def doItAll(region):
if Regions.isRegion(region):
cmd = shlex.split( command %( Env.mtcwDir, "BatchRegionTiler.py", region) )
subprocess.Popen(cmd).wait()
cmd = shlex.split( command %( Env.mtcwDir, "BatchRegionMerger.py", region) )
subprocess.Popen(cmd).wait()
if len(Regions.getRegionFilterList(region)) == len(open(Env.mergedTileDir+region+"/mergeorder.txt").readlines()):
cmd = shlex.split( command %( Env.mtcwDir, "BatchRegionOptimizer.py", region) )
subprocess.Popen(cmd).wait()
cmd = shlex.split( command %( Env.mtcwDir, "AutoGemf.py", region) )
subprocess.Popen(cmd).wait()
if os.path.isdir(Env.mergedTileDir+region):
shutil.rmtree(Env.mergedTileDir+region)
if os.path.isdir(Env.mergedTileDir+region+".opt"):
shutil.rmtree(Env.mergedTileDir+region+".opt")
cmd = shlex.split( command %( Env.mtcwDir, "GenerateMxRegionData.py", region) )
subprocess.Popen(cmd).wait()
else:
print len(Regions.getRegionFilterList(region))
print len(open(Env.mergedTileDir+region+"/mergeorder.txt").readlines())
print "an error occurred"
def generateRegion(region):
#fisrt lets see if the gemf is there
print "generating data for " + region
filter = Regions.getRegionFilterList(region)
bo = BsbOutlines.BsbOutlines(Env.bsbDir, filter)
xmlFname = region+".xml"
xmlPath = Env.gemfDir+"/"+xmlFname
zxmlPath = Env.gemfDir+"/"+region+".zxml"
xml = XMLWriter(codecs.open(xmlPath, "w", "utf-8"))
zxml = zipfile.ZipFile(zxmlPath, "w", zipfile.ZIP_DEFLATED)
gemfFile = Env.gemfDir+region+".gemf"
xml.start("rml", version='1.0')
xml.start("region", description=Regions.getRegionDescription(region), bytes = str(os.path.getsize(gemfFile)))
for kapfile in bo.getkeys():
xml.start("chart", file=kapfile, name=bo.getname(kapfile), scale=str(bo.getscale(kapfile)), depths=bo.getdepthunits(kapfile), zoom=str(bo.getzoom(kapfile)));
xml.data(bo.getoutline(kapfile))
xml.end("chart")
xml.end("region")
xml.end("rml")
xml.close(1)
cmd = "tidy -xml -imq " + xmlPath
os.popen(cmd)
zxml.write(xmlPath, xmlFname)
os.remove(xmlPath)
zxml.close()
def generateRegion(region):
#fisrt lets see if the gemf is there
print "generating data for " + region
filter = Regions.getRegionFilterList(region)
bo = BsbOutlines.BsbOutlines(Env.bsbDir, filter)
# bsbScales = BsbScales(Env.bsbDir, filter)
# sortList = bsbScales.getKapsSortedByScale()
# sortList.reverse()
# mergeorder = ""
# for item in sortList:
# mergeorder += item + ":"
# mergeorder.rstrip(":")
sqlFname = region+".sql"
sqlPath = Env.gemfDir+"/"+sqlFname
zdatPath = Env.gemfDir+"/"+region+".zdat"
sqlf = codecs.open(sqlPath, "w", "utf-8")
zdat = zipfile.ZipFile(zdatPath, "w", zipfile.ZIP_DEFLATED)
#sqlf = open(Env.gemfDir+"/"+region+".bin", "wb")
wrt = u"--MXMARINER-DBVERSION:3\n"
#zdat.writestr( sqlFname, wrt)
sqlf.write( wrt )
if (custom):
gemfFile = Env.gemfDir+region+".gemf"
if not os.path.isfile(gemfFile):
print "gemf not ready:" + region
sys.exit()
else:
bytes = os.path.getsize(gemfFile)
wrt = strcustom0 %(region)
sqlf.write( wrt )
#zdat.writestr( sqlFname, wrt)
#[name], [description], [image], [size], [installeddate]
wrt = strcustom1 %(region, Regions.getRegionDescription(region), region.lower().replace("_", ""), bytes, epoch)
sqlf.write( wrt )
#zdat.writestr( sqlFname, wrt)
else:
#wrt = str0 %(epoch, mergeorder, region)
wrt = str0 %(epoch, region)
sqlf.write( wrt )
#zdat.writestr( sqlFname, wrt)
wrt = str1 %(region)
sqlf.write( wrt )
#zdat.writestr( sqlFname, wrt)
for kapfile in bo.getkeys():
