mirror of
https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
synced 2025-11-01 11:18:03 +00:00
packet loss data retrieval added
pick 6dd9cef lf_csv - creates csv for graph data
pick 6ea0cec lf_csv - creates csv for graph data
You are currently rebasing branch 'master' on '55fd625'.
This commit is contained in:
anil-tegala
@@ -247,67 +247,85 @@ class ThroughputQOS(Realm):
|
||||
print("cross connections with TOS type created.")
|
||||
|
||||
def evaluate_throughput(self):
|
||||
tos_upload = {'video': [], 'voice': [], 'bk': [], 'be': []}
|
||||
global case
|
||||
tos_download = {'video': [], 'voice': [], 'bk': [], 'be': []}
|
||||
if self.cx_profile.side_a_min_bps != 0:
|
||||
case = str(int(self.cx_profile.side_a_min_bps) // 1000000)
|
||||
else:
|
||||
tx_b = {'bk': [], 'be': [], 'video': [], 'voice': []}
|
||||
rx_a = {'bk': [], 'be': [], 'video': [], 'voice': []}
|
||||
pkt_loss = {}
|
||||
tx_endps = {}
|
||||
rx_endps = {}
|
||||
if int(self.cx_profile.side_b_min_bps) != 0:
|
||||
case = str(int(self.cx_profile.side_b_min_bps) // 1000000)
|
||||
if self.cx_profile.get_cx_count() > 0:
|
||||
elif int(self.cx_profile.side_a_min_bps) != 0:
|
||||
case = str(int(self.cx_profile.side_a_min_bps) // 1000000)
|
||||
if len(self.cx_profile.created_cx.keys()) > 0:
|
||||
endp_data = self.json_get('endp/all?fields=name,tx+pkts+ll,rx+pkts+ll')
|
||||
endp_data.pop("handler")
|
||||
endp_data.pop("uri")
|
||||
print(endp_data)
|
||||
endps = endp_data['endpoint']
|
||||
for i in range(len(endps)):
|
||||
if i < len(endps) // 2:
|
||||
tx_endps.update(endps[i])
|
||||
if i >= len(endps) // 2:
|
||||
rx_endps.update(endps[i])
|
||||
for sta in self.cx_profile.created_cx.keys():
|
||||
temp = int(sta[12:])
|
||||
if temp % 4 == 0:
|
||||
data = list(self.json_get('/cx/%s?fields=bps+rx+a,bps+rx+b' % sta).values())[2]
|
||||
if int(self.cx_profile.side_a_min_bps) != 0:
|
||||
tos_upload['bk'].append(data['bps rx a'] / 1000000)
|
||||
else:
|
||||
tos_upload['bk'].append(data['bps rx a'])
|
||||
if int(self.cx_profile.side_b_min_bps) != 0:
|
||||
tos_download['bk'].append(data['bps rx b'] / 1000000)
|
||||
tos_download['bk'].append(float(
|
||||
f"{list((self.json_get('/cx/%s?fields=bps+rx+a' % sta)).values())[2]['bps rx a'] / 1000000:.2f}"))
|
||||
tx_b['bk'].append(int(f"{tx_endps['%s-B' %sta]['tx pkts ll']}"))
|
||||
rx_a['bk'].append(int(f"{rx_endps['%s-A' %sta]['rx pkts ll']}"))
|
||||
else:
|
||||
tos_upload['bk'].append(data['bps rx b'])
|
||||
tos_download['bk'].append(float(0))
|
||||
tx_b['bk'].append(int(0))
|
||||
rx_a['bk'].append(int(0))
|
||||
elif temp % 4 == 1:
|
||||
data = list(self.json_get('/cx/%s?fields=bps+rx+a,bps+rx+b' % sta).values())[2]
|
||||
if int(self.cx_profile.side_a_min_bps) != 0:
|
||||
tos_upload['be'].append(data['bps rx a'] / 1000000)
|
||||
else:
|
||||
tos_upload['be'].append(data['bps rx a'])
|
||||
if int(self.cx_profile.side_b_min_bps) != 0:
|
||||
tos_download['be'].append(data['bps rx b'] / 1000000)
|
||||
tos_download['be'].append(float(
|
||||
f"{list((self.json_get('/cx/%s?fields=bps+rx+a' % sta)).values())[2]['bps rx a'] / 1000000:.2f}"))
|
||||
tx_b['be'].append(int(f"{tx_endps['%s-B' % sta]['tx pkts ll']}"))
|
||||
rx_a['be'].append(int(f"{rx_endps['%s-A' % sta]['rx pkts ll']}"))
|
||||
else:
|
||||
tos_upload['be'].append(data['bps rx b'])
|
||||
