Updated on 2024-11-27 GMT+08:00

Adding Monitoring Data

Function

This API is used to add one or more monitoring data records to a server.

Calling Method

For details, see Calling APIs.

URI

POST /v1/{project_id}/ams/report/metricdata

Table 1 Path Parameters

Parameter

Mandatory

Type

Description

project_id

Yes

String

Project ID obtained from IAM. Generally, a project ID contains 32 characters.

Request Parameters

Table 2 Request header parameters

Parameter

Mandatory

Type

Description

X-Auth-Token

Yes

String

User token obtained from IAM.

Content-Type

Yes

String

Content type, which is application/json.

Table 3 Request body parameters

Parameter

Mandatory

Type

Description

[items]

Yes

Array of MetricDataItem objects

Metric parameters.

Table 4 MetricDataItem

Parameter

Mandatory

Type

Description

collect_time

Yes

Long

Data collection time (UNIX timestamp, in ms), which ranges from the last 24 hours to the next 0.5 hour. The following requirement needs to be met:

Current UTC time – Data collection time ≤ 24 hours, or Data collection time – Current UTC time ≤ 30 minutes

If the data reporting time is earlier than 08:00 of the current day, only the data generated after 08:00 of the current day is displayed on the metric monitoring page.

metric

Yes

MetricItemInfo object

Metric details.

values

Yes

Array of ValueData objects

Metric value.

Table 5 MetricItemInfo

Parameter

Mandatory

Type

Description

dimensions

Yes

Array of Dimension2 objects

List of metric dimensions.

A maximum of 50 dimensions are supported. Each dimension is in JSON format. The structure is as follows:

dimension.name: 1–32 characters.

dimension.value: 1–64 characters.

namespace

Yes

String

Metric namespace. It cannot contain colons (:). It must be in the format of "service.item". The value must contain 3 to 32 characters starting with a letter. Only letters, digits, and underscores (_) are allowed. In addition, "service" cannot be "PAAS".

Table 6 Dimension2

Parameter

Mandatory

Type

Description

name

Yes

String

Dimension name.

value

Yes

String

Dimension value.

Table 7 ValueData

Parameter

Mandatory

Type

Description

metric_name

Yes

String

Metric name. Length: 1 to 255 characters.

type

No

String

Data type. Values: int and float.

unit

No

String

Data unit. Length: up to 32 characters.

value

Yes

Double

Metric value, which must be of a valid numeric type.

Response Parameters

Status code: 200

Table 8 Response body parameters

Parameter

Type

Description

errorCode

String

Response code.

errorMessage

String

Response message.

Example Requests

Add a piece of monitoring data to the server. (In the following example, set "collect_time" to the latest timestamp.)

https://{Endpoint}/v1/{project_id}/ams/report/metricdata

[ {
  "metric" : {
    "namespace" : "NOPAAS.ESC",
    "dimensions" : [ {
      "name" : "instance_id",
      "value" : "instance-101"
    } ]
  },
  "values" : [ {
    "unit" : "percent",
    "metric_name" : "cpu_util",
    "type" : "int",
    "value" : 35
  } ],
  "collect_time" : 1467787152000
} ]

Example Responses

Status code: 200

OK: The request is successful.

{
  "errorCode" : "SVCSTG_AMS_2000000",
  "errorMessage" : "success"
}

SDK Sample Code

The SDK sample code is as follows.

Java

Add a piece of monitoring data to the server. (In the following example, set "collect_time" to the latest timestamp.)

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package com.huaweicloud.sdk.test;

import com.huaweicloud.sdk.core.auth.ICredential;
import com.huaweicloud.sdk.core.auth.BasicCredentials;
import com.huaweicloud.sdk.core.exception.ConnectionException;
import com.huaweicloud.sdk.core.exception.RequestTimeoutException;
import com.huaweicloud.sdk.core.exception.ServiceResponseException;
import com.huaweicloud.sdk.aom.v2.region.AomRegion;
import com.huaweicloud.sdk.aom.v2.*;
import com.huaweicloud.sdk.aom.v2.model.*;

import java.util.List;
import java.util.ArrayList;

public class AddMetricDataSolution {

    public static void main(String[] args) {
        // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
        // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
        String ak = System.getenv("CLOUD_SDK_AK");
        String sk = System.getenv("CLOUD_SDK_SK");
        String projectId = "{project_id}";

        ICredential auth = new BasicCredentials()
                .withProjectId(projectId)
                .withAk(ak)
                .withSk(sk);

