def test_creation_and_hydration(self):
(ri1, run_id, experiment_id, user_id, status, start_time, end_time, lifecycle_stage,
artifact_uri) = self._create()
self._check(ri1, run_id, experiment_id, user_id, status, start_time, end_time,
lifecycle_stage, artifact_uri)
as_dict = {
"run_uuid": run_id,
"run_id": run_id,
"experiment_id": experiment_id,
"user_id": user_id,
"status": status,
"start_time": start_time,
"end_time": end_time,
"lifecycle_stage": lifecycle_stage,
"artifact_uri": artifact_uri
}
self.assertEqual(dict(ri1), as_dict)
proto = ri1.to_proto()
ri2 = RunInfo.from_proto(proto)
self._check(ri2, run_id, experiment_id, user_id, status, start_time, end_time,
lifecycle_stage, artifact_uri)
ri3 = RunInfo.from_dictionary(as_dict)
self._check(ri3, run_id, experiment_id, user_id, status, start_time, end_time,
lifecycle_stage, artifact_uri)
# Test that we can add a field to RunInfo and still deserialize it from a dictionary
dict_copy_0 = as_dict.copy()
dict_copy_0["my_new_field"] = "new field value"
ri4 = RunInfo.from_dictionary(dict_copy_0)
self._check(ri4, run_id, experiment_id, user_id, status, start_time, end_time,
lifecycle_stage, artifact_uri)
def test_creation_and_hydration(self):
(ri1, run_uuid, experiment_id, name, source_type, source_name,
entry_point_name, user_id, status, start_time, end_time,
source_version, artifact_uri) = self._create()
self._check(ri1, run_uuid, experiment_id, name, source_type,
source_name, entry_point_name, user_id, status, start_time,
end_time, source_version, artifact_uri)
as_dict = {
"run_uuid": run_uuid,
"experiment_id": experiment_id,
"name": name,
"source_type": source_type,
"source_name": source_name,
"entry_point_name": entry_point_name,
"user_id": user_id,
"status": status,
"start_time": start_time,
"end_time": end_time,
"source_version": source_version,
"artifact_uri": artifact_uri,
}
self.assertEqual(dict(ri1), as_dict)
proto = ri1.to_proto()
ri2 = RunInfo.from_proto(proto)
self._check(ri2, run_uuid, experiment_id, name, source_type,
source_name, entry_point_name, user_id, status, start_time,
end_time, source_version, artifact_uri)
ri3 = RunInfo.from_dictionary(as_dict)
self._check(ri3, run_uuid, experiment_id, name, source_type,
source_name, entry_point_name, user_id, status, start_time,
end_time, source_version, artifact_uri)
def _read_persisted_run_info_dict(run_info_dict):
dict_copy = run_info_dict.copy()
if 'lifecycle_stage' not in dict_copy:
dict_copy['lifecycle_stage'] = LifecycleStage.ACTIVE
# 'experiment_id' was changed from int to string, so we must cast to string
# when reading legacy run_infos
if isinstance(dict_copy["experiment_id"], int):
dict_copy["experiment_id"] = str(dict_copy["experiment_id"])
return RunInfo.from_dictionary(dict_copy)
def _read_persisted_run_info_dict(run_info_dict):
dict_copy = run_info_dict.copy()
if 'lifecycle_stage' not in dict_copy:
dict_copy['lifecycle_stage'] = LifecycleStage.ACTIVE
# 'status' is stored as an integer enum in meta file, but RunInfo.status field is a string.
# converting to string before hydrating RunInfo.
# If 'status' value not recorded in files, mark it as 'RUNNING' (default)
dict_copy['status'] = RunStatus.to_string(run_info_dict.get('status', RunStatus.RUNNING))
# 'experiment_id' was changed from int to string, so we must cast to string
# when reading legacy run_infos
if isinstance(dict_copy["experiment_id"], int):
dict_copy["experiment_id"] = str(dict_copy["experiment_id"])
return RunInfo.from_dictionary(dict_copy)
def _read_persisted_run_info_dict(run_info_dict):
dict_copy = run_info_dict.copy()
if 'lifecycle_stage' not in dict_copy:
dict_copy['lifecycle_stage'] = LifecycleStage.ACTIVE
return RunInfo.from_dictionary(dict_copy)
def get_run_info(run_dir):
meta = read_yaml(run_dir, FileStore.META_DATA_FILE_NAME)
return RunInfo.from_dictionary(meta)
