The first release of Micropython for ESP8266 was delivered a couple of weeks ago. The documentation covers a lot of ground. This post is providing only a little summary which should get you started.
Until a couple of weeks ago, the pre-built MicroPython binary for the ESP8266 was only available to backers of the Kickstarter campaign. This has changed now and it is available to the public for download.
This is the first blog post by Anton Kireyeu. A new contributor to Home Assistant who will focus on exploring and visualizing Home Assistant data.
As we learned in the recent blog post by Fabian, all operational data of your Home Assistant application is stored locally and is available for exploration. Our first steps were querying data with the DB Browser for SQLite, exporting the data extract as a CSV file and graphing in LibreOffice. But what else can be done with this data and what tools are there available?
This post will help you get set up using a few popular data scientist tools to allow you to locally process your data:
Pandas: an open source tool for data analysis for Python
The history component is tracking everything that is going on within Home Assistant. This means that you have access to all stored information about your home. Our history is not a full-fledged graphical processing and visualization component as you may know from systems and network monitoring tools. The current limitation is that you only can select a day for a visual output of your information and not a period. Also, there is no possibility to drill down on a specific entity.
This blog post will show you ways to export data for reporting, visualization, or further analysis of automation rules.
It’s time for Home Assistant 0.24 and it’s full of new integration for your Home. It contains some structural changes to our history which requires action from your end, so please keep reading.
MapQuest discontinued their free and direct tile access by Monday, July 11, 2016. With CARTO we found a very cool and suitable solution. They allow us to use their tile for the map. Thank you, CARTO.
Roy Hooper did an amazing job migrating the history support from being tied to SQLite to use the ORM SQLAlchemy instead. This means that you can now use any SQL backend for the history. So besides SQLite you can now databases like MySQL or PostgreSQL. However, this does require that you install SQLAlchemy and run a command to migrate your existing history over. We tried to make the process as seamless as possible by introducing a new command line script:
Over a year ago I participated in the kickstarter campaign for “CHIP - The World’s First Nine Dollar Computer” by Next Thing Co.. I went for the PocketCHIP because of the idea. Display, built-in storage (thus no need for SD cards), battery-powered, and a keyboard are pretty nice features. Last week a package arrives…
It’s time for Home Assistant 0.23 and it’s full of goodies. It’s also the release that bumps us over a 1000 tests and to 94% test coverage! Also our install issues on the Raspberry Pi and Synology have been resolved.
This release brings support for two new ecosystems: Envisalink and Homematic. We can now also control your TV via HDMI using HDMI-CEC (which works on the Pi!) and another cool feature is the persistent notifications which allow you to add a notification to the frontend till dismissed.
Wink support has been dramatically improved by migrating to the PubNub API. This allows Wink to push changes from their system to Home Assistant. This change came just in time as somehow our Wink integration was causing a lot of requests to their servers. Thanks to Wink for letting us know so we could solve it instead of blocking us.
On the config side, you can now store your passwords in your OS keyring or just in a standalone file. We also got a new service to reload the core config so no reboots needed anymore after changing customize settings!
HTTP: Migrate to CherryPy WSGI server to fix install and runtime problems (@balloob)
Homematic thermostat configuration has changed and now depends on the new Homematic component.
Hotfix 0.23.1 - July 2
Bump PyVera to 0.2.13 to fix traceback and pyvera thread dying related to bug (@rhooper)
HTTP - SSL: Check for OP_NO_COMPRESSION support before trying to use it (@AlucardZero)
Wink: Downgraded pubnub to work around pycryptodome conflicts (@w1ll1am23)
elevation: was introduced to the configuration for weather/sunrise data. For existing configurations add the value shown in the warning [homeassistant.config] Incomplete core config. Auto detected elevation: 665 to your configuration.yaml file.
In the past month I was thinking about ways to integrate USB webcams into Home Assistant again. The main reason was that this would give those devices a second life and enable one to benefit from low-cost video surveillance. There are a couple of options available like pygame or SimpleCV but I never finished something. With the Local File camera platform by Landrash and motion you could integrate a local USB webcam with a few very easy steps.
In this blog post I am using a Fedora 24 (will most likely work on other distributions too) installation with Home Assistant 0.22.1 on a Foxconn nT-330i with an old Logitech QuickCam Orbit AF and a Logitech HD Webcam C270. As a start only the Quickcam is used. No multi-camera setup for now.
It’s time for the 0.22 release. This was a pretty rough release cycle and we had to issue two hot fixes for our core improvements. But it seems now that all is good and a lot of people have reported that their installs are faster than ever and the occasional quirks no longer occur.
We are aware that our new web stack has caused issues installing Home Assistant on ARM-based platforms. This sadly includes the Raspberry Pi and Synology NAS systems. We’re working on getting to a better solution. For Raspberry Pi, the All-in-One installer will take care of everything for you. We’re working on updating our standalone Raspberry Pi installation guide.
There are two cool things that I want to highlight in this release. The first is Pandora support. This is based on the CLI player called pianobar. This means that your machine running Home Assistant can be connected to the speakers and provide your house with tunes.
Another cool addition is the local file camera. This seems very basic at first but will allow you to generate a graph with your favorite 3rd party graphing tool and display it on your Home Assistant dashboard. We’re looking forward to see what you can do with this!
It’s been already almost two weeks ago that a few of the Home Assistant developers headed towards Portland for PyCon 2016 - the conference about everything Python. We were there to learn all the nifty tricks to make our code better but most of all, to talk Home Automation.
On Monday I (Paulus) gave a presentation about Home Assistant to an audience of over 400 people! It was a bit scary at first but after a couple of minutes it went all great including some great questions afterwards. Slides can be found here and the talk is embedded right below:
One of the things that really impressed me was the amount of people that approached us to tell how they love Home Assistant, how it has replaced their previous solution, how they enjoyed contributing to Home Assistant and how helpful our community is. It makes me proud of Home Assistant and especially our community.
It’s time for release 0.21 and it contains massive core improvements: replacement of our home grown HTTP stack with a standardized WSGI stack. This will improve performance, speed, security and make future development of advanced HTTP features a breeze.
This work was driven by the amazing Josh Wright. His knowledge, high standards and drive for security has helped improve Home Assistant a lot ever since he started helping out. Hip hip hurray for Josh!