Skip to content
Projects
Groups
Snippets
Help
Loading...
Help
Support
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in / Register
Toggle navigation
slapos-caddy
Project overview
Project overview
Details
Activity
Releases
Repository
Repository
Files
Commits
Branches
Tags
Contributors
Graph
Compare
Issues
0
Issues
0
List
Boards
Labels
Milestones
Merge Requests
0
Merge Requests
0
Analytics
Analytics
Repository
Value Stream
Wiki
Wiki
Snippets
Snippets
Members
Members
Collapse sidebar
Close sidebar
Activity
Graph
Create a new issue
Commits
Issue Boards
Open sidebar
Guillaume Hervier
slapos-caddy
Commits
2e122eae
Commit
2e122eae
authored
Jan 30, 2015
by
Alain Takoudjou
Browse files
Options
Browse Files
Download
Email Patches
Plain Diff
monitor: show ressource consumption information
parent
4e0ba59a
Changes
5
Show whitespace changes
Inline
Side-by-side
Showing
5 changed files
with
390 additions
and
5 deletions
+390
-5
stack/monitor/buildout.cfg
stack/monitor/buildout.cfg
+20
-2
stack/monitor/collect.py
stack/monitor/collect.py
+163
-0
stack/monitor/monitor.cfg.in
stack/monitor/monitor.cfg.in
+14
-1
stack/monitor/webfile-directory/logfile.cgi.in
stack/monitor/webfile-directory/logfile.cgi.in
+3
-2
stack/monitor/webfile-directory/ressources.cgi.in
stack/monitor/webfile-directory/ressources.cgi.in
+190
-0
No files found.
stack/monitor/buildout.cfg
View file @
2e122eae
...
...
@@ -16,6 +16,8 @@ parts =
monitor-template
rss-bin
run-apachedex
collect-tools
log-tools
[monitor-eggs]
recipe = zc.recipe.egg
...
...
@@ -44,7 +46,7 @@ recipe = slapos.recipe.template
url = ${:_profile_base_location_}/monitor.cfg.in
output = ${buildout:directory}/monitor.cfg
filename = monitor.cfg
md5sum =
39c0b45d08399cf4a74fa586465fe8dc
md5sum =
05ed0063a8de43d3711b23605cdab4d7
mode = 0644
[monitor-bin]
...
...
@@ -94,10 +96,18 @@ mode = 0644
recipe = hexagonit.recipe.download
url = ${:_profile_base_location_}/webfile-directory/${:filename}
download-only = true
md5sum =
223d8d98dd557ebc215be71f154629e7
md5sum =
d2b85ac31cbbf49c78dc51e90ddf305f
filename = logfile.cgi.in
mode = 0644
[ressources-cgi]
recipe = hexagonit.recipe.download
url = ${:_profile_base_location_}/webfile-directory/${:filename}
download-only = true
md5sum = 739a6e470ef174b9d0b523aa349860cb
filename = ressources.cgi.in
mode = 0644
[status-cgi]
recipe = hexagonit.recipe.download
url = ${:_profile_base_location_}/webfile-directory/${:filename}
...
...
@@ -159,6 +169,14 @@ md5sum = 7b38b3ab2d6c9ab657c8faf8e3f9b190
filename = logTools.py
mode = 0644
[collect-tools]
recipe = hexagonit.recipe.download
url = ${:_profile_base_location_}/${:filename}
download-only = true
md5sum = 3577a9bb13d49897a7e15422afdb11f4
filename = collect.py
mode = 0644
[errorlog-2rss]
recipe = hexagonit.recipe.download
url = ${:_profile_base_location_}/${:filename}
...
...
stack/monitor/collect.py
0 → 100644
View file @
2e122eae
# -*- coding: utf-8 -*-
##############################################################################
#
# Copyright (c) 2010-2014 Vifib SARL and Contributors.
# All Rights Reserved.
#
# WARNING: This program as such is intended to be used by professional
# programmers who take the whole responsibility of assessing all potential
# consequences resulting from its eventual inadequacies and bugs
# End users who are looking for a ready-to-use solution with commercial
# guarantees and support are strongly adviced to contract a Free Software
# Service Company
#
# This program is Free Software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public License
# as published by the Free Software Foundation; either version 2.1
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
#
##############################################################################
import
sqlite3
import
os
from
time
import
strftime
from
datetime
import
datetime
,
timedelta
class
Database
:
database_name
=
"collector.db"
table_list
=
[
"user"
,
"computer"
,
"system"
,
"disk"
,
\
"temperature"
,
"heating"
]
def
__init__
(
self
,
directory
=
None
):
assert
self
.
