def _results_to_upload_json_trie(self, expectations, results):
FAILURE_TO_TEXT = {
test_expectations.PASS: Upload.Expectations.PASS,
test_expectations.CRASH: Upload.Expectations.CRASH,
test_expectations.TIMEOUT: Upload.Expectations.TIMEOUT,
test_expectations.IMAGE: Upload.Expectations.IMAGE,
test_expectations.TEXT: Upload.Expectations.TEXT,
test_expectations.AUDIO: Upload.Expectations.AUDIO,
test_expectations.MISSING: Upload.Expectations.WARNING,
test_expectations.IMAGE_PLUS_TEXT: ' '.join([Upload.Expectations.IMAGE, Upload.Expectations.TEXT]),
}
results_trie = {}
for result in itervalues(results.results_by_name):
if result.type == test_expectations.SKIP:
continue
expected = expectations.filtered_expectations_for_test(
result.test_name,
self._options.pixel_tests or bool(result.reftest_type),
self._options.world_leaks,
)
if expected == {test_expectations.PASS}:
expected = None
else:
expected = ' '.join([FAILURE_TO_TEXT.get(e, Upload.Expectations.FAIL) for e in expected])
json_results_generator.add_path_to_trie(
result.test_name,
Upload.create_test_result(
expected=expected,
actual=FAILURE_TO_TEXT.get(result.type, Upload.Expectations.FAIL) if result.type else None,
time=int(result.test_run_time * 1000),
), results_trie)
return results_trie
def _stats_trie(self, initial_results):
def _worker_number(worker_name):
return int(worker_name.split('/')[1]) if worker_name else -1
stats = {}
for result in initial_results.results_by_name.values():
if result.type != test_expectations.SKIP:
stats[result.test_name] = {'results': (_worker_number(result.worker_name), result.test_number, result.pid, int(result.test_run_time * 1000), int(result.total_run_time * 1000))}
stats_trie = {}
for name, value in stats.iteritems():
json_results_generator.add_path_to_trie(name, value, stats_trie)
return stats_trie
def _stats_trie(self, initial_results):
def _worker_number(worker_name):
return int(worker_name.split('/')[1]) if worker_name else -1
stats = {}
for result in initial_results.results_by_name.values():
if result.type != test_expectations.SKIP:
stats[result.test_name] = {'results': (_worker_number(result.worker_name), result.test_number, result.pid, int(result.test_run_time * 1000), int(result.total_run_time * 1000))}
stats_trie = {}
for name, value in stats.iteritems():
json_results_generator.add_path_to_trie(name, value, stats_trie)
return stats_trie
