Telecominfraproject/archived-wlan-lanforge-scripts
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mine_regression_results: Save png of script results

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Signed-off-by: Matthew Stidham <stidmatt@gmail.com>
This commit is contained in:
Matthew Stidham
2021-12-20 17:47:09 -08:00
committed by shivam
parent f6a1b3afd0
commit ea9b5b0cba
1 changed files with 27 additions and 6 deletions
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33
py-scripts/tools/mine_regression_results.py
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@@ -1,20 +1,24 @@
#!/usr/bin/env python3
import pandas as pd
import argparse
import plotly.express as px
class MineRegression:
def __init__(self,
system_information=None,
save_csv=False,
save_png=False,
ips=None):
self.df = None
self.ips = ips
self.system_info = system_information
self.save_csv = save_csv
self.save_png = save_png
def generate_csv(self):
results = [pd.read_html('http://%s/html-reports/latest.html' % url, attrs={'id': 'myTable2'})[0] for url in self.ips]
results = [pd.read_html('http://%s/html-reports/latest.html' % url, attrs={'id': 'myTable2'})[0] for url in
self.ips]
systems = [pd.read_html('http://%s/html-reports/latest.html' % url, attrs={'id': 'SystemInformation'})[0] for
url in self.ips]
for df in range(0, len(self.ips)):
@@ -28,8 +32,10 @@ class MineRegression:
def generate_report(self):
system_variations = self.df[
['IP', 'Python version', 'LANforge version', 'OS Version', 'Hostname', 'Python Environment']].drop_duplicates(
['IP', 'Python version', 'LANforge version', 'OS Version', 'Hostname', 'Python Environment']).reset_index(drop=True)
['IP', 'Python version', 'LANforge version', 'OS Version', 'Hostname',
'Python Environment']].drop_duplicates(
['IP', 'Python version', 'LANforge version', 'OS Version', 'Hostname', 'Python Environment']).reset_index(
drop=True)
errors = list()
lanforge_errors = list()
partial_failures = list()
@@ -37,8 +43,10 @@ class MineRegression:
successes = list()
for index in system_variations.index:
variation = system_variations.iloc[index]
system = self.df.loc[self.df[['Python version', 'LANforge version', 'OS Version', 'Python Environment', 'IP']].isin(dict(
variation).values()).all(axis=1), :]
system = self.df.loc[
self.df[['Python version', 'LANforge version', 'OS Version', 'Python Environment', 'IP']].isin(
dict(
variation).values()).all(axis=1), :]
result = system.dropna(subset=['STDERR']).shape[0]
errors.append(result)
@@ -58,18 +66,31 @@ class MineRegression:
else:
print(system_variations.sort_values('Successes'))
if self.save_png:
fail = pd.DataFrame(dict(self.df[self.df['Status'] != 'Success']['Command Name'].value_counts()).items())
success = pd.DataFrame(dict(self.df[self.df['Status'] == 'Success']['Command Name'].value_counts()).items())
success['status'] = True
fail['status'] = False
df = pd.concat([success, fail])
fig = px.bar(df, x=0, y=1, color='status')
fig.write_image("script_statuses.png")
print('Saved png')
def main():
parser = argparse.ArgumentParser(description='Compare regression results from different systems')
parser.add_argument('--system_info', help='location of system information csv', default=None)
parser.add_argument('--save_csv', help='save CSV of results', action='store_true')
parser.add_argument('--save_png', help='save PNG of results', action='store_true')
parser.add_argument('--ip', help='IP addresses of LANforge devices you want to probe', action='append')
args = parser.parse_args()
if args.ip is None:
args.ip = ['192.168.92.18', '192.168.92.12', '192.168.93.51', '192.168.92.15', '192.168.100.184', '192.168.100.30']
args.ip = ['192.168.92.18', '192.168.92.12', '192.168.93.51', '192.168.92.15', '192.168.100.184',
'192.168.100.30']
Miner = MineRegression(system_information=args.system_info,
save_csv=args.save_csv,
save_png=args.save_png,
ips=args.ip)
Miner.generate_csv()