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tos graph generation

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anil-tegala
2021-06-16 16:33:28 +05:30
parent e548b45b5c
commit 05ab1704fb
1 changed files with 95 additions and 32 deletions
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119
py-scripts/throughput_qos.py
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@@ -258,20 +258,44 @@ class ThroughputQOS(Realm):
temp = int(sta[12:]) temp = int(sta[12:])
if temp % 4 == 0: if temp % 4 == 0:
data = list(self.json_get('/cx/%s?fields=bps+rx+a,bps+rx+b' % sta).values())[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['bk'].append(data['bps rx a'] / 1000000)
else:
tos_upload['bk'].append(data['bps rx a']) tos_upload['bk'].append(data['bps rx a'])
tos_download['bk'].append(data['bps rx b']) if int(self.cx_profile.side_b_min_bps) != 0:
tos_download['bk'].append(data['bps rx b'] / 1000000)
else:
tos_upload['bk'].append(data['bps rx b'])
elif temp % 4 == 1: elif temp % 4 == 1:
data = list(self.json_get('/cx/%s?fields=bps+rx+a,bps+rx+b' % sta).values())[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['be'].append(data['bps rx a'] / 1000000)
else:
tos_upload['be'].append(data['bps rx a']) tos_upload['be'].append(data['bps rx a'])
tos_download['be'].append(data['bps rx b']) if int(self.cx_profile.side_b_min_bps) != 0:
tos_download['be'].append(data['bps rx b'] / 1000000)
else:
tos_upload['be'].append(data['bps rx b'])
elif temp % 4 == 2: elif temp % 4 == 2:
data = list(self.json_get('/cx/%s?fields=bps+rx+a,bps+rx+b' % sta).values())[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']) tos_upload['voice'].append(data['bps rx a'])
tos_download['voice'].append(data['bps rx b']) if int(self.cx_profile.side_b_min_bps) != 0:
tos_download['voice'].append(data['bps rx b'] / 1000000)
else:
tos_upload['voice'].append(data['bps rx b'])
elif temp % 4 == 3: elif temp % 4 == 3:
data = list(self.json_get('/cx/%s?fields=bps+rx+a,bps+rx+b' % sta).values())[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['video'].append(data['bps rx a'] / 1000000)
else:
tos_upload['video'].append(data['bps rx a']) tos_upload['video'].append(data['bps rx a'])
tos_download['video'].append(data['bps rx b']) if int(self.cx_profile.side_b_min_bps) != 0:
tos_download['video'].append(data['bps rx b'] / 1000000)
else:
tos_upload['video'].append(data['bps rx b'])
tos_upload.update({"videoQOS": sum(tos_upload['video']) / 100000}) tos_upload.update({"videoQOS": sum(tos_upload['video']) / 100000})
tos_upload.update({"voiceQOS": sum(tos_upload['voice']) / 100000}) tos_upload.update({"voiceQOS": sum(tos_upload['voice']) / 100000})
tos_upload.update({"bkQOS": sum(tos_upload['bk']) / 1000000}) tos_upload.update({"bkQOS": sum(tos_upload['bk']) / 1000000})
@@ -314,22 +338,41 @@ class ThroughputQOS(Realm):
t_3mb = [] t_3mb = []
t_4mb = [] t_4mb = []
t_5mb = [] t_5mb = []
new = {}
table_df = [t_1mb, t_2mb, t_3mb, t_4mb, t_5mb] table_df = [t_1mb, t_2mb, t_3mb, t_4mb, t_5mb]
for key in res: for key in res:
for i in table_df: if key == '1 Mbps':
i.append(res[key]['tos_upload']['bkQOS']) table_df[0].append(res[key]['tos_upload']['bkQOS'])
i.append(res[key]['tos_upload']['beQOS']) table_df[0].append(res[key]['tos_upload']['beQOS'])
i.append(res[key]['tos_upload']['videoQOS']) table_df[0].append(res[key]['tos_upload']['videoQOS'])
i.append(res[key]['tos_upload']['voiceQOS']) table_df[0].append(res[key]['tos_upload']['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'])
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'])
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'])
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_df2 = [] table_df2 = []
for i in range(len(table_df)): 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({ df_throughput = pd.DataFrame({
'Mode()': ['bgn-AC'], "No.of.clients": [len(self.sta_list)], 'Mode': ['bgn-AC'], "No.of.clients": [len(self.sta_list)],
'Throughput for Load (1 Mbps)': [table_df2[0]], 'Throughput for Load (1 Mbps)': [table_df2[0]],
'Throughput for Load (2 Mbps)': [table_df2[1]], 'Throughput for Load (2 Mbps)': [table_df2[1]],
'Throughput for Load (3 Mbps)': [table_df2[2]], 'Throughput for Load (3 Mbps)': [table_df2[2]],
@@ -342,28 +385,48 @@ class ThroughputQOS(Realm):
report.set_graph_title("Overall upload Throughput for 2.4G clients for various TOS.") report.set_graph_title("Overall upload Throughput for 2.4G clients for various TOS.")
report.build_graph_title() report.build_graph_title()
y_1mb = [] y_bk = []
y_2mb = [] y_be = []
y_3mb = [] y_vi = []
y_4mb = [] y_vo = []
y_5mb = []
graph_df = [y_1mb, y_2mb, y_3mb, y_4mb, y_5mb] graph_df = [y_bk, y_be, y_vi, y_vo]
for key in res: for key in res:
for i in graph_df: if key == '1 Mbps':
i.append(res[key]['tos_upload']['beQOS']) graph_df[0].append(res[key]['tos_upload']['bkQOS'])
i.append(res[key]['tos_upload']['bkQOS']) graph_df[1].append(res[key]['tos_upload']['beQOS'])
i.append(res[key]['tos_upload']['videoQOS']) graph_df[2].append(res[key]['tos_upload']['videoQOS'])
i.append(res[key]['tos_upload']['voiceQOS']) graph_df[3].append(res[key]['tos_upload']['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'])
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'])
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'])
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 = lf_bar_graph(_data_set=graph_df, graph = lf_bar_graph(_data_set=graph_df,
_xaxis_name="TOS (Type of Service)", _xaxis_name="Load (Mbps) per Type of Service",
_yaxis_name="Throughput (Mbps)", _yaxis_name="Throughput (Mbps)",
_xaxis_categories=["BK", "BE", "VI", "VO"], _xaxis_categories=[1, 2, 3, 4, 5],
_graph_image_name="Bi-single_radio_2.4GHz", _graph_image_name="Bi-single_radio_2.4GHz",
_label=["1 Mbps", "2 Mbps", "3 Mbps", "4 Mbps", "5 Mbps"], _label=["BE", "BK", "VI", "VO"],
_color=['red', 'yellow', 'green', 'purple', 'thistle'], _color=['blue', 'yellow', 'green', 'purple'],
_color_edge='black') _color_edge='black',
_bar_width=0.15)
graph_png = graph.build_bar_graph() graph_png = graph.build_bar_graph()