database_name
is
not
None
self
.
uri
=
os
.
path
.
join
(
directory
,
self
.
database_name
)
self
.
connection
=
None
self
.
cursor
=
None
def
connect
(
self
):
self
.
connection
=
sqlite3
.
connect
(
self
.
uri
)
self
.
cursor
=
self
.
connection
.
cursor
()
def
close
(
self
):
assert
self
.
connection
is
not
None
self
.
cursor
.
close
()
self
.
connection
.
close
()
def
_execute
(
self
,
sql
):
assert
self
.
connection
is
not
None
return
self
.
cursor
.
execute
(
sql
)
def
select
(
self
,
table
,
date
=
None
,
columns
=
"*"
,
where
=
None
):
""" Query database for a full table information """
if
date
is
not
None
:
where_clause
=
" WHERE date = '%s' "
%
date
else
:
where_clause
=
""
if
where
is
not
None
:
if
where_clause
==
""
:
where_clause
+=
" WHERE 1 = 1 "
where_clause
+=
" AND %s "
%
where
select_sql
=
"SELECT %s FROM %s %s "
%
(
columns
,
table
,
where_clause
)
return
self
.
_execute
(
select_sql
)
def
getPartitionCPULoadAverage
(
self
,
partition_id
,
date_scope
):
self
.
connect
()
query_result_cursor
=
self
.
select
(
"user"
,
date_scope
,
columns
=
"SUM(cpu_percent)"
,
where
=
"partition = '%s'"
%
partition_id
)
cpu_percent_sum
=
zip
(
*
query_result_cursor
)
if
len
(
cpu_percent_sum
)
and
cpu_percent_sum
[
0
][
0
]
is
None
:
return
query_result_cursor
=
self
.
select
(
"user"
,
date_scope
,
columns
=
"COUNT(DISTINCT time)"
,
where
=
"partition = '%s'"
%
partition_id
)
sample_amount
=
zip
(
*
query_result_cursor
)
self
.
close
()
if
len
(
sample_amount
)
and
len
(
cpu_percent_sum
):
return
round
(
cpu_percent_sum
[
0
][
0
]
/
sample_amount
[
0
][
0
],
2
)
def
getPartitionUsedMemoryAverage
(
self
,
partition_id
,
date_scope
):
self
.
connect
()
query_result_cursor
=
self
.
select
(
"user"
,
date_scope
,
columns
=
"SUM(memory_rss)"
,
where
=
"partition = '%s'"
%
partition_id
)
memory_sum
=
zip
(
*
query_result_cursor
)
if
len
(
memory_sum
)
and
memory_sum
[
0
][
0
]
is
None
:
return
query_result_cursor
=
self
.
select
(
"user"
,
date_scope
,
columns
=
"COUNT(DISTINCT time)"
,
where
=
"partition = '%s'"
%
partition_id
)
sample_amount
=
zip
(
*
query_result_cursor
)
self
.
close
()
if
len
(
sample_amount
)
and
len
(
memory_sum
):
return
round
(
memory_sum
[
0
][
0
]
/
sample_amount
[
0
][
0
],
2
)
def
getPartitionConsumption
(
self
,
partition_id
,
where
=
""
):
self
.
connect
()
comsumption_list
=
[]
if
where
!=
""
:
where
=
"and %s"
%
where
date_scope
=
datetime
.
now
().
strftime
(
'%Y-%m-%d'
)
min_time
=
(
datetime
.
now
()
-
timedelta
(
minutes
=
1
)).
strftime
(
'%H:%M:00'
)
max_time
=
(
datetime
.
now
()
-
timedelta
(
minutes
=
1
)).
strftime
(
'%H:%M:59'
)
sql_query
=
"""select count(pid), SUM(cpu_percent) as cpu_result, SUM(cpu_time),
MAX(cpu_num_threads), SUM(memory_percent), SUM(memory_rss), pid from user
where date='%s' and partition='%s' and (time between '%s' and '%s') %s
group by pid order by cpu_result desc"""
%
(
date_scope
,
partition_id
,
min_time
,
max_time
,
where
)
query_result
=
self
.
