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# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import aria
from aria.orchestrator import context
from aria.storage import (
sql_mapi,
filesystem_rapi,
)
from . import models
from ..storage import init_inmemory_model_storage
from .topology import create_simple_topology_two_nodes
from tests.rest_mapi.core import ARESTClient
def simple(tmpdir, inmemory=False, context_kwargs=None, topology=None):
initiator = init_inmemory_model_storage if inmemory else None
initiator_kwargs = {} if inmemory else dict(base_dir=tmpdir)
topology = topology or create_simple_topology_two_nodes
model_storage = aria.application_model_storage(
sql_mapi.SQLAlchemyModelAPI, initiator=initiator, initiator_kwargs=initiator_kwargs)
resource_storage = aria.application_resource_storage(
filesystem_rapi.FileSystemResourceAPI,
api_kwargs=dict(directory=os.path.join(tmpdir, 'resources'))
)
service_id = topology(model_storage)
execution = models.create_execution(model_storage.service.get(service_id))
model_storage.execution.put(execution)
final_kwargs = dict(
name='simple_context',
model_storage=model_storage,
resource_storage=resource_storage,
service_id=service_id,
workflow_name=models.WORKFLOW_NAME,
execution_id=execution.id,
task_max_attempts=models.TASK_MAX_ATTEMPTS,
task_retry_interval=models.TASK_RETRY_INTERVAL
)
final_kwargs.update(context_kwargs or {})
return context.workflow.WorkflowContext(**final_kwargs)