<![CDATA[Home Assistant]]> 2016-02-08T17:11:51+00:00 https://home-assistant.io/ Octopress <![CDATA[0.12: Insteon, LIFX, Twitter and ZigBee]]> 2016-01-30T08:22:00+00:00 https://home-assistant.io/blog/2016/01/30/insteon-lifx-twitter-and-zigbee Another sprint has come to an end and it seems that we have not slowed down a single bit 🚀. 0.12 is full of new components, platforms and organizational additions.

I would like to give a shout out to Greg Dowling (@pavoni) as every release includes new work from him. He is constantly adding support for new platforms or improving the reliablity of existing components and platforms. Keep up the good work!

This release includes a very frequent requested feature: the ability to organize entities in different tabs in the frontend. See the demo to see this in action and read more in the group documentation how to get started.

Example of the new views in the frontend. Learn more.

Backwards incompatible changes

  • Nest config has moved from thermostat to the Nest component.
  • Entity IDs for Z-Wave devices are now generated in a deterministic way causing all IDs to change starting this release. This is a one time change.
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<![CDATA[Perfect Home Automation]]> 2016-01-19T08:20:00+00:00 https://home-assistant.io/blog/2016/01/19/perfect-home-automation People often ask me about my vision for Home Assistant. Before I can describe where I want to go with Home Assistant, I should first talk about how home automation would look in my ideal world. This will be the aim of this post. I’m not going to focus on protocols, networks or specific hubs. That’s all implementation details. Instead, this post will focus on what is most important: the interaction between the users and their home.

You should not have to adapt to technology.

When people start using home automation, they always experience home control first: being able to control devices in new ways using a phone or computer. They believe the future is now and their app will be their remote for their lives. They only focus on what they are getting, not on what they are losing. You install some light bulbs and all of a sudden you are no longer able to use the light switches. You’ll arrive at home at night and have to pull out your phone, open the app, let it connect and finally you’ll be able to turn on the light. All while turning the light on could have been a switch away.

Yes, you can solve this with presence detection. What if your phone runs out of battery? You’ll have to resort to the switch again.

If you find that using your new home devices is cumbersome, the promise of home automation technology has failed you. Your lights should work with both a switch (or button) at the entrance of your room and via presence detection. Honestly, there are hardly any valid use cases for being able to control lights from your phone except for showing off.

You are not the only user of your home automation.

People tend to forget that they are not the only ones in their home. As the developer of your house you’re enthusiastic about the possibilities and are willing to overlook flaws. Chances are very high that the other people in your household have different hobbies and just want to mind their own business.

This means that everything you automate has to work flawlessly. If you successfully manage to cause a response to some stimulus 90% of the time, you’re going to have a disproportionately poor experience 10% of the time. A common automation that fits this pattern is to fade the lights when you start watching a movie or series in the living room. It only works if everyone is watching.

Limit the impact of false positives and negatives.

With every automation, you always have to think: what will be the impact if it doesn’t work? Home automation is composed of many different systems by many different vendors that speak many different protocols: things will go wrong. It’s up to you to make sure that they have a limited impact when they fail. Ideally, devices should fall back to a pre-smart home experience. A Philips Hue bulb will act like a standard white light if turned on/off using a normal switch or when not connected to a hub. If things get worse when your system is out of order, your users will revolt. Take for example the Nest thermostat that had a bug in the beginning of January which caused it to stop heating the house, yikes!

The perfect app is no app.

Home automation should blend with your current workflow, not replace it. For most devices, there is no faster way to control most devices than how you are already doing it today. Most of the time, the best app is no app. The only interface that can be more convenient, and is accessible for visitors of your home of all ages is a voice interface. The industry has realized this too and there are some major players focussing on voice interaction. Take Apple for example: the only way to control your HomeKit devices is with Siri. Amazon has taken it one step further with the Amazon Echo, providing an always-listening connected speaker/microphone for the living room. I expect a lot more companies to join this segment in 2016.

Voice interfaces are not perfect either. The speed at which you can issue commands is low because you have to wait for a response. There are also issues with the discoverability of commands, recognition of accents and dependency on the cloud for processing your voice. I believe that all but the first one are problems that are going to be solved eventually.

This however doesn’t mean there isn’t a place for apps, there definitely is. They are perfectly well-suited for checking in while you’re away, browsing the state changes of your house or making the lights go all funky when there are kids visiting.

Your system should run at home, not in the cloud.

The cloud is a magical thing. Somewhere in the world there are computers collecting the data that your house generates, testing them against your automation rules and sending commands back when needed. The cloud will receive updates and improve itself over time so it is able to serve you better. Until it’s not. There are many reasons why your home might lose its connection to the cloud. The internet can stop working, an update might have gone wrong or the servers running the cloud crash.

When this happens, your house should be able to keep functioning. The cloud should be treated as an extension to your smart home instead of running it. That way you’ll avoid awkward situations like when Amazon AWS was down and the Amazon Echo stopped working.

Good home automation never annoys but is missed when it is not working.

Thanks to Chris LaRose for this feedback and comments.

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<![CDATA[0.11: Extended support for DIY solutions]]> 2016-01-17T23:20:00+00:00 https://home-assistant.io/blog/2016/01/17/extended-support-for-diy-solutions First release of 2016 and we are on đŸ”„! The main repository has passed 2500 ⭐ on GitHub (2596 ⭐ as of now). This release also has a record number of 20 contributors all working on improving and extending Home Assistant. With the continued growth, I am very excited to see what 2016 will bring us đŸ€˜.

