neutron-lbaas/neutron_lbaas/tests/tempest/lib/common/generator/valid_generator.py

83 lines
2.9 KiB
Python

# Copyright 2014 Deutsche Telekom AG
# All Rights Reserved.
#
# 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.
from oslo_log import log as logging
import neutron_lbaas.tests.tempest.lib.common.generator.base_generator as base
LOG = logging.getLogger(__name__)
class ValidTestGenerator(base.BasicGeneratorSet):
@base.generator_type("string")
@base.simple_generator
def generate_valid_string(self, schema):
size = schema.get("minLength", 1)
# TODO(dkr mko): handle format and pattern
return "x" * size
@base.generator_type("integer")
@base.simple_generator
def generate_valid_integer(self, schema):
# TODO(dkr mko): handle multipleOf
if "minimum" in schema:
minimum = schema["minimum"]
if "exclusiveMinimum" not in schema:
return minimum
else:
return minimum + 1
if "maximum" in schema:
maximum = schema["maximum"]
if "exclusiveMaximum" not in schema:
return maximum
else:
return maximum - 1
return 0
@base.generator_type("object")
@base.simple_generator
def generate_valid_object(self, schema):
obj = {}
for k, v in schema["properties"].iteritems():
obj[k] = self.generate_valid(v)
return obj
def generate(self, schema):
schema_type = schema["type"]
if isinstance(schema_type, list):
if "integer" in schema_type:
schema_type = "integer"
else:
raise Exception("non-integer list types not supported")
result = []
if schema_type not in self.types_dict:
raise TypeError("generator (%s) doesn't support type: %s"
% (self.__class__.__name__, schema_type))
for generator in self.types_dict[schema_type]:
ret = generator(schema)
if ret is not None:
if isinstance(ret, list):
result.extend(ret)
elif isinstance(ret, tuple):
result.append(ret)
else:
raise Exception("generator (%s) returns invalid result: %s"
% (generator, ret))
return result
def generate_valid(self, schema):
return self.generate(schema)[0][1]