def get(self):
if self.session.get('is_valid') == True:
urlfetch.set_default_fetch_deadline(60)
# Retrieve existing user aspirations
aspirations_html = ""
try:
mylist = app_datastore.get_aspirations(self.session['student_id']).aspirations
for item in mylist:
aspirations_html += "<li>" + item + "</li>"
except Exception:
pass
# Retrieve a list of all aspirations from the datastore
all_aspirations_html = ''
try:
all_aspirations_html = app_datastore.get_all_asp()
except Exception:
pass
print all_aspirations_html
# Prepare template values and template
template_values = {
'student_name': self.session.get('student_name'),
'student_email': self.session.get('student_email'),
'existing_aspirations': aspirations_html,
'all_aspirations': all_aspirations_html
}
template = jinja_environment.get_template('aspirations.html')
# Write page
self.response.out.write(template.render(template_values))
else:
self.redirect(app_domain)
def get(self):
urlfetch.set_default_fetch_deadline(10)
# Retrieve token
if self.session.get('is_valid') != True:
self.session['ivle_token'] = self.request.get('token')
self.session['is_valid'] = json.load(urllib2.urlopen('https://ivle.nus.edu.sg/api/Lapi.svc/Validate?APIKey=' + ivle_api_key + '&Token=' + self.session.get('ivle_token')))['Success']
# If the user is authenticated and token is not empty
if self.session.get('is_valid') == True and self.session.get('ivle_token') != '':
# Initialise values
aspirations_completed = False
education_completed = False
experience_completed = False
personality_completed = False
aspirations_html = ''
best_modules_html = ''
interests_html = ''
skills_and_knowledge_html = ''
strengths_at_work_html = ''
involvements_html = ''
emotions_html = ''
strengths_as_a_friend_html = ''
personality_best_html = ''
advice_html = ''
social_networks_html=''
# If the user's session is new
if app_datastore.user_exists(self.session.get('student_id')) == False:
# Retrieve profile information from IVLE and remember for the current browser session
student_profile_object = json.load(urllib2.urlopen('https://ivle.nus.edu.sg/api/Lapi.svc/Profile_View?APIKey=' + ivle_api_key + '&AuthToken=' + self.session.get('ivle_token')))['Results'][0]
self.session['student_id'] = student_profile_object['UserID']
self.session['student_name'] = student_profile_object['Name']
self.session['student_email'] = student_profile_object['Email']
self.session['student_matriculation_year'] = student_profile_object['MatriculationYear']
self.session['student_first_major'] = student_profile_object['FirstMajor']
self.session['student_second_major'] = student_profile_object['SecondMajor']
self.session['student_faculty'] = student_profile_object['Faculty']
self.session['log_identity'] = self.session.get('student_name') + " (" + self.session.get('student_id') + ")"
logging.debug(self.session.get('log_identity') + " has logged in")
# If the user exists in the datastore
if app_datastore.user_exists(self.session['student_id']):
# Update the email session variable if there is a different email in the datastore than in IVLE
if (app_datastore.get_user(self.session['student_id']).email != self.session['student_email']):
self.session['student_email'] = app_datastore.get_user(self.session['student_id']).email
# Describe existing aspirations
try:
aspirations = app_datastore.get_aspirations(self.session['student_id']).aspirations
aspirations_completed = app_datastore.get_aspirations(self.session['student_id']).completed
number_of_aspirations = len(aspirations)
aspiration_id = 1
for aspiration in aspirations:
if aspiration[0] in "aeiou":
aspirations_html += "an "
else:
aspirations_html += "a "
aspirations_html += aspiration
if aspiration_id + 1 < number_of_aspirations:
aspirations_html += ", "
elif aspiration_id + 1 == number_of_aspirations:
aspirations_html += " or "
aspiration_id += 1
except Exception:
pass
# Describe existing best modules
try:
best_modules = app_datastore.get_education(self.session['student_id']).best_modules
education_completed = app_datastore.get_education(self.session['student_id']).completed
number_of_best_modules = len(best_modules)
if number_of_best_modules > 3:
remaining_best_module_count = number_of_best_modules - 3
best_module_id_1 = randint(0, number_of_best_modules-1)
best_module_id_2 = best_module_id_1
while (best_module_id_2 == best_module_id_1):
best_module_id_2 = randint(0, number_of_best_modules-1)
best_module_id_3 = best_module_id_1
while (best_module_id_3 == best_module_id_1 or best_module_id_3 == best_module_id_2):
best_module_id_3 = randint(0, number_of_best_modules-1)
best_modules_html = best_modules[best_module_id_1] + ", " + best_modules[best_module_id_2] + ", " + best_modules[best_module_id_3] + " and " + str(remaining_best_module_count) + " other module"
if remaining_best_module_count > 1:
best_modules_html += "s"
else:
