def patch_project(
project: dict,
name: str,
patch_mode: schemas.PatchMode = fastapi.Header(
schemas.PatchMode.replace, alias=schemas.HeaderNames.patch_mode),
projects_role: typing.Optional[schemas.ProjectsRole] = fastapi.Header(
None, alias=schemas.HeaderNames.projects_role),
# TODO: we're in a http request context here, therefore it doesn't make sense that by default it will hold the
# request until the process will be completed - after UI supports waiting - change default to False
wait_for_completion: bool = fastapi.Query(True,
alias="wait-for-completion"),
iguazio_session: typing.Optional[str] = fastapi.Cookie(
None, alias="session"),
db_session: Session = fastapi.Depends(deps.get_db_session),
):
project, is_running_in_background = get_project_member().patch_project(
db_session,
name,
project,
patch_mode,
projects_role,
iguazio_session,
wait_for_completion=wait_for_completion,
)
if is_running_in_background:
return fastapi.Response(status_code=HTTPStatus.ACCEPTED.value)
return project
def get_frontend_spec(session: typing.Optional[str] = fastapi.Cookie(None)):
jobs_dashboard_url = None
if session:
jobs_dashboard_url = _resolve_jobs_dashboard_url(session)
return mlrun.api.schemas.FrontendSpec(
jobs_dashboard_url=jobs_dashboard_url,
abortable_function_kinds=mlrun.runtimes.RuntimeKinds.
abortable_runtimes(),
)
def get_frontend_spec(
auth_info: mlrun.api.schemas.AuthInfo = fastapi.Depends(
mlrun.api.api.deps.authenticate_request),
# In Iguazio 3.0 auth is turned off, but for this endpoint specifically the session is a must, so getting it from
# the cookie like it was before
# TODO: remove when Iguazio 3.0 is no longer relevant
session: typing.Optional[str] = fastapi.Cookie(None),
):
jobs_dashboard_url = None
session = auth_info.session or session
if session:
jobs_dashboard_url = _resolve_jobs_dashboard_url(session)
feature_flags = _resolve_feature_flags()
registry, repository = mlrun.utils.helpers.get_parsed_docker_registry()
repository = mlrun.utils.helpers.get_docker_repository_or_default(
repository)
function_deployment_target_image_template = mlrun.runtimes.utils.fill_function_image_name_template(
f"{registry}/",
repository,
"{project}",
"{name}",
"{tag}",
)
return mlrun.api.schemas.FrontendSpec(
jobs_dashboard_url=jobs_dashboard_url,
abortable_function_kinds=mlrun.runtimes.RuntimeKinds.
abortable_runtimes(),
feature_flags=feature_flags,
default_function_priority_class_name=config.
default_function_priority_class_name,
valid_function_priority_class_names=config.
get_valid_function_priority_class_names(),
default_function_image_by_kind=mlrun.mlconf.function_defaults.
image_by_kind.to_dict(),
function_deployment_target_image_template=
function_deployment_target_image_template,
function_deployment_mlrun_command=mlrun.builder.
resolve_mlrun_install_command(),
auto_mount_type=config.storage.auto_mount_type,
auto_mount_params=config.get_storage_auto_mount_params(),
)
def get_frontend_spec(session: typing.Optional[str] = fastapi.Cookie(None)):
jobs_dashboard_url = None
if session:
jobs_dashboard_url = _resolve_jobs_dashboard_url(session)
return mlrun.api.schemas.FrontendSpec(
jobs_dashboard_url=jobs_dashboard_url)