wrt = str2 %(region, kapfile, bo.getname(kapfile), bo.getupdated(kapfile), bo.getscale(kapfile), \
bo.getoutline(kapfile), bo.getdepthunits(kapfile), bo.getzoom(kapfile));
sqlf.write( wrt )
#zdat.writestr( sqlFname, wrt)
sqlf.close()
zdat.write(sqlPath, sqlFname)
os.remove(sqlPath)
zdat.close()
def renderRegion(region):
mFilter = Regions.getRegionFilterList(region)
#print mFilter
tileDir = Regions.getRegionUnMergedTileDir(region)
bsbDir = Regions.getRegionBsbDir(region)
if mFilter != None:
createTiles(bsbDir, tileDir, region, mFilter)
else:
print region + " does not exist"
def mainmenu():
program_run = True
#Display Menu
while program_run == True:
print("\nOffice Solutions Data Analytics" +
"\nPlease make a selection from the menu below:")
print("\n\tMain Menu:" +
"\n\t1 - Most Profitable Products" +
"\n\t2 - Least Profitable Products" +
"\n\t3 - Region Insights" +
"\n\t4 - Sub-Category Insights" +
"\n\t5 - State Insights" +
"\n\t6 - Top Customers" +
"\n\t7 - Add New Employee" +
"\n\t8 - Exit")
selected = input("Choose a menu #: ").lower().strip()
#Menu Item selected
if selected == "1":
# Opens Most Profitable PRoducts
Profits_Top.top_ten()
elif selected == "2":
# Opens Second Insight Code
Profits_Bottom.bottom_ten()
elif selected == "3":
# Opens Region Insights
Regions.menu()
elif selected == "4":
# Opens Sub-Category Insights
Category.menu()
elif selected == "5":
# Opens State Insights
States.menu()
elif selected == "6":
# Opens Top Customer Insights
Top_Customers.top_customers()
elif selected == "7":
#Opens Add New Employee Code
New_Employee.add_employee()
pause()
elif selected == "8" or selected == "exit":
# Exits Loop (and Program)
program_run = False
else:
print("'" + selected + "' is not a valid menu selection. " +
"Please enter a numerical value from 1-8.\n")
pause()
def doTile2(self, kapPath, log, regiondir):
header_override = Env.mtcwDir+"header_overrides/NOAA/"+os.path.basename(kapPath)[0:-4]
if Regions._isNOAARegion(self.region) and os.path.isfile(header_override):
override = CreateHeaderOverride.makeHeader(kapPath)
command = "python %smap2gdal.py -q --header-file %s %s" %(Env.tilersToolsDir, override, kapPath)
else:
command = "python %smap2gdal.py -q %s" %(Env.tilersToolsDir, kapPath)
print command
thisone = subprocess.Popen(shlex.split(command), stdout=log)
thisone.wait()
#kstz = KapScaleToZoom(kapPath)
vrtPath = kapPath[0:-4]+".vrt"
#vrtPath = kapPath.rstrip(".KAP")+".vrt"
print vrtPath, "\n"
if os.path.isfile(vrtPath):
command = "python %sgdal_tiler.py --overview-resampling=bilinear --base-resampling=bilinear -t " %(Env.tilersToolsDir) + regiondir + \
" -c " + vrtPath + " -z " + str(getKapZoom(kapPath))
destdir = regiondir + "/" + os.path.basename(kapPath)[0:-4]+".zxy"
#print destdir
if not os.path.isdir(destdir):
print command
thisone = subprocess.Popen(shlex.split(command), stdout=log)
thisone.wait()
else:
print "this chart has already been tiled"
else:
print "Something went wrong creating vrt from: " + kapPath
sys.exit()
def FetchByRegionCode(code):
"""
Fetch all the shop records that belong to the region specified by the region code. This is a common use-case internally
within Oxfam.
Args:
code: string, the region code
Returns:
A list of dicts containing all the shop records that belong to the specified region (area).
"""
result = None
# While we could just do this in one SQL statement, we're going to use the Regions module so that the code is more robust.
