Python
Table of contents
Follow these steps to integrate the Shared Data Access System in your Python code. All the examples were successfully tested in Windows and some linux distributions like Gentoo, Fedora and Red Hat.
Download extra packages
In case you don’t already a numeric Python package installed in your system (Numpy, numarray or Numeric)
download Numpy .
In order to plot and view data, you may also need more packages. For this, Matplotlib is recommended.
Instead, you can also install Anaconda, which is a popular Pyhotn platform that includes these packages and many other.
Download the libraries
Download the following file into a folder of your system:
Unpack it and run:
python setup.py install
If you have Anaconda installed, you should use pip instead:
pip install sdas-1.0.tar.gz
You may need to have root or administrator privileges.
Another option is to copy the sdas folder, inside the package, to the same folder where you have your code.
Get a connection to the sdas server
In a the python interpreter:
>>> from sdas.core.client.SDASClient import SDASClient >>> from sdas.core.SDAStime import Date, Time, TimeStamp >>> host='baco.ipfn.ist.utl.pt' >>> port=8888 >>> client = SDASClient(host,port)
Search events
>>> found = client.searchDeclaredEventsByName('S');
>>> found = client.searchDeclaredEventsByName('SHOT', 'pt');
>>> found = client.searchDeclaredEventsByUniqueID('SHOT', 'pt');
>>> found = client.searchDeclaredEventsByDescription('SHOT');
>>> found = client.searchDeclaredEventsByDescription('SHOT', 'pt');
>>> for item in found:
>>> print 'item', item
>>> max = client.searchMaxEventNumber('0x0000')
>>> min = client.searchMinEventNumber('0x0000')