Last updated by Sascha Brockel on 13 December 2022

Expected Reading Time: 9 minutes

In times like these, when heating costs are skyrocketing, it is even more worthwhile to regulate your energy consumption. Not everyone lives in a perfectly insulated house and therefore needs to turn up the heating less often and less. Tado makes it possible with its smart radiator thermostats to regulate the temperature to the degree. If you also use the Tado Auto-Assist, you can save a lot of energy. It should be said in advance that this post is not paid advertising.

I've been using three Tado radiator thermostats for just over a year now and I'm very satisfied. Especially in winter, you look forward to coming home and not standing in a freezing chamber while showering. However, there was always a catch. The whole thing was only automated and "smart" with a Tado Auto-Assist subscription for €24.99 a year or €2.99 a year. If you still have an old Tado Bridge with V2, the subscription is free. Anyone who, like me, then bought a starter package with a V3 Bridge is left holding the bag.

With a price of €170 for the bridge and three thermostats, that's not exactly pleasing, since the purchase is already not that cheap and you have to save at least €26 per year in heating costs through the subscription and the Auto-Assist to get any benefit at all. There are definitely cheaper alternatives, but Tado appealed to me the most visually and the geofencing functionality makes a big difference. The same goes for the window-open detection, which works without additional sensors on the windows. Accordingly, it would be nice to be able to use the whole thing for free, right?

Tado itself describes it as follows:

Depending on the location of all Tado users in a household, the heating is switched on or off, for example. The criteria for this and how warm it should be, for example, can be configured individually.

Now we are back to the initial problem. But this only works with the Auto-Assist subscription. Or maybe not? Through the API of Tado it is possible to read the status of your home. If you do not have a subscription, the Tado app sends notifications to alert you about the status.

For example, no one is at home and a notification is sent from the Tado app with the question and possibility to switch from HOME mode to AWAY mode and thus possibly turn off all heaters. However, since this does not happen automatically and you are not constantly looking at your phone, it is quite possible that you miss out on these savings. This is annoying for the environment and the wallet.

The same scheme as described for geofencing applies to window open detection. Notifications are sent, but this is far from full automation.

In order to be able to use the Tado Auto-Assist at all, you have to activate some settings. These can be seen in the pictures. On the one hand, you have to activate the window open detection for all desired rooms and on the other hand, the location-based control on the devices of each Tado user. For example, if only one user has activated this function, only his location will be taken into account.

The Tado community naturally also includes developers who have not let themselves be deprived of the opportunity to use the API for their own purposes and to prevent a subscription obligation.

With the help of a Python module called pyTado programmed from Chris Jewell the foundation stone has been laid. And that already in 2016 or until the last update in 2019. He describes the module as follows:

PyTado is a Python module that implements an interface to the Tado web API. It allows the user to interact with their Tado heating system to monitor or control their heating system, which goes beyond what Tado itself currently offers.

With this, all data can now be read from the Tado API. This means that we have complete information about everything related to our system. But now the whole thing had to be implemented in such a way that the functionalities used by the Auto-Assist are integrated.

For this implementation, the GitHub user adrianslabu (Adrian Slabu) is responsible. In his GitHub repository he used the pyTado module to replicate the functions of the Auto-Assist. And it really works flawlessly. I don't want to go into more detail about the technical implementation, as that would go beyond the scope. For that you can have a look at the source code in his repository.

Basically, with the Python script, it is possible to run it anywhere Python can be installed. For someone like me, who likes to have everything in Docker as a container, this was not a solution and too much effort to run it on my server with Python.

Accordingly, I looked to see if and how the whole thing can be made available as a Docker image. Based on the python:alpine image, the script is added. In addition, we need of course the mentioned pyTado module. So that we can variably set username and password for our Tado account, two more environment variables are set, which are picked up again in the slightly customized script. Finally, the script is only started via CMD command in the Dockerfile.