tos_download['be'].append(float(0))
|
||||
tx_b['be'].append(int(0))
|
||||
rx_a['be'].append(int(0))
|
||||
elif temp % 4 == 2:
|
||||
data = list(self.json_get('/cx/%s?fields=bps+rx+a,bps+rx+b' % sta).values())[2]
|
||||
if int(self.cx_profile.side_a_min_bps) != 0:
|
||||
tos_upload['voice'].append(data['bps rx a'] / 1000000)
|
||||
else:
|
||||
tos_upload['voice'].append(data['bps rx a'])
|
||||
if int(self.cx_profile.side_b_min_bps) != 0:
|
||||
tos_download['voice'].append(data['bps rx b'] / 1000000)
|
||||
tos_download['voice'].append(float(
|
||||
f"{list((self.json_get('/cx/%s?fields=bps+rx+a' % sta)).values())[2]['bps rx a'] / 1000000:.2f}"))
|
||||
tx_b['voice'].append(int(f"{tx_endps['%s-B' % sta]['tx pkts ll']}"))
|
||||
rx_a['voice'].append(int(f"{rx_endps['%s-A' % sta]['rx pkts ll']}"))
|
||||
else:
|
||||
tos_upload['voice'].append(data['bps rx b'])
|
||||
tos_download['voice'].append(float(0))
|
||||
tx_b['voice'].append(int(0))
|
||||
rx_a['voice'].append(int(0))
|
||||
elif temp % 4 == 3:
|
||||
data = list(self.json_get('/cx/%s?fields=bps+rx+a,bps+rx+b' % sta).values())[2]
|
||||
if int(self.cx_profile.side_a_min_bps) != 0:
|
||||
tos_upload['video'].append(data['bps rx a'] / 1000000)
|
||||
else:
|
||||
tos_upload['video'].append(data['bps rx a'])
|
||||
if int(self.cx_profile.side_b_min_bps) != 0:
|
||||
tos_download['video'].append(data['bps rx b'] / 1000000)
|
||||
tos_download['video'].append(float(
|
||||
f"{list((self.json_get('/cx/%s?fields=bps+rx+a' % sta)).values())[2]['bps rx a'] / 1000000:.2f}"))
|
||||
tx_b['video'].append(int(f"{tx_endps['%s-B' % sta]['tx pkts ll']}"))
|
||||
rx_a['video'].append(int(f"{rx_endps['%s-A' % sta]['rx pkts ll']}"))
|
||||
else:
|
||||
tos_upload['video'].append(data['bps rx b'])
|
||||
tos_upload.update({"videoQOS": sum(tos_upload['video']) / 100000})
|
||||
tos_upload.update({"voiceQOS": sum(tos_upload['voice']) / 100000})
|
||||
tos_upload.update({"bkQOS": sum(tos_upload['bk']) / 1000000})
|
||||
tos_upload.update({"beQOS": sum(tos_upload['be']) / 1000000})
|
||||
tos_download.update({"videoQOS": sum(tos_download['video']) / 1000000})
|
||||
tos_download.update({"voiceQOS": sum(tos_download['voice']) / 1000000})
|
||||
tos_download.update({"bkQOS": sum(tos_download['bk']) / 1000000})
|
||||
tos_download.update({"beQOS": sum(tos_download['be']) / 1000000})
|
||||
tos_download['video'].append(float(0))
|
||||
tx_b['video'].append(int(0))
|
||||
rx_a['video'].append(int(0))
|
||||
tos_download.update({"bkQOS": float(f"{sum(tos_download['bk']):.2f}")})
|
||||
tos_download.update({"beQOS": float(f"{sum(tos_download['be']):.2f}")})
|
||||
tos_download.update({"videoQOS": float(f"{sum(tos_download['video']):.2f}")})
|
||||
tos_download.update({"voiceQOS": float(f"{sum(tos_download['voice']):.2f}")})
|
||||
if sum(tx_b['bk']) != 0 or sum(tx_b['be']) != 0 or sum(tx_b['video']) != 0 or sum(tx_b['voice']) != 0:
|
||||
pkt_loss.update({"bkLOSS": float(f"{((sum(tx_b['bk']) - sum(rx_a['bk']))/sum(tx_b['bk']))*100:.2f}")})
|
||||
pkt_loss.update({"beLOSS": float(f"{((sum(tx_b['be']) - sum(rx_a['be']))/sum(tx_b['be']))*100:.2f}")})
|
||||
pkt_loss.update({"videoLOSS": float(f"{((sum(tx_b['video']) - sum(rx_a['video']))/sum(tx_b['video']))*100:.2f}")})
|
||||
pkt_loss.update({"voiceLOSS": float(f"{((sum(tx_b['voice']) - sum(rx_a['voice']))/sum(tx_b['voice']))*100:.2f}")})
|
||||
