Интеграция торговых весов в Home Assistant : Торговые весы

esphome:
  name: scales
  friendly_name: Scales

esp32:
  board: esp32dev
  framework:
    type: arduino

logger:

api:
  encryption:
    key: "P4LyRccQlamwbhSyExhGYwxI4rpadMs3G96DNEH211U="

ota:
  password: "e683b53ecf4cfa24deef44dcaef4186e"

wifi:
  ssid: !secret wifi_ssid
  password: !secret wifi_password
  ap:
    ssid: "Scales Fallback Hotspot"
    password: "vsGnPD6LQ9CZ"

captive_portal:

uart:
  id: uart_scales
  tx_pin: GPIO17
  rx_pin: GPIO16
  baud_rate: 9600

sensor:
  - platform: template
    name: "Scales Weight"
    id: scales_weight
    unit_of_measurement: "kg"
    accuracy_decimals: 3
    update_interval: 5s

binary_sensor:
  - platform: template
    name: "Scales Stability"
    id: stability_binary_sensor
  - platform: template
    name: "Scales Overload"
    id: overload_binary_sensor

script:
  - id: read_scales
    mode: queued
    then:
      - lambda: |
          static float last_weight = 0.0;
          static bool is_stable = false;
          static bool is_overload = false;

          id(uart_scales).write_byte(0x05);
          unsigned long start_time = millis();
          bool got_ack = false;
          uint8_t c;  // Исправлено: uint8_t вместо char

          while (millis() - start_time < 3000) {
            if (id(uart_scales).read_byte(&c) && c == 0x06) {
              got_ack = true;
              break;
            }
          }

          if (!got_ack) {
            ESP_LOGD("scales", "No ACK received");
            return;
          }

          id(uart_scales).write_byte(0x11);
          String response = "";
          start_time = millis();

          while (millis() - start_time < 1000) {
            if (id(uart_scales).read_byte(&c)) {
              response += (char)c;  // Исправлено: приведение к char при добавлении в строку
              if (c == 0x04) break;
            }
          }

          if (response.length() < 14) {
            ESP_LOGD("scales", "Invalid data packet - too short");
            return;
          }

          char stability = response[2];
          char sign = response[3];
          String weight_str = response.substring(4, 10);
          
          is_stable = (stability == 'S');
          is_overload = (sign == 'F');

          if (!is_overload) {
            float weight = weight_str.toFloat();
            if (sign == '-') weight = -weight;
            last_weight = weight;
            id(scales_weight).publish_state(weight);
          }

          id(stability_binary_sensor).publish_state(is_stable);
          id(overload_binary_sensor).publish_state(is_overload);

interval:
  - interval: 5s
    then:
      - script.execute: read_scales