Chilkat Online Tools

ListRealtimeContactAnalysisSegments Python Example

Amazon Connect Contact Lens

import sys
import chilkat

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

rest = chilkat.CkRest()

authAws = chilkat.CkAuthAws()
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: " + str(rest.get_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 = chilkat.CkJsonObject()
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()
json.EmitSb(sbRequestBody)
sbResponseBody = chilkat.CkStringBuilder()
success = rest.FullRequestSb("POST","/realtime-contact-analysis/analysis-segments",sbRequestBody,sbResponseBody)
if (success != True):
    print(rest.lastErrorText())
    sys.exit()

respStatusCode = rest.get_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 = chilkat.CkJsonObject()
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

    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

    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

    i = i + 1

# 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"
#       }
#     }
#   ]
# }