数据处理状态查询API

请求入参

响应参数

SDK调用

Java示例

<dependency>
  <groupId>com.aliyun</groupId>
  <artifactId>alinlp20200629</artifactId>
  <version>2.7.2</version>
</dependency>

<!--出现java.lang.NoSuchMethodError: com.aliyun.credentials.Client.getCredential()Lcom/aliyun/credentials/models/CredentialModel;异常则引入-->
<dependency>
    <groupId>com.aliyun</groupId>
    <artifactId>credentials-java</artifactId>
    <version>0.3.0</version>
</dependency>

public static void main(String[] args) throws Exception {
  Config config = new Config();
  config.setEndpoint("alinlp.cn-hangzhou.aliyuncs.com");
  config.setAccessKeyId("xxx");
  config.setAccessKeySecret("xxx");
  Client client = new Client(config);
  PostMSDataProcessingCountRequest request = new PostMSDataProcessingCountRequest();
  request.setServiceId(1831L);
  request.setDataIds(Lists.newArrayList("1","2","3","4","5"));
  PostMSDataProcessingCountResponse response = client.postMSDataProcessingCount(request);
  System.out.println(JacksonUtils.toJson(response));
}

{
  "code" : 200,
  "data" : {
    "dataProcessedStatuses" : [
      {
        "chunkNum" : "2",
        "dataId" : "1",
        "errorDataList" : [

        ],
        "opStatus" : {
          "chunk" : 1,
          "data_export" : 1,
          "data_import" : 2,
          "feature_analysis" : 2,
          "txt_extraction" : 1
        },
        "status" : "success",
        "versionValue" : "2024-01-14 11:40:00"
      },
      {
        "chunkNum" : "12",
        "dataId" : "2",
        "errorDataList" : [

        ],
        "opStatus" : {
          "chunk" : 1,
          "data_export" : 1,
          "data_import" : 12,
          "feature_analysis" : 12,
          "txt_extraction" : 1
        },
        "status" : "success",
        "versionValue" : "2024-01-14 11:40:00"
      },
      {
        "chunkNum" : "1",
        "dataId" : "3",
        "errorDataList" : [

        ],
        "opStatus" : {
          "chunk" : 1,
          "data_export" : 1,
          "data_import" : 1,
          "feature_analysis" : 1,
          "txt_extraction" : 1
        },
        "status" : "success",
        "versionValue" : "2024-01-14 11:40:00"
      },
      {
        "chunkNum" : "43",
        "dataId" : "4",
        "errorDataList" : [

        ],
        "opStatus" : {
          "chunk" : 1,
          "data_export" : 1,
          "data_import" : 43,
          "feature_analysis" : 43,
          "txt_extraction" : 1
        },
        "status" : "success",
        "versionValue" : "2024-01-14 11:40:00"
      },
      {
        "chunkNum" : "2",
        "dataId" : "5",
        "errorDataList" : [

        ],
        "opStatus" : {
          "chunk" : 1,
          "data_export" : 1,
          "data_import" : 2,
          "feature_analysis" : 2,
          "txt_extraction" : 1
        },
        "status" : "success",
        "versionValue" : "2024-01-14 11:40:00"
      },
      {
        "chunkNum" : "0",
        "dataId" : "6",
        "errorDataList" : [
          {
            "count" : 1,
            "errorCode" : "3009",
            "opType" : "txt_extraction"
          }
        ],
        "opStatus" : {
          "data_export" : 1,
          "txt_extraction" : 1
        },
        "status" : "fail",
        "versionValue" : "2024-01-15 10:31:51"
      }
    ],
    "status" : "finished"
  },
  "httpStatusCode" : 200,
  "msg" : null,
  "requestId" : "D9F2C41C-FF1C-41CE-B00E-F463DB27DB3E",
  "success" : true
}

Python示例

pip install alibabacloud-alinlp20200629==2.8.0

import json

from alibabacloud_alinlp20200629 import client
from alibabacloud_tea_openapi import models as api_models
from alibabacloud_alinlp20200629 import models
import os

os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'] = 'xxx'
os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET'] = 'xxx'


def data_processing_count():
    config = api_models.Config(access_key_id=os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'],
                               access_key_secret=os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET'], region_id="cn-beijing")
    nlp_client = client.Client(config)
    request = models.PostMSDataProcessingCountRequest()
    request.service_id = 1831
    request.data_ids = ['1', '2', '3']
    response = nlp_client.post_msdata_processing_count(request)
    # python2:  print(response)
    print(json.dumps(response.body.to_map()))


if __name__ == '__main__':
    data_processing_count()

{
  "Code" : 200,
  "Data" : {
    "DataProcessedStatuses" : [
      {
        "ChunkNum" : "1",
        "DataId" : "1",
        "ErrorDataList" : [

        ],
        "OpStatus" : {
          "MsFeatureAnalysis" : 1,
          "MsRecordLog" : 1,
          "MsTextChunk" : 1,
          "MsTextExtraction" : 1
        },
        "Status" : "success",
        "VersionValue" : "2024-01-19 15:22:14"
      },
      {
        "ChunkNum" : "1",
        "DataId" : "2",
        "ErrorDataList" : [

        ],
        "OpStatus" : {
          "MsFeatureAnalysis" : 1,
          "MsRecordLog" : 1,
          "MsTextChunk" : 1,
          "MsTextExtraction" : 1
        },
        "Status" : "success",
        "VersionValue" : "2024-01-19 15:22:14"
      },
      {
        "ChunkNum" : "1",
        "DataId" : "3",
        "ErrorDataList" : [

        ],
        "OpStatus" : {
          "MsFeatureAnalysis" : 1,
          "MsRecordLog" : 1,
          "MsTextChunk" : 1,
          "MsTextExtraction" : 1
        },
        "Status" : "success",
        "VersionValue" : "2024-01-14 11:25:00"
      }
    ]
  },
  "HttpStatusCode" : 200,
  "RequestId" : "86FB9825-4C0C-1149-8684-5C2549C1C703",
  "Success" : true
}