mirror of
https://git.yoctoproject.org/git/poky
synced 2026-01-01 13:58:04 +00:00
* Fix teh output filename to make it easy to use
* Add a default output format (svg)
* Fix the usage message
* Fix the version to v1.0.0
Currently, the help messages are:
$ ./pybootchartgui.py --help
Usage: pybootchartgui.py [options] /path/to/tmp/buildstats/<recipe-machine>/<BUILDNAME>/
Options:
--version show program's version number and exit
-h, --help show this help message and exit
-i, --interactive start in active mode
-f FORMAT, --format=FORMAT
image format: svg, pdf, png, [default: svg]
-o PATH, --output=PATH
output path (file or directory) where charts are
stored
-s NUM, --split=NUM split the output chart into <NUM> charts, only works
with "-o PATH"
-n, --no-prune do not prune the process tree
-q, --quiet suppress informational messages
--very-quiet suppress all messages except errors
--verbose print all messages
[YOCTO #2403]
(From OE-Core rev: 138c2c31e41e3f1803b7efbedf78326d71821468)
Signed-off-by: Robert Yang <liezhi.yang@windriver.com>
Signed-off-by: Richard Purdie <richard.purdie@linuxfoundation.org>
|
||
|---|---|---|
| .. | ||
| pybootchartgui | ||
| AUTHORS | ||
| COPYING | ||
| pybootchartgui.py | ||
| README | ||
PYBOOTCHARTGUI ---------------- pybootchartgui is a tool for visualization and analysis of the GNU/Linux boot process. It renders the output of the boot-logger tool bootchart (see http://www.bootchart.org/) to either the screen or files of various formats. Bootchart collects information about the processes, their dependencies, and resource consumption during boot of a GNU/Linux system. The pybootchartgui tools visualizes the process tree and overall resource utilization. pybootchartgui is a port of the visualization part of bootchart from Java to Python and Cairo. Adapted from the bootchart-documentation: The CPU and disk statistics are used to render stacked area and line charts. The process information is used to create a Gantt chart showing process dependency, states and CPU usage. A typical boot sequence consists of several hundred processes. Since it is difficult to visualize such amount of data in a comprehensible way, tree pruning is utilized. Idle background processes and short-lived processes are removed. Similar processes running in parallel are also merged together. Finally, the performance and dependency charts are rendered as a single image to either the screen or in PNG, PDF or SVG format. To get help for pybootchartgui, run $ pybootchartgui --help http://code.google.com/p/pybootchartgui/