About

Main authors of this web:

Michal Odstrcil
Tomas Odstrcil
Ondrej Grover

Warranty

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMIT- ED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Basic rules:

• Do not copy large files do your directory, use pygolem_lite or symbolic links
• Do not place static files such as manuals to include directories, place it to one shared location
• Preferably use binary saved data, not ASCII (text) files => it is much faster and saves disk space
• Plot images in png, svg, svgz formats, !! do not use jpg !!!
• Try to limit your CPU/memory/disk space usage
• Do never place computationaly demanding tasks to your mako template code

FAQ:

Pygolem web interface

See Python/Matlab/IDL interface in our wiki. If you need to download data from many shots, the simplest way is to use pygolem web interface: http://golem.fjfi.cvut.cz/utils/data//loop_voltage . Names of the diagnostics are shown in Data page and you can either use the links provided by the Data page or if you prefer another data formats use following syntax

http://golem.fjfi.cvut.cz/utils/data/24182/<your diagn name>_<options>.<format>

supported formats are

None Ordinary TAB separated ASCII format .txt Ordinary TAB separated ASCII format .gzZip compressed ordinary TAB separated ASCII format .csvComma / semicolon separated ASCII values .npy Standard python binary data .npz Compressed python binary data (see python interface) .matMatlab binary data (see matlab interface) .xlsExcel 97 format imageSupported formats: png, svg, svgz .proIDL - not supported, use .mat files (load_mat.pro), (see IDL interface )

for the ASCII formats you can select if you prefer dots/commas decimal separators

_dp Dots point separators, selected as default !! _cpComma points separator

Examples:

http://golem.fjfi.cvut.cz/utils/data/24182/loop_voltage - returns simple ASCII data
http://golem.fjfi.cvut.cz/utils/data/24182/loop_voltage.npz - returns compressed loop voltage data
http://golem.fjfi.cvut.cz/utils/data/24182/loop_voltage_cp.csv - comma separated csv - czech excel
http://golem.fjfi.cvut.cz/utils/data/24182/loop_voltage.xls - Excel/OO Calc/Gnumeric

See more details in our wiki

Add new page

• get an account for buon.fjfi.cvut.cz
• add new folder to includes/analysis or includes/diagnostics in form [data][Name][.ON] (see /golem/database/velin/includes/)
• put some html/php/template file inside, ( supported types: html, htm, php, template ), name of file corresponds to title, file can start with numbers (i.e 01_Title.htm) if you need to select the items order in menu
• add scripts that should prepare all data / graphs for the web to your folder
• add makefile that have functions "acquisition", "analysis", "plots", ("postanalysis"), acquisition should do only basic data processing, and all plotting should be in "plots" !!! to improve speed (parallelization)
• Your template and log files will be linked in top right corner of your page

Load data in your page

use code i.e for loop voltage

from pygolem_lite import Shot
tvec, data  = Shot()['loop_voltage']

and you will download data for shot number where is currently placed your script otherwise use

from pygolem_lite import Shot
tvec, data  = Shot(24182)['loop_voltage']

if you want to download data from DAS "nistandard":

tvec, data  = Shot(24182)['nistandard']

if you need only one channel you can use either number or channel id

tvec, data  = Shot(24182)['nistandard', 0]
tvec, data  = Shot(24182)['nistandard', 'uloop']

full list of accesible signal is in shots/24182//Data.php
Is is also possible to use wget and pygolem web interface.

Generate an icon for your analysis/diagnostics on the Home page

You should generate an image with width = 150px and height ~ 100px in your folder and name it icon.png You can either use simple bash command and convert your plot to the small size

convert -resize 150x120\! your_plot.png icon.png

or if you use Python

import os
os.system('convert -resize 150x120\! your_plot.png icon.png')

and finally if you used pygolem plot interface you can create a small plot

paralel_multiplot(data, "" , 'icon', (4,3), 40)

Comments

• How to access such data? Try e.g. Wget or pygolem or pygolem web interface
• Any comments, suggestions? Do you miss something? Send an e-mail