Add run_metadata filtering to get run_times function
This commit adds a new pair of options to the DB API function get_run_times_grouped_by_run_metadata_key() to optionally filter the results to runs with a particular key value run_metadata pair. This is useful if you want the results grouped by one run_metadata key but limited to runs with particular key value metadata pair. Change-Id: I6d499362eac158873ec982c7b6f2b91a96033a82
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@ -0,0 +1,5 @@
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---
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features:
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- A new set of options, *match_key* and *match_value* to filter the results
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to a key value runs with a particular key value metadata pair was added to
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the DB API function get_run_times_grouped_by_run_metadata_key().
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@ -1207,24 +1207,43 @@ def get_ids_for_all_tests(session=None):
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def get_run_times_grouped_by_run_metadata_key(key, start_date=None,
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stop_date=None, session=None):
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stop_date=None, session=None,
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match_key=None,
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match_value=None):
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"""Return the aggregate run times for all runs grouped by a metadata key
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The results of the output can be limited to runs with a different matching
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key value run_metadata pair using the match_key and match_value parameters.
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:param key: The run_metadata key to use for grouping runs
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:param session: Optional session object if one isn't provided a new session
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will be acquired for the duration of this operation
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:param str match_key: An optional key as part of a key value run_metadata
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pair to filter the runs used to. This can not be the
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same as the key parameter. If match_value is not also
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specified this does nothing
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:param str match_value: An optional value as part of a key value
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run_metadata pair to filter the runs used to. If
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match_key is not also specified this does nothing.
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:return: A dictionary where keys are the value of the provided metadata key
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and the values are a list of run_times for successful runs with
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that metadata value
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:rtype: dict
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"""
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if key == match_key:
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raise ValueError('match_key cannot have the same value as key')
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session = session or get_session()
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run_times_query = db_utils.model_query(models.Run, session).filter(
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models.Run.fails == 0, models.Run.passes > 0).join(
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models.RunMetadata,
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models.Run.id == models.RunMetadata.run_id).filter(
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models.RunMetadata.key == key)
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if match_key and match_value:
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subquery = session.query(models.RunMetadata.run_id).filter(
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models.RunMetadata.key == match_key,
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models.RunMetadata.value == match_value).subquery()
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run_times_query = run_times_query.filter(models.Run.id.in_(subquery))
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run_times_query = _filter_runs_by_date(run_times_query, start_date,
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stop_date)
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@ -447,6 +447,20 @@ class TestDatabaseAPI(base.TestCase):
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expected_res = {'value_a': [2.2], 'value_b': [3.5]}
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self.assertEqual(expected_res, res)
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def test_get_run_times_grouped_by_run_metadata_key_with_match_filter(self):
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run_a = api.create_run(run_time=2.2, passes=2)
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run_b = api.create_run(run_time=3.5, passes=3)
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run_c = api.create_run(run_time=75.432, passes=11)
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api.add_run_metadata({'key': 'value_a'}, run_a.id)
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api.add_run_metadata({'match_key': 'value_c'}, run_a.id)
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api.add_run_metadata({'key': 'value_b'}, run_b.id)
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api.add_run_metadata({'match_key': 'value_c'}, run_b.id)
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api.add_run_metadata({'key': 'value_b'}, run_c.id)
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res = api.get_run_times_grouped_by_run_metadata_key(
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'key', match_key='match_key', match_value='value_c')
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expected_res = {'value_a': [2.2], 'value_b': [3.5]}
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self.assertEqual(expected_res, res)
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def test_get_test_run_dict_by_run_meta_key_value(self):
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timestamp_a = datetime.datetime.utcnow().replace(microsecond=0)
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timestamp_b = timestamp_a + datetime.timedelta(minutes=2)
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