def __init__(self, flask_app, logger):
self.app = flask_app
self.log = logger
self.api = Api(self.app)
self.appinsights = AppInsights(self.app)
self.is_terminating = False
self.func_properties = {}
self.func_request_counts = {}
self.api_prefix = getenv('API_PREFIX')
self.api_task_manager = TaskManager()
signal.signal(signal.SIGINT, self.initialize_term)
# Add health check endpoint
self.app.add_url_rule(self.api_prefix + '/',
view_func=self.health_check,
methods=['GET'])
print("Adding url rule: " + self.api_prefix + '/')
# Add task endpoint
self.api.add_resource(
Task,
self.api_prefix + '/task/<int:id>',
resource_class_kwargs={'task_manager': self.api_task_manager})
print("Adding url rule: " + self.api_prefix + '/task/<int:taskId>')
self.app.before_request(self.before_request)
from flask_restful import Api
from task_management.api_task import ApiTaskManager
import api_config
import orchestrator
from sas_blob_utils import SasBlob
print('Creating application')
api_prefix = os.getenv('API_PREFIX')
print('API prefix: ', api_prefix)
app = Flask(__name__)
api = Api(app)
# Log requests, traces and exceptions to the Application Insights service
appinsights = AppInsights(app)
# Use the AI4EAppInsights library to send log messages.
log = AI4EAppInsights()
# Use the internal-container AI for Earth Task Manager (not for production use!).
api_task_manager = ApiTaskManager(flask_api=api, resource_prefix=api_prefix)
# Use the AI4EWrapper to executes your functions within a logging trace.
# Also, helps support long-running/async functions.
ai4e_wrapper = AI4EWrapper(app)
# Instantiate blob storage service to the internal container to put intermediate results and files
storage_account_name = os.getenv('STORAGE_ACCOUNT_NAME')
storage_account_key = os.getenv('STORAGE_ACCOUNT_KEY')
internal_storage_service = BlockBlobService(account_name=storage_account_name, account_key=storage_account_key)