Chilkat Online Tools

ListDocumentClassifiers 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"Filter.DocumentClassifierName",L"string");
    json.UpdateString(L"Filter.Status",L"string");
    json.UpdateInt(L"Filter.SubmitTimeAfter",123);
    json.UpdateInt(L"Filter.SubmitTimeBefore",123);
    json.UpdateInt(L"MaxResults",123);
    json.UpdateString(L"NextToken",L"string");

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

    // {
    //   "Filter": {
    //     "DocumentClassifierName": "string",
    //     "Status": "string",
    //     "SubmitTimeAfter": number,
    //     "SubmitTimeBefore": number
    //   },
    //   "MaxResults": number,
    //   "NextToken": "string"
    // }

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

    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.

    int Accuracy;
    int F1Score;
    int HammingLoss;
    int MicroF1Score;
    int MicroPrecision;
    int MicroRecall;
    int Precision;
    int Recall;
    int NumberOfLabels;
    int NumberOfTestDocuments;
    int NumberOfTrainedDocuments;
    const wchar_t *DataAccessRoleArn = 0;
    const wchar_t *DocumentClassifierArn = 0;
    int EndTime;
    const wchar_t *DataFormat = 0;
    const wchar_t *LabelDelimiter = 0;
    const wchar_t *S3Uri = 0;
    const wchar_t *TestS3Uri = 0;
    const wchar_t *LanguageCode = 0;
    const wchar_t *Message = 0;
    const wchar_t *Mode = 0;
    const wchar_t *ModelKmsKeyId = 0;
    const wchar_t *KmsKeyId = 0;
    const wchar_t *OutputDataConfigS3Uri = 0;
    const wchar_t *SourceModelArn = 0;
    const wchar_t *Status = 0;
    int SubmitTime;
    int TrainingEndTime;
    int TrainingStartTime;
    const wchar_t *VersionName = 0;
    const wchar_t *VolumeKmsKeyId = 0;
    int j;
    int count_j;
    const wchar_t *AnnotationDataS3Uri = 0;
    const wchar_t *DocumentType = 0;
    const wchar_t *SourceDocumentsS3Uri = 0;
    const wchar_t *Split = 0;
    int k;
    int count_k;
    const wchar_t *strVal = 0;

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

            j = j + 1;
        }

        j = 0;
        count_j = jResp.SizeOfArray(L"DocumentClassifierPropertiesList[i].VpcConfig.SecurityGroupIds");
        while (j < count_j) {
            jResp.put_J(j);
            strVal = jResp.stringOf(L"DocumentClassifierPropertiesList[i].VpcConfig.SecurityGroupIds[j]");
            j = j + 1;
        }

        j = 0;
        count_j = jResp.SizeOfArray(L"DocumentClassifierPropertiesList[i].VpcConfig.Subnets");
        while (j < count_j) {
            jResp.put_J(j);
            strVal = jResp.stringOf(L"DocumentClassifierPropertiesList[i].VpcConfig.Subnets[j]");
            j = j + 1;
        }

        i = i + 1;
    }

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

    // {
    //   "DocumentClassifierPropertiesList": [
    //     {
    //       "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"
    //         ]
    //       }
    //     }
    //   ],
    //   "NextToken": "string"
    // }
    }