Backwards incompatible changes

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<![CDATA[0.10: Amazon Echo, iCloud, Dweet.io, Twitch and templating support!]]> 2015-12-22T09:30:00+00:00 https://home-assistant.io/blog/2015/12/22/amazon-echo-icloud-and-templates Alrighty, it’s time for Home Assistant 0.10. A lot amazing things have changed and sadly we also had to introduce a bunch of backwards incompatible changes. I would like to give a big shoutout to Philip Lundrigan (@philipbl) who put a lot in effort in helping the migration to move towards using templates for a wide variety of platforms.

Templates

This release introduces templates. This will allow you to parse data before it gets processed or create messages for notifications on the fly based on data within Home Assistant. The notification component and the new Alexa/Amazon Echo component are both using the new template functionality to render responses. A template editor has been added to the developer tool section in the app so you can get instant feedback if your templates are working or not.

The temperature at home is {{ states('sensor.temperature') }}.

More information and examples can be found in the template documentation.

Breaking changes

Templates will now be the only way to extract data from ‘raw’ sources like REST, CommandSensor or MQTT. This will replace any specific option that used to do this before. This means that precision, factor, attribute or json_path etc will no longer work.

Affected components and platforms:

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<![CDATA[Set up encryption using Let's Encrypt]]> 2015-12-13T18:05:00+00:00 https://home-assistant.io/blog/2015/12/13/setup-encryption-using-lets-encrypt Exposing your Home Assistant instance outside of your network always has been tricky. You have to set up port forwarding on your router and most likely add a dynamic DNS service to work around your ISP changing your IP. After this you would be able to use Home Assistant from anywhere but there is one big red flag: no encryption.

This tutorial will take you through the steps to setup a dynamic DNS for your IP and allow trusted encrypted connection to it - for free using DuckDNS and Let’s Encrypt.

Requirements

The DuckDNS part of this tutorial has no requirements but there are a few requirements as of now to run the Let’s Encrypt client.

  • Direct connection to the internet or admin access to your router to set up port forwarding
  • A machine running a Unix-ish OS that include Python 2.6 or 2.7 (Docker can be used)

DuckDNS

The first step is to set up DuckDNS. This is a free dynamic DNS service that you can use to get a DuckDNS.org subdomain to point at your house. A dynamic DNS service works by having your home computer tell DuckDNS.org every 5 minutes what its IP is so that DuckDNS can make sure your domain name is set up correctly.

For this example we will assume our domain is hass-example.duckdns.org.

First step is to acquire and set up our domain name. For this, go to DuckDNS, log in with any of the supported login providers and add a domain. After this check out their installation instructions to finish your installation of DuckDNS. If you’re on a Raspberry Pi, see ‘Pi’ in the category ‘Operating Systems’.

Let’s Encrypt

Let’s Encrypt is a free, automated, and open certificate authority (CA). We will use this to acquire a certificate that can be used to encrypted our connection with Home Assistant.

Let’s Encrypt will give you a free 90-day certificate if you pass their domain validation challenge. Domains are validated by having certain data be accessible on your domain for Let’s Encrypt (they describe it better themselves).

Assuming that your home is behind a router, the first thing to do is to set up port forwarding from your router to your computer that will run Let’s Encrypt. For the Let’s Encrypt set up we need to temporary forward ports 80 (http connections) and 443 (https connections). This can be set up by accessing your router admin interface (Site with port forwarding instructions per router).

Now you’re ready to run Let’s Encrypt:

$ git clone https://github.com/letsencrypt/letsencrypt
[
]
$ cd letsencrypt
$ ./letsencrypt-auto certonly --email $ ./letsencrypt-auto certonly --email your@email.address -d hass-example.duckdns.org

Updating letsencrypt and virtual environment dependencies.......
Running with virtualenv: sudo /path/letsencrypt/bin/letsencrypt certonly --email your@e-mail.address -d hass-example.duckdns.org

IMPORTANT NOTES:
 - Congratulations! Your certificate and chain have been saved at
   /etc/letsencrypt/live/hass-example.duckdns.org/fullchain.pem. Your cert
   will expire on 2016-03-12. To obtain a new version of the
   certificate in the future, simply run Let's Encrypt again.
 - If like Let's Encrypt, please consider supporting our work by:

   Donating to ISRG / Let's Encrypt:   https://letsencrypt.org/donate
   Donating to EFF:                    https://eff.org/donate-le

If you’re using Docker, run the following command to generate the required keys:

sudo mkdir /etc/letsencrypt /var/lib/letsencrypt
sudo docker run -it --rm -p 443:443 -p 80:80 --name letsencrypt \
                -v "/etc/letsencrypt:/etc/letsencrypt" \
                -v "/var/lib/letsencrypt:/var/lib/letsencrypt" \
                quay.io/letsencrypt/letsencrypt:latest certonly \
                --email your@e-mail.address -d hass-example.duckdns.org

With either method your certificate will be generated and put in the directory /etc/letsencrypt/live/hass-example.duckdns.org. As the lifetime is only 90 days, you will have to repeat this every 90 days.

Home Assistant

Before updating the Home Assistant configuration, we have to update the port forwarding at your router config. We can drop the port forwarding for port 80 as we no longer care about unecrypted messages. Update port 443 to forward to port 8123 on the computer that will run Home Assistant.

