def auto_delete_duplicate_crashes():
logger = logging.getLogger('limitation')
result = delete_duplicate_crashes()
if result.get('count', 0):
log_id = str(uuid.uuid4())
params = dict(log_id=log_id)
splunk_url = get_splunk_url(params)
splunk_filter = 'log_id=%s' % log_id if splunk_url else None
ids_list = sorted([element['id'] for element in result['elements']])
raven_extra = {
"id": log_id,
"splunk_url": splunk_url,
"splunk_filter": splunk_filter,
"crash_list": ids_list
}
raven.captureMessage(
"[Limitation]Periodic task 'Duplicated' cleaned up %d crashes, total size of cleaned space is %s [%d]"
% (result['count'], filters.filesizeformat(result['size']).replace(
u'\xa0', u' '), time.time()),
data=dict(level=20, logger='limitation'),
extra=raven_extra)
extra = dict(log_id=log_id,
meta=True,
count=result['count'],
size=filters.filesizeformat(result['size']).replace(
u'\xa0', u' '),
reason='duplicated',
model='Crash')
logger.info(add_extra_to_log_message('Automatic cleanup', extra=extra))
for element in result['elements']:
element.update({"log_id": log_id, "Crash_id": element.pop('id')})
logger.info(
add_extra_to_log_message('Automatic cleanup element',
extra=element))
def auto_delete_size_is_exceeded():
logger = logging.getLogger('limitation')
model_list = [('crash', 'Crash'), ('feedback', 'Feedback')]
for model in model_list:
result = delete_size_is_exceeded(*model)
if result.get('count', 0):
result['size'] /= 1024.0 * 1024
log_id = str(uuid.uuid4())
params = dict(log_id=log_id)
splunk_url = get_splunk_url(params)
splunk_filter = 'log_id=%s' % log_id if splunk_url else None
raven_extra = dict(id=log_id,
splunk_url=splunk_url,
splunk_filter=splunk_filter)
raven.captureMessage(
"[Limitation]Periodic task 'Size is exceeded' cleaned up %d %s, total size of cleaned space is %.2f Mb[%d]"
% (result['count'], model[1], result['size'], time.time()),
data=dict(level=20, logger='limitation'),
extra=raven_extra)
extra = dict(log_id=log_id,
meta=True,
count=result['count'],
size=result['size'],
model=model[1],
reason='size_is_exceeded')
logger.info(
add_extra_to_log_message('Automatic cleanup', extra=extra))
for element in result['elements']:
element.update(dict(log_id=log_id))
logger.info(
add_extra_to_log_message('Automatic cleanup element',
extra=element))
def auto_delete_duplicate_crashes():
logger = logging.getLogger('limitation')
result = delete_duplicate_crashes()
if result.get('count', 0):
result['size'] /= 1024.0 * 1024
log_id = str(uuid.uuid4())
params = dict(log_id=log_id)
splunk_url = get_splunk_url(params)
splunk_filter = 'log_id=%s' % log_id if splunk_url else None
raven_extra = dict(id=log_id,
splunk_url=splunk_url,
splunk_filter=splunk_filter)
raven.captureMessage(
"[Limitation]Periodic task 'Duplicated' cleaned up %d crashes, total size of cleaned space is %.2f Mb[%d]"
% (result['count'], result['size'], time.time()),
data=dict(level=20, logger='limitation'),
extra=raven_extra)
extra = dict(log_id=log_id,
meta=True,
count=result['count'],
size=result['size'],
reason='duplicated',
model='Crash')
logger.info(add_extra_to_log_message('Automatic cleanup', extra=extra))
for element in result['elements']:
element.update(dict(log_id=log_id))
logger.info(
add_extra_to_log_message('Automatic cleanup element',
extra=element))
def deferred_manual_cleanup(model,
limit_size=None,
limit_days=None,
limit_duplicated=None):
logger = logging.getLogger('limitation')
full_result = dict(count=0, size=0, elements=[])
if limit_duplicated:
result = delete_duplicate_crashes(limit=limit_duplicated)
