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lf_webpage.py: line length fixes for pep8 compliance

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Logan Lipke
2021-12-09 13:19:15 -08:00
parent 40a9a68981
commit 289a41325b
1 changed files with 28 additions and 46 deletions
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74
py-scripts/lf_webpage.py
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@@ -1,13 +1,11 @@
#!/usr/bin/env python3 #!/usr/bin/env python3
""" """This script will create 40 clients on 5Ghz , 2.4Ghz and Both and generate layer4 traffic on LANforge ,The Webpage
This script will create 40 clients on 5Ghz , 2.4Ghz and Both and generate layer4 traffic on LANforge ,The Webpage Download Test is designed to test the performance of the Access Point.The goal is to check whether the Download Test is designed to test the performance of the Access Point.The goal is to check whether the webpage
webpage loading time meets the expectation when clients connected on single radio as well as dual radio. loading time meets the expectation when clients connected on single radio as well as dual radio.
how to run - how to run - python3 lf_webpage.py --mgr 192.168.200.29 --mgr_port 8080 --upstream_port eth1 --num_stations 10
python3 lf_webpage.py --mgr 192.168.200.29 --mgr_port 8080 --upstream_port eth1 --num_stations 10 --security open --ssid testap210 --passwd [BLANK] --target_per_ten 1 --bands 5G --file_size 10MB --fiveg_radio wiphy0 --twog_radio wiphy1 --duration 1 --security open --ssid testap210 --passwd [BLANK] --target_per_ten 1 --bands 5G --file_size 10MB --fiveg_radio
Copyright 2021 Candela Technologies Inc wiphy0 --twog_radio wiphy1 --duration 1 Copyright 2021 Candela Technologies Inc 04 - April - 2021 """
04 - April - 2021
"""
import sys import sys
import os import os
import importlib import importlib
@@ -53,7 +51,7 @@ class HttpDownload(Realm):
self.station_profile = self.local_realm.new_station_profile() self.station_profile = self.local_realm.new_station_profile()
self.http_profile = self.local_realm.new_http_profile() self.http_profile = self.local_realm.new_http_profile()
self.http_profile.requests_per_ten = self.target_per_ten self.http_profile.requests_per_ten = self.target_per_ten
#self.http_profile.url = self.url # self.http_profile.url = self.url
self.port_util = PortUtils(self.local_realm) self.port_util = PortUtils(self.local_realm)
self.http_profile.debug = _debug_on self.http_profile.debug = _debug_on
self.created_cx = {} self.created_cx = {}
@@ -490,47 +488,33 @@ class HttpDownload(Realm):
# #
# report.test_setup_table(value="Device under test", test_setup_data=test_setup_info) # report.test_setup_table(value="Device under test", test_setup_data=test_setup_info)
# #
# report.set_obj_html("Objective", # report.set_obj_html("Objective", "The Webpage Download Test is designed to test the performance of the
# "The Webpage Download Test is designed to test the performance of the Access Point.The goal is to check whether the webpage loading time of all the " + str( # Access Point.The goal is to check whether the webpage loading time of all the " + str( num_stations) + "
# num_stations) + " clients which are downloading at the same time meets the expectation when clients connected on single radio as well as dual radio") # clients which are downloading at the same time meets the expectation when clients connected on single radio
# report.build_objective() # as well as dual radio") report.build_objective() report.set_obj_html("Download Time Graph", "The below
# report.set_obj_html("Download Time Graph", # graph provides information about the download time taken by each client to download webpage for test
# "The below graph provides information about the download time taken by each client to download webpage for test duration of " + str( # duration of " + str( duration) + " min") report.build_objective() graph = self.generate_graph(
# duration) + " min") # dataset=dataset, lis=lis, bands=bands) report.set_graph_image(graph) report.set_csv_filename(graph)
# report.build_objective() # report.move_csv_file() report.move_graph_image() report.build_graph() report.set_obj_html("Download