cabc2ddd5f
Following commits does several things: * migrates CI of monasca-common to ostestr * enables PY35 compatybility Also: * marked one tests as excluded under PY35 because changing it would require affecting embedded kafka library which will be eventually removed in future Change-Id: I432a466e2620bc8d305ef2630307b636461c8e81
386 lines
15 KiB
Python
386 lines
15 KiB
Python
# (C) Copyright 2016-2017 Hewlett Packard Enterprise Development LP
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from oslotest import base
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import six
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from monasca_common.validation import metrics as metric_validator
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# a few valid characters to test
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valid_name_chars = ".'_-"
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invalid_name_chars = " <>={}(),\"\\\\;&"
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# a few valid characters to test
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valid_dimension_chars = " .'_-"
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invalid_dimension_chars = "<>={}(),\"\\\\;&"
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class TestMetricValidation(base.BaseTestCase):
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def test_valid_single_metric(self):
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metric = {"name": "test_metric_name",
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": 5}
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metric_validator.validate(metric)
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def test_valid_metrics(self):
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metrics = [
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{"name": "name1",
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": 1.0},
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{"name": "name2",
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"value_meta": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": 2.0}
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]
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metric_validator.validate(metrics)
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def test_valid_metric_unicode_dimension_value(self):
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metric = {"name": "test_metric_name",
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"timestamp": 1405630174123,
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"dimensions": {six.unichr(2440): 'B', 'B': 'C', 'D': 'E'},
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"value": 5}
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metric_validator.validate(metric)
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def test_valid_metric_unicode_dimension_key(self):
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metric = {"name": 'test_metric_name',
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"dimensions": {'A': 'B', 'B': six.unichr(920), 'D': 'E'},
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"timestamp": 1405630174123,
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"value": 5}
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metric_validator.validate(metric)
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def test_valid_metric_unicode_metric_name(self):
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metric = {"name": six.unichr(6021),
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": 5}
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metric_validator.validate(metric)
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def test_invalid_metric_name(self):
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metric = {'name': "TooLarge" * 255,
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidMetricName,
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"invalid length for metric name",
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metric_validator.validate, metric)
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def test_invalid_metric_name_empty(self):
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metric = {"name": "",
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidMetricName,
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"invalid length for metric name",
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metric_validator.validate, metric)
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def test_invalid_metric_name_non_str(self):
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metric = {"name": 133,
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidMetricName,
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"invalid metric name type",
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metric_validator.validate,
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metric)
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def test_invalid_metric_restricted_characters(self):
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metric = {"name": '"Foo"',
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidMetricName,
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"invalid characters in metric name",
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metric_validator.validate, metric)
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def test_invalid_dimension_empty_key(self):
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metric = {"name": "test_metric_name",
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"dimensions": {'A': 'B', '': 'C', 'D': 'E'},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidDimensionKey,
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"invalid length \(0\) for dimension key",
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metric_validator.validate, metric)
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def test_invalid_dimension_empty_value(self):
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metric = {"name": "test_metric_name",
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"dimensions": {'A': 'B', 'B': 'C', 'D': ''},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidDimensionValue,
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"invalid length \(0\) for dimension value",
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metric_validator.validate, metric)
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def test_invalid_dimension_non_str_key(self):
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metric = {"name": "test_metric_name",
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"dimensions": {'A': 'B', 4: 'C', 'D': 'E'},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidDimensionKey,
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"invalid dimension key type",
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metric_validator.validate, metric)
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def test_invalid_dimension_non_str_value(self):
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metric = {"name": "test_metric_name",
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"dimensions": {'A': 13.3, 'B': 'C', 'D': 'E'},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidDimensionValue,
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"invalid dimension value type",
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metric_validator.validate, metric)
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def test_invalid_dimension_key_length(self):
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metric = {"name": "test_metric_name",
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"dimensions": {'A'*256: 'B', 'B': 'C', 'D': 'E'},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidDimensionKey,
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"invalid length \(256\) for dimension key",
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metric_validator.validate, metric)
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def test_invalid_dimension_value_length(self):
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metric = {"name": "test_metric_name",
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"dimensions": {'A': 'B', 'B': 'C'*256, 'D': 'E'},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidDimensionValue,
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"invalid length \(256\) for dimension value",
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metric_validator.validate, metric)
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def test_invalid_dimension_key_restricted_characters(self):
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metric = {"name": "test_metric_name",
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"dimensions": {'A': 'B', 'B': 'C', '(D)': 'E'},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidDimensionKey,
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"invalid characters in dimension key",
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metric_validator.validate, metric)
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def test_invalid_dimension_value_restricted_characters(self):
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metric = {"name": "test_metric_name",
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"dimensions": {'A': 'B;', 'B': 'C', 'D': 'E'},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidDimensionValue,
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"invalid characters in dimension value",
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metric_validator.validate, metric)
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def test_invalid_dimension_key_leading_underscore(self):
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metric = {"name": "test_metric_name",
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"dimensions": {'_A': 'B', 'B': 'C', 'D': 'E'},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidDimensionKey,