else:
|
||||
print("no connections available to evaluate QOS")
|
||||
print("no RX values available to evaluate QOS")
|
||||
key = case + " " + "Mbps"
|
||||
return {key: {"tos_upload": tos_upload, "tos_download": tos_download}}
|
||||
print(tos_download)
|
||||
print(pkt_loss)
|
||||
return {key: tos_download}, pkt_loss
|
||||
|
||||
def generate_report(self, data):
|
||||
print(data)
|
||||
@@ -330,7 +348,9 @@ class ThroughputQOS(Realm):
|
||||
_obj="Through this test we can evaluate the throughput for given number of clients which"
|
||||
" runs the traffic with a particular Type of Service i.e BK,BE,VI,VO")
|
||||
report.build_objective()
|
||||
report.set_table_title("Overall Throughput for all TOS i.e BK | BE | Video (VI) | Voice (VO)")
|
||||
|
||||
report.set_table_title(
|
||||
"Overall download Throughput for all TOS i.e BK | BE | Video (VI) | Voice (VO) in 2.4Ghz")
|
||||
report.build_table_title()
|
||||
|
||||
t_1mb = []
|
||||
@@ -343,33 +363,34 @@ class ThroughputQOS(Realm):
|
||||
|
||||
for key in res:
|
||||
if key == '1 Mbps':
|
||||
table_df[0].append(res[key]['tos_upload']['bkQOS'])
|
||||
table_df[0].append(res[key]['tos_upload']['beQOS'])
|
||||
table_df[0].append(res[key]['tos_upload']['videoQOS'])
|
||||
table_df[0].append(res[key]['tos_upload']['voiceQOS'])
|
||||
table_df[0].append(res[key]['bkQOS'])
|
||||
table_df[0].append(res[key]['beQOS'])
|
||||
table_df[0].append(res[key]['videoQOS'])
|
||||
table_df[0].append(res[key]['voiceQOS'])
|
||||
if key == '2 Mbps':
|
||||
table_df[1].append(res[key]['tos_upload']['bkQOS'])
|
||||
table_df[1].append(res[key]['tos_upload']['beQOS'])
|
||||
table_df[1].append(res[key]['tos_upload']['videoQOS'])
|
||||
table_df[1].append(res[key]['tos_upload']['voiceQOS'])
|
||||
table_df[1].append(res[key]['bkQOS'])
|
||||
table_df[1].append(res[key]['beQOS'])
|
||||
table_df[1].append(res[key]['videoQOS'])
|
||||
table_df[1].append(res[key]['voiceQOS'])
|
||||
if key == '3 Mbps':
|
||||
table_df[2].append(res[key]['tos_upload']['bkQOS'])
|
||||
table_df[2].append(res[key]['tos_upload']['beQOS'])
|
||||
table_df[2].append(res[key]['tos_upload']['videoQOS'])
|
||||
table_df[2].append(res[key]['tos_upload']['voiceQOS'])
|
||||
table_df[2].append(res[key]['bkQOS'])
|
||||
table_df[2].append(res[key]['beQOS'])
|
||||
table_df[2].append(res[key]['videoQOS'])
|
||||
table_df[2].append(res[key]['voiceQOS'])
|
||||
if key == '4 Mbps':
|
||||
table_df[3].append(res[key]['tos_upload']['bkQOS'])
|
||||
table_df[3].append(res[key]['tos_upload']['beQOS'])
|
||||
table_df[3].append(res[key]['tos_upload']['videoQOS'])
|
||||
table_df[3].append(res[key]['tos_upload']['voiceQOS'])
|
||||
table_df[3].append(res[key]['bkQOS'])
|
||||
table_df[3].append(res[key]['beQOS'])
|
||||
table_df[3].append(res[key]['videoQOS'])
|
||||
table_df[3].append(res[key]['voiceQOS'])
|
||||
if key == '5 Mbps':
|
||||
table_df[4].append(res[key]['tos_upload']['bkQOS'])
|
||||
table_df[4].append(res[key]['tos_upload']['beQOS'])
|
||||
table_df[4].append(res[key]['tos_upload']['videoQOS'])
|
||||
table_df[4].append(res[key]['tos_upload']['voiceQOS'])
|
||||
table_df[4].append(res[key]['bkQOS'])
|
||||
table_df[4].append(res[key]['beQOS'])
|
||||
table_df[4].append(res[key]['videoQOS'])
|
||||
table_df[4].append(res[key]['voiceQOS'])
|
||||
table_df2 = []
|
||||
for i in range(len(table_df)):
|
