Python Twinleaf I/O
This package implements a communications protocol in python to work with Twinleaf sensors using Twinleaf I/O (TIO) as the communications layer. Data from the sensors is received via PUB messages and sensor parameters may be changed using REQ/REP messages.
Two example scripts are installed with this package:
- itio: A interactive session for configuring devices
- tio_monitor: A live graph of streamed data (does not work on windows)
These examples can be called with "url" that is either a serial port (
COMx) or a net url such as
Python >= 3.6 is required.
- Windows may use the python.org installer
- macOS may consider installing with Homebrew:
brew install python3
- linux use your native package manager; debian/ubuntu:
sudo apt-get install python3.
The interactive prompt is a lot better if ipython is available (
pip3 install ipython).
tio-python is uploaded to PyPI and can be installed/upgraded using
- Windows Command Prompt
py -m pip install tio --upgrade
pip3 install tio --upgrade
Windows users who can't run python might need to add python to their path.
iPython greatly enhances the interactive itio.py program. It is possible to explore the properties of a device by using tab completion to see available properties and methods. Get it
pip3 install ipython
py -m pip install ipython
Sadly, python is not the best choice for fast data processing. If the background thread ingesting the data does not keep up with the data rate, it exits with an error.
At the moment, the native serial interface is significantly slower than the TCP version. As a result, we recommend that users use the TCP proxy program found in tio-tools to manage the serial port in C and convert the data into a TCP stream. The proxy has the added advantage that multiple clients can simultaneously connect to the sensor and use the data.
Terminal #1: serial proxy
$ bin/proxy /dev/ttyUSB0
Terminal #2: your python program
$ itio.py ...
where the proxy serves to port 7855 and itio by default connects to that port on localhost. This also permits more interesting networking topologies and distributed signal anslysis possible.
tldevice module performs metaprogramming to construct an object that has methods that match the RPC calls available on the device. It uses the
tio module, a lower-level library for connecting and managing a communication session. To interact with a Twinleaf CSB current supply, a script would look like:
import tldevice csb = tldevice.Device('COM1') csb.coil.x.current(0.25) # mA
To receive data streams from a sensor such as the Twinleaf VMR vector magnetometer, it is possible to use the named streams such as vmr.gmr(duration=1) to get one second of data. To get the data from all the streams synchronously, use the iterator at vmr.data.stream_iter(). A simple logging program for the VMR vector magnetometer would look like this:
import tldevice vmr = tldevice.Device() file = open('log.tsv','w') for row in vmr.data.stream_iter(): rowstring = "\t".join(map(str,row))+"\n" file.write(rowstring)
- Threaded session management
- Attempt automatic reconnection on loss of port
- stream_iter smarter should terminate if the setup changes