def percentage_data():
percentage = request.args.get('percentage', '')
print("percent:", percentage)
dataloader = Dataloader.getInstance()
#dataloader.build_dataframes(False)
json_data = dataloader.get_percentage_data(int(percentage))
json_data = dataloader.append_alg_params(json_data)
return json_data
def graph_init():
interested_dataset = './data/crowds/students003.txt'
dataloader = Dataloader.getInstance()
dataloader.build_dataframes(True, 30)
json_data = dataloader.retrieve_df(interested_dataset)
dataloader.retrieved_dataset = interested_dataset
json_data = dataloader.append_alg_params(json_data)
return render_template("index.html", json_data=json_data)
def run_dbcsan():
pts = request.args.get('pts', '')
spatial = request.args.get('spatial', '')
temporal = request.args.get('temporal', '')
velocity = request.args.get('velocity', '')
percent = request.args.get('percent', '')
print("received: ", pts, spatial, temporal, velocity, percent)
dataloader = Dataloader.getInstance()
json_data = dataloader.run_dbscan_with_params(float(pts), float(spatial),
float(temporal),
float(velocity),
float(percent))
json_data = dataloader.append_alg_params(json_data)
return json_data