if result.get('count', 0):
full_result['count'] += result['count']
full_result['size'] += result['size']
full_result['elements'] += result['elements']
if limit_days:
result = delete_older_than(*model, limit=limit_days)
if result.get('count', 0):
full_result['count'] += result['count']
full_result['size'] += result['size']
full_result['elements'] += result['elements']
if limit_size:
result = delete_size_is_exceeded(*model, limit=limit_size)
if result.get('count', 0):
full_result['count'] += result['count']
full_result['size'] += result['size']
full_result['elements'] += result['elements']
full_result['size'] /= 1024.0 * 1024
log_id = str(uuid.uuid4())
params = dict(log_id=log_id)
splunk_url = get_splunk_url(params)
splunk_filter = 'log_id=%s' % log_id if splunk_url else None
raven_extra = dict(id=log_id,
splunk_url=splunk_url,
splunk_filter=splunk_filter)
raven.captureMessage(
"[Limitation]Manual cleanup freed %d %s, total size of cleaned space is %.2f Mb[%s]"
% (full_result['count'], model[1], full_result['size'], log_id),
data=dict(level=20, logger='limitation'),
extra=raven_extra)
extra = dict(log_id=log_id,
meta=True,
count=full_result['count'],
size=full_result['size'],
model=model[1],
limit_duplicated=limit_duplicated,
limit_size=limit_size,
limit_days=limit_days,
reason='manual')
logger.info(add_extra_to_log_message('Manual cleanup', extra=extra))
for element in full_result['elements']:
element.update(dict(log_id=log_id))
logger.info(
add_extra_to_log_message('Manual cleanup element', extra=element))
def auto_delete_duplicate_crashes():
logger = logging.getLogger('limitation')
result = delete_duplicate_crashes()
if result.get('count', 0):
log_id = str(uuid.uuid4())
params = dict(log_id=log_id)
splunk_url = get_splunk_url(params)
splunk_filter = 'log_id=%s' % log_id if splunk_url else None
raven_extra = dict(id=log_id, splunk_url=splunk_url, splunk_filter=splunk_filter)
raven.captureMessage("[Limitation]Periodic task 'Duplicated' cleaned up %d crashes, total size of cleaned space is %s [%d]" %
(result['count'], filters.filesizeformat(result['size']).replace(u'\xa0', u' '), time.time()),
data=dict(level=20, logger='limitation'), extra=raven_extra)
extra = dict(log_id=log_id, meta=True, count=result['count'], size=filters.filesizeformat(result['size']).replace(u'\xa0', u' '), reason='duplicated', model='Crash')
logger.info(add_extra_to_log_message('Automatic cleanup', extra=extra))
for element in result['elements']:
element.update(dict(log_id=log_id))
logger.info(add_extra_to_log_message('Automatic cleanup element', extra=element))
def auto_delete_size_is_exceeded():
logger = logging.getLogger('limitation')
model_list = [('crash', 'Crash'), ('feedback', 'Feedback')]
for model in model_list:
result = delete_size_is_exceeded(*model)
if result.get('count', 0):
log_id = str(uuid.uuid4())
params = dict(log_id=log_id)
splunk_url = get_splunk_url(params)
splunk_filter = 'log_id=%s' % log_id if splunk_url else None
ids_list = sorted(
[element['id'] for element in result['elements']])
raven_extra = {
"id": log_id,
"splunk_url": splunk_url,
"splunk_filter": splunk_filter,
"%s_list" % (model[1]): ids_list
}
raven.captureMessage(
"[Limitation]Periodic task 'Size is exceeded' cleaned up %d %s, total size of cleaned space is %s [%d]"
% (result['count'], model[1],
filters.filesizeformat(result['size']).replace(
u'\xa0', u' '), time.time()),
data=dict(level=20, logger='limitation'),
extra=raven_extra)
extra = dict(log_id=log_id,
meta=True,
count=result['count'],