# This can be changed if required when we look at optimization.
region = Regions.FetchByCode(code)
if region is not None:
try:
Log.info(('SHOPS-Fetch-RegionCode:',
'Trying to grab data using regionCode/Id '))
query = "SELECT * FROM shop WHERE region_id = %s;"
db.cursor.execute(query, (region["id"], ))
result = db.cursor.fetchall()
Log.info(('SHOPS-Fetch-RegionCode:', 'Successfully grabbed data'))
except Error as e:
Log.error(('SHOPS-Fetch-RegionCode', e))
Log.info(('SHOPS-Fetch-RegionCode:Querry:', query))
Log.info(('SHOPS-Fetch-RegionCode:', 'Failed to grab data'))
return result
def optimizeRegion(region):
optDir = Regions.getRegionMergedTileDir(region)
if os.path.isdir(optDir):
command = "python %stiles_opt.py %s" % (Env.tilersToolsDir, optDir)
print command
thisone = subprocess.Popen(shlex.split(command))
thisone.wait()
else:
print "Region tiles don't exist... run BatchRegionMerger.py first"
def one_frame(frame, one_number, count, h):
state, really_number, number, cords, zone = ModelDetect.detect_number(
frame)
found_really_number = False # means that we found number and it's really
if state:
for c in cords:
pts = np.array(c, np.int32)
pts = pts.reshape((-1, 1, 2))
cv2.polylines(frame, [pts], True, Blue, 2)
if really_number:
one_number.extend(
number) # список номеров для текущей одной машины
found_really_number = True
cv2.putText(frame, str(number), (20, h - 30),
cv2.FONT_HERSHEY_SIMPLEX, 1, Blue, 2)
log.debug(" Found REALLY number %s" % str(number))
else:
cv2.putText(frame, str(number), (20, h - 30),
cv2.FONT_HERSHEY_SIMPLEX, 1, LightSkyBlue, 2)
log.debug(" Found NOT REALLY number %s" % str(number))
count = 0
else:
count += 1
car_number = 'no'
if count < CADRS_TO_FIND_NEW_CAR:
log.debug(' ONE_NUMBER is %s' % str(one_number))
if len(one_number) >= MIN_CADRS_TO_DETECT:
flag_new_car = 'ENOUGH_FRAMES_FOR_RECOGNITION'
car_number = WrongNumbers.choose_number(one_number)
reg = Regions.which_regions(car_number)
font = ImageFont.truetype(FONT, 32)
img_pil = Image.fromarray(frame)
draw = ImageDraw.Draw(img_pil)
draw.text((20, h - 150), str(reg), font=font,
fill=Red) # fill=(0, 0, 255, 0)
frame = np.array(img_pil)
cv2.putText(frame, str(car_number), (20, h - 80),
cv2.FONT_HERSHEY_SIMPLEX, 1, Red, 2)
else:
flag_new_car = 'NOT_ENOUGH_FRAMES_FOR_RECOGNITION'
elif count == CADRS_TO_FIND_NEW_CAR and len(
one_number) >= MIN_CADRS_TO_DETECT:
car_number = WrongNumbers.choose_number(one_number)
flag_new_car = 'ENDING_FIND_THIS_CAR' # and begin find new car
one_number.clear()
else:
one_number.clear()
flag_new_car = 'NO_CARS'
return found_really_number, frame, car_number, count, one_number, flag_new_car, zone
def createGemf(region):
directory = Regions.getRegionMergedTileDir(region) + ".opt"
if not os.path.isdir(directory):
print "Region not ready... run BatchRegionOptimizer first"
sys.exit()
if not os.path.isdir(directory + "/gemf"):
os.mkdir(directory + "/gemf")
if os.path.isdir(directory + "/merge"):
shutil.move(directory + "/merge", directory + "/gemf")
else:
print "you need to merge files first!"
sys.exit()
logfile = directory + "/gemflog.txt"
log = open(logfile, "wb")
command = "python %s/generate_efficient_map_file.py %s" % (Env.tilersToolsDir, directory + "/gemf")
print "creating gemf..."
