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"""Lambda entry point"""
import time
from http import HTTPStatus
from typing import Dict
from aws_lambda_powertools.utilities.typing import LambdaContext
from pydantic import ValidationError
from src import app_logger
from src.io.lambda_helpers import get_parsed_request_body, get_parsed_bbox_points, get_response
from src.prediction_api.predictors import samexporter_predict
def lambda_handler(event: Dict, context: LambdaContext) -> str:
"""
Handle the request for the serverless backend and return the response
(success or a type of error based on the exception raised).
Args:
event: request content
context: request context
Returns:
json response from get_response() function
"""
app_logger.info(f"start with aws_request_id:{context.aws_request_id}.")
start_time = time.time()
if "version" in event:
app_logger.info(f"event version: {event['version']}.")
try:
app_logger.info("try get_parsed_event...")
request_input = get_parsed_request_body(event)
app_logger.info("event parsed: ok")
body_request = get_parsed_bbox_points(request_input)
app_logger.info(f"body_request => {type(body_request)}, {body_request}.")
try:
body_response = samexporter_predict(body_request["bbox"], body_request["prompt"], body_request["zoom"])
app_logger.info(f"output body_response:{body_response}.")
response = get_response(HTTPStatus.OK.value, start_time, context.aws_request_id, body_response)
except Exception as ex2:
app_logger.error(f"exception2:{ex2}.")
response = get_response(HTTPStatus.INTERNAL_SERVER_ERROR.value, start_time, context.aws_request_id, {})
except ValidationError as va1:
app_logger.error(f"ValidationError:{va1}.")
response = get_response(HTTPStatus.UNPROCESSABLE_ENTITY.value, start_time, context.aws_request_id, {})
except Exception as ex1:
app_logger.error(f"exception1:{ex1}.")
response = get_response(HTTPStatus.BAD_REQUEST.value, start_time, context.aws_request_id, {})
app_logger.info(f"response_dumped:{response}...")
return response
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