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Page last modified 18:12, 10 Feb 2011 by Admin

Octave

    Version as of 17:27, 5 Apr 2025

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    Follow these steps to integrate the Shared Data Access System in your Octave code. All the examples were successfully tested in MS Windows and Linux distributions like Fedora, Gentoo and Debian. Please notice that you have to install the Octave JAVA support first. An octave FAQ on how to install packages can be found in the project's sourceforge homepage.

    Installation of Java support 

    You should use the last version (at least 1.5) of the Sun Java Development Kit (JDK).
    First you have to find out where is your java home located. To avoid errors, download and run this utility. The value returned by the utility is the JAVA_JRE value.

    Now you have to set JAVA_HOME as a system variable: 

    ./linux.gif

     

    Supposing you have the JAVA_JRE in /opt/jdk1.6.0_18/jre: 

    export JAVA_HOME="/opt/jdk1.6.0_18/"

    ./windows.gif



    Open the windows System Properties (right - click on My Computer or go to the Control Panel)

    Select the tab Advanced
    Click on Environment Variables...
    In the system variables click New...
    The Variable name is: JAVA_HOME
    In the value field (supposing the value of JAVA_JRE is C:\java\jdk1.6.0_18\jre) enter the following value: C:\java\jdk1.6.0_18

    In MS Windows you need to define two more system variables:

    • JAVA_INCS: create this system variable with directives for the java compiler to include the header files that come with JDK (switch \ with /). Using the example above, the value of JAVA_INCS would be: 

    -IC:/java/jdk1.6.0_18/include -IC:/java/jdk1.6.0_18/include/win32 

    • Add JAVA_HOME\bin to the existing PATH system variable. Following the examples above, you must add:

      C:\java\jdk1.6.0_18\bin

    Download the libraries

    Download the following libraries into a folder of your system:

    Apache XML-RPC
    Apache Jakarta Commons
    SDAS Core Libraries
    SDAS Client

    Since the server at baco computer uses an older version, if you are planing on accessing it server, you should download this version of SDAS Core Libraries and Client:

    SDAS Core Libraries
    SDAS Client

    Add the SDAS libraries to the octave classpath

    These example assume that you have saved all the jar files in the folder /home/user/sdas/

    javaaddpath("/home/user/sdas/SDAS.jar")
javaaddpath("/home/user/sdas/SDASClient.jar")
javaaddpath("/home/user/sdas/commons-codec-1.3.jar")
javaaddpath("/home/user/sdas/xmlrpc-2.0.jar") 

    Get a connection to the sdas server

    client = java_new("org.sdas.core.client.SDASClient", "baco.ipfn.ist.utl.pt", 8888);

    Search eventsEdit section

    found = client.searchDeclaredEventsByName('S');

found = client.searchDeclaredEventsByName('S');

found = client.searchDeclaredEventsByName('SHOT', 'en');

found = client.searchDeclaredEventsByUniqueID('SHOT', 'en');

found = client.searchDeclaredEventsByDescription('SHOT');

found = client.searchDeclaredEventsByDescription('SHOT', 'en');

for i=1:1:size(found)
    found(i).toString
end

max = client.searchMaxEventNumber('0x0000')

min = client.searchMinEventNumber('0x0000')

    Search events in a time windowEdit section

    NOTE: You can construct time with a resolution of picosseconds, just add to the example values for millis, micros, nanos and picos
    NOTE 2: Date constructors have the months index to 0 (January is 0 and December is 11)

    Search events in December 2005: 

    date_start = java_new("org.sdas.core.time.Date", 2005, 11, 1);
date_end =  java_new("org.sdas.core.time.Date", 2005, 11, 31);
tstart =  java_new("org.sdas.core.time.TimeStamp", date_start);
tend =  java_new("org.sdas.core.time.TimeStamp", date_end);
eventsFound = client.searchEventsByEventTimeWindow(tstart, tend);
for i = 1:1:size(eventsFound)
    eventsFound(i).toString
end