print command
thisone = subprocess.Popen(shlex.split(command), stdout=log)
thisone.wait()
log.close()
os.rename(directory + "/gemf/map_data.gemf", Env.gemfDir + region + ".gemf")
def mergeRegion(region):
print "merging: " + region
mergeTiles(Regions.getRegionMergedTileDir(region), Regions.getRegionBsbDir(region), \
Regions.getRegionUnMergedTileDir(region), Regions.getRegionFilterList(region))
import collections
import logging.config
import Regions
regions_numbers = Regions.load_regions()
all_regions = regions_numbers.keys()
logging.config.fileConfig('logging.ini', disable_existing_loggers=False)
log = logging.getLogger(__name__)
def check(num): # check one number. It works on cars and lories
tmp = list(num)
if len(tmp) == 8 or len(tmp) == 9:
tmp_num = tmp[1:4]
tmp_region = tmp[6:]
tmp_literal = [tmp[0]]
tmp_literal.extend(tmp[4:6])
tmp_num = ''.join(map(str, tmp_num)) # должно быть числом
tmp_region = ''.join(map(str, tmp_region)) # должно быть числом
tmp_literal = ''.join(map(str, tmp_literal)) # должно быть буквами
tmp_lit_truck = tmp[0:2]
tmp_num_truck = tmp[2:6]
tmp_lit_truck = ''.join(map(str, tmp_lit_truck)) # должно быть числом
tmp_num_truck = ''.join(map(str, tmp_num_truck)) # должно быть буквами
if (tmp_num.isdigit() and tmp_literal.isalpha() and tmp_region.isdigit()) or (
tmp_lit_truck.isalpha() and tmp_num_truck.isdigit()):
if tmp_region in all_regions:
return True
bo.getoutline(kapfile), bo.getdepthunits(kapfile), bo.getzoom(kapfile));
sqlf.write( wrt )
#zdat.writestr( sqlFname, wrt)
sqlf.close()
zdat.write(sqlPath, sqlFname)
os.remove(sqlPath)
zdat.close()
# rootlen = len(target_dir) + 1
# zdat.write(sqlPath, compress_type)
# zdat.write(fn, fn[rootlen:])
if __name__== "__main__":
if not sys.argv.__len__() == 2:
print "You must supply a region:"
Regions.printRegionList()
#print "Or you can also do: ALL_NGA, ALL_NOAA, or PRINTARRAY"
sys.exit()
else:
arg = sys.argv[1]
if arg == "ALL_NOAA":
generateNOAA()
elif arg == "ALL_NGA":
print "not yet implemented"
elif Regions.isRegion(arg):
generateRegion(arg)
elif arg== "UPDATE":
generateUpdate();
else:
print "invalid argument", arg
subprocess.Popen(cmd).wait()
if len(Regions.getRegionFilterList(region)) == len(open(Env.mergedTileDir+region+"/mergeorder.txt").readlines()):
cmd = shlex.split( command %( Env.mtcwDir, "BatchRegionOptimizer.py", region) )
subprocess.Popen(cmd).wait()
cmd = shlex.split( command %( Env.mtcwDir, "AutoGemf.py", region) )
subprocess.Popen(cmd).wait()
if os.path.isdir(Env.mergedTileDir+region):
shutil.rmtree(Env.mergedTileDir+region)
if os.path.isdir(Env.mergedTileDir+region+".opt"):
shutil.rmtree(Env.mergedTileDir+region+".opt")
cmd = shlex.split( command %( Env.mtcwDir, "GenerateMxRegionData.py", region) )
subprocess.Popen(cmd).wait()
else:
print len(Regions.getRegionFilterList(region))
print len(open(Env.mergedTileDir+region+"/mergeorder.txt").readlines())
print "an error occurred"
if __name__== "__main__":
if not sys.argv.__len__() == 2:
print "You must supply a region:"
Regions.printRegionList()
sys.exit()
else:
doItAll(sys.argv[1])
import sys
# specify the path to nomeroff-net
NOMEROFF_NET_DIR = os.path.abspath('../nomeroff-net/')
sys.path.append(NOMEROFF_NET_DIR) # add path to search modules
from NomeroffNet import RectDetector, TextDetector, OptionsDetector, \
Detector, textPostprocessing
import Regions
import WrongNumbers
logging.config.fileConfig('logging.ini', disable_existing_loggers=False)
log = logging.getLogger(__name__)
all_regions = Regions.load_regions()
rectDetector = RectDetector()
optionsDetector = OptionsDetector()
optionsDetector.load("latest")
