def test_filtering_of_tests(self, sample_performance_results):
tests = ['Aggregation.CountsFullCollection']
performance_data = PerformanceData(sample_performance_results, None)
all_runs = performance_data.test_batch.test_runs
selected_runs = performance_data.test_batch.test_runs_matching(tests)
assert all(item.test_name in tests for item in selected_runs)
assert not all(item.test_name in tests for item in all_runs)
def test_sorting(self, sample_performance_results):
duplicate = copy(sample_performance_results)
data = list(sample_performance_results['data']['results'][0]['results'].items())
random.shuffle(data)
duplicate['data']['results'][0]['results'] = {key: val for key, val in data}
performance_data = PerformanceData(duplicate, None)
results = performance_data.test_batch.test_runs[0].test_results
thread_levels = [item.thread_level for item in results if item.thread_level != 'max']
assert thread_levels == sorted(thread_levels)
def performance_results_by_task(self, task_id: str) -> PerformanceData:
"""
Get the 'perf.json' performance results for a given task_id.
:param task_id: Id of task to query for.
:return: Contents of 'perf.json'
"""
url = self._create_plugin_url("/task/{task_id}/perf".format(task_id=task_id))
return PerformanceData(self._paginate(url), self) # type: ignore[arg-type]
def performance_results_by_task(self, task_id):
"""
Get the 'perf.json' performance results for a given task_id
:param task_id: Id of task to query for.
:return: Contents of 'perf.json'
"""
url = self._create_plugin_url(
'/task/{task_id}/perf'.format(task_id=task_id))
return PerformanceData(self._paginate(url), self)
def performance_results_by_task_name(self, task_id, task_name):
"""
Get the 'perf.json' performance results for a given task_id and task_name
:param task_id: Id of task to query for.
:param task_name: Name of task to query for.
:return: Contents of 'perf.json'
"""
url = '{api_server}/api/2/task/{task_id}/json/history/{task_name}/perf'.format(
api_server=self._api_server, task_id=task_id, task_name=task_name)
return [
PerformanceData(result, self) for result in self._paginate(url)
]
def performance_results_by_task_name(
self, task_id: str, task_name: str) -> List[PerformanceData]:
"""
Get the 'perf.json' performance results for a given task_id and task_name.
:param task_id: Id of task to query for.
:param task_name: Name of task to query for.
:return: Contents of 'perf.json'
"""
url = f"{self._api_server}/api/2/task/{task_id}/json/history/{task_name}/perf"
return [
PerformanceData(result, self) for result in self._paginate(url)
] # type: ignore[arg-type]
def test_deserialization(self, sample_performance_results):
performance_data = PerformanceData(sample_performance_results, None)
assert performance_data.name == sample_performance_results['name']
assert performance_data.task_name == sample_performance_results['task_name']
assert performance_data.project_id == sample_performance_results['project_id']
assert performance_data.task_id == sample_performance_results['task_id']
assert performance_data.build_id == sample_performance_results['build_id']
assert performance_data.variant == sample_performance_results['variant']
assert performance_data.version_id == sample_performance_results['version_id']
assert performance_data.create_time == parse_evergreen_short_datetime(
sample_performance_results['create_time'])
assert performance_data.is_patch == sample_performance_results['is_patch']
assert performance_data.order == sample_performance_results['order']
assert performance_data.revision == sample_performance_results['revision']
assert performance_data.tag == sample_performance_results['tag']
test_batch = performance_data.test_batch
test_batch_json = sample_performance_results['data']
assert test_batch.start == parse_evergreen_datetime(test_batch_json['start'])
assert test_batch.end == parse_evergreen_datetime(test_batch_json['end'])
assert test_batch.errors == test_batch_json['errors']
assert test_batch.storage_engine == test_batch_json['storageEngine']
test_run = test_batch.test_runs[0]
test_run_json = test_batch_json['results'][0]
assert test_run.start == parse_evergreen_datetime(
test_run_json['start'] if 'start' in test_run_json else test_run_json['results'][
'start'])
assert test_run.end == parse_evergreen_datetime(
test_run_json['end'] if 'end' in test_run_json else test_run_json['results'][
'end'])
assert test_run.name == test_run_json['name']
assert test_run.workload == test_run_json[
'workload'] if 'workload' in test_run_json else 'microbenchmarks'
assert test_run.results == test_run_json['results']
test_result = test_run.test_results[0]
test_result_json = test_run_json['results']['1']
assert test_result.measurement == 'ops_per_sec'
assert test_result.mean_value == test_result_json['ops_per_sec']
assert test_result.recorded_values == test_result_json['ops_per_sec_values']
assert test_result.thread_level == '1'
def test_deserialization(self, sample_performance_results):
performance_data = PerformanceData(sample_performance_results, None)
assert performance_data.name == sample_performance_results["name"]
assert performance_data.task_name == sample_performance_results["task_name"]
assert performance_data.project_id == sample_performance_results["project_id"]
assert performance_data.task_id == sample_performance_results["task_id"]
assert performance_data.build_id == sample_performance_results["build_id"]
assert performance_data.variant == sample_performance_results["variant"]
assert performance_data.version_id == sample_performance_results["version_id"]
assert performance_data.create_time == parse_evergreen_short_datetime(
sample_performance_results["create_time"]
)
assert performance_data.is_patch == sample_performance_results["is_patch"]
assert performance_data.order == sample_performance_results["order"]
assert performance_data.revision == sample_performance_results["revision"]
assert performance_data.tag == sample_performance_results["tag"]
test_batch = performance_data.test_batch
test_batch_json = sample_performance_results["data"]
assert test_batch.start == test_batch_json["start"]
assert test_batch.end == test_batch_json["end"]
assert test_batch.errors == test_batch_json["errors"]
assert test_batch.storage_engine == test_batch_json["storageEngine"]
test_run = test_batch.test_runs[0]
test_run_json = test_batch_json["results"][0]
assert test_run.start == test_run_json.get("start", test_run_json["results"]["start"])
assert test_run.end == test_run_json.get("end", test_run_json["results"]["end"])
assert test_run.name == test_run_json["name"]
assert (
test_run.workload == test_run_json["workload"]
if "workload" in test_run_json
else "microbenchmarks"
)
assert test_run.results == test_run_json["results"]
test_result = test_run.test_results[0]
test_result_json = test_run_json["results"]["1"]
assert test_result.measurement == "ops_per_sec"
assert test_result.mean_value == test_result_json["ops_per_sec"]
assert test_result.recorded_values == test_result_json["ops_per_sec_values"]
assert test_result.thread_level == "1"
def test_adds_max_thread_level(self, sample_performance_results):
performance_data = PerformanceData(sample_performance_results, None)
results = performance_data.test_batch.test_runs[0].test_results
results.reverse()
assert results[0].thread_level == 'max'
