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Aurélien Vermylen
erp5
Commits
0306787c
Commit
0306787c
authored
Dec 08, 2011
by
Arnaud Fontaine
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Add argument to specify whether minimum and maximum plots should not be created.
parent
f57d9de3
Changes
1
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1 changed file
with
35 additions
and
22 deletions
+35
-22
erp5/util/benchmark/report.py
erp5/util/benchmark/report.py
+35
-22
No files found.
erp5/util/benchmark/report.py
View file @
0306787c
...
...
@@ -66,6 +66,13 @@ def parseArguments():
type
=
re
.
compile
,
help
=
'Ignore labels with the specified regex'
)
parser
.
add_argument
(
'--only-average-plots'
,
dest
=
'only_average'
,
action
=
'store_true'
,
default
=
False
,
help
=
'Do not create maximum and minimum plots, '
'only average (with standard deviation)'
)
parser
.
add_argument
(
'report_directory'
,
help
=
'Reports directory'
)
...
...
@@ -209,7 +216,7 @@ import pylab
from
matplotlib
import
pyplot
,
ticker
def
drawBarDiagram
(
pdf
,
title
,
stat_list
):
def
drawBarDiagram
(
pdf
,
title
,
stat_list
,
only_average
=
False
):
mean_list
=
[]
yerr_list
=
[]
minimum_list
=
[]
...
...
@@ -252,14 +259,14 @@ def drawBarDiagram(pdf, title, stat_list):
ind
=
numpy
.
arange
(
len
(
label_list
))
width
=
0.33
min_rects
=
axes
.
bar
(
ind
,
minimum_list
,
width
,
color
=
'y'
,
label
=
'Minimum'
)
avg_rects
=
axes
.
bar
(
ind
+
width
,
mean_list
,
width
,
color
=
'r'
,
label
=
'Mean'
)
axes
.
errorbar
(
numpy
.
arange
(
0.5
,
len
(
stat_list
)),
mean_list
,
yerr
=
[
yerr_lower
,
yerr_upper
],
fmt
=
None
,
label
=
'Standard deviation'
)
if
not
only_average
:
min_rects
=
axes
.
bar
(
ind
,
minimum_list
,
width
,
color
=
'y'
,
label
=
'Minimum'
)
max_rects
=
axes
.
bar
(
ind
+
width
*
2
,
maximum_list
,
width
,
label
=
'Maximum'
,
color
=
'g'
)
...
...
@@ -320,7 +327,8 @@ def drawPlotDecorator(xlabel, ylabel):
def
drawUseCasePerNumberOfUserPlot
(
axes
,
use_case_count_list
,
time_elapsed_list
,
is_single_plot
=
False
):
is_single_plot
=
False
,
only_average
=
False
):
def
get_cum_stat
(
stat_list
):
cum_min_list
=
[]
cum_min
=
0
...
...
@@ -350,8 +358,6 @@ def drawUseCasePerNumberOfUserPlot(axes,
if
is_single_plot
:
axes
.
plot
(
time_cum_max_list
,
use_case_cum_max_list
,
'gs-'
)
else
:
axes
.
plot
(
time_cum_min_list
,
use_case_cum_min_list
,
'yo-'
,
label
=
'Minimum'
)
xerr_list
=
[
stat
.
standard_deviation
for
stat
in
time_elapsed_list
]
xerr_left
=
numpy
.
minimum
([(
cum_mean
-
time_cum_min_list
[
i
])
for
i
,
cum_mean
in
\
...
...
@@ -372,6 +378,8 @@ def drawUseCasePerNumberOfUserPlot(axes,
fmt
=
'D-'
,
capsize
=
10.0
)
if
not
only_average
:
axes
.
plot
(
time_cum_min_list
,
use_case_cum_min_list
,
'yo-'
,
label
=
'Minimum'
)
axes
.
plot
(
time_cum_max_list
,
use_case_cum_max_list
,
'gs-'
,
label
=
'Maximum'
)
return
(
ticker
.
MaxNLocator
(
nbins
=
20
),
ticker
.
AutoMinorLocator
(),
...
...
@@ -381,7 +389,8 @@ def drawUseCasePerNumberOfUserPlot(axes,
ylabel
=
'Use cases/h'
)
def
drawConcurrentUsersUseCasePlot
(
axes
,
nb_users_list
,
use_case_stat_list
):
use_case_stat_list
,
only_average
=
False
):
use_case_per_hour_min_list
=
[]
use_case_per_hour_mean_list
=
[]
use_case_per_hour_max_list
=
[]
...