# Initialize text detector.
textDetector = TextDetector({
"eu_ua_2004_2015": {
"for_regions": ["eu_ua_2015", "eu_ua_2004"],
"model_path": "latest"
},
"eu_ua_1995": {
"for_regions": ["eu_ua_1995"],
"model_path": "latest"
def main(assign_int,
relocat_int,
t_max,
time_step,
opt_method,
relocate_method,
veh_speed,
i_date,
taxi=False,
xyt_string="NULL",
visualize=False,
false_forecast_f=None):
# Comment FD:
# this part assumes 'i_run' is given in iso format, e.g. 2016-04-01
# this is necessary to use the correct forecasts
# Response MH:
# Works for me
if relocate_method != "NULL":
(sim_year, sim_month, sim_day) = [int(x) for x in i_date.split("-")]
week = [
"Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday",
"Sunday"
]
date = datetime.datetime(sim_year, sim_month, sim_day)
day_number = date.weekday()
weekday = week[day_number]
##################################################################################################
# Input Information - Customer Demand
##################################################################################################
# read in information about all customers
if taxi:
# file_str = "../Inputs/Taxi_Demand_Day" + str(i_run) + "_Sample.csv"
file_str = "../Inputs/NYC_Taxi/Request_Data/" + str(
i_date) + "__manhattan_yellow_taxi_requests_10percent.csv"
else:
file_str = "../Inputs/Artificial/Demand_Requests.csv"
demand_file = open(file_str, 'r')
demand_reader = csv.reader(demand_file)
customers = []
count = 0
for i_row in demand_reader:
count += 1
if count > 1:
person_id = int(i_row[0])
request_time = int(i_row[1])
pick_x = float(i_row[2])
pick_y = float(i_row[3])
drop_x = float(i_row[4])
drop_y = float(i_row[5])
grp_size = int(i_row[6])
customers.append(
Person.make_person(person_id, pick_x, pick_y, request_time,
drop_x, drop_y, grp_size))
##################################################################################################
# Input Information - AV Initial Positions
##################################################################################################
# read in information about all AVs
if taxi:
file_str2 = "../Inputs/Artificial/Vehicles_Taxi.csv"
else:
file_str2 = "../Inputs/Artificial/Vehicles_Taxi.csv"
veh_file = open(file_str2, 'r')
vehicle_reader = csv.reader(veh_file)
av_fleet = []
cnt = 0
for j_row in vehicle_reader:
cnt += 1
if cnt > 1:
vehicle_id = int(j_row[0])
start_x = float(j_row[1])
start_y = float(j_row[2])
capacity = int(j_row[3])
veh_status = "idle"
av_fleet.append(
Vehicle.make_vehicle(vehicle_id, start_x, start_y, capacity,
veh_status))
##################################################################################################
# Input Information - Regions/subAreas
##################################################################################################
# Dandl
############
# create a list with all sub_area objects
# and/or create a list with all subArea-time periods
# it seems like you might already be reading in the files in Regions, but still need a list of all sub_area objects
############
# Comment FD: the idea is that the main area class does all the work and returns dictionaries for
# 1) demand forecast
# 2) vehicle availability
# with the subarea_key as key of the respective dictionary and the respective quantity as value
# the respective destination centers can be called by
# area.sub_areas[subarea_key].relocation_destination
#
# read information of area depending on
# a) xyt_string
# b) false_forecast_f [optional, if not given, the real forecast value will be read]
# format of xyt_string: 2x_8y_5min
# format of xy_string: 2x_8y
if relocate_method != "NULL":
xy_string = "_".join(xyt_string.split("_")[:2])
prediction_csv_file = "../Inputs/NYC_Taxi/Prediction_Data/prediction_areas_{0}.csv".format(
xy_string)
# region_csv_file = "prediction_areas_{0}.csv".format(xy_string)
if false_forecast_f:
region_csv_file = false_forecast_f
else:
region_csv_file = "../Inputs/NYC_Taxi/Prediction_Data/manhattan_trip_patterns_{0}_only_predictions.csv".format(
xyt_string)
relocation_destination_f = "../Inputs/NYC_Taxi/Prediction_Data/demand_center_points_{0}.csv".format(
xy_string)
area = Regions.Area(region_csv_file, prediction_csv_file,
relocation_destination_f)
