68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
import json
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import logging
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import os
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from dataclasses import dataclass
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import boto3
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from aws_lambda_powertools import Tracer
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from common.ddb_service.client import DynamoDbUtilsService
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from common.excepts import BadRequestException
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from common.response import accepted
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from endpoints.delete_endpoints import get_endpoint_in_sagemaker
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from libs.utils import response_error, update_table_by_pk
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tracer = Tracer()
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table_name = os.environ.get('WORKFLOWS_TABLE')
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handler_name = os.environ.get('HANDLER_NAME')
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logger = logging.getLogger(__name__)
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logger.setLevel(os.environ.get('LOG_LEVEL') or logging.ERROR)
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ddb_service = DynamoDbUtilsService(logger=logger)
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s3_resource = boto3.resource('s3')
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bucket_name = os.environ.get('S3_BUCKET_NAME')
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s3_bucket = s3_resource.Bucket(bucket_name)
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lambda_client = boto3.client('lambda')
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@dataclass
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class DeleteWorkflowsEvent:
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workflow_name_list: [str]
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def endpoint_in_use(endpoint_name):
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if get_endpoint_in_sagemaker(endpoint_name):
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raise BadRequestException(f"Endpoint {endpoint_name} is still in use")
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@tracer.capture_lambda_handler
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def handler(raw_event, ctx):
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try:
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logger.info(json.dumps(raw_event))
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event = DeleteWorkflowsEvent(**json.loads(raw_event['body']))
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for name in event.workflow_name_list:
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endpoint_in_use(f'comfy-async-{name}')
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endpoint_in_use(f'comfy-real-time-{name}')
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try:
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update_table_by_pk(table=table_name, pk_name='name', pk_value=name, key='status', value='Deleting')
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except Exception as e:
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logger.error(f"Update workflow status error: {e}")
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resp = lambda_client.invoke(
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FunctionName=handler_name,
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InvocationType='Event',
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Payload=json.dumps({
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'name': name,
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})
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)
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logger.info(resp)
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return accepted(message="Workflows Delete Request Accepted")
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except Exception as e:
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return response_error(e)
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