_execute
(
sql_query
)
for
result
in
query_result
:
count
=
int
(
result
[
0
])
if
not
count
>
0
:
continue
comsumption_list
.
append
([
result
[
6
],
round
((
result
[
1
]
/
count
),
2
),
round
((
result
[
2
]
/
count
),
2
),
round
(
result
[
3
],
2
),
round
((
result
[
4
]
/
count
),
2
),
round
((
result
[
5
]
/
count
),
2
)])
self
.
close
()
return
comsumption_list
def
getPartitionComsumptionStatus
(
self
,
partition_id
,
where
=
""
):
self
.
connect
()
if
where
!=
""
:
where
=
" and %s"
%
where
date_scope
=
datetime
.
now
().
strftime
(
'%Y-%m-%d'
)
min_time
=
(
datetime
.
now
()
-
timedelta
(
minutes
=
1
)).
strftime
(
'%H:%M:00'
)
max_time
=
(
datetime
.
now
()
-
timedelta
(
minutes
=
1
)).
strftime
(
'%H:%M:59'
)
sql_query
=
"""select count(pid), SUM(cpu_percent), SUM(cpu_time),
SUM(cpu_num_threads), SUM(memory_percent), SUM(memory_rss) from user where
date='%s' and partition='%s' and (time between '%s' and '%s') %s"""
%
(
date_scope
,
partition_id
,
min_time
,
max_time
,
where
)
query_result
=
self
.
_execute
(
sql_query
)
result_list
=
zip
(
*
query_result
)
self
.
close
()
if
len
(
result_list
):
result
=
result_list
#[0]
return
{
'total_process'
:
result
[
0
][
0
],
'cpu_percent'
:
round
(
result
[
1
][
0
],
2
),
'cpu_time'
:
round
(
result
[
2
][
0
],
2
),
'cpu_num_threads'
:
round
(
result
[
3
][
0
],
2
),
'memory_percent'
:
round
(
result
[
4
][
0
],
2
),
'memory_rss'
:
round
(
result
[
5
][
0
],
2
)}
return
None
stack/monitor/monitor.cfg.in
View file @
2e122eae
...
...
@@ -195,6 +195,19 @@ context =
[log-folder-cgi]
log-folder = $${monitor-directory:log}
[deploy-ressource-monitoring-cgi]
recipe = slapos.recipe.template:jinja2
template = ${ressources-cgi:location}/${ressources-cgi:filename}
rendered = $${monitor-directory:monitoring-cgi}/$${:filename}
filename = ressources.cgi
mode = 0744
# XXX - We need to find a proper way to set db_path here, maybe by using zero-parameters ??
context =
key monitor_bin monitor-parameters:executable
raw python_executable ${buildout:directory}/bin/${extra-eggs:interpreter}
key root_folder buildout:directory
raw db_path /srv/slapgrid/var/data-log/
[make-rss]
recipe = slapos.recipe.template:jinja2
template = ${make-rss-script:output}
...
...
@@ -370,7 +383,7 @@ certificate = $${ca-httpd:cert-file}
key = $${ca-httpd:key-file}
[httpd-environment]
PYTHONPATH = ${log-tools:location}
PYTHONPATH = ${log-tools:location}
:${collect-tools:location}
[monitor-httpd-configuration-file]
recipe = slapos.recipe.template:jinja2
...
...
stack/monitor/webfile-directory/logfile.cgi.in
View file @
2e122eae
...
...
@@ -201,7 +201,7 @@ else:
<input
type=
"hidden"
name=
"size"
id=
"size"
value=
"%s"
/>
</form>
<div
class=
"box"
>
<h2
class=
"head"
>
Tail
: %s
</h2>
<h2
class=
"head"
>
%s
: %s
</h2>
<div
class=
"button"
>
<button
type=
"submit"
class=
"pure-button pure-button-primary"
id=
"return"
>
Return
</button>
<button
type=
"submit"
class=
"pure-button pure-button-primary"
id=
"reload"
>
Refresh
</button>
...
...
@@ -209,7 +209,8 @@ else:
<div
style=
'clear:both'
></div>
<textarea
id=
"logcontent"
readonly
>
%s
</textarea>
</div>
""" % (script_path, logpath, action, pattern, size, title, log_content)
""" % (script_path, logpath, action, pattern, size, action.upper(),
title, log_content)
if pattern:
print "
<p>
Pattern string is: %s
</p>
" % pattern
print """
...
...
stack/monitor/webfile-directory/ressources.cgi.in
0 → 100644
View file @
2e122eae
#!{{ python_executable }}
import cgi
import cgitb
import json
import os
import pwd
from time import strftime
from datetime import datetime
import collect
cgitb.enable(display=0, logdir="/tmp/cgi.log")
form = cgi.FieldStorage()
db_path = "{{ db_path }}"
action = form.getvalue("action", "")
home = "{{ root_folder }}".strip()
if action:
db = collect.Database(directory=db_path)
stat_info = os.stat(home)
partition_user = pwd.getpwuid(stat_info.st_uid)[0]
result_dict = {}
date_scope = datetime.now().strftime('%Y-%m-%d')
if action == "refresh":
result_dict['consumption'] = db.getPartitionConsumption(partition_user)
result_dict['status'] = db.getPartitionComsumptionStatus(partition_user)
result_dict['cpu-load'] = db.getPartitionCPULoadAverage(
partition_user, date_scope)
result_dict['memory'] = db.getPartitionUsedMemoryAverage(
partition_user, date_scope)
print json.dumps(result_dict)
else:
print """
<html><head>
<link
rel=
"stylesheet"
href=
"static/pure-min.css"
>
<link
rel=
"stylesheet"
href=
"static/style.css"
>
<script
src=
"static/jquery-1.10.2.min.js"
></script>
<style
type=
"text/css"
>
.tg
{
border-collapse
:
collapse
;
border-spacing
:
0
;
border-color
:
#fff
;
border-width
:
1px
;
border-style
:
solid
;
width
:
100%
}
.tg
td
{
font-family
:
Arial
,
sans-serif
;
font-size
:
14px
;
padding
:
10px
5px
;
border-style
:
solid
;
border-width
:
0px
;
overflow
:
hidden
;
word-break
:
normal
;
border-color
:
#ccc
;
color
:
#333
;
background
:
transparent
;}
.tg
th
{
font-family
:
Arial
,
sans-serif
;
font-size
:
14px
;
font-weight
:
normal
;
padding
:
10px
5px
;
border-style
:
solid
;
border-width
:
0px
;
overflow
:
hidden
;
word-break
:
normal
;
border-color
:
#ccc
;
color
:
#333
;
background-color
:
#f0f0f0
;}
.tg
tr
{
background-color
:
#fff
;}
.tg
.tg-0ord
{
text-align
:
right
}
.tg
.tg-s6z2
td
{
text-align
:
center
}
.tg
.tg-zapm
{
background-color
:
#f9f9f9
;}
.tg
.tg-4eph
{
background-color
:
#f9f9f9
}
.head
{
background-color
:
#0078e7
;
border
:
0px
solid
#ffffff
;
text-align
:
left
;
border-width
:
0px
0px
1px
1px
;
font-size
:
18px
;
font-family
:
Helvetica
;
font-weight
:
normal
;
color
:
#ffffff
;
display
:
block
;
padding
:
10px
;
margin
:
0
;
}
.box
{
border
:
1px
solid
#e8eaed
;
padding
:
5px
;
}
</style>
<script
language=
"javascript"
type=
"text/javascript"
>
$
(
document
).
ready
(
function
()
{
var
send
=
false
;
autoRefresh
();
function
autoRefresh
()
{
refresh
();
setTimeout
(
function
(){
autoRefresh
();
},
60000
);
}
function
refresh
()
{
if
(
send
)
{
return
}
var
dataPost
=
{
'
posting-script
'
:
"
monitoring/ressources.cgi
"
,
action
:
"
refresh
"
};
send
=
true
;
$
(
"
#msg
"
).
fadeIn
();
$
.
ajax
({
type
:
"
POST
"
,
url
:
'
/index.cgi
'
,
data
:
dataPost
})
.
done
(
function
(
data
)
{
var
result
=
JSON
.
parse
(
data
);
var
consump
=
result
[
'
consumption
'
],
line
=
""
,
line2
=
""
;
var
table1
=
""
,
table1
=
""
,
table3
=
""
,
klass
=
""
;
table2
=
'
<tr><th class="tg-s6z2">Total Process</th>
'
;
table2
+=
'
<th class="tg-s6z2">CPU %</th><th class="tg-s6z2">CPU Time</th>
'
;
table2
+=
'
<th class="tg-s6z2">Threads</th><th class="tg-s6z2">Memory Usage</th>
'
;
table2
+=
'
<th class="tg-s6z2">Memory %</th></tr>
'
;
table1
=
'
<tr><th class="tg-s6z2">Process PID</th>
'
;
table1
+=
'
<th class="tg-s6z2">CPU %</th><th class="tg-s6z2">CPU Time</th>
'
;
table1
+=
'
<th class="tg-s6z2">Threads</th><th class="tg-s6z2">Memory Usage</th>
'
;
table1
+=
'
<th class="tg-s6z2">Memory %</th></tr>
'
;
table3
=
'
<tr><th class="tg-s6z2">CPU Load Average</th>
'
;
table3
+=
'
<th class="tg-s6z2">Memory Consumption Average</th></tr>
'
;
line2
=
"
<tr class='tg-4eph tg-s6z2'>
"
line2
+=
"
<td>
"
+
result
[
'
status
'
][
'
total_process
'
]
+
"
</td>
"
;
line2
+=
"
<td>
"
+
result
[
'
status
'
][
'
cpu_percent
'
]
+
"
</td>
"
;
line2
+=
"
<td>
"
+
result
[
'
status
'
][
'
cpu_time
'
]
+
"
</td>
"
;
line2
+=
"
<td>
"
+
result
[
'
status
'
][
'
cpu_num_threads
'
]
+
"
</td>
"
;
line2
+=
"
<td>
"
+
result
[
'
status
'
][
'
memory_rss
'
]
+
"
</td>
"
;
line2
+=
"
<td>
"
+
result
[
'
status
'
][
'
memory_percent
'
]
+
"
</td>
"
;
line2
+=
"
</tr>
"
;
for
(
var
i
=
0
;
i
<
consump
.
length
;
i
++
)
{
if
(
klass
===
""
)
{
klass
=
'
tg-4eph
'
;}
else
{
klass
=
""
;}
line
+=
"
<tr class='
"
+
klass
+
"
tg-s6z2'>
"
line
+=
"
<td>
"
+
consump
[
i
][
0
]
+
"
</td>
"
;
line
+=
"
<td>
"
+
consump
[
i
][
1
]
+
"
</td>
"
;
line
+=
"
<td>
"
+
consump
[
i
][
2
]
+
"
</td>
"
;
line
+=
"
<td>
"
+
consump
[
i
][
3
]
+
"
</td>
"
;
line
+=
"
<td>
"
+
consump
[
i
][
5
]
+
"
</td>
"
;
line
+=
"
<td>
"
+
consump
[
i
][
4
]
+
"
</td>
"
;
line
+=
"
</tr>
"
;
}
table3
+=
"
<tr class='tg-4eph tg-s6z2'>
"
table3
+=
"
<td>
"
+
result
[
'
cpu-load
'
]
+
"
</td>
"
;
table3
+=
"
<td>
"
+
result
[
'
memory
'
]
+
"
</td></tr></table>
"
;
$
(
"
#box3
"
).
html
(
table3
);
$
(
"
#box2
"
).
html
(
table2
+
line2
+
'
</table>
'
);
$
(
"
#box1
"
).
html
(
table1
+
line
+
'
</table>
'
);
})
.
fail
(
function
(
jqXHR
,
exception
)
{
$
(
"
#error
"
).
html
(
jqXHR
);
})
.
always
(
function
()
{
send
=
false
;
$
(
"
#msg
"
).
fadeOut
();
});
}
$
(
"
#refresh
"
).
click
(
function
()
{
refresh
();
});
});
</script>
</head><body>
<h1>
Computer partition ressources monitoring
</h1>
<div
style=
"width:850px; padding: 10px 0;"
>
<div
style=
'float:left; width: 500px'
>
<table
class=
"tg"
id=
"box3"
>
<tr>
<th
class=
"tg-s6z2"
>
CPU Load Average
</th>
<th
class=
"tg-s6z2"
>
Memory Consumption Average
</th>
</tr>
</table>
</div>
<div
style=
'float:left; padding-left:50px;'
>
<button
type=
"button"
class=
"pure-button pure-button-primary"
id=
"refresh"
>
Refresh data
</button>
<span
style=
"padding: 5px; color:rgb(217, 39, 39); display:none"
id=
"msg"
>
Loading data...
</span>
<br/>
<p>
Note: Data are refreshed every minutes.
</p>
</div>
</div>
<div
style=
'clear:both'
></div>
<h2>
Total ressources consumption for partition (last minute)
</h2>
<table
class=
"tg"
id=
"box2"
>
<tr>
<th
class=
"tg-s6z2"
>
Total Process
</th>
<th
class=
"tg-s6z2"
>
CPU %
</th>
<th
class=
"tg-s6z2"
>
CPU Time
</th>
<th
class=
"tg-s6z2"
>
Threads
</th>
<th
class=
"tg-s6z2"
>
Memory Usage
</th>
<th
class=
"tg-s6z2"
>
Memory %
</th>
</tr>
</table>
<h2>
ressources consumption for partition by process pid (last minute)
</h2>
<table
class=
"tg"
id=
"box1"
>
<tr>
<th
class=
"tg-s6z2"
>
Process PID
</th>
<th
class=
"tg-s6z2"
>
CPU %
</th>
<th
class=
"tg-s6z2"
>
CPU Time
</th>
<th
class=
"tg-s6z2"
>
Threads
</th>
<th
class=
"tg-s6z2"
>
Memory Usage
</th>
<th
class=
"tg-s6z2"
>
Memory %
</th>
</tr>
</table>
<p
id=
"error"
></p>
</body></html>
"""
\ No newline at end of file
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment