Chilkat Online Tools

DescribeDocumentClassifier Python Example

Amazon Comprehend

import sys
import chilkat2

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

rest = chilkat2.Rest()

authAws = chilkat2.AuthAws()
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)

# 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):
    print("ConnectFailReason: " + str(rest.ConnectFailReason))
    print(rest.LastErrorText)
    sys.exit()

# 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 = chilkat2.JsonObject()
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 = chilkat2.StringBuilder()
json.EmitSb(sbRequestBody)
sbResponseBody = chilkat2.StringBuilder()
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
if (success != True):
    print(rest.LastErrorText)
    sys.exit()

respStatusCode = rest.ResponseStatusCode
print("response status code = " + str(respStatusCode))
if (respStatusCode != 200):
    print("Response Header:")
    print(rest.ResponseHeader)
    print("Response Body:")
    print(sbResponseBody.GetAsString())
    sys.exit()

jResp = chilkat2.JsonObject()
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

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 :
    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 :
        jResp.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.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.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"
#       ]
#     }
#   }
# }