create method
- GoogleCloudAiplatformV1Endpoint request,
- String parent, {
- String? endpointId,
- String? $fields,
Creates an Endpoint.
request
- The metadata request object.
Request parameters:
parent
- Required. The resource name of the Location to create the
Endpoint in. Format: projects/{project}/locations/{location}
Value must have pattern ^projects/\[^/\]+/locations/\[^/\]+$
.
endpointId
- Immutable. The ID to use for endpoint, which will become
the final component of the endpoint resource name. If not provided, Vertex
AI will generate a value for this ID. If the first character is a letter,
this value may be up to 63 characters, and valid characters are
[a-z0-9-]
. The last character must be a letter or number. If the first
character is a number, this value may be up to 9 characters, and valid
characters are [0-9]
with no leading zeros. When using HTTP/JSON, this
field is populated based on a query string argument, such as
?endpoint_id=12345
. This is the fallback for fields that are not
included in either the URI or the body.
$fields
- Selector specifying which fields to include in a partial
response.
Completes with a GoogleLongrunningOperation.
Completes with a commons.ApiRequestError if the API endpoint returned an error.
If the used http.Client
completes with an error when making a REST call,
this method will complete with the same error.
Implementation
async.Future<GoogleLongrunningOperation> create(
GoogleCloudAiplatformV1Endpoint request,
core.String parent, {
core.String? endpointId,
core.String? $fields,
}) async {
final body_ = convert.json.encode(request);
final queryParams_ = <core.String, core.List<core.String>>{
if (endpointId != null) 'endpointId': [endpointId],
if ($fields != null) 'fields': [$fields],
};
final url_ = 'v1/' + core.Uri.encodeFull('$parent') + '/endpoints';
final response_ = await _requester.request(
url_,
'POST',
body: body_,
queryParams: queryParams_,
);
return GoogleLongrunningOperation.fromJson(
response_ as core.Map<core.String, core.dynamic>);
}