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https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
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lf_webpage.py: line length fixes for pep8 compliance
This commit is contained in:
Logan Lipke
@@ -1,13 +1,11 @@
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#!/usr/bin/env python3
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"""
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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
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webpage loading time meets the expectation when clients connected on single radio as well as dual radio.
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"""This script will create 40 clients on 5Ghz , 2.4Ghz and Both and generate layer4 traffic on LANforge ,The Webpage
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Download Test is designed to test the performance of the Access Point.The goal is to check whether the webpage
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loading time meets the expectation when clients connected on single radio as well as dual radio.
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how to run -
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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
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Copyright 2021 Candela Technologies Inc
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04 - April - 2021
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"""
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how to run - python3 lf_webpage.py --mgr 192.168.200.29 --mgr_port 8080 --upstream_port eth1 --num_stations 10
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--security open --ssid testap210 --passwd [BLANK] --target_per_ten 1 --bands 5G --file_size 10MB --fiveg_radio
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wiphy0 --twog_radio wiphy1 --duration 1 Copyright 2021 Candela Technologies Inc 04 - April - 2021 """
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import sys
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import os
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import importlib
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@@ -53,7 +51,7 @@ class HttpDownload(Realm):
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self.station_profile = self.local_realm.new_station_profile()
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self.http_profile = self.local_realm.new_http_profile()
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self.http_profile.requests_per_ten = self.target_per_ten
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#self.http_profile.url = self.url
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# self.http_profile.url = self.url
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self.port_util = PortUtils(self.local_realm)
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self.http_profile.debug = _debug_on
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self.created_cx = {}
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@@ -490,47 +488,33 @@ class HttpDownload(Realm):
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#
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# report.test_setup_table(value="Device under test", test_setup_data=test_setup_info)
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#
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# report.set_obj_html("Objective",
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# "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(
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# num_stations) + " clients which are downloading at the same time meets the expectation when clients connected on single radio as well as dual radio")
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# report.build_objective()
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# report.set_obj_html("Download Time Graph",
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# "The below graph provides information about the download time taken by each client to download webpage for test duration of " + str(
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# duration) + " min")
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# report.build_objective()
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# graph = self.generate_graph(dataset=dataset, lis=lis, bands=bands)
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# report.set_graph_image(graph)
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# report.set_csv_filename(graph)
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# report.move_csv_file()
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# report.move_graph_image()
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# report.build_graph()
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# report.set_obj_html("Download Rate Graph",
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# "The below graph provides information about the download rate in Mbps of each client to download the webpage for test duration of " + str(
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# duration) + " min")
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# report.build_objective()
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# graph2 = self.graph_2(dataset2, lis=lis, bands=bands)
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# print("graph name {}".format(graph2))
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# report.set_graph_image(graph2)
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# report.set_csv_filename(graph2)
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# report.move_csv_file()
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# report.move_graph_image()
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# report.build_graph()
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# report.set_obj_html("Summary Table Description",
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# "This Table shows you the summary result of Webpage Download Test as PASS or FAIL criteria. If the average time taken by " + str(
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# num_stations) + " clients to access the webpage is less than " + str(
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# threshold_2g) + "s it's a PASS criteria for 2.4 ghz clients, If the average time taken by " + "" + str(
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# num_stations) + " clients to access the webpage is less than " + str(
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# threshold_5g) + "s it's a PASS criteria for 5 ghz clients and If the average time taken by " + str(
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# num_stations) + " clients to access the webpage is less than " + str(
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# threshold_both) + "s it's a PASS criteria for 2.4 ghz and 5ghz clients")
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# report.set_obj_html("Objective", "The Webpage Download Test is designed to test the performance of the
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# Access Point.The goal is to check whether the webpage loading time of all the " + str( num_stations) + "
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# clients which are downloading at the same time meets the expectation when clients connected on single radio
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# as well as dual radio") report.build_objective() report.set_obj_html("Download Time Graph", "The below
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# graph provides information about the download time taken by each client to download webpage for test
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# duration of " + str( duration) + " min") report.build_objective() graph = self.generate_graph(
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# dataset=dataset, lis=lis, bands=bands) report.set_graph_image(graph) report.set_csv_filename(graph)
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# report.move_csv_file() report.move_graph_image() report.build_graph() report.set_obj_html("Download Rate
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# Graph", "The below graph provides information about the download rate in Mbps of each client to download
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# the webpage for test duration of " + str( duration) + " min") report.build_objective() graph2 =
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# self.graph_2(dataset2, lis=lis, bands=bands) print("graph name {}".format(graph2)) report.set_graph_image(
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# graph2) report.set_csv_filename(graph2) report.move_csv_file() report.move_graph_image()
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# report.build_graph() report.set_obj_html("Summary Table Description", "This Table shows you the summary
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# result of Webpage Download Test as PASS or FAIL criteria. If the average time taken by " + str(
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# num_stations) + " clients to access the webpage is less than " + str( threshold_2g) + "s it's a PASS
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# criteria for 2.4 ghz clients, If the average time taken by " + "" + str( num_stations) + " clients to
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# access the webpage is less than " + str( threshold_5g) + "s it's a PASS criteria for 5 ghz clients and If
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# the average time taken by " + str( num_stations) + " clients to access the webpage is less than " + str(
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# threshold_both) + "s it's a PASS criteria for 2.4 ghz and 5ghz clients")
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#
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# report.build_objective()
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# test_setup1 = pd.DataFrame(summary_table_value)
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# report.set_table_dataframe(test_setup1)
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# report.build_table()
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#
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# report.set_obj_html("Download Time Table Description",
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# "This Table will provide you information of the minimum, maximum and the average time taken by clients to download a webpage in seconds")
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# report.set_obj_html("Download Time Table Description", "This Table will provide you information of the
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# minimum, maximum and the average time taken by clients to download a webpage in seconds")
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#
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# report.build_objective()
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x = []
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@@ -682,7 +666,6 @@ def main():
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parser.add_argument("--test_id", default="lf_webpage", help="test-id for kpi.csv, script or test name")
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parser.add_argument('--csv_outfile', help="--csv_outfile <Output file for csv data>", default="")
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args = parser.parse_args()
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test_time = datetime.now()
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test_time = test_time.strftime("%b %d %H:%M:%S")
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@@ -853,6 +836,5 @@ def main():
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test_input_infor=test_input_infor, csv_outfile=args.csv_outfile)
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if __name__ == '__main__':
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main()
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