Use monasca-common to validate metrics
Change-Id: I2f52cef518c492cf73ff8310d343363f2863b390
This commit is contained in:
Kaiyan Sheng
parent
530599c705
commit
aaa4440fd3
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@ -1,13 +1,11 @@
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# (C) Copyright 2015-2016 Hewlett Packard Enterprise Development LP
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# (C) Copyright 2015-2017 Hewlett Packard Enterprise Development LP
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""" Aggregation classes used by the collector and statsd to batch messages sent to the forwarder.
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""" Aggregation classes used by the collector and statsd to batch messages sent to the forwarder.
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"""
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"""
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import json
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import json
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import logging
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import logging
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import re
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from time import time
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from time import time
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import monasca_agent.common.metrics as metrics_pkg
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import monasca_common.validation.metrics as metric_validator
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log = logging.getLogger(__name__)
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log = logging.getLogger(__name__)
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@ -18,33 +16,7 @@ log = logging.getLogger(__name__)
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# does not support submitting values for the past, and all values get
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# does not support submitting values for the past, and all values get
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# submitted for the timestamp passed into the flush() function.
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# submitted for the timestamp passed into the flush() function.
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RECENT_POINT_THRESHOLD_DEFAULT = 3600
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RECENT_POINT_THRESHOLD_DEFAULT = 3600
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VALUE_META_MAX_NUMBER = 16
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VALUE_META_VALUE_MAX_LENGTH = 2048
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VALUE_META_VALUE_MAX_LENGTH = 2048
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VALUE_META_NAME_MAX_LENGTH = 255
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invalid_chars = "<>={}(),\"\\\\;&"
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restricted_dimension_chars = re.compile('[' + invalid_chars + ']')
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restricted_name_chars = re.compile('[' + invalid_chars + ' ' + ']')
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class InvalidMetricName(Exception):
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pass
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class InvalidDimensionKey(Exception):
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pass
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class InvalidDimensionValue(Exception):
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pass
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class InvalidValue(Exception):
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pass
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class InvalidValueMeta(Exception):
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pass
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class MetricsAggregator(object):
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class MetricsAggregator(object):
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@ -94,76 +66,19 @@ class MetricsAggregator(object):
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return 0
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return 0
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return round(float(self.count) / interval, 2)
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return round(float(self.count) / interval, 2)
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def _valid_value_meta(self, value_meta, name, dimensions):
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if len(value_meta) > VALUE_META_MAX_NUMBER:
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msg = "Too many valueMeta entries {0}, limit is {1}: {2} -> {3} valueMeta {4}"
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log.error(msg.format(len(value_meta), VALUE_META_MAX_NUMBER, name, dimensions, value_meta))
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return False
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for key, value in value_meta.items():
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if not key:
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log.error("valueMeta name cannot be empty: {0} -> {1}".format(name, dimensions))
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return False
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if len(key) > VALUE_META_NAME_MAX_LENGTH:
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msg = "valueMeta name {0} must be {1} characters or less: {2} -> {3}"
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log.error(msg.format(key, VALUE_META_NAME_MAX_LENGTH, name, dimensions))
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return False
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try:
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if get_value_meta_overage(value_meta):
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msg = "valueMeta name value combinations must be {0} characters or less: {1} -> {2} valueMeta {3}"
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log.error(msg.format(VALUE_META_VALUE_MAX_LENGTH, name, dimensions, value_meta))
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return False
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except Exception:
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log.error("Unable to serialize valueMeta into JSON: {2} -> {3}".format(name, dimensions))
