yatinkarel
b7c9063a9b
Recent patch from keystone[1] do not work when
osprofiler is enabled as osprofiler does jsonutils.dumps
and datetime.date is not handled so it fails.
This patch adds the handling for it.
[1] https://review.opendev.org/c/openstack/keystone/+/924892
Needed-By: https://review.opendev.org/q/I1b71fb3881dc041db01083fbb4f2592400096a31
Related-Bug: #2074018
Closes-Bug: #2076430
Change-Id: Ifbcf5a1b3d42516bdf73f7ca6b2a7338f3985283
(cherry picked from commit f6e879db55)
276 lines
9.9 KiB
Python
276 lines
9.9 KiB
Python
# Copyright 2010 United States Government as represented by the
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# Administrator of the National Aeronautics and Space Administration.
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# Copyright 2011 Justin Santa Barbara
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# All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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'''
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JSON related utilities.
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This module provides a few things:
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#. A handy function for getting an object down to something that can be
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JSON serialized. See :func:`.to_primitive`.
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#. Wrappers around :func:`.loads` and :func:`.dumps`. The :func:`.dumps`
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wrapper will automatically use :func:`.to_primitive` for you if needed.
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#. This sets up ``anyjson`` to use the :func:`.loads` and :func:`.dumps`
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wrappers if ``anyjson`` is available.
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'''
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import codecs
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import datetime
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import functools
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import inspect
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import io
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import itertools
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import json
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import uuid
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from xmlrpc import client as xmlrpclib
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from oslo_utils import encodeutils
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from oslo_utils import importutils
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from oslo_utils import timeutils
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_ISO8601_DATE_FORMAT = '%Y-%m-%d'
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ipaddress = importutils.try_import("ipaddress")
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netaddr = importutils.try_import("netaddr")
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_nasty_type_tests = [inspect.ismodule, inspect.isclass, inspect.ismethod,
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inspect.isfunction, inspect.isgeneratorfunction,
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inspect.isgenerator, inspect.istraceback, inspect.isframe,
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inspect.iscode, inspect.isbuiltin, inspect.isroutine,
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inspect.isabstract]
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_simple_types = (str, int, type(None), bool, float)
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def to_primitive(value, convert_instances=False, convert_datetime=True,
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level=0, max_depth=3, encoding='utf-8',
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fallback=None):
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"""Convert a complex object into primitives.
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Handy for JSON serialization. We can optionally handle instances,
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but since this is a recursive function, we could have cyclical
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data structures.
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To handle cyclical data structures we could track the actual objects
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visited in a set, but not all objects are hashable. Instead we just
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track the depth of the object inspections and don't go too deep.
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Therefore, ``convert_instances=True`` is lossy ... be aware.
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If the object cannot be converted to primitive, it is returned unchanged
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if fallback is not set, return fallback(value) otherwise.
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.. versionchanged:: 2.22
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Added *fallback* parameter.
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.. versionchanged:: 1.3
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Support UUID encoding.
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.. versionchanged:: 1.6
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Dictionary keys are now also encoded.
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"""
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orig_fallback = fallback
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if fallback is None:
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fallback = str
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# handle obvious types first - order of basic types determined by running
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# full tests on nova project, resulting in the following counts:
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# 572754 <type 'NoneType'>
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# 460353 <type 'int'>
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# 379632 <type 'unicode'>
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# 274610 <type 'str'>
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# 199918 <type 'dict'>
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# 114200 <type 'datetime.datetime'>
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# 51817 <type 'bool'>
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# 26164 <type 'list'>
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# 6491 <type 'float'>
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# 283 <type 'tuple'>
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# 19 <type 'long'>
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if isinstance(value, _simple_types):
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return value
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if isinstance(value, bytes):
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return value.decode(encoding=encoding)
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# It's not clear why xmlrpclib created their own DateTime type, but
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# for our purposes, make it a datetime type which is explicitly
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# handled
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if isinstance(value, xmlrpclib.DateTime):
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value = datetime.datetime(*tuple(value.timetuple())[:6])
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if isinstance(value, datetime.datetime):
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if convert_datetime:
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return value.strftime(timeutils.PERFECT_TIME_FORMAT)
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else:
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return value
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if isinstance(value, datetime.date):
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if convert_datetime:
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return value.strftime(_ISO8601_DATE_FORMAT)
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else:
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return value
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if isinstance(value, uuid.UUID):
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return str(value)
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if netaddr and isinstance(value, (netaddr.IPAddress, netaddr.IPNetwork)):
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return str(value)
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if ipaddress and isinstance(value,
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(ipaddress.IPv4Address,
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ipaddress.IPv6Address)):
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return str(value)
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# For exceptions, return the 'repr' of the exception object
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if isinstance(value, Exception):
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return repr(value)
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# value of itertools.count doesn't get caught by nasty_type_tests
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# and results in infinite loop when list(value) is called.
