import string
import sys
import urllib, string, fileinput, sys
from time import strftime
import datetime
import re
from matplotlib.dates import date2num
import os
import farebeast_functions as fbf
for k in xrange(fbf.count_flightgroups()):
fgid=k+1
flightgroup_to_check=fbf.read_flightgroups(fgid)
lastflight=fbf.latest_departure(int(flightgroup_to_check[5]), int(flightgroup_to_check[6]), int(flightgroup_to_check[7]), int(flightgroup_to_check[8]), int(flightgroup_to_check[9]), int(flightgroup_to_check[10]), int(flightgroup_to_check[11]), int(flightgroup_to_check[12]), int(flightgroup_to_check[13]), int(flightgroup_to_check[14]), int(flightgroup_to_check[15]), int(flightgroup_to_check[16]), int(flightgroup_to_check[17]), int(flightgroup_to_check[18]), int(flightgroup_to_check[19]), int(flightgroup_to_check[20]), int(flightgroup_to_check[21]), int(flightgroup_to_check[22]), int(flightgroup_to_check[23]), int(flightgroup_to_check[24]))
if(datetime.date.today() < lastflight[0]):
(group_times,search_times,fares,website,alert,dateA,dateB,fids)=fbf.get_best_timeseries(fgid)
totflags=sum(alert)
if(totflags < 0.5):
DaysMonitoring=float(date2num(datetime.datetime.utcnow()))-float(date2num(search_times[0]))
DaysUntilFlight=float(date2num(lastflight[0]))-float(date2num(datetime.datetime.utcnow()))
LowestPrice=min(fares)
#If days until flight > 100 and Days monitoring > 10, alert if price is lower or equal than lowest No->(or 30% less than average).
if ((DaysUntilFlight > 100.) and (DaysMonitoring > 10.) and (fares[-1] <= LowestPrice)):
def check_flights():
user_table=wf.get_user_table()
user=str(request.args.get("user",None))
uid_index=user_table[1].index(user)
uid=user_table[0][uid_index]
fgids=wf.get_gfids(uid)
trips=[]
embryos=[]
born_fgids=[]
embryo_fgids=[]
for fgid in fgids:
try:
with open('static/plots/'+str(fgid)+'a.png'):
born_fgids.append(fgid)
print fgid, "born"
except IOError:
embryo_fgids.append(fgid)
print fgid, "embryo"
for fgid in born_fgids:
graph1=str(fgid)+"a.png"
graph2=str(fgid)+"b.png"
graph3=str(fgid)+"c.png"
FGname=fbf.get_flightgroup_name(fgid)
(group_times,search_times,fares,website,alert,dateA,dateB,fid)=fbf.get_best_timeseries(fgid)
(portA,portB)=fbf.get_flightgroup_ports(fgid)
fare_of_last_alert=int(fbf.fare_of_last_alert(fgid))
days_since_last_alert=int(fbf.days_since_last_alert(fgid))
min_fare_within_last_week=int(fbf.min_fare_within_last_week(fgid))
avg_fare_within_last_week=int(fbf.avg_fare_within_last_week(fgid))
if(days_since_last_alert > 999):
days_since_last_alert='N/A'
fare_of_last_alert='N/A'
dayA=("%02d" %dateA[-1].day)
monthA=("%02d" %dateA[-1].month)
yearA=("%02d" %(dateA[-1].year-2000))
dayB=("%02d" %dateB[-1].day)
monthB=("%02d" %dateB[-1].month)
yearB=("%02d" %(dateB[-1].year-2000))
expedia_url="http://www.expedia.com/pub/agent.dll?qscr=fexp&flag=q&city1="+portA+"&citd1="+portB+"&date1="+monthA+"/"+dayA+"/20"+yearA+"&time1=362&date2="+monthB+"/"+dayB+"/20"+yearB+"&time2=362&cAdu=1&cSen=&cChi=&cInf=&infs=2&tktt=&trpt=2&ecrc=&eccn=&qryt=8&load=1&airp1=&dair1=&rdct=1&rfrr=-429"
bing_url="http://www.bing.com/travel/flights/search?q=&vo1=%28"+portA+"%29&o="+portA+"&ve1=%28"+portB+"%29&e="+portB+"&d1="+monthA+"%2F"+dayA+"%2F20"+yearA+"&r1="+monthB+"%2F"+dayB+"%2F20"+yearB+"&p=1&b=COACH"
if(website[-1] == 'expedia'):
gourl=expedia_url
else:
gourl=bing_url
