def ratings(request, group_id, node_id):
rating=request.POST.get('rating', '')
node_obj = node_collection.one({'_id': ObjectId(node_id)})
ratedict = {}
already_rated_by_user = False
if rating:
ratedict['score']=int(rating)
ratedict['user_id']=request.user.id
ratedict['ip_address']=request.META['REMOTE_ADDR']
for each_rating in node_obj.rating:
if each_rating['user_id'] == request.user.id:
each_rating['score']=int(rating)
already_rated_by_user = True
break
if not already_rated_by_user:
node_obj.rating.append(ratedict)
node_obj.save(groupid=group_id)
result = get_node_ratings(request,node_id)
# vars=RequestContext(request,{'node':node})
# template="ndf/rating.html"
# return render_to_response(template, vars)
return HttpResponse(json.dumps(result))
def ratings(request, group_id, node_id):
rating = request.POST.get('rating', '')
node_obj = node_collection.one({'_id': ObjectId(node_id)})
ratedict = {}
already_rated_by_user = False
if rating:
ratedict['score'] = int(rating)
ratedict['user_id'] = request.user.id
ratedict['ip_address'] = request.META['REMOTE_ADDR']
for each_rating in node_obj.rating:
if each_rating['user_id'] == request.user.id:
each_rating['score'] = int(rating)
already_rated_by_user = True
break
if not already_rated_by_user:
node_obj.rating.append(ratedict)
node_obj.save(groupid=group_id)
result = get_node_ratings(request, node_id)
# vars=RequestContext(request,{'node':node})
# template="ndf/rating.html"
# return render_to_response(template, vars)
return HttpResponse(json.dumps(result))
def ratings(request, group_id, node_id):
rating_given = request.POST.get('rating', '')
node_obj = node_collection.one({'_id': ObjectId(node_id)})
ratedict = {}
# # functions to modify counter collection for analytics
# # counter_obj=counter_collection.one({'user_id':node_obj.created_by,'group_id':ObjectId(group_id)})
# counter_obj = Counter.get_counter_obj(node_obj.created_by, ObjectId(group_id))
# unique=True
# blog=None
# if len(node_obj.type_of)!=0:
# blog=node_collection.one({'_id':node_obj.type_of[0]})
# for rat in node_obj.rating:
# if rat['user_id']==request.user.id:
# unique=False
# if blog:
# if blog.name=='Blog page':
# # total_rating = counter_obj.rating_count_received_on_notes*counter_obj.avg_rating_received_on_notes
# # get total rating by multiplying
# total_rating = counter_obj['page']['blog']['rating_count_received'] * counter_obj['page']['blog']['avg_rating_gained']
# total_rating = total_rating - rat['score']
# total_rating = total_rating + int(rating_given)
# if counter_obj['page']['blog']['rating_count_received'] != 0:
# # counter_obj.avg_rating_received_on_notes=total_rating/counter_obj.rating_count_received_on_notes
# counter_obj['page']['blog']['avg_rating_gained'] = total_rating / counter_obj['page']['blog']['rating_count_received']
# counter_obj.save()
# if blog == None:
# # total_rating = counter_obj.rating_count_received_on_files*counter_obj.avg_rating_received_on_files
# total_rating = counter_obj['file']['rating_count_received'] * counter_obj['file']['avg_rating_gained']
# total_rating = total_rating - rat['score']
# total_rating = total_rating + int(rating_given)
# # if counter_obj.rating_count_received_on_files!=0:
# if counter_obj['file']['rating_count_received'] != 0:
# # counter_obj.avg_rating_received_on_files=total_rating/counter_obj.rating_count_received_on_files
# counter_obj['file']['avg_rating_gained'] = total_rating / counter_obj['file']['rating_count_received']
# counter_obj.save()
# if unique:
# if blog:
# if blog.name=='Blog page':
# # total_rating=counter_obj.rating_count_received_on_notes*counter_obj.avg_rating_received_on_notes
# total_rating=counter_obj['page']['blog']['rating_count_received'] * counter_obj['page']['blog']['avg_rating_gained']
# total_rating = total_rating + int(rating_given)
# # counter_obj.rating_count_received_on_notes+=1
# counter_obj['page']['blog']['rating_count_received'] += 1
# # counter_obj.avg_rating_received_on_notes=total_rating/counter_obj.rating_count_received_on_notes
# counter_obj['page']['blog']['avg_rating_gained'] = total_rating / counter_obj['page']['blog']['rating_count_received']
# counter_obj.save()
# if blog == None:
# # total_rating = counter_obj.rating_count_received_on_files*counter_obj.avg_rating_received_on_files
# total_rating = counter_obj['file']['rating_count_received'] * counter_obj['file']['avg_rating_gained']
# total_rating = total_rating + int(rating_given)
# # counter_obj.rating_count_received_on_files += 1
# counter_obj['file']['rating_count_received'] += 1
# # counter_obj.avg_rating_received_on_files = total_rating/counter_obj.rating_count_received_on_files
# counter_obj['file']['avg_rating_gained'] = total_rating / counter_obj['file']['rating_count_received']
# counter_obj.save()
# done modifying ratings for counter collection
active_user_ids_list = [request.user.id]
if GSTUDIO_BUDDY_LOGIN:
active_user_ids_list += Buddy.get_buddy_userids_list_within_datetime(
request.user.id, datetime.datetime.now())
# removing redundancy of user ids:
active_user_ids_list = dict.fromkeys(active_user_ids_list).keys()
# print "active_user_ids_list: ", active_user_ids_list
Counter.update_ratings(node_obj,
