def METHOD_NAME(self, path_to_excel, path_to_out_json=None, path_to_log=None):
    ''' Find the Success percentage of each output report '''
    path = path_to_excel
    out_obj = []
    excel_obj = []
    # Output Sanitization
    s = pandas.read_excel(path, engine='openpyxl', sheet_name='Status Sheet')
    cols = 0
    cols_id = None
    cols_status = None
    for row in range(s.index.size):
        if 'NsxT ID' in s and s['Status'][row] in ['SUCCESSFUL', 'PARTIAL']:
            if s['NsxT ID'][row] in ['hash', 'oneconnect'] or \
                    s['NsxT type'][row] == 'route' or \
                    s['NsxT SubType'][row] in ['oneconnect', 'one-connect'] or \
                    "Indirectly mapped" in s['Avi Object'][row]:
                value = None
            else:
                value = s['NsxT ID'][row]
            if s['NsxT type'][row] in ['pool', 'policy']:
                value = s['NsxT ID'][row].split('/')[-1]
            if value:
                print(value+"----------------------------")
                excel_obj.append(value)
    with open(path_to_out_json, 'r') as file_strem:
        file_strem = json.load(file_strem)
        for entity in file_strem:
            print(entity)
            print("----")
            if entity != 'META' and entity != 'VsVip' and entity != \
                    "OneConnect" and entity != "hash_algorithm":
                for obj in file_strem[entity]:
                    out_obj.append(obj.get('name'))
    excel_obj.sort()
    out_obj.sort()
    log_obj = {}
    if path_to_log:
        with open(path_to_log, 'r') as file_strem:
            a = file_strem.readlines()
            try:
                b = str(a).split('$$$$$$')[-2].replace('\'', '"')
                print(b)
                log_obj = eval(b)
            except:
                pass
    obj_list = list()
    # comparing excel objects with json out objects
    obj_list = list(set(excel_obj) - set(out_obj))
    # If object read from log is dict compare
    if isinstance(log_obj, dict):
        for key in log_obj.keys():
            obj_list = list(set(obj_list) - set(log_obj[key].keys()))
    print("Object Difference between Excel sheet and output is %s" % len(obj_list))
    if obj_list:
        print("Object not Common in Both Excel and Output %s", obj_list)
        return False
    print("Excel sheet matches with Output.json")
    return True