Files
python-ceilometerclient/ceilometerclient/v2/options.py
Chris Dent 2a2e2dd273 Refactor split_by_op and split_by_datatype
split_by_op was returning data against which further error checking was
then required. This change moves that error handling inside the method
and simplifies the regular expression so that it splits (greedily) on
the first operator it finds. If the split is not possible, it is
a ValueError. If the field or value are empty, that is a ValueError.

Both split_by_op and split_by_datatype were doing a findall() where
a match() and split() do the right job and more efficiently.

Regular expression compilation has been moved to the module level
to insure they need only be compiled once. Operator keys must be
sorted by length to ensure the point at which the split happens is
most greedy. Using a split keeps the regex short and removes any
statements about the left and right hand sides of the operator.

Tests added to cover the method more completely, including testing
for corner cases such as single character field or values or
operators showing up in unexpected locations. 'string' variable
renamed to 'query' and 'query_value' to avoid confusion. Named parameters
on string substitution for clarity.

Note that the tests which do self.assertRaises could more explicitly
check the exception with self.assertRaisesRegexp but that would
break compatibility with Python 2.6.

Change-Id: Icd815ff65aba9eae3f76afee3bb33e85d85bea72
Closes-Bug: #1314544
2014-06-02 18:21:51 +01:00

130 lines
3.9 KiB
Python

#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import re
from six.moves.urllib import parse
OP_LOOKUP = {'!=': 'ne',
'>=': 'ge',
'<=': 'le',
'>': 'gt',
'<': 'lt',
'=': 'eq'}
OP_LOOKUP_KEYS = '|'.join(sorted(OP_LOOKUP.keys(), key=len, reverse=True))
OP_SPLIT_RE = re.compile(r'(%s)' % OP_LOOKUP_KEYS)
DATA_TYPE_RE = re.compile(r'^(string|integer|float|datetime|boolean)(::)(.+)$')
def build_url(path, q, params=None):
'''This converts from a list of dicts and a list of params to
what the rest api needs, so from:
"[{field=this,op=le,value=34},
{field=that,op=eq,value=foo,type=string}],
['foo=bar','sna=fu']"
to:
"?q.field=this&q.field=that&
q.op=le&q.op=eq&
q.type=&q.type=string&
q.value=34&q.value=foo&
foo=bar&sna=fu"
'''
if q:
query_params = {'q.field': [],
'q.value': [],
'q.op': [],
'q.type': []}
for query in q:
for name in ['field', 'op', 'value', 'type']:
query_params['q.%s' % name].append(query.get(name, ''))
# Transform the dict to a sequence of two-element tuples in fixed
# order, then the encoded string will be consistent in Python 2&3.
new_qparams = sorted(query_params.items(), key=lambda x: x[0])
path += "?" + parse.urlencode(new_qparams, doseq=True)
if params:
for p in params:
path += '&%s' % p
elif params:
path += '?%s' % params[0]
for p in params[1:]:
path += '&%s' % p
return path
def cli_to_array(cli_query):
"""This converts from the cli list of queries to what is required
by the python api.
so from:
"this<=34;that=string::foo"
to
"[{field=this,op=le,value=34,type=''},
{field=that,op=eq,value=foo,type=string}]"
"""
if cli_query is None:
return None
def split_by_op(query):
"""Split a single query string to field, operator, value.
"""
def _value_error(message):
raise ValueError('invalid query %(query)s: missing %(message)s' %
{'query': query, 'message': message})
try:
field, operator, value = OP_SPLIT_RE.split(query, maxsplit=1)
except ValueError:
_value_error('operator')
if not len(field):
_value_error('field')
if not len(value):
_value_error('value')
return (field, operator, value)
def split_by_data_type(query_value):
frags = DATA_TYPE_RE.match(query_value)
# The second match is the separator. Return a list without it if
# a type identifier was found.
return frags.group(1, 3) if frags else None
opts = []
queries = cli_query.split(';')
for q in queries:
query = split_by_op(q)
opt = {}
opt['field'] = query[0]
opt['op'] = OP_LOOKUP[query[1]]
# Allow the data type of the value to be specified via <type>::<value>,
# where type can be one of integer, string, float, datetime, boolean
value_frags = split_by_data_type(query[2])
if not value_frags:
opt['value'] = query[2]
opt['type'] = ''
else:
opt['type'] = value_frags[0]
opt['value'] = value_frags[1]
opts.append(opt)
return opts