This Docker Image solution makes it possible to run the script on almost any device. Especially single board computers (SBC) like a RaspberryPi or ODROID or any other low power device are perfect to keep the script running continuously.

Currently the Docker image for linux/amd64, linux/arm/v7 and linux/arm64 available. If there is a need for another platform, please post in the comments. You can find the Docker image in the Docker Hub registry. I take care to keep the image up to date and to react quickly in case of changes.

Link to Docker Hub repository: saschabrockel/tado_aa

To start the container now you can either use the command docker run or use a compose file. The container logs the data just like the original script and you can check what exactly happened or happened. By the way, you don't get notifications on your smartphone anymore, because the script already reacts automatically to changes and a reminder is not necessary anymore.

Of course, you can also use the Compose file in Portainer as its own stack. If everything works, you should see logs that look like this:

It is now very easy for the end user to use Tado Auto-Assist free of charge. This applies to both geofencing and window open detection. The only requirements are a device that runs around the clock and supports Docker. Even a Synology NAS can be used for this purpose.

I hope this free alternative to the expensive subscription will help you reduce your heating costs in the coming winters. If you have any questions or comments, feel free to post a comment.


Joachim · 7. October 2022 at 08:28

Hello Sascha,
great. With your Docker image, this is now running on my Synology DS 920plus.
However, I have a question. Do you know where I can set the time for Docker. In my log it says 08:13:56 for time and in the log column it says 07.10.2022 06:13:56 # DONE!

So thank you for this great post.

Greetings and have a nice day


    Sascha Brockel · 7. October 2022 at 15:29

    You must add the following to the "environment:": TZ=Europe/Berlin
    So then like this:
    [email protected]

    TZ here stands for Timezone and I'm assuming you're from Germany 🙂

Benjamin · 21. October 2022 at 11:56

How can I use the whole thing with a Synology NAS? And how does the automation work?

    Benjamin · 21. October 2022 at 12:34

    Okay, I really could have saved myself the trouble of asking that. This is really foolproof. I simply installed Docker on the NAS in the Synology package center and searched there under Image for tado_aa. Once your Docker image is added just fill in USERNAME and PASSWORD (also added TZ as in the answer above). Once the process is started the automation runs all by itself and the geofancing and window open setting is executed. Thanks that thanks to you this bad habit of Tado for the service to ask extra money has an end!

      Sascha · 21. November 2022 at 16:21

      Since yesterday, the page needed for login seems to be unreachable. Is there another way to connect?

        Sascha Brockel · 21. November 2022 at 16:42


        I have just updated the Docker image. Maybe that helps. Everything works fine for me. Once times docker compose -f docker-compose-tado.yml pull. So just as an example. Stop container, pop new image and start container again. Feel free to give feedback.

Benjamin · 21. October 2022 at 12:35

This is really foolproof. Just installed Docker on the NAS in the Synology package center and searched for tado_aa under Image. Once your Docker image is added just fill in USERNAME and PASSWORD (also added TZ as in the answer above). Once the process is started the automation runs all by itself and the geofancing and window open setting is executed. Thanks that thanks to you this bad habit of Tado for the service to ask extra money has an end!

Marc Hagemann · 29. October 2022 at 14:26

Is there a tutorial somewhere (foolproof) to get this working on a Raspberry Pi 2b. I still have one unused. But I am not an expert Linux

    Sascha Brockel · 29. October 2022 at 17:29

    Of course, the RPI2b is already a bone. But as long as it can run Docker or a Python script, that's possible. This is already a special case somewhere. Unfortunately, it can only be done perfectly foolproof for a very specific example. Say you may have to flash an image on which you can also install Docker and if that is done, then this tutorial is enough. I always think something like a Docker installation from me would be superfluous, since there are umpteen other sources that explain it, but it would probably sometimes be better to write another article about it and link it here. I'll take a look when I get a chance.