flightgroup_to_check=fbf.read_flightgroups(fgid)
lastflight=fbf.latest_departure(int(flightgroup_to_check[5]), int(flightgroup_to_check[6]), int(flightgroup_to_check[7]), int(flightgroup_to_check[8]), int(flightgroup_to_check[9]), int(flightgroup_to_check[10]), int(flightgroup_to_check[11]), int(flightgroup_to_check[12]), int(flightgroup_to_check[13]), int(flightgroup_to_check[14]), int(flightgroup_to_check[15]), int(flightgroup_to_check[16]), int(flightgroup_to_check[17]), int(flightgroup_to_check[18]), int(flightgroup_to_check[19]), int(flightgroup_to_check[20]), int(flightgroup_to_check[21]), int(flightgroup_to_check[22]), int(flightgroup_to_check[23]), int(flightgroup_to_check[24]))
DaysUntilFlight=float(date2num(lastflight[0]))-float(date2num(datetime.datetime.utcnow()))
trip_to_show=[gourl,graph1,graph2,graph3,portA,portB,FGname,fares[-1],fare_of_last_alert,days_since_last_alert,avg_fare_within_last_week, min_fare_within_last_week,int(DaysUntilFlight)]
trips.append(trip_to_show)
for fgid in embryo_fgids:
FGname=fbf.get_flightgroup_name(fgid)
(portA,portB)=fbf.get_flightgroup_ports(fgid)
embryo_to_show=[FGname,portA,portB]
embryos.append(embryo_to_show)
if (len(born_fgids)==0 and len(embryo_fgids)==0):
user_approval='Awaiting administrator approval for '+user+'.'
else:
user_approval=''
return render_template("check_flights.html",trips=trips,embryos=embryos,user_approval=user_approval,users=user_table[1])
return (times,expedia_prices,kayak_prices)
home='/home/ubuntu/farebeast8-aws'
#home='/Users/danok/airfare_monitor/farebeast8-aws'
wait_time=0.1 #in seconds
mydpi=120
for k in xrange(fbf.count_flightgroups()):
#for k in xrange(2):
fgid=k+1
flightgroup_to_check=fbf.read_flightgroups(k+1)
lastflight=fbf.latest_departure(int(flightgroup_to_check[5]), int(flightgroup_to_check[6]), int(flightgroup_to_check[7]), int(flightgroup_to_check[8]), int(flightgroup_to_check[9]), int(flightgroup_to_check[10]), int(flightgroup_to_check[11]), int(flightgroup_to_check[12]), int(flightgroup_to_check[13]), int(flightgroup_to_check[14]), int(flightgroup_to_check[15]), int(flightgroup_to_check[16]), int(flightgroup_to_check[17]), int(flightgroup_to_check[18]), int(flightgroup_to_check[19]), int(flightgroup_to_check[20]), int(flightgroup_to_check[21]), int(flightgroup_to_check[22]), int(flightgroup_to_check[23]),int(flightgroup_to_check[24]))
if(datetime.date.today() < lastflight[0]):
#GREY CURVES
grey_flights=(int(flightgroup_to_check[5]), int(flightgroup_to_check[6]), int(flightgroup_to_check[7]), int(flightgroup_to_check[8]), int(flightgroup_to_check[9]), int(flightgroup_to_check[10]), int(flightgroup_to_check[11]), int(flightgroup_to_check[12]), int(flightgroup_to_check[13]), int(flightgroup_to_check[14]), int(flightgroup_to_check[15]), int(flightgroup_to_check[16]), int(flightgroup_to_check[17]), int(flightgroup_to_check[18]), int(flightgroup_to_check[19]), int(flightgroup_to_check[20]), int(flightgroup_to_check[21]), int(flightgroup_to_check[22]), int(flightgroup_to_check[23]), int(flightgroup_to_check[24]))
grey_plot=[]
for i in xrange(len(grey_flights)):
if(grey_flights[i] != 0):
(times_temp,expedia_temp,kayak_temp)=get_timeseries(grey_flights[i])
allinone=(times_temp,expedia_temp,kayak_temp)
grey_plot.append(allinone)
# BEST CURVE
(group_times,search_times,fares,website,alert,dateA,dateB,fid)=fbf.get_best_timeseries(fgid)
