Save karma data for a chunk of answer votes."""
redis = redis_client(name='karma')
v_qs = AnswerVote.objects.select_related('answer')
for vote in v_qs.filter(pk__in=data):
if vote.helpful:
action_class = AnswerMarkedHelpfulAction
else:
action_class = AnswerMarkedNotHelpfulAction
action_class(vote.answer.creator_id, vote.created).save(async=False,
redis=redis)
def rows(self, max=None):
REDIS_KEY = settings.HELPFULVOTES_UNHELPFUL_KEY
try:
redis = redis_client('helpfulvotes')
length = redis.llen(REDIS_KEY)
max_get = max or length
output = redis.lrange(REDIS_KEY, 0, max_get)
except RedisError as e:
log.error('Redis error: %s' % e)
output = []
return [self._format_row(r) for r in output]
def cache_most_unhelpful_kb_articles():
"""Calculate and save the most unhelpful KB articles in the past month."""
REDIS_KEY = settings.HELPFULVOTES_UNHELPFUL_KEY
old_formatted = _get_old_unhelpful()
final = _get_current_unhelpful(old_formatted)
if final == {}:
return
def _mean(vals):
"""Argument: List of floats"""
if len(vals) == 0:
return None
return sum(vals) / len(vals)
def _bayes_avg(C, m, R, v):
# Bayesian Average
# C = mean vote, v = number of votes,
# R = mean rating, m = minimum votes to list in topranked
return (C * m + R * v) / (m + v)
mean_perc = _mean([float(final[key]['currperc']) for key in final.keys()])
mean_total = _mean([float(final[key]['total']) for key in final.keys()])
# TODO: Make this into namedtuples
sorted_final = [(key,
final[key]['total'],
final[key]['currperc'],
final[key]['diffperc'],
_bayes_avg(mean_perc, mean_total,
final[key]['currperc'],
final[key]['total']))
for key in final.keys()]
sorted_final.sort(key=lambda entry: entry[4]) # Sort by Bayesian Avg
redis = redis_client('helpfulvotes')
redis.delete(REDIS_KEY)
max_total = max([b[1] for b in sorted_final])
for entry in sorted_final:
doc = Document.objects.get(pk=entry[0])
redis.rpush(REDIS_KEY, (u'%s::%s::%s::%s::%s::%s::%s' %
(entry[0], # Document ID
entry[1], # Total Votes
entry[2], # Current Percentage
entry[3], # Difference in Percentage
1 - (entry[1] / max_total), # Graph Color
doc.slug, # Document slug
doc.title))) # Document title
def rows(self, max=None):
REDIS_KEY = settings.HELPFULVOTES_UNHELPFUL_KEY
try:
redis = redis_client('helpfulvotes')
length = redis.llen(REDIS_KEY)
max_get = max or length
output = redis.lrange(REDIS_KEY, 0, max_get)
except RedisError as e:
log.error('Redis error: %s' % e)
output = []
return [self._format_row(r) for r in output]
def _document_lock_check(document_id):
"""Check for a lock on a document.
Returns the username of the user that has the page locked, or ``None`` if
no user has a lock.
"""
try:
redis = redis_client(name='default')
key = _document_lock_key.format(id=document_id)
return redis.get(key)
except RedisError as e:
statsd.incr('redis.errror')
log.error('Redis error: %s' % e)
return None
def _document_lock_check(document_id):
"""Check for a lock on a document.
Returns the username of the user that has the page locked, or ``None`` if
no user has a lock.
"""
try:
redis = redis_client(name='default')
key = _document_lock_key.format(id=document_id)
return redis.get(key)
except RedisError as e:
statsd.incr('redis.errror')
log.error('Redis error: %s' % e)
return None
def handle_reset(request):
"""Resets the redis scoreboard we use
Why? The reason you'd want to reset it is if the system gets
itself into a hosed state where the redis scoreboard says there
are outstanding tasks, but there aren't. If you enter that state,
this lets you reset the scoreboard.
"""
try:
client = redis_client("default")
client.set(OUTSTANDING_INDEX_CHUNKS, 0)
except RedisError:
log.warning("Redis not running. Can not check if there are " "outstanding tasks.")
return HttpResponseRedirect(request.path)
def index_chunk_task(write_index, batch_id, chunk):
"""Index a chunk of things.
