Chilkat Online Tools

DescribeDocumentClassifier Java Example

Amazon Comprehend

import com.chilkatsoft.*;

public class ChilkatExample {

  static {
    try {
        System.loadLibrary("chilkat");
    } catch (UnsatisfiedLinkError e) {
      System.err.println("Native code library failed to load.\n" + e);
      System.exit(1);
    }
  }

  public static void main(String argv[])
  {
    // This example requires the Chilkat API to have been previously unlocked.
    // See Global Unlock Sample for sample code.

    CkRest rest = new CkRest();
    boolean success;

    CkAuthAws authAws = new CkAuthAws();
    authAws.put_AccessKey("AWS_ACCESS_KEY");
    authAws.put_SecretKey("AWS_SECRET_KEY");

    // Don't forget to change the region to your particular region. (Also make the same change in the call to Connect below.)
    authAws.put_Region("us-west-2");
    authAws.put_ServiceName("comprehend");
    // SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
    rest.SetAuthAws(authAws);

    // URL: https://comprehend.us-west-2.amazonaws.com/
    // Use the same region as specified above.
    success = rest.Connect("comprehend.us-west-2.amazonaws.com",443,true,true);
    if (success != true) {
        System.out.println("ConnectFailReason: " + rest.get_ConnectFailReason());
        System.out.println(rest.lastErrorText());
        return;
        }

    // The following code creates the JSON request body.
    // The JSON created by this code is shown below.

    // Use this online tool to generate code from sample JSON:
    // Generate Code to Create JSON

    CkJsonObject json = new CkJsonObject();
    json.UpdateString("DocumentClassifierArn","string");

    // The JSON request body created by the above code:

    // {
    //   "DocumentClassifierArn": "string"
    // }

    rest.AddHeader("Content-Type","application/x-amz-json-1.1");
    rest.AddHeader("X-Amz-Target","Comprehend_20171127.DescribeDocumentClassifier");

    CkStringBuilder sbRequestBody = new CkStringBuilder();
    json.EmitSb(sbRequestBody);
    CkStringBuilder sbResponseBody = new CkStringBuilder();
    success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody);
    if (success != true) {
        System.out.println(rest.lastErrorText());
        return;
        }

    int respStatusCode = rest.get_ResponseStatusCode();
    System.out.println("response status code = " + respStatusCode);
    if (respStatusCode != 200) {
        System.out.println("Response Header:");
        System.out.println(rest.responseHeader());
        System.out.println("Response Body:");
        System.out.println(sbResponseBody.getAsString());
        return;
        }

    CkJsonObject jResp = new CkJsonObject();
    jResp.LoadSb(sbResponseBody);

    // The following code parses the JSON response.
    // A sample JSON response is shown below the sample code.

    // Use this online tool to generate parsing code from sample JSON:
    // Generate Parsing Code from JSON

    String AnnotationDataS3Uri;
    String DocumentType;
    String SourceDocumentsS3Uri;
    String Split;
    int j;
    int count_j;
    String strVal;

