def _list_jobs(
api: CustomObjectsApi,
namespace: str,
project: Optional[str] = None,
table_name: Optional[str] = None,
) -> List[JobInfo]:
result = []
# Batch, Streaming Ingestion jobs
if project and table_name:
table_name_hash = _generate_project_table_hash(project, table_name)
response = api.list_namespaced_custom_object(
**_crd_args(namespace),
label_selector=f"{LABEL_FEATURE_TABLE_HASH}={table_name_hash}",
)
elif project:
response = api.list_namespaced_custom_object(
**_crd_args(namespace),
label_selector=f"{LABEL_PROJECT}={project}",
)
else:
# Retrieval jobs
response = api.list_namespaced_custom_object(
**_crd_args(namespace),
label_selector=LABEL_JOBID,
)
for item in response["items"]:
result.append(_resource_to_job_info(item))
return result
def _list_jobs(api: CustomObjectsApi, namespace: str) -> List[JobInfo]:
response = api.list_namespaced_custom_object(
**_crd_args(namespace),
label_selector=LABEL_JOBID,
)
result = []
for item in response["items"]:
result.append(_resource_to_job_info(item))
return result
def _list_jobs(api: CustomObjectsApi,
namespace: str,
table_name: Optional[str] = None) -> List[JobInfo]:
result = []
# Batch, Streaming Ingestion jobs
if table_name:
table_name_hash = hashlib.md5(table_name.encode()).hexdigest()
response = api.list_namespaced_custom_object(
**_crd_args(namespace),
label_selector=f"{LABEL_FEATURE_TABLE_HASH}={table_name_hash}",
)
else:
# Retrieval jobs
response = api.list_namespaced_custom_object(
**_crd_args(namespace),
label_selector=LABEL_JOBID,
)
for item in response["items"]:
result.append(_resource_to_job_info(item))
return result