      Marc Hagemann · 3. November 2022 at 07:46

      Now everything worked with a Raspberry Pi 2b. Installed Docker incl. Portainer and created the stack according to your instructions. Contrary to the instructions in your Youtube video, I had to configure username and password not in the advanced settings, but as in your example above, directly in the main stack. Otherwise I always got the message that the credentials were wrong.

Danny · 9. November 2022 at 17:23

Hello Sascha,

I get the following error on the Raspberry after I execute the first command
docker run -name tado_aa -restart always -e USERNAME=YOURUSERNAME -e PASSWORD=YOURPASSWORD saschabrockel/tado_aa:latest

Traceback (most recent call last):
File "/app/", line 10, in
import logging
File "/usr/local/lib/python3.10/logging/", line 57, in
_startTime = time.time()
PermissionError: [Errno 1] Operation not permitted

Can you help there?
Thank you

Thomas Krajcsy · 17. November 2022 at 12:53

Hi Sascha, thanks in advance for the ingenious Docker solution.
I have a tado app question: how to turn on Auto-Assist in de app without signing up for a plan (paid) ... does tado really want to collect 2,99€ per month from each family member? Once I turned on Auto-Assist by taking 1 week free plan ... and then cancelled in time.
Thank you,

    Sascha Brockel · 18. November 2022 at 07:12

    Hello Thomas, this may be a little misleading. The fact is that the Auto-Assist in the app is still set to "Inactive". But that doesn't matter, as the Docker container is effectively the Auto-Assist. It's just self-hosted. So you can safely leave everything inactive. Best regards.

      Sascha Brockel · 19. November 2022 at 17:12

      I have to correct myself. Tado seems to have changed something. For me, it no longer works as it should. But I did not notice, because I was not there. Anyway, I get notifications. In the logs of the Docker container everything still looks good. But there was also an update of the script. I will bring it to Docker as soon as possible as well. Then you have to stop or completely shut down the container once and then start or pull it again to get the latest version.

Thomas · 17. November 2022 at 15:52

Hello Sascha, first of all THANK YOU for the ingenious Docker solution and the really understandable instructions for installation. I have a tado installation running at home, but with a V2 run. My brother in law has now also bought tado, but with V3 ... therefore your solution 😉
Unfortunately, I now have the following problem: How can I enable Auto-Assist on the iPhone in the tado app without having to opt for a paid plan? My brother-in-law did this with the 7-day trial version, which he canceled in good time, so we were only able to try out "self-hosting" after 7 days - it works so far, but we are now faced with the problem that his wife cannot activate Auto-Assist in the same household. Does this mean that tado is charging each household member this €2.99, i.e. €12/month for a 4-person household? Or has something gone wrong? Is there a way to activate Auto-Assist without a plan? Does everyone in the household have to buy a plan and then cancel it immediately so that the APP can activate Auto-Assist? We have now tested the situation so that the cell phone controls the scene without Auto-Assist. SMSs continue to arrive? -> If you switch off or log off the cell phone without AA, everything works as you described.
Do you have an idea?
THANKS in advance!

    Sascha Brockel · 21. November 2022 at 16:50

    I also noticed that Tado has adjusted something there. You can probably skip that part now. The logs for me say that it still works. I had it but actually also that the notifications still came to the phone. I just updated the Docker image though. Maybe that will change something. So the auto-assist may safely stay on inactive. So no worries. Nothing with paying. I think you meant with SMS the notifications. That with the trial version was in any case unfortunately not correct. But this is all new now. Update the Docker image to the latest version. You can do that for example with docker compose -f docker-compose-tado.yml pull docker. Here, docker-compose-tado.yml stands for the name of your compose file. See how it behaves after the update. Feel free to comment again.

    Many greetings

Torben · 3. December 2022 at 19:01

Hello Sascha,

First of all, many thanks for the detailed instructions. Unfortunately, I can't get it to work. But I also have to admit that I'm a complete novice in this field. I have a Raspberry Pi Zero 2W on which I have installed Docker & Portainer, but I can't create a stack there. I always get the meaningless error message "portainer failed to deploy stack" without any further details.