:arg write_index: the name of the index to index to
:arg batch_id: the name for the batch this chunk belongs to
:arg chunk: a (class, id_list) of things to index
"""
# Need to import Record here to prevent circular import
from kitsune.search.models import Record
cls, id_list = chunk
task_name = '{0} {1} -> {2}'.format(cls.get_mapping_type_name(),
id_list[0], id_list[-1])
rec = Record.objects.create(
starttime=datetime.datetime.now(),
text=u'Batch: {0} Task: {1}: Reindexing into {2}'.format(
batch_id, task_name, write_index))
try:
# Pin to master db to avoid replication lag issues and stale
# data.
pin_this_thread()
index_chunk(cls, id_list, reraise=True)
except Exception:
rec.text = u'{0}: Errored out {1} {2}'.format(
rec.text, sys.exc_type,
sys.exc_value)[:255] # Truncate at 255 chars.
log.exception('Error while indexing a chunk')
# Some exceptions aren't pickleable and we need this to throw
# things that are pickleable.
raise IndexingTaskError()
finally:
unpin_this_thread()
rec.endtime = datetime.datetime.now()
rec.save()
try:
client = redis_client('default')
client.decr(OUTSTANDING_INDEX_CHUNKS, 1)
except RedisError:
# If Redis isn't running, then we just log that the task
# was completed.
log.info('Index task %s completed.', task_name)
def index_chunk_task(write_index, batch_id, chunk):
"""Index a chunk of things.
:arg write_index: the name of the index to index to
:arg batch_id: the name for the batch this chunk belongs to
:arg chunk: a (class, id_list) of things to index
"""
# Need to import Record here to prevent circular import
from kitsune.search.models import Record
cls, id_list = chunk
task_name = '{0} {1} -> {2}'.format(
cls.get_mapping_type_name(), id_list[0], id_list[-1])
rec = Record.objects.create(
starttime=datetime.datetime.now(),
text=u'Batch: {0} Task: {1}: Reindexing into {2}'.format(
batch_id, task_name, write_index))
try:
# Pin to master db to avoid replication lag issues and stale
# data.
pin_this_thread()
index_chunk(cls, id_list, reraise=True)
except Exception:
rec.text = u'{0}: Errored out {1} {2}'.format(
rec.text, sys.exc_type, sys.exc_value)[:255] # Truncate at 255 chars.
log.exception('Error while indexing a chunk')
# Some exceptions aren't pickleable and we need this to throw
# things that are pickleable.
raise IndexingTaskError()
finally:
unpin_this_thread()
rec.endtime = datetime.datetime.now()
rec.save()
try:
client = redis_client('default')
client.decr(OUTSTANDING_INDEX_CHUNKS, 1)
except RedisError:
# If Redis isn't running, then we just log that the task
# was completed.
log.info('Index task %s completed.', task_name)
def test_stored_in_redis(self):
key = settings.CC_TOP_CONTRIB_CACHE_KEY
try:
redis = redis_client(name='default')
# Other tests are lame and don't clean up after themselves.
# This also verifies that Redis is alive and well.
redis.delete(key)
except RedisError:
raise SkipTest
get_customercare_stats()
blob = redis.get(key)
stats = json.loads(blob)
eq_(len(stats), 2)
def test_stored_in_redis(self):
key = settings.CC_TOP_CONTRIB_CACHE_KEY
try:
redis = redis_client(name='default')
# Other tests are lame and don't clean up after themselves.
# This also verifies that Redis is alive and well.
redis.delete(key)
except RedisError:
raise SkipTest
get_customercare_stats()
blob = redis.get(key)
stats = json.loads(blob)
eq_(len(stats), 2)
def handle_reset(request):
"""Resets the redis scoreboard we use
Why? The reason you'd want to reset it is if the system gets
itself into a hosed state where the redis scoreboard says there
are outstanding tasks, but there aren't. If you enter that state,
this lets you reset the scoreboard.
"""
try:
client = redis_client('default')
client.set(OUTSTANDING_INDEX_CHUNKS, 0)
except RedisError:
log.warning('Redis not running. Can not check if there are '
'outstanding tasks.')
return HttpResponseRedirect(request.path)
def _document_lock_steal(document_id, user_name, expire_time=60 * 15):
"""Lock a document for a user.
Note that this does not check if the page is already locked, and simply
sets the lock on the page.
"""
try:
redis = redis_client(name='default')
key = _document_lock_key.format(id=document_id)
it_worked = redis.set(key, user_name)
redis.expire(key, expire_time)
return it_worked
except RedisError as e:
statsd.incr('redis.errror')
log.error('Redis error: %s' % e)
return False
def _document_lock_steal(document_id, user_name, expire_time=60 * 15):
"""Lock a document for a user.
Note that this does not check if the page is already locked, and simply
sets the lock on the page.
"""
try:
redis = redis_client(name='default')
key = _document_lock_key.format(id=document_id)
it_worked = redis.set(key, user_name)
redis.expire(key, expire_time)
return it_worked
except RedisError as e:
statsd.incr('redis.errror')
log.error('Redis error: %s' % e)
return False
def landing(request):
"""Customer Care Landing page."""
