def run(self):
logger.debug('Starting statistics cleanup')
try:
statsManager().cleanupCounters()
except:
logger.exception('Cleaning up counters')
try:
statsManager().cleanupEvents()
except:
logger.exception('Cleaning up events')
logger.debug('Done statistics cleanup')
def run(self):
logger.debug('Starting statistics cleanup')
try:
statsManager().cleanupCounters()
except:
logger.exception('Cleaning up counters')
try:
statsManager().cleanupEvents()
except:
logger.exception('Cleaning up events')
logger.debug('Done statistics cleanup')
def getEvents(obj, eventType, **kwargs):
"""
Get events
Args:
obj: Obj for which to recover stats counters
counterType: type of counter to recover
since: (optional, defaults to 'Since beginning') Start date for counters to recover
to: (optional, defaults to 'Until end') En date for counter to recover
limit: (optional, defaults to 1000) Number of counter to recover. This is an 'At most' advice. The returned number of value
can be lower, or even 1 more than requested due to a division for retrieving object at database
all: (optinal), indicates that get all counters for the type of obj passed in, not only for that obj.
Returns:
A generator, that contains pairs of (stamp, value) tuples
"""
since = kwargs.get('since', NEVER)
to = kwargs.get('to', datetime.datetime.now())
if kwargs.get('all', False) is True:
owner_id = None
else:
owner_id = obj.pk
for i in statsManager().getEvents(__transDict[type(obj)], eventType, owner_id=owner_id, since=since, to=to):
val = (datetime.datetime.fromtimestamp(i.stamp), i.fld1, i.fld2, i.fld3, i.fld4, i.event_type)
yield val
def getEvents(obj, eventType, **kwargs):
"""
Get events
Args:
obj: Obj for which to recover stats counters
counterType: type of counter to recover
since: (optional, defaults to 'Since beginning') Start date for counters to recover
to: (optional, defaults to 'Until end') En date for counter to recover
limit: (optional, defaults to 1000) Number of counter to recover. This is an 'At most' advice. The returned number of value
can be lower, or even 1 more than requested due to a division for retrieving object at database
all: (optinal), indicates that get all counters for the type of obj passed in, not only for that obj.
Returns:
A generator, that contains pairs of (stamp, value) tuples
"""
since = kwargs.get('since', NEVER)
to = kwargs.get('to', datetime.datetime.now())
if kwargs.get('all', False) is True:
owner_id = None
else:
owner_id = obj.pk
for i in statsManager().getEvents(__transDict[type(obj)],
eventType,
owner_id=owner_id,
since=since,
to=to):
val = (datetime.datetime.fromtimestamp(i.stamp), i.fld1, i.fld2,
i.fld3, i.fld4, i.event_type)
yield val
def addEvent(obj, eventType, **kwargs):
"""
Adds a event stat to specified object
Although any counter type can be added to any object, there is a relation that must be observed
or, otherway, the stats will not be recoverable at all:
note: Runtime checks are done so if we try to insert an unssuported stat, this won't be inserted and it will be logged
"""
return statsManager().addEvent(__transDict[type(obj)], obj.id, eventType, **kwargs)
def addEvent(obj, eventType, **kwargs):
"""
Adds a event stat to specified object
Although any counter type can be added to any object, there is a relation that must be observed
or, otherway, the stats will not be recoverable at all:
note: Runtime checks are done so if we try to insert an unssuported stat, this won't be inserted and it will be logged
"""
return statsManager().addEvent(__transDict[type(obj)], obj.id, eventType,
**kwargs)
def addCounter(obj, counterType, counterValue, stamp=None):
'''
Adds a counter stat to specified object
Although any counter type can be added to any object, there is a relation that must be observed
or, otherway, the stats will not be recoverable at all:
note: Runtime checks are done so if we try to insert an unssuported stat, this won't be inserted and it will be logged
'''
if type(obj) not in __caWrite.get(counterType, ()):
logger.error('Type {0} does not accepts counter of type {1}'.format(type(obj), counterValue))
return False
return statsManager().addCounter(__transDict[type(obj)], obj.id, counterType, counterValue, stamp)
def addCounter(obj: CounterClass, counterType: int, counterValue: int, stamp: typing.Optional[datetime.datetime] = None) -> bool:
"""
Adds a counter stat to specified object
Although any counter type can be added to any object, there is a relation that must be observed
or, otherway, the stats will not be recoverable at all:
note: Runtime checks are done so if we try to insert an unssuported stat, this won't be inserted and it will be logged
"""
type_ = type(obj)
if type_ not in __caWrite.get(counterType, ()): # pylint: disable
logger.error('Type %s does not accepts counter of type %s', type_, counterValue)
return False
return statsManager().addCounter(__transDict[type(obj)], obj.id, counterType, counterValue, stamp)
