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#
# ============LICENSE_START===================================================
# Copyright (c) 2018 Amdocs. All rights reserved.
# ===================================================================
# Licensed 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.
# ============LICENSE_END====================================================
#
from flask import Flask, request, jsonify
from flask_autodoc.autodoc import Autodoc
from aria import install_aria_extensions
from aria.cli.core import aria
from aria.utils import threading
from aria.orchestrator.workflow_runner import WorkflowRunner
from aria.orchestrator.workflows.executor.dry import DryExecutor
import util
version_id = "v0"
route_base = "/api/multicloud-azure/" + version_id + "/"
app = Flask("onap-aria-rest")
auto = Autodoc(app)
execution_state = util.SafeDict()
def main():
install_aria_extensions()
app.run(host='0.0.0.0', port=5000, threaded=True)
# start execution
@app.route(
route_base +
"services/<service_id>/executions/<workflow_name>",
methods=['POST'])
@auto.doc()
@aria.pass_model_storage
@aria.pass_resource_storage
@aria.pass_plugin_manager
@aria.pass_logger
def start_execution(
service_id,
workflow_name,
model_storage,
resource_storage,
plugin_manager,
logger):
"""
Start an execution for the specified service
"""
body = request.json or {}
executor = DryExecutor(
) if 'executor' in body and body['executor'] == 'dry' else None
inputs = body['inputs'] if 'inputs' in body else None
task_max_attempts = (body['task_max_attempts']
if 'task_max_attempts' in body else 30)
task_retry_interval = (body['task_retry_interval']
if 'task_retry_interval' in body else 30)
runner = WorkflowRunner(model_storage, resource_storage, plugin_manager,
service_id=service_id,
workflow_name=workflow_name,
inputs=inputs,
executor=executor,
task_max_attempts=task_max_attempts,
task_retry_interval=task_retry_interval)
service = model_storage.service.get(service_id)
tname = '{}_{}_{}'.format(service.name, workflow_name, runner.execution_id)
thread = threading.ExceptionThread(target=runner.execute,
name=tname)
thread.start()
execution_state[str(runner.execution_id)] = [runner, thread]
logger.info("execution {} started".format(runner.execution_id))
return jsonify({"id": runner.execution_id}), 202
if __name__ == "__main__":
app.run(host='0.0.0.0', port=5000, threaded=True)
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