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return False
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return True
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def submit_metric(self, name, value, metric_class, dimensions=None,
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def submit_metric(self, name, value, metric_class, dimensions=None,
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delegated_tenant=None, hostname=None, device_name=None,
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delegated_tenant=None, hostname=None, device_name=None,
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value_meta=None, timestamp=None, sample_rate=1):
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value_meta=None, timestamp=None, sample_rate=1):
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# validate dimensions, name, value and value meta
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if dimensions:
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if dimensions:
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for k, v in dimensions.items():
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metric_validator.validate_dimensions(dimensions)
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if not isinstance(k, (str, unicode)):
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log.error("invalid dimension key {0} must be a string: {1} -> {2}".format(k, name, dimensions))
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raise InvalidDimensionKey
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if len(k) > 255 or len(k) < 1:
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log.error("invalid length for dimension key {0}: {1} -> {2}".format(k, name, dimensions))
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raise InvalidDimensionKey
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if restricted_dimension_chars.search(k) or re.match('^_', k):
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log.error("invalid characters in dimension key {0}: {1} -> {2}".format(k, name, dimensions))
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raise InvalidDimensionKey
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if not isinstance(v, (str, unicode)):
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metric_validator.validate_name(name)
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log.error("invalid dimension value {0} for key {1} must be a string: {2} -> {3}".format(v, k, name,
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dimensions))
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raise InvalidDimensionValue
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if len(v) > 255 or len(v) < 1:
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log.error("invalid length dimension value {0} for key {1}: {2} -> {3}".format(v, k, name,
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dimensions))
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raise InvalidDimensionValue
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if restricted_dimension_chars.search(v):
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log.error("invalid characters in dimension value {0} for key {1}: {2} -> {3}".format(v, k, name,
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dimensions))
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raise InvalidDimensionValue
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if not isinstance(name, (str, unicode)):
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metric_validator.validate_value(value)
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log.error("invalid metric name must be a string: {0} -> {1}".format(name, dimensions))
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raise InvalidMetricName
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if len(name) > 255 or len(name) < 1:
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log.error("invalid length for metric name: {0} -> {1}".format(name, dimensions))
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raise InvalidMetricName
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if restricted_name_chars.search(name):
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log.error("invalid characters in metric name: {0} -> {1}".format(name, dimensions))
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raise InvalidMetricName
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if not isinstance(value, (int, long, float)):
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log.error("invalid value {0} is not of number type for metric {1}".format(value, name))
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raise InvalidValue
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if value_meta:
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if value_meta:
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if not self._valid_value_meta(value_meta, name, dimensions):
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metric_validator.validate_value_meta(value_meta)
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raise InvalidValueMeta
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hostname_to_post = self.get_hostname_to_post(hostname)
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hostname_to_post = self.get_hostname_to_post(hostname)
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@ -27,3 +27,4 @@ futures>=3.0.0;python_version=='2.7' or python_version=='2.6' # BSD
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# https://github.com/eventlet/eventlet/issues/401 is resolved
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# https://github.com/eventlet/eventlet/issues/401 is resolved
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eventlet!=0.18.3,!=0.20.1,<0.21.0,>=0.18.2 # MIT
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eventlet!=0.18.3,!=0.20.1,<0.21.0,>=0.18.2 # MIT
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keystoneauth1>=3.2.0 # Apache-2.0
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keystoneauth1>=3.2.0 # Apache-2.0
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monasca-common>=1.4.0 # Apache-2.0
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@ -1,16 +1,18 @@
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# (C) Copyright 2015-2016 Hewlett Packard Enterprise Development Company LP