Rate
# graph = self.generate_graph(dataset=dataset, lis=lis, bands=bands) # Graph", "The below graph provides information about the download rate in Mbps of each client to download
# report.set_graph_image(graph) # the webpage for test duration of " + str( duration) + " min") report.build_objective() graph2 =
# report.set_csv_filename(graph) # self.graph_2(dataset2, lis=lis, bands=bands) print("graph name {}".format(graph2)) report.set_graph_image(
# report.move_csv_file() # graph2) report.set_csv_filename(graph2) report.move_csv_file() report.move_graph_image()
# report.move_graph_image() # report.build_graph() report.set_obj_html("Summary Table Description", "This Table shows you the summary
# report.build_graph() # result of Webpage Download Test as PASS or FAIL criteria. If the average time taken by " + str(
# report.set_obj_html("Download Rate Graph", # num_stations) + " clients to access the webpage is less than " + str( threshold_2g) + "s it's a PASS
# "The below graph provides information about the download rate in Mbps of each client to download the webpage for test duration of " + str( # criteria for 2.4 ghz clients, If the average time taken by " + "" + str( num_stations) + " clients to
# duration) + " min") # access the webpage is less than " + str( threshold_5g) + "s it's a PASS criteria for 5 ghz clients and If
# report.build_objective() # the average time taken by " + str( num_stations) + " clients to access the webpage is less than " + str(
# graph2 = self.graph_2(dataset2, lis=lis, bands=bands) # threshold_both) + "s it's a PASS criteria for 2.4 ghz and 5ghz clients")
# print("graph name {}".format(graph2))
# report.set_graph_image(graph2)
# report.set_csv_filename(graph2)
# report.move_csv_file()
# report.move_graph_image()
# report.build_graph()
# report.set_obj_html("Summary Table Description",
# "This Table shows you the summary result of Webpage Download Test as PASS or FAIL criteria. If the average time taken by " + str(
# num_stations) + " clients to access the webpage is less than " + str(
# threshold_2g) + "s it's a PASS criteria for 2.4 ghz clients, If the average time taken by " + "" + str(
# num_stations) + " clients to access the webpage is less than " + str(
# threshold_5g) + "s it's a PASS criteria for 5 ghz clients and If the average time taken by " + str(
# num_stations) + " clients to access the webpage is less than " + str(
# threshold_both) + "s it's a PASS criteria for 2.4 ghz and 5ghz clients")
# #
# report.build_objective() # report.build_objective()
# test_setup1 = pd.DataFrame(summary_table_value) # test_setup1 = pd.DataFrame(summary_table_value)
# report.set_table_dataframe(test_setup1) # report.set_table_dataframe(test_setup1)
# report.build_table() # report.build_table()
# #
# report.set_obj_html("Download Time Table Description", # report.set_obj_html("Download Time Table Description", "This Table will provide you information of the
# "This Table will provide you information of the minimum, maximum and the average time taken by clients to download a webpage in seconds") # minimum, maximum and the average time taken by clients to download a webpage in seconds")
# #
# report.build_objective() # report.build_objective()
x = [] x = []
@@ -682,7 +666,6 @@ def main():
parser.add_argument("--test_id", default="lf_webpage", help="test-id for kpi.csv, script or test name") parser.add_argument("--test_id", default="lf_webpage", help="test-id for kpi.csv, script or test name")
parser.add_argument('--csv_outfile', help="--csv_outfile <Output file for csv data>", default="") parser.add_argument('--csv_outfile', help="--csv_outfile <Output file for csv data>", default="")
args = parser.parse_args() args = parser.parse_args()
test_time = datetime.now() test_time = datetime.now()
test_time = test_time.strftime("%b %d %H:%M:%S") test_time = test_time.strftime("%b %d %H:%M:%S")
@@ -853,6 +836,5 @@ def main():
test_input_infor=test_input_infor, csv_outfile=args.csv_outfile) test_input_infor=test_input_infor, csv_outfile=args.csv_outfile)
if __name__ == '__main__': if __name__ == '__main__':
main() main()