i = 1
for best_module in best_modules:
best_modules_html += best_module
if i + 1 < number_of_best_modules:
best_modules_html += ", "
elif i + 1 == number_of_best_modules:
best_modules_html += " and "
i += 1
except Exception:
pass
# Describe existing interests
try:
interests = app_datastore.get_experience(self.session['student_id']).interests
experience_completed = app_datastore.get_experience(self.session['student_id']).completed
if len(interests) > 3:
remaining_interest_count = len(interests) - 3
interest_id_1 = randint(0, len(interests)-1)
interest_id_2 = interest_id_1
while (interest_id_2 == interest_id_1):
interest_id_2 = randint(0, len(interests)-1)
interest_id_3 = interest_id_1
while (interest_id_3 == interest_id_1 or interest_id_3 == interest_id_2):
interest_id_3 = randint(0, len(interests)-1)
interests_html = interests[interest_id_1] + ", " + interests[interest_id_2] + ", " + interests[interest_id_3] + " and " + str(remaining_interest_count) + " other interest"
if remaining_interest_count > 1:
interests_html += "s"
else:
i = 1
for interest in interests:
interests_html += interest
if i + 1 < len(interests):
interests_html += ", "
elif i + 1 == len(interests):
interests_html += " and "
i += 1
except Exception:
pass
# Describe existing skills
try:
sk = app_datastore.get_experience(self.session['student_id']).skills_and_knowledge
experience_completed = app_datastore.get_experience(self.session['student_id']).completed
if len(sk) > 3:
remaining_sk_count = len(sk) - 3
sk_id_1 = randint(0, len(sk)-1)
sk_id_2 = sk_id_1
while (sk_id_2 == sk_id_1):
sk_id_2 = randint(0, len(sk)-1)
sk_id_3 = sk_id_1
while (sk_id_3 == sk_id_1 or sk_id_3 == sk_id_2):
sk_id_3 = randint(0, len(sk)-1)
skills_and_knowledge_html = sk[sk_id_1] + ", " + sk[sk_id_2] + ", " + sk[sk_id_3] + " and " + str(remaining_sk_count) + " other skill"
if remaining_sk_count > 1:
skills_and_knowledge_html += "s"
else:
i = 1
for skill_or_knowledge in sk:
skills_and_knowledge_html += skill_or_knowledge
if i + 1 < len(sk):
skills_and_knowledge_html += ", "
elif i + 1 == len(sk):
skills_and_knowledge_html += " and "
i += 1
except Exception:
pass
# Describe and two strengths at work
try:
personality_completed = app_datastore.get_personality(self.session['student_id']).completed
trait1 = app_datastore.get_personality(self.session['student_id']).two_dominant_temperaments_both[0]
trait2 = app_datastore.get_personality(self.session['student_id']).two_dominant_temperaments_both[1]
phrase1 = four_temperaments.get_random_at_work(trait1)
phrase2 = four_temperaments.get_random_at_work(trait2)
strengths_at_work_html = phrase1 + " and " + phrase2
except Exception:
pass
# Describe existing involvements
try:
involvements = app_datastore.get_experience(self.session['student_id']).involvements
experience_completed = app_datastore.get_experience(self.session['student_id']).completed
if len(involvements) > 3:
remaining_involvement_count = len(involvements) - 3
involvement_id_1 = randint(0, len(involvements)-1)
involvement_id_2 = involvement_id_1
while (involvement_id_2 == involvement_id_1):
involvement_id_2 = randint(0, len(involvements)-1)
involvement_id_3 = involvement_id_1
while (involvement_id_3 == involvement_id_1 or involvement_id_3 == involvement_id_2):
involvement_id_3 = randint(0, len(involvements)-1)
involvements_html = involvements[involvement_id_1] + ", " + involvements[involvement_id_2] + ", " + involvements[involvement_id_3] + " and " + str(remaining_involvement_count) + " other involvement"
if remaining_involvement_count > 1:
involvements_html += "s"
else:
i = 1
for involvement in involvements:
involvements_html += involvement
if i + 1 < len(involvements):
involvements_html += ", "
elif i + 1 == len(involvements):
involvements_html += " or "
i += 1
except Exception:
pass
# Describe any two emotions
try:
personality_completed = app_datastore.get_personality(self.session['student_id']).completed
trait1 = app_datastore.get_personality(self.session['student_id']).two_dominant_temperaments_both[0]
trait2 = app_datastore.get_personality(self.session['student_id']).two_dominant_temperaments_both[1]
phrase1 = four_temperaments.get_random_emotion(trait1)
phrase2 = four_temperaments.get_random_emotion(trait2)
emotions_html = phrase1 + " and " + phrase2
except Exception:
pass
# Describe any two strengths as a friend
try:
personality_completed = app_datastore.get_personality(self.session['student_id']).completed
trait1 = app_datastore.get_personality(self.session['student_id']).two_dominant_temperaments_both[0]
trait2 = app_datastore.get_personality(self.session['student_id']).two_dominant_temperaments_both[1]
phrase1 = four_temperaments.get_random_as_a_friend(trait1)
phrase2 = four_temperaments.get_random_as_a_friend(trait2)
strengths_as_a_friend_html = phrase1 + " and " + phrase2
except Exception:
