def insert_version(self, Code_Version, Modele):
version = Version(Code_Version = Code_Version, Id_Modele= Modele)
version.save()
pass
def editor_save_run(message):
room = get_room_or_error(message["room"], message.user)
code = message["code"]
# run the code with test cases of the exercise
result = compile_code(code, room.exercise)
# result2 = compile_code2(code,room.exercise)
#
# print(str(result))
if result["overall_success"] == True:
# print("all pass")
overall_success = True
else:
overall_success = False
# print("failed")
room.code = message["code"]
room.save()
result_json = json.dumps(result)
version = Version()
try:
version_tree = analyser(code)
version_tree_json = json.dumps(version_tree)
version.version_tree = version_tree_json
except Exception as e:
# version tree cannot be generated
version.version_tree = ""
version.code = message["code"]
version.room = room
version.exercise = room.exercise
version.result = result_json
version.overall_success = overall_success
version.save()
# when it is a success submission
if overall_success:
student = Student.objects.get(user=message.user)
# add complete student to exercise
room.exercise.complete_student.add(student)
room.exercise.save()
data_matrix = []
version_list = Version.objects.filter(exercise=room.exercise,
overall_success=True)
student = Student.objects.get(user=message.user)
profile_tree = json.loads(student.profile_tree)
# reduce to 0 and 1
reduce_version_tree = reduce_tree(version_tree)
# udpate profile tree
new_profile_tree = add_tree(profile_tree, reduce_version_tree)
student.profile_tree = json.dumps(new_profile_tree)
student.save()
# will only run when the number of success submission is >= limit
if len(version_list) >= CONST_MIN_VERSION:
# remove all old clusters
Cluster.objects.filter(exercise=room.exercise).delete()
cluster_result = clustering(version_list)
print(cluster_result)
cluster_list = cluster_result["cluster_list"]
label = cluster_result["label"]
common_skill = cluster_result["common_skill"]
cluster_object_list = []
# create new cluster
for cluster in cluster_list:
new_cluster = Cluster()
new_cluster.exercise = room.exercise
# print(cluster["necessary_skill"])
new_cluster.necessary_skill = json.dumps(
cluster["necessary_skill"])
new_cluster.redundant_skill = json.dumps(
cluster["redundant_skill"])
new_cluster.center = ','.join(
map(str, cluster["center"].tolist()))
new_cluster.data_count = cluster["data_count"]
new_cluster.character_skill = json.dumps(
cluster["character_skill"])
new_cluster.other_skill = json.dumps(cluster["other_skill"])
new_cluster.save()
cluster_object_list.append(new_cluster)
for i in range(0, len(label)):
cluster = cluster_object_list[label[i]]
version_list[i].cluster = cluster
version_list[i].save()
room.exercise.common_skill = json.dumps(common_skill)
room.exercise.save()
#
message.reply_channel.send({
"text": json.dumps(result),
})