||||
table_df2.append(f'BK: {table_df[i][0]} | BE: {table_df[i][1]} | VI: {table_df[i][2]} | VO: {table_df[i][3]}')
|
||||
table_df2.append(
|
||||
f'BK: {table_df[i][0]} | BE: {table_df[i][1]} | VI: {table_df[i][2]} | VO: {table_df[i][3]}')
|
||||
|
||||
df_throughput = pd.DataFrame({
|
||||
'Mode': ['bgn-AC'], "No.of.clients": [len(self.sta_list)],
|
||||
@@ -382,8 +403,12 @@ class ThroughputQOS(Realm):
|
||||
report.set_table_dataframe(df_throughput)
|
||||
report.build_table()
|
||||
|
||||
report.set_graph_title("Overall upload Throughput for 2.4G clients for various TOS.")
|
||||
report.set_graph_title("Overall download Throughput for all 2.4G clients with different TOS.")
|
||||
report.set_obj_html(_obj_title="", _obj="This graph represents the download throughput for Bk, BE, Video, Voice"
|
||||
" services when stations are running the traffic with load 1 Mbps, "
|
||||
"2 Mbps, 3 Mbps, 4 Mbps")
|
||||
report.build_graph_title()
|
||||
report.build_objective()
|
||||
|
||||
y_bk = []
|
||||
y_be = []
|
||||
@@ -393,41 +418,44 @@ class ThroughputQOS(Realm):
|
||||
graph_df = [y_bk, y_be, y_vi, y_vo]
|
||||
for key in res:
|
||||
if key == '1 Mbps':
|
||||
graph_df[0].append(res[key]['tos_upload']['bkQOS'])
|
||||
graph_df[1].append(res[key]['tos_upload']['beQOS'])
|
||||
graph_df[2].append(res[key]['tos_upload']['videoQOS'])
|
||||
graph_df[3].append(res[key]['tos_upload']['voiceQOS'])
|
||||
graph_df[0].append(res[key]['bkQOS'])
|
||||
graph_df[1].append(res[key]['beQOS'])
|
||||
graph_df[2].append(res[key]['videoQOS'])
|
||||
graph_df[3].append(res[key]['voiceQOS'])
|
||||
if key == '2 Mbps':
|
||||
graph_df[0].append(res[key]['tos_upload']['bkQOS'])
|
||||
graph_df[1].append(res[key]['tos_upload']['beQOS'])
|
||||
graph_df[2].append(res[key]['tos_upload']['videoQOS'])
|
||||
graph_df[3].append(res[key]['tos_upload']['voiceQOS'])
|
||||
graph_df[0].append(res[key]['bkQOS'])
|
||||
graph_df[1].append(res[key]['beQOS'])
|
||||
graph_df[2].append(res[key]['videoQOS'])
|
||||
graph_df[3].append(res[key]['voiceQOS'])
|
||||
if key == '3 Mbps':
|
||||
graph_df[0].append(res[key]['tos_upload']['bkQOS'])
|
||||
graph_df[1].append(res[key]['tos_upload']['beQOS'])
|
||||
graph_df[2].append(res[key]['tos_upload']['videoQOS'])
|
||||
graph_df[3].append(res[key]['tos_upload']['voiceQOS'])
|
||||
graph_df[0].append(res[key]['bkQOS'])
|
||||
graph_df[1].append(res[key]['beQOS'])
|
||||
graph_df[2].append(res[key]['videoQOS'])
|
||||
graph_df[3].append(res[key]['voiceQOS'])
|
||||
if key == '4 Mbps':
|
||||
graph_df[0].append(res[key]['tos_upload']['bkQOS'])
|
||||
graph_df[1].append(res[key]['tos_upload']['beQOS'])
|
||||
graph_df[2].append(res[key]['tos_upload']['videoQOS'])
|
||||
graph_df[3].append(res[key]['tos_upload']['voiceQOS'])
|
||||
graph_df[0].append(res[key]['bkQOS'])
|
||||
graph_df[1].append(res[key]['beQOS'])
|
||||
graph_df[2].append(res[key]['videoQOS'])
|
||||
graph_df[3].append(res[key]['voiceQOS'])
|
||||
if key == '5 Mbps':
|
||||
graph_df[0].append(res[key]['tos_upload']['bkQOS'])
|
||||
graph_df[1].append(res[key]['tos_upload']['beQOS'])
|
||||
graph_df[2].append(res[key]['tos_upload']['videoQOS'])
|
||||
graph_df[3].append(res[key]['tos_upload']['voiceQOS'])
|
||||
graph_df[0].append(res[key]['bkQOS'])
|
||||
graph_df[1].append(res[key]['beQOS'])
|
||||
graph_df[2].append(res[key]['videoQOS'])
