def make_instance(self, include_optional):
"""Test ApiPipelineSpec
include_option is a boolean, when False only required
params are included, when True both required and
optional params are included """
# model = kfp_server_api.models.api_pipeline_spec.ApiPipelineSpec() # noqa: E501
if include_optional :
return ApiPipelineSpec(
pipeline_id = '0',
pipeline_name = '0',
workflow_manifest = '0',
pipeline_manifest = '0',
parameters = [
kfp_server_api.models.api_parameter.apiParameter(
name = '0',
value = '0', )
],
runtime_config = kfp_server_api.models.pipeline_spec_runtime_config.PipelineSpecRuntimeConfig(
parameters = {
'key' : kfp_server_api.models.api_value.apiValue(
int_value = '0',
double_value = 1.337,
string_value = '0', )
},
pipeline_root = '0', )
)
else :
return ApiPipelineSpec(
)
def make_instance(self, include_optional):
"""Test ApiPipelineSpec
include_option is a boolean, when False only required
params are included, when True both required and
optional params are included """
# model = kfp_server_api.models.api_pipeline_spec.ApiPipelineSpec() # noqa: E501
if include_optional:
return ApiPipelineSpec(
pipeline_id='0',
pipeline_name='0',
workflow_manifest='0',
pipeline_manifest='0',
parameters=[
kfp_server_api.models.api_parameter.apiParameter(
name='0',
value='0',
)
],
runtime_config=kfp_server_api.models.
pipeline_spec_runtime_config.PipelineSpecRuntimeConfig(
parameters={
'key':
kfp_server_api.models.protobuf_value.protobufValue(
null_value='NULL_VALUE',
number_value=1.337,
string_value='0',
bool_value=True,
struct_value=kfp_server_api.models.protobuf_struct.
protobufStruct(fields={
'key':
kfp_server_api.models.protobuf_value.
protobufValue(
number_value=1.337,
string_value='0',
bool_value=True,
list_value=kfp_server_api.models.
protobuf_list_value.protobufListValue(
values=[
kfp_server_api.models.
protobuf_value.protobufValue(
number_value=1.337,
string_value='0',
bool_value=True,
)
], ),
)
}, ),
list_value=kfp_server_api.models.
protobuf_list_value.protobufListValue(),
)
},
pipeline_root='0',
parameter_values={'key': '0'},
))
else:
return ApiPipelineSpec()
def make_instance(self, include_optional):
"""Test ApiPipelineSpec
include_option is a boolean, when False only required
params are included, when True both required and
optional params are included """
# model = kfp_server_api.models.api_pipeline_spec.ApiPipelineSpec() # noqa: E501
if include_optional:
return ApiPipelineSpec(
pipeline_id='0',
pipeline_name='0',
workflow_manifest='0',
pipeline_manifest='0',
parameters=[
kfp_server_api.models.api_parameter.apiParameter(
name='0',
value='0',
)
])
else:
return ApiPipelineSpec()