joule 0.9.0

Decentralized data processing for IoT platforms

Joule is a data capture and signal processing engine. It allows you to build robust sensors using embedded systems such as the Raspberry Pi. Joule uses modules to build complex acquisition and signal processing workflows from simple building blocks. Modules are user defined processes that are connected together by data streams.

Joule acts as a process manager, ensuring that modules start at system boot and are restarted if they fail. Joule also collects runtime statistics and logs for each module making it easy to detect bugs and find bottlenecks in processing pipelines.

See http://wattsworth.net/joule for full documentation

Streams

Streams are timestamped data flows that connect modules together. Streams can represent primary measurements such as readings from a current sensor or derived measurements such as harmonic content. A stream has one or more elements and can be viewed as a database table:

========= ====== ====== === ======
timestamp value1 value2 ... valueN
========= ====== ====== === ======
1003421   0.0    10.5   ... 2.3
1003423   1.0    -8.0   ... 2.3
1003429   8.0    12.5   ... 2.3
1003485   4.0    83.5   ... 2.3
========= ====== ====== === ======

Modules

Modules process streams. A module may receive zero, one or more input streams and may produce zero, one, or more output streams. While Joule does not enforce any structure on modules, we suggest structuring your data pipeline with two types of modules: Readers, and Filters. Readers take no inputs. They directly manage a sensor (eg a TTY USB device) and generate an output data stream with sensor values. Filters take these streams as inputs and produce new outputs. Filters can be chained to produce complex behavior from simple, reusable building blocks.

Example

Using a light sensor and temperature sensor to detect occupancy in a room:

[Module]  a_stream

[ TempReader] --> temp_values  --,
[LightReader] --> light_values --+--> [OccupancyFilter] --> room_status

Features

• Fast, lightweight

• Highbandwidth signal processing

Installation

Joule requires Python 3.6 or later. Install Joule by running:

$> python3 setup.py install