pytelemetry

First class data visualization and communication with embedded devices


Keywords
lightweight, communication, protocol, embedded, telemetry, remote, program, control
License
MIT
Install
pip install pytelemetry==1.1.9

Documentation

PyPI version Join the chat at https://gitter.im/Overdrivr/pytelemetry Stories in Ready Windows Build status Linux Build Status

pytelemetry

Overview

  • pytelemetry provides high-level communication with any embedded device for remote control and monitoring. Specifically, pytelemetry implements a custom communication protocol, based on the PubSub (Publish/Subscribe) messaging pattern.

  • telemetry is the C implementation of the protocol. It can run on any embedded system, along with official distributions for Arduino and ARM Mbed.

  • pytelemetrycli PyPI version is a powerful command line interface to interact with embedded devices using the protocol. It enables instant data visualization of any received data, full logging of communications, health monitoring of the serial port and much more.

Usage

Data is exchanged on named communication channels called topics.

First, instanciate one of the available transport class (Note: so far, only serial transport is implemented) and the Pytelemetry object.

from pytelemetry import Pytelemetry
from pytelemetry.transports.serialtransport import SerialTransport
import time

# create a transport (Here based on pyserial) to exchange data through serial port
transport = SerialTransport()

# Top level Pytelemetry api
tlm = Pytelemetry(transport)

# Connection to serial port `COM20` at `9600` bauds.
transport.connect({'port': "com20", 'baudrate': 9600})

Publish once to topic named throttle, sending effectively the value 0.8 of type float to the embedded device.

# publish on a topic
tlm.publish('throttle',0.8,'float32')

Subscribe a printer function to all received topics. Basically, this function will be called every time a new frame is received.

def printer(topic, data, options):
    print(topic," : ", data)

# subscribe to a topic. Subscribing to None subscribes to all
tlm.subscribe(None, printer)

Then, run an update during 3 seconds and disconnect after.

# Update during 3 seconds
timeout = time.time() + 3
while True:
    tlm.update()
    if time.time() > timeout:
        break

# disconnect
transport.disconnect()
print("Done.")

If the embedded device published regularly on topic foo with an incrementing value, you should see in the console:

foo : 34
foo : 35
foo : 36
foo : 37
Done.

Installation

Python 3.3 and upward is supported. Python 2.x is not supported for now.

pip3 install pytelemetry

Advanced features

  • Support for arrays and sparse arrays. Send individual array items along with their item using topics like foo:2. '2' is used here for the index, the value is provided inside the payload.

Future improvements

In the next milestone, it is planned to make topics more meaningful (on the python-implementation only).

  • Publishing to topics like bar\foo, will add group data. This will indicate that there is a group called bar, with a subtopic called foo
  • Combination : bar\foobar\foo,bar\foobar\foo:2
  • Multiple instances : bar\12\foo will be understood as foo instance number 12 (useful if you want to have multiple instances under a same topic name)

For both python and C implementations of the protocol, it is also planned:

  • add string compression with Huffman's Algorithm
  • replace the byte stuffing algorithm by a consistent-over byte stuffing algorithm

    Both will contribute to reduce overhead and frames size.