def evalIndividual(self, individual):
''' Evaluate an individual in the population. Based on how close the
average bus request time is to the actual bus trip time.
@param an individual in the population
@return a summation of the difference between past past requests'
average trip starting time and actual start time
according to the evolving timetable.
Lower values are better.
'''
self.runOnce()
# DONE Store the date on mongo as datetime
# Store the requests of the previous day into a JSON file order them by date and KEEP IT during the whole iteration on memory
# DONE Group by request query from the file to reduce the number of elements being processed
# Use map function instead of LOOP
# Multi thread the MAP functions
# First, the randomly-generated starting times are sorted in order to check sequentially the number of requests for that particular trip
individual = sorted(individual, key=itemgetter(2))
# Second, we loop trough the number of genes in order to retrieve the number of requests for that particular trip
# DB calls can ve avoided by querying the whole Request Collection for a particular day
# For the 1st trip, the starting time has to be selected
db = DB()
# Replace the dates here from yesterday's date
request = []
dif = []
cnt = []
intialTripTime = "00:00"
# TODO: Change to timedelta(1)
yesterday = date.today() - timedelta(2)
# The result here should be added into a file: the order is by hour, minute and initialBusStop
# request = db.getTravelRequestSummary(datetime.combine(yesterday, datetime.strptime(Fitness.firstMinute, Fitness.formatTime).time()),datetime.combine(yesterday, datetime.strptime(Fitness.lastMinute, Fitness.formatTime).time()))
for i in range(len(individual)):
tripTimeTable = []
tripTimeTable = db.generateFitnessTripTimeTable(individual[i][0], individual[i][2])
# For each gene, the corresponding requests are returned
for j in range(len(tripTimeTable)):
request = []
if j==0:
request = db.getTravelRequestSummary2(datetime.combine(yesterday, datetime.strptime(intialTripTime, Fitness.formatTime).time()),datetime.combine(yesterday, datetime.strptime(tripTimeTable[j][1], Fitness.formatTime).time()), tripTimeTable[j][0])
intialTripTime = tripTimeTable[j][1]
else:
request = db.getTravelRequestSummary2(datetime.combine(yesterday, datetime.strptime(tripTimeTable[j-1][1], Fitness.formatTime).time()),datetime.combine(yesterday, datetime.strptime(tripTimeTable[j][1], Fitness.formatTime).time()), tripTimeTable[j][0])
if len(request)>0:
diff = 0
count = 0
for k in range(len(request)):
diff = diff + self.getMinutes(self.timeDiff(tripTimeTable[j][1],str(int(request[k]["hour"])) + ":" + str(int(request[k]["minute"]))))*int(request[k]["count"])
count = count + int(request[k]["count"])
dif.append(diff)
cnt.append(count)
return sum(dif)/sum(cnt),
