def _sanitizer(self, obj):
def to_primitive(_type, _value):
return {"_type": _type, "_value": _value}
if isinstance(obj, datetime.datetime):
return to_primitive("datetime", timeutils.strtime(obj))
return super(RPCJSONSerializer, self)._sanitizer(obj)
def _sanitizer(self, obj):
def to_primitive(_type, _value):
return {"_type": _type, "_value": _value}
if isinstance(obj, datetime.datetime):
return to_primitive("datetime", timeutils.strtime(obj))
return super(RPCJSONSerializer, self)._sanitizer(obj)
def tasks_handle(self):
while True:
_task = self.task_queue.get()
if not isinstance(_task, TaskObject):
LOG.error(_('task type valid.'))
continue
LOG.debug(_('Task start to runs, task id is %s' % _task.id))
_task.start_time = timeutils.strtime()
self.unhandle_task_list.append(copy.deepcopy(_task))
eventlet.spawn(_task.execute, self, self.ks_client.auth_token)
def tasks_handle(self):
while True:
_task = self.task_queue.get()
if not isinstance(_task, TaskObject):
LOG.error(_('task type valid.'))
continue
LOG.debug(_('Task start to runs, task id is %s' % _task.id))
_task.start_time = timeutils.strtime()
self.unhandle_task_list.append(copy.deepcopy(_task))
eventlet.spawn(_task.execute, self, self.ks_client.auth_token)
def to_primitive(value, convert_instances=False, level=0):
"""Convert a complex object into primitives.
Handy for JSON serialization. We can optionally handle instances,
but since this is a recursive function, we could have cyclical
data structures.
To handle cyclical data structures we could track the actual objects
visited in a set, but not all objects are hashable. Instead we just
track the depth of the object inspections and don't go too deep.
Therefore, convert_instances=True is lossy ... be aware.
"""
nasty = [inspect.ismodule, inspect.isclass, inspect.ismethod,
inspect.isfunction, inspect.isgeneratorfunction,
inspect.isgenerator, inspect.istraceback, inspect.isframe,
inspect.iscode, inspect.isbuiltin, inspect.isroutine,
inspect.isabstract]
for test in nasty:
if test(value):
return unicode(value)
# value of itertools.count doesn't get caught by inspects
# above and results in infinite loop when list(value) is called.
if type(value) == itertools.count:
return unicode(value)
# FIXME(vish): Workaround for LP bug 852095. Without this workaround,
# tests that raise an exception in a mocked method that
# has a @wrap_exception with a notifier will fail. If
# we up the dependency to 0.5.4 (when it is released) we
# can remove this workaround.
if getattr(value, '__module__', None) == 'mox':
return 'mock'
if level > 3:
return '?'
# The try block may not be necessary after the class check above,
# but just in case ...
try:
# It's not clear why xmlrpclib created their own DateTime type, but
# for our purposes, make it a datetime type which is explicitly
# handled
if isinstance(value, xmlrpclib.DateTime):
value = datetime.datetime(*tuple(value.timetuple())[:6])
if isinstance(value, (list, tuple)):
o = []
for v in value:
o.append(to_primitive(v, convert_instances=convert_instances,
level=level))
return o
elif isinstance(value, dict):
o = {}
for k, v in value.iteritems():
o[k] = to_primitive(v, convert_instances=convert_instances,
level=level)
return o
elif isinstance(value, datetime.datetime):
return timeutils.strtime(value)
elif hasattr(value, 'iteritems'):
return to_primitive(dict(value.iteritems()),
convert_instances=convert_instances,
level=level + 1)
elif hasattr(value, '__iter__'):
return to_primitive(list(value),
convert_instances=convert_instances,
level=level)
elif convert_instances and hasattr(value, '__dict__'):
# Likely an instance of something. Watch for cycles.
# Ignore class member vars.
return to_primitive(value.__dict__,
convert_instances=convert_instances,
level=level + 1)
else:
return value
except TypeError, e:
# Class objects are tricky since they may define something like
# __iter__ defined but it isn't callable as list().
return unicode(value)
def to_primitive(value, convert_instances=False, convert_datetime=True,
level=0, max_depth=3):
"""Convert a complex object into primitives.
Handy for JSON serialization. We can optionally handle instances,
but since this is a recursive function, we could have cyclical
data structures.
To handle cyclical data structures we could track the actual objects
visited in a set, but not all objects are hashable. Instead we just
track the depth of the object inspections and don't go too deep.