    Search events in the 22 December 2005 between 5pm and 6pm: 

    date_start = java_new("org.sdas.core.time.Date", 2005, 11, 22);
date_end = java_new("org.sdas.core.time.Date", 2005,11,22);
time_start = java_new("org.sdas.core.time.Time", 17, 0, 0);
time_end = java_new("org.sdas.core.time.Time", 18, 0, 0);
tstart = java_new("org.sdas.core.time.TimeStamp", date_start, time_start);
tend = java_new("org.sdas.core.time.TimeStamp", date_end, time_end);
eventsFound = client.searchEventsByEventTimeWindow(tstart, tend);
for i = 1:1:size(eventsFound)
    eventsFound(i).toString
end

    Search parametersEdit section 

    parametersFound = client.searchParametersByName('DENS');

parametersFound = client.searchParametersByName('DENS', 'pt');

parametersFound = client.searchParametersByUniqueID('DENS');

parametersFound = client.searchParametersByDescription('current');


for i = 1:1:size(parametersFound)
    parametersFound(i).toString
end

    Search dataEdit section

    This function returns the parameters unique identifiers where the data isn’t null for the selected event: 

    dataFound = client.searchDataByEvent('0x0000', 17898);
for i = 1:1:size(dataFound)
    dataFound (i)
end

    Get data

    NOTE: The unique identifiers are CASE-SENSITIVE

    NOTE2: Some java types like float and long are not automatically recognised by octave. A transformation must be manually performed using the intValue and doubleValue methods

    The returned data structure gives you information about:

    • start time
    • end time
    • time of the event
    • mime_type
    • the parameter unique identifier

    Data for only one parameter 

    dataStructArray=client.getData('POST.PROCESSED.DENSITY','0x0000', 17898)
dataStruct=dataStructArray(1);
dens=dataStruct.getData;
for i=1:length(dens)
density(i)=dens(i).doubleValue;
end
tstart = dataStruct.getTStart;
tend = dataStruct.getTEnd;

    Calculate the time between samples 

    tbs= (tend.getTimeInMicros.intValue - tstart.getTimeInMicros.intValue)/length(density);

    Get the events  associated with this data 

    events = dataStruct.getEvents;

    The event time (I’m assuming the event I want is at the index 0, but I should check first...) 

    tevent = events(1).getTimeStamp;

    The delay of the start time relative to the event time 

    delay = tstart.getTimeInMicros.intValue - tevent.getTimeInMicros.intValue

    Finally create the time array  

    times = delay:tbs:delay+tbs*(length(density)-1);

    And plot the data

    plot(times, density);

    Data for several parameters in the same event 

    dataStruct=client.getMultipleData({'POST.PROCESSED.DENSITY', 'POST.PROCESSED.IPLASMA'},'0x0000', 17898)
dataStructDens=dataStruct(1,1);
dataStructIP=dataStruct(2,1);
dens=dataStructDens.getData(); 
ip=dataStructIP.getData(); 

    Data for several parameters in different events 

    dataStruct=client.getMultipleData({'POST.PROCESSED.DENSITY', 'POST.PROCESSED.IPLASMA'},{'0x0000','0x0000'}, [17898,17899])
dataStructDens=dataStruct(1,1);
dataStructIP=dataStruct(2,1);
dens=dataStructDens.getData(); 
ip=dataStructIP.getData();

    Data for the same parameter in different events 

    dataStruct=client.getMultipleData('POST.PROCESSED.DENSITY',{'0x0000','0x0000'}, [17898,17899])
dataStructDens=dataStruct(1,1);
dataStructIP=dataStruct(2,1);
dens=dataStructDens.getData(); 
ip=dataStructIP.getData();

    Data for the same parameter in different event numbers 

    dataStruct=client.getMultipleData('POST.PROCESSED.DENSITY', '0x0000', [17898,17899])

     

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