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"invalid characters in dimension key",
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metric_validator.validate, metric)
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def test_invalid_value_type(self):
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metric = {"name": "test_metric_name",
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": "value"}
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self.assertRaisesRegexp(
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metric_validator.InvalidValue,
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"invalid value type",
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metric_validator.validate, metric)
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def test_invalid_value(self):
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metric = {"name": "test_metric_name",
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": None}
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for value in ('nan', 'inf', '-inf'):
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metric['value'] = float(value)
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self.assertRaisesRegexp(
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metric_validator.InvalidValue,
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value,
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metric_validator.validate, metric)
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def test_valid_name_chars(self):
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for c in valid_name_chars:
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metric = {"name": 'test{}counter'.format(c),
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": 5}
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metric_validator.validate(metric)
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def test_invalid_name_chars(self):
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for c in invalid_name_chars:
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metric = {"name": 'test{}counter'.format(c),
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidMetricName,
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"invalid characters in metric name",
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metric_validator.validate, metric)
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def test_valid_dimension_chars(self):
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for c in valid_dimension_chars:
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metric = {"name": "test_name",
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"dimensions":
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{"test{}key".format(c): "test{}value".format(c)},
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"timestamp": 1405630174123,
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"value": 5}
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metric_validator.validate(metric)
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def test_invalid_dimension_key_chars(self):
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for c in invalid_dimension_chars:
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metric = {"name": "test_name",
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"dimensions": {'test{}key'.format(c): 'test-value'},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidDimensionKey,
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"invalid characters in dimension key",
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metric_validator.validate, metric)
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def test_invalid_dimension_value_chars(self):
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for c in invalid_dimension_chars:
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metric = {"name": "test_name",
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"dimensions": {'test-key': 'test{}value'.format(c)},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidDimensionValue,
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"invalid characters in dimension value",
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metric_validator.validate, metric)
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def test_invalid_too_many_value_meta(self):
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value_meta = {}
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for i in six.moves.range(0, 17):
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value_meta['key{}'.format(i)] = 'value{}'.format(i)
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metric = {"name": "test_metric_name",
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"value_meta": value_meta,
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidValueMeta,
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"Too many valueMeta entries",
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metric_validator.validate, metric)
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def test_invalid_empty_value_meta_key(self):
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metric = {"name": "test_metric_name",
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"value_meta": {'': 'BBB'},
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidValueMeta,
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"valueMeta name cannot be empty",
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metric_validator.validate, metric)
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def test_invalid_too_long_value_meta_key(self):
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key = "K"
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for i in six.moves.range(0, metric_validator.VALUE_META_NAME_MAX_LENGTH):
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key = "{}{}".format(key, "1")
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value_meta = {key: 'BBB'}
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metric = {"name": "test_metric_name",
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"value_meta": value_meta,
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidValueMeta,
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"valueMeta name too long",
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metric_validator.validate, metric)
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def test_invalid_too_large_value_meta(self):
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value_meta_value = ""
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num_value_meta = 10
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for i in six.moves.range(0, int(metric_validator.VALUE_META_VALUE_MAX_LENGTH / num_value_meta)):
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value_meta_value = '{}{}'.format(value_meta_value, '1')
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value_meta = {}
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for i in six.moves.range(0, num_value_meta):
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value_meta['key{}'.format(i)] = value_meta_value
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metric = {"name": "test_metric_name",
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"value_meta": value_meta,
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"timestamp": 1405630174123,
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidValueMeta,
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"Unable to serialize valueMeta into JSON",
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metric_validator.validate, metric)
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def test_invalid_timestamp(self):
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metric = {'name': 'test_metric_name',
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"timestamp": "invalid_timestamp",
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"value": 5}
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self.assertRaisesRegexp(
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metric_validator.InvalidTimeStamp,
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"invalid timestamp type",
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metric_validator.validate, metric)
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def test_valid_metrics_by_components(self):
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metrics = [
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{"name": "name1",
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": 1.0},
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{"name": "name2",
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"dimensions": {"key1": "value1",
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"key2": "value2"},
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"value_meta": {"key1": "value1",
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"key2": "value2"},
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"timestamp": 1405630174123,
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"value": 2.0}
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]
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for i in six.moves.range(len(metrics)):
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metric_validator.validate_name(metrics[i]['name'])
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metric_validator.validate_value(metrics[i]['value'])
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metric_validator.validate_timestamp(metrics[i]['timestamp'])
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if 'dimensions' in metrics[i]:
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metric_validator.validate_dimensions(metrics[i]['dimensions'])
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if 'value_meta' in metrics[i]:
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metric_validator.validate_value_meta(metrics[i]['value_meta'])
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