def recommend(self, howMany):
userKnownLanguages = {}
for button in self.buttons:
if(button.clicked == True):
if button.t not in userKnownLanguages:
userKnownLanguages[button.t] = 1
topicOfChoice = ""
# Grab the topic the user selected
try:
index = self.listbox.curselection()[0]
topicOfChoice = self.listbox.get(index)
except IndexError:
pass
nearestCluster = classifier.nearest(userKnownLanguages, self.indexByTopic)
for frame in self.frames:
frame.pack_forget()
self.displayRecommendations(topicOfChoice, userKnownLanguages)
data = classifier.difference(self.indexByTopic[nearestCluster]['languages'], userKnownLanguages)
labels,d1 =zip(*data)
d = Drawing(300,200)
chart = VerticalBarChart()
chart.width = 260
chart.height = 160
chart.x = 20
chart.y = 10
chart.data = [d1]
chart.categoryAxis.categoryNames = labels
d.add(chart)
d.save(formats=['pdf'],outDir='.',fnRoot='graph')
os.system('open graph.pdf')
def displayRecommendations(self, topicOfChoice, userKnownLanguages):
unknownLanguages = []
self.frames[0].destroy()
mainFrame = Tkinter.Frame(self.window)
f = tkFont.Font(size=18)
if topicOfChoice == "":
topLanguages = ""
for x in dict(sorted(self.indexByLanguage.iteritems(), key=itemgetter(1),reverse=True)[:3]):
topLanguages = topLanguages + " " + x
text = Tkinter.Text(mainFrame, width = 135, font = f)
text.insert(INSERT,"Since no topic was selected, it is recommended that you learn one of the top languages across all given topics which are the following:")
text.grid(row = 0, column = 0)
text.insert(INSERT,topLanguages)
text.grid(row = 1, column = 0)
else:
for key in self.indexByTopic[topicOfChoice]['languages']:
if key not in userKnownLanguages:
unknownLanguages.append({'language':key, 'count':self.indexByTopic[topicOfChoice]['languages'][key]})
sortedList = (sorted(unknownLanguages, key=itemgetter('count')))
if len(sortedList) == 0:
text = Tkinter.Text(mainFrame, font=f)
text.insert(INSERT, "You already know all the languages that you need to get a job in ")
text.insert(INSERT, topicOfChoice)
text.insert(INSERT, ". You are too smart!")
text.grid(row = 0, column = 0)
mainFrame.pack(side = TOP)
return ''
topicToLearn = sortedList[len(sortedList)-1]['language']
if topicToLearn == "office":
topicToLearn = "microsoft office"
text2 = Tkinter.Text(mainFrame, height = 2, font=f)
text2.insert(INSERT, "It is recommended that you learn ")
text2.insert(INSERT, topicToLearn)
text2.insert(INSERT, " to increase your job options when searching for a job in ")
text2.insert(INSERT, topicOfChoice + ".")
text2.grid(row=3, column=0)
length = len(userKnownLanguages)
# Determine how close the user is to each topic currently
nearestCluster = classifier.nearest(userKnownLanguages, self.indexByTopic)
text3 = Tkinter.Text(mainFrame, height = 3, font=f)
if len(userKnownLanguages) == 0:
text3.insert(INSERT, "You don't know any languages already, so go into Liberal Arts")
else:
text3.insert(INSERT, "Based on the languages you already know: ")
for x in dict(sorted(userKnownLanguages.iteritems(), key=itemgetter(1),reverse=True)[:length]):
text3.insert(INSERT, x + ", ")
text3.insert(INSERT, "you are most capable of working in the field of " + nearestCluster + ".")
text3.grid(row = 4, column = 0)
restart = Tkinter.Button(mainFrame, text="Choose another selection")
restart.grid(row=5)
restart.bind("<Button-1>", lambda e: self.restartFunc())
self.windowVisible = False
mainFrame.pack(side = TOP)
self.frames.append(mainFrame)
pass