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# (C) Copyright 2015-2017 Hewlett Packard Enterprise Development Company LP
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import unittest
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import unittest
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import monasca_agent.common.aggregator as aggregator
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import monasca_agent.common.aggregator as aggregator
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import monasca_agent.common.metrics as metrics_pkg
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import monasca_agent.common.metrics as metrics_pkg
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import monasca_common.validation.metrics as metric_validator
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# a few valid characters to test
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# a few valid characters to test
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valid_name_chars = ".'_-"
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valid_name_chars = ".'_-"
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invalid_name_chars = " <>={}(),\"\\\\;&"
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invalid_name_chars = metric_validator.INVALID_CHARS
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# a few valid characters to test
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# a few valid characters to test
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valid_dimension_chars = " .'_-"
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valid_dimension_chars = " .'_-"
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invalid_dimension_chars = "<>={}(),\"\\\\;&"
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invalid_dimension_chars = metric_validator.INVALID_CHARS
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class TestMetricsAggregator(unittest.TestCase):
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class TestMetricsAggregator(unittest.TestCase):
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@ -80,7 +82,7 @@ class TestMetricsAggregator(unittest.TestCase):
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5,
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5,
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidMetricName)
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exception=metric_validator.InvalidMetricName)
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def testInvalidMetricNameEmpty(self):
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def testInvalidMetricNameEmpty(self):
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dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
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dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
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@ -89,7 +91,7 @@ class TestMetricsAggregator(unittest.TestCase):
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5,
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5,
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidMetricName)
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exception=metric_validator.InvalidMetricName)
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def testInvalidMetricNameNonStr(self):
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def testInvalidMetricNameNonStr(self):
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dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
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dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
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@ -98,7 +100,7 @@ class TestMetricsAggregator(unittest.TestCase):
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5,
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5,
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidMetricName)
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exception=metric_validator.InvalidMetricName)
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def testInvalidMetricRestrictedCharacters(self):
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def testInvalidMetricRestrictedCharacters(self):
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dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
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dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
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@ -107,7 +109,7 @@ class TestMetricsAggregator(unittest.TestCase):
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5,
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5,
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidMetricName)
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exception=metric_validator.InvalidMetricName)
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def testInvalidDimensionEmptyKey(self):
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def testInvalidDimensionEmptyKey(self):
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dimensions = {'A': 'B', '': 'C', 'D': 'E'}
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dimensions = {'A': 'B', '': 'C', 'D': 'E'}
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@ -116,7 +118,7 @@ class TestMetricsAggregator(unittest.TestCase):
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5,
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5,
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidDimensionKey)
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exception=metric_validator.InvalidDimensionKey)
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def testInvalidDimensionEmptyValue(self):
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def testInvalidDimensionEmptyValue(self):
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dimensions = {'A': 'B', 'B': 'C', 'D': ''}
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dimensions = {'A': 'B', 'B': 'C', 'D': ''}
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@ -125,7 +127,7 @@ class TestMetricsAggregator(unittest.TestCase):
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5,
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5,
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidDimensionValue)
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exception=metric_validator.InvalidDimensionValue)
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def testInvalidDimensionNonStrKey(self):
