Madelena Mak
3 years ago
parent
fcf037045c
commit
a4e5bb224f
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sensor:
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# Look up train arrival times using the GTFS_RT custom component (https://github.com/zacs/ha-gtfs-rt).
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# You need to get your own MTA API Key, and also look up the stopID of your station at: https://transitfeeds.com/p/mta/79/latest/stops
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# Alternatively, you can also use the GoodService.io API:
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# https://www.goodservice.io/api/stops/<stop_id>
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- platform: gtfs_rt
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trip_update_url: "https://api-endpoint.mta.info/Dataservice/mtagtfsfeeds/nyct%2Fgtfs-l"
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x_api_key: ENTER_YOUR_OWN_API_KEY
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scan_interval: 60
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entity_namespace: gtfs_mta_subway
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departures:
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- name: "Station (Northbound)"
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route: "X"
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stopid: "X00N"
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- name: "Station (Southboard)"
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route: "X"
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stopid: "X00S"
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# Get train service status from Goodservice.io
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- platform: rest
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resource: https://www.goodservice.io/api/routes/L
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method: GET
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scan_interval: 300
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name: "MTA Subway L Service Status"
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value_template: "{{ value_json.status }}"
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json_attributes:
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- "color"
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- "service_change_summaries"
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- "direction_statuses"
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- "delay_summaries"
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- "service_irregularity_summaries"
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- "service_changes"
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# Bundle up all the data to send over to Weatherman.
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template:
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- trigger:
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platform: time_pattern
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minutes: "/1"
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sensor:
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- name: Weatherman Data
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state: "OK"
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attributes:
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train_status: >
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{{ states('sensor.mta_subway_l_service_status') | upper }}
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train_status_manhattan: >
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{{ state_attr('sensor.mta_subway_l_service_status', 'direction_statuses').north | upper }}
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train_status_canarsie: >
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{{ state_attr('sensor.mta_subway_l_service_status', 'direction_statuses').south | upper }}
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weather_condition_now: >
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{{ states('weather.hourly') }}
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weather_condition_0: >
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{{ state_attr('weather.hourly', 'forecast')[0].condition }}
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weather_temperature_0: >
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{{ state_attr('weather.hourly', 'forecast')[0].temperature | round }}
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weather_timestamp_0: >
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{{ as_timestamp(state_attr('weather.hourly', 'forecast')[0].datetime) | timestamp_custom('%I') | int }} {{ as_timestamp(state_attr('weather.hourly', 'forecast')[0].datetime) | timestamp_custom('%p') }}
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weather_condition_1: >
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{{ state_attr('weather.hourly', 'forecast')[1].condition }}
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weather_temperature_1: >
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{{ state_attr('weather.hourly', 'forecast')[1].temperature | round }}
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weather_timestamp_1: >
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{{ as_timestamp(state_attr('weather.hourly', 'forecast')[1].datetime) | timestamp_custom('%I') | int }} {{ as_timestamp(state_attr('weather.hourly', 'forecast')[1].datetime) | timestamp_custom('%p') }}
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weather_condition_2: >
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{{ state_attr('weather.hourly', 'forecast')[2].condition }}
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weather_temperature_2: >
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{{ state_attr('weather.hourly', 'forecast')[2].temperature | round }}
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weather_timestamp_2: >
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{{ as_timestamp(state_attr('weather.hourly', 'forecast')[2].datetime) | timestamp_custom('%I') | int }} {{ as_timestamp(state_attr('weather.hourly', 'forecast')[2].datetime) | timestamp_custom('%p') }}
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weather_condition_3: >
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{{ state_attr('weather.hourly', 'forecast')[3].condition }}
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weather_temperature_3: >
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{{ state_attr('weather.hourly', 'forecast')[3].temperature | round }}
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weather_timestamp_3: >
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{{ as_timestamp(state_attr('weather.hourly', 'forecast')[3].datetime) | timestamp_custom('%I') | int }} {{ as_timestamp(state_attr('weather.hourly', 'forecast')[3].datetime) | timestamp_custom('%p') }}
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@ -0,0 +1,338 @@
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# WEATHERMAN DASHBOARD
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# For Home Assistant and ESPHome
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# Designed by Madelena Mak 2022 - https://mmak.es
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# Cue "Blame it on the Weatherman" by B*Witched!
