69 lines
1.8 KiB
Python
69 lines
1.8 KiB
Python
import json
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import sqlite3
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from aws_lambda_powertools import Logger
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from aws_lambda_powertools.utilities.data_classes import (
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EventBridgeEvent,
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event_source,
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)
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from aws_lambda_powertools.utilities.typing import LambdaContext
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from layercake.dateutils import now
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from layercake.dynamodb import (
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DynamoDBPersistenceLayer,
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KeyPair,
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)
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from sqlite_utils import Database
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from boto3clients import dynamodb_client
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from config import ORDER_TABLE, SQLITE_DATABASE, SQLITE_TABLE
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sqlite3.register_converter('json', json.loads)
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logger = Logger(__name__)
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order_layer = DynamoDBPersistenceLayer(ORDER_TABLE, dynamodb_client)
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@event_source(data_class=EventBridgeEvent)
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@logger.inject_lambda_context
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def lambda_handler(event: EventBridgeEvent, context: LambdaContext) -> bool:
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new_image = event.detail['new_image']
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now_ = now()
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items = new_image['items']
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new_items: list[dict] = []
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for item in items:
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course = _get_course(item['id'])
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new_items.append(
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item
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| (
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{
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'id': course.get('metadata__betaeducacao_id'),
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}
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if course
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else {}
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)
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)
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order_layer.update_item(
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key=KeyPair(new_image['id'], 'items'),
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update_expr='SET #items = :items, updated_at = :updated_at',
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expr_attr_names={'#items': 'items'},
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expr_attr_values={':items': new_items, ':updated_at': now_},
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)
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return True
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def _get_course(course_id: str) -> dict | None:
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with sqlite3.connect(
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database=SQLITE_DATABASE, detect_types=sqlite3.PARSE_DECLTYPES
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) as conn:
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db = Database(conn)
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rows = db[SQLITE_TABLE].rows_where('id = ?', [course_id])
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for row in rows:
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return row['json']
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return None
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