size=filters.filesizeformat(result['size']).replace(
u'\xa0', u' '),
model=model[1],
reason='size_is_exceeded')
logger.info(
add_extra_to_log_message('Automatic cleanup', extra=extra))
for element in result['elements']:
element.update({
"log_id": log_id,
"%s_id" % (model[1]): element.pop('id')
})
logger.info(
add_extra_to_log_message('Automatic cleanup element',
extra=element))
def deferred_manual_cleanup(model, limit_size=None, limit_days=None, limit_duplicated=None):
logger = logging.getLogger('limitation')
full_result = dict(count=0, size=0, elements=[])
if limit_duplicated:
result = delete_duplicate_crashes(limit=limit_duplicated)
if result.get('count', 0):
full_result['count'] += result['count']
full_result['size'] += result['size']
full_result['elements'] += result['elements']
if limit_days:
result = delete_older_than(*model, limit=limit_days)
if result.get('count', 0):
full_result['count'] += result['count']
full_result['size'] += result['size']
full_result['elements'] += result['elements']
if limit_size:
result = delete_size_is_exceeded(*model, limit=limit_size)
if result.get('count', 0):
full_result['count'] += result['count']
full_result['size'] += result['size']
full_result['elements'] += result['elements']
full_result['size'] /= 1024.0 * 1024
log_id = str(uuid.uuid4())
params = dict(log_id=log_id)
splunk_url = get_splunk_url(params)
splunk_filter = 'log_id=%s' % log_id if splunk_url else None
raven_extra = dict(id=log_id, splunk_url=splunk_url, splunk_filter=splunk_filter)
raven.captureMessage("[Limitation]Manual cleanup freed %d %s, total size of cleaned space is %.2f Mb[%s]" %
(full_result['count'], model[1], full_result['size'], log_id),
data=dict(level=20, logger='limitation'), extra=raven_extra)
extra = dict(log_id=log_id, meta=True, count=full_result['count'], size=full_result['size'], model=model[1],
limit_duplicated=limit_duplicated, limit_size=limit_size, limit_days=limit_days, reason='manual')
logger.info(add_extra_to_log_message('Manual cleanup', extra=extra))
for element in full_result['elements']:
element.update(dict(log_id=log_id))
logger.info(add_extra_to_log_message('Manual cleanup element', extra=element))
def deferred_manual_cleanup(model, limit_size=None, limit_days=None, limit_duplicated=None):
logger = logging.getLogger('limitation')
full_result = dict(count=0, size=0, elements=[])
if limit_duplicated:
result = delete_duplicate_crashes(limit=limit_duplicated)
if result.get('count', 0):
full_result['count'] += result['count']
full_result['size'] += result['size']
full_result['elements'] += result['elements']
if limit_days:
result = delete_older_than(*model, limit=limit_days)
if result.get('count', 0):
full_result['count'] += result['count']
full_result['size'] += result['size']
full_result['elements'] += result['elements']
if limit_size:
result = delete_size_is_exceeded(*model, limit=limit_size)
if result.get('count', 0):
full_result['count'] += result['count']
full_result['size'] += result['size']
full_result['elements'] += result['elements']
log_id = str(uuid.uuid4())
params = dict(log_id=log_id)
splunk_url = get_splunk_url(params)
splunk_filter = 'log_id=%s' % log_id if splunk_url else None
ids_list = sorted([element['id'] for element in full_result['elements']])
raven_extra = {"id": log_id, "splunk_url": splunk_url, "splunk_filter": splunk_filter, "%s_list" % (model[1]): ids_list}
raven.captureMessage("[Limitation]Manual cleanup freed %d %s, total size of cleaned space is %s [%s]" %
(full_result['count'], model[1], filters.filesizeformat(full_result['size']).replace(u'\xa0', u' '), log_id),
