def handle_arrive(event):
global vars, hubs
aircraft = event.sender
# Temporarily use one model for everything
model = copy.deepcopy(config.model)
# Also calculate the direct distance
segment = Segment(aircraft.origin, aircraft.destination)
direct = segment.get_length()
#direct = 3193 #temp overwrite for validation
p('validate', 'Distance direct for %s is %dNM' % (
aircraft, direct
))
p('validate', 'Getting the benchmark fuel')
vars['distance_direct'] += direct
vars['fuel_direct'] += get_fuel_burned_during_cruise(direct, model)
p('validate', 'OK, we have the benchmark fuel now')
hub = aircraft.hub
assert hub in config.hubs
# Sometimes (especially with very low Z and high L) aircraft are excluded
# from formation flight due to the origin being within the lock area.
if hasattr(aircraft, 'is_excluded') and aircraft.is_excluded:
vars['distance_solo'] += direct
vars['fuel_actual'] += get_fuel_burned_during_cruise(direct, model)
return
#key = 'flight_count_%s' % hub
#if key not in vars:
# vars[key] = 0
#vars[key] = vars[key] + 1
# Aircraft always fly solo to the hub
segment = Segment(aircraft.origin, hub)
origin_to_hub = segment.get_length()
p('Distance origin_to_hub for %s is %dNM' % (
aircraft,
origin_to_hub
))
vars['distance_solo'] += origin_to_hub
# If in formation
if hasattr(aircraft, 'formation'):
segment = Segment(hub, aircraft.hookoff_point)
hub_to_hookoff = segment.get_length()
p('Distance hub_to_hookoff for %s is %dNM' % (
aircraft,
hub_to_hookoff
))
vars['distance_formation'] += hub_to_hookoff
segment = Segment(aircraft.hookoff_point, aircraft.destination)
hookoff_to_destination = segment.get_length()
p('Distance hookoff_to_destination for %s is %dNM' % (
aircraft,
hookoff_to_destination
))
vars['distance_solo'] += hookoff_to_destination
# Collect all hub delays
# The calibration aircraft was never delayed
if hasattr(aircraft, 'hub_delay'):
vars['hub_delay_sum'] = vars['hub_delay_sum'] +\
aircraft.hub_delay
if aircraft.incurs_benefits:
discount = config.alpha
else:
discount = 0
p('validate', 'Discount = %s for %s' % (discount, aircraft))
fuel_formation = formationburn(
int(origin_to_hub),
int(hub_to_hookoff),
int(hookoff_to_destination),
model = model,
discount = discount
)
p('validate', 'Fuel burn formation = %d for %s' % (
fuel_formation, aircraft
))
vars['fuel_actual'] += fuel_formation
# If fully solo
else:
p('validate', 'Discount = false for %s' % (aircraft))
segment = Segment(hub, aircraft.destination)
hub_to_destination = segment.get_length()
p('Distance hub_to_destination for %s is %dNM' % (
aircraft,
hub_to_destination
))
vars['distance_solo'] += hub_to_destination
fuel_solo = get_fuel_burned_during_cruise(
origin_to_hub + hub_to_destination,
model = model,
)
p('validate', 'Fuel burn solo = %d for %s' % (
fuel_solo, aircraft
))
vars['fuel_actual'] += fuel_solo
def handle_arrive(event):
global vars, hubs
aircraft = event.sender
# Temporarily use one model for everything
model = copy.deepcopy(config.model)
# Also calculate the direct distance
segment = Segment(aircraft.origin, aircraft.destination)
direct = segment.get_length()
#direct = 3193 #temp overwrite for validation
p('validate', 'Distance direct for %s is %dNM' % (aircraft, direct))
p('validate', 'Getting the benchmark fuel')
vars['distance_direct'] += direct
vars['fuel_direct'] += get_fuel_burned_during_cruise(direct, model)
p('validate', 'OK, we have the benchmark fuel now')
