Chilkat Online Tools

DescribeDocumentClassifier delphiAx Example

Amazon Comprehend

var
rest: TChilkatRest;
success: Integer;
authAws: TChilkatAuthAws;
json: TChilkatJsonObject;
sbRequestBody: TChilkatStringBuilder;
sbResponseBody: TChilkatStringBuilder;
respStatusCode: Integer;
jResp: TChilkatJsonObject;
AnnotationDataS3Uri: WideString;
DocumentType: WideString;
SourceDocumentsS3Uri: WideString;
Split: WideString;
j: Integer;
count_j: Integer;
strVal: WideString;
Accuracy: Integer;
F1Score: Integer;
HammingLoss: Integer;
MicroF1Score: Integer;
MicroPrecision: Integer;
MicroRecall: Integer;
Precision: Integer;
Recall: Integer;
NumberOfLabels: Integer;
NumberOfTestDocuments: Integer;
NumberOfTrainedDocuments: Integer;
DataAccessRoleArn: WideString;
DocumentClassifierArn: WideString;
EndTime: Integer;
DataFormat: WideString;
LabelDelimiter: WideString;
S3Uri: WideString;
TestS3Uri: WideString;
LanguageCode: WideString;
Message: WideString;
Mode: WideString;
ModelKmsKeyId: WideString;
KmsKeyId: WideString;
OutputDataConfigS3Uri: WideString;
SourceModelArn: WideString;
Status: WideString;
SubmitTime: Integer;
TrainingEndTime: Integer;
TrainingStartTime: Integer;
VersionName: WideString;
VolumeKmsKeyId: WideString;
i: Integer;
count_i: Integer;

begin
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.

rest := TChilkatRest.Create(Self);

authAws := TChilkatAuthAws.Create(Self);
authAws.AccessKey := 'AWS_ACCESS_KEY';
authAws.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.Region := 'us-west-2';
authAws.ServiceName := 'comprehend';
// SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
rest.SetAuthAws(authAws.ControlInterface);

// URL: https://comprehend.us-west-2.amazonaws.com/
// Use the same region as specified above.
success := rest.Connect('comprehend.us-west-2.amazonaws.com',443,1,1);
if (success <> 1) then
  begin
    Memo1.Lines.Add('ConnectFailReason: ' + IntToStr(rest.ConnectFailReason));
    Memo1.Lines.Add(rest.LastErrorText);
    Exit;
  end;

// 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

json := TChilkatJsonObject.Create(Self);
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');

sbRequestBody := TChilkatStringBuilder.Create(Self);
json.EmitSb(sbRequestBody.ControlInterface);
sbResponseBody := TChilkatStringBuilder.Create(Self);
success := rest.FullRequestSb('POST','/',sbRequestBody.ControlInterface,sbResponseBody.ControlInterface);
if (success <> 1) then
  begin
    Memo1.Lines.Add(rest.LastErrorText);
    Exit;
  end;
respStatusCode := rest.ResponseStatusCode;
Memo1.Lines.Add('response status code = ' + IntToStr(respStatusCode));
if (respStatusCode <> 200) then
  begin
    Memo1.Lines.Add('Response Header:');
    Memo1.Lines.Add(rest.ResponseHeader);
    Memo1.Lines.Add('Response Body:');
    Memo1.Lines.Add(sbResponseBody.GetAsString());
    Exit;
  end;

jResp := TChilkatJsonObject.Create(Self);
jResp.LoadSb(sbResponseBody.ControlInterface);

// 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

Accuracy := jResp.IntOf('DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.Accuracy');
F1Score := jResp.IntOf('DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.F1Score');
HammingLoss := jResp.IntOf('DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.HammingLoss');
MicroF1Score := jResp.IntOf('DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.MicroF1Score');
MicroPrecision := jResp.IntOf('DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.MicroPrecision');
MicroRecall := jResp.IntOf('DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.MicroRecall');
Precision := jResp.IntOf('DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.Precision');
Recall := jResp.IntOf('DocumentClassifierProperties.ClassifierMetadata.EvaluationMetrics.Recall');
NumberOfLabels := jResp.IntOf('DocumentClassifierProperties.ClassifierMetadata.NumberOfLabels');
NumberOfTestDocuments := jResp.IntOf('DocumentClassifierProperties.ClassifierMetadata.NumberOfTestDocuments');
NumberOfTrainedDocuments := jResp.IntOf('DocumentClassifierProperties.ClassifierMetadata.NumberOfTrainedDocuments');
DataAccessRoleArn := jResp.StringOf('DocumentClassifierProperties.DataAccessRoleArn');
DocumentClassifierArn := jResp.StringOf('DocumentClassifierProperties.DocumentClassifierArn');
EndTime := jResp.IntOf('DocumentClassifierProperties.EndTime');
DataFormat := jResp.StringOf('DocumentClassifierProperties.InputDataConfig.DataFormat');
LabelDelimiter := jResp.StringOf('DocumentClassifierProperties.InputDataConfig.LabelDelimiter');
S3Uri := jResp.StringOf('DocumentClassifierProperties.InputDataConfig.S3Uri');
TestS3Uri := jResp.StringOf('DocumentClassifierProperties.InputDataConfig.TestS3Uri');
LanguageCode := jResp.StringOf('DocumentClassifierProperties.LanguageCode');
Message := jResp.StringOf('DocumentClassifierProperties.Message');
Mode := jResp.StringOf('DocumentClassifierProperties.Mode');
ModelKmsKeyId := jResp.StringOf('DocumentClassifierProperties.ModelKmsKeyId');
KmsKeyId := jResp.StringOf('DocumentClassifierProperties.OutputDataConfig.KmsKeyId');
OutputDataConfigS3Uri := jResp.StringOf('DocumentClassifierProperties.OutputDataConfig.S3Uri');
SourceModelArn := jResp.StringOf('DocumentClassifierProperties.SourceModelArn');
Status := jResp.StringOf('DocumentClassifierProperties.Status');
SubmitTime := jResp.IntOf('DocumentClassifierProperties.SubmitTime');
TrainingEndTime := jResp.IntOf('DocumentClassifierProperties.TrainingEndTime');
TrainingStartTime := jResp.IntOf('DocumentClassifierProperties.TrainingStartTime');
VersionName := jResp.StringOf('DocumentClassifierProperties.VersionName');
VolumeKmsKeyId := jResp.StringOf('DocumentClassifierProperties.VolumeKmsKeyId');
i := 0;
count_i := jResp.SizeOfArray('DocumentClassifierProperties.InputDataConfig.AugmentedManifests');
while i < count_i do
  begin
    jResp.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 do
      begin
        jResp.J := j;
        strVal := jResp.StringOf('DocumentClassifierProperties.InputDataConfig.AugmentedManifests[i].AttributeNames[j]');
        j := j + 1;
      end;

    i := i + 1;
  end;

i := 0;
count_i := jResp.SizeOfArray('DocumentClassifierProperties.VpcConfig.SecurityGroupIds');
while i < count_i do
  begin
    jResp.I := i;
    strVal := jResp.StringOf('DocumentClassifierProperties.VpcConfig.SecurityGroupIds[i]');
    i := i + 1;
  end;

i := 0;
count_i := jResp.SizeOfArray('DocumentClassifierProperties.VpcConfig.Subnets');
while i < count_i do
  begin
    jResp.I := i;
    strVal := jResp.StringOf('DocumentClassifierProperties.VpcConfig.Subnets[i]');
    i := i + 1;
  end;

// 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"
//       ]
//     }
//   }
// }