pass
# Describe any best from each dominant trait in terms of personality. There are only two dominant traits out of four.
try:
personality_completed = app_datastore.get_personality(self.session['student_id']).completed
trait1 = app_datastore.get_personality(self.session['student_id']).two_dominant_temperaments_both[0]
trait2 = app_datastore.get_personality(self.session['student_id']).two_dominant_temperaments_both[1]
phrase1 = four_temperaments.get_random_best_in(trait1)
phrase2 = four_temperaments.get_random_best_in(trait2)
personality_best_html = phrase1 + " and " + phrase2
except Exception:
pass
# Describe any one existing advice
try:
advice_html = app_datastore.get_random_advice(self.session['student_id'])
experience_completed = app_datastore.get_experience(self.session['student_id']).completed
except Exception:
pass
# List social networks in bullet points
try:
social_networks_obj = app_datastore.get_user(self.session['student_id']).social_networks
for link in social_networks_obj:
social_networks_html+="<a href=http://" + link + "><li>http://" + link + "</li></a>"
except Exception:
pass
# else if the user is new
else:
# Register into the datastore
app_datastore.insert_user(student_profile_object)
logging.debug(self.session.get('log_identity') + " registered.")
template_values = {
# Jumbotron
'student_name': self.session.get('student_name'),
'student_email': self.session.get('student_email'),
'matriculation_year': self.session.get('student_matriculation_year'),
'first_major': self.session.get('student_first_major'),
'second_major': self.session.get('student_second_major'),
'faculty': self.session.get('student_faculty'),
# Summary
'aspirations_completed': aspirations_completed,
'education_completed': education_completed,
'experience_completed': experience_completed,
'personality_completed': personality_completed,
'best_modules': best_modules_html,
'aspirations': aspirations_html.lower(),
'interests': interests_html.lower(),
'skills': skills_and_knowledge_html.lower(),
'two_emotions_from_two_traits': emotions_html,
'two_strengths_from_two_traits_at_work': strengths_at_work_html,
'involvements': involvements_html,
'two_stengths_from_two_traits_as_a_friend': strengths_as_a_friend_html,
'two_best_from_two_traits': personality_best_html,
'advice': advice_html,
# Sidebar
'gender': app_datastore.get_user(self.session['student_id']).gender,
'country': app_datastore.get_user(self.session['student_id']).country,
'date_of_birth': app_datastore.get_user(self.session['student_id']).date_of_birth,
'website': app_datastore.get_user(self.session['student_id']).website,
'social_networks': social_networks_html
}
template = jinja_environment.get_template('snapshot.html')
self.response.out.write(template.render(template_values))
else:
self.redirect(app_domain)
def get_symmetrical(std_id):
# populate the list of user to be compare with
compare_list = app_datastore.get_other_records()
symmetrical_list = {}
index = 0
num_of_matching_asp = 0
total_num_of_compare_std_asp = 0
num_of_matching_personality = 0
# loop through the list to find the common connection
curr_user_asp_list = app_datastore.get_aspirations(std_id).aspirations
curr_user_personality_list = app_datastore.get_personality(std_id).words
curr_user_two_temp = app_datastore.get_personality(std_id).two_dominant_temperaments_both
# for loop each item for each other user
for other_user in compare_list:
if (
app_datastore.asp_exists(other_user.student_id)
and app_datastore.personality_exists(other_user.student_id)
and app_datastore.experience_exists(other_user.student_id)
and app_datastore.education_exists(other_user.student_id)
):
try:
other_user_two_temp = app_datastore.get_personality(
other_user.student_id
).two_dominant_temperaments_both
if other_user.student_id == std_id:
pass
elif not similar_temperaments(curr_user_two_temp, other_user_two_temp):
pass
else:
