wifi capacity test- added

wifi capacity upload dual band
wifi capacity download dual band
bidirectional dual band
all above scenarios in bridge nat and vlan mode, and in 5g and 2.4g modes
This commit is contained in:
shivamcandela
2021-07-21 15:46:52 +05:30
parent d955d25608
commit 1ed577b1d7
59 changed files with 3058 additions and 7059 deletions

View File

@@ -6,6 +6,7 @@ import json
import os
import pandas as pd
class ChamberView:
def __init__(self, lanforge_data=None, access_point_data=None, debug=True, testbed=None):
@@ -57,6 +58,15 @@ class ChamberView:
)
self.CreateDut.ssid = []
def reset_scenario(self):
self.raw_line = [
["profile_link " + self.upstream_resources + " upstream-dhcp 1 NA NA " + self.upstream_port.split(".")
[2] + ",AUTO -1 NA"],
["profile_link " + self.uplink_resources + " uplink-nat 1 'DUT: upstream LAN " + self.upstream_subnet
+ "' NA " + self.uplink_port.split(".")[2] + "," + self.upstream_port.split(".")[2] + " -1 NA"]
]
self.Chamber_View()
def Chamber_View(self):
if self.delete_old_scenario:
self.CreateChamberview.clean_cv_scenario(type="Network-Connectivity", scenario_name=self.scenario_name)
@@ -70,6 +80,23 @@ class ChamberView:
self.CreateChamberview.sync_cv()
return self.CreateChamberview, self.scenario_name
def add_stations(self, band="twog", num_stations=50, dut="NA"):
if band == "twog":
radio = ",".join(self.twog_radios)
if len(self.twog_radios) == 1:
radio = radio + ",AUTO"
# self.eap_connect.sta_prefix = self.twog_prefix
if band == "fiveg":
radio = ",".join(self.fiveg_radios)
if len(self.fiveg_radios) == 1:
radio = radio + ",AUTO"
# self.eap_connect.sta_prefix = self.fiveg_prefix
station_data = ["profile_link 1.1 STA-AUTO " + str(num_stations) + " 'DUT: " + dut + " Radio-1'" + " NA " + radio]
self.raw_line.append(station_data)
def Create_Dut(self):
self.CreateDut.setup()
self.CreateDut.add_ssids()
@@ -106,7 +133,7 @@ class ChamberView:
cli_base = LFCliBase(_lfjson_host=self.lanforge_ip, _lfjson_port=self.lanforge_port, )
return cli_base.json_post(req_url, data)
def read_kpi_file(self, column_name, dir_name ):
def read_kpi_file(self, column_name, dir_name):
if column_name == None:
df = pd.read_csv("../reports/" + str(dir_name) + "/kpi.csv", sep=r'\t', engine='python')
if df.empty == True:
@@ -114,14 +141,9 @@ class ChamberView:
else:
return df
else:
df = pd.read_csv("../reports/" + str(dir_name) + "/kpi.csv", sep=r'\t', usecols=column_name, engine='python')
df = pd.read_csv("../reports/" + str(dir_name) + "/kpi.csv", sep=r'\t', usecols=column_name,
engine='python')
if df.empty == True:
return "empty"
else:
return df