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import json |
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import time |
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from http import HTTPStatus |
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from aws_lambda_powertools import Logger |
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from aws_lambda_powertools.event_handler import content_types, Response |
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from aws_lambda_powertools.utilities.typing import LambdaContext |
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from pydantic import BaseModel, ValidationError |
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from src.utilities.type_hints import input_floatlist, input_floatlist2 |
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from src.utilities.utilities import base64_decode |
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logger = Logger() |
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class BBoxWithPointInput(BaseModel): |
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bbox: input_floatlist |
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points: input_floatlist2 |
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duration_run: float = 0 |
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message: str = "" |
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request_id: str = "" |
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def get_response(status: int, start_time: float, request_id: str, output: BBoxWithPointInput = None) -> str: |
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""" |
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Return a response for frontend clients. |
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Args: |
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status: status response |
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start_time: request start time (float) |
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request_id: str |
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output: dict we embed into our response |
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Returns: |
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dict: response |
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""" |
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messages = {200: "ok", 422: "validation error", 500: "internal server error"} |
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body = f"{messages[status]}, request_id: {request_id}." |
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if status == 200: |
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output.duration_run = time.time() - start_time |
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output.message = messages[status] |
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output.request_id = request_id |
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body = output.model_dump_json() |
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response = { |
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"statusCode": status, |
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"headers": { |
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"Content-Type": content_types.APPLICATION_JSON if status == 200 else content_types.TEXT_PLAIN |
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}, |
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"body": body, |
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"isBase64Encoded": False |
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} |
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logger.info(f"response type:{type(response)} => {response}.") |
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return json.dumps(response) |
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def lambda_handler(event: dict, context: LambdaContext): |
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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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logger.info(f"event version: {event['version']}.") |
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try: |
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logger.info(f"event:{json.dumps(event)}...") |
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logger.info(f"context:{context}...") |
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try: |
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body = event["body"] |
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except Exception as e_constants1: |
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logger.error(f"e_constants1:{e_constants1}.") |
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body = event |
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logger.info(f"body: {type(body)}, {body}...") |
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if isinstance(body, str): |
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body_decoded_str = base64_decode(body) |
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logger.info(f"body_decoded_str: {type(body_decoded_str)}, {body_decoded_str}...") |
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body = json.loads(body_decoded_str) |
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logger.info(f"body:{body}...") |
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try: |
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bbox_points = BBoxWithPointInput(bbox=body["bbox"], points=body["points"]) |
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logger.info(f"validation ok, bbox_points:{bbox_points}...") |
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response = get_response(HTTPStatus.OK.value, start_time, context.aws_request_id, bbox_points) |
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except ValidationError as ve: |
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logger.error(f"validation error:{ve}.") |
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response = get_response(422, start_time, context.aws_request_id) |
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except Exception as e: |
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logger.error(f"exception:{e}.") |
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response = get_response(500, start_time, context.aws_request_id) |
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logger.info(f"response_dumped:{response}...") |
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return response |
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