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if type(value) is itertools.count:
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return fallback(value)
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if any(test(value) for test in _nasty_type_tests):
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return fallback(value)
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if level > max_depth:
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return None
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# The try block may not be necessary after the class check above,
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# but just in case ...
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try:
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recursive = functools.partial(to_primitive,
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convert_instances=convert_instances,
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convert_datetime=convert_datetime,
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level=level,
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max_depth=max_depth,
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encoding=encoding,
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fallback=orig_fallback)
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if isinstance(value, dict):
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return {recursive(k): recursive(v)
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for k, v in value.items()}
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elif hasattr(value, 'iteritems'):
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return recursive(dict(value.iteritems()), level=level + 1)
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# Python 3 does not have iteritems
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elif hasattr(value, 'items'):
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return recursive(dict(value.items()), level=level + 1)
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elif hasattr(value, '__iter__') and not isinstance(value, io.IOBase):
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return list(map(recursive, value))
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elif convert_instances and hasattr(value, '__dict__'):
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# Likely an instance of something. Watch for cycles.
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# Ignore class member vars.
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return recursive(value.__dict__, level=level + 1)
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except TypeError:
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# Class objects are tricky since they may define something like
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# __iter__ defined but it isn't callable as list().
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return fallback(value)
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if orig_fallback is None:
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raise ValueError("Cannot convert %r to primitive" % (value,))
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return orig_fallback(value)
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JSONEncoder = json.JSONEncoder
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JSONDecoder = json.JSONDecoder
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def dumps(obj, default=to_primitive, **kwargs):
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"""Serialize ``obj`` to a JSON formatted ``str``.
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:param obj: object to be serialized
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:param default: function that returns a serializable version of an object,
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:func:`to_primitive` is used by default.
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:param kwargs: extra named parameters, please see documentation \
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of `json.dumps <https://docs.python.org/2/library/json.html#basic-usage>`_
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:returns: json formatted string
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Use dump_as_bytes() to ensure that the result type is ``bytes`` on Python 2
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and Python 3.
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"""
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return json.dumps(obj, default=default, **kwargs)
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def dump_as_bytes(obj, default=to_primitive, encoding='utf-8', **kwargs):
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"""Serialize ``obj`` to a JSON formatted ``bytes``.
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:param obj: object to be serialized
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:param default: function that returns a serializable version of an object,
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:func:`to_primitive` is used by default.
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:param encoding: encoding used to encode the serialized JSON output
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:param kwargs: extra named parameters, please see documentation \
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of `json.dumps <https://docs.python.org/2/library/json.html#basic-usage>`_
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:returns: json formatted string
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.. versionadded:: 1.10
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"""
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return dumps(obj, default=default, **kwargs).encode(encoding)
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def dump(obj, fp, *args, **kwargs):
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"""Serialize ``obj`` as a JSON formatted stream to ``fp``
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:param obj: object to be serialized
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:param fp: a ``.write()``-supporting file-like object
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:param default: function that returns a serializable version of an object,
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:func:`to_primitive` is used by default.
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:param args: extra arguments, please see documentation \
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of `json.dump <https://docs.python.org/2/library/json.html#basic-usage>`_
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:param kwargs: extra named parameters, please see documentation \
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of `json.dump <https://docs.python.org/2/library/json.html#basic-usage>`_
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.. versionchanged:: 1.3
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The *default* parameter now uses :func:`to_primitive` by default.
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"""
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default = kwargs.get('default', to_primitive)
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return json.dump(obj, fp, default=default, *args, **kwargs)
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def loads(s, encoding='utf-8', **kwargs):
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"""Deserialize ``s`` (a ``str`` or ``unicode`` instance containing a JSON
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:param s: string to deserialize
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:param encoding: encoding used to interpret the string
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:param kwargs: extra named parameters, please see documentation \
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of `json.loads <https://docs.python.org/2/library/json.html#basic-usage>`_
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:returns: python object
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"""
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return json.loads(encodeutils.safe_decode(s, encoding), **kwargs)
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def load(fp, encoding='utf-8', **kwargs):
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"""Deserialize ``fp`` to a Python object.
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:param fp: a ``.read()`` -supporting file-like object
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:param encoding: encoding used to interpret the string
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:param kwargs: extra named parameters, please see documentation \
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of `json.loads <https://docs.python.org/2/library/json.html#basic-usage>`_
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:returns: python object
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"""
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return json.load(codecs.getreader(encoding)(fp), **kwargs)
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try:
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import anyjson
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except ImportError:
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pass
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else:
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anyjson._modules.append((__name__, 'dumps', TypeError,
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'loads', ValueError, 'load'))
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anyjson.force_implementation(__name__)
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