def EcoCartographer(args):
'''Main function. Returns routes objects and saves files.'''
start_time = time.time()
#prepare files
util.mkdir(args['id'])
Console = ecio.Console(args['id'] + '/console.html')
start, success = Geocoder.geocode(args['start'], Console, 1, 2, 0)
if not success:
ecio.WriteFail(args['id'] + '/output.json')
return False
end, success = Geocoder.geocode(args['end'], Console, 2, 2, 0)
if not success:
ecio.WriteFail(args['id'] + '/output.json')
return False
vehicle = Vehicle(mass=args['mass'],
drag_coefficient=args['cd'],
area=args['area'],
displacement=args['disp'])
#generate pts and references
'''Update shape of network generation'''
pts, bounds, recom, success = GetPoints(start, end, Console)
if not success:
ecio.WriteFail(args['id'] + '/output.json')
return False
references = References(pts, Console)
#get Overpass API data
'''pts = Overpasser.overpass(pts, references, bounds, Console)'''
#moved later on after elev_refs and interpol_refs were calculated to reduce number of refs to sift through
#generate original intersections, without filtering based on connections
intind = OriginalIntersections(pts, Console)
net = IntersectionsJoin(pts, intind, Console)
intersections = IntersectionsBuild(net, pts, Console)
#calculate likely routes through intersections
routes = OptimalDistance(intersections, Console)
#filter intersections by being in calculated intersections already
intsInRange = util.uniquify(
util.flatten(map(lambda a: a[0], routes))
) #makes list of intersections within reasonable distance to start/end
ultimate_trim = sorted(
util.flatten(
map(lambda a: intersections[a].references[0].references,
intsInRange))) #points included in intersections
final_inter = IntersectionsBuild(
IntersectionsJoin(pts, ultimate_trim, Console), pts, Console)
'''final_refs = ValidReferences(final_inter)'''
#get elevation data of relevant pts
'''Add in support for interpolation'''
elev_refs, interpol_refs = Elevator.getInterpolations(
routes, final_inter, Console)
final_refs = elev_refs + [ref for ref, ref1, ref2 in interpol_refs]
ref_chunks = Overpasser.chunk(pts, final_refs)
pts = Overpasser.overpass(pts, final_refs, ref_chunks, bounds, Console)
pts, elev_queries, success = Elevator.elevation(pts, elev_refs,
interpol_refs, Console)
if not success:
ecio.WriteFail(args['id'] + '/output.json')
return False
#calculate energy requirements
ComputeEnergy(final_inter, vehicle)
routes_force = OptimalEnergyInitial(final_inter, routes, args['routes'],
Console)
recalc = OptimalEnergyDetailed(final_inter, routes_force, vehicle,
args['routes'], Console)
recom = Path(recom, vehicle)
#make instructions
for route in recalc:
route.getInstructions(vehicle)
#output instructions to files
'''Output to JSON and HTML'''
ecio.JSON(args['id'] + '/output.json', recalc, recom)
ecio.HTML(args['id'] + '/output.html', recalc, recom)
Console.add('Finished', error=': ' + str(time.time() - start_time))
return recalc, recom #final routes
args = {
'start': '6936 Millbridge Road, Clemmons, NC',
'end': '330 Knollwood Street, NC',
'mass': 1500,
'cd': 0.35,
'area': 3.0,
'disp': 0.002,
'routes': 10,
'id': '../routes/' + input('path (remember: string!): ')
}
start_time = time.time()
#prepare files
util.mkdir(args['id'])
Console = ecio.Console(args['id'] + '/console.html')
start, success = Geocoder.geocode(args['start'], Console, 1, 2, 0)
end, success = Geocoder.geocode(args['end'], Console, 2, 2, 0)
vehicle = Vehicle(mass=args['mass'],
drag_coefficient=args['cd'],
area=args['area'],
displacement=args['disp'])
#generate pts and references
'''Update shape of network generation'''
pts, bounds, recom, success = GetPoints(start, end, Console)
references = References(pts, Console)
#get Overpass API data
'''pts = Overpasser.overpass(pts, references, bounds, Console)'''