esphome:
  name: bedscale

esp8266:
  board: d1_mini

# Enable logging
logger:
  level: DEBUG

# Enable Home Assistant API
api:
  password: ""

ota:
  password: ""
  platform: esphome

wifi:
  ssid: "ItHurtsWhenIP"
  password: "BKl@3660"
  manual_ip:
    # Set this to the IP of the ESP
    static_ip: 10.1.0.24
    # Set this to the IP address of the router. Often ends with .1
    gateway: 10.1.0.1
    # The subnet of the network. 255.255.255.0 works for most home networks.
    subnet: 255.255.255.0

  # Enable fallback hotspot (captive portal) in case wifi connection fails
  ap:
    ssid: "Bed-Scale Fallback Hotspot"
    password: "bINLLate9rIA"

captive_portal:

# Web server for calibration UI
web_server:
  port: 80
  include_internal: true

# Global variables for calibration
globals:
  - id: constant_weight
    type: float
    initial_value: "0.0"
  - id: use_calibrated
    type: bool
    initial_value: "false"
  - id: cal_raw1
    type: float
    initial_value: "2290200.0"
  - id: cal_value1
    type: float
    initial_value: "0.0"
  - id: cal_raw2
    type: float
    initial_value: "2856500.0"
  - id: cal_value2
    type: float
    initial_value: "50.0"

# Number inputs for calibration values
number:
  - platform: template
    name: "Calibration Raw Value 1"
    id: cal_raw1_input
    min_value: 0
    max_value: 10000000
    step: 1
    mode: box
    optimistic: true
    initial_value: 2290200
    on_value:
      - lambda: |-
          id(cal_raw1) = x;

  - platform: template
    name: "Calibration Calibrated Value 1"
    id: cal_value1_input
    min_value: -1000
    max_value: 1000
    step: 0.1
    mode: box
    optimistic: true
    initial_value: 0
    on_value:
      - lambda: |-
          id(cal_value1) = x;

  - platform: template
    name: "Calibration Raw Value 2"
    id: cal_raw2_input
    min_value: 0
    max_value: 10000000
    step: 1
    mode: box
    optimistic: true
    initial_value: 2856500
    on_value:
      - lambda: |-
          id(cal_raw2) = x;

  - platform: template
    name: "Calibration Calibrated Value 2"
    id: cal_value2_input
    min_value: -1000
    max_value: 1000
    step: 0.1
    mode: box
    optimistic: true
    initial_value: 50
    on_value:
      - lambda: |-
          id(cal_value2) = x;

# Switch to toggle between raw and calibrated output
switch:
  - platform: template
    name: "Use Calibrated Output"
    id: use_calibrated_switch
    optimistic: true
    restore_mode: RESTORE_DEFAULT_ON
    lambda: |-
      return id(use_calibrated);
    turn_on_action:
      - lambda: |-
          id(use_calibrated) = true;
    turn_off_action:
      - lambda: |-
          id(use_calibrated) = false;

sensor:
  # Raw HX711 sensor
  - platform: hx711
    id: bed_raw
    internal: true
    dout_pin: D4
    clk_pin: D3
    update_interval: 3s
    gain: 128

  # Display raw value
  - platform: template
    name: "HX711 Raw Value"
    id: hx711_raw_display
    update_interval: 3s
    lambda: "return id(bed_raw).state;"

  # Calibrated sensor using template with dynamic calibration
  - platform: template
    name: "Bedscale Calibrated"
    id: bed_calibrated
    icon: mdi:weight-kilogram
    update_interval: 3s
    unit_of_measurement: kg
    accuracy_decimals: 2
    lambda: |-
      float raw = id(bed_raw).state;
      float raw1 = id(cal_raw1);
      float value1 = id(cal_value1);
      float raw2 = id(cal_raw2);
      float value2 = id(cal_value2);

      // Linear calibration: y = m*x + b
      // m = (value2 - value1) / (raw2 - raw1)
      // b = value1 - m * raw1
      float m = (raw2 - raw1) != 0.0 ? (value2 - value1) / (raw2 - raw1) : 0.0;
      float b = value1 - m * raw1;
      float calibrated = m * raw + b;

      return calibrated;
    on_value:
      - if:
          condition:
            - lambda: |-
                static float last = 0.0;
                float diff = x - last;
                last = x;
                return x < 10.0 && diff < 1.0 && diff > - 1.0;
          then:
            - lambda: "id(constant_weight) = x;"

  # Final output sensor that switches between raw and calibrated
  - platform: template
    name: "Bedscale"
    icon: mdi:weight-kilogram
    update_interval: 3s
    unit_of_measurement: kg
    accuracy_decimals: 2
    lambda: |-
      if (id(use_calibrated)) {
        float calibrated = id(bed_calibrated).state;
        float adjusted = calibrated - id(constant_weight);
        return adjusted >= 10.0 ? adjusted : 0.0;
      } else {
        return NAN;
      }
    filters:
      - delta: 0.5