56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
import logging
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import os
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from common.ddb_service.client import DynamoDbUtilsService
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from common.response import ok
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from libs.data_types import InferenceJob
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from libs.utils import get_user_roles, check_user_permissions
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inference_table_name = os.environ.get('INFERENCE_JOB_TABLE')
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user_table = os.environ.get('MULTI_USER_TABLE')
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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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# GET /inferences?last_evaluated_key=xxx&limit=10&username=USER_NAME&name=SageMaker_Endpoint_Name&filter=key:value,key:value
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def handler(event, ctx):
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_filter = {}
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parameters = event['queryStringParameters']
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# todo: support pagination later
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# limit = parameters['limit'] if 'limit' in parameters and parameters['limit'] else None
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# last_evaluated_key = parameters['last_evaluated_key'] if 'last_evaluated_key' in parameters and parameters[
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# 'last_evaluated_key'] else None
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#
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# if last_evaluated_key and isinstance(last_evaluated_key, str):
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# last_evaluated_key = json.loads(last_evaluated_key)
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# last_token = None
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username = None
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if parameters:
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username = parameters['username'] if 'username' in parameters and parameters['username'] else None
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scan_rows = ddb_service.scan(inference_table_name, filters=None)
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results = []
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user_roles = []
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if username:
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user_roles = get_user_roles(ddb_service=ddb_service, user_table_name=user_table, username=username)
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for row in scan_rows:
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inference = InferenceJob(**(ddb_service.deserialize(row)))
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if username:
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if check_user_permissions(inference.owner_group_or_role, user_roles, username):
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results.append(inference.__dict__)
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else:
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results.append(inference.__dict__)
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data = {
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'inferences': results
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}
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return ok(data=data, decimal=True)
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