    int Accuracy = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.Accuracy");
    int F1Score = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.F1Score");
    int HammingLoss = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.HammingLoss");
    int MicroF1Score = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.MicroF1Score");
    int MicroPrecision = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.MicroPrecision");
    int MicroRecall = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.MicroRecall");
    int Precision = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.Precision");
    int Recall = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.Recall");
    int NumberOfLabels = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.NumberOfLabels");
    int NumberOfTestDocuments = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.NumberOfTestDocuments");
    int NumberOfTrainedDocuments = jResp.IntOf("DocumentClassifierProperties.ClassifierMetadata.NumberOfTrainedDocuments");
    String DataAccessRoleArn = jResp.stringOf("DocumentClassifierProperties.DataAccessRoleArn");
    String DocumentClassifierArn = jResp.stringOf("DocumentClassifierProperties.DocumentClassifierArn");
    int EndTime = jResp.IntOf("DocumentClassifierProperties.EndTime");
    String DataFormat = jResp.stringOf("DocumentClassifierProperties.InputDataConfig.DataFormat");
    String LabelDelimiter = jResp.stringOf("DocumentClassifierProperties.InputDataConfig.LabelDelimiter");
    String S3Uri = jResp.stringOf("DocumentClassifierProperties.InputDataConfig.S3Uri");
    String TestS3Uri = jResp.stringOf("DocumentClassifierProperties.InputDataConfig.TestS3Uri");
    String LanguageCode = jResp.stringOf("DocumentClassifierProperties.LanguageCode");
    String Message = jResp.stringOf("DocumentClassifierProperties.Message");
    String Mode = jResp.stringOf("DocumentClassifierProperties.Mode");
    String ModelKmsKeyId = jResp.stringOf("DocumentClassifierProperties.ModelKmsKeyId");
    String KmsKeyId = jResp.stringOf("DocumentClassifierProperties.OutputDataConfig.KmsKeyId");
    String OutputDataConfigS3Uri = jResp.stringOf("DocumentClassifierProperties.OutputDataConfig.S3Uri");
    String SourceModelArn = jResp.stringOf("DocumentClassifierProperties.SourceModelArn");
    String Status = jResp.stringOf("DocumentClassifierProperties.Status");
    int SubmitTime = jResp.IntOf("DocumentClassifierProperties.SubmitTime");
    int TrainingEndTime = jResp.IntOf("DocumentClassifierProperties.TrainingEndTime");
    int TrainingStartTime = jResp.IntOf("DocumentClassifierProperties.TrainingStartTime");
    String VersionName = jResp.stringOf("DocumentClassifierProperties.VersionName");
    String VolumeKmsKeyId = jResp.stringOf("DocumentClassifierProperties.VolumeKmsKeyId");
    int i = 0;
    int count_i = jResp.SizeOfArray("DocumentClassifierProperties.InputDataConfig.AugmentedManifests");
    while (i < count_i) {
        jResp.put_I(i);
        AnnotationDataS3Uri = jResp.stringOf("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].AnnotationDataS3Uri");
        DocumentType = jResp.stringOf("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].DocumentType");
        S3Uri = jResp.stringOf("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].S3Uri");
        SourceDocumentsS3Uri = jResp.stringOf("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].SourceDocumentsS3Uri");
        Split = jResp.stringOf("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].Split");
        j = 0;
        count_j = jResp.SizeOfArray("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].AttributeNames");
        while (j < count_j) {
            jResp.put_J(j);
            strVal = jResp.stringOf("DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].AttributeNames[j]");
            j = j+1;
            }

        i = i+1;
        }

    i = 0;
    count_i = jResp.SizeOfArray("DocumentClassifierProperties.VpcConfig.SecurityGroupIds");
    while (i < count_i) {
        jResp.put_I(i);
        strVal = jResp.stringOf("DocumentClassifierProperties.VpcConfig.SecurityGroupIds[i]");
        i = i+1;
        }

    i = 0;
    count_i = jResp.SizeOfArray("DocumentClassifierProperties.VpcConfig.Subnets");
    while (i < count_i) {
        jResp.put_I(i);
        strVal = jResp.stringOf("DocumentClassifierProperties.VpcConfig.Subnets[i]");
        i = i+1;
        }

    // A sample JSON response body parsed by the above code:

    // {
    //   "DocumentClassifierProperties": {
    //     "ClassifierMetadata": {
    //       "EvaluationMetrics": {
    //         "Accuracy": number,
    //         "F1Score": number,
    //         "HammingLoss": number,
    //         "MicroF1Score": number,
    //         "MicroPrecision": number,
    //         "MicroRecall": number,
    //         "Precision": number,
    //         "Recall": number
    //       },
    //       "NumberOfLabels": number,
    //       "NumberOfTestDocuments": number,
    //       "NumberOfTrainedDocuments": number
    //     },
    //     "DataAccessRoleArn": "string",
    //     "DocumentClassifierArn": "string",
    //     "EndTime": number,
    //     "InputDataConfig": {
    //       "AugmentedManifests": [
    //         {
    //           "AnnotationDataS3Uri": "string",
    //           "AttributeNames": [
    //             "string"
    //           ],
    //           "DocumentType": "string",
    //           "S3Uri": "string",
    //           "SourceDocumentsS3Uri": "string",
    //           "Split": "string"
    //         }
    //       ],
    //       "DataFormat": "string",
    //       "LabelDelimiter": "string",
    //       "S3Uri": "string",
    //       "TestS3Uri": "string"
    //     },
    //     "LanguageCode": "string",
    //     "Message": "string",
    //     "Mode": "string",
    //     "ModelKmsKeyId": "string",
    //     "OutputDataConfig": {
    //       "KmsKeyId": "string",
    //       "S3Uri": "string"
    //     },
    //     "SourceModelArn": "string",
    //     "Status": "string",
    //     "SubmitTime": number,
    //     "TrainingEndTime": number,
    //     "TrainingStartTime": number,
    //     "VersionName": "string",
    //     "VolumeKmsKeyId": "string",
    //     "VpcConfig": {
    //       "SecurityGroupIds": [
    //         "string"
    //       ],
    //       "Subnets": [
    //         "string"
    //       ]
    //     }
    //   }
    // }
  }
}