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esphome:
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name: "weatherman"
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esp32:
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board: esp32dev
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framework:
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type: arduino
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# Enable logging
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logger:
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# Enable Home Assistant API
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api:
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ota:
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wifi:
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ssid: !secret wifi_ssid
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password: !secret wifi_password
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# Enable fallback hotspot (captive portal) in case wifi connection fails
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ap:
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ssid: "Esphome-Web-901078"
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password: "2JOrpBYEHQsV"
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# Include custom fonts
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font:
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- file: 'fonts/GothamRnd-Book.ttf'
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id: font_small_book
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size: 18
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- file: 'fonts/GothamRnd-Bold.ttf'
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id: font_large_bold
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size: 108
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glyphs: [' ', '°', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'C']
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- file: 'fonts/GothamRnd-Bold.ttf'
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id: font_medium_bold
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size: 30
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# glyphs: [' ', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'M', 'I', 'N']
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- file: 'fonts/GothamRnd-Bold.ttf'
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id: font_small_bold
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size: 18
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# glyphs: ['°', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'C', 'M', 'I', 'N']
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# Include Material Design Icons font
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# Thanks to https://community.home-assistant.io/t/display-materialdesign-icons-on-esphome-attached-to-screen/199790/16
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- file: 'fonts/materialdesignicons-webfont.ttf'
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id: font_mdi_large
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size: 96
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glyphs: &mdi-weather-glyphs
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- "\U000F0590" # mdi-weather-cloudy
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- "\U000F0F2F" # mdi-weather-cloudy-alert
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- "\U000F0E6E" # mdi-weather-cloudy-arrow-right
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- "\U000F0591" # mdi-weather-fog
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- "\U000F0592" # mdi-weather-hail
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- "\U000F0F30" # mdi-weather-hazy
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- "\U000F0898" # mdi-weather-hurricane
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- "\U000F0593" # mdi-weather-lightning
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- "\U000F067E" # mdi-weather-lightning-rainy
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- "\U000F0594" # mdi-weather-night
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- "\U000F0F31" # mdi-weather-night-partly-cloudy
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- "\U000F0595" # mdi-weather-partly-cloudy
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- "\U000F0F32" # mdi-weather-partly-lightning
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- "\U000F0F33" # mdi-weather-partly-rainy
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- "\U000F0F34" # mdi-weather-partly-snowy
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- "\U000F0F35" # mdi-weather-partly-snowy-rainy
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- "\U000F0596" # mdi-weather-pouring
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- "\U000F0597" # mdi-weather-rainy
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- "\U000F0598" # mdi-weather-snowy
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- "\U000F0F36" # mdi-weather-snowy-heavy
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- "\U000F067F" # mdi-weather-snowy-rainy
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- "\U000F0599" # mdi-weather-sunny
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- "\U000F0F37" # mdi-weather-sunny-alert
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- "\U000F14E4" # mdi-weather-sunny-off
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- "\U000F059A" # mdi-weather-sunset
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- "\U000F059B" # mdi-weather-sunset-down
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- "\U000F059C" # mdi-weather-sunset-up
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- "\U000F0F38" # mdi-weather-tornado
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- "\U000F059D" # mdi-weather-windy
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- "\U000F059E" # mdi-weather-windy-variant
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- file: 'fonts/materialdesignicons-webfont.ttf'
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id: font_mdi_medium
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size: 36
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glyphs: *mdi-weather-glyphs
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# Include Custom Titles
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image:
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- file: "images/weatherman-title-train.png"
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id: title_train
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type: BINARY
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- file: "images/weatherman-title-weather.png"
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id: title_weather
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type: BINARY
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# Call Subway and Weather sensors from HA
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sensor:
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- platform: homeassistant
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entity_id: sensor.gtfs_mta_subway_manhattan
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id: train_manhattan_due_in
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- platform: homeassistant
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entity_id: sensor.gtfs_mta_subway_canarsie
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id: train_canarsie_due_in
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- platform: homeassistant
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entity_id: sensor.gtfs_mta_subway_manhattan
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attribute: Next bus due in
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id: train_manhattan_next_train_due_in
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- platform: homeassistant
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entity_id: sensor.gtfs_mta_subway_canarsie
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attribute: Next bus due in
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id: train_canarsie_next_train_due_in
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- platform: homeassistant
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entity_id: weather.hourly
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attribute: temperature
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id: weather_temperature
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: weather_temperature_0
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id: weather_temperature_0
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: weather_temperature_1
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id: weather_temperature_1
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: weather_temperature_2
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id: weather_temperature_2
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: weather_temperature_3
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id: weather_temperature_3
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- platform: wifi_signal
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name: "WiFi Signal Sensor"
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id: wifisignal
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update_interval: 60s
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text_sensor:
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- platform: homeassistant
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entity_id: sensor.gtfs_mta_subway_manhattan
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attribute: Due at
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id: train_manhattan_due_at
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- platform: homeassistant
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entity_id: sensor.gtfs_mta_subway_canarsie
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attribute: Due at
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id: train_canarsie_due_at
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- platform: homeassistant
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entity_id: sensor.gtfs_mta_subway_manhattan
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attribute: Next bus
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id: train_manhattan_next_train_due_at