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def testInvalidDimensionNonStrKey(self):
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dimensions = {'A': 'B', 4: 'C', 'D': 'E'}
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dimensions = {'A': 'B', 4: 'C', 'D': 'E'}
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@ -134,7 +136,7 @@ class TestMetricsAggregator(unittest.TestCase):
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5,
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5,
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidDimensionKey)
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exception=metric_validator.InvalidDimensionKey)
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def testInvalidDimensionNonStrValue(self):
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def testInvalidDimensionNonStrValue(self):
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dimensions = {'A': 13.3, 'B': 'C', 'D': 'E'}
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dimensions = {'A': 13.3, 'B': 'C', 'D': 'E'}
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@ -143,7 +145,7 @@ class TestMetricsAggregator(unittest.TestCase):
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5,
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5,
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidDimensionValue)
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exception=metric_validator.InvalidDimensionValue)
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def testInvalidDimensionKeyLength(self):
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def testInvalidDimensionKeyLength(self):
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dimensions = {'A'*256: 'B', 'B': 'C', 'D': 'E'}
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dimensions = {'A'*256: 'B', 'B': 'C', 'D': 'E'}
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@ -153,7 +155,7 @@ class TestMetricsAggregator(unittest.TestCase):
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5,
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5,
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidDimensionKey)
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exception=metric_validator.InvalidDimensionKey)
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def testInvalidDimensionValueLength(self):
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def testInvalidDimensionValueLength(self):
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dimensions = {'A': 'B', 'B': 'C'*256, 'D': 'E'}
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dimensions = {'A': 'B', 'B': 'C'*256, 'D': 'E'}
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@ -162,7 +164,7 @@ class TestMetricsAggregator(unittest.TestCase):
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5,
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5,
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidDimensionValue)
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exception=metric_validator.InvalidDimensionValue)
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def testInvalidDimensionKeyRestrictedCharacters(self):
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def testInvalidDimensionKeyRestrictedCharacters(self):
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dimensions = {'A': 'B', 'B': 'C', '(D)': 'E'}
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dimensions = {'A': 'B', 'B': 'C', '(D)': 'E'}
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@ -171,7 +173,7 @@ class TestMetricsAggregator(unittest.TestCase):
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5,
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5,
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidDimensionKey)
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exception=metric_validator.InvalidDimensionKey)
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def testInvalidDimensionValueRestrictedCharacters(self):
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def testInvalidDimensionValueRestrictedCharacters(self):
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dimensions = {'A': 'B;', 'B': 'C', 'D': 'E'}
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dimensions = {'A': 'B;', 'B': 'C', 'D': 'E'}
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5,
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5,
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidDimensionValue)
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exception=metric_validator.InvalidDimensionValue)
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def testInvalidDimensionKeyLeadingUnderscore(self):
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def testInvalidDimensionKeyLeadingUnderscore(self):
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dimensions = {'_A': 'B', 'B': 'C', 'D': 'E'}
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dimensions = {'_A': 'B', 'B': 'C', 'D': 'E'}
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@ -189,7 +191,7 @@ class TestMetricsAggregator(unittest.TestCase):
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5,
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5,
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidDimensionKey)
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exception=metric_validator.InvalidDimensionKey)
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def testInvalidValue(self):
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def testInvalidValue(self):
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dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
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dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
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@ -198,7 +200,7 @@ class TestMetricsAggregator(unittest.TestCase):
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"value",
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"value",
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dimensions=dimensions,
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dimensions=dimensions,
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value_meta=value_meta,
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value_meta=value_meta,
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exception=aggregator.InvalidValue)
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exception=metric_validator.InvalidValue)
