def recalculateGCIRanking(self, request, *args, **kwargs):
"""Recalculates student ranking for the entire program.
Args in POST dict:
cursor: Query cursor to figure out where we need to start processing
"""
key_name = '%s/%s' % (kwargs['sponsor'], kwargs['program'])
cursor = request.POST.get('cursor')
program = GCIProgram.get_by_key_name(key_name)
if not program:
logging.warning(
'Enqueued recalculate ranking task for non-existing program: %s',
key_name)
return responses.terminateTask()
# Retrieve the students for the program
q = GCIProfile.all()
q.filter('program', program)
q.filter('is_student', True)
if cursor:
q.with_cursor(cursor)
students = q.fetch(25)
for student in students:
# get all the tasks that the student has completed
task_q = GCITask.all()
task_q.filter('student', student)
task_q.filter('status', 'Closed')
tasks = task_q.fetch(1000)
# calculate score with all the tasks
score_logic.calculateScore(student, tasks, program)
# calculate org score with all the tasks
db.run_in_transaction(org_score_logic.updateOrgScoresTxn(tasks))
if students:
# schedule task to do the rest of the students
params = {
'cursor': q.cursor(),
}
taskqueue.add(queue_name='gci-update',
url=request.path,
params=params)
return responses.terminateTask()
def calculateScore(profile):
"""Calculates the score for the student associated with a GCIProfile.
Args:
profile: A GCIProfile associated with some student.
"""
# TODO(nathaniel): The string literals in this function should be constants
# declared somewhere sensible.
# Get all the tasks that the student has completed.
query = task_model.GCITask.all()
query.filter('student', profile)
query.filter('status', 'Closed')
tasks = query.fetch(1000)
# Calculate org score with all the tasks.
db.run_in_transaction(org_score_logic.updateOrgScoresTxn(tasks))
def recalculateGCIRanking(self, request, *args, **kwargs):
"""Recalculates student ranking for the entire program.
Args in POST dict:
cursor: Query cursor to figure out where we need to start processing
"""
key_name = "%s/%s" % (kwargs["sponsor"], kwargs["program"])
cursor = request.POST.get("cursor")
program = GCIProgram.get_by_key_name(key_name)
if not program:
logging.warning("Enqueued recalculate ranking task for non-existing program: %s", key_name)
return responses.terminateTask()
# Retrieve the students for the program
q = GCIProfile.all()
q.filter("program", program)
q.filter("is_student", True)
if cursor:
q.with_cursor(cursor)
students = q.fetch(25)
for student in students:
# get all the tasks that the student has completed
task_q = GCITask.all()
task_q.filter("student", student)
task_q.filter("status", "Closed")
tasks = task_q.fetch(1000)
# calculate score with all the tasks
score_logic.calculateScore(student, tasks, program)
# calculate org score with all the tasks
db.run_in_transaction(org_score_logic.updateOrgScoresTxn(tasks))
if students:
# schedule task to do the rest of the students
params = {"cursor": q.cursor()}
taskqueue.add(queue_name="gci-update", url=request.path, params=params)
return responses.terminateTask()