|
||||
graph_df[3].append(res[key]['voiceQOS'])
|
||||
|
||||
graph = lf_bar_graph(_data_set=graph_df,
|
||||
_xaxis_name="Load (Mbps) per Type of Service",
|
||||
_xaxis_name="Load per Type of Service",
|
||||
_yaxis_name="Throughput (Mbps)",
|
||||
_xaxis_categories=[1, 2, 3, 4, 5],
|
||||
_graph_image_name="Bi-single_radio_2.4GHz",
|
||||
_xaxis_categories=[1, 2, 3, 4, 5, 6],
|
||||
_xaxis_label=['1 Mbps', '2 Mbps', '3 Mbps', '4 Mbps', '5 Mbps'],
|
||||
_graph_image_name="tos_download_2.4GHz",
|
||||
_label=["BE", "BK", "VI", "VO"],
|
||||
_color=['blue', 'yellow', 'green', 'purple'],
|
||||
_step_size=1,
|
||||
_color=['orangered', 'greenyellow', 'steelblue', 'blueviolet'],
|
||||
_color_edge='black',
|
||||
_bar_width=0.15)
|
||||
|
||||
_bar_width=0.15,
|
||||
_dpi=96,
|
||||
_color_name=['orangered', 'greenyellow', 'steelblue', 'blueviolet'])
|
||||
graph_png = graph.build_bar_graph()
|
||||
|
||||
print("graph name {}".format(graph_png))
|
||||
@@ -435,11 +463,107 @@ class ThroughputQOS(Realm):
|
||||
report.set_graph_image(graph_png)
|
||||
# need to move the graph image to the results
|
||||
report.move_graph_image()
|
||||
|
||||
report.build_graph()
|
||||
self.generate_individual_graph(data, report)
|
||||
report.write_html()
|
||||
report.write_pdf()
|
||||
|
||||
def generate_individual_graph(self, data, report):
|
||||
if data is not None:
|
||||
res = {}
|
||||
for i in range(len(data)):
|
||||
res.update(data[i])
|
||||
if len(res.keys()) > 0:
|
||||
count = 1
|
||||
for key in res:
|
||||
report.set_graph_title(_graph_title="Individual stations Download Throughput for the service Bk(WIFI) of load {}.".format(key))
|
||||
report.set_obj_html(_obj_title="",
|
||||
_obj="This is the individual throughput for {} number of clients running service BK".format(
|
||||
len(self.sta_list)))
|
||||
report.build_graph_title()
|
||||
report.build_objective()
|
||||
graph = lf_bar_graph(_data_set=[res[key]['bk']], _xaxis_name="Clients running - BK",
|
||||
_yaxis_name="Throughput in Mbps",
|
||||
_xaxis_categories=[i for i in range(len(self.sta_list))],
|
||||
_xaxis_label=[i for i in range(len(self.sta_list))],
|
||||
_label=["BK"],
|
||||
_step_size=1,
|
||||
_bar_width=0.15, _color_name=['orangered'],
|
||||
_graph_image_name="{}_bk_{}".format(self.bands[0], count), _color_edge=['black'],
|
||||
_color=['orangered'])
|
||||
graph_png = graph.build_bar_graph()
|
||||
print("graph name {}".format(graph_png))
|
||||
report.set_graph_image(graph_png)
|
||||
# need to move the graph image to the results
|
||||
report.move_graph_image()
|
||||
report.build_graph()
|
||||
report.set_graph_title(_graph_title="Individual stations Download Throughput for the service BE(WIFI) of load {}.".format(key))
|
||||
report.set_obj_html(_obj_title="",
|
||||
_obj="This is the individual throughput for {} number of clients running service BE".format(
|
||||
len(self.sta_list)))
|
||||
report.build_graph_title()
|
||||
report.build_objective()
|
||||
graph = lf_bar_graph(_data_set=[res[key]['be']], _xaxis_name="Clients running - BE",
|
||||
_yaxis_name="Throughput in Mbps",
|
||||
_xaxis_categories=[i for i in range(len(self.sta_list))],
|
||||
_xaxis_label=[i for i in range(len(self.sta_list))],
|
||||
_label=["BE"],
|
||||
_step_size=1,
|
||||
_bar_width=0.15, _color_name=['greenyellow'],
|
||||
