def station_input():
# check existing users for activity, delete inactive users
inactive_users = []
now = dt.datetime.today()
# if inactive for longer than sessionlifetime, remove user from database
sessionlifetime = 24 * 3600
for uid in users:
if (now - users[uid].last_activity_time).seconds > sessionlifetime:
inactive_users.append(uid)
for uid in inactive_users:
del users[uid]
rottendir = getgrowdir(uid)
cmd = 'rm -rf ' + rottendir
call(cmd, shell=True)
# if this user has a history with Grow Hubway, get their directory
if 'userid' in session:
uid = session['userid']
growdir = getgrowdir(uid)
else:
# otherwise, make a new userid with a random number generator
# note, this solution may have problems related to collisions. Need to
# investigate this in the future
uid = np.random.randint(1, high=1e8)
# add the user id to the session dictionary
session['userid'] = uid
# get the users directory
growdir = getgrowdir(uid)
# make the directory
cmd = 'mkdir ' + growdir
call(cmd, shell=True)
# store user class in users dictionary
users[uid] = user.User()
# reset to existing Hubway stations only
gridpredict.resetiteration(basedir, growdir)
# reset the results database for this user
useraddress = []
riderate = []
dictnew = {"address": useraddress, "ridesperday": riderate}
stations = pd.DataFrame(dictnew)
stations.to_csv(growdir + 'appresults.csv', index=False)
return render_template("input.html")
def station_input():
# check existing users for activity, delete inactive users
inactive_users = []
now = dt.datetime.today()
# if inactive for longer than sessionlifetime, remove user from database
sessionlifetime = 24 * 3600
for uid in users:
if (now - users[uid].last_activity_time).seconds > sessionlifetime:
inactive_users.append(uid)
for uid in inactive_users:
del users[uid]
rottendir = getgrowdir(uid)
cmd = 'rm -rf ' + rottendir
call(cmd, shell=True)
# if this user has a history with Grow Hubway, get their directory
if 'userid' in session:
uid = session['userid']
growdir = getgrowdir(uid)
else:
# otherwise, make a new userid with a random number generator
# note, this solution may have problems related to collisions. Need to
# investigate this in the future
uid = np.random.randint(1, high=1e8)
# add the user id to the session dictionary
session['userid'] = uid
# get the users directory
growdir = getgrowdir(uid)
# make the directory
cmd = 'mkdir ' + growdir
call(cmd, shell=True)
# store user class in users dictionary
users[uid] = user.User()
# reset to existing Hubway stations only
gridpredict.resetiteration(basedir, growdir)
# reset the results database for this user
useraddress = []
riderate = []
dictnew = {"address": useraddress, "ridesperday": riderate}
stations = pd.DataFrame(dictnew)
stations.to_csv(growdir + 'appresults.csv', index=False)
return render_template("input.html")
import gridpredict basedir = '../Data/Boston/' growdir = '../Data/Boston/growing/' gridpredict.resetiteration(basedir, growdir) test1 = gridpredict.autoinput(growdir) print(test1) import pdb; pdb.set_trace() test1 = gridpredict.autoinput(growdir) print(test1) import pdb; pdb.set_trace() test1 = gridpredict.autoinput(growdir) print(test1) test1 = gridpredict.autoinput(growdir) print(test1) test1 = gridpredict.autoinput(growdir) print(test1) test1 = gridpredict.autoinput(growdir) print(test1) test1 = gridpredict.autoinput(growdir) print(test1) # open street map for river outline # data thief
import gridpredict basedir = '../Data/Boston/' growdir = '../Data/Boston/growing/' gridpredict.resetiteration(basedir, growdir) test1 = gridpredict.autoinput(growdir) print(test1) import pdb pdb.set_trace() test1 = gridpredict.autoinput(growdir) print(test1) import pdb pdb.set_trace() test1 = gridpredict.autoinput(growdir) print(test1) test1 = gridpredict.autoinput(growdir) print(test1) test1 = gridpredict.autoinput(growdir) print(test1) test1 = gridpredict.autoinput(growdir) print(test1) test1 = gridpredict.autoinput(growdir) print(test1) # open street map for river outline # data thief
