Python get_data Exemples

Exemple #1

Fichier : TEST_SETUP_POS.py Projet : yyu-nim/poseidonos

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

Exemple #2

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)

Exemple #3

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"]

Exemple #4

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"]

Exemple #5

Fichier : main.py Projet : Nagendra1693/TER

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))