mirror of
https://github.com/Telecominfraproject/wlan-lanforge-scripts.git
synced 2025-11-03 20:27:54 +00:00
66 lines
2.6 KiB
Python
Executable File
66 lines
2.6 KiB
Python
Executable File
#!/usr/bin/env python3
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import pandas as pd
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import argparse
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class MineRegression:
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def __init__(self,
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system_information=None,
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save_csv=False):
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self.df = None
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self.system_info = system_information
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self.save_csv = save_csv
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def generate_csv(self):
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if self.system_info:
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systems = pd.read_csv(self.system_info)
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ips = systems['Machine']
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else:
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system_info = {'192.168.92.18': ['3.7.7', '5.4.4', 'F30', '.local'],
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'192.168.92.12': ['3.9.7', '5.4.4', 'F34', '.local'],
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'192.168.93.51': ['3.7.7', '5.4.4', 'F30', 'venv'],
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'192.168.92.15': ['3.6.6', '5.4.4', 'F27', '.local']}
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ips = list(system_info.keys())
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systems = pd.DataFrame(system_info).transpose().reset_index()
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systems.columns = ['Machine', 'Python version', 'LF version', 'Fedora version', 'environment']
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results = [pd.read_html('http://%s/html-reports/latest.html' % url)[0] for url in ips]
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for result in list(range(0, len(ips))):
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results[result]['Machine'] = ips[result]
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self.df = pd.concat(results)
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self.df = pd.merge(self.df, systems, on='Machine')
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self.df = self.df[self.df['STDOUT'] == 'STDOUT']
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def generate_report(self):
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system_variations = self.df[['Python version', 'LF version', 'Fedora version', 'environment']].drop_duplicates().reset_index(
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drop=True)
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errors = list()
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for index in system_variations.index:
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variation = system_variations.iloc[index]
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result = self.df.loc[self.df[['Python version', 'LF version', 'Fedora version', 'environment']].isin(dict(
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variation).values()).all(axis=1), :].dropna(subset=['STDERR']).shape[0]
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errors.append(result)
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system_variations['errors'] = errors
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if self.save_csv:
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system_variations.to_csv('regression_suite_results.csv')
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else:
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print(system_variations.sort_values('errors'))
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def main():
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parser = argparse.ArgumentParser(description='Compare regression results from different systems')
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parser.add_argument('--system_info', help='location of system information csv', default=None)
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parser.add_argument('--save_csv', help='save CSV of results', default=False)
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args = parser.parse_args()
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Miner = MineRegression(system_information=args.system_info,
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save_csv=args.save_csv)
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Miner.generate_csv()
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Miner.generate_report()
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if __name__ == '__main__':
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main()
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