Chilkat Online Tools

SearchContent Python Example

Amazon Wisdom

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 = "wisdom"
# SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
rest.SetAuthAws(authAws)

# URL: https://wisdom.us-west-2.amazonaws.com/
# Use the same region as specified above.
success = rest.Connect("wisdom.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("searchExpression.filters[0].field","string")
json.UpdateString("searchExpression.filters[0].operator","string")
json.UpdateString("searchExpression.filters[0].value","string")

# The JSON request body created by the above code:

# {
#   "searchExpression": {
#     "filters": [
#       {
#         "field": "string",
#         "operator": "string",
#         "value": "string"
#       }
#     ]
#   }
# }

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

sbRequestBody = chilkat2.StringBuilder()
json.EmitSb(sbRequestBody)
sbResponseBody = chilkat2.StringBuilder()
success = rest.FullRequestSb("POST","/knowledgeBases/{knowledgeBaseId}/search",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

nextToken = jResp.StringOf("nextToken")
i = 0
count_i = jResp.SizeOfArray("contentSummaries")
while i < count_i :
    jResp.I = i
    contentArn = jResp.StringOf("contentSummaries[i].contentArn")
    contentId = jResp.StringOf("contentSummaries[i].contentId")
    contentType = jResp.StringOf("contentSummaries[i].contentType")
    knowledgeBaseArn = jResp.StringOf("contentSummaries[i].knowledgeBaseArn")
    knowledgeBaseId = jResp.StringOf("contentSummaries[i].knowledgeBaseId")
    v_String = jResp.StringOf("contentSummaries[i].metadata.string")
    name = jResp.StringOf("contentSummaries[i].name")
    revisionId = jResp.StringOf("contentSummaries[i].revisionId")
    status = jResp.StringOf("contentSummaries[i].status")
    tagsString = jResp.StringOf("contentSummaries[i].tags.string")
    title = jResp.StringOf("contentSummaries[i].title")
    i = i + 1

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

# {
#   "contentSummaries": [
#     {
#       "contentArn": "string",
#       "contentId": "string",
#       "contentType": "string",
#       "knowledgeBaseArn": "string",
#       "knowledgeBaseId": "string",
#       "metadata": {
#         "string": "string"
#       },
#       "name": "string",
#       "revisionId": "string",
#       "status": "string",
#       "tags": {
#         "string": "string"
#       },
#       "title": "string"
#     }
#   ],
#   "nextToken": "string"
# }