The final step is to point Home Assistant at the generated certificates. Before you do this, make sure that the user running Home Assistant has read access to the folder that holds the certificates.

http:
  api_password: YOUR_SECRET_PASSWORD
  ssl_certificate: /etc/letsencrypt/live/hass.example.com/fullchain.pem
  ssl_key: /etc/letsencrypt/live/hass.example.com/privkey.pem

You can now navigate to https://hass-example.duckdns.org and enjoy encryption!

Big thanks to Fabian Affolter for his help and feedback on this article.

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<![CDATA[[Update: decision reversed!] Philips Hue blocks 3rd party lights]]> 2015-12-12T18:44:00+00:00 https://home-assistant.io/blog/2015/12/12/philips-hue-blocks-3rd-party-bulbs Update Dec 16: Great news! Philips has decided to reverse their decision and is working on a software update to allow 3rd party light bulbs again.

Philips Hue FAQ entries regarding reversing the decision.

Original post:

Philips Hue was one of the first to get smart lights accepted by the mainstream. Their Zigbee-based hub is rock solid, never crashes, great API and worked with other Zigbee light bulbs too. They are a bit expensive but the platform was worth every penny, till now.

Yesterday a thread on /r/homeautomation published that Philips Hue now blocks all but their own bulbs and those of “friends of Hue”. I have been able to confirm this in the Philips Hue FAQ (Update Dec 14: they have removed the entries - mirror here):

Philips Hue FAQ entries regarding 3rd party light bulbs.

This means that after you update your Hue bridge to the latest version:

  • As of now, you can still use your existing paired 3rd party light bulbs
  • You cannot pair new 3rd party light bulbs
  • You’re out of luck if for some reason you have to pair existing 3rd party light bulbs again
  • Resetting your hub will force pairing of all your bulbs again

If you own a Philips Hue hub and are using 3rd party light bulbs, make sure you do not upgrade your hub if you want to be able to pair new 3rd party lightbulbs. But do realize that you are sitting on a ticking time bomb.

I have read, but have been unable to confirm it, that resetting your hub will force a software upgrade. So beware of that too.

I will no longer suggest people to buy into the Philips Hue ecosystem.

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<![CDATA[Activating Tasker tasks from Home Assistant using command line switches]]> 2015-12-10T10:39:41+00:00 https://home-assistant.io/blog/2015/12/10/activating-tasker-tasks-from-home-assistant-using-command-line-switches
In this tutorial I will explain how you can activate Tasker tasks from Home Assistant command line switches. We are going to set up a switch that when toggled will make your Android device say either “On” or “Off”.

You could also do this with the automation component instead so whenever you put your house to sleep mode for example your Android device will open up Google Play Books or the Kindle app ready for you to read as well as dimming your lights, but this tutorial is all about the switches.

AutoRemote URL

First things first you should install Tasker and AutoRemote onto your Android device and launch AutoRemote. You should see a URL above the QR code, visit it in your browser and it should bring up a page a bit like this.

Now type in SayOn in the Message box and you should see a box appear on the right with a URL in it, this is what we will be using in the Python script later on so save that for later. Do the same thing again but this time replace SayOn with SayOff. Now just click the Send message now! button to test that your commands will get sent to your Android device, if they do you will see a toast message at the bottom of your screen like this one.

Tasker Setup

Open up Tasker and make sure you’re in the PROFILES tab, then select the plus icon to create a new profile. Select Event -> Plugin -> AutoRemote -> AutoRemote and then the pencil icon to configure the AutoRemote event. Select Message Filter and enter in SayOn then go back until it asks you for a task. Select New task then just leave the next field blank and select the tick icon.
This is where we’ll configure our task, so select the plus icon to select an action. Select Alert -> Say to add a Say action. Enter On in the text field and go back to test your task, make sure your media volume is up then select the play icon, you should hear your device say “On”.

Now you can go back to the main Tasker screen and create another profile but this time replace SayOn with SayOff and On with Off. After you’ve done that go to the main screen again and select the menu button at the top then Exit and Save first to make sure everything is saved properly.

Python Script

Now it’s time to set it up the script, so create a new Python script and name it On.py then enter this code:

import requests
requests.get('[URL]')

Enter in your “On” URL then save it. Create another script but this time call it Off.py and enter your “off” URL instead.

Home Assistant Configuration

Add a command line switch to your Home Assistant configuration:

switch:
  platform: command_switch
  switches:
    tasker_say:
      oncmd: python "[LocationOfOnScript]"
      offcmd: python "[LocationOfOffScript]"

Now load up Home Assistant and whenever you toggle the switch you created your Android device will respond with either “On” or “Off”. :-)

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<![CDATA[InfluxDB and Grafana]]> 2015-12-07T14:15:13+00:00 https://home-assistant.io/blog/2015/12/07/influxdb-and-grafana
The InfluxDB database is a so-called time series database primarly designed to store sensor data and real-time analytics.

The influxdb component makes it possible to transfer all state changes from Home Assistant to an external InfluxDB database.

The first step is to install the InfluxDB packages. If you are not running Fedora, check the installation section for further details.

$ sudo dnf -y install http://influxdb.s3.amazonaws.com/influxdb-0.9.5.1-1.x86_64.rpm

Launch the InfluxDB service.

$ sudo systemctl start influxdb

If everything went well, then the web interface of the database should be accessible at http://localhost:8083/. Create a database home_assistant to use with Home Assistant either with the web interface or the commandline tool influx.

