def getModelStatus(modelID):
query_result = DelphiModel.query.filter_by(id=modelID).first()
if not query_result:
return jsonify(json.loads('{"status": "invalid model id"}'))
model = query_result.model
G = AnalysisGraph.deserialize_from_json_string(model, verbose=False)
response = json.loads(G.generate_create_model_response())
return jsonify(response)
def runExperiment(request, experiment_id, experiment_type, model, app):
G = AnalysisGraph.deserialize_from_json_string(model, verbose=False)
if experiment_type == "PROJECTION":
runProjectionExperiment(request, experiment_id, G, app)
elif experiment_type == "GOAL_OPTIMIZATION":
# Not yet implemented
pass
elif experiment_type == "SENSITIVITY_ANALYSIS":
# Not yet implemented
pass
elif experiment_type == "MODEL_VALIDATION":
# Not yet implemented
pass
elif experiment_type == "BACKCASTING":
# Not yet implemented
pass
else:
# Unknown experiment type
pass
def runExperiment(request, modelID, experiment_id):
request_body = request.get_json()
experiment_type = request_body["experimentType"]
query_result = DelphiModel.query.filter_by(id=modelID).first()
if not query_result:
# Model ID not in database. Should be an incorrect model ID
result = CauseMosAsyncExperimentResult.query.filter_by(
id=experiment_id).first()
result.status = "failed"
db.session.merge(result)
db.session.commit()
return
model = query_result.model
trained = json.loads(model)["trained"]
G = AnalysisGraph.deserialize_from_json_string(model, verbose=False)
if experiment_type == "PROJECTION":
runProjectionExperiment(request, modelID, experiment_id, G, trained)
elif experiment_type == "GOAL_OPTIMIZATION":
# Not yet implemented
pass
elif experiment_type == "SENSITIVITY_ANALYSIS":
# Not yet implemented
pass
elif experiment_type == "MODEL_VALIDATION":
# Not yet implemented
pass
elif experiment_type == "BACKCASTING":
# Not yet implemented
pass
else:
# Unknown experiment type
pass