When I run the run script the container is shown in portainer, but nothing is controlled at Tado and I don't get any info in the container log.
When running the command, I also get the following warning:
WARNING: The requested image's platform (linux/arm/v7) does not match the detected host platform (linux/arm/v6) and no specific platform was requested

Could it be because the pi only runs arm/v6?

Thank you very much for your help,


    Sascha Brockel · 4. December 2022 at 00:25

    Hello Torben, you have recognized that correctly. But I took care of it directly. I thought there are hardly any devices left in use that use arm/v6. Try it again now. The image with the latest tag now also contains the image for the platform arm/v6, i.e. for you. In Portainer just delete container and image again and then start compose again. Many greetings

      Torben · 4. December 2022 at 13:39

      Hello Sascha,

      wonderful, thank you for your quick help! It works

      Just to understand: I only got it to run with the Docker Run script. I still could not create a stack. I also get the hint regarding arm/v6 during the Portainer installation. I think it's because of that? I installed an older Portainer version as a test. I still get the arm/v6 message, but at least the error message during stack deploy contains more information (problem with version "3")? What is the advantage of creating a stack? It works the same way with the run script?

      Thanks for your quick help :)!


        Sascha Brockel · 5. December 2022 at 12:11

        Ah okay, then Portainer is probably no longer designed for the old architecture. But that doesn't matter either. The stack and Portainer would just be the advantage that you can manage everything directly from a user interface and don't have to log into the server and mess around with command lines. So everything fits as you made it. Many greetings

        Victor · 20. December 2022 at 12:37

        Thank you for the script. It is working very nice in Synology NAS using docker. Only two questions..

        1) I have detected in the logs... it creates an entry when a window open is detected and active "OpenWindow mode"... but when the window is close and the valve is again active... in the logs is not reflected in any way... this is normal? It is possible to modify it to add log entries when the valve is again active?

        2) It is possible to modify the time of checks, for example to determine the amount of seconds to check if a window is open or not and the same for geofecing?

        Thank you

          Sascha Brockel · 22. December 2022 at 02:37

          Hey there. Yes, it is true that there are no logs about it when OpenWindows Mode is disabled. The way I see it, the whole thing can't be logged that easily. You would have to tell me if after an open window is detected, "Done!" is logged directly or later when you close the window. Otherwise "Done!" would be the indicator, but I think it only says that something was done after the API call.

          As for the check interval, I can help though. The interval is set to 10 seconds by default. I guess that should be enough for you. I can also make the value settable through the Docker variables, but I think a value lower than 10 seconds has no advantages.

Kry · 28. December 2022 at 14:53

Hi, is it possible to leave only the open window detection active and deactivate the geofencing?

    Sascha Brockel · 28. December 2022 at 15:26

    Hey, currently it is not possible. But I'm pretty sure it is possible to adjust the script with a condition to make it work.

Strahil Nikolov · 30. December 2022 at 22:06

Hey Sasha,

I recently got V3 and the docker image sounds great.
Have you tried running it in Kubernets or Openshift ?

I doubt there will be any problems, but it's worth asking.

    Sascha Brockel · 30. December 2022 at 23:44

    Sorry, I have never tried anything other than Docker with this image.

Strahil Nikolov · 30. December 2022 at 23:32

I tried to run the container in Openshift and it seems to be running, but it can't write to the log .
Usually all logs should go to Docker/Podman/K8S/Openshift. Maybe you should disable the log file by default ?

Also, you might consider changing the path to pwd or /var/log as it doesn't make sense to log to /l.log

    Sascha Brockel · 30. December 2022 at 23:43

    Hi, I never worked with OpenShift. I agree with you about the log path. I just made the script available for Docker and didn't adjust much else. That is also the reason for the path. My intention was just to get it running as an image as well and no enhancements.

