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Arnaud Fontaine
apachedex
Commits
993d9fcd
Commit
993d9fcd
authored
Apr 03, 2013
by
Vincent Pelletier
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Replace matplotlib with js-based graphing.
parent
9fa71de0
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2
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2 changed files
with
55 additions
and
55 deletions
+55
-55
apachedex/__init__.py
apachedex/__init__.py
+47
-55
main.js
main.js
+8
-0
No files found.
apachedex/__init__.py
View file @
993d9fcd
...
...
@@ -28,8 +28,6 @@
##############################################################################
# TODO:
# - use some templating system instead of hardcoded html strings
# - implement an alternative to matplotlib (inline SVG ? flotcharts ?) to have
# nice output with pypy
# - provide some form of raw data output, not just html
# - allow user to specify min & max dates
from
cgi
import
escape
...
...
@@ -40,20 +38,12 @@ from operator import itemgetter
from
urllib
import
splittype
,
splithost
import
argparse
import
gzip
import
json
import
os
import
re
import
sys
import
time
try
:
import
matplotlib
except
ImportError
:
matplotlib
=
None
else
:
matplotlib
.
use
(
'Agg'
)
import
matplotlib.pyplot
as
pyplot
from
matplotlib.dates
import
AutoDateLocator
,
AutoDateFormatter
MONTH_VALUE_DICT
=
dict
((
y
,
x
)
for
(
x
,
y
)
in
enumerate
((
'Jan'
,
'Feb'
,
'Mar'
,
'Apr'
,
'May'
,
'Jun'
,
'Jul'
,
'Aug'
,
'Sep'
,
'Oct'
,
'Nov'
,
'Dec'
),
1
))
...
...
@@ -384,6 +374,7 @@ period_parser = {
}
def
main
():
file_dir
=
os
.
path
.
dirname
(
__file__
)
parser
=
argparse
.
ArgumentParser
(
description
=
'Compute Apdex out of log files'
)
parser
.
add_argument
(
'logfile'
,
nargs
=
'+'
,
help
=
'Log files to process'
)
...
...
@@ -418,6 +409,10 @@ def main():
help
=
'Suppress warnings about malformed lines.'
)
parser
.
add_argument
(
'-s'
,
'--stats'
,
action
=
'store_true'
,
help
=
'Enable parsing stats (time taken to parse all files, ...)'
)
parser
.
add_argument
(
'--js'
,
default
=
file_dir
,
help
=
'Folder containing needed js files. Default: %(default)s'
)
parser
.
add_argument
(
'--js-embed'
,
action
=
'store_true'
,
help
=
'Embed js files instead of linking to them.'
)
args
=
parser
.
parse_args
()
line_regex
=
''
try
:
...
...
@@ -524,56 +519,53 @@ def main():
'.stats th.text, .stats td.text { text-align: left; } '
'table.stats { border-collapse: collapse; } '
'.problem { background-color: #f00; color: white; } '
'.warning { background-color: #f80; color: white; }'
'</style></head><body><h1>Overall</h1>'
'.warning { background-color: #f80; color: white; } '
'h1 { background-color: #ccc; }'
'h2 { background-color: #eee; }'
'</style>'
)
for
script
in
(
'jquery.js'
,
'jquery.flot.js'
,
'jquery.flot.time.js'
,
'main.js'
):
if
args
.
js_embed
:
out
.
write
(
'<script type="text/javascript">//<![CDATA['
)
out
.
write
(
getResource
(
script
))
out
.
write
(
'//]]></script>'
)
else
:
out
.
write
(
'<script type="text/javascript" src="%s/%s"></script>'
%
(
args
.
js
,
script
))
out
.
write
(
'</head><body><h1>Overall</h1>'
'<h2>Hits per day</h2><table class="stats"><tr><th>date</th><th>hits</th></tr>'
)
for
date
,
hit
in
sorted
(
hit_per_day
.
iteritems
(),
key
=
ITEMGETTER0
):
out
.
write
(
'<tr><td>%s</td><td>%s</td></tr>'
%
(
date
,
hit
))
out
.
write
(
'</table>'
)
def
graph
(
title
,
data
,
options
=
{}):
out
.
write
(
'<h2>%s</h2><div class="graph" style="width:600px;height:300px" '
'data-points="'
%
title
)
out
.
write
(
escape
(
json
.
dumps
(
data
),
quote
=
True
))
out
.
write
(
'" data-options="'
)
out
.
