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mine_regression_test: Too noisy

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Signed-off-by: Matthew Stidham <stidmatt@gmail.com>
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Matthew Stidham
2021-12-08 17:16:20 -08:00
parent d0a6fee9b2
commit a9a558ac70
1 changed files with 0 additions and 7 deletions
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7
py-scripts/tools/mine_regression_results.py
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@@ -23,28 +23,21 @@ class MineRegression:
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