Seabreeze-Server
A python TCP-Server which allows a OceanOptics Spectrometer to be connected to
over a network
The purpose of this library is to allow OceanOptics spectrometers to be
effectively wifi-enabled, so that data-aquisition can be handled by multiple
computers (some potentially offsite), without having to fiddle with usb cords.
Additionally, this opens up the possibility for open-source, web-based user
interfaces to be developed for OceanOptics devices.
This package uses the seabreeze.cseabreeze
backend to handle communications
between the server and the spectrometer, by exposing the backend API functions
to the seabreeze_server.server.SpectrometerManager
object. (Alternatively,
a physical spectrometer can also be emulated in software with the
seatease
package, but setting SpectrometerManager(emulate=True)
). The TCP
server is handled by the seabreeze_server.server.SeaBreezeServer
class
(based on the remote-object
package), which exposes the SpectrometerManager
object's methods and attributes to seabreeze_server.client.SeaBreezeClient
instances.
Security Note
ONLY INTERACT WITH SERVERS THAT YOU TRUST. The seabreeze_server.client.Client
object uses pickle.load
to deserialize data and objects from the server. This
process is able to execute arbitrary code on your machine. This can easily be
exploited by malicious agents to compromise your system. The pickle
library,
and by extension python-seabreeze-server
, leave it to the user to make wise
decisions about what they chose to unpickle. Be smart.
Basic Use
On the server-side, connect and configure your spectrometer hardware for
whatever kind of measurement you desire, then run something like:
HOST, PORT = 'your-ip', 9999
with seabreeze_server.server.SeaBreezeServer(
(HOST, PORT),
emulate = False
) as server:
server.serve_forever()
See the socketserver.TCPServer
documentation for more ideas about
how to manage this server.
Then on the client-side, run something like the following:
HOST, PORT = 'your-ip', 9999
client = seabreeze_server.client.Client(HOST, PORT)
print(
"Available Devices:\n",
"\n".join(["%d : %s" % (i,dev)\
for i,dev in enumerate(client.list_devices())
])
)
client.select_spectrometer(0)
client.set_integration_time_micros(10*1000)
wls = client.get_wavelengths()
i = client.get_intensities()
Installing (pip
)
seabreeze-server
is available via pip:
$ pip install seabreeze-server
If you haven't previously installed seabreeze
, you might need to do a bit of
work, see 'SeaBreeze Setup' below for more details.
SeaBreeze Setup
Installing seabreeze
can take some trial an error, especially on linux,
make sure that after pip
installing (or conda
installing, whatever,
you do you) you are also run the os setup script:
$ pip install seabreeze
$ seabreeze_os_setup
If you are still having trouble, check out the main seabreeze
documentation.
Development
For development, clone this directory, then have fun! Pro-tip: setup a python
virtual environment in the main directory:
$ python3 -m venv venv
$ source venv/bin/activate
Installing
(venv) $ python3 setup.py install
(venv) $ seabreeze_os_setup
Creating source packages
(venv) $ python3 setup.py sdist bdist_wheel
Uploading to PyPI
(venv) $ python3 -m twine upload dist/*
See: [https://packaging.python.org/tutorials/packaging-projects/]
Acknowledgements
The authors would like to thank Andreas Poehlmann
and collaborators for creating the original python-seabreeze
package,
which this library depends heavily upon. His package has been indispensable
to our research.