InfluxDB web frontend

$ influx
Visit https://enterprise.influxdata.com to register for updates, InfluxDB server management, and monitoring.
Connected to http://localhost:8086 version 0.9.5.1
InfluxDB shell 0.9.5.1
> CREATE DATABASE home_assistant

An optional step is to create a user. Keep in mind to adjust the configuration (add username and password) in the next step if you prefer to go this way.

> CREATE USER "home-assistant" WITH PASSWORD 'password'

To use the influxdb component in your installation, add the following to your configuration.yaml file:

influxdb:
  host: 127.0.0.1

After you restart Home Assistant you should see that the InfluxDB database gets filled. The language to query the database is similar to SQL.

$ influx
[...]
> USE home_assistant
Using database home_assistant
> SELECT * FROM binary_sensor
name: binary_sensor
-------------------
time            domain        entity_id    value
1449496577000000000    binary_sensor    bathroom_door    0
1449496577000000000    binary_sensor    bathroom_window    0
1449496577000000000    binary_sensor    basement_door    0
1449496577000000000    binary_sensor    basement_window    0
1449496684000000000    binary_sensor    bathroom_window    1
[...]

Grafana is a dashboard that can create graphs from different sources including InfluxDB. The installation is simple, and there are detailed steps for many different configurations on the Grafana installation page. For a recent system that is running Fedora:

$ sudo dnf -y install https://grafanarel.s3.amazonaws.com/builds/grafana-2.5.0-1.x86_64.rpm

Start the grafana server.

$ sudo systemctl daemon-reload
$ sudo systemctl start grafana-server
$ sudo systemctl status grafana-server

Login with the username admin and the password admin at http://localhost:3000/login. Now follow the InfluxDB setup instructions.

Now you can start to create dashboards and graphs. You have various options to get the data from the graph. The next image just shows a screenshot of the setting for a temperature sensor.

Grafana settings

If the graph is not showing up in the dashboard you need to adjust the time range in the right upper corner. The graph is created for all state changes recorded by Home Assistant.

Grafana Temperature graph

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<![CDATA[0.9: Rollershutters, locks, binary sensors and InfluxDB]]> 2015-12-06T19:29:00+00:00 https://home-assistant.io/blog/2015/12/06/locks-rollershutters-binary-sensors-and-influxdb-support It’s been a few weeks but we managed to polish a nice new release of Home Assistant for y’all!

To update, run pip3 install --upgrade homeassistant.

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<![CDATA[Community Highlights]]> 2015-12-05T23:39:00+00:00 https://home-assistant.io/blog/2015/12/05/community-highlights From time to time we come along things that are worth sharing with fellow Home Assisters. Here a list of some cool stuff from last week:

First is the public beta of Let’s Encrypt. Let’s Encrypt is a new certificate authority that is free, automated and open. This means that it will now be very easy to secure your connection to Home Assistant while you are away from home. W1ll1am23 has written up a guide how to get started.

The next thing is a show-off of some of the cool stuff people do with Home Assistant. This is miniconfig talking to Home Assistant using the Amazon Echo!

And last but not least, Midwestern Mac did a microSD card performance comparison for the Raspberry Pi. If you’re using a Pi, make sure to check it out!

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<![CDATA[Survey November 2015]]> 2015-11-22T14:51:18+00:00 https://home-assistant.io/blog/2015/11/22/survey-november-2015 Around a week ago we started with the first survey. Now 30 people have participated. Thank you very much if you did. We think that’s enough time to have some “only partially representative” data. It’s hard to tell how many Home Assistant users are out there. Currently there are 215 members in our Gitter chat room and last week PyPI counted 5063 downloads.

The idea was to anonymously collect some details about the usage of the different parts of Home Assistant and a little bit about the environment its running in.

Thanks to Python, users are running Home Assistant on the most popular Linux distributions and other operating systems including OS X and Microsoft Windows. One quarter of the operating systems are unknown which leads to the assumption that it is possible to run Home Assistant on most of the available operation systems today. We hope that *BSD users have fun too. The Hardware platform of choice seems to be x86_64 and ARM.

Of course most users are running with the automation component otherwise it would make much sense to use Home Assistant. The sun component is used a lot too. We hope that this is not because this component is enabled by default.

The Alarm control panels and the camera component are both used by around one third of the participants of the survey. It’s safe to say that they cover a niche, but they will gain momentum when people discover how they can build alarm systems with Home Assistant.

Philips Hue is the “winner” in the light category closely followed by MQTT lights. Google Cast and Plex are the top media player platforms. Pushbullet is by far the most-used notification platform. If you followed the recent efforts to improve this platform it’s comprehensible.

It’s interesting to see that most of the sensor, switch, and thermostat platforms are used. A lot of people seem to be interested in the weather data provided by the Forecast sensor. The MQTT sensors and switches are deployed in almost 50% of all Home Assistant setups.

Home Assistant releases

Operating systems

Hardware platforms

Components

Alarm Control Panels and Cameras

Device trackers

Lights

Media players

Notifications

Sensors

Switches

Thermostats

The conclusion is that MQTT is popular in almost every section from Alarm Control Panel, presence detection with owntracks, sensors and switches, and now even for lights.

The interpretation of the data is up to you. Again, thanks for participating in this survey.

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<![CDATA[0.8: Honeywell Thermostats, Orvibo switches and Z-Wave switches and lights ]]> 2015-11-16T21:27:00+00:00 https://home-assistant.io/blog/2015/11/16/zwave-switches-lights-and-honeywell-thermostats-now-supported We have all been hard at work to get this latest release ready. One of the big highlights in this release is the introduction of an extended iconset to be used in the frontend (credits to @happyleavesaoc for idea and prototype). To get started with customizing, pick any icon from MaterialDesignIcons.com, prefix the name with mdi: and stick it into your customize section in configuration.yaml:

homeassistant:
  customize:
    switch.ac:
      icon: 'mdi:air-conditioner'

Breaking changes

  • Any existing zone icon will have to be replaced with one from MaterialDesignIcons.com.
  • LimitlessLED light services require colors to be specified in RGB instead of XY.

Changes

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<![CDATA[0.7.6: Amazon FireTV, Radiotherm thermostats]]> 2015-10-26T18:10:00+00:00 https://home-assistant.io/blog/2015/10/26/firetv-and-radiotherm-now-supported After two weeks of hard work I’m proud to announce the release of Home Assistant v0.7.6. For this release the main focus was bugs, test coverage and documentation. And we exceeded expectations on all three fronts. Bugs have been squashed, test coverage increased to 85% and thanks to the hard work by @fabaff and myself the component section on the website has gotten a complete revamp.

Changes

Breaking changes

As part of this release we did some cleanup which introduced backwards incompatible changes:

Heat Control thermostat no longer includes scheduling features.
This feature has been removed completely. Use the automation component instead to control target temperature.

Config changed for calling a service from a script.
execute_service: has been replaced with service:. See component page for example. The old method will continue working for some time.

Scenes can no longer be turned off.
It is no longer possible to turn a scene off after it has been activated. The way it worked was unpredictable and causes a lot of confusion.

Downloader treats relative paths now relative to the config dir instead of the current working dir.
This makes more sense as most people run Home Assistant as a daemon

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<![CDATA[Report the temperature with ESP8266 to MQTT]]> 2015-10-11T19:10:00+00:00 https://home-assistant.io/blog/2015/10/11/measure-temperature-with-esp8266-and-report-to-mqtt I recently learned about the ESP8266, a $5 chip that includes WiFi and is Arduino compatible. This means that all your DIY projects can now be done for a fraction of the price.

For this tutorial, I’ll walk through how to get going with ESP8266, get the temperature and humidity and report it to MQTT where Home Asssistant can pick it up.

Picture of the final setup (+ 2 LED for decoration)

Home Assistant will keep track of historical values and allow you to integrate it into automation.

Components

I’ve been using Adafruit for my shopping:

Besides this, you will need the usual hardware prototype equipment: a breadboard, some wires, soldering iron + wire, Serial USB cable.

Connections

On your breadboard, make the following connections from your ESP8266 to the HDC1008:

ESP8266 HDC1008
GND GND
3V Vin
14 SCL
#2 SDA

I picked #2 and 14 myself, you can configure them in the sketch.

Preparing your IDE

Follow these instructions on how to install and prepare the Arduino IDE for ESP8266 development.

After you’re done installing, open the Arduino IDE, in the menu click on sketch -> include library -> manage libraries and install the following libraries:

  • PubSubClient by Nick ‘O Leary
  • Adafruit HDC1000

Sketch

If you have followed the previous steps, you’re all set.

  • Open Arduino IDE and create a new sketch (File -> New)
  • Copy and paste the below sketch to the Arduino IDE
  • Adjust the values line 6 - 14 to match your setup
  • Optional: If you want to connect to an MQTT server without a username or password, adjust line 63.
  • To have the ESP8266 accept our new sketch, we have to put it in upload mode. On the ESP8266 device keep the GPIO0 button pressed while pressing the reset button. The red led will glow half bright to indicate it is in upload mode.
  • Press the upload button in Arduino IDE
  • Open the serial monitor (Tools -> Serial Monitor) to see the output from your device

This sketch will connect to your WiFi network and MQTT broker. It will read the temperature and humidity from the sensor every second. It will report it to the MQTT server if the difference is > 1 since last reported value. Reports to the MQTT broker are sent with retain set to True. This means that anyone connecting to the MQTT topic will automatically be notified of the last reported value.

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#include <ESP8266WiFi.h>
#include <Wire.h>
#include <PubSubClient.h>
#include <Adafruit_HDC1000.h>

#define wifi_ssid "YOUR WIFI SSID"
#define wifi_password "WIFI PASSWORD"

#define mqtt_server "YOUR_MQTT_SERVER_HOST"
#define mqtt_user "your_username"
#define mqtt_password "your_password"

#define humidity_topic "sensor/humidity"
#define temperature_topic "sensor/temperature"

WiFiClient espClient;
PubSubClient client(espClient);
Adafruit_HDC1000 hdc = Adafruit_HDC1000();

void setup() {
  Serial.begin(115200);
  setup_wifi();
  client.setServer(mqtt_server, 1883);

  // Set SDA and SDL ports
  Wire.begin(2, 14);

  // Start sensor
  if (!hdc.begin()) {
    Serial.println("Couldn't find sensor!");
    while (1);
  }}

void setup_wifi() {
  delay(10);
  // We start by connecting to a WiFi network
  Serial.println();
  Serial.print("Connecting to ");
  Serial.println(wifi_ssid);

  WiFi.begin(wifi_ssid, wifi_password);

  while (WiFi.status() != WL_CONNECTED) {
    delay(500);
    Serial.print(".");
  }

