Help Center/ ModelArts/ API Reference/ Service Management/ Obtaining Service Update Logs

Updated on 2024-06-13 GMT+08:00

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Obtaining Service Update Logs

Function

This API is used to obtain the update logs of a real-time service.

URI

GET /v1/{project_id}/services/{service_id}/logs

**Table 1** Path Parameters
Parameter	Mandatory	Type	Description
project_id	Yes	String	Project ID. For details, see Obtaining a Project ID and Name.
service_id	Yes	String	Service ID

**Table 2** Query Parameters
Parameter	Mandatory	Type	Description
update_time	No	Number	Update time for filtering. This parameter can be used to obtain the update logs of a real-time service. By default, update logs are not filtered.

Request Parameters

**Table 3** Request header parameters
Parameter	Mandatory	Type	Description
X-Auth-Token	Yes	String	User token. It can be obtained by calling the IAM API that is used to obtain a user token. The value of X-Subject-Token in the response header is the user token.

Response Parameters

Status code: 200

**Table 4** Response body parameters
Parameter	Type	Description
service_name	String	Service name
service_id	String	Service ID
logs	Array of Log objects	Service update records

**Table 5** Log
Parameter	Type	Description
update_time	Number	Update time, in milliseconds calculated from 1970.1.1 0:0:0 UTC.
result	String	Update result. Options: SUCCESS FAIL RUNNING
config	Array of config objects	Model running configurations
success_num	Number	Number of nodes that are successfully operated. This parameter is returned when infer_type is set to edge.
failed_num	Number	Number of nodes that fail to be operated. This parameter is returned when infer_type is set to edge.
result_detail	Array of UpdateResult objects	Operation result details. This parameter is returned when infer_type is set to edge.
cluster_id	String	ID of a dedicated resource pool
extend_config	Array of strings	Personalized configuration

**Table 6** config
Parameter	Type	Description
model_id	String	Common parameters Model ID You can obtain the value by calling the API for querying the AI application list.
model_name	String	Model name
model_version	String	Model version
weight	Integer	Weight of traffic allocated to a model. This parameter is mandatory only when infer_type is set to real-time. The sum of all weights must be equal to 100. If multiple model versions are configured with different traffic weights in a real-time service, ModelArts will continuously access the prediction API of the service and forward prediction requests to the model instances of the corresponding versions based on the weights.
specification	String	Resource flavor. This parameter is returned when infer_type is set to real-time.
custom_spec	CustomSpec object	Custom resource specifications
envs	Map<String,String>	Environment variable key-value pair required for running a model
cluster_id	String	ID of a dedicated resource pool
instance_count	Integer	Number of instances where a model is deployed. This parameter is returned when infer_type is set to real-time.

**Table 7** CustomSpec
Parameter	Type	Description
gpu_p4	Float	Number of GPUs, which can be a decimal. The value cannot be smaller than 0, with the third decimal place is rounded off. This parameter is optional and is not used by default.
memory	Integer	Memory in MB, which must be an integer
cpu	Float	Number of CPU cores, which can be a decimal. The value cannot be smaller than 0.01, with the third decimal place is rounded off.
ascend_a310	Integer	Number of Ascend chips. This parameter is optional and is not used by default. Either this parameter or gpu_p4 is configured.

**Table 8** UpdateResult
Parameter	Type	Description
result	Boolean	Operation result. true indicates that the operation is successful, and false indicates that the operation failed.
node_name	String	Name of an edge node
operation	String	Operation. Options: deploy delete
node_id	String	Edge node ID You can obtain the value after creating an edge node on IEF.

Example Requests

GET https://{endpoint}/v1/{project_id}/services/{service_id}/logs

Example Responses

Status code: 200

Service update logs

{
  "service_name" : "mnist",
  "service_id" : "195c1f2d-136d-40af-a0f3-db5717d2634a",
  "logs" : [ {
    "result" : "SUCCESS",
    "update_time" : 1574770228888,
    "config" : [ {
      "model_version" : "0.0.1",
      "specification" : "modelarts.vm.cpu.2u",
      "model_name" : "minst",
      "weight" : 100,
      "model_id" : "0e07b41b-173e-42db-8c16-8e1b44cc0d44",
      "instance_count" : 1
    } ]
  } ]
}