Chilkat Online Tools

BatchDetectDominantLanguage Powershell Example

Amazon Comprehend

Add-Type -Path "C:\chilkat\ChilkatDotNet47-9.5.0-x64\ChilkatDotNet47.dll"

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

$rest = New-Object Chilkat.Rest

$authAws = New-Object Chilkat.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 -ne $true) {
    $("ConnectFailReason: " + $rest.ConnectFailReason)
    $($rest.LastErrorText)
    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 = New-Object Chilkat.JsonObject
$json.UpdateString("TextList[0]","string")

# The JSON request body created by the above code:

# {
#   "TextList": [
#     "string"
#   ]
# }

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

$sbRequestBody = New-Object Chilkat.StringBuilder
$json.EmitSb($sbRequestBody)
$sbResponseBody = New-Object Chilkat.StringBuilder
$success = $rest.FullRequestSb("POST","/",$sbRequestBody,$sbResponseBody)
if ($success -ne $true) {
    $($rest.LastErrorText)
    exit
}

$respStatusCode = $rest.ResponseStatusCode
$("response status code = " + $respStatusCode)
if ($respStatusCode -ne 200) {
    $("Response Header:")
    $($rest.ResponseHeader)
    $("Response Body:")
    $($sbResponseBody.GetAsString())
    exit
}

$jResp = New-Object Chilkat.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

$i = 0
$count_i = $jResp.SizeOfArray("ErrorList")
while ($i -lt $count_i) {
    $jResp.I = $i
    $ErrorCode = $jResp.StringOf("ErrorList[i].ErrorCode")
    $ErrorMessage = $jResp.StringOf("ErrorList[i].ErrorMessage")
    $Index = $jResp.IntOf("ErrorList[i].Index")
    $i = $i + 1
}

$i = 0
$count_i = $jResp.SizeOfArray("ResultList")
while ($i -lt $count_i) {
    $jResp.I = $i
    $Index = $jResp.IntOf("ResultList[i].Index")
    $j = 0
    $count_j = $jResp.SizeOfArray("ResultList[i].Languages")
    while ($j -lt $count_j) {
        $jResp.J = $j
        $LanguageCode = $jResp.StringOf("ResultList[i].Languages[j].LanguageCode")
        $Score = $jResp.IntOf("ResultList[i].Languages[j].Score")
        $j = $j + 1
    }

    $i = $i + 1
}

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

# {
#   "ErrorList": [
#     {
#       "ErrorCode": "string",
#       "ErrorMessage": "string",
#       "Index": number
#     }
#   ],
#   "ResultList": [
#     {
#       "Index": number,
#       "Languages": [
#         {
#           "LanguageCode": "string",
#           "Score": number
#         }
#       ]
#     }
#   ]
# }