TaobaoClient client = new DefaultTaobaoClient(url, appkey, secret);
AlibabaDtdataopsTaskidDiagnosticCreateRequest req = new AlibabaDtdataopsTaskidDiagnosticCreateRequest();
req.setParam0(80565821855L);
req.setParam1("074637");
req.setParam2("xxx");
AlibabaDtdataopsTaskidDiagnosticCreateResponse rsp = client.execute(req);
System.out.println(rsp.getBody());

ITopClient client = new DefaultTopClient(url, appkey, secret);
AlibabaDtdataopsTaskidDiagnosticCreateRequest req = new AlibabaDtdataopsTaskidDiagnosticCreateRequest();
req.Param0 = 80565821855L;
req.Param1 = "074637";
req.Param2 = "xxx";
AlibabaDtdataopsTaskidDiagnosticCreateResponse rsp = client.Execute(req);
Console.WriteLine(rsp.Body);

$c = new TopClient;
$c->appkey = $appkey;
$c->secretKey = $secret;
$req = new AlibabaDtdataopsTaskidDiagnosticCreateRequest;
$req->setParam0("80565821855");
$req->setParam1("074637");
$req->setParam2("xxx");
$resp = $c->execute($req);

curl -X POST 'http://gw.api.taobao.com/router/rest' \
-H 'Content-Type:application/x-www-form-urlencoded;charset=utf-8' \
-d 'app_key=12129701' \
-d 'format=json' \
-d 'method=alibaba.dtdataops.taskid.diagnostic.create' \
-d 'partner_id=apidoc' \
-d 'sign=44FC43D9D9B2D7701D2BB7C594DF4CC0' \
-d 'sign_method=hmac' \
-d 'timestamp=2025-05-21+17%3A06%3A15' \
-d 'v=2.0' \
-d 'param0=80565821855' \
-d 'param1=074637' \
-d 'param2=xxx'

# -*- coding: utf-8 -*-
import top.api

req=top.api.AlibabaDtdataopsTaskidDiagnosticCreateRequest(url,port)
req.set_app_info(top.appinfo(appkey,secret))

req.param0=80565821855
req.param1="074637"
req.param2="xxx"
try:
	resp= req.getResponse()
	print(resp)
except Exception,e:
	print(e)

pTopRequest pRequest = alloc_top_request();
pTopResponse pResponse = NULL;
pTaobaoClient pClient = alloc_taobao_client(url, appkey, appsecret);
set_api_name(pRequest,"alibaba.dtdataops.taskid.diagnostic.create");
add_param(pRequest,"param0","80565821855");
add_param(pRequest,"param1","074637");
add_param(pRequest,"param2","xxx");
pResponse = top_execute(pClient,pRequest,NULL);
printf("ret code:%d\n",pResponse->code);
if(pResponse->code == 0){
	pTopResponseIterator ite = init_response_iterator(pResponse);
	pResultItem pResultItem = alloc_result_item();
	while(parseNext(ite, pResultItem) == 0){
		printf("%s:%s\n",pResultItem->key,pResultItem->value);
	}
	destroy_response_iterator(ite);
	destroy_result_item(pResultItem);
}
destroy_top_request(pRequest);
destroy_top_response(pResponse);
destroy_taobao_client(pClient);

TopClient = require('./topClient').TopClient;
var client = new TopClient({
	'appkey': 'appkey',
	'appsecret': 'secret',
	'REST_URL': 'http://gw.api.taobao.com/router/rest'
});

client.execute('alibaba.dtdataops.taskid.diagnostic.create', {
	'param0':'80565821855',
	'param1':'074637',
	'param2':'xxx'
}, function(error, response) {
	if (!error) console.log(response);
	else console.log(error);
})