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def testValidNameChars(self):
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def testValidNameChars(self):
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for c in valid_name_chars:
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for c in valid_name_chars:
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@ -209,7 +211,7 @@ class TestMetricsAggregator(unittest.TestCase):
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for c in invalid_name_chars:
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for c in invalid_name_chars:
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self.submit_metric('test{}counter'.format(c), 2,
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self.submit_metric('test{}counter'.format(c), 2,
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dimensions={"test-key": "test-value"},
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dimensions={"test-key": "test-value"},
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exception=aggregator.InvalidMetricName)
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exception=metric_validator.InvalidMetricName)
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def testValidDimensionChars(self):
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def testValidDimensionChars(self):
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for c in valid_dimension_chars:
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for c in valid_dimension_chars:
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@ -220,10 +222,10 @@ class TestMetricsAggregator(unittest.TestCase):
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for c in invalid_dimension_chars:
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for c in invalid_dimension_chars:
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self.submit_metric('test-counter', 2,
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self.submit_metric('test-counter', 2,
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dimensions={'test{}key'.format(c): 'test-value'},
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dimensions={'test{}key'.format(c): 'test-value'},
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exception=aggregator.InvalidDimensionKey)
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exception=metric_validator.InvalidDimensionKey)
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self.submit_metric('test-counter', 2,
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self.submit_metric('test-counter', 2,
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dimensions={'test-key': 'test{}value'.format(c)},
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dimensions={'test-key': 'test{}value'.format(c)},
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exception=aggregator.InvalidDimensionValue)
|
exception=metric_validator.InvalidDimensionValue)
|
||||||
|
|
||||||
def testTooManyValueMeta(self):
|
def testTooManyValueMeta(self):
|
||||||
dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
|
dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
|
||||||
|
|
@ -234,7 +236,7 @@ class TestMetricsAggregator(unittest.TestCase):
|
||||||
2,
|
2,
|
||||||
dimensions=dimensions,
|
dimensions=dimensions,
|
||||||
value_meta=value_meta,
|
value_meta=value_meta,
|
||||||
exception=aggregator.InvalidValueMeta)
|
exception=metric_validator.InvalidValueMeta)
|
||||||
|
|
||||||
def testEmptyValueMetaKey(self):
|
def testEmptyValueMetaKey(self):
|
||||||
dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
|
dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
|
||||||
|
|
@ -243,21 +245,12 @@ class TestMetricsAggregator(unittest.TestCase):
|
||||||
2,
|
2,
|
||||||
dimensions=dimensions,
|
dimensions=dimensions,
|
||||||
value_meta=value_meta,
|
value_meta=value_meta,
|
||||||
exception=aggregator.InvalidValueMeta)
|
exception=metric_validator.InvalidValueMeta)
|
||||||
|
|
||||||
def testEmptyValueMetaKey(self):
|
|
||||||
dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
|
|
||||||
value_meta = {'': 'BBB'}
|
|
||||||
self.submit_metric("Foo",
|
|
||||||
2,
|
|
||||||
dimensions=dimensions,
|
|
||||||
value_meta=value_meta,
|
|
||||||
exception=aggregator.InvalidValueMeta)
|
|
||||||
|
|
||||||
def testTooLongValueMetaKey(self):
|
def testTooLongValueMetaKey(self):
|
||||||
dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
|
dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
|
||||||
key = "K"
|
key = "K"
|
||||||
for i in range(0, aggregator.VALUE_META_NAME_MAX_LENGTH):
|
for i in range(0, metric_validator.VALUE_META_NAME_MAX_LENGTH):
|
||||||
key = "{}{}".format(key, "1")
|
key = "{}{}".format(key, "1")
|
||||||
value_meta = {key: 'BBB'}
|
value_meta = {key: 'BBB'}
|
||||||
print(key)
|
print(key)
|
||||||
|
|
@ -265,22 +258,13 @@ class TestMetricsAggregator(unittest.TestCase):
|
||||||
2,
|
2,
|
||||||
dimensions=dimensions,
|
dimensions=dimensions,
|
||||||
value_meta=value_meta,
|
value_meta=value_meta,
|
||||||
exception=aggregator.InvalidValueMeta)
|
exception=metric_validator.InvalidValueMeta)
|
||||||
|
|
||||||
def testEmptyValueMetaKey(self):
|
|
||||||
dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
|
|
||||||
value_meta = {'': 'BBB'}
|
|
||||||
self.submit_metric("Foo",
|
|
||||||
2,
|
|
||||||
dimensions=dimensions,
|
|
||||||
value_meta=value_meta,
|
|
||||||
exception=aggregator.InvalidValueMeta)
|
|
||||||
|
|
||||||
def testTooLargeValueMeta(self):
|
def testTooLargeValueMeta(self):
|
||||||
dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
|
dimensions = {'A': 'B', 'B': 'C', 'D': 'E'}
|
||||||
value_meta_value = ""
|
value_meta_value = ""
|
||||||
num_value_meta = 10
|
num_value_meta = 10
|
||||||
for i in range(0, aggregator.VALUE_META_VALUE_MAX_LENGTH/num_value_meta):
|
for i in range(0, metric_validator.VALUE_META_VALUE_MAX_LENGTH/num_value_meta):
|
||||||
value_meta_value = '{}{}'.format(value_meta_value, '1')
|
value_meta_value = '{}{}'.format(value_meta_value, '1')
|
||||||
|
|
||||||
value_meta = {}
|
value_meta = {}
|
||||||
|
|
@ -290,4 +274,4 @@ class TestMetricsAggregator(unittest.TestCase):
|
||||||
2,
|
2,
|
||||||
dimensions=dimensions,
|
dimensions=dimensions,
|
||||||
value_meta=value_meta,
|
value_meta=value_meta,
|
||||||
exception=aggregator.InvalidValueMeta)
|
exception=metric_validator.InvalidValueMeta)
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue