A Python script that bridges sensors and actuators to MQTT and/or REST. It was written to support integrating remote sensors with openHAB, but it should support any remote hub that has a simple REST API or uses MQTT.
The script currently supports MQTT and openHAB 1.x's REST API for publishing sensor readings and actuator results. It supports MQTT for receiving commands to activate actuators.
The currently supported technologies are: Raspberry PI GPIO (both WebIOPi and Raspbian's native python library, though WebIOPi is deprecated so don't use it) sensors and actuators, Bluetooth presence detection sensors, Dash Button presses, Roku IP address discovery, executing command line programs, and a hearbeat publisher.
The main script is sensorReporter.py. this script parses the configuration ini file and implements the main polling loop and thread management. During startup this script reads the ini file and creates instances of the indicated classes and passes them the arguments for that class.
The script has been made generic and easily expanded through plugins. To add a new sensor or actuator simply put the new class file(s) in the same folder, fill out the ini file section and sensorReporter will handle the rest. There is no longer a need to edit sensorReporter.py to add new capability. The same is true for Connections.
NOTE: I have simple RFM69 gateway addon as well but cannot publish it here due to license conflicts, not sure if I can publish it at all, even in a separate repo, because GPL 3.0 forbids linking to non-GPL 3.0 code.
The core of the script does not have any dependencies. However each addon may have its own dependencies.
MQTT depends on the Paho library.
WebIOPi GPIO sensors depend on the WebIOPi library and it requires sensorReporter be run as root or a user who is a member of the GPIO group.
The Native Raspberry Pi GPIO library comes with Raspbian by default.
Bluetooth depends on bluez and python-bluez
Dash requires scapy and it requires sensorReporter be run as root
Roku does not require anything special be installed
Execute actuator requires subprocess32 if executed on a Posix system with Python 2.7
The install.sh in the config folder lists all the commands necessary to install dependencies, link the current folder to /opt and set it up to start as a service. It has the scripts and commands for both upstart and systemd.
The config folder contains an install.sh as described above, sensorReporter start script for upstart systems (e.g raspbian wheezy), and a service file for systemd type systems (e.g raspbian jessey, Ubuntu 15+). The install script shows the install steps to get the dependencies using using apt-get and pip and to copy and enable the start script to init.d so sensorReporter will start as a service during boot. You must edit the script to match your system. This script is intended to be informational, not to be executed as is.
The main folder has a default.ini with configuration parameters and the Python script itself. The default.ini has example configurations for all of the supported addons with some comments to describe the parameter's meanings.
The install.sh expects there to be a .ini file that matches your hostname. It will create a symbolic link to sensorReporter.ini. However, install.sh is intended to illustrate the install process and not to be run as is.
If you place or link the script somewhere other than /opt/sensorReporter you need to update the sensorReporter start script or sensorReporter.service with the correct path.
The configuration file contains one or more Sensor and/or Actuator sections which specify their Type, the MQTT/REST destination to report to, communciation type (MQTT or REST), and sensor/actuator specific info (e.g. pin, BT address, etc.).
The Logging section allows one to specify where the scripts log file is saved, its max size, and maximum number of old log files to save. When Syslog is enabled all logging goes to the system syslog.
The REST section is where one specifies the beggining portion of the URL for the REST API. For openHAB, this is the full REST URL to the Item without the Item name. The Item name is specified as the destination in the sensor/actuator sections.
The MQTT section is where one specifies the user, password, host, and port, for the MQTT Broker. The Topic item in this section is a topic the script listens to report the state of the sensors on command (i.e. any message sent to this topic will cause sensorReporter to publish the current state of all its configured sensors. One also defines a Last Will and Testament topic and message so other servers can monitor when sensorReporter goes offline.
Note that Actuators only support MQTT communicators.
To run the script manually:
sudo python sensorReporter sensorReporter.ini
If it has been installed, run:
sudo service sensorReporter start
or
sudo systemctl start sensorReporter
The script will poll the sensors once per configured poll period. If the state of the sensor has changed since the last poll the state is published on the configured MQTT/REST destination.
The GPIO sensor pins will report "OPEN" for active pins and "CLOSED" for inactive pins.
The Bluetooth scanner will report "ON" when the device is present and "OFF" when it is not.
Dash will report "Pressed" when it detects the button press.
The Roku scanner will publish the detected IP address for that Roku.
The exec actuator will publish the result printed by the executed script, or ERROR if the script didn't return a 0 exitcode.
The heartbeat sensor will publish the uptime in milliseconds to destination/number and the uptime in DD:HH:MM:SS to destination/string once per polling period.
Upon receipt of any message on the main incoming destination, the script will publish the current state of all configured polling sensors (sensors with a polling period > 0) on their respective destinations immediately.
The script is configured to respond properly to term signals (e.g. <ctrl>-c) so it behaves nicely when run as a service (currently broken when using Dash).
To discover the address of your Bluetooth device (e.g. a phone), put it in pairing mode, run inquiry.py and record the address next to the name of your device. Use this address in the .ini file for your Bluetooth scanning sensors.
inquiry.py is part of the pybluez project and can be found at https://code.google.com/p/pybluez/source/browse/examples/simple/inquiry.py
To discover the address of your Dash button, there is a getMac.py script in the config folder that will run for a short time and print the MAC address of any device that issues an ARP request while it is running. Run the script and then press the button and it will print that button's address. If you are in a noisy network with lots of ARP requests you may need to do trial and elimination to discover which MAC is for your button. Both of my buttons start with 74 but I don't know if that is a pattern that holds across all buttons.
Upon receiving your Dash button, follow the configuration steps up to the point where it asks you to choose a product. Close the setup app at this point and whenever you press the button the request will fail (i.e. you won't order anything) but it will be able to join your network and issue the ARP request we use to tell when it is pressed.
The code and approach to using Dash is inspired from the example found at https://medium.com/@edwardbenson/how-i-hacked-amazon-s-5-wifi-button-to-track-baby-data-794214b0bdd8#.kxt3lt5rh
Follow the default.ini example to map the MAC address to a destination. When sensorReporter detects the ARP packet from that button it will send the string "Pressed" to the corresponding destination. For example, if you have an Address1, it will send "Pressed" to Destination1.
Note that in openHAB 2 there is now a Dash binding which you should use instead.
The "Name" of the Roku is the device's serial number. This can be found printed on the label on the bottom of your Roku device or found in the "My linked devices" section on your roku.com account page.
Supported DHT sensors is DHT22, it can either run in Advanced Mode or Simple Mode.
In Simple mode it just reads data from the sensor, and verifies that it is between bounds and returns the reading.
In Advanced mode it reads the value and stores last five readings in an array. The returned value is the mean value of the readings in the array. This approach can be used if you encounter some readings that are wrong every now and then.
Be sure that Adafruits DHT Python library is installed, instructions can be found at
https://learn.adafruit.com/dht-humidity-sensing-on-raspberry-pi-with-gdocs-logging/software-install-updated