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# Copyright 2011 the Melange authors.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# See the License for the specific language governing permissions and
# limitations under the License.
"""GCIStudentRanking logic methods."""
import logging
import re
from google.appengine.ext import db
from django.utils.datastructures import SortedDict
from soc.modules.gci.models.profile import GCIStudentInfo
from soc.modules.gci.models.score import GCIScore
from soc.modules.gci.models.task import POINTS
from soc.modules.gci.views import forms
from soc.modules.gci.views.helper import url_names
def get(profile):
"""Gets the score entity associated with the specified profile.
profile: GCIProfile entity to retrieve a score for
query = GCIScore.all().ancestor(profile)
return query.get()
def updateScore(task):
"""Updates score for a student who worked on the specified task.
task: GCITask that has been completed and should be taken into account in
the score.
""""updateScore starts for task %s", task.key().id())
if task.status != 'Closed':
logging.warning('Trying to update score for a task that is not closed.')
student = task.student
program = task.program
task_key = task.key()
def update_ranking_txn():"updateScore txn starts for task %s",
query = GCIScore.all().ancestor(student)
score = query.get()
# create a new GCIStore entity if one does not exist yet
if not score:
score = GCIScore(parent=student, program=program)
# check if the task has been included in the score
if task_key not in score.tasks:
if not task.points_invalidated:
score.points += POINTS[task.difficulty_level]
query = GCIStudentInfo.all().ancestor(student)
student_info = query.get()
# set in student info that the student has completed a task
if not student_info.task_closed:
student_info.task_closed = True
def calculateScore(student, tasks, program):
"""Calculates score for the specified student with the specified
list of tasks.
It is assumed that all the tasks from the list belong to the student. Any
existing score for this student will be overwritten.
student: GCIProfile entity representing the student
tasks: List of GCITasks that have been completed by the student
program: GCIProgram entity that all the tasks refer to
# do not calculate score for students who have not completed any tasks
if not tasks:
return None
points = 0
for task in tasks:
if not task.points_invalidated:
points += POINTS[task.difficulty_level]
def calculate_score_txn():
query = GCIScore.all().ancestor(student)
score = query.get()
# create a new GCIStore entity if one does not exist yet
if not score:
score = GCIScore(parent=student, program=program)
score.points = points
score.tasks = [task.key() for task in tasks]
# set that the student closed a task in GCIStudentInfo
query = GCIStudentInfo.all().ancestor(student)
student_info = query.get()
student_info.task_closed = True
return db.run_in_transaction(calculate_score_txn)
def allScoresForProgramQuery(program):
"""Returns the query to fetch all the scores for the specified program.
program: GCIProgram entity for which the query should filter the program
return GCIScore.all().filter('program =', program)
def winnersForProgram(data):
"""Returns the winners for the program.
The number of winners chosen is configurable from the program edit page. The
return datastructure is a dictionary with profile keys of winners as keys
with values as dictionaries containing the name, number of task and the
points scored.
data: The RequestData object.
program = data.program
q = GCIScore.all()
q.filter('program', program)
q.filter('points >', 0)
scores = q.fetch(program.nr_winners)
profile_keys = [s.parent_key() for s in scores]
profiles = db.get(profile_keys)
winners = SortedDict()
for score in scores:
winners[score.parent_key()] = {
'score': score,
for profile in profiles:
winner = winners[profile.key()]
winner['profile'] = profile
winner['completed_tasks_link'] = data.redirect.profile(
if profile.avatar:
avatar_groups = re.findall(forms.RE_AVATAR_COLOR, profile.avatar)
# Being a bit pessimistic
if avatar_groups:
# We only want the first match, so pick group[0]
name, prefix = avatar_groups[0]
winner['avatar_name'] = '%s-%s.jpg' % (name, prefix)
winner['avatar_prefix'] = prefix
return winners