group_id,
rating_given,
active_user_id_or_list=active_user_ids_list)
if rating_given:
for each_active_user_id in active_user_ids_list:
already_rated_by_user = False
ratedict['score'] = int(rating_given)
ratedict['user_id'] = each_active_user_id
ratedict['ip_address'] = request.META['REMOTE_ADDR']
for each_rating in node_obj.rating:
if each_rating['user_id'] == each_active_user_id:
each_rating['score'] = int(rating_given)
already_rated_by_user = True
break
if not already_rated_by_user:
node_obj.rating.append(ratedict.copy())
node_obj.save(groupid=group_id)
result = get_node_ratings(request, node_id)
# vars=RequestContext(request,{'node':node})
# template="ndf/rating.html"
# return render_to_response(template, vars)
return HttpResponse(json.dumps(result))
def ratings(request, group_id, node_id):
rating_given = request.POST.get('rating', '')
node_obj = node_collection.one({'_id': ObjectId(node_id)})
ratedict = {}
# # functions to modify counter collection for analytics
# # counter_obj=counter_collection.one({'user_id':node_obj.created_by,'group_id':ObjectId(group_id)})
# counter_obj = Counter.get_counter_obj(node_obj.created_by, ObjectId(group_id))
# unique=True
# blog=None
# if len(node_obj.type_of)!=0:
# blog=node_collection.one({'_id':node_obj.type_of[0]})
# for rat in node_obj.rating:
# if rat['user_id']==request.user.id:
# unique=False
# if blog:
# if blog.name=='Blog page':
# # total_rating = counter_obj.rating_count_received_on_notes*counter_obj.avg_rating_received_on_notes
# # get total rating by multiplying
# total_rating = counter_obj['page']['blog']['rating_count_received'] * counter_obj['page']['blog']['avg_rating_gained']
# total_rating = total_rating - rat['score']
# total_rating = total_rating + int(rating_given)
# if counter_obj['page']['blog']['rating_count_received'] != 0:
# # counter_obj.avg_rating_received_on_notes=total_rating/counter_obj.rating_count_received_on_notes
# counter_obj['page']['blog']['avg_rating_gained'] = total_rating / counter_obj['page']['blog']['rating_count_received']
# counter_obj.save()
# if blog == None:
# # total_rating = counter_obj.rating_count_received_on_files*counter_obj.avg_rating_received_on_files
# total_rating = counter_obj['file']['rating_count_received'] * counter_obj['file']['avg_rating_gained']
# total_rating = total_rating - rat['score']
# total_rating = total_rating + int(rating_given)
# # if counter_obj.rating_count_received_on_files!=0:
# if counter_obj['file']['rating_count_received'] != 0:
# # counter_obj.avg_rating_received_on_files=total_rating/counter_obj.rating_count_received_on_files
# counter_obj['file']['avg_rating_gained'] = total_rating / counter_obj['file']['rating_count_received']
# counter_obj.save()
# if unique:
# if blog:
# if blog.name=='Blog page':
# # total_rating=counter_obj.rating_count_received_on_notes*counter_obj.avg_rating_received_on_notes
# total_rating=counter_obj['page']['blog']['rating_count_received'] * counter_obj['page']['blog']['avg_rating_gained']
# total_rating = total_rating + int(rating_given)
# # counter_obj.rating_count_received_on_notes+=1
# counter_obj['page']['blog']['rating_count_received'] += 1
# # counter_obj.avg_rating_received_on_notes=total_rating/counter_obj.rating_count_received_on_notes
# counter_obj['page']['blog']['avg_rating_gained'] = total_rating / counter_obj['page']['blog']['rating_count_received']
# counter_obj.save()
# if blog == None:
# # total_rating = counter_obj.rating_count_received_on_files*counter_obj.avg_rating_received_on_files
# total_rating = counter_obj['file']['rating_count_received'] * counter_obj['file']['avg_rating_gained']
# total_rating = total_rating + int(rating_given)
# # counter_obj.rating_count_received_on_files += 1
# counter_obj['file']['rating_count_received'] += 1
# # counter_obj.avg_rating_received_on_files = total_rating/counter_obj.rating_count_received_on_files
# counter_obj['file']['avg_rating_gained'] = total_rating / counter_obj['file']['rating_count_received']
# counter_obj.save()
# done modifying ratings for counter collection
active_user_ids_list = [request.user.id]
if GSTUDIO_BUDDY_LOGIN:
active_user_ids_list += Buddy.get_buddy_userids_list_within_datetime(request.user.id, datetime.datetime.now())
# removing redundancy of user ids:
active_user_ids_list = dict.fromkeys(active_user_ids_list).keys()
# print "active_user_ids_list: ", active_user_ids_list
Counter.update_ratings(node_obj, group_id, rating_given, active_user_id_or_list=active_user_ids_list)
if rating_given:
for each_active_user_id in active_user_ids_list:
already_rated_by_user = False
ratedict['score']=int(rating_given)
ratedict['user_id']=each_active_user_id
ratedict['ip_address']=request.META['REMOTE_ADDR']
for each_rating in node_obj.rating:
if each_rating['user_id'] == each_active_user_id:
each_rating['score'] = int(rating_given)
already_rated_by_user = True
break
if not already_rated_by_user:
node_obj.rating.append(ratedict.copy())
node_obj.save(groupid=group_id)
result = get_node_ratings(request,node_id)
# vars=RequestContext(request,{'node':node})
# template="ndf/rating.html"
# return render_to_response(template, vars)
return HttpResponse(json.dumps(result))