_graph_image_name="{}_be_{}".format(self.bands[0], count), _color_edge=['black'],
|
||||
_color=['greenyellow'])
|
||||
graph_png = graph.build_bar_graph()
|
||||
print("graph name {}".format(graph_png))
|
||||
report.set_graph_image(graph_png)
|
||||
# need to move the graph image to the results
|
||||
report.move_graph_image()
|
||||
report.build_graph()
|
||||
report.set_graph_title(_graph_title="Individual stations Download Throughput for the service VI(WIFI) of load {}.".format(key))
|
||||
report.set_obj_html(_obj_title="",
|
||||
_obj="This is the individual throughput for {} number of clients running service VI".format(
|
||||
len(self.sta_list)))
|
||||
report.build_graph_title()
|
||||
report.build_objective()
|
||||
graph = lf_bar_graph(_data_set=[res[key]['video']], _xaxis_name="Clients running - VI",
|
||||
_yaxis_name="Throughput in Mbps",
|
||||
_xaxis_categories=[i for i in range(len(self.sta_list))],
|
||||
_xaxis_label=[i for i in range(len(self.sta_list))],
|
||||
_label=["Video"],
|
||||
_step_size=1,
|
||||
_bar_width=0.15, _color_name=['steelblue'],
|
||||
_graph_image_name="{}_video_{}".format(self.bands[0], count), _color_edge=['black'],
|
||||
_color=['steelblue'])
|
||||
graph_png = graph.build_bar_graph()
|
||||
print("graph name {}".format(graph_png))
|
||||
report.set_graph_image(graph_png)
|
||||
# need to move the graph image to the results
|
||||
report.move_graph_image()
|
||||
report.build_graph()
|
||||
report.set_graph_title(_graph_title="Individual stations Download Throughput for the service VO(WIFI) of load {}.".format(key))
|
||||
report.set_obj_html(_obj_title="",
|
||||
_obj="This is the individual throughput for {} number of clients running service VO".format(
|
||||
len(self.sta_list)))
|
||||
report.build_graph_title()
|
||||
report.build_objective()
|
||||
graph = lf_bar_graph(_data_set=[res[key]['voice']], _xaxis_name="Clients running - VO",
|
||||
_yaxis_name="Throughput in Mbps",
|
||||
_xaxis_categories=[i for i in range(len(self.sta_list))],
|
||||
_xaxis_label=[i for i in range(len(self.sta_list))],
|
||||
_label=['Voice'],
|
||||
_step_size=1,
|
||||
_bar_width=0.15, _color_name=['blueviolet'],
|
||||
_graph_image_name="{}_voice_{}".format(self.bands[0], count), _color_edge=['black'],
|
||||
_color=['blueviolet'])
|
||||
graph_png = graph.build_bar_graph()
|
||||
print("graph name {}".format(graph_png))
|
||||
report.set_graph_image(graph_png)
|
||||
# need to move the graph image to the results
|
||||
report.move_graph_image()
|
||||
report.build_graph()
|
||||
count += 1
|
||||
else:
|
||||
print("No individual graph to generate.")
|
||||
|
||||
|
||||
def main():
|
||||
parser = Realm.create_basic_argparse(
|
||||
@@ -594,7 +718,7 @@ python3 ./throughput_QOS.py
|
||||
print(args.test_case)
|
||||
print("-----------------")
|
||||
# ---------------------------------------#
|
||||
for index in range(len(loads["a_min"])):
|
||||
for index in range(len(loads["b_min"])):
|
||||
throughput_qos = ThroughputQOS(host=args.mgr,
|
||||
port=args.mgr_port,
|
||||
number_template="0000",
|
||||
@@ -649,7 +773,7 @@ python3 ./throughput_QOS.py
|
||||
throughput_qos.cleanup()
|
||||
|
||||
data = test_results
|
||||
throughput_qos.generate_report(data=data)
|
||||
#throughput_qos.generate_report(data=data)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
Reference in New Issue
Block a user