Flashing Tasmota onto a Wifi sensor controller (MHCOZY TH1CH-B1RF)

Today i got a MHCOZY TH1CH-B1RF and installed tasmota:

MHCOZY TH1CH-B1RF is a Wifi temperature and humidity controller:

Product details say:

Users can add the device to the APP eWeLink in order to remotely control connected home appliances or devices. In self-locking mode, customers can remotely turn on/off connected devices immediately. When in inching mode, customers can have two wiring ways to select: * Turn on 1s and then auto-off,* Turn off 1s and then auto-on.

Of course you can stay with the original software, but then you have to integrate EWELINK to you enviroment (which uses port 5353 with some strange multicast mechanism). I want to get the values via HTTP. So the questions is: Can this hardware run tasmota?

If you open this device, you see, that the chip is a PSF-Bxx:

(picture is a screenshot from here: https://templates.blakadder.com/PSF-B.html)

With knowing that, Tasmota can be flashed onto this device:
(all the connects are a little bit tricky, because there are no plugs and you have to constantly touch the contacts with the pins)

1. Connect GPIO0 with ground (you can use the shielding of the USB connector on the board) 
2. Insert power via the USB connector
3. after 5 seconds remove the connection from GPIO0 to ground
4. connect your serial programmer TX --> chip RX
5. connect your serial programmer RX --> chip TX
   (i always start with TX --> TX and RX --> RX, which is wrong 🤐 ) 
   
6. open tasmotizer.py
   (for installation look here - i chose option 2)
7. if you choose "backup - save original firmware", then you have to start after the backup with step 1 again.
8. choose "release" and "tasmota.bin"
   
   
   
9. click "Tasmotize!"

After a reboot change to the new Wifi "tasmota....XXXX" and enter your Wifi credentials there on 192.168.4.1. And after a reboot you can open the web GUI like this here:

 

(the DHT11 sensor has to be selected for GPIO14)

Now i can get the values via

curl 'http://192.168.178.107/cm?cmnd=status%2010&user=admin&password=XXXX'

"StatusSNS":{"Time":"2024-02-03T19:19:29","DHT11":{"Temperature":24.3,"Humidity":50.0,"DewPoint":13.2},"TempUnit":"C"}}

Review@amazon: AWS for Solutions Architects

 Beginning of 2024 i read the book "AWS for Solutions Architects: The definitive guide to AWS Solutions Architecture for migrating to, building, scaling, and succeeding in the cloud":

The book has 627 pages and consists of 16 chapters.

Due to the number of topics, the author wants to cover (and has to!) the book cannot really go into detail about all the services - but in my opinion that is not necessary. I really liked the network sketches in Chapter 4 and the 6 Pillars in chapter 9. But the rest also fits - there are various keywords or links for each area that provide a good introduction.  

For anyone who knows other hyperscalers and is moving to AWS or is having their first contact with the cloud with AWS, this book should be a must-read. I really liked chapters 9, 14, 15, 16 because they deal with the general topics. Here the author cares more about the reader's knowledge base than about the specific implementation in AWS (and he doesn't leave this out). Absolute reading recommendation!

For more details please read my review at amazon (this time in german only) :)

(But maybe copilot or any other ChatGPT/OpenAI can translate that.

1 million visitors reached!

After 17 years (!) this blog reached 1.000.000 visitors.

 

Some more numbers: 591 articles written, 2.200 comments which where spam, 360 published comments, nearly 200 posts about Linux, 180 posts about Oracle, nearly 50 reviews on books...

Let's see if the 2mio will be reached in 2040 (omg).

 

 

LinkedIn: Lakehouse Analytics - with Microsoft Fabric and Azure Databricks

Today i came across a posting in linkedin.com which points to this nice booklet:

The linkedin posting pointed to site, where you can register for the a PDF, which contains 20 pages and 7 chapters.

Chapter one is a very short one (only half of a page): A typical introduction about data, information, analytics and why this is important :)

In chapter 2 the lakehouse architecture is explained. I liked the phrase "It combines [...] traditional data warehouse with the massive scale and flexibility of a data lake". This phrase combined with a very good table of the differences between a data warehouse and a data lake is from my point of view an excellent definition.

"Data management and analytics with Microsoft Fabric and Azure Databricks" is the title of the third chapter. This chapter only emphasizes that Fabris and Databricks can work seamlessly together and Microsoft introduces a OneLake to simplify the integration of these tools.

Chapter 4 i can not really summarize here. But there is really a cool figure in that chapter. Here only a part of that:

The Databricks part is missing and some other parts as well, but in the new Microsoft approach Fabric consists not only of storage - even PowerBI is a part of that new powerful tool. (one subsection is about AI integration)

The next chapter "Code faster with GitHub Copilot, Visual Studio Code, and Azure Databricks" is about the demonstrating "the power of Azure Databricks as a leading platform for data and AI when combined with developer tools such as Visual Studio Code and GitHub Copilot". This is like a small walkthrough how to configure Visual Studio Code.

In the seventh chapter a step by step guide is provided for integrating Databricks with OneLake. 

In my eyes chapter 4 is the key of that booklet, for everyone who wants to know, how the terms Fabric, OneLake, Databricks, Lakehouse are related and how the big picture looks like. Anyone who analyzes data with Microsoft should have read this.