def _nr_stat_accumulate(self, function_name, stat_name, value):
"""
Accumulate arbitrary NR stats (not specific to block types).
"""
newrelic_custom_metrics.accumulate(
self._nr_metric_name(function_name, stat_name),
value
)
def _nr_stat_accumulate(self, function_name, stat_name, value):
"""
Accumulate arbitrary NR stats (not specific to block types).
"""
newrelic_custom_metrics.accumulate(
self._nr_metric_name(function_name, stat_name),
value
)
def _nr_block_stat_accumulate(self, function_name, block_type, stat_name, value):
"""
Accumulate NR stats related to block types.
"""
newrelic_custom_metrics.accumulate(
self._nr_metric_name(function_name, stat_name),
value,
)
newrelic_custom_metrics.accumulate(
self._nr_metric_name(function_name, stat_name, block_type=block_type),
value,
)
def _nr_block_stat_accumulate(self, function_name, block_type, stat_name, value):
"""
Accumulate NR stats related to block types.
"""
newrelic_custom_metrics.accumulate(
self._nr_metric_name(function_name, stat_name),
value,
)
newrelic_custom_metrics.accumulate(
self._nr_metric_name(function_name, stat_name, block_type=block_type),
value,
)
def test_cache_normal_contents(self, mock_newrelic_agent):
"""
Test normal usage of collecting and reporting custom New Relic metrics
"""
newrelic_custom_metrics.accumulate('hello', 10)
newrelic_custom_metrics.accumulate('world', 10)
newrelic_custom_metrics.accumulate('world', 10)
newrelic_custom_metrics.increment('foo')
newrelic_custom_metrics.increment('foo')
# based on the metric data above, we expect the following calls to newrelic:
nr_agent_calls_expected = [
call('hello', 10),
call('world', 20),
call('foo', 2),
]
# fake a response to trigger metrics reporting
newrelic_custom_metrics.middleware.NewRelicCustomMetrics(
).process_response(
'fake request',
'fake response',
)
# Assert call counts to newrelic.agent.add_custom_parameter()
expected_call_count = len(nr_agent_calls_expected)
measured_call_count = mock_newrelic_agent.add_custom_parameter.call_count
self.assertEqual(expected_call_count, measured_call_count)
# Assert call args to newrelic.agent.add_custom_parameter(). Due to
# the nature of python dicts, call order is undefined.
mock_newrelic_agent.add_custom_parameter.has_calls(
nr_agent_calls_expected, any_order=True)
def test_cache_normal_contents(self, mock_newrelic_agent):
"""
Test normal usage of collecting and reporting custom New Relic metrics
"""
newrelic_custom_metrics.accumulate('hello', 10)
newrelic_custom_metrics.accumulate('world', 10)
newrelic_custom_metrics.accumulate('world', 10)
newrelic_custom_metrics.increment('foo')
newrelic_custom_metrics.increment('foo')
# based on the metric data above, we expect the following calls to newrelic:
nr_agent_calls_expected = [
call('hello', 10),
call('world', 20),
call('foo', 2),
]
# fake a response to trigger metrics reporting
newrelic_custom_metrics.middleware.NewRelicCustomMetrics().process_response(
'fake request',
'fake response',
)
# Assert call counts to newrelic.agent.add_custom_parameter()
expected_call_count = len(nr_agent_calls_expected)
measured_call_count = mock_newrelic_agent.add_custom_parameter.call_count
self.assertEqual(expected_call_count, measured_call_count)
# Assert call args to newrelic.agent.add_custom_parameter(). Due to
# the nature of python dicts, call order is undefined.
mock_newrelic_agent.add_custom_parameter.has_calls(nr_agent_calls_expected, any_order=True)
