def test_post_talos_artifact(test_project, test_repository, result_set_stored,
mock_post_json):
test_repository.save()
tjc = client.TreeherderJobCollection()
job_guid = 'd22c74d4aa6d2a1dcba96d95dccbd5fdca70cf33'
tj = client.TreeherderJob({
'project': test_repository.name,
'revision_hash': result_set_stored[0]['revision_hash'],
'job': {
'job_guid': job_guid,
'state': 'completed',
'project': test_repository.name,
'option_collection': {'opt': True},
'artifacts': [{
'blob': {'talos_data': SampleData.get_minimal_talos_perf_data()},
'type': 'json',
'name': 'talos_data',
'job_guid': job_guid
}]
}
})
tjc.add(tj)
post_collection(test_project, tjc)
# we'll just validate that we got the expected number of results for
# talos (we have validation elsewhere for the actual data adapters)
assert PerformanceSignature.objects.count() == 1
assert PerformanceDatum.objects.count() == 1
def test_post_talos_artifact(test_project, test_repository, result_set_stored,
mock_post_json):
test_repository.save()
tjc = client.TreeherderJobCollection()
job_guid = 'd22c74d4aa6d2a1dcba96d95dccbd5fdca70cf33'
tj = client.TreeherderJob({
'project':
test_repository.name,
'revision_hash':
result_set_stored[0]['revision_hash'],
'job': {
'job_guid':
job_guid,
'state':
'completed',
'project':
test_repository.name,
'option_collection': {
'opt': True
},
'artifacts': [{
'blob': {
'talos_data': SampleData.get_minimal_talos_perf_data()
},
'type': 'json',
'name': 'talos_data',
'job_guid': job_guid
}]
}
})
tjc.add(tj)
post_collection(test_project, tjc)
# we'll just validate that we got the expected number of results for
# talos (we have validation elsewhere for the actual data adapters)
assert PerformanceSignature.objects.count() == 1
assert PerformanceDatum.objects.count() == 1
def test_post_talos_artifact(test_project, test_repository, result_set_stored,
mock_post_json):
test_repository.save()
# delete any previously-created perf objects until bug 1133273 is fixed
# https://bugzilla.mozilla.org/show_bug.cgi?id=1133273 (this can be really
# slow if the local database has a lot of objects in it)
PerformanceSignature.objects.all().delete()
PerformanceDatum.objects.all().delete()
tjc = client.TreeherderJobCollection()
job_guid = 'd22c74d4aa6d2a1dcba96d95dccbd5fdca70cf33'
tj = client.TreeherderJob({
'project': test_repository.name,
'revision_hash': result_set_stored[0]['revision_hash'],
'job': {
'job_guid': job_guid,
'state': 'completed',
'project': test_repository.name,
'option_collection': {'opt': True},
'artifacts': [{
'blob': {'talos_data': SampleData.get_minimal_talos_perf_data()},
'type': 'json',
'name': 'talos_data',
'job_guid': job_guid
}]
}
})
tjc.add(tj)
do_post_collection(test_project, tjc)
# we'll just validate that we got the expected number of results for
# talos (we have validation elsewhere for the actual data adapters)
assert PerformanceSignature.objects.count() == 2
assert PerformanceDatum.objects.count() == 2
