f8e64ec982
New API resource /query/samples has been added Implements: blueprint complex-filter-expressions-in-api-queries Change-Id: I5b324f390eb3ed63514260683c1576a0fc0cb7af
134 lines
4.5 KiB
Python
134 lines
4.5 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 datetime
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import decimal
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from ceilometer.openstack.common import timeutils
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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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"""
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for name, value in sorted(d.iteritems()):
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if isinstance(value, dict):
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for subname, subvalue in recursive_keypairs(value):
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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: unicode(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 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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"""
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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(1000000)
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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 data.iteritems())
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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 = value.iteritems()
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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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