gistfile1.txt

esphome:
  name: esp_tdisplay
  platform: ESP32
  board: featheresp32

wifi:
  ssid: "some ssid"
  password: "wifipassword"

  # Enable fallback hotspot (captive portal) in case wifi connection fails
  ap:
    ssid: "fallback"
    password: "even better"

captive_portal:

# Enable logging
logger:

# Enable Home Assistant API
api:
  password: "something..."

ota:
  password: "morestuff"

color:
  - id: my_red
    red: 100%
    green: 0%
    blue: 0%
  - id: my_yellow
    red: 100%
    green: 100%
    blue: 0%
  - id: my_green
    red: 0%
    green: 100%
    blue: 0%
  - id: my_blue
    red: 0%
    green: 0%
    blue: 100%
  - id: my_gray
    red: 50%
    green: 50%
    blue: 50%

font:
  - file: "Helvetica.ttf"
    id: helvetica_48
    size: 48
  - file: "Helvetica.ttf"
    id: helvetica_24
    size: 24
  - file: "Helvetica.ttf"
    id: helvetica_12
    size: 12

binary_sensor:
  - platform: status
    name: "Node Status"
    id: system_status
  - platform: gpio
    pin:
      number: GPIO0
      inverted: true
    name: "T-Display Button Input 0"
    id: tdisplay_button_input_0
  - platform: gpio
    pin:
      number: GPIO35
      inverted: true
    name: "T-Display Button Input 1"
    id: tdisplay_button_input_1

# We can still control the backlight independently
switch:
  - platform: gpio
    pin: GPIO4
    name: "Backlight"
    id: backlight

#image:
#  - file: "mashi-256.jpg"
#    id: my_image
#    resize: 200x200
#    type: RGB24

time:
  - platform: homeassistant
    id: esptime
    timezone: America/Los_Angeles

spi:
  clk_pin: GPIO18
  mosi_pin: GPIO19

display:
  - platform: st7789v
    backlight_pin: GPIO4
    cs_pin: GPIO5
    dc_pin: GPIO16
    reset_pin: GPIO23
    update_interval: 1s
    rotation: 270
    lambda: |-
      it.rectangle(0,  0, it.get_width(), it.get_height(), id(my_blue));
      it.rectangle(0, 20, it.get_width(), it.get_height(), id(my_blue));   // header bar

      //it.strftime((240 / 2), (140 / 3) * 1 + 5, id(helvetica_24), id(my_gray), TextAlign::CENTER, "%Y-%m-%d", id(esptime).now());
      //it.strftime((240 / 2), (140 / 3) * 2 + 5, id(helvetica_48), id(my_gray), TextAlign::CENTER, "%H:%M:%S", id(esptime).now());
      //it.strftime((240 / 2), (140 / 3) * 1 + 5, id(helvetica_24), id(my_gray), TextAlign::CENTER, "%H:%M:%S", id(esptime).now());
      
      it.print(5, 25, id(helvetica_24), id(my_yellow), TextAlign::TOP_LEFT, "Air Quality Index");

      it.print(5,    60, id(helvetica_48), id(my_gray),   TextAlign::TOP_LEFT,  "PM2.5:");
      it.printf(235, 60, id(helvetica_48), id(my_yellow), TextAlign::TOP_RIGHT, "%0.0f", id(pm_2_5_aqi).state);

      //it.print(5, 5, id(helvetica_12), id(my_yellow), TextAlign::TOP_LEFT, "ESPHome");
      it.strftime(5, 5, id(helvetica_12), id(my_yellow), TextAlign::TOP_LEFT, "%H:%M:%S", id(esptime).now());


      // Comment out the above lines to see the image without text overlaid
      //it.image(0, 0, id(my_image));

      if (id(system_status).state) {
        it.print(235, 5, id(helvetica_12), id(my_green), TextAlign::TOP_RIGHT, "Online");
      }
      else {
        it.print(235, 5, id(helvetica_12), id(my_red), TextAlign::TOP_RIGHT, "Offline");
      }

# Particulate matter configuration entry
uart:
  rx_pin: GPIO27
  baud_rate: 9600

sensor:
  - platform: pmsx003
    id: pmsa003
    type: PMSX003
    pm_1_0:
      id: pm_1_0
      name: "Particulate Matter <1.0µm Concentration"
    pm_2_5:
      id: pm_2_5
      name: "Particulate Matter <2.5µm Concentration"
      on_value:
        lambda: |-
          // https://en.wikipedia.org/wiki/Air_quality_index#Computing_the_AQI
          if (id(pm_2_5).state < 12.0) {
            // good
            id(pm_2_5_aqi).publish_state((50.0 - 0.0) / (12.0 - 0.0) * (id(pm_2_5).state - 0.0) + 0.0);
          } else if (id(pm_2_5).state < 35.4) {
            // moderate
            id(pm_2_5_aqi).publish_state((100.0 - 51.0) / (35.4 - 12.1) * (id(pm_2_5).state - 12.1) + 51.0);
          } else if (id(pm_2_5).state < 55.4) {
            // usg
            id(pm_2_5_aqi).publish_state((150.0 - 101.0) / (55.4 - 35.5) * (id(pm_2_5).state - 35.5) + 101.0);
          } else if (id(pm_2_5).state < 150.4) {
            // unhealthy
            id(pm_2_5_aqi).publish_state((200.0 - 151.0) / (150.4 - 55.5) * (id(pm_2_5).state - 55.5) + 151.0);
          } else if (id(pm_2_5).state < 150.4) {
            // very unhealthy
            id(pm_2_5_aqi).publish_state((300.0 - 201.0) / (250.4 - 150.5) * (id(pm_2_5).state - 150.5) + 201.0);
          } else if (id(pm_2_5).state < 250.4) {
            // hazardous
            id(pm_2_5_aqi).publish_state((400.0 - 301.0) / (350.4 - 250.5) * (id(pm_2_5).state - 250.5) + 301.0);
          } else if (id(pm_2_5).state < 500.4) {
            // hazardous 2
            id(pm_2_5_aqi).publish_state((500.0 - 401.0) / (500.4 - 350.5) * (id(pm_2_5).state - 350.5) + 401.0);
          }
    pm_10_0:
      id: pm_10
      name: "Particulate Matter <10.0µm Concentration"

  - platform: template
    name: "PM2.5 AQI"
    unit_of_measurement: "AQI"
    icon: "mdi:air-filter"
    accuracy_decimals: 0
    id: pm_2_5_aqi