Install platform IO cli

export PATH=$PATH:~/.platformio/penv/bin

printf("Restarting now.\n");
fflush(stdout);
esp_restart();

IDF_PATH=~/.platformio/packages/framework-espidf/

You may have to add pyserial: sudo pip3 install pyserial

Read device info: python3 $IDF_PATH/components/esptool_py/esptool/esptool.py --port /dev/cu.usbserial-A5XK3RJT flash_id

Read partition table

python3 $IDF_PATH/components/esptool_py/esptool/esptool.py --port /dev/cu.usbserial-A5XK3RJT read_flash 0x8000 0xc00 ptable.img

We can now check the content of the ptable.img file python3 $IDF_PATH/components/partition_table/gen_esp32part.py ptable.img

Here is an example of the result:

# Espressif ESP32 Partition Table
# Name, Type, SubType, Offset, Size, Flags
nvs,data,nvs,0x9000,20K,
otadata,data,ota,0xe000,8K,
app0,app,ota_0,0x10000,1280K,
app1,app,ota_1,0x150000,1280K,
spiffs,data,spiffs,0x290000,1472K,

OsX

You may encounter a problem uploading the file to ESP32 that uses the new chip USB/UART CH9102x.

A fatal error occurred: Failed to write to target RAM (result was 01070000)

You may find more information about solving this problem at:

https://blog.squix.org/2021/08/ch9102-driver-issues-failed-to-write-to-target-ram.html

It is related to those issues:

• espressif/esptool#280
• Xinyuan-LilyGO/LilyGo-T-Call-SIM800#139

FS

Create a folder at the first level called data.

To upload the data

pio run --target uploadfs

Alternative web server

https://github.com/me-no-dev/ESPAsyncWebServer#using-platformio

Searching libraries

https://platformio.org/lib/search?query=si7021

OTA

pio run -t upload --upload-port square.local pio run -t uploadfs --upload-port square.local

Test webserver

npm i --global loadtest
loadtest -n 1000 -c 4 http://square.patiny.com/command/A

Setup

Z: Layout model AA: 0 (RGB), 1 (BRG)

Cubes

I: 1 (one line) J: 10 (10 groups of 3 leds per line)

Flame simulation

https://cpldcpu.wordpress.com/2016/01/05/reverse-engineering-a-real-candle/