      Strahil Nikolov · 1. January 2023 at 01:34

      Based on the current situation, I guess that the only features we miss are 'Preheat Before Arrival' and 'Energy IQ', right ?

        Sascha Brockel · 1. January 2023 at 23:35

        I guess you are right. You can still influence Preheat Before Arrival by changing the radius of the location-based control/geofencing of your home area.

Strahil Nikolov · 2. January 2023 at 00:43

Hi Sasha,

I have created a little repo that is suitable for S2I deployment of the script at
Of course, even an UBI9 pod should do the job.The benefit is that if the base builder image changes (and it eventually will be updated) - the build process can be triggered to update the pod.

In my case I'm also using a web hook to notify OKD to trigger a new build , which will automate the whole processes when a patch is created.

If I have some time, I will try to create some DockerFiles for Alpine and UBI9.

Strahil Nikolov · 16. January 2023 at 06:28

Updated the tado script a little bit more (it responds to http request for healtchecking) and I even managed to setup Google Cloud Build & Cloud Run.
Theoretically the Cloud Run free tier should be enough to host the solution without incurring charges. I will provide more details if everything goes as expected.

    Tom · 21. January 2023 at 16:08

    The tado script works perfect. And it is very interesting to see the further development of running the script with cloud run.

      Strahil Nikolov · 13. February 2023 at 22:00

      The bill (past 30 days) from Cloud Build, Cloud Run and Cloud log is $0.19 (discount of $1.27).
      When I have some time, I will update the readme with detailed instructions how to setup in the GCP (or even better, share a terraform to deploy it).

Florian · 20. February 2023 at 16:39

Hello, thanks for all the effort that went into this.
I have been running the container for a while without any problems, but am now encountering authentication problems. It looks to me as if Tado has switched off the "public-api-preview" API. Can you confirm this?

20-02-2023 15:35:16 # HTTPSConnectionPool(host='', port=443): Max retries exceeded with url: /oauth/token?client_id=public-api-preview&client_secret=4HJGRffVR8xb3XdEUQpjgZ1VplJi6Xgw&grant_type=password&password=XXXXXXXXXXXX&scope=home.user&username=XXXXXXX(Caused by NewConnectionError(': Failed to establish a new connection: [Errno -3] Try again'))
Connection Error, retrying in 30.0 sec..

Direct call in the browser:
{"error": "method_not_allowed", "error_description": "Request method 'GET' not supported"}

Martin · 28. February 2023 at 10:22

Hi Sasha,
What changes did you make in the Python script? I want to add an additional environment variable for GeoFencing to disable it independent of the window mode, but I don't know if you have any other changes in there via USERNAME/PW. P.S. would vlt also a good option for your container 😉

Best regards

    Sascha Brockel · 28. February 2023 at 19:07

    Hey Martin,

    except for the environment variables, there are actually no customizations. I know it could be made more customizable, but so far no one has asked for it and I haven't needed it myself. And especially for non-technical users, the motto the less the better is simply true 🙂

Martin · 5. March 2023 at 21:11

Hi Sasha,
thank you for the work you have put in.
Unfortunately it does not work for me, I get the following error message:
05-03-2023 20:03:36 # Login error, check the username / password !
05-03-2023 20:03:37 # Login error, check the username / password !
05-03-2023 20:03:38 # Login error, check the username / password !
05-03-2023 20:03:39 # Login error, check the username / password !
05-03-2023 20:03:40 # Login error, check the username / password !
05-03-2023 20:03:43 # Login error, check the username / password !
05-03-2023 20:03:46 # Login error, check the username / password !
05-03-2023 20:03:54 # Login error, check the username / password !
05-03-2023 20:04:07 # Login error, check the username / password !
05-03-2023 20:04:33 # Login error, check the username / password !
05-03-2023 20:05:25 # Login error, check the username / password !
05-03-2023 20:06:26 # Login error, check the username / password !

