Option 2 works so that it additionally saves your .m5b project in the / block or / blocks folder on the device and simultaneously the generated micropython code in the / apps folder on the device.

In uiflow ide you can download your project from the device again to uiflow (the icon next to the button, run "device file manager") and continue editing and make changes.

I generally use 3 options until the program works as I want and then I finally load it to the device using the "download" option.

Coming back to the first option, only the project is saved, i.e. the block arrangement and their parameters. No python code is written anywhere, as it is automatically generated in the uiflow environment and saved only in the second and third cases.
In the third case, only a temporary .py file is saved and launched on the device, but it is not visible in the list of applications. This file stay in flash until its rewriten by next use "run" button.

If the code was created in the arduino environment and compiled and uploaded to atom. The result code is already uploaded, understandable only by the target device processor. It is possible to read such a program from the device and decompile it into C, but the decompiled code may be unreadable to you (It still be functional). During compilation, all descriptive names of variables and names of called functions are lost and converted to specific addresses in memory and program jumps to a specific address. You just write your source code in arduino. You save a copy of it on your PC / laptop. When uploading to the device, the code is compiled and uploaded where necessary. There is no need to rip it back from the device (see description above). You simply make the changes you need to your saved source code and compile and upload your changed code again back to the device.

@ikabou Bug confirmed and reported, we will release a fix in the next update.

@mb It doesn't show internet connectivity because the M5Stack device is operating on AP mode (no internet connection) it expects you to open your browser and enter the IP address 192.168.4.1 so you could give it your wifi credentials, once the M5Stack is connected to your wifi network you can start using it using UIFlow

Hi @mb

yes, I suppose you could use a global variable, but timers also allow to be started and stopped. So you could start the timer with the animation, do the http request and when it's done stop the timer again.

Cheers
Felix

Hello, are you experiencing same issue with the desktop IDE? I'll note it down and look into it.

Thank you!

thank you feedback. we will test this function.

why you put the timer start in the loop? I do not particularly clearly the functions implemented by the program

M5StickC and ToF Hat work great with firmware UIFlow 1.6.5.1 :)

alt text

Looks like you got it working, but what I was referring to with the Execute block was adding the full command like this to see if it would override the first.

0_1604065445929_Screen Shot 2020-10-30 at 9.43.07 AM.png

In the Python tab it looks like the command duplicated. I don't have the AtomQR to test with, so I'm not sure if this works or not...
0_1604066119845_Screen Shot 2020-10-30 at 9.43.54 AM.png

However, I found another workaround without the Execute block. After loading the AtomicQR example flow, then switch from Atom-Lite to Atom-Matrix in the settings, it will indeed add rgb.set_screen([]) on the Python tab. This is the bug. If you just select one of the 25 LED squares in the UI editor to change it to white, then select the same square again to change it back to black. Check the Python tab again and it will now show rgb.set_screen([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]) automatically.

If you save that as a new program (ex: Atomic_QR-Matrix), the next time you load the file, it should have the Matrix as the hardware type and the correct rgb.set_screen command in the python tab.

it is an old version program compatible problem. now we updated a new example.

https://github.com/m5stack/M5-ProductExampleCodes/tree/master/Core/Atom/Atom Matrix

thank you feedback. now it fixed. you could use the new firmware version UIFlow 1.6.5.1

MacOS users please put M5Burner App in the Application folder after the installation as shown in the figure below.

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