如何使用Python在统一AI平台上编辑端点设置

Question

我已经在统一云AI平台上成功创建了一个端点，并为其部署了两个Model——Model A和Model B，流量分别占20%和80%。现在，在云控制台(UI(上，我可以选择编辑设置，并将流量分配分别更改为30%和70%，然后部署Model。然而，我不知道如何使用Python客户端API来实现这一点。

这里提供的文件不足以理解我们如何做到这一点。任何帮助都将不胜感激。

Answer 1

AI Platform Unified的文档还没有关于如何使用python编辑流量的示例。这是它的代码：

注意：在运行代码之前，不要忘记更新end_point(端点ID(、project(项目ID(、model_id_1和model_id_2的值。

from google.cloud import aiplatform
from google.cloud import aiplatform_v1

def update_endpoint_traffic(
end_point: str, 
project: str, 
location: str = "us-central1",
api_endpoint: str = "us-central1-aiplatform.googleapis.com",
timeout: int = 7200,
):
# The AI Platform services require regional API endpoints.
client_options = {"api_endpoint": api_endpoint}
# Initialize client that will be used to create and send requests.
# This client only needs to be created once, and can be reused for multiple requests.
client = aiplatform.gapic.EndpointServiceClient(client_options=client_options)
client_model = aiplatform_v1.services.model_service.ModelServiceClient(client_options=client_options)
deployed_model_id_list = []
model_id_1 = 'xxxxxxxx' # place your model id here
model_id_2 = 'xxxxxxxx' # place your model id here
model_list = [f'projects/{project}/locations/{location}/models/{model_id_1}',f'projects/{project}/locations/{location}/models/{model_id_2}']
for model in model_list:
model_request = aiplatform_v1.types.GetModelRequest(name=model)
model_info = client_model.get_model(request=model_request)
deployed_models_info = model_info.deployed_models
deployed_model_id=model_info.deployed_models[0].deployed_model_id
deployed_model_id_list.append(deployed_model_id)
traffic_split = {deployed_model_id_list[0]: 60, deployed_model_id_list[1]:40} #update values of 60 and 40 to desired traffic split ex.(30 70)
name=f'projects/{project}/locations/{location}/endpoints/{end_point}'
endpoint = aiplatform_v1.types.Endpoint(name=name,traffic_split=traffic_split)
update_endpoint = aiplatform_v1.types.UpdateEndpointRequest(endpoint=endpoint)
client.update_endpoint(request=update_endpoint)
update_endpoint_traffic(end_point='your-endpoint-id',project='your-project-id')