Chilkat Online Tools

DescribeDocumentClassifier unicodeCpp Example

Amazon Comprehend

#include <CkRestW.h>
#include <CkAuthAwsW.h>
#include <CkJsonObjectW.h>
#include <CkStringBuilderW.h>

void ChilkatSample(void)
    {
    // This example requires the Chilkat API to have been previously unlocked.
    // See Global Unlock Sample for sample code.

    CkRestW rest;
    bool success;

    CkAuthAwsW authAws;
    authAws.put_AccessKey(L"AWS_ACCESS_KEY");
    authAws.put_SecretKey(L"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(L"us-west-2");
    authAws.put_ServiceName(L"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(L"comprehend.us-west-2.amazonaws.com",443,true,true);
    if (success != true) {
        wprintf(L"ConnectFailReason: %d\n",rest.get_ConnectFailReason());
        wprintf(L"%s\n",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

    CkJsonObjectW json;
    json.UpdateString(L"DocumentClassifierArn",L"string");

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

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

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

    CkStringBuilderW sbRequestBody;
    json.EmitSb(sbRequestBody);
    CkStringBuilderW sbResponseBody;
    success = rest.FullRequestSb(L"POST",L"/",sbRequestBody,sbResponseBody);
    if (success != true) {
        wprintf(L"%s\n",rest.lastErrorText());
        return;
    }

    int respStatusCode = rest.get_ResponseStatusCode();
    wprintf(L"response status code = %d\n",respStatusCode);
    if (respStatusCode != 200) {
        wprintf(L"Response Header:\n");
        wprintf(L"%s\n",rest.responseHeader());
        wprintf(L"Response Body:\n");
        wprintf(L"%s\n",sbResponseBody.getAsString());
        return;
    }

    CkJsonObjectW jResp;
    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

    // Chilkat functions returning "const char *" return a pointer to temporary internal memory owned and managed by Chilkat.
    // See this example explaining how this memory should be used: const char * functions.

    const wchar_t *AnnotationDataS3Uri = 0;
    const wchar_t *DocumentType = 0;
    const wchar_t *SourceDocumentsS3Uri = 0;
    const wchar_t *Split = 0;
    int j;
    int count_j;
    const wchar_t *strVal = 0;

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

        i = i + 1;
    }

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

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