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