# Comment MH:
# This is gonna work great, I think! Thanks!
if visualize:
file_string = '../Results_Rev2/visualize.csv'
csv_viz = open(file_string, 'w')
viz_writer = csv.writer(csv_viz,
lineterminator='\n',
delimiter=',',
quotechar='"',
quoting=csv.QUOTE_NONNUMERIC)
##################################################################################################
# Simulation
##################################################################################################
# Initialize Vectors
i_person = 0
# Begin simulation
new_t_max = int(1.2 * t_max)
for t in range(0, new_t_max, time_step):
# For visualization purposes
veh_info_list = []
if visualize and t % 15 == 0 and t < 7200:
for j_veh in av_fleet:
veh_info_list.append([
t, j_veh.status,
int(j_veh.position_x),
int(j_veh.position_y)
])
viz_writer.writerow(veh_info_list)
# display current statuses of AVs and customers
# if t % 900 == 0:
# len_idle = len(list(j_veh for j_veh in av_fleet if j_veh.status == "idle"))
# len_relocate = len(list(j_veh for j_veh in av_fleet if j_veh.status == "relocating"))
# len_pick = len(list(j_veh for j_veh in av_fleet if j_veh.status == "enroute_pickup"))
# len_drop = len(list(j_veh for j_veh in av_fleet if j_veh.status == "enroute_dropoff"))
# print("hour: " + str(t/3600) + " idle:" + str(len_idle) + " relocate:" + str(len_relocate)
# + " pick:" + str(len_pick) + " drop:" + str(len_drop))
# len_unassigned = len(list(i for i in customers if i.status == "unassigned"))
# len_assigned = len(list(i for i in customers if i.status == "assigned"))
# len_inVeh = len(list(i for i in customers if i.status == "inVeh"))
# len_served = len(list(i for i in customers if i.status == "served"))
# print("unassigned:" + str(len_unassigned) + " assigned:" + str(len_assigned)
# + " inVeh:" + str(len_inVeh) + " served:" + str(len_served))
for j_av in av_fleet:
##################################################################################################
# decrease curb time, of vehicles that just finished pickup or drop-off
if j_av.curb_time_remain > 0:
j_av.curb_time_remain -= time_step
##################################################################################################
# move relocating AVs
elif j_av.status == "relocating":
sub_area = j_av.next_sub_area
Vehicle.move_vehicle_manhat(t, j_av, Person.Person, sub_area)
##################################################################################################
# move en_route drop-off AVs
elif j_av.status == "enroute_dropoff":
person_drop = j_av.next_drop
Vehicle.move_vehicle_manhat(t, j_av, person_drop,
Regions.SubArea)
# if AV's status changes, then the AV must have dropped off customer, and traveler status needs to change
if j_av.status != "enroute_dropoff":
Person.update_person(t, person_drop, j_av)
##################################################################################################
# move en_route pickup AVs
elif j_av.status == "enroute_pickup":
person_pick = j_av.next_pickup
Vehicle.move_vehicle_manhat(t, j_av, person_pick,
Regions.SubArea)
# if AV's status changes, then the AV must have picked up customer, and customer status needs to change
if j_av.status != "enroute_pickup":
Person.update_person(t, person_pick, j_av)
##################################################################################################
# check if there are new requests
if i_person < len(customers):
while customers[i_person].request_time <= t:
i_request = customers[i_person]
Person.update_person(t, i_request, Vehicle.Vehicle)
i_person += 1
if i_person == len(customers):
break
###################################################################################################
# Assign AVs to customer requests, or subAreas
###################################################################################################
# Get the number of idle AVs and unassigned customers
count_avail_veh = len(
list(j for j in av_fleet
if j.status in ["idle", "enroute_dropoff", "relocating"]
and j.next_pickup.person_id < 0))
count_unassigned = len(
list(i for i in customers if i.status == "unassigned"))
# Assign using FCFS methods
if "FCFS" in opt_method:
if t % assign_int == 0 and count_unassigned > 0 and count_avail_veh > 0:
AA.assign_veh_fcfs(av_fleet, customers, opt_method, t)
if t % relocat_int == 0 and count_avail_veh > 0 and relocate_method != "NULL":
# Dandl
# Call relocation/rebalancing algorithm
# Comment FD: give reference to area object instead of sub_areas to relocation algorithm
# -> this allows use of area.getVehicleAvailabilitiesPerArea() and
# area.getDemandPredictionsPerArea()
# forecast needs to know which weekday it is
# old: veh_subarea_assgn = AA.relocate_veh(av_fleet, area, relocate_method, t, weekday)
AA.relocate_veh(av_fleet, area, relocate_method, t, weekday)
# Response MH:
# It makes sense to input area object instead of sub_area
# I changed the code such that the processing/updating of vehicles and travelers (and subareas)
# are called within the assignment (and relocation) algorithm - this is why I commented out code below
# # Dandl
# # Need to process sub_Areas, and vehicles that are now relocating
# # Comment FD: veh_subarea_assgn is list of (vehicle_obj, subArea_obj) tuples
# for [j_vehicle, l_subarea] in veh_subarea_assgn:
# temp_veh_status = "relocating"
# Vehicle.update_vehicle(t, Person.Person, j_vehicle, l_subarea, temp_veh_status)
###################################################################################################
# Assign using Optimization-based methods
else:
# Every X seconds assign customers in the waiting queue to an AV
if t % assign_int == 0 and count_unassigned > 0 and count_avail_veh > 0:
AA.assign_veh_opt(av_fleet, customers, opt_method, t)
if t % relocat_int == 0 and count_avail_veh > 0 and relocate_method != "NULL":
AA.relocate_veh(av_fleet, area, relocate_method, t, weekday)
# see comments in 'Assign using FCFS'
##################################################################################################
# Simulation Over
##################################################################################################
##################################################################################################
# Customer and AV Results
##################################################################################################
# Quality of Service Metrics
# remove edge effects, only count middle 80% <-- previously 60%
start = round(0.03 * len(customers))
end = round(0.8 * len(customers))
metric__people = customers[start:end]
# num_metric_people = len(metric__people)
###### Customer Results ###############
file_string1 = '../Results_Rev2/taxi_trvlr_results'+ '_hold' + str(assign_int) + '_fleet' + str(len(customers)) \
+ '_opt' + str(opt_method) +'.csv'
csv_traveler = open(file_string1, 'w')
traveler_writer = csv.writer(csv_traveler,
lineterminator='\n',
delimiter=',',
quotechar='"',
quoting=csv.QUOTE_NONNUMERIC)
traveler_writer.writerow([
"person_id", "base_ivtt", "simulate_ivtt", "wait_assgn_time",
"wait_pick_time", "vehicle", "old_veh"
]) #, "rideshare"])
for j_person in customers[start:end]:
base_ivtt = j_person.in_veh_dist / veh_speed
traveler_writer.writerow([
j_person.person_id, base_ivtt, j_person.travel_time,
j_person.wait_assgn_time, j_person.wait_pick_time,
j_person.vehicle_id, j_person.old_vehicles
])
####### AV Results ###############
file_string2 = '../Results_Rev2/taxi_veh_results'+ '_hold' + str(assign_int) + '_fleet' + str(len(customers)) \
+ '_opt' + str(opt_method) +'.csv'
csv_vehicle = open(file_string2, 'w')
vehicle_writer = csv.writer(csv_vehicle,
lineterminator='\n',
delimiter=',',
quotechar='"',
quoting=csv.QUOTE_NONNUMERIC)
vehicle_writer.writerow([
"vehicle_id", "distance", "pass_assgn", "pass_pick", "pass_drop",
"pass_drop_list"
])
cum_distance = 0
for k_vehicle in av_fleet:
cum_distance += k_vehicle.total_distance
vehicle_writer.writerow([
k_vehicle.vehicle_id, k_vehicle.total_distance,
k_vehicle.pass_assgn_count, k_vehicle.pass_pick_count,
k_vehicle.pass_drop_count, k_vehicle.pass_dropped_list
])
if taxi:
cum_distance = cum_distance / 1000.0
vehicle_writer.writerow(["cum_distance_km", cum_distance])
else:
cum_distance = cum_distance / 5280.0
vehicle_writer.writerow(["cum_distance_ft", cum_distance])
##################################################################################################
# Calculate Performance Metrics for Single Simulation
##################################################################################################
# Customer Metrics ###############
# Incomplete Customers Metrics
num_served = (list(p.status for p in customers)).count("served")
num_in_veh = (list(p.status for p in customers)).count("inVeh")
num_assgnd = (list(p.status for p in customers)).count("assigned")
num_unassgnd = (list(p.status for p in customers)).count("unassigned")
print("num_served", num_served)
perc_reassigned = round(
numpy.mean(
list(p.reassigned for p in metric__people
if p.status == "served")), 2)
mean_wait_pick = int(
numpy.mean(
list(p.wait_pick_time for p in metric__people
if p.status == "served")))
# sd_wait_pick = int(numpy.std(list(p.wait_pick_time for p in metric__people if p.status == "served")))
# mean_wait_assgn = int(numpy.mean(list(p.wait_assgn_time for p in metric__people if p.status == "served")))
# sd_wait_assgn = int(numpy.std(list(p.wait_assgn_time for p in metric__people if p.status == "served")))
# mean_trip_dist = round(numpy.mean(list(p.in_veh_dist for p in metric__people if p.status == "served"))/5280, 3)
# sd_trip_dist = round(numpy.std(list(p.in_veh_dist for p in metric__people if p.status == "served"))/5280, 3)
# AV Metrics ###############
if taxi:
tot_fleet_dist = int(
sum(list(v.total_distance for v in av_fleet)) / 1000.0) # km
mean_tot_veh_dist = round(
numpy.mean(list(v.total_distance for v in av_fleet)) / 1000.0,
2) # km
empty_fleet_dist = int(
sum(list(v.empty_distance for v in av_fleet)) / 1000.0) # km
perc_empty_dist = round(empty_fleet_dist / float(tot_fleet_dist), 3)
fleet_hours = ((mean_tot_veh_dist * 1000.0) / veh_speed) / 3600.0
fleet_utilization = round(fleet_hours / (new_t_max / 3600.0), 2)
else:
tot_fleet_dist = int(
sum(list(v.total_distance for v in av_fleet)) / 5280.0) # miles
mean_tot_veh_dist = round(
numpy.mean(list(v.total_distance for v in av_fleet)) / 5280.0,
2) # miles
# sd_tot_veh_dist = round(numpy.std(list(v.total_distance for v in Vehicles))/5280.0,2)
empty_fleet_dist = int(
sum(list(v.empty_distance for v in av_fleet)) / 5280.0) # miles
# mean_empty_veh_dist= round(numpy.mean(list(v.empty_distance for v in Vehicles))/5280.0,2)
# sd_empty_veh_dist = round(numpy.std(list(v.empty_distance for v in Vehicles))/5280.0,2)
# loaded_fleet_miles = int(sum(list(v.loaded_distance for v in Vehicles))/5280.0)
# mean_loaded_veh_dist= round(numpy.mean(list(v.loaded_distance for v in Vehicles))/5280.0,2)
# sd_loaded_veh_dist = round(numpy.std(list(v.loaded_distance for v in Vehicles))/5280.0,2)
perc_empty_dist = round(empty_fleet_dist / float(tot_fleet_dist), 3)
fleet_hours = ((mean_tot_veh_dist * 5280.0) / veh_speed) / 3600.0
fleet_utilization = round(fleet_hours / (new_t_max / 3600.0), 2)
# Initialize Vector of Metrics
# sim_results = [num_metric_People, perc_reassigned,
# mean_ivtt, sd_ivtt, mean_wait_pick, sd_wait_pick, mean_wait_assgn, sd_wait_assgn,
# mean_trip_dist, sd_trip_dist,
# tot_fleet_dist, mean_tot_veh_dist, sd_tot_veh_dist,
# empty_fleet_miles, perc_empty_miles, fleet_utilization,
# mean_increase_RS_ivtt, sd_increase_RS_ivtt,
# num_served, num_inVeh, num_assgnd, num_unassgnd]
sim_results = [
mean_wait_pick, perc_empty_dist, perc_reassigned, fleet_utilization,
num_served, num_in_veh, num_assgnd, num_unassgnd
]
return (sim_results)
def printScales(self):
keyList = self.scales.keys()
keyList.sort()
for key in keyList:
print key
def printProjections(self):
keyList = self.projections.keys()
for key in keyList:
print key, self.projections[key].__len__()
def getKapsSortedByScale(self, addExt = ""):
lst = []
keyList = self.scales.keys()
keyList.sort()
keyList.reverse()
for key in keyList:
for scale in self.scales[key]:
item = scale.split("/")[-1].rstrip(".KAP")
item = item.rstrip(".kap")
lst.append(item+addExt)
return lst
if __name__== "__main__":
import Regions
filter = Regions.getRegionFilterList("REGION_15")
dir = "/home/will/zxyCharts/BSB_ROOT/NOAA_BSB_ROOT/BSB_ROOT"
bs = BsbScales(dir, filter)
for ea in bs.getKapsSortedByScale(".KAP"):
print ea
