def addPost(request, instance=None):
company = getCurrentCompany(request)
if company.profileCompleted == False:
return redirect('company:editprofile')
if instance is None:
formInitialData = {'company': company}
form = addPostForm(initial=formInitialData)
else:
formInitialData = {'company': company}
form = addPostForm(initial=formInitialData, instance=instance)
if request.method == 'POST':
form = addPostForm(request.POST, instance=instance)
if form.is_valid():
newPost = form.save()
collection = connectDatabase()
if instance is None:
result = collection.update(
{'id': int(newPost.id)},
{'$set': {
'appliedStudents': [],
'selectedStudents': []
}})
return redirect('company:home')
elif not (instance is None):
return render(request, 'company/editpost.html', {'form': form})
return render(request, 'company/addpost.html', {'form': form})
def getAppliedStudents(postid):
collection = connectDatabase()
result = list(
collection.find({'id': int(postid)}, {
'appliedStudents': 1,
'_id': 0
}))[0]['appliedStudents']
applied_students = []
if len(result) > 0:
for id in result:
try:
current_student = Student.objects.filter(id=int(id))[0]
applied_students.append(current_student)
except IndexError:
print("Student with " + str(id) + " is deleted")
post_technology = Post.objects.filter(id=int(postid))[0].postTechnology
applied_students_marks = []
for student in applied_students:
current_students_marks_total = 0
for field in Student._meta.get_fields():
# normalizing the marks out of 100 and multiplying with weights. if current marks are posted technologythen weight = 0.7 else 0.2
if 'Marks' in field.name:
current_field = field.name.replace("Marks", "")
if current_field == post_technology:
current_students_marks_total += (
getattr(student, field.name) * 100 / 70) * 0.7
else:
current_students_marks_total += (
getattr(student, field.name) * 100 / 70) * 0.2
elif field.name == 'cpi':
current_students_marks_total += (getattr(student, field.name) *
100 / 10) * 0.2
elif field.name == 'aptitude':
current_students_marks_total += getattr(student,
field.name) * 0.2
# applying multiple linear regression formula : y = b1x1 + b2x2 + ... where x are marks, b are weights
applied_students_marks.append(current_students_marks_total)
# associatingstudents with their ML score
appliedStudents = list(zip(applied_students, applied_students_marks))
# sorting the applied students in descending order
sorted_applied_students = [
student[0]
for student in sorted(appliedStudents,
key=lambda appliedStudents: appliedStudents[1],
reverse=True)
]
return sorted_applied_students
def getAppliedPosts(studentId):
collection = connectDatabase()
cursor = [
id['id'] for id in list(
collection.find({'appliedStudents': int(studentId)}, {
"id": 1,
'_id': 0
}))
]
return cursor
def getSelectedStudents(postid):
collection = connectDatabase()
result = list(
collection.find({'id': int(postid)}, {
'selectedStudents': 1,
'_id': 0
}))[0]['selectedStudents']
selected_students = []
if len(result) > 0:
selected_students = [
Student.objects.filter(id=int(id))[0] for id in result
]
return selected_students
def selectStudent(postid, studentid):
collection = connectDatabase()
cursor = list(
collection.find({"id": int(postid)}, {
"selectedStudents": 1,
'_id': 0
}))[0]['selectedStudents']
if int(studentid) not in cursor:
cursor.append(int(studentid))
result = collection.update({'id': int(postid)},
{'$set': {
'selectedStudents': cursor
}})
def showResult(request, postid, studentid):
collection = connectDatabase()
cursor = list(
collection.find({'id': int(postid)}, {
"selectedStudents": 1,
'_id': 0
}))[0]['selectedStudents']
message, error_message = '', ''
if int(studentid) in cursor:
message = 'Congratulations you are selected :)'
else:
error_message = 'Sorry you are not selected :('
return render(request, 'student/showresult.html', {
'message': message,
'errormessage': error_message
})