80 lines
2.5 KiB
Python
80 lines
2.5 KiB
Python
import json
|
|
import logging
|
|
import os
|
|
|
|
import boto3
|
|
from boto3.dynamodb.conditions import Key
|
|
|
|
from common.ddb_service.client import DynamoDbUtilsService
|
|
from common.response import ok
|
|
from common.util import get_query_param
|
|
from libs.data_types import InferenceJob
|
|
from libs.utils import get_user_roles, check_user_permissions, decode_last_key, encode_last_key, response_error
|
|
|
|
inference_table_name = os.environ.get('INFERENCE_JOB_TABLE')
|
|
user_table = os.environ.get('MULTI_USER_TABLE')
|
|
|
|
logger = logging.getLogger(__name__)
|
|
logger.setLevel(os.environ.get('LOG_LEVEL') or logging.ERROR)
|
|
|
|
ddb_service = DynamoDbUtilsService(logger=logger)
|
|
|
|
ddb = boto3.resource('dynamodb')
|
|
table = ddb.Table(inference_table_name)
|
|
|
|
|
|
# GET /inferences?last_evaluated_key=xxx&limit=10
|
|
def handler(event, ctx):
|
|
try:
|
|
logger.info(json.dumps(event))
|
|
_filter = {}
|
|
|
|
# todo compatibility with old version
|
|
# permissions_check(event, [PERMISSION_INFERENCE_ALL])
|
|
|
|
username = get_query_param(event, 'username')
|
|
last_evaluated_key = get_query_param(event, 'last_evaluated_key')
|
|
inference_type = get_query_param(event, 'type', 'txt2img')
|
|
limit = int(get_query_param(event, 'limit', 10))
|
|
|
|
scan_kwargs = {
|
|
'Limit': limit,
|
|
'IndexName': "taskType-createTime-index",
|
|
'KeyConditionExpression': Key('taskType').eq(inference_type),
|
|
"ScanIndexForward": False
|
|
}
|
|
|
|
if last_evaluated_key:
|
|
scan_kwargs['ExclusiveStartKey'] = decode_last_key(last_evaluated_key)
|
|
|
|
logger.info(scan_kwargs)
|
|
|
|
response = table.query(**scan_kwargs)
|
|
|
|
logger.info(json.dumps(response, default=str))
|
|
|
|
items = response.get('Items', [])
|
|
last_evaluated_key = encode_last_key(response.get('LastEvaluatedKey'))
|
|
|
|
results = []
|
|
user_roles = []
|
|
if username:
|
|
user_roles = get_user_roles(ddb_service=ddb_service, user_table_name=user_table, username=username)
|
|
|
|
for row in items:
|
|
inference = InferenceJob(**row)
|
|
if username:
|
|
if check_user_permissions(inference.owner_group_or_role, user_roles, username):
|
|
results.append(inference.__dict__)
|
|
else:
|
|
results.append(inference.__dict__)
|
|
|
|
data = {
|
|
'inferences': results,
|
|
'last_evaluated_key': last_evaluated_key
|
|
}
|
|
|
|
return ok(data=data, decimal=True)
|
|
except Exception as e:
|
|
return response_error(e)
|