        AomClient client = AomClient.newBuilder()
                .withCredential(auth)
                .withRegion(AomRegion.valueOf("<YOUR REGION>"))
                .build();
        AddMetricDataRequest request = new AddMetricDataRequest();
        List<ValueData> listBodyValues = new ArrayList<>();
        listBodyValues.add(
            new ValueData()
                .withMetricName("cpu_util")
                .withType(ValueData.TypeEnum.fromValue("int"))
                .withUnit("percent")
                .withValue((double)35)
        );
        List<Dimension2> listMetricDimensions = new ArrayList<>();
        listMetricDimensions.add(
            new Dimension2()
                .withName("instance_id")
                .withValue("instance-101")
        );
        MetricItemInfo metricBody = new MetricItemInfo();
        metricBody.withDimensions(listMetricDimensions)
            .withNamespace("NOPAAS.ESC");
        List<MetricDataItem> listbodyBody = new ArrayList<>();
        listbodyBody.add(
            new MetricDataItem()
                .withCollectTime(1467787152000L)
                .withMetric(metricBody)
                .withValues(listBodyValues)
        );
        request.withBody(listbodyBody);
        try {
            AddMetricDataResponse response = client.addMetricData(request);
            System.out.println(response.toString());
        } catch (ConnectionException e) {
            e.printStackTrace();
        } catch (RequestTimeoutException e) {
            e.printStackTrace();
        } catch (ServiceResponseException e) {
            e.printStackTrace();
            System.out.println(e.getHttpStatusCode());
            System.out.println(e.getRequestId());
            System.out.println(e.getErrorCode());
            System.out.println(e.getErrorMsg());
        }
    }
}

Python

Add a piece of monitoring data to the server. (In the following example, set "collect_time" to the latest timestamp.)

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# coding: utf-8

import os
from huaweicloudsdkcore.auth.credentials import BasicCredentials
from huaweicloudsdkaom.v2.region.aom_region import AomRegion
from huaweicloudsdkcore.exceptions import exceptions
from huaweicloudsdkaom.v2 import *

if __name__ == "__main__":
    # The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
    # In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
    ak = os.environ["CLOUD_SDK_AK"]
    sk = os.environ["CLOUD_SDK_SK"]
    projectId = "{project_id}"

    credentials = BasicCredentials(ak, sk, projectId)

    client = AomClient.new_builder() \
        .with_credentials(credentials) \
        .with_region(AomRegion.value_of("<YOUR REGION>")) \
        .build()

    try:
        request = AddMetricDataRequest()
        listValuesBody = [
            ValueData(
                metric_name="cpu_util",
                type="int",
                unit="percent",
                value=35
            )
        ]
        listDimensionsMetric = [
            Dimension2(
                name="instance_id",
                value="instance-101"
            )
        ]
        metricBody = MetricItemInfo(
            dimensions=listDimensionsMetric,
            namespace="NOPAAS.ESC"
        )
        listBodybody = [
            MetricDataItem(
                collect_time=1467787152000,
                metric=metricBody,
                values=listValuesBody
            )
        ]
        request.body = listBodybody
        response = client.add_metric_data(request)
        print(response)
    except exceptions.ClientRequestException as e:
        print(e.status_code)
        print(e.request_id)
        print(e.error_code)
        print(e.error_msg)

Go

Add a piece of monitoring data to the server. (In the following example, set "collect_time" to the latest timestamp.)

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package main

import (
	"fmt"
	"github.com/huaweicloud/huaweicloud-sdk-go-v3/core/auth/basic"
    aom "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/aom/v2"
	"github.com/huaweicloud/huaweicloud-sdk-go-v3/services/aom/v2/model"
    region "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/aom/v2/region"
)

func main() {
    // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
    // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
    ak := os.Getenv("CLOUD_SDK_AK")
    sk := os.Getenv("CLOUD_SDK_SK")
    projectId := "{project_id}"

    auth := basic.NewCredentialsBuilder().
        WithAk(ak).
        WithSk(sk).
        WithProjectId(projectId).
        Build()

    client := aom.NewAomClient(
        aom.AomClientBuilder().
            WithRegion(region.ValueOf("<YOUR REGION>")).
            WithCredential(auth).
            Build())

    request := &model.AddMetricDataRequest{}
	typeValues:= model.GetValueDataTypeEnum().INT
	unitValues:= "percent"
	var listValuesBody = []model.ValueData{
        {
            MetricName: "cpu_util",
            Type: &typeValues,
            Unit: &unitValues,
            Value: float64(35),
        },
    }
	var listDimensionsMetric = []model.Dimension2{
        {
            Name: "instance_id",
            Value: "instance-101",
        },
    }
	metricBody := &model.MetricItemInfo{
		Dimensions: listDimensionsMetric,
		Namespace: "NOPAAS.ESC",
	}
	var listBodybody = []model.MetricDataItem{
        {
            CollectTime: int64(1467787152000),
            Metric: metricBody,
            Values: listValuesBody,
        },
    }
	request.Body = &listBodybody
	response, err := client.AddMetricData(request)
	if err == nil {
        fmt.Printf("%+v\n", response)
    } else {
        fmt.Println(err)
    }
}

More

For SDK sample code of more programming languages, see the Sample Code tab in API Explorer. SDK sample code can be automatically generated.

Status Codes

Status Code

Description

200

OK: The request is successful.

400

Bad Request: The request is invalid. The client should not repeat the request without modifications.

401

Unauthorized: The authentication information is incorrect or invalid.

403

Forbidden: The request is rejected. The server has received the request and understood it, but the server refuses to respond to it. The client should not repeat the request without modifications.

500

Internal Server Error: The server is able to receive the request but unable to understand the request.

503

Service Unavailable: The requested service is invalid. The client should not repeat the request without modifications.

Error Codes

See Error Codes.