def get_num_ssd():
out = cli.list_device()
numSSD = 0
for device in json_parser.get_data(out)['devicelist']:
if device['type'] == "SSD":
numSSD += 1
return numSSD
def first_task():
url = 'https://jsonplaceholder.typicode.com/users'
response = json_parser.get_data(url)
json_parser.submit_headers(response)
json_parser.submit_json(response)
json_parser.print_free_space()
json_parser.parse_json_data(response)
def get_checkpoint_status(arrayId=0):
out = cli.send_request("wbt get_journal_status --array " +
TEST_SETUP_POS.get_arrayname(arrayId))
if json_parser.get_response_code(out) != 0:
return -1
else:
total_info = json_parser.get_data(out)
return total_info["journalStatus"]["checkpointStatus"]["status"]
def get_log_buffer_size(arrayId=0):
out = cli.send_request("wbt get_journal_status --array " +
TEST_SETUP_POS.get_arrayname(arrayId))
if json_parser.get_response_code(out) != 0:
return -1
else:
total_info = json_parser.get_data(out)
return total_info["journalStatus"]["logBufferStatus"][
"logBufferSizeInBytes"]
import data_values import json_parser import json_parser_individuals import json import values_cleaner import datetime today = datetime.datetime.now() file_date = "_" + str(today.day) + "_" + str(today.month) + "_" + str(today.year) foldername = file_date[1:] data = dict() try: data["adityabirla"] = values_cleaner.clean_aditya(json_parser.get_data(fund_name = "adityabirla", file_type = ".xlsx", index = 2, start = 0, end = 12, values = data_values.aditya_values , date_filter = None, data_filter = None)) except: data["adityabirla"] = [] try: data["axis"] = values_cleaner.clean_axis(json_parser.get_data_4(fund_name = "axis", file_type = ".html", index = 1, index2 = 0, values = data_values.axis_values, filter = "yes")) except: data["axis"] = [] try: data["baroda"] = values_cleaner.clean_baroda(json_parser.get_data_3(fund_name = "baroda", file_type = ".xls", index = 5, values = data_values.baroda_values, name_filter = None, r_b_filter = "yes", size = 12)) except: data["baroda"] = [] try: data["bnpparibas"] = values_cleaner.clean_bnp(json_parser.get_data(fund_name = "bnpparibas", file_type = ".xls", index = 2, start = 0, end = 12, values = data_values.bnp_values , date_filter = None, data_filter = None))