Did the whole thing as described in your video via Portainer, running on AMD64 in Unraid Docker. I also tried to enter the Tado username instead of the mail address in USERNAME. Same result. I also changed my password and took out a special character - doesn't work with that either. What am I doing wrong?
Thanks a lot
Love greetings


    Sascha Brockel · 5. March 2023 at 21:17

    Hey Martin, that's a good idea with the special character. Had such a problem also when I had an apostrophe / quotation mark in the password. Your problem will be what I had mentioned in the video. It won't work with portainer if you do it via this environment variables function/section. Write the variables directly into the docker-compose under the category environment: and it will work. Feel free to give feedback. LG

      Martin · 8. March 2023 at 23:39

      Evening Sascha,

      thanks for the quick help. Have overlooked the forest for the trees, am actually not such a DAU 🙂 .
      Runs now, thank you :-))

Simon · 9. March 2023 at 10:28

I am relatively new to Python and would like to try running the window open detection script in Python using a Raspberry Pi.
The connection to Tado seems to be established by the script, I can display my rooms. Unfortunately, this error occurs afterwards:

Waiting for an open window..
Living room
'Tado' object has no attribute 'getOpenWindowDetected'
Connection Error, retrying in 30.0 sec..

I can't find the attribute "getOpenWindowDetected" in the Tado class in the interface file either. Can anyone help me with this?

Thanks and greetings

    Simon · 10. March 2023 at 17:48

    The error has already been found in the meantime and the script works wonderfully, thank you!

F.K. · 12. March 2023 at 07:50

Is there any way to explain this or provide apps without having to have a degree in computer science to implement it?

    Sascha Brockel · 13. March 2023 at 12:23

    Moin, so you don't need a degree for this in any case. You can quickly google it even without knowledge. How to install Docker, for example, is sufficiently shown on YouTube. The whole thing cannot be provided as a kind of app. The most important condition remains that the service is run on something that runs 24/7, so that the changes are noticed. And servers of any kind are best suited for this. There is an Always Free Tier server at Oracle.

    Strahil NIkolov · 24. March 2023 at 07:55

    If you google a little bit more, you can even deploy it to Google Cloud and the costs are quite affordable (around $0.22 per month).

Daniel · 22. March 2023 at 20:10

Hi Sascha!,

thank you a lot for your great work!.
could it be possible to generate the docker on Windows?, I run the current image but it consumes more than 2Gb of RAM and I think that if the docker is created on Windows it will be no neccesary to use the Linux Kernel emulation (WSL 2).

Thanks in advance!

    Sascha Brockel · 23. March 2023 at 00:09

    Hey Daniel, yes it would be possible. So far, no one has asked for it. Exactly, if the image is created directly for Windows, then you don't need WSL2. I will comment if I have set up the image for Windows as well.

    Unfortunately, I don't think it's that easy, since everything is designed for Linux. For example, Python Alpine is only available for Linux. If you have a Dockerfile that makes it work with Windows, feel free to post it here. It's definitely a bit of work. Many greetings!

Maurice · 25. September 2023 at 14:07

Hi Sasha,

First of all, thank you for the comprehensive guide and writing this in the first place!
I've managed to get a docker-instance running which I can approach via Portainer.
When I start the container, I've run into the same problem as Florian (on the 23rd of February):
(Username, password and secret have been redacted, username shows a instead of the @ sign in the url)

25-09-2023 11:07:12 # HTTPSConnectionPool(host='', port=443): Max retries exceeded with url: /oauth/token?client_id=public-api-preview&client_secret=[SECRET]&grant_type=password&password=PASSWORD&scope=home.user&username=USERNAME

(Caused by NewConnectionError(': Failed to establish a new connection: [Errno -3] Try again'))

Is this an issue on my end, or did Tado change something?

