def get_flow(context, db, driver, host, volume, ref):
"""Constructs and returns the manager entrypoint flow."""
flow_name = ACTION.replace(":", "_") + "_manager"
volume_flow = linear_flow.Flow(flow_name)
# This injects the initial starting flow values into the workflow so that
# the dependency order of the tasks provides/requires can be correctly
# determined.
create_what = {
'context': context,
'volume_ref': volume,
'manage_existing_ref': ref,
'optional_args': {
'is_quota_committed': False
}
}
volume_flow.add(
create_mgr.NotifyVolumeActionTask(db, "manage_existing.start"),
PrepareForQuotaReservationTask(db, driver),
create_api.QuotaReserveTask(), ManageExistingTask(db, driver),
create_api.QuotaCommitTask(),
create_mgr.CreateVolumeOnFinishTask(db, "manage_existing.end"))
# Now load (but do not run) the flow using the provided initial data.
return taskflow.engines.load(volume_flow, store=create_what)
def get_flow(scheduler_rpcapi, db_api, create_what):
"""Constructs and returns the api entrypoint flow.
This flow will do the following:
1. Inject keys & values for dependent tasks.
2. Extracts and validates the input keys & values.
3. Creates the database entry.
4. Casts to volume manager and scheduler for further processing.
"""
flow_name = ACTION.replace(":", "_") + "_api"
api_flow = linear_flow.Flow(flow_name)
# This will cast it out to either the scheduler or volume manager via
# the rpc apis provided.
api_flow.add(create_api.QuotaReserveTask(), EntryCreateTask(db_api),
create_api.QuotaCommitTask(),
ManageCastTask(scheduler_rpcapi, db_api))
# Now load (but do not run) the flow using the provided initial data.
return taskflow.engines.load(api_flow, store=create_what)
