def setup_spinnman_interfaces(self):
"""Set up the interfaces for communicating with the SpiNNaker board
"""
self.dao.set_hostname(self.hostname)
self.txrx = Transceiver(self.hostname)
# Start local tubotron if requested
if conf.config.getboolean("Visualiser", "enable"):
self.wait_for_run = conf.config.getboolean("Visualiser",
"pause_before_run")
if self.wait_for_run:
self.visualiser = Visualiser(self.dao,
start_simulation_method=getattr(
self, "run_now"))
else:
self.visualiser = Visualiser(self.dao)
self.visualiser.set_port(self.visualiser_port)
tubotron_port = conf.config.getint("Tubotron", "port")
tubotron_tag = conf.config.getint("Tubotron", "tag")
tubotron_host = conf.config.get("Tubotron", "hostname")
self.set_tag_output(tubotron_tag, tubotron_port, tubotron_host)
if conf.config.getboolean("Tubotron", "enable"):
if tubotron_host == "localhost":
self.tubotron = Tubotron(tubotron_port)
if conf.config.has_option("Tubotron", "leaveRunning"):
self.leaveTubotronRunning = conf.config.getboolean(
"Tubotron", "leaveRunning")
def trigger_page():
"""
Renders the trigger page. This page contains an instance of a TriggerForm.
The TriggerForm contains input fields for the simulation. If the submit
button is pressed, a simulation is triggered and the results are generated
using the Visualiser class. If all succeeds, forward to endpoint "visualise"
"""
form = TriggerForm()
# if the form is valid and the submit button was pressed
if form.validate_on_submit():
# get the static path from the current application to store the visualisations
static_path = os.path.join(current_app.root_path,
current_app.static_folder)
# clean up the previous simulation results
Cleaner().remove_previous_simulation_results(static_path=static_path)
# retrieve number of requests from the form
number_of_requests = form.number_of_requests_field.data
# Create an instance of the bounding box class, using the form data
bounding_box = BoundingBox((form.x1_field.data, form.y1_field.data,
form.x2_field.data, form.y2_field.data))
# Create an instance of the StaticDataReader class.
static_data = StaticDataReader(
berlin_bounds_file=current_app.config['BERLIN_BOUNDS_FILE'],
berlin_stops_file=current_app.config['BERLIN_STOPS_FILE'])
# Create an instance of the Simulator class.
simulator = Simulator(
bounding_box=bounding_box.bounding_box,
path_to_stops=current_app.config['BERLIN_STOPS_FILE'])
# Run a simulation
simulation_results = simulator.simulate(number_of_requests)
# Create an instance of the Visualiser class.
visualiser = Visualiser(bounding_box=bounding_box,
simulation_results=simulation_results,
static_path=static_path,
static_data=static_data)
# Generate visualisations
visualiser.generate_overview_figure()
visualiser.generate_closeup_figure()
visualiser.generate_gmap()
# redirect to the visualise endpoint
return redirect(
url_for('routes.visualise', visualiser_id=visualiser.id))
# render a template for the trigger page.
return render_template('trigger_page.html',
title="MI Code Challenge",
form=form)
def setUpClass(self):
"""
Sets up the class. The data only has to be read in once, so this is done in the class setup method.
"""
# TODO: Remove warn ngs filter when migrating to geopandas > 0.7.0 !
warnings.simplefilter('ignore', category=FutureWarning)
warnings.simplefilter('ignore', category=DeprecationWarning)
static_data = StaticDataReader('data/berlin_bounds.poly',
'data/berlin_stops.geojson')
bounding_box_tuple = (13.34014892578125, 52.52791908000258,
13.506317138671875, 52.562995039558004)
simulator = Simulator(bounding_box=bounding_box_tuple)
simulation_results = simulator.simulate(number_of_requests=6)
self.visualiser = Visualiser(
bounding_box=BoundingBox(bounding_box_tuple),
simulation_results=simulation_results,
static_data=static_data,
static_path='webapp/static')
