def to_dict(self):
return {'user_id': self.user_id,
'project_id': self.project_id,
'is_admin': self.is_admin,
'read_deleted': self.read_deleted,
'roles': self.roles,
'remote_address': self.remote_address,
'timestamp': timeutils.strtime(self.timestamp),
'request_id': self.request_id,
'auth_token': self.auth_token,
'quota_class': self.quota_class,
'tenant': self.tenant,
'user': self.user}
def to_dict(self):
return {
"user_id": self.user_id,
"project_id": self.project_id,
"is_admin": self.is_admin,
"read_deleted": self.read_deleted,
"roles": self.roles,
"remote_address": self.remote_address,
"timestamp": timeutils.strtime(self.timestamp),
"request_id": self.request_id,
"auth_token": self.auth_token,
"quota_class": self.quota_class,
"tenant": self.tenant,
"user": self.user,
}
def to_dict(self):
return {
'user_id': self.user_id,
'project_id': self.project_id,
'is_admin': self.is_admin,
'read_deleted': self.read_deleted,
'roles': self.roles,
'remote_address': self.remote_address,
'timestamp': timeutils.strtime(self.timestamp),
'request_id': self.request_id,
'auth_token': self.auth_token,
'quota_class': self.quota_class,
'tenant': self.tenant,
'user': self.user
}
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.
"""
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 > 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)
# 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)):
return [recursive(v) for v in value]
elif isinstance(value, dict):
return dict((k, recursive(v)) for k, v in value.iteritems())
elif 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:
return value
except TypeError:
# 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.
"""
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 > 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)
# 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)):
return [recursive(v) for v in value]
elif isinstance(value, dict):
return dict((k, recursive(v)) for k, v in value.iteritems())
elif 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:
return value
except TypeError:
# Class objects are tricky since they may define something like
# __iter__ defined but it isn't callable as list().
return unicode(value)