  Serial.println("");
  Serial.println("WiFi connected");
  Serial.println("IP address: ");
  Serial.println(WiFi.localIP());
}

void reconnect() {
  // Loop until we're reconnected
  while (!client.connected()) {
    Serial.print("Attempting MQTT connection...");
    // Attempt to connect
    // If you do not want to use a username and password, change next line to
    // if (client.connect("ESP8266Client")) {
    if (client.connect("ESP8266Client", mqtt_user, mqtt_password)) {
      Serial.println("connected");
    } else {
      Serial.print("failed, rc=");
      Serial.print(client.state());
      Serial.println(" try again in 5 seconds");
      // Wait 5 seconds before retrying
      delay(5000);
    }
  }
}

bool checkBound(float newValue, float prevValue, float maxDiff) {
  return newValue < prevValue - maxDiff || newValue > prevValue + maxDiff;
}

long lastMsg = 0;
float temp = 0.0;
float hum = 0.0;
float diff = 1.0;

void loop() {
  if (!client.connected()) {
    reconnect();
  }
  client.loop();

  long now = millis();
  if (now - lastMsg > 1000) {
    lastMsg = now;

    float newTemp = hdc.readTemperature();
    float newHum = hdc.readHumidity();

    if (checkBound(newTemp, temp, diff)) {
      temp = newTemp;
      Serial.print("New temperature:");
      Serial.println(String(temp).c_str());
      client.publish(temperature_topic, String(temp).c_str(), true);
    }

    if (checkBound(newHum, hum, diff)) {
      hum = newHum;
      Serial.print("New humidity:");
      Serial.println(String(hum).c_str());
      client.publish(humidity_topic, String(hum).c_str(), true);
    }
  }
}

Configuring Home Assistant

The last step is to integrate the sensor values into Home Assistant. This can be done by setting up Home Assistant to connect to the MQTT broker and subscribe to the sensor topics.

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mqtt:
  broker: YOUR_MQTT_SERVER_HOST
  username: your_username
  password: your_password

sensor:
  platform: mqtt
  name: "Temperature"
  state_topic: "sensor/temperature"
  qos: 0
  unit_of_measurement: "ÂșC"

sensor 2:
  platform: mqtt
  name: "Humidity"
  state_topic: "sensor/humidity"
  qos: 0
  unit_of_measurement: "%"
]]>
<![CDATA[0.7.5: Blinkstick, SNMP, Telegram]]> 2015-10-11T17:10:00+00:00 https://home-assistant.io/blog/2015/10/11/rfxtrx-blinkstick-and-snmp-support We discovered two issues annoying enough to warrent the release of 0.7.5:

  • Home Assistant package did not include the CloudMQTT certificate.
  • A bug in the core caused issues when some platforms are loaded twice.

This release also includes some new platforms (because they keep coming!):

Also, the media player was extended by @maddox to support the play media command. This has been implemented for the iTunes platform.

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<![CDATA[Home Assistant goes geo with OwnTracks]]> 2015-10-05T21:49:00+00:00 https://home-assistant.io/blog/2015/10/05/home-assistant-goes-geo-with-owntracks A few weeks have past and it is time again for another release: version 0.7.4. This time we’re very glad to be able to introduce brand new integration with OwnTracks to allow tracking of people on a map. The geo support consists of three different parts:

We have added a new getting started section to get up and running.

Map in Home Assistant showing two people and three zones (home, school, work)

Ofcourse more things happened in the last three weeks. I’m moving away from my usual long post to a short summary of highlights:

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<![CDATA[Alarms, Sonos and iTunes now supported]]> 2015-09-19T21:47:00+00:00 https://home-assistant.io/blog/2015/09/19/alarm-sonos-and-itunes-support It’s like someone opened a can of rock solid developers and emptied it above our chat channel because it exploded with great conversations and solid contributions. Featured in release 0.7.3: Sonos, iTunes, Alarm component and Automation upgrade.

See GitHub for more detailed release notes.

Migration note: the scheduler component has been removed in favor of the automation component.

Sonos
Sonos support has been added by @rhooper and @SEJeff. Home Assistant is now able to automatically detect Sonos devices in your network and set them up for you. It will allow you to control music playing on your Sonos and change the volume.

iTunes and airplay speakers
@maddox has contributed support for controlling iTunes and airplay speakers. For this to work you will have to run itunes-api on your Mac as middleware.

# Example configuration.yaml entry
media_player:
  platform: itunes
  name: iTunes
  host: http://192.168.1.50
  port: 8181

Automation
Automation has gotten a lot of love. It now supports conditions, multiple triggers and new types of triggers. The best to get started with it is to head over to the new getting started with automation page.

# Example of entry in configuration.yaml
automation:
  alias: Light on in the evening
  trigger:
    - platform: sun
      event: sunset
      offset: "-01:00:00"
    - platform: state
      entity_id: group.all_devices
      state: home
  condition:
    - platform: state
      entity_id: group.all_devices
      state: home
    - platform: time
      after: "16:00:00"
      before: "23:00:00"
  action:
    service: homeassistant.turn_on
    entity_id: group.living_room

Verisure Alarms
We now support arming and disarming your verisure alarm from within Home Assistant thanks to added support by @persandstrom.

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<![CDATA[Remote Monitoring with Glances]]> 2015-09-18T09:00:00+00:00 https://home-assistant.io/blog/2015/09/18/monitoring-with-glances-and-home-assistant
Inspried by a feature requests I started looking into the available options to do monitoring of remote hosts. The feature request is about displaying system information in a similar way than the systemmonitor sensor does it for the local system. After a while I started to think that it would be a nice addition for a small home network where no full-blown system monitoring setup is present.

