file_name = GSTUDIO_INSTITUTE_ID_SECONDARY + '-' + GSTUDIO_INSTITUTE_ID + '-' + group_name + '-' + dt + '.csv'
GSTUDIO_EXPORTED_CSVS_DIRNAME = 'gstudio-exported-users-analytics-csvs'
GSTUDIO_EXPORTED_CSVS_DIR_PATH = os.path.join('/data/', GSTUDIO_EXPORTED_CSVS_DIRNAME)
if not os.path.exists(GSTUDIO_EXPORTED_CSVS_DIR_PATH):
os.makedirs(GSTUDIO_EXPORTED_CSVS_DIR_PATH)
file_name_path = os.path.join(GSTUDIO_EXPORTED_CSVS_DIR_PATH, file_name)
column_keys_list_addons = []
# dict to keep new name key and _id as value
# {'<activity name or altnames>': <activity _id>}
column_keys_dict_addons = {}
all_activities_cur = Node.get_tree_nodes(group_obj, field_name='collection_set', level=1, get_obj=True)
# print all_activities_cur.count()
if all_activities_cur:
for each_act in all_activities_cur:
column_key_name = each_act['altnames'] if (each_act['altnames'] and each_act['altnames'].strip()) else each_act['name']
column_key_name += " [" + unicode(each_act._id) + "]"
# if column_key_name not in column_keys_list_addons:
column_keys_list_addons.append(column_key_name)
column_keys_dict_addons[column_key_name] = each_act['_id']
# column_keys_dict.update({column_key_name: 0})
# each_row_dict[column_key_name] = analytics_data["counter_obj"]["visited_nodes"].get(unicode(each_act._id), 0)
# print column_keys_list_addons
# FLAGS:
header_written = False
csv_created = 0
file_name = GSTUDIO_INSTITUTE_ID_SECONDARY + '-' + GSTUDIO_INSTITUTE_ID + '-' + group_name + '-' + dt + '.csv'
GSTUDIO_EXPORTED_CSVS_DIRNAME = 'gstudio-exported-users-analytics-csvs'
GSTUDIO_EXPORTED_CSVS_DIR_PATH = os.path.join('/data/', GSTUDIO_EXPORTED_CSVS_DIRNAME)
if not os.path.exists(GSTUDIO_EXPORTED_CSVS_DIR_PATH):
os.makedirs(GSTUDIO_EXPORTED_CSVS_DIR_PATH)
file_name_path = os.path.join(GSTUDIO_EXPORTED_CSVS_DIR_PATH, file_name)
column_keys_list_addons = []
# dict to keep new name key and _id as value
# {'<activity name or altnames>': <activity _id>}
column_keys_dict_addons = {}
all_activities_cur = Node.get_tree_nodes(group_obj, field_name='collection_set', level=1, get_obj=True)
#print all_activities_cur.count()
if all_activities_cur:
for each_act in all_activities_cur:
column_key_name = each_act['altnames'] if (each_act['altnames'] and each_act['altnames'].strip()) else each_act['name']
column_key_name += " [" + unicode(each_act._id) + "]"
# if column_key_name not in column_keys_list_addons:
column_keys_list_addons.append(column_key_name)
column_keys_dict_addons[column_key_name] = each_act['_id']
# column_keys_dict.update({column_key_name: 0})
# each_row_dict[column_key_name] = analytics_data["counter_obj"]["visited_nodes"].get(unicode(each_act._id), 0)
print column_keys_list_addons
# FLAGS:
header_written = False
csv_created = 0
'''
Script which updates the reources with corresponding group_id
'''
from gnowsys_ndf.ndf.models import node_collection,triple_collection,Node
from bson import ObjectId
OER_GROUPS = ['Mathematics','Science','English']
grp_gst_id = Node.get_name_id_from_type('Group','GSystemType')[1]
oergrp_nds = node_collection.find({'_type':'Group','member_of':grp_gst_id,'name':{'$in':OER_GROUPS}})
for eachnd in oergrp_nds:
units_under_modules = Node.get_tree_nodes(eachnd._id,'collection_set',2,True)
for each_unit in units_under_modules: