mirror of
https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
synced 2025-10-31 10:48:02 +00:00
79 lines
3.4 KiB
Python
Executable File
79 lines
3.4 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
import pandas as pd
|
|
import argparse
|
|
|
|
|
|
class MineRegression:
|
|
def __init__(self,
|
|
system_information=None,
|
|
save_csv=False,
|
|
ips=None):
|
|
self.df = None
|
|
self.ips = ips
|
|
self.system_info = system_information
|
|
self.save_csv = save_csv
|
|
|
|
def generate_csv(self):
|
|
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)):
|
|
results[df]['IP'] = self.ips[df]
|
|
systems[df]['IP'] = self.ips[df]
|
|
dfs = [pd.merge(results[n], systems[n], on='IP') for n in range(len(self.ips))]
|
|
self.df = pd.concat(dfs)
|
|
self.df = self.df[self.df['STDOUT'] == 'STDOUT']
|
|
print(self.df.columns)
|
|
|
|
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)
|
|
print(self.df.drop_duplicates('IP'))
|
|
print(self.df['IP'].value_counts())
|
|
print(system_variations['IP'].value_counts())
|
|
errors = list()
|
|
lanforge_errors = list()
|
|
for index in system_variations.index:
|
|
print(system_variations['IP'][index])
|
|
variation = system_variations.iloc[index]
|
|
result = self.df.loc[self.df[['Python version', 'LANforge version', 'OS Version', 'Python Environment', 'IP']].isin(dict(
|
|
variation).values()).all(axis=1), :].dropna(subset=['STDERR']).shape[0]
|
|
print(result)
|
|
errors.append(result)
|
|
|
|
lanforge_result = self.df.loc[self.df[['Python version', 'LANforge version', 'OS Version', 'Python Environment', 'IP']].isin(dict(
|
|
variation).values()).all(axis=1), :].dropna(subset=['LANforge Error']).shape[0]
|
|
print(result)
|
|
lanforge_errors.append(lanforge_result)
|
|
system_variations['errors'] = errors
|
|
system_variations['LANforge errors'] = lanforge_errors
|
|
system_variations['Python errors'] = system_variations['errors'] - system_variations['LANforge errors']
|
|
if self.save_csv:
|
|
system_variations.to_csv('regression_suite_results.csv')
|
|
else:
|
|
print(system_variations.sort_values('errors'))
|
|
|
|
|
|
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', default=False)
|
|
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']
|
|
#args.ip = ['192.168.93.51']
|
|
Miner = MineRegression(system_information=args.system_info,
|
|
save_csv=args.save_csv,
|
|
ips=args.ip)
|
|
|
|
Miner.generate_csv()
|
|
|
|
Miner.generate_report()
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|