sensors_connectivity 1.3.3

Robonomics package to read data from sensors and publish to different output channels

Add telemetry agent functions to your Aira instance

Aira source package to input data from sensors.

Module For Your Aira Instance. Add Telemetry Agent

The Aira package allows you to read data from a SDS011 sensor (and a few others) and publish to different output channels. That said Aira is able to form Demand and Result messages and a few other channels. Also it includes Datalog feature which is still experimental. It could be used to publish data to Substrate based blockchain by Robonomics.

Pre-requirements

To build a python package IPFS daemon should be installed. Assyming, you work with linux:

wget https://dist.ipfs.io/go-ipfs/v0.8.0/go-ipfs_v0.8.0_linux-amd64.tar.gz
tar -xzf go-ipfs_v0.8.0_linux-amd64.tar.gz
cd go-ipfs
sudo bash install.sh 
ipfs init

Installation as PyPi package

pip3 install py-sr25519-bindings
pip3 install sensors-connectivity

Configuration

Here you can find an article to set a proper configuration for your instance.

Running

First, launch IPFS daemon:

ipfs daemon --enable-pubsub-experiment

After config and log files are setted, you can run the service: (in another terminal)

sensors_connectivity "path/to/your/config/file"

You will be able to see logs in your console and in ~/.logs.

Build from source

Requirements

To build a python package fron source poetry should be also installed. Assyming, you work with linux:

curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -

Get a Package And Installing dependencies

git clone https://github.com/airalab/sensors-connectivity
cd sensors-connectivity
poetry install

Documentation

To prepare a sensor for the work with the package follow instructions on Robonomics Wiki.

Configuration

Here you can find an article to set a proper configuration for your instance.

Make a copy of default.json and fill it using description from the article.

You also can set a logging file. The default file for logs is logging.py, which uses console and file handler by default. Pay attention for the file handler. The template is stored in connectivity/config/logging_template.py. You can cpecify the path (filename), where your logs will be stored in (do not forget to create this directory if it doesn't exist). Default path for logs is ~/.logs. You can figure any other handlers from the library.

Running

First, launch IPFS daemon:

ipfs daemon --enable-pubsub-experiment

After config and log files are setted, you can run the service: (in another terminal)

poetry run sensors_connectivity "path/to/your/config/file"  

If your log file is setted with console handler, you will be able to see logs in your console.

Example of output:

2022-02-17 19:30:51,248 - INFO - Getting data from the stations...
2022-02-17 19:30:51,443 - INFO - airalab-http-v0.8.0: [[], [{MAC: c8e2650f254e, Uptime: 0:00:14.010502, M: {Public: 0be87b58e87599a85dc79bf14731cc9ad547411e9b10c883e29f78fc2c67206a, geo: (53.518475,49.397178000000004), measurements: {'airtemp': -8.0, 'windang': 45.0, 'windspeed': 0.13, 'windspeedmax': 0.13, 'pm10': '', 'pm25': '', 'timestamp': 1645113602.0}}}]]
2022-02-17 19:30:51,443 - INFO - Sending result to the feeders...
2022-02-17 19:31:07,517 - INFO - Frontier Datalog: Data sent to Robonomics datalog and included in block 0x04baf3d81c6d31ec6f3ca3e515b9a6920666ee17cbd66f57130eaa000bad2cd4
2022-02-17 19:31:07,519 - INFO - RobonomicsFeeder: {"0be87b58e87599a85dc79bf14731cc9ad547411e9b10c883e29f78fc2c67206a": {"model": 2, "geo": "53.518475,49.397178000000004", "measurement": {"airtemp": -8.0, "windang": 45.0, "windspeed": 0.13, "windspeedmax": 0.13, "pm10": "", "pm25": "", "timestamp": 1645113602.0}}}
2022-02-17 19:31:07,523 - INFO - Checking data base...
127.0.0.1 - - [17/Feb/2022 19:31:13] "POST / HTTP/1.1" 200 -
2022-02-17 19:31:21,248 - INFO - Getting data from the stations...
2022-02-17 19:31:21,429 - INFO - airalab-http-v0.8.0: [[{MAC: c8e2650f254e, Uptime: 0:00:43.818101, M: {Public: 133b761496539ab5d1140e94f644e2ef92c7ac32446dc782bfe1a768379a669a, geo: (1,200), measurements: {'pm10': 27.58, 'pm25': 15.02, 'temperature': 22.93, 'pressure': 758.0687068706872, 'humidity': 39.44, 'timestamp': 1645115473}}}], [{MAC: c8e2650f254e, Uptime: 0:00:43.996539, M: {Public: 0be87b58e87599a85dc79bf14731cc9ad547411e9b10c883e29f78fc2c67206a, geo: (53.518475,49.397178000000004), measurements: {'airtemp': -8.0, 'windang': 45.0, 'windspeed': 0.13, 'windspeedmax': 0.13, 'pm10': '', 'pm25': '', 'timestamp': 1645113602.0}}}]]
2022-02-17 19:31:21,444 - INFO - Sending result to the feeders...
2022-02-17 19:31:51,249 - INFO - Getting data from the stations...

Development

Testing with HTTP Station:

poetry run test_mobile_lab
test_environmental_box

For more information about development see /docs.

Troubleshooting

Python.h: No such file or directory

If during running poetry install comand you get such error, you need to install the header files and static libraries for python dev. Use your package manager for installation. For example, for apt you need to run

sudo apt install python3-dev

Note: python3-dev does not cover all versions for python3. The service needs at least python3.8, for that you may need to specify the version sudo apt install python3.8-dev.

Here you can find examples for other package managers.

Python versions mismatch

If during running poetry install comand you get SolverProblemError, which says "The current project's Python requirement (3.6.9) is not compatible with some of the required packages Python requirement:..", even though you have older version of python (e.g. python3.8), you may need to specify the python version poetry is using:

poetry env use python3.8