ListTableColumns Python Example
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 = "honeycode"
# SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
rest.SetAuthAws(authAws)
# URL: https://honeycode.us-west-2.amazonaws.com/
# Use the same region as specified above.
success = rest.Connect("honeycode.us-west-2.amazonaws.com",443,True,True)
if (success != True):
print("ConnectFailReason: " + str(rest.ConnectFailReason))
print(rest.LastErrorText)
sys.exit()
rest.AddHeader("Content-Type","application/x-amz-json-1.1")
rest.AddHeader("X-Amz-Target","ListTableColumns")
sbResponseBody = chilkat2.StringBuilder()
success = rest.FullRequestNoBodySb("GET","/workbooks/{workbookId}/tables/{tableId}/columns",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")
workbookCursor = jResp.IntOf("workbookCursor")
i = 0
count_i = jResp.SizeOfArray("tableColumns")
while i < count_i :
jResp.I = i
format = jResp.StringOf("tableColumns[i].format")
tableColumnId = jResp.StringOf("tableColumns[i].tableColumnId")
tableColumnName = jResp.StringOf("tableColumns[i].tableColumnName")
i = i + 1
# A sample JSON response body parsed by the above code:
# {
# "nextToken": "string",
# "tableColumns": [
# {
# "format": "string",
# "tableColumnId": "string",
# "tableColumnName": "string"
# }
# ],
# "workbookCursor": number
# }