The basic problem is to get the data from the remote host. Starting with psutil that is used by the systemmonitor sensor, a possible solution is only a click away and named Glances. Glances has a nice curses-based interface and a RESTful API.

The Glances sensor sensor uses that API to get all needed data.

In this post a default Fedora 22 Workstation installation is used on the host that should be monitored. In fact, it doesn’t matter if the system is the local one or a remote one as long as Glances is available. With some adjustments it should work on your own systems too. The difference will be the package and the firewall management tools.

First some extra packages are needed beside Glances, especially the bottle webserver. I guess that Glances is available for your distribution as well. Otherwise follow those instructions.

$ sudo dnf -y install glances python-bottle

On Fedora the Firewall settings are strict. Let’s open port 61208 to allow other hosts to connect to that port. This is not needed if you just want to observe your local machine.

$ sudo firewall-cmd --permanent --add-port=61208/tcp
$ sudo firewall-cmd --reload

Launch glances and keep an eye on the output.

$ glances -w
Glances web server started on http://0.0.0.0:61208/

Now browse to http://IP_ADRRESS:61208/. You should see the webified view of Glances.

Glances web interface

Another check is to access the API located at http://IP_ADRRESS:61208/api/2/mem/used and to confirm that a detail about your memory usage is provided as a JSON response. If so, you are good to proceed.

$ curl -X GET http://IP_ADDRESS:61208/api/2/mem/used
{"used": 203943936}

Add the glances sensor entry to your configuration.yaml file and restart Home Assistant then.

# Example configuration.yaml entry
  - platform: glances
    name: NAS
    host: IP_ADDRESS
    resources:
      - 'disk_use_percent'
      - 'disk_use'
      - 'disk_free'

If there are no error in the log file then you should see your new sensors.

The Glances sensors

Glances has a couple of optional dependencies which are extenting the range of provided information. This means that it would be possible to get details about the RAID system, HDD temperature, IP addresses, sensors, etc., please create a Pull request with your additions or a Feature request if you want see more details in your Home Assistant frontend.

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<![CDATA[Home Assistant meets IFTTT]]> 2015-09-13T16:28:00+00:00 https://home-assistant.io/blog/2015/09/13/home-assistant-meets-ifttt Today we announce the release of Home Assistant v0.7.2 which includes brand new support by @sfam to integrate with IFTTT. IFTTT stands for If This, Then That and is a webservice that integrates with almost every possible webservice out there. Adding Home Assistant to this mix means Home Assistant can connect with all via IFTTT.

It is now possible to disable your irregation system if it is going to be cloudy tomorrow or tweet if your smoke alarm goes off.

Head over to the setup instructions to get started with IFTTT. Click the read more button for some example recipes.

In each of the following examples, make sure to replace the XXX in the url with your correct host address and api password.

Turn off irregation system when not needed

Maker channel setup:

Field Value
URL http://xxx.xxx.xxx.xxx:8123/api/services/switch/turn_off?api_password=xxxxxxxx
METHOD POST
CONTENT TYPE application/json
BODY { “entity_id”: “switch.irrigation” }

Tweet when important events happen

This will tweet a message when an MQTT message is received that the smoke alarm has been triggered. Setup Maker channel with event name HA_FIRE_ALARM and Twitter channel to tweet the message in value1.

# Configuration.yaml entry
automation:
- alias: Post a tweet when fire alarm is triggered
  trigger:
    platform: mqtt
    mqtt_topic: home/alarm/fire
    mqtt_payload: 'on'

  action:
    service: ifttt.trigger
    data: {"event":"HA_FIRE_ALARM", "value1":"The fire alarm just triggered!"}

Turn on lights when I get home

Maker channel setup:

Field Value
URL http://xxx.xxx.xxx.xxx:8123/api/services/light/turn_on?api_password=xxxxxxxx
METHOD POST
CONTENT TYPE application/json
BODY { “entity_id”: “light.kitchen” }

Flash lights when a new PR comes in for Home Assistant

Maker channel setup:

Field Value
URL http://xxx.xxx.xxx.xxx:8123/api/services/light/turn_on?api_password=xxxxxxxx
METHOD POST
CONTENT TYPE application/json
BODY { “entity_id”: “group.all_lights”, “flash”:”yes” }

Fire events when pressing the DO button

Maker channel setup:

Field Value
URL http://xxx.xxx.xxx.xxx:8123/api/events/do_button_pressed?api_password=xxxxxxxx
METHOD POST
CONTENT TYPE application/json
]]>
<![CDATA[Using MQTT with Home Assistant]]> 2015-09-11T09:19:38+00:00 https://home-assistant.io/blog/2015/09/11/different-ways-to-use-mqtt-with-home-assistant MQTT support was added to Home Assistant recently. The MQTT component will enable you to do all sort of things. Most likely you will use it to communicate with your devices. But Home Assistant doesn’t care where the data is coming from or is limited to real hardware as long as there is MQTT support. This means that it doesn’t matter if the data is coming from a human, a web service, or a device.

A great example is shown in a Laundry Automation post in this blog.

This post will give you a small overview of some other possibilities on how to use MQTT with Home Assistant.

Manual usage

The simplest but not the coolest way as a human to interact with a Home Assistant sensor is launching a command manually. Let’s create a “Mood” sensor. For simplicity Home Assistant and the MQTT broker are both running on the same host. The needed configuration snipplets to add to the configuration.yaml file consists of two parts: one for the broker and one for the sensor.