num_of_matching_asp = 0
total_num_of_compare_std_asp = 0
num_of_matching_personality = 0
try:
other_asp = app_datastore.get_aspirations(other_user.student_id).aspirations
other_personality = app_datastore.get_personality(other_user.student_id).words
# count the aspiration part
for asp in curr_user_asp_list:
compare = difflib.get_close_matches(asp, other_asp, n=20, cutoff=0.8)
num_of_matching_asp += len(compare)
total_num_of_compare_std_asp = len(other_asp)
# count the personality part
for personality in curr_user_personality_list:
compare = difflib.get_close_matches(personality, other_personality, n=40, cutoff=1)
num_of_matching_personality += len(compare)
# cal using the formula then include the user if more than 80
formula = (
float(
(
float(num_of_matching_asp / total_num_of_compare_std_asp)
+ float(num_of_matching_personality / 40.0)
)
/ 2.0
)
* 100.0
)
result = round(formula, 1)
symmetrical_list[other_user.student_id] = result
except Exception:
pass
except Exception:
pass
# check if the 2 temperament are the same
else:
pass
sorted_dict = sorted(symmetrical_list, key=symmetrical_list.get, reverse=True)
result_dict = {}
place_index = 0
for x in xrange(0, len(sorted_dict)):
place_index = x + 1
p_percent = "person_" + str(place_index) + "_percent"
p_name = "person_" + str(place_index) + "_name"
p_dob = "person_" + str(place_index) + "_dob"
p_gender = "person_" + str(place_index) + "_gender"
p_country = "person_" + str(place_index) + "_country"
p_major = "person_" + str(place_index) + "_major"
p_faculty = "person_" + str(place_index) + "_faculty"
p_skills = "person_" + str(place_index) + "_skills"
p_interests = "person_" + str(place_index) + "_interests"
p_involvements = "person_" + str(place_index) + "_involvements"
p_module = "person_" + str(place_index) + "_best_modules"
p_advice = "person_" + str(place_index) + "_advice"
p_aspirations = "person_" + str(place_index) + "_aspirations"
p_networks = "person_" + str(place_index) + "_networks"
p_website = "person_" + str(place_index) + "_website"
p_pic = "person_" + str(place_index) + "_pic"
p_email = "person_" + str(place_index) + "_email"
result_dict[p_percent] = int(round(symmetrical_list.get(sorted_dict[index])))
result_dict[p_name] = app_datastore.get_user(sorted_dict[index]).name
result_dict[p_dob] = app_datastore.get_user(sorted_dict[index]).date_of_birth
result_dict[p_gender] = app_datastore.get_user(sorted_dict[index]).gender
result_dict[p_country] = app_datastore.get_user(sorted_dict[index]).country
result_dict[p_major] = app_datastore.get_user(sorted_dict[index]).first_major
if app_datastore.get_user(sorted_dict[index]).second_major != "":
result_dict[p_major] += " and " + app_datastore.get_user(sorted_dict[index]).second_major
result_dict[p_faculty] = app_datastore.get_user(sorted_dict[index]).faculty
result_dict[p_skills] = app_datastore.prepare_list(
app_datastore.get_experience(sorted_dict[index]).skills_and_knowledge
)
result_dict[p_interests] = app_datastore.prepare_list(
app_datastore.get_experience(sorted_dict[index]).interests
)
result_dict[p_involvements] = app_datastore.prepare_list(
app_datastore.get_experience(sorted_dict[index]).involvements
)
result_dict[p_module] = app_datastore.prepare_list(app_datastore.get_education(sorted_dict[index]).best_modules)
result_dict[p_advice] = app_datastore.prepare_list(app_datastore.get_experience(sorted_dict[index]).advices)
result_dict[p_aspirations] = app_datastore.prepare_list(
app_datastore.get_aspirations(sorted_dict[index]).aspirations
)
result_dict[p_networks] = app_datastore.prepare_list(app_datastore.get_user(sorted_dict[index]).social_networks)
result_dict[p_website] = app_datastore.get_user(sorted_dict[index]).website
result_dict[p_pic] = app_datastore.get_pic_url(sorted_dict[index])
result_dict[p_email] = app_datastore.get_user(sorted_dict[index]).email
index += 1
return result_dict