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OpenStack Study: jsonutils.py**** CubicPower OpenStack Study **** 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 # 460353 # 379632 # 274610 # 199918 # 114200 # 51817 # 26164 # 6491 # 283 # 19 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 xmlrpclib and 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)
**** CubicPower OpenStack Study **** def dumps(value, default=to_primitive, **kwargs): return json.dumps(value, default=default, **kwargs)
**** CubicPower OpenStack Study **** def loads(s): return json.loads(s)
**** CubicPower OpenStack Study **** def load(s): return json.load(s) try: import anyjson except ImportError: pass else: anyjson._modules.append((__name__, 'dumps', TypeError, 'loads', ValueError, 'load')) anyjson.force_implementation(__name__)
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