# Get a redis client
redis = None
try:
redis = redis_client(name="default")
except RedisError as e:
statsd.incr("redis.errror")
log.error("Redis error: %s" % e)
contributor_stats = redis and redis.get(settings.CC_TOP_CONTRIB_CACHE_KEY)
if contributor_stats:
contributor_stats = json.loads(contributor_stats)
statsd.incr("customercare.stats.contributors.hit")
else:
statsd.incr("customercare.stats.contributors.miss")
twitter_user = None
if request.twitter.authed:
try:
credentials = request.twitter.api.verify_credentials()
except (TwythonError, TwythonAuthError):
# Bad oauth token. Create a new session so user re-auths.
request.twitter = twitter.Session()
else:
twitter_user = credentials["screen_name"]
yesterday = datetime.now() - timedelta(days=1)
recent_replied_count = _count_answered_tweets(since=yesterday)
return render(
request,
"customercare/landing.html",
{
"contributor_stats": contributor_stats,
"canned_responses": get_common_replies(request.LANGUAGE_CODE),
"tweets": _get_tweets(locale=request.LANGUAGE_CODE, filter="unanswered", https=request.is_secure()),
"authed": request.user.is_authenticated() and request.twitter.authed,
"twitter_user": twitter_user,
"filters": FILTERS,
"filter": "unanswered",
"goal": settings.CC_REPLIES_GOAL,
"recent_replied_count": recent_replied_count,
},
)
def _process_question_chunk(data):
"""Save karma data for a chunk of questions."""
redis = redis_client(name='karma')
q_qs = Question.objects.select_related('solution').defer('content')
for question in q_qs.filter(pk__in=data):
first = True
a_qs = question.answers.order_by('created').select_related('creator')
for answer in a_qs.values_list('creator', 'created'):
AnswerAction(answer[0], answer[1]).save(async=False, redis=redis)
if first:
FirstAnswerAction(answer[0], answer[1]).save(async=False,
redis=redis)
first = False
soln = question.solution
if soln:
SolutionAction(soln.creator, soln.created).save(async=False,
redis=redis)
def _process_question_chunk(data):
"""Save karma data for a chunk of questions."""
redis = redis_client(name='karma')
q_qs = Question.objects.select_related('solution').defer('content')
for question in q_qs.filter(pk__in=data):
first = True
a_qs = question.answers.order_by('created').select_related('creator')
for answer in a_qs.values_list('creator', 'created'):
AnswerAction(answer[0], answer[1]).save(async=False, redis=redis)
if first:
FirstAnswerAction(answer[0], answer[1]).save(async=False,
redis=redis)
first = False
soln = question.solution
if soln:
SolutionAction(soln.creator, soln.created).save(async=False,
redis=redis)
def landing(request):
"""Customer Care Landing page."""
# Get a redis client
redis = None
try:
redis = redis_client(name='default')
except RedisError as e:
statsd.incr('redis.errror')
log.error('Redis error: %s' % e)
contributor_stats = redis and redis.get(settings.CC_TOP_CONTRIB_CACHE_KEY)
if contributor_stats:
contributor_stats = json.loads(contributor_stats)
statsd.incr('customercare.stats.contributors.hit')
else:
statsd.incr('customercare.stats.contributors.miss')
twitter_user = None
if request.twitter.authed:
try:
credentials = request.twitter.api.verify_credentials()
except (TwythonError, TwythonAuthError):
# Bad oauth token. Create a new session so user re-auths.
request.twitter = twitter.Session()
else:
twitter_user = credentials['screen_name']
yesterday = datetime.now() - timedelta(days=1)
recent_replied_count = _count_answered_tweets(since=yesterday)
return render(request, 'customercare/landing.html', {
'contributor_stats': contributor_stats,
'canned_responses': get_common_replies(request.LANGUAGE_CODE),
'tweets': _get_tweets(locale=request.LANGUAGE_CODE,
filter='unanswered',
https=request.is_secure()),
'authed': request.user.is_authenticated() and request.twitter.authed,
'twitter_user': twitter_user,
'filters': FILTERS,
'filter': 'unanswered',
'time': datetime.now(),
'goal': settings.CC_REPLIES_GOAL,
'recent_replied_count': recent_replied_count})
def rows(self, max=None):
REDIS_KEY = settings.HELPFULVOTES_UNHELPFUL_KEY
try:
redis = redis_client('helpfulvotes')
length = redis.llen(REDIS_KEY)
max_get = max or length
output = redis.lrange(REDIS_KEY, 0, max_get)
except RedisError as e:
log.error('Redis error: {0!s}'.format(e))
output = []
data = []
for r in output:
row = self._format_row(r)
if row:
data.append(row)
return data
def redis_info(request):
"""Admin view that displays redis INFO+CONFIG output for all backends."""
redis_info = {}
for key in django_settings.REDIS_BACKENDS.keys():
redis_info[key] = {}
client = redis_client(key)
redis_info[key]["connection"] = django_settings.REDIS_BACKENDS[key]
try:
cfg = client.config_get()
redis_info[key]["config"] = [{"key": k, "value": cfg[k]} for k in sorted(cfg)]
info = client.info()
redis_info[key]["info"] = [{"key": k, "value": info[k]} for k in sorted(info)]
except ConnectionError:
redis_info[key]["down"] = True
return render_to_response(
"kadmin/redis.html", {"redis_info": redis_info, "title": "Redis Information"}, RequestContext(request, {})
)
def rows(self, max=None):
REDIS_KEY = settings.HELPFULVOTES_UNHELPFUL_KEY
try:
redis = redis_client("helpfulvotes")
length = redis.llen(REDIS_KEY)
max_get = max or length
output = redis.lrange(REDIS_KEY, 0, max_get)
except RedisError as e:
log.error("Redis error: %s" % e)
output = []
data = []
for r in output:
row = self._format_row(r)
if row:
data.append(row)
return data
def redis_info(request):
"""Admin view that displays redis INFO+CONFIG output for all backends."""
