simplebench/results_to_text: add difference line to the table

Performance improvements / degradations are usually discussed in
percentage. Let's make the script calculate it for us.

Signed-off-by: Vladimir Sementsov-Ogievskiy <vsementsov@virtuozzo.com>
Message-Id: <20201021145859.11201-20-vsementsov@virtuozzo.com>
Reviewed-by: Max Reitz <mreitz@redhat.com>
[mreitz: 'seconds' instead of 'secs']
Signed-off-by: Max Reitz <mreitz@redhat.com>
This commit is contained in:
Vladimir Sementsov-Ogievskiy 2020-10-21 17:58:57 +03:00 committed by Max Reitz
parent 96be1aeec7
commit aa362403f4
1 changed files with 60 additions and 7 deletions

View File

@ -17,6 +17,10 @@
#
import math
import tabulate
# We want leading whitespace for difference row cells (see below)
tabulate.PRESERVE_WHITESPACE = True
def format_value(x, stdev):
@ -39,21 +43,70 @@ def result_to_text(result):
return 'FAILED'
def results_to_text(results):
"""Return text representation of bench() returned dict."""
from tabulate import tabulate
def results_dimension(results):
dim = None
tab = [[""] + [c['id'] for c in results['envs']]]
for case in results['cases']:
row = [case['id']]
for env in results['envs']:
res = results['tab'][case['id']][env['id']]
if dim is None:
dim = res['dimension']
else:
assert dim == res['dimension']
assert dim in ('iops', 'seconds')
return dim
def results_to_text(results):
"""Return text representation of bench() returned dict."""
n_columns = len(results['envs'])
named_columns = n_columns > 2
dim = results_dimension(results)
tab = []
if named_columns:
# Environment columns are named A, B, ...
tab.append([''] + [chr(ord('A') + i) for i in range(n_columns)])
tab.append([''] + [c['id'] for c in results['envs']])
for case in results['cases']:
row = [case['id']]
case_results = results['tab'][case['id']]
for env in results['envs']:
res = case_results[env['id']]
row.append(result_to_text(res))
tab.append(row)
return f'All results are in {dim}\n\n' + tabulate(tab)
# Add row of difference between columns. For each column starting from
# B we calculate difference with all previous columns.
row = ['', ''] # case name and first column
for i in range(1, n_columns):
cell = ''
env = results['envs'][i]
res = case_results[env['id']]
if 'average' not in res:
# Failed result
row.append(cell)
continue
for j in range(0, i):
env_j = results['envs'][j]
res_j = case_results[env_j['id']]
cell += ' '
if 'average' not in res_j:
# Failed result
cell += '--'
continue
col_j = tab[0][j + 1] if named_columns else ''
diff_pr = round((res['average'] - res_j['average']) /
res_j['average'] * 100)
cell += f' {col_j}{diff_pr:+}%'
row.append(cell)
tab.append(row)
return f'All results are in {dim}\n\n' + tabulate.tabulate(tab)