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mqtt:
  broker: 127.0.0.1

sensor:
  - platform: mqtt
    name: "Fabian's Mood"
    state_topic: "home-assistant/fabian/mood"

After a restart of Home Assistant the “Mood” sensor will show up in the frontend. For more details about the configuration of MQTT itself and the sensor, please refer to the MQTT component or the MQTT sensor documentation.

Now we can set the mood. The commandline tool (mosquitto_pub) which is shipped with mosquitto is used to send an MQTT message.

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$ mosquitto_pub  -h 127.0.0.1 -t "home-assistant/fabian/mood" -m "bad"

The Mood sensor

This is a really bad example. Don’t do this in the real world because you won’t be able to create diagrams of historical data. Better use a numerical value.

Python MQTT bindings

The last section was pretty boring, I know. Nobody wants to send MQTT messages by hand if there is a computer on the desk. If you are playing the lottery this section is for you. If not, read it anyway because the lottery is just an example :-).

This example is using the Paho MQTT Python binding because those binding should be available on the host where Home Assistant is running. If you want to use this example on another machine, please make sure that the bindings are installed (pip3 install paho-mqtt).

The first step is to add an additional MQTT sensor to the configuration.yaml file. The sensor will be called “Lottery” and the unit of measurement will be “No.”.

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  - platform: mqtt
    name: "Lottery"
    state_topic: "home-assistant/lottery/number"
    unit_of_measurement: "No."

Don’t forget to restart Home Assistant to make the configuration active.

To play, we need numbers from 1 to 49 which can be marked on the ticket. Those numbers should be random and displayed in the Home Assistant frontend. The Python script below is another simple example on how to send MQTT messages from the commandline; this time in a loop. For further information and examples please check the Paho MQTT documentation.

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#!/usr/bin/python3
#
import time
import random
import paho.mqtt.client as mqtt
import paho.mqtt.publish as publish

broker = '127.0.0.1'
state_topic = 'home-assistant/lottery/number'
delay = 5

# Send a single message to set the mood
publish.single('home-assistant/fabian/mood', 'good', hostname=broker)

# Send messages in a loop
client = mqtt.Client("ha-client")
client.connect(broker)
client.loop_start()

while True:
    client.publish(state_topic, random.randrange(0, 50, 1))
    time.sleep(delay)

Every 5 seconds a message with a new number is sent to the broker and picked up by Home Assistant. By the way, my mood is much better now.

The Lottery sensor

With only a few lines of Python and an MQTT broker you can create your own “smartdevice” or send information to Home Assistant which you haven’t think of. Of course this is not limited to Python. If there is an MQTT library available, the device can be used with Home Assistant now.

Arduino

To get started with real hardware that is capable to send MQTT messages, the Arduino platform is an inexpensive way to do it. In this section an Arduino UNO with an Ethernet shield and a photo resistor is used. The photo resistor is connected to analog pin 0 (A0) and has an output from 0 to 1024.

The Arduino UNO with Ethernet shield and photo resistor

The MQTT client for the Arduino needs to be available in your Arduino IDE. Below you will find a sketch which could act as a starting point. Please modify the IP addresses, the MAC address, and the pin as needed and upload the sketch to your Arduino.

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/*
  This sketch is based on the basic MQTT example by
  http://knolleary.github.io/pubsubclient/
*/

#include <SPI.h>
#include <Ethernet.h>
#include <PubSubClient.h>

#define DEBUG 1 // Debug output to serial console

// Device settings
IPAddress deviceIp(192, 168, 0, 43);
byte deviceMac[] = { 0xAB, 0xCD, 0xFE, 0xFE, 0xFE, 0xFE };
char* deviceId  = "sensor01"; // Name of the sensor
char* stateTopic = "home-assistant/sensor01/brightness"; // MQTT topic where values are published
int sensorPin = A0; // Pin to which the sensor is connected to
char buf[4]; // Buffer to store the sensor value
int updateInterval = 1000; // Interval in miliseconds

// MQTT server settings
IPAddress mqttServer(192, 168, 0, 12);
int mqttPort = 1883;

EthernetClient ethClient;
PubSubClient client(ethClient);

void reconnect() {
  while (!client.connected()) {
#if DEBUG
    Serial.print("Attempting MQTT connection...");
#endif
    if (client.connect(deviceId)) {
#if DEBUG
      Serial.println("connected");
#endif
    } else {
#if DEBUG
      Serial.print("failed, rc=");
      Serial.print(client.state());
      Serial.println(" try again in 5 seconds");
#endif
      delay(5000);
    }
  }
}

void setup() {
  Serial.begin(57600);
  client.setServer(mqttServer, mqttPort);
  Ethernet.begin(deviceMac, deviceIp);
  delay(1500);
}

void loop() {
  if (!client.connected()) {
    reconnect();
  }
  client.loop();

  int sensorValue = analogRead(sensorPin);
#if DEBUG
  Serial.print("Sensor value: ");
  Serial.println(sensorValue);
#endif
  client.publish(stateTopic, itoa(sensorValue, buf, 10));
  delay(updateInterval);
}

The Arduino will send the value of the sensor every second. To use the data in Home Assistant, add an additional MQTT sensor to the configuration.yaml file.

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  - platform: mqtt
    name: "Brightness"
    state_topic: "home-assistant/sensor01/brightness"
    unit_of_measurement: "cd"

After a restart of Home Assistant the values of your Arduino will be available.

The Brightness sensor

I hope that this post could give you some ideas about the usage Home Assistant and MQTT. If you are working on a cool project that includes Home Assistant, please let us now.

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