redis_info = {}
for key in django_settings.REDIS_BACKENDS.keys():
redis_info[key] = {}
client = redis_client(key)
redis_info[key]['connection'] = django_settings.REDIS_BACKENDS[key]
try:
cfg = client.config_get()
redis_info[key]['config'] = [{'key': k, 'value': cfg[k]} for k in
sorted(cfg)]
info = client.info()
redis_info[key]['info'] = [{'key': k, 'value': info[k]} for k in
sorted(info)]
except ConnectionError:
redis_info[key]['down'] = True
return render_to_response('kadmin/redis.html',
{'redis_info': redis_info,
'title': 'Redis Information'},
RequestContext(request, {}))
def build_kb_bundles(products=('firefox-os', 'firefox', 'mobile')):
redis = redis_client('default')
if not redis:
raise IOError('Redis not available. Cannot generate offline bundles.')
start_time = time.time()
size = 0
products = [Product.objects.get(slug=p) for p in products]
with statsd.timer('offline.build_kb_bundles.time_elapsed'):
for locale in settings.SUMO_LANGUAGES:
for product in products:
with uselocale(locale):
bundle = merge_bundles(bundle_for_product(product, locale))
size += len(
insert_bundle_into_redis(redis, product.slug, locale,
bundle)[0])
time_taken = time.time() - start_time
log.info('Generated all offline bundles. '
'Size: {0}. Took {1} seconds'.format(size, time_taken))
def _document_lock_clear(document_id, user_name):
"""Remove a lock from a document.
This would be used to indicate the given user no longer wants the page
locked, so the lock should be cleared.
If the `user` parameter does not match the current lock, the lock remains
in place.
Returns true if the lock was removed, false otherwise.
"""
try:
redis = redis_client(name='default')
key = _document_lock_key.format(id=document_id)
locked_by = redis.get(key)
if locked_by == user_name:
return redis.delete(key)
else:
return False
except RedisError as e:
statsd.incr('redis.errror')
log.error('Redis error: %s' % e)
return False
def bundle_meta(request):
"""This view is responsible for update checking."""
if 'locale' not in request.GET or 'product' not in request.GET:
return HttpResponseBadRequest(BAD_REQUEST, mimetype='application/json')
locale = request.GET['locale']
product = request.GET['product']
name = redis_bundle_name(locale, product)
try:
redis = redis_client('default')
except RedisError:
return HttpResponse('{"error": "no bundles available"}',
mimetype='application/json',
status=503)
bundle_hash = redis.hget(name, 'hash')
if bundle_hash:
u = {'hash': bundle_hash}
return HttpResponse(json.dumps(u), mimetype='application/json')
else:
return HttpResponseNotFound(NOT_FOUND, mimetype='application/json')
def _document_lock_clear(document_id, user_name):
"""Remove a lock from a document.
This would be used to indicate the given user no longer wants the page
locked, so the lock should be cleared.
If the `user` parameter does not match the current lock, the lock remains
in place.
Returns true if the lock was removed, false otherwise.
"""
try:
redis = redis_client(name='default')
key = _document_lock_key.format(id=document_id)
locked_by = redis.get(key)
if locked_by == user_name:
return redis.delete(key)
else:
return False
except RedisError as e:
statsd.incr('redis.errror')
log.error('Redis error: %s' % e)
return False
def redis_info(request):
"""Admin view that displays redis INFO+CONFIG output for all backends."""
redis_info = {}
for key in list(django_settings.REDIS_BACKENDS.keys()):
redis_info[key] = {}
client = redis_client(key)
redis_info[key]["connection"] = django_settings.REDIS_BACKENDS[key]
try:
cfg = client.config_get()
redis_info[key]["config"] = [
{"key": k, "value": cfg[k]} for k in sorted(cfg)
]
info = client.info()
redis_info[key]["info"] = [
{"key": k, "value": info[k]} for k in sorted(info)
]
except ConnectionError:
redis_info[key]["down"] = True
return render_to_response(
"kadmin/redis.html",
{"redis_info": redis_info, "title": "Redis Information"},
RequestContext(request, {}),
)
def build_kb_bundles(products=('firefox-os', 'firefox', 'mobile')):
redis = redis_client('default')
if not redis:
raise IOError('Redis not available. Cannot generate offline bundles.')
start_time = time.time()
size = 0
products = [Product.objects.get(slug=p) for p in products]
with statsd.timer('offline.build_kb_bundles.time_elapsed'):
for locale in settings.SUMO_LANGUAGES:
for product in products:
with uselocale(locale):
bundle = merge_bundles(bundle_for_product(product, locale))
size += len(insert_bundle_into_redis(redis,
product.slug,
locale,
bundle)[0])
time_taken = time.time() - start_time
log.info('Generated all offline bundles. '
'Size: {0}. Took {1} seconds'.format(size, time_taken))
def get_customercare_stats():
"""
Generate customer care stats from the Replies table.