write
(
escape
(
json
.
dumps
(
options
),
quote
=
True
))
out
.
write
(
'"></div>'
)
for
site_id
,
data
in
per_site
.
iteritems
():
out
.
write
(
'<h1>Site: %s</h1>'
%
site_id
)
if
matplotlib
is
not
None
:
daily_data
=
data
.
getApdexData
()
date_list
=
[
datetime
.
strptime
(
x
[
0
],
'%Y/%m/%d'
+
{
'day'
:
' %H'
}.
get
(
args
.
period
,
''
))
for
x
in
daily_data
]
date_locator
=
AutoDateLocator
(
minticks
=
3
,
maxticks
=
5
)
date_formatter
=
AutoDateFormatter
(
date_locator
)
date_formatter
.
scaled
=
{
365.
:
'%Y'
,
30.
:
'%Y/%m'
,
1.
:
'%Y/%m/%d'
,
1.
/
24
:
'%Y/%m/%d
\
n
%H:%M'
,
}
apdex_plot
=
pyplot
.
subplot
(
2
,
1
,
1
)
apdex_plot
.
xaxis
.
set_major_locator
(
date_locator
)
apdex_plot
.
xaxis
.
set_major_formatter
(
date_formatter
)
pyplot
.
title
(
'Apdex'
)
pyplot
.
ylabel
(
'%'
)
pyplot
.
plot
(
date_list
,
[
x
[
1
]
for
x
in
daily_data
],
'-'
)
pyplot
.
plot
(
date_list
,
[
x
[
1
]
for
x
in
daily_data
],
'.'
)
# response_time_plot = pyplot.subplot(3, 1, 2)
# response_time_plot.xaxis.set_major_locator(date_locator)
# response_time_plot.xaxis.set_major_formatter(date_formatter)
# pyplot.title('Response time')
# pyplot.ylabel('time (s)')
# pyplot.plot(date_list, [x[2] for x in daily_data], '-', label='Average')
# pyplot.plot(date_list, [x[3] for x in daily_data], '--', label='Max')
# pyplot.legend()
hit_plot
=
pyplot
.
subplot
(
2
,
1
,
2
)
hit_plot
.
xaxis
.
set_major_locator
(
date_locator
)
hit_plot
.
xaxis
.
set_major_formatter
(
date_formatter
)
pyplot
.
title
(
'Hits'
)
pyplot
.
plot
(
date_list
,
[
x
[
4
]
for
x
in
daily_data
],
'-'
)
pyplot
.
plot
(
date_list
,
[
x
[
4
]
for
x
in
daily_data
],
'.'
)
plot_filename
=
site_id
.
strip
(
'/'
).
replace
(
'/'
,
'__'
)
+
'.png'
pyplot
.
subplots_adjust
(
hspace
=
.
4
)
pyplot
.
savefig
(
plot_filename
)
pyplot
.
clf
()
out
.
write
(
'<img src="'
+
plot_filename
+
'" />'
)
daily_data
=
data
.
getApdexData
()
date_list
=
[
int
(
time
.
mktime
(
time
.
strptime
(
x
[
0
],
'%Y/%m/%d'
+
{
'day'
:
' %H'
}.
get
(
args
.
period
,
''
)))
*
1000
)
for
x
in
daily_data
]
graph
(
'Apdex'
,
[
zip
(
date_list
,
(
x
[
1
]
for
x
in
daily_data
))],
{
'xaxis'
:
{
'mode'
:
'time'
},
'yaxis'
:
{
'max'
:
100
},
'lines'
:
{
'show'
:
True
},
'points'
:
{
'show'
:
True
},
},
)
graph
(
'Hits'
,
[
zip
(
date_list
,
(
x
[
4
]
for
x
in
daily_data
))],
{
'xaxis'
:
{
'mode'
:
'time'
},
'lines'
:
{
'show'
:
True
},
'points'
:
{
'show'
:
True
},
},
)
out
.
write
(
data
.
asHTML
(
decimator
))
end_stat_time
=
time
.
time
()
if
args
.
stats
:
...
...
main.js
0 → 100644
View file @
993d9fcd
$
(
function
()
{
$
(
"
.graph
"
).
each
(
function
(
i
){
$
.
plot
(
this
,
$
.
parseJSON
(
$
(
this
).
attr
(
'
data-points
'
)),
$
.
parseJSON
(
$
(
this
).
attr
(
'
data-options
'
)));
});
});
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