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				https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
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	Added l3 and attenuator functions
Signed-off-by: tarun-candela <tarunkumar.madabathula@candelatech.com>
This commit is contained in:
		| @@ -11,6 +11,7 @@ from scp import SCPClient | ||||
| from tabulate import tabulate | ||||
| from itertools import islice | ||||
| import csv | ||||
| import pandas as pd | ||||
|  | ||||
| sys.path.append(os.path.join(os.path.abspath(__file__ + "../../../"))) | ||||
| lfcli_base = importlib.import_module("py-json.LANforge.lfcli_base") | ||||
| @@ -36,6 +37,11 @@ stascan = importlib.import_module("py-scripts.sta_scan_test") | ||||
| StaScan = stascan.StaScan | ||||
| cv_test_reports = importlib.import_module("py-json.cv_test_reports") | ||||
| lf_report = cv_test_reports.lanforge_reports | ||||
| attenuator_serial = importlib.import_module("py-scripts.attenuator_serial") | ||||
| Attenuator = attenuator_serial.AttenuatorSerial | ||||
| lf_atten_mod_test = importlib.import_module("py-scripts.lf_atten_mod_test") | ||||
| Attenuator_modify = lf_atten_mod_test.CreateAttenuator | ||||
|  | ||||
|  | ||||
|  | ||||
| class lf_libs: | ||||
| @@ -1447,6 +1453,108 @@ class lf_libs: | ||||
|             return ap_lanforge_6g_channel_dict[channel] | ||||
|         else: | ||||
|             return None | ||||
|     def attenuator_serial(self): | ||||
|         self.obj = Attenuator( | ||||
|             lfclient_host= self.manager_ip, | ||||
|             lfclient_port=self.manager_http_port | ||||
|         ) | ||||
|         val = self.obj.show() | ||||
|         return val | ||||
|  | ||||
|     def attenuator_modify(self, serno, idx, val): | ||||
|         atten_obj = Attenuator_modify(self.manager_ip, self.manager_http_port, serno, idx, val) | ||||
|         atten_obj.build() | ||||
|  | ||||
|     def read_csv_individual_station_throughput(self, dir_name, option, individual_station_throughput=True, kpi_csv=False, | ||||
|                                                file_name="/csv-data/data-Combined_bps__60_second_running_average-1.csv", | ||||
|                                                batch_size="0"): | ||||
|         try: | ||||
|             df = pd.read_csv("../reports/" + str(dir_name) + file_name, | ||||
|                             sep=r'\t', engine='python') | ||||
|             print("csv file opened") | ||||
|         except FileNotFoundError: | ||||
|             print("csv file does not exist") | ||||
|             return False | ||||
|  | ||||
|         if kpi_csv: | ||||
|             count = 0 | ||||
|             dict_data = {"Down": {}, "Up": {}, "Both": {}} | ||||
|             csv_short_dis = df.loc[:,"short-description"] | ||||
|             csv_num_score = df.loc[:,"numeric-score"] | ||||
|             for i in range(len(batch_size.split(","))): | ||||
|                 dict_data["Down"][csv_short_dis[count + 0]] = csv_num_score[count + 0] | ||||
|                 dict_data["Up"][csv_short_dis[count + 1]] = csv_num_score[count + 1] | ||||
|                 dict_data["Both"][csv_short_dis[count + 2]] = csv_num_score[count + 2] | ||||
|                 count += 3 | ||||
|  | ||||
|         if individual_station_throughput: | ||||
|             dict_data = {} | ||||
|             if option == "download": | ||||
|                 csv_sta_names = df.iloc[[0]].values.tolist() | ||||
|                 csv_throughput_values = df.iloc[[1]].values.tolist() | ||||
|             elif option == "upload": | ||||
|                 csv_sta_names = df.iloc[[0]].values.tolist() | ||||
|                 csv_throughput_values = df.iloc[[2]].values.tolist() | ||||
|             else: | ||||
|                 print("Provide proper option: download or upload") | ||||
|                 return | ||||
|  | ||||
|             sta_list = csv_sta_names[0][0][:-1].replace('"', '').split(",") | ||||
|             th_list = list(map(float, csv_throughput_values[0][0].split(","))) | ||||
|             for i in range(len(sta_list)): | ||||
|                 dict_data[sta_list[i]] = th_list[i] | ||||
|  | ||||
|         return dict_data | ||||
|  | ||||
|     def create_layer3(self, side_a_min_rate, side_a_max_rate, side_b_min_rate, side_b_max_rate, | ||||
|                       traffic_type, sta_list, side_b=""): | ||||
|         # checked | ||||
|         if side_b == "": | ||||
|             side_b = self.wan_ports | ||||
|         print(sta_list) | ||||
|         print(type(sta_list)) | ||||
|         print(side_b) | ||||
|         print(type(side_b)) | ||||
|         local_realm = realm.Realm(lfclient_host=self.manager_ip, lfclient_port=self.manager_http_port) | ||||
|         cx_profile = local_realm.new_l3_cx_profile() | ||||
|         cx_profile.host = self.manager_ip | ||||
|         cx_profile.port = self.manager_http_port | ||||
|         layer3_cols = ['name', 'tx bytes', 'rx bytes', 'tx rate', 'rx rate'] | ||||
|         cx_profile.side_a_min_bps = side_a_min_rate | ||||
|         cx_profile.side_a_max_bps = side_a_max_rate | ||||
|         cx_profile.side_b_min_bps = side_b_min_rate | ||||
|         cx_profile.side_b_max_bps = side_b_max_rate | ||||
|  | ||||
|         # create | ||||
|         cx_profile.create(endp_type=traffic_type, side_a=sta_list, | ||||
|                                side_b=side_b, | ||||
|                                sleep_time=0) | ||||
|         cx_profile.start_cx() | ||||
|  | ||||
|     def l3_cleanup(self): | ||||
|         local_realm = realm.Realm(lfclient_host=self.manager_ip, lfclient_port=self.manager_http_port) | ||||
|         local_realm.remove_all_cxs(remove_all_endpoints=True) | ||||
|  | ||||
|     def get_cx_list(self): | ||||
|         local_realm = realm.Realm(lfclient_host=self.manager_ip, lfclient_port=self.manager_http_port) | ||||
|         layer3_result = local_realm.cx_list() | ||||
|         layer3_names = [item["name"] for item in layer3_result.values() if "_links" in item] | ||||
|         print(layer3_names) | ||||
|         return layer3_names | ||||
|  | ||||
|     def allure_report_table_format(self, dict_data=None, key=None, value=None, name=None):#, value_on_same_table=True): | ||||
|         report_obj = Report() | ||||
|         data_table, dict_table = "", {} | ||||
|         dict_table[key] = list(dict_data.keys()) | ||||
|         dict_table[value] = list(dict_data.values()) | ||||
|         try: | ||||
|             data_table = report_obj.table2(table=dict_table, headers='keys') | ||||
|         except Exception as e: | ||||
|             print(e) | ||||
|         if name != None: | ||||
|             allure.attach(name=name, body=str(data_table)) | ||||
|  | ||||
|  | ||||
|  | ||||
|  | ||||
|  | ||||
|   | ||||
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