This gets cached in Redis as a sorted list of contributors, stored as JSON.
Example Top Contributor data:
[
{
'twitter_username': '******',
'avatar': 'http://twitter.com/path/to/the/avatar.png',
'avatar_https': 'https://twitter.com/path/to/the/avatar.png',
'all': 5211,
'1m': 230,
'1w': 33,
'1d': 3,
},
{ ... },
{ ... },
]
"""
if settings.STAGE:
print ('Skipped get_customercare_stats(). '
'Set settings.STAGE to False to run it for real.')
return
contributor_stats = {}
now = datetime.now()
one_month_ago = now - timedelta(days=30)
one_week_ago = now - timedelta(days=7)
yesterday = now - timedelta(days=1)
for chunk in chunked(Reply.objects.all(), 2500, Reply.objects.count()):
for reply in chunk:
user = reply.twitter_username
if user not in contributor_stats:
raw = json.loads(reply.raw_json)
if 'from_user' in raw: # For tweets collected using v1 API
user_data = raw
else:
user_data = raw['user']
contributor_stats[user] = {
'twitter_username': user,
'avatar': user_data['profile_image_url'],
'avatar_https': user_data['profile_image_url_https'],
'all': 0, '1m': 0, '1w': 0, '1d': 0,
}
contributor = contributor_stats[reply.twitter_username]
contributor['all'] += 1
if reply.created > one_month_ago:
contributor['1m'] += 1
if reply.created > one_week_ago:
contributor['1w'] += 1
if reply.created > yesterday:
contributor['1d'] += 1
sort_key = settings.CC_TOP_CONTRIB_SORT
limit = settings.CC_TOP_CONTRIB_LIMIT
# Sort by whatever is in settings, break ties with 'all'
contributor_stats = sorted(contributor_stats.values(),
key=lambda c: (c[sort_key], c['all']),
reverse=True)[:limit]
try:
redis = redis_client(name='default')
key = settings.CC_TOP_CONTRIB_CACHE_KEY
redis.set(key, json.dumps(contributor_stats))
except RedisError as e:
statsd.incr('redis.error')
log.error('Redis error: %s' % e)
return contributor_stats
def handle(self, **options):
"""
This gets cached in Redis as a sorted list of contributors, stored as JSON.
Example Top Contributor data:
[
{
'twitter_username': '******',
'avatar': 'http://twitter.com/path/to/the/avatar.png',
'avatar_https': 'https://twitter.com/path/to/the/avatar.png',
'all': 5211,
'1m': 230,
'1w': 33,
'1d': 3,
},
{ ... },
{ ... },
]
"""
if settings.STAGE:
return
contributor_stats = {}
now = datetime.now()
one_month_ago = now - timedelta(days=30)
one_week_ago = now - timedelta(days=7)
yesterday = now - timedelta(days=1)
for chunk in chunked(Reply.objects.all(), 2500, Reply.objects.count()):
for reply in chunk:
user = reply.twitter_username
if user not in contributor_stats:
raw = json.loads(reply.raw_json)
if "from_user" in raw: # For tweets collected using v1 API
user_data = raw
else:
user_data = raw["user"]
contributor_stats[user] = {
"twitter_username": user,
"avatar": user_data["profile_image_url"],
"avatar_https": user_data["profile_image_url_https"],
"all": 0,
"1m": 0,
"1w": 0,
"1d": 0,
}
contributor = contributor_stats[reply.twitter_username]
contributor["all"] += 1
if reply.created > one_month_ago:
contributor["1m"] += 1
if reply.created > one_week_ago:
contributor["1w"] += 1
if reply.created > yesterday:
contributor["1d"] += 1
sort_key = settings.CC_TOP_CONTRIB_SORT
limit = settings.CC_TOP_CONTRIB_LIMIT
# Sort by whatever is in settings, break ties with 'all'
contributor_stats = sorted(
list(contributor_stats.values()),
key=lambda c: (c[sort_key], c["all"]),
reverse=True,
)[:limit]
try:
redis = redis_client(name="default")
key = settings.CC_TOP_CONTRIB_CACHE_KEY
redis.set(key, json.dumps(contributor_stats))
except RedisError as e:
log.error("Redis error: %s" % e)
return contributor_stats
except ES_EXCEPTIONS:
pass
try:
write_stats = get_doctype_stats(write_index())
except ES_EXCEPTIONS:
pass
try:
indexes = get_indexes()
indexes.sort(key=lambda m: m[0])
except ES_EXCEPTIONS as e:
error_messages.append('Error: {0}'.format(repr(e)))
try:
client = redis_client('default')
outstanding_chunks = int(client.get(OUTSTANDING_INDEX_CHUNKS))
except (RedisError, TypeError):
pass
recent_records = Record.uncached.order_by('-starttime')[:20]
return render(
request, 'admin/search_maintenance.html', {
'title': 'Search',
'es_deets': es_deets,
'doctype_stats': stats,
'doctype_write_stats': write_stats,
'indexes': indexes,
'read_index': read_index(),
'write_index': write_index(),
def handle_reindex(request):
"""Caculates and kicks off indexing tasks"""