    Sascha Brockel · 26. September 2023 at 01:24

    Hey there. Mine is still working. I know that there were problems when I had some signs in my password like @ or " if I remember it correctly. It's worth checking it in your case. is the normal URL encoding for @ so don't worry.

      Maurice · 26. September 2023 at 16:02

      Thanks for the swift reply!
      I've changed my Tado password to only contain uppercase, lowercase and numbers to test, but the message doesn't change.
      Furthermore, I've made sure that the password exactly matches the one for Tado, without any random tabs or spaces, but it's just the same message every 30 seconds.

      After deleting the container and re-building it, the same message keeps appearing 🙁

      As far as I can tell, the connection simply fails, the container isn't running in a VLAN, and the error seems to tell that the connection is refused due to too many retries. Though the first time I tried it already said that; that's why I think Tado might be up to something. I suppose it's just my set-up

        Maurice · 30. October 2023 at 10:04

        Okay so I've solved the error and it's working as it should!
        If anyone else has this issue or error message, it means that the container can't reach the internet.
        Apparently I've got a complex situation in my Docker, but what fixed it was constructing the docker compose file the same way Sascha has it, but adding the network_ mode and ports to it in this location:

        restart: always
        network_mode: host
        - "443:443"

        After that it's working and I'm very grateful for this solution!

Philipp · 10. October 2023 at 23:15

Hello Sascha,

First of all, thank you for the great write-up and compilation.

Does the code also take into account in the geolocation that if you are relatively close to home, the heating is only moderately throttled. Whereas the heating is throttled back more if you are further away? At least that's how the "official" Auto-Assist works.

Thanks in advance and best regards!

    Sascha Brockel · 11. October 2023 at 00:29

    As far as I know, when it detects that you are AWAY, it switches off completely and not depending on the location. There is also a revised version of the script, but I haven't had a chance to install it. Maybe the function is there. Once I do, I'll update the post.

Alexander · 31. October 2023 at 21:44

I recently installed PiHole and now I get the following error message. Unfortunately, the error can not be fixed even if PiHole is disabled in the portainer.

31-10-2023 20:43:45 # HTTPSConnectionPool(host='', port=443): Max retries exceeded with url: /oauth/token?client_id=public-api-preview&client_secret=4HJGRffVR8xb3XdEUQpjgZ1VplJi6Xgw&grant_type=password&password=XXXXXX&scope=home.user&username=XXXXX (Caused by NewConnectionError(': Failed to establish a new connection: [Errno -3] Try again'))
Connection Error, retrying in 30.0 sec..

Drew · 2. November 2023 at 21:26

I am new to this and I am trying to get this working on a windows PC using Docker but i just can not get it to work. Is there a step by step i can follow that can get me up and running on a windows pc.
Thanks in advance.

    Sascha Brockel · 4. November 2023 at 00:53

    Unfortunately, there are no instructions for this. But it is basically very similar. You need a Windows PC that runs 24/7. Install Docker Desktop there and then run docker-compose.yml.

      Drew · 5. November 2023 at 17:49

      Hi, One thing i have noticed is that window detection doesnt appear to be working. For exampl, i have had the door open today for quite some time and it didnt trigger anything in the log. Geofencing is flawless, its just windows detection.

Drew · 2. November 2023 at 22:41

Amazing work. I got it working instantly when i used the docker compose script instead of trying to run it manually in docker. Thanks for sharing.

Stephan · 5. November 2023 at 16:14

Many thanks for your efforts! I have now installed it on the Synology NAS, just as Bejamin described. Really only a matter of minutes. Thank you very much!

Christian · 13. November 2023 at 21:41

Tried this on an old Raspberry pi 2 and it does seem to work (I.e it detects that I'm away and turns off my warm water) but does not seem to turn off the central smart thermostat. That one stays on and I get the standard phone message asking me if I want to turn down the heating. Not sure if that is also supposed to god down autmatically...

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