...
@@ -423,8 +432,6 @@ def drawConcurrentUsersUseCasePlot(axes,
y_error_lower_list
.
append
(
y_error_lower
)
y_error_upper_list
.
append
(
y_error_upper
)
axes
.
plot
(
nb_users_list
,
use_case_per_hour_min_list
,
'yo-'
,
label
=
'Minimum'
)
axes
.
errorbar
(
nb_users_list
,
use_case_per_hour_mean_list
,
yerr
=
[
y_error_lower_list
,
y_error_upper_list
],
...
...
@@ -435,6 +442,8 @@ def drawConcurrentUsersUseCasePlot(axes,
fmt
=
'D-'
,
capsize
=
10.0
)
if
not
only_average
:
axes
.
plot
(
nb_users_list
,
use_case_per_hour_min_list
,
'yo-'
,
label
=
'Minimum'
)
axes
.
plot
(
nb_users_list
,
use_case_per_hour_max_list
,
'gs-'
,
label
=
'Maximum'
)
axes
.
set_xticks
(
nb_users_list
)
...
...
@@ -445,7 +454,7 @@ def drawConcurrentUsersUseCasePlot(axes,
@
drawPlotDecorator
(
xlabel
=
'Concurrent users'
,
ylabel
=
'Seconds'
)
def
drawConcurrentUsersPlot
(
axes
,
nb_users_list
,
stat_list
):
def
drawConcurrentUsersPlot
(
axes
,
nb_users_list
,
stat_list
,
only_average
=
False
):
min_array
=
numpy
.
array
([
stat
.
minimum
for
stat
in
stat_list
])
mean_array
=
numpy
.
array
([
stat
.
mean
for
stat
in
stat_list
])
max_array
=
numpy
.
array
([
stat
.
maximum
for
stat
in
stat_list
])
...
...
@@ -454,8 +463,6 @@ def drawConcurrentUsersPlot(axes, nb_users_list, stat_list):
yerr_lower
=
numpy
.
minimum
(
mean_array
-
min_array
,
yerr_list
)
yerr_upper
=
numpy
.
minimum
(
max_array
-
mean_array
,
yerr_list
)
axes
.
plot
(
nb_users_list
,
min_array
,
'yo-'
,
label
=
'Minimum'
)
axes
.
errorbar
(
nb_users_list
,
mean_array
,
yerr
=
[
yerr_lower
,
yerr_upper
],
...
...
@@ -466,6 +473,8 @@ def drawConcurrentUsersPlot(axes, nb_users_list, stat_list):
fmt
=
'D-'
,
capsize
=
10.0
)
if
not
only_average
:
axes
.
plot
(
nb_users_list
,
min_array
,
'yo-'
,
label
=
'Minimum'
)
axes
.
plot
(
nb_users_list
,
max_array
,
'gs-'
,
label
=
'Maximum'
)
axes
.
set_xticks
(
nb_users_list
)
...
...
@@ -522,7 +531,8 @@ def generateReport():
drawBarDiagram
(
pdf
,
title
,
stat_list
[
slice_start_idx
:
slice_start_idx
+
DIAGRAM_PER_PAGE
])
DIAGRAM_PER_PAGE
],
only_average
=
argument_namespace
.
only_average
)
for
suite_name
,
use_case_dict
in
use_case_dict
.
viewitems
():
drawUseCasePerNumberOfUserPlot
(
...
...
@@ -530,7 +540,8 @@ def generateReport():
"Scalability for %s with %d users"
%
(
suite_name
,
nb_users
),
use_case_dict
[
'count_stats'
],
use_case_dict
[
'duration_stats'
],
is_single_plot
=
(
nb_users
==
1
))
is_single_plot
=
(
nb_users
==
1
),
only_average
=
argument_namespace
.
only_average
)
if
is_range_user
:
nb_users_list
=
per_nb_users_report_dict
.
keys
()
...
...
@@ -544,13 +555,15 @@ def generateReport():
pdf
,
title_fmt
%
label
,
nb_users_list
,
stat_list
)
stat_list
,
only_average
=
argument_namespace
.
only_average
)
drawConcurrentUsersUseCasePlot
(
pdf
,
title_fmt
%
(
"%s: Use cases"
%
suite_name
),
nb_users_list
,
report_dict
[
'use_cases'
])
report_dict
[
'use_cases'
],
only_average
=
argument_namespace
.
only_average
)
pdf
.
close
()
...
...
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