Therefore, convert_instances=True is lossy ... be aware.
"""
# handle obvious types first - order of basic types determined by running
# full tests on nova project, resulting in the following counts:
# 572754 <type 'NoneType'>
# 460353 <type 'int'>
# 379632 <type 'unicode'>
# 274610 <type 'str'>
# 199918 <type 'dict'>
# 114200 <type 'datetime.datetime'>
# 51817 <type 'bool'>
# 26164 <type 'list'>
# 6491 <type 'float'>
# 283 <type 'tuple'>
# 19 <type 'long'>
if isinstance(value, _simple_types):
return value
if isinstance(value, datetime.datetime):
if convert_datetime:
return timeutils.strtime(value)
else:
return value
# value of itertools.count doesn't get caught by nasty_type_tests
# and results in infinite loop when list(value) is called.
if type(value) == itertools.count:
return six.text_type(value)
# FIXME(vish): Workaround for LP bug 852095. Without this workaround,
# tests that raise an exception in a mocked method that
# has a @wrap_exception with a notifier will fail. If
# we up the dependency to 0.5.4 (when it is released) we
# can remove this workaround.
if getattr(value, '__module__', None) == 'mox':
return 'mock'
if level > max_depth:
return '?'
# The try block may not be necessary after the class check above,
# but just in case ...
try:
recursive = functools.partial(to_primitive,
convert_instances=convert_instances,
convert_datetime=convert_datetime,
level=level,
max_depth=max_depth)
if isinstance(value, dict):
return dict((k, recursive(v)) for k, v in value.iteritems())
elif isinstance(value, (list, tuple)):
return [recursive(lv) for lv in value]
# It's not clear why xmlrpclib created their own DateTime type, but
# for our purposes, make it a datetime type which is explicitly
# handled
if isinstance(value, xmlrpclib.DateTime):
value = datetime.datetime(*tuple(value.timetuple())[:6])
if convert_datetime and isinstance(value, datetime.datetime):
return timeutils.strtime(value)
elif hasattr(value, 'iteritems'):
return recursive(dict(value.iteritems()), level=level + 1)
elif hasattr(value, '__iter__'):
return recursive(list(value))
elif convert_instances and hasattr(value, '__dict__'):
# Likely an instance of something. Watch for cycles.
# Ignore class member vars.
return recursive(value.__dict__, level=level + 1)
else:
if any(test(value) for test in _nasty_type_tests):
return six.text_type(value)
return value
except TypeError:
# Class objects are tricky since they may define something like
# __iter__ defined but it isn't callable as list().
return six.text_type(value)
def to_primitive(value,
convert_instances=False,
convert_datetime=True,
level=0,
max_depth=3):
"""Convert a complex object into primitives.
Handy for JSON serialization. We can optionally handle instances,
but since this is a recursive function, we could have cyclical
data structures.
To handle cyclical data structures we could track the actual objects
visited in a set, but not all objects are hashable. Instead we just
track the depth of the object inspections and don't go too deep.
Therefore, convert_instances=True is lossy ... be aware.
"""
# handle obvious types first - order of basic types determined by running
# full tests on nova project, resulting in the following counts:
# 572754 <type 'NoneType'>
# 460353 <type 'int'>
# 379632 <type 'unicode'>
# 274610 <type 'str'>
# 199918 <type 'dict'>
# 114200 <type 'datetime.datetime'>
# 51817 <type 'bool'>
# 26164 <type 'list'>
# 6491 <type 'float'>
# 283 <type 'tuple'>
# 19 <type 'long'>
if isinstance(value, _simple_types):
return value
if isinstance(value, datetime.datetime):
if convert_datetime:
return timeutils.strtime(value)
else:
return value
# value of itertools.count doesn't get caught by nasty_type_tests
# and results in infinite loop when list(value) is called.
if type(value) == itertools.count:
return six.text_type(value)
# FIXME(vish): Workaround for LP bug 852095. Without this workaround,
# tests that raise an exception in a mocked method that
# has a @wrap_exception with a notifier will fail. If
# we up the dependency to 0.5.4 (when it is released) we
# can remove this workaround.
if getattr(value, '__module__', None) == 'mox':
return 'mock'
if level > max_depth:
return '?'