# This is truthy if the user wants us to delete and recreate
# the index first.
delete_index_first = bool(request.POST.get('delete_index'))
if delete_index_first:
# Coming from the delete form, so we reindex all models.
mapping_types_to_index = None
else:
# Coming from the reindex form, so we reindex whatever we're
# told.
mapping_types_to_index = [
name.replace('check_', '') for name in request.POST.keys()
if name.startswith('check_')
]
# TODO: If this gets fux0rd, then it's possible this could be
# non-zero and we really want to just ignore it. Need the ability
# to ignore it.
try:
client = redis_client('default')
val = client.get(OUTSTANDING_INDEX_CHUNKS)
if val is not None and int(val) > 0:
raise ReindexError('There are %s outstanding chunks.' % val)
# We don't know how many chunks we're building, but we do want
# to make sure another reindex request doesn't slide in here
# and kick off a bunch of chunks.
#
# There is a race condition here.
client.set(OUTSTANDING_INDEX_CHUNKS, 1)
except RedisError:
log.warning('Redis not running. Can not check if there are '
'outstanding tasks.')
batch_id = create_batch_id()
# Break up all the things we want to index into chunks. This
# chunkifies by class then by chunk size.
chunks = []
for cls, indexable in get_indexable(mapping_types=mapping_types_to_index):
chunks.extend((cls, chunk) for chunk in chunked(indexable, CHUNK_SIZE))
if delete_index_first:
# The previous lines do a lot of work and take some time to
# execute. So we wait until here to wipe and rebuild the
# index. That reduces the time that there is no index by a little.
recreate_index()
chunks_count = len(chunks)
try:
client = redis_client('default')
client.set(OUTSTANDING_INDEX_CHUNKS, chunks_count)
except RedisError:
log.warning('Redis not running. Can\'t denote outstanding tasks.')
for chunk in chunks:
index_chunk_task.delay(write_index(), batch_id, chunk)
return HttpResponseRedirect(request.path)
def get_customercare_stats():
"""
Generate customer care stats from the Replies table.
This gets cached in Redis as a sorted list of contributors, stored as JSON.
Example Top Contributor data:
[
{
'twitter_username': '******',
'avatar': 'http://twitter.com/path/to/the/avatar.png',
'avatar_https': 'https://twitter.com/path/to/the/avatar.png',
'all': 5211,
'1m': 230,
'1w': 33,
'1d': 3,
},
{ ... },
{ ... },
]
"""
if settings.STAGE:
return
contributor_stats = {}
now = datetime.now()
one_month_ago = now - timedelta(days=30)
one_week_ago = now - timedelta(days=7)
yesterday = now - timedelta(days=1)
for chunk in chunked(Reply.objects.all(), 2500, Reply.objects.count()):
for reply in chunk:
user = reply.twitter_username
if user not in contributor_stats:
raw = json.loads(reply.raw_json)
if 'from_user' in raw: # For tweets collected using v1 API
user_data = raw
else:
user_data = raw['user']
contributor_stats[user] = {
'twitter_username': user,
'avatar': user_data['profile_image_url'],
'avatar_https': user_data['profile_image_url_https'],
'all': 0,
'1m': 0,
'1w': 0,
'1d': 0,
}
contributor = contributor_stats[reply.twitter_username]
contributor['all'] += 1
if reply.created > one_month_ago:
contributor['1m'] += 1
if reply.created > one_week_ago:
contributor['1w'] += 1
if reply.created > yesterday:
contributor['1d'] += 1
sort_key = settings.CC_TOP_CONTRIB_SORT
limit = settings.CC_TOP_CONTRIB_LIMIT
# Sort by whatever is in settings, break ties with 'all'
contributor_stats = sorted(contributor_stats.values(),
key=lambda c: (c[sort_key], c['all']),
reverse=True)[:limit]
try:
redis = redis_client(name='default')
key = settings.CC_TOP_CONTRIB_CACHE_KEY
redis.set(key, json.dumps(contributor_stats))
except RedisError as e:
statsd.incr('redis.error')
log.error('Redis error: %s' % e)
return contributor_stats
def handle_reindex(request):
"""Caculates and kicks off indexing tasks"""
# This is truthy if the user wants us to delete and recreate
# the index first.
delete_index_first = bool(request.POST.get('delete_index'))
if delete_index_first:
# Coming from the delete form, so we reindex all models.
mapping_types_to_index = None
else:
# Coming from the reindex form, so we reindex whatever we're
# told.
mapping_types_to_index = [name.replace('check_', '')
for name in request.POST.keys()
if name.startswith('check_')]
# TODO: If this gets fux0rd, then it's possible this could be
# non-zero and we really want to just ignore it. Need the ability
# to ignore it.
try:
client = redis_client('default')
val = client.get(OUTSTANDING_INDEX_CHUNKS)
if val is not None and int(val) > 0:
raise ReindexError('There are %s outstanding chunks.' % val)
