
This change is needed to make Ceilometer code both Python 2.x and 3.x compatible in some future. Oslo modules are left without changes in this change, that will be done directly in the oslo-incubator code. Partially-Implements: blueprint ceilometer-py33-support Change-Id: Ic7fe5819f85524bb36f04dec6cad10d4cf2b935d
184 lines
6.0 KiB
Python
184 lines
6.0 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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"""Utilities and helper functions."""
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import calendar
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import copy
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import datetime
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import decimal
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import multiprocessing
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import six
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from ceilometer.openstack.common import timeutils
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from ceilometer.openstack.common import units
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def recursive_keypairs(d, separator=':'):
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"""Generator that produces sequence of keypairs for nested dictionaries."""
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for name, value in sorted(six.iteritems(d)):
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if isinstance(value, dict):
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for subname, subvalue in recursive_keypairs(value, separator):
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yield ('%s%s%s' % (name, separator, subname), subvalue)
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elif isinstance(value, (tuple, list)):
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# When doing a pair of JSON encode/decode operations to the tuple,
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# the tuple would become list. So we have to generate the value as
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# list here.
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# in the special case of the list item itself being a dict,
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# create an equivalent dict with a predictable insertion order
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# to avoid inconsistencies in the message signature computation
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# for equivalent payloads modulo ordering
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first = lambda i: i[0]
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m = map(lambda x: six.text_type(dict(sorted(x.items(), key=first))
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if isinstance(x, dict)
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else x).encode('utf-8'),
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value)
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yield name, list(m)
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else:
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yield name, value
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def restore_nesting(d, separator=':'):
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"""Unwinds a flattened dict to restore nesting."""
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d = copy.copy(d) if any([separator in k for k in d.keys()]) else d
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for k, v in d.items():
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if separator in k:
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top, rem = k.split(separator, 1)
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nest = d[top] if isinstance(d.get(top), dict) else {}
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nest[rem] = v
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d[top] = restore_nesting(nest, separator)
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del d[k]
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return d
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def dt_to_decimal(utc):
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"""Datetime to Decimal.
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Some databases don't store microseconds in datetime
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so we always store as Decimal unixtime.
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"""
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if utc is None:
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return None
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decimal.getcontext().prec = 30
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return (decimal.Decimal(str(calendar.timegm(utc.utctimetuple()))) +
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(decimal.Decimal(str(utc.microsecond)) /
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decimal.Decimal("1000000.0")))
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def decimal_to_dt(dec):
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"""Return a datetime from Decimal unixtime format."""
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if dec is None:
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return None
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integer = int(dec)
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micro = (dec - decimal.Decimal(integer)) * decimal.Decimal(units.M)
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daittyme = datetime.datetime.utcfromtimestamp(integer)
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return daittyme.replace(microsecond=int(round(micro)))
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def sanitize_timestamp(timestamp):
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"""Return a naive utc datetime object."""
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if not timestamp:
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return timestamp
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if not isinstance(timestamp, datetime.datetime):
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timestamp = timeutils.parse_isotime(timestamp)
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return timeutils.normalize_time(timestamp)
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def stringify_timestamps(data):
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"""Stringify any datetimes in given dict."""
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isa_timestamp = lambda v: isinstance(v, datetime.datetime)
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return dict((k, v.isoformat() if isa_timestamp(v) else v)
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for (k, v) in six.iteritems(data))
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def dict_to_keyval(value, key_base=None):
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"""Expand a given dict to its corresponding key-value pairs.
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Generated keys are fully qualified, delimited using dot notation.
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ie. key = 'key.child_key.grandchild_key[0]'
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"""
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val_iter, key_func = None, None
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if isinstance(value, dict):
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val_iter = six.iteritems(value)
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key_func = lambda k: key_base + '.' + k if key_base else k
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elif isinstance(value, (tuple, list)):
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val_iter = enumerate(value)
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key_func = lambda k: key_base + '[%d]' % k
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if val_iter:
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for k, v in val_iter:
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key_gen = key_func(k)
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if isinstance(v, dict) or isinstance(v, (tuple, list)):
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for key_gen, v in dict_to_keyval(v, key_gen):
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yield key_gen, v
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else:
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yield key_gen, v
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def lowercase_keys(mapping):
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"""Converts the values of the keys in mapping to lowercase."""
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items = mapping.items()
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for key, value in items:
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del mapping[key]
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mapping[key.lower()] = value
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def lowercase_values(mapping):
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"""Converts the values in the mapping dict to lowercase."""
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items = mapping.items()
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for key, value in items:
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mapping[key] = value.lower()
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def update_nested(original_dict, updates):
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"""Updates the leaf nodes in a nest dict.
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Updates occur without replacing entire sub-dicts.
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"""
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dict_to_update = copy.deepcopy(original_dict)
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for key, value in six.iteritems(updates):
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if isinstance(value, dict):
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sub_dict = update_nested(dict_to_update.get(key, {}), value)
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dict_to_update[key] = sub_dict
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else:
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dict_to_update[key] = updates[key]
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return dict_to_update
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def cpu_count():
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try:
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return multiprocessing.cpu_count() or 1
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except NotImplementedError:
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return 1
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def uniq(dupes, attrs):
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"""Exclude elements of dupes with a duplicated set of attribute values."""
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key = lambda d: '/'.join([getattr(d, a) or '' for a in attrs])
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keys = []
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deduped = []
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for d in dupes:
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if key(d) not in keys:
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deduped.append(d)
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keys.append(key(d))
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return deduped
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