# The try block may not be necessary after the class check above,
# but just in case ...
try:
recursive = functools.partial(to_primitive,
convert_instances=convert_instances,
convert_datetime=convert_datetime,
level=level,
max_depth=max_depth)
if isinstance(value, dict):
return dict((k, recursive(v)) for k, v in six.iteritems(value))
elif isinstance(value, (list, tuple)):
return [recursive(lv) for lv in value]
# It's not clear why xmlrpclib created their own DateTime type, but
# for our purposes, make it a datetime type which is explicitly
# handled
if isinstance(value, xmlrpclib.DateTime):
value = datetime.datetime(*tuple(value.timetuple())[:6])
if convert_datetime and isinstance(value, datetime.datetime):
return timeutils.strtime(value)
elif isinstance(value, gettextutils.Message):
return value.data
elif hasattr(value, 'iteritems'):
return recursive(dict(value.iteritems()), level=level + 1)
elif hasattr(value, '__iter__'):
return recursive(list(value))
elif convert_instances and hasattr(value, '__dict__'):
# Likely an instance of something. Watch for cycles.
# Ignore class member vars.
return recursive(value.__dict__, level=level + 1)
elif netaddr and isinstance(value, netaddr.IPAddress):
return six.text_type(value)
else:
if any(test(value) for test in _nasty_type_tests):
return six.text_type(value)
return value
except TypeError:
# Class objects are tricky since they may define something like
# __iter__ defined but it isn't callable as list().
return six.text_type(value)
def to_primitive(value, convert_instances=False, level=0):
"""Convert a complex object into primitives.
Handy for JSON serialization. We can optionally handle instances,
but since this is a recursive function, we could have cyclical
data structures.
To handle cyclical data structures we could track the actual objects
visited in a set, but not all objects are hashable. Instead we just
track the depth of the object inspections and don't go too deep.
Therefore, convert_instances=True is lossy ... be aware.
"""
nasty = [
inspect.ismodule,
inspect.isclass,
inspect.ismethod,
inspect.isfunction,
inspect.isgeneratorfunction,
inspect.isgenerator,
inspect.istraceback,
inspect.isframe,
inspect.iscode,
inspect.isbuiltin,
inspect.isroutine,
inspect.isabstract,
]
for test in nasty:
if test(value):
return unicode(value)
# value of itertools.count doesn't get caught by inspects
# above and results in infinite loop when list(value) is called.
if type(value) == itertools.count:
return unicode(value)
# FIXME(vish): Workaround for LP bug 852095. Without this workaround,
# tests that raise an exception in a mocked method that
# has a @wrap_exception with a notifier will fail. If
# we up the dependency to 0.5.4 (when it is released) we
# can remove this workaround.
if getattr(value, "__module__", None) == "mox":
return "mock"
if level > 3:
return "?"
# The try block may not be necessary after the class check above,
# but just in case ...
try:
# It's not clear why xmlrpclib created their own DateTime type, but
# for our purposes, make it a datetime type which is explicitly
# handled
if isinstance(value, xmlrpclib.DateTime):
value = datetime.datetime(*tuple(value.timetuple())[:6])
if isinstance(value, (list, tuple)):
o = []
for v in value:
o.append(to_primitive(v, convert_instances=convert_instances, level=level))
return o
elif isinstance(value, dict):
o = {}
for k, v in value.iteritems():
o[k] = to_primitive(v, convert_instances=convert_instances, level=level)
return o
elif isinstance(value, datetime.datetime):
return timeutils.strtime(value)
elif hasattr(value, "iteritems"):
return to_primitive(dict(value.iteritems()), convert_instances=convert_instances, level=level + 1)
elif hasattr(value, "__iter__"):
return to_primitive(list(value), convert_instances=convert_instances, level=level)
elif convert_instances and hasattr(value, "__dict__"):
# Likely an instance of something. Watch for cycles.
# Ignore class member vars.
return to_primitive(value.__dict__, convert_instances=convert_instances, level=level + 1)
else:
return value
except TypeError, e:
# Class objects are tricky since they may define something like
# __iter__ defined but it isn't callable as list().
return unicode(value)
def ready(self):
# first time to run
if self.last_run_time is None:
self.last_run_time = timeutils.strtime()
return self.run_immediately
return timeutils.is_older_than(self.last_run_time, self.interval)
def ready(self):
# first time to run
if self.last_run_time is None:
self.last_run_time = timeutils.strtime()
return self.run_immediately
return timeutils.is_older_than(self.last_run_time, self.interval)