ListRealtimeContactAnalysisSegments Ruby Example
require 'chilkat'
# This example requires the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.
rest = Chilkat::CkRest.new()
authAws = Chilkat::CkAuthAws.new()
authAws.put_AccessKey("AWS_ACCESS_KEY")
authAws.put_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.put_Region("us-west-2")
authAws.put_ServiceName("connect")
# SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
rest.SetAuthAws(authAws)
# URL: https://contact-lens.us-west-2.amazonaws.com/
# Use the same region as specified above.
success = rest.Connect("contact-lens.us-west-2.amazonaws.com",443,true,true)
if (success != true)
print "ConnectFailReason: " + rest.get_ConnectFailReason().to_s() + "\n";
print rest.lastErrorText() + "\n";
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 = Chilkat::CkJsonObject.new()
json.UpdateString("ContactId","string")
json.UpdateString("InstanceId","string")
json.UpdateInt("MaxResults",123)
json.UpdateString("NextToken","string")
# The JSON request body created by the above code:
# {
# "ContactId": "string",
# "InstanceId": "string",
# "MaxResults": number,
# "NextToken": "string"
# }
rest.AddHeader("Content-Type","application/x-amz-json-1.1")
rest.AddHeader("X-Amz-Target","ListRealtimeContactAnalysisSegments")
sbRequestBody = Chilkat::CkStringBuilder.new()
json.EmitSb(sbRequestBody)
sbResponseBody = Chilkat::CkStringBuilder.new()
success = rest.FullRequestSb("POST","/realtime-contact-analysis/analysis-segments",sbRequestBody,sbResponseBody)
if (success != true)
print rest.lastErrorText() + "\n";
exit
end
respStatusCode = rest.get_ResponseStatusCode()
print "response status code = " + respStatusCode.to_s() + "\n";
if (respStatusCode != 200)
print "Response Header:" + "\n";
print rest.responseHeader() + "\n";
print "Response Body:" + "\n";
print sbResponseBody.getAsString() + "\n";
exit
end
jResp = Chilkat::CkJsonObject.new()
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
NextToken = jResp.stringOf("NextToken")
i = 0
count_i = jResp.SizeOfArray("Segments")
while i < count_i
jResp.put_I(i)
BeginOffsetMillis = jResp.IntOf("Segments[i].Transcript.BeginOffsetMillis")
Content = jResp.stringOf("Segments[i].Transcript.Content")
EndOffsetMillis = jResp.IntOf("Segments[i].Transcript.EndOffsetMillis")
Id = jResp.stringOf("Segments[i].Transcript.Id")
ParticipantId = jResp.stringOf("Segments[i].Transcript.ParticipantId")
ParticipantRole = jResp.stringOf("Segments[i].Transcript.ParticipantRole")
Sentiment = jResp.stringOf("Segments[i].Transcript.Sentiment")
j = 0
count_j = jResp.SizeOfArray("Segments[i].Categories.MatchedCategories")
while j < count_j
jResp.put_J(j)
strVal = jResp.stringOf("Segments[i].Categories.MatchedCategories[j]")
j = j + 1
end
j = 0
count_j = jResp.SizeOfArray("Segments[i].Categories.MatchedDetails.string.PointsOfInterest")
while j < count_j
jResp.put_J(j)
BeginOffsetMillis = jResp.IntOf("Segments[i].Categories.MatchedDetails.string.PointsOfInterest[j].BeginOffsetMillis")
EndOffsetMillis = jResp.IntOf("Segments[i].Categories.MatchedDetails.string.PointsOfInterest[j].EndOffsetMillis")
j = j + 1
end
j = 0
count_j = jResp.SizeOfArray("Segments[i].Transcript.IssuesDetected")
while j < count_j
jResp.put_J(j)
BeginOffsetChar = jResp.IntOf("Segments[i].Transcript.IssuesDetected[j].CharacterOffsets.BeginOffsetChar")
EndOffsetChar = jResp.IntOf("Segments[i].Transcript.IssuesDetected[j].CharacterOffsets.EndOffsetChar")
j = j + 1
end
i = i + 1
end
# A sample JSON response body parsed by the above code:
# {
# "NextToken": "string",
# "Segments": [
# {
# "Categories": {
# "MatchedCategories": [
# "string"
# ],
# "MatchedDetails": {
# "string": {
# "PointsOfInterest": [
# {
# "BeginOffsetMillis": number,
# "EndOffsetMillis": number
# }
# ]
# }
# }
# },
# "Transcript": {
# "BeginOffsetMillis": number,
# "Content": "string",
# "EndOffsetMillis": number,
# "Id": "string",
# "IssuesDetected": [
# {
# "CharacterOffsets": {
# "BeginOffsetChar": number,
# "EndOffsetChar": number
# }
# }
# ],
# "ParticipantId": "string",
# "ParticipantRole": "string",
# "Sentiment": "string"
# }
# }
# ]
# }