def getCounters(
obj: CounterClass, counterType: int, **kwargs
) -> typing.Generator[typing.Tuple[datetime.datetime, int], None, None]:
"""
Get counters
Args:
obj: Obj for which to recover stats counters
counterType: type of counter to recover
since: (optional, defaults to 'Since beginning') Start date for counters to recover
to: (optional, defaults to 'Until end') En date for counter to recover
limit: (optional, defaults to 1000) Number of counter to recover. This is an 'At most' advice. The returned number of value
can be lower, or even 1 more than requested due to a division for retrieving object at database
Returns:
A generator, that contains pairs of (stamp, value) tuples
"""
since = kwargs.get('since') or NEVER
to = kwargs.get('to') or datetime.datetime.now()
limit = kwargs.get('limit')
use_max = kwargs.get('use_max', False)
type_ = type(obj)
readFncTbl = __caRead.get(type_)
if not readFncTbl:
logger.error('Type %s has no registered stats', type_)
return
fnc = readFncTbl.get(counterType)
if not fnc:
logger.error('Type %s has no registerd stats of type %s', type_,
counterType)
return
if not kwargs.get('all', False):
owner_ids = fnc(obj)
else:
owner_ids = None
for i in statsManager().getCounters(__transDict[type(obj)], counterType,
owner_ids, since, to,
kwargs.get('interval'),
kwargs.get('max_intervals'), limit,
use_max):
yield (datetime.datetime.fromtimestamp(i.stamp), i.value)
def getCounters(obj: typing.Any, counterType: int, **kwargs):
"""
Get counters
Args:
obj: Obj for which to recover stats counters
counterType: type of counter to recover
since: (optional, defaults to 'Since beginning') Start date for counters to recover
to: (optional, defaults to 'Until end') En date for counter to recover
limit: (optional, defaults to 1000) Number of counter to recover. This is an 'At most' advice. The returned number of value
can be lower, or even 1 more than requested due to a division for retrieving object at database
all: (optinal), indicates that get all counters for the type of obj passed in, not only for that obj.
Returns:
A generator, that contains pairs of (stamp, value) tuples
"""
from uds.models import NEVER
since = kwargs.get('since', NEVER)
to = kwargs.get('to', datetime.datetime.now())
limit = kwargs.get('limit', 1000)
use_max = kwargs.get('use_max', False)
type_ = type(obj)
readFncTbl = __caRead.get(type_)
if not readFncTbl:
logger.error('Type %s has no registered stats', type_)
return
fnc = readFncTbl.get(counterType)
if not fnc:
logger.error('Type %s has no registerd stats of type %s', type_,
counterType)
return
if not kwargs.get('all', False):
owner_ids = fnc(obj)
else:
owner_ids = None
for i in statsManager().getCounters(__transDict[type(obj)], counterType,
owner_ids, since, to, limit, use_max):
val = (datetime.datetime.fromtimestamp(i.stamp), i.value)
yield val
def addCounter(obj, counterType, counterValue, stamp=None):
"""
Adds a counter stat to specified object
Although any counter type can be added to any object, there is a relation that must be observed
or, otherway, the stats will not be recoverable at all:
note: Runtime checks are done so if we try to insert an unssuported stat, this won't be inserted and it will be logged
"""
if type(obj) not in __caWrite.get(counterType, ()):
logger.error('Type {0} does not accepts counter of type {1}'.format(
type(obj), counterValue))
return False
return statsManager().addCounter(__transDict[type(obj)], obj.id,
counterType, counterValue, stamp)
def getCounters(obj, counterType, **kwargs):
'''
Get counters
Args:
obj: Obj for which to recover stats counters
counterType: type of counter to recover
since: (optional, defaults to 'Since beginning') Start date for counters to recover
to: (optional, defaults to 'Until end') En date for counter to recover
limit: (optional, defaults to 1000) Number of counter to recover. This is an 'At most' advice. The returned number of value
can be lower, or even 1 more than requested due to a division for retrieving object at database
all: (optinal), indicates that get all counters for the type of obj passed in, not only for that obj.
Returns:
A generator, that contains pairs of (stamp, value) tuples
'''
since = kwargs.get('since', NEVER)
to = kwargs.get('to', datetime.datetime.now())
limit = kwargs.get('limit', 1000)
use_max = kwargs.get('use_max', False)
readFncTbl = __caRead.get(type(obj), None)
if readFncTbl is None:
logger.error('Type {0} has no registered stats'.format(type(obj)))
return
fnc = readFncTbl.get(counterType, None)
if fnc is None:
logger.error('Type {0} has no registerd stats of type {1}'.format(type(obj), counterType))
return
if kwargs.get('all', None) is not True:
owner_ids = fnc(obj)
else:
owner_ids = None
for i in statsManager().getCounters(__transDict[type(obj)], counterType, owner_ids, since, to, limit, use_max):
val = (datetime.datetime.fromtimestamp(i.stamp), i.value)
yield val
