def readAttempt(self, level, user):
users = mldata.getUsers(is_profile = False)
if user not in users:
return False, False
dtuser = mldata.UserData(user, self.level, is_profile = False)
udcount = dtuser.getUserFeatureLevels()
return dtuser.ftlevels,udcount
def readProfiles(self):
""" Get data for all users + the min in each level for all users """
users = mldata.getUsers()
ud = {}
udcount = {}
for user in users:
dtuser = mldata.UserData(user, self.level)
udcount[user] = dtuser.getUserFeatureLevels()
ud[user] = dtuser.ftlevels #data from all levels and features for one user
minc = 1000000
self.userlvl = []
for user in users:
if mldata.DEBUGL >= 2:
print ("User %s, Level %d -> Length:%d"%(user,self.level,udcount[user]))
cntuserlvl = udcount[user]
if cntuserlvl <= 109:
continue
self.userlvl.append(user)
if cntuserlvl < minc:
minc = cntuserlvl
if minc == 1000000:
minc = 0
# Only get the last portion of the profile
for user in self.userlvl:
for ft in ud[user]:
ud[user][ft] = ud[user][ft][-minc:]
return ud, minc
def getUsersData(self):
users = mldata.getUsers()
ud = {}
udcount = {}
mincountperL = {}
for user in users:
dtuser = mldata.UserData(user)
udcnt = dtuser.getUserFeatureLevels()
if udcnt[self.level] <= 100:
continue
udcount[user] = udcnt[self.level]
ud[user] = dtuser.ftlevels[self.level]
#data from all levels and features for one user
return ud,udcount
def getNearestUserId(self):
edinburghLat = 55.953251
edinburghLng = -3.188267
users = Data.getUsers()
def addDistanceToUser(user):
user['distance'] = self.getDistanceFromLatLonInKm(edinburghLat,edinburghLng,user["latitude"],user["longitude"])
return user
users = map(addDistanceToUser, users);
users = sorted(users, key = lambda k: k["distance"])
closestUser = users[0]
return closestUser["_id"]
def lead():
mydict = {k: {k1.encode("utf-8"): v1 for k1, v1 in v.iteritems()} for k,v in data.getUsers()[0].iteritems()}
return render_template("lead.html", peeps=mydict)
