OML4Py: Native OML Implementation in Python
This is a Python module for the OML measurement library based on the OML text protocol oml-text.
Install using pip oml4py-pypi::
$ pip install oml4py
or download the package and run::
$ python setup.py install
This module provides the OMLBase class, which contains the following methods:
To use OML in a python project, import the OMLBase class::
from oml4py import OMLBase
Start by initializing an OMLBase object. The init method takes up to four arguments:
the name of the application,
the name of the experiment,
the name of the node,
and the OML server URI in the form
The only mandatory argument is the first one (the name of the application). If you skip any of the others, they may be defined by environment variables (OML_DOMAIN, OML_NAME, OML_COLLECT) or via command-line options. If these variables are not passed in explicitly and neither the command line options nor environment variables are defined then the application will run with OML disabled, and the measurements that would have been sent to OML will be printed on stdout instead.
Next, add one or more measurement points. Pass the name of the measurement
point and a schema string to the start method. The schema string should
be in the format
x.addmp("fft", "freq:uint64 amplitude:double fft_val:double")
Where the measurement_typeN is one of: "int32", "uint32", "int64", "uint64", "double", "string", "bool" or "blob".
When you have set up all your measurement points, call start()::
When you have a measurement point to send to OML, store them in a tuple Then pass the name of the measurement point and the tuple of values to inject, as follows::
x.inject("fft", (259888, 15, -38))
When injecting a tuple the values you provide are converted to text representation using python's str() conversion for all types except "blob". An argument of type blob will be passed to the base64.b64encode() method and so the argument must be either a byte array or a string; any other type may cause a TypeError.
At the end of your program, call close to gracefully close the database::
OML4Py was contributed by Fraida Fund, from NYU-Poly.
Copyright 2012 NYU-Poly, Fraida Fund
Copyright 2012-2013 National ICT Australia (NICTA), Australia
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS 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.