def monitoring():
from sqlalchemy import distinct, func
from dallinger.experiment_server.experiment_server import Experiment, session
from dallinger.models import Network
exp = Experiment(session)
panes = exp.monitoring_panels(**request.args.to_dict(flat=False))
network_structure = exp.network_structure(**request.args.to_dict(
flat=False))
vis_options = exp.node_visualization_options()
net_roles = (session.query(Network.role, func.count(
Network.role)).group_by(Network.role).order_by(Network.role).all())
net_ids = [
i[0] for i in session.query(distinct(Network.id)).order_by(
Network.id).all()
]
return render_template(
"dashboard_monitor.html",
title="Experiment Monitoring",
panes=panes,
network_structure=json.dumps(network_structure, default=date_handler),
net_roles=net_roles,
net_ids=net_ids,
vis_options=json.dumps(vis_options),
)
def test_network_structure(self, a, db_session):
from dallinger.experiment_server.experiment_server import Experiment
from dallinger.models import Network
exp = Experiment(db_session)
network = Network.query.all()[0]
network_structure = exp.network_structure()
assert len(network_structure["networks"]) == 1
assert network_structure["networks"][0]["id"] == network.id
assert network_structure["networks"][0]["role"] == network.role
assert len(network_structure["nodes"]) == 0
assert len(network_structure["vectors"]) == 0
assert len(network_structure["infos"]) == 0
assert len(network_structure["participants"]) == 0
assert len(network_structure["trans"]) == 0
source = a.source(network=network)
network_structure = exp.network_structure()
assert len(network_structure["nodes"]) == 1
assert network_structure["nodes"][0]["type"] == source.type
# Transformations are not included by default
info1 = a.info(origin=source, contents="contents1")
info2 = a.info(origin=source, contents="contents2")
a.transformation(info_in=info1, info_out=info2)
network_structure = exp.network_structure()
assert len(network_structure["nodes"]) == 1
assert len(network_structure["infos"]) == 2
assert len(network_structure["trans"]) == 0
network_structure = exp.network_structure(transformations="on")
assert len(network_structure["trans"]) == 1