<alibaba_dtdataops_taskid_diagnostic_create_response>
    <trace_id>21048d5a17423906420772844d2c2b</trace_id>
    <data>
        <is_error>false</is_error>
        <performance_risk_list>
            <performance_risk_list>
                <influence_duration>315</influence_duration>
                <is_rerun>false</is_rerun>
                <suggestion>偶发问题建议保持观察，持续出现，建议联系值班同学确认rerun原因:ODPS-0010000:System internal error - kTimeout: Connection to worker machine bd-odps011014145170.na63 lost, the machine may be problematic or have restarted.，进行优化。 [联系值班](dingtalk://dingtalkclient/page/link?url=https://links.alipay.com/app/room/60010d58695654059768264e/&amp;pc_slide=true)</suggestion>
                <name>Rerun导致instance耗时过长</name>
                <is_auto>false</is_auto>
                <rerun_task_id>80534937282</rerun_task_id>
                <object_id>20250318155913918g2he5nh0pam6</object_id>
                <object_type>LOGVIEW</object_type>
                <desc>Odps/data_stability_20250318155913918g2he5nh0pam6_SQL_0_0_0_job_0/M2#2636_0阶段因rerun多耗时: 315秒</desc>
            </performance_risk_list>
        </performance_risk_list>
        <id>776951</id>
        <node_risk_list>
            <node_risk_list>
                <is_rerun>false</is_rerun>
                <suggestion>代码中删除参数: set odps.sql.mapper.memory=4096 或调整为稍大于实际使用内存的648数值</suggestion>
                <name>用户设置的参数过大导致资源浪费</name>
                <is_auto>true</is_auto>
                <object_id>78798791434.0</object_id>
                <object_type>TASK</object_type>
                <desc>1个Mapper节点使用最多的内存:648.0小于申请的内存:4096.0,导致因申请内存过大而变慢,请剔除或修改参数!</desc>
            </node_risk_list>
        </node_risk_list>
        <url>https://pre-tuzhi.alibaba-inc.com/data-daemon/govern/diagnosticTool/taskDiagnosis/detail?taskId=776951</url>
        <error_risk_list>
            <error_risk_list>
                <influence_duration>0</influence_duration>
                <is_rerun>false</is_rerun>
                <suggestion>原因：在odps作业的运行过程当中，任务的某个worker实际使用的资源超过了申请资源导致被kill。 建议如下： 1. 可[参考文档](https://aliyuque.antfin.com/wufang.wq/vp0u4m/qnv85fmxdhcc384p?singleDoc# )定位OOM的worker及解决办法。</suggestion>
                <name>运行出错</name>
                <is_auto>false</is_auto>
                <rerun_task_id>79578257865</rerun_task_id>
                <object_id>20250216195027297gaz80w4vjo7</object_id>
                <object_type>LOGVIEW</object_type>
                <desc>出现模块：common模块的错误,错误码:ODPS-0010000, 部分错误信息：System internal error - fuxi job failed, caused by: kWorkerOutOfMemory(errCode:256) at Odps/sec_aeapp_20250216195027297gaz80w4vjo7_SQL_0_1_0_job_0/R6_5@bd-odps033056071142.sg113#205. Detail error msg: KILL_NAKILL_NA: plan</desc>
            </error_risk_list>
        </error_risk_list>
        <status>SUCCESS</status>
    </data>
</alibaba_dtdataops_taskid_diagnostic_create_response>

{
    "alibaba_dtdataops_taskid_diagnostic_create_response":{
        "trace_id":"21048d5a17423906420772844d2c2b",
        "data":{
            "is_error":false,
            "performance_risk_list":{
                "performance_risk_list":[
                    {
                        "influence_duration":315,
                        "is_rerun":false,
                        "suggestion":"偶发问题建议保持观察，持续出现，建议联系值班同学确认rerun原因:ODPS-0010000:System internal error - kTimeout: Connection to worker machine bd-odps011014145170.na63 lost, the machine may be problematic or have restarted.，进行优化。 [联系值班](dingtalk:\/\/dingtalkclient\/page\/link?url=https:\/\/links.alipay.com\/app\/room\/60010d58695654059768264e\/&pc_slide=true)",
                        "name":"Rerun导致instance耗时过长",
                        "is_auto":false,
                        "rerun_task_id":80534937282,
                        "object_id":"20250318155913918g2he5nh0pam6",
                        "object_type":"LOGVIEW",
                        "desc":"Odps\/data_stability_20250318155913918g2he5nh0pam6_SQL_0_0_0_job_0\/M2#2636_0阶段因rerun多耗时: 315秒"
                    }
                ]
            },
            "id":776951,
            "node_risk_list":{
                "node_risk_list":[
                    {
                        "is_rerun":false,
                        "suggestion":"代码中删除参数: set odps.sql.mapper.memory=4096 或调整为稍大于实际使用内存的648数值",
                        "name":"用户设置的参数过大导致资源浪费",
                        "is_auto":true,
                        "object_id":"78798791434.0",
                        "object_type":"TASK",
                        "desc":"1个Mapper节点使用最多的内存:648.0小于申请的内存:4096.0,导致因申请内存过大而变慢,请剔除或修改参数!"
                    }
                ]
            },
            "url":"https:\/\/pre-tuzhi.alibaba-inc.com\/data-daemon\/govern\/diagnosticTool\/taskDiagnosis\/detail?taskId=776951",
            "error_risk_list":{
                "error_risk_list":[
                    {
                        "influence_duration":0,
                        "is_rerun":false,
                        "suggestion":"原因：在odps作业的运行过程当中，任务的某个worker实际使用的资源超过了申请资源导致被kill。 建议如下： 1. 可[参考文档](https:\/\/aliyuque.antfin.com\/wufang.wq\/vp0u4m\/qnv85fmxdhcc384p?singleDoc# )定位OOM的worker及解决办法。",
                        "name":"运行出错",
                        "is_auto":false,
                        "rerun_task_id":79578257865,
                        "object_id":"20250216195027297gaz80w4vjo7",
                        "object_type":"LOGVIEW",
                        "desc":"出现模块：common模块的错误,错误码:ODPS-0010000, 部分错误信息：System internal error - fuxi job failed, caused by: kWorkerOutOfMemory(errCode:256) at Odps\/sec_aeapp_20250216195027297gaz80w4vjo7_SQL_0_1_0_job_0\/R6_5@bd-odps033056071142.sg113#205. Detail error msg: KILL_NAKILL_NA: plan "
                    }
                ]
            },
            "status":"SUCCESS"
        }
    }
}

<error_response>
    <code>50</code>
    <msg>Remote service error</msg>
    <sub_code>isv.invalid-parameter</sub_code>
    <sub_msg>非法参数</sub_msg>
</error_response>

{
	"error_response":{
		"msg":"Remote service error",
		"code":50,
		"sub_msg":"非法参数",
		"sub_code":"isv.invalid-parameter"
	}
}