hub = aircraft.hub
assert hub in config.hubs
# Sometimes (especially with very low Z and high L) aircraft are excluded
# from formation flight due to the origin being within the lock area.
if hasattr(aircraft, 'is_excluded') and aircraft.is_excluded:
vars['distance_solo'] += direct
vars['fuel_actual'] += get_fuel_burned_during_cruise(direct, model)
return
#key = 'flight_count_%s' % hub
#if key not in vars:
# vars[key] = 0
#vars[key] = vars[key] + 1
# Aircraft always fly solo to the hub
segment = Segment(aircraft.origin, hub)
origin_to_hub = segment.get_length()
p('Distance origin_to_hub for %s is %dNM' % (aircraft, origin_to_hub))
vars['distance_solo'] += origin_to_hub
# If in formation
if hasattr(aircraft, 'formation'):
segment = Segment(hub, aircraft.hookoff_point)
hub_to_hookoff = segment.get_length()
p('Distance hub_to_hookoff for %s is %dNM' %
(aircraft, hub_to_hookoff))
vars['distance_formation'] += hub_to_hookoff
segment = Segment(aircraft.hookoff_point, aircraft.destination)
hookoff_to_destination = segment.get_length()
p('Distance hookoff_to_destination for %s is %dNM' %
(aircraft, hookoff_to_destination))
vars['distance_solo'] += hookoff_to_destination
# Collect all hub delays
# The calibration aircraft was never delayed
if hasattr(aircraft, 'hub_delay'):
vars['hub_delay_sum'] = vars['hub_delay_sum'] +\
aircraft.hub_delay
if aircraft.incurs_benefits:
discount = config.alpha
else:
discount = 0
p('validate', 'Discount = %s for %s' % (discount, aircraft))
fuel_formation = formationburn(int(origin_to_hub),
int(hub_to_hookoff),
int(hookoff_to_destination),
model=model,
discount=discount)
p('validate',
'Fuel burn formation = %d for %s' % (fuel_formation, aircraft))
vars['fuel_actual'] += fuel_formation
# If fully solo
else:
p('validate', 'Discount = false for %s' % (aircraft))
segment = Segment(hub, aircraft.destination)
hub_to_destination = segment.get_length()
p('Distance hub_to_destination for %s is %dNM' %
(aircraft, hub_to_destination))
vars['distance_solo'] += hub_to_destination
fuel_solo = get_fuel_burned_during_cruise(
origin_to_hub + hub_to_destination,
model=model,
)
p('validate', 'Fuel burn solo = %d for %s' % (fuel_solo, aircraft))
vars['fuel_actual'] += fuel_solo
incurs_benefit = False
for i in range(0, vars['formation_size']):
model = copy.deepcopy(model)
if incurs_benefit is True:
discount = .13
else:
discount = 0
vars['fuel_formation'] += (
formationburn(
vars['origin_to_hub'],
vars['hub_to_hookoff'],
vars['hookoff_to_destination'],
model, discount
)
)
incurs_benefit = True
vars['fuel_saved'] = vars['fuel_benchmark'] - vars['fuel_formation']
vars['fuel_saved_rel'] = (
vars['fuel_saved'] / vars['fuel_benchmark']
)
print_dictionary(vars)
vars['fuel_benchmark'] = 0
vars['fuel_formation'] = 0
p('validate', 'Getting the benchmark fuel')
vars['fuel_benchmark'] = vars['formation_size'] *\
get_fuel_burned_during_cruise(vars['origin_to_destination'], model)
p('validate', 'OK, we have the benchmark fuel now')
incurs_benefit = False
for i in range(0, vars['formation_size']):
model = copy.deepcopy(model)
if incurs_benefit is True:
discount = .13
else:
discount = 0
vars['fuel_formation'] += (formationburn(vars['origin_to_hub'],
vars['hub_to_hookoff'],
vars['hookoff_to_destination'],
model, discount))
incurs_benefit = True
vars['fuel_saved'] = vars['fuel_benchmark'] - vars['fuel_formation']
vars['fuel_saved_rel'] = (vars['fuel_saved'] / vars['fuel_benchmark'])
print_dictionary(vars)