data=dict(level=20, logger='limitation'), extra=raven_extra)
extra = dict(log_id=log_id, meta=True, count=full_result['count'], size=filters.filesizeformat(full_result['size']).replace(u'\xa0', u' '), model=model[1],
limit_duplicated=limit_duplicated, limit_size=limit_size, limit_days=limit_days, reason='manual')
logger.info(add_extra_to_log_message('Manual cleanup', extra=extra))
for element in full_result['elements']:
element.update({"log_id": log_id, "%s_id" % (model[1]): element.pop('id')})
logger.info(add_extra_to_log_message('Manual cleanup element', extra=element))
def auto_delete_older_than():
logger = logging.getLogger('limitation')
model_list = [
('crash', 'Crash'),
('feedback', 'Feedback')
]
for model in model_list:
result = delete_older_than(*model)
if result.get('count', 0):
log_id = str(uuid.uuid4())
params = dict(log_id=log_id)
splunk_url = get_splunk_url(params)
splunk_filter = 'log_id=%s' % log_id if splunk_url else None
raven_extra = dict(id=log_id, splunk_url=splunk_url, splunk_filter=splunk_filter)
raven.captureMessage("[Limitation]Periodic task 'Older than' cleaned up %d %s, total size of cleaned space is %s [%d]" %
(result['count'], model[1], filters.filesizeformat(result['size']).replace(u'\xa0', u' '), time.time()),
data=dict(level=20, logger='limitation'), extra=raven_extra)
extra = dict(log_id=log_id, meta=True, count=result['count'], size=filters.filesizeformat(result['size']).replace(u'\xa0', u' '), model=model[1], reason='old')
logger.info(add_extra_to_log_message('Automatic cleanup', extra=extra))
for element in result['elements']:
element.update(dict(log_id=log_id))
logger.info(add_extra_to_log_message('Automatic cleanup element', extra=element))
def auto_delete_size_is_exceeded():
logger = logging.getLogger('limitation')
model_list = [
('crash', 'Crash'),
('feedback', 'Feedback')
]
for model in model_list:
result = delete_size_is_exceeded(*model)
if result.get('count', 0):
log_id = str(uuid.uuid4())
params = dict(log_id=log_id)
splunk_url = get_splunk_url(params)
splunk_filter = 'log_id=%s' % log_id if splunk_url else None
ids_list = sorted([element['id'] for element in result['elements']])
raven_extra = {"id": log_id, "splunk_url": splunk_url, "splunk_filter": splunk_filter, "%s_list" % (model[1]): ids_list}
raven.captureMessage("[Limitation]Periodic task 'Size is exceeded' cleaned up %d %s, total size of cleaned space is %s [%d]" %
(result['count'], model[1], filters.filesizeformat(result['size']).replace(u'\xa0', u' '), time.time()),
data=dict(level=20, logger='limitation'), extra=raven_extra)
extra = dict(log_id=log_id, meta=True, count=result['count'], size=filters.filesizeformat(result['size']).replace(u'\xa0', u' '), model=model[1], reason='size_is_exceeded')
logger.info(add_extra_to_log_message('Automatic cleanup', extra=extra))
for element in result['elements']:
element.update({"log_id": log_id, "%s_id" % (model[1]): element.pop('id')})
logger.info(add_extra_to_log_message('Automatic cleanup element', extra=element))
def test_add_extra_to_log_message(self):
params = dict(a=1, c=3, b=2, d=4)
actual_msg = get_splunk_url(params)
expected_msg = 'http://splunk.example.com/en-US/app/search/search?q=search a=1 b=2 c=3 d=4'
self.assertEqual(actual_msg, expected_msg)
def test_add_extra_to_log_message(self):
params = dict(a=1, c=3, b=2, d=4)
actual_msg = get_splunk_url(params)
expected_msg = 'http://splunk.example.com/en-US/app/search/search?q=search a=1 b=2 c=3 d=4'
self.assertEqual(actual_msg, expected_msg)