# We don't know how many chunks we're building, but we do want
# to make sure another reindex request doesn't slide in here
# and kick off a bunch of chunks.
#
# There is a race condition here.
client.set(OUTSTANDING_INDEX_CHUNKS, 1)
except RedisError:
log.warning('Redis not running. Can not check if there are '
'outstanding tasks.')
batch_id = create_batch_id()
# Break up all the things we want to index into chunks. This
# chunkifies by class then by chunk size.
chunks = []
for cls, indexable in get_indexable(mapping_types=mapping_types_to_index):
chunks.extend(
(cls, chunk) for chunk in chunked(indexable, CHUNK_SIZE))
if delete_index_first:
# The previous lines do a lot of work and take some time to
# execute. So we wait until here to wipe and rebuild the
# index. That reduces the time that there is no index by a little.
recreate_index()
chunks_count = len(chunks)
try:
client = redis_client('default')
client.set(OUTSTANDING_INDEX_CHUNKS, chunks_count)
except RedisError:
log.warning('Redis not running. Can\'t denote outstanding tasks.')
for chunk in chunks:
index_chunk_task.delay(write_index(), batch_id, chunk)
return HttpResponseRedirect(request.path)
def search(request):
"""Render the admin view containing search tools"""
if not request.user.has_perm('search.reindex'):
raise PermissionDenied
error_messages = []
stats = {}
if 'reset' in request.POST:
try:
return handle_reset(request)
except ReindexError as e:
error_messages.append(u'Error: %s' % e.message)
if 'reindex' in request.POST:
try:
return handle_reindex(request)
except ReindexError as e:
error_messages.append(u'Error: %s' % e.message)
if 'recreate_index' in request.POST:
try:
return handle_recreate_index(request)
except ReindexError as e:
error_messages.append(u'Error: %s' % e.message)
if 'delete_index' in request.POST:
try:
return handle_delete(request)
except DeleteError as e:
error_messages.append(u'Error: %s' % e.message)
except ES_EXCEPTIONS as e:
error_messages.append('Error: {0}'.format(repr(e)))
stats = None
write_stats = None
es_deets = None
indexes = []
outstanding_chunks = None
try:
# TODO: SUMO has a single ES_URL and that's the ZLB and does
# the balancing. If that ever changes and we have multiple
# ES_URLs, then this should get fixed.
es_deets = requests.get(settings.ES_URLS[0]).json()
except requests.exceptions.RequestException:
pass
stats = {}
for index in all_read_indexes():
try:
stats[index] = get_doctype_stats(index)
except ES_EXCEPTIONS:
stats[index] = None
write_stats = {}
for index in all_write_indexes():
try:
write_stats[index] = get_doctype_stats(index)
except ES_EXCEPTIONS:
write_stats[index] = None
try:
indexes = get_indexes()
indexes.sort(key=lambda m: m[0])
except ES_EXCEPTIONS as e:
error_messages.append('Error: {0}'.format(repr(e)))
try:
client = redis_client('default')
outstanding_chunks = int(client.get(OUTSTANDING_INDEX_CHUNKS))
except (RedisError, TypeError):
pass
recent_records = Record.uncached.order_by('-starttime')[:100]
outstanding_records = (Record.uncached.filter(
endtime__isnull=True).order_by('-starttime'))
index_groups = set(settings.ES_INDEXES.keys())
index_groups |= set(settings.ES_WRITE_INDEXES.keys())
index_group_data = [[group, read_index(group),
write_index(group)] for group in index_groups]
return render(
request, 'admin/search_maintenance.html', {
'title': 'Search',
'es_deets': es_deets,
'doctype_stats': stats,
'doctype_write_stats': write_stats,
'indexes': indexes,
'index_groups': index_groups,
'index_group_data': index_group_data,
'read_indexes': all_read_indexes,
'write_indexes': all_write_indexes,
'error_messages': error_messages,
'recent_records': recent_records,
'outstanding_records': outstanding_records,
'outstanding_chunks': outstanding_chunks,
'now': datetime.now(),
'read_index': read_index,
'write_index': write_index,
})
def setUp(self):
super(OfflineViewTests, self).setUp()
try:
redis_client('default').flushdb()
except RedisError:
raise SkipTest
def monitor(request):
"""View for services monitor."""
