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60 lines
1.6 KiB
ReStructuredText
60 lines
1.6 KiB
ReStructuredText
Reference Documentation
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=======================
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This library defines mix-ins that record application metrics. Each mix-in
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implements the same interface:
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.. class:: sprockets.mixins.metrics.Mixin
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.. data:: SETTINGS_KEY
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Key in ``self.application.settings`` that contains this particular
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mix-in's configuration data.
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.. method:: record_timing(duration, *path)
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:noindex:
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:param float duration: number of seconds to record
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:param path: timing path to record
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.. code-block:: python
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self.record_timing(self.request.request_time(), 'request', 'lookup')
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.. method:: increase_counter(*path, amount=1)
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:noindex:
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:param path: counter path to increment
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:keyword int amount: value to increase the counter by
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.. code-block:: python
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self.increase_counter('db', 'query', 'foo')
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.. method:: execution_timer(*path)
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:noindex:
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:param path: timing path to record
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This method returns a context manager that records a timing
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metric to the specified path.
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.. code-block:: python
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with self.execution_timer('db', 'query', 'foo'):
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rows = yield self.session.query('SELECT * FROM foo')
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Statsd Implementation
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---------------------
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.. autoclass:: sprockets.mixins.metrics.statsd.StatsdMixin
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:members:
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Testing Helpers
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---------------
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*So who actually tests that their metrics are emitted as they expect?*
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Usually the answer is *no one*. Why is that? The ``testing`` module
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contains some helper that make testing a little easier.
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.. autoclass:: sprockets.mixins.metrics.testing.FakeStatsdServer
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:members:
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