iris_classification_lambda / lambda_function.py
Clement Vachet
Improve code based on pylint and black suggestions
9ecca49
"""
AWS Lambda function
"""
import json
from classification.classifier import Classifier
cls = Classifier()
# Lambda handler (proxy integration option unchecked on AWS API Gateway)
def lambda_handler(event, context):
"""
Lambda handler (proxy integration option unchecked on AWS API Gateway)
Args:
event (dict): The event that triggered the Lambda function.
context (LambdaContext): Information about the execution environment.
Returns:
dict: The response to be returned from the Lambda function.
"""
try:
features = event.get("features", {})
if not features:
raise ValueError("'features' key missing")
response = cls.load_and_test(features)
return {
"statusCode": 200,
"headers": {"Content-Type": "application/json"},
"body": json.dumps(
{"predictions": response["predictions"], "probabilities": response["probabilities"]}
),
}
except Exception as e:
return {"statusCode": 500, "body": json.dumps({"error": str(e)})}