status = {}
# Note: To add a new component to the services monitor, do your
# testing and then add a name -> list of output tuples map to
# status.
# Check memcached.
memcache_results = []
try:
for cache_name, cache_props in settings.CACHES.items():
result = True
backend = cache_props['BACKEND']
location = cache_props['LOCATION']
# LOCATION can be a string or a list of strings
if isinstance(location, basestring):
location = location.split(';')
if 'memcache' in backend:
for loc in location:
# TODO: this doesn't handle unix: variant
ip, port = loc.split(':')
result = test_memcached(ip, int(port))
memcache_results.append(
(INFO, '%s:%s %s' % (ip, port, result)))
if not memcache_results:
memcache_results.append((ERROR, 'memcache is not configured.'))
elif len(memcache_results) < 2:
memcache_results.append(
(ERROR, ('You should have at least 2 memcache servers. '
'You have %s.' % len(memcache_results))))
else:
memcache_results.append((INFO, 'memcached servers look good.'))
except Exception as exc:
memcache_results.append(
(ERROR, 'Exception while looking at memcached: %s' % str(exc)))
status['memcached'] = memcache_results
# Check Libraries and versions
libraries_results = []
try:
Image.new('RGB', (16, 16)).save(StringIO.StringIO(), 'JPEG')
libraries_results.append((INFO, 'PIL+JPEG: Got it!'))
except Exception as exc:
libraries_results.append((ERROR, 'PIL+JPEG: Probably missing: '
'Failed to create a jpeg image: %s' % exc))
status['libraries'] = libraries_results
# Check file paths.
msg = 'We want read + write.'
filepaths = (
(settings.USER_AVATAR_PATH, os.R_OK | os.W_OK, msg),
(settings.IMAGE_UPLOAD_PATH, os.R_OK | os.W_OK, msg),
(settings.THUMBNAIL_UPLOAD_PATH, os.R_OK | os.W_OK, msg),
(settings.GALLERY_IMAGE_PATH, os.R_OK | os.W_OK, msg),
(settings.GALLERY_IMAGE_THUMBNAIL_PATH, os.R_OK | os.W_OK, msg),
(settings.GALLERY_VIDEO_PATH, os.R_OK | os.W_OK, msg),
(settings.GALLERY_VIDEO_THUMBNAIL_PATH, os.R_OK | os.W_OK, msg),
(settings.GROUP_AVATAR_PATH, os.R_OK | os.W_OK, msg),
)
filepath_results = []
for path, perms, notes in filepaths:
path = os.path.join(settings.MEDIA_ROOT, path)
path_exists = os.path.isdir(path)
path_perms = os.access(path, perms)
if path_exists and path_perms:
filepath_results.append(
(INFO,
'%s: %s %s %s' % (path, path_exists, path_perms, notes)))
status['filepaths'] = filepath_results
# Check RabbitMQ.
rabbitmq_results = []
try:
rabbit_conn = establish_connection(connect_timeout=5)
rabbit_conn.connect()
rabbitmq_results.append((INFO, 'Successfully connected to RabbitMQ.'))
except (socket.error, IOError) as exc:
rabbitmq_results.append(
(ERROR, 'Error connecting to RabbitMQ: %s' % str(exc)))
except Exception as exc:
rabbitmq_results.append(
(ERROR, 'Exception while looking at RabbitMQ: %s' % str(exc)))
status['RabbitMQ'] = rabbitmq_results
# Check ES.
es_results = []
try:
es_utils.get_doctype_stats(es_utils.all_read_indexes()[0])
es_results.append(
(INFO, ('Successfully connected to ElasticSearch and index '
'exists.')))
except es_utils.ES_EXCEPTIONS as exc:
es_results.append((ERROR, 'ElasticSearch problem: %s' % str(exc)))
except Exception as exc:
es_results.append(
(ERROR, 'Exception while looking at ElasticSearch: %s' % str(exc)))
status['ElasticSearch'] = es_results
# Check Celery.
# start = time.time()
# pong = celery.task.ping()
# rabbit_results = r = {'duration': time.time() - start}
# status_summary['rabbit'] = pong == 'pong' and r['duration'] < 1
# Check Redis.
redis_results = []
if hasattr(settings, 'REDIS_BACKENDS'):
for backend in settings.REDIS_BACKENDS:
try:
redis_client(backend)
redis_results.append((INFO, '%s: Pass!' % backend))
except RedisError:
redis_results.append((ERROR, '%s: Fail!' % backend))
status['Redis'] = redis_results
status_code = 200
status_summary = {}
for component, output in status.items():
if ERROR in [item[0] for item in output]:
status_code = 500
status_summary[component] = False
else:
status_summary[component] = True
return render(request,
'services/monitor.html', {
'component_status': status,
'status_summary': status_summary
},
status=status_code)
from django.conf import settings
from kitsune.customercare.cron import get_customercare_stats
from kitsune.sumo.redis_utils import redis_client, RedisError
try:
print "Removing old data"
redis = redis_client(name='default')
redis.delete(settings.CC_TOP_CONTRIB_CACHE_KEY)
print "Collecting new data."
get_customercare_stats()
print "Done"
except RedisError:
print "This migration needs Redis to be done."
