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hey @pdeshmuk ,
you can find it in the console and maybe create a PR to add it to the code base if you find it needed.
final full and correct code after troubleshooting (check environmental variables too):
def lambda_handler(event, context):
# Print the received event to the logs
print("Received event: ")
print(event)
# Initialize response code to None
response_code = None
# Extract the action group, api path, and parameters from the prediction
action = event["actionGroup"]
api_path = event["apiPath"]
inputText = event["inputText"]
httpMethod = event["httpMethod"]
print(f"inputText: {inputText}")
# Check the api path to determine which tool function to call
if api_path == "/get_num_records":
s3 = boto3.client("s3")
s3.download_file(S3_BUCKET, S3_OBJECT, "/tmp/data.csv")
df = pandas.read_csv("/tmp/data.csv")
# Get count of dataframe
count = len(df)
response_body = {"application/json": {"body": str(count)}}
response_code = 200
else:
# If the api path is not recognized, return an error message
body = {"{}::{} is not a valid api, try another one.".format(action, api_path)}
response_code = 400
response_body = {"application/json": {"body": str(body)}}
# Print the response body to the logs
print(f"Response body: {response_body}")
# Create a dictionary containing the response details
action_response = {
"actionGroup": action,
"apiPath": api_path,
"httpMethod": httpMethod,
"httpStatusCode": response_code,
"responseBody": response_body,
}
# Return the list of responses as a dictionary
api_response = {"messageVersion": "1.0", "response": action_response}
return api_response
The data_process_action lambda is used in the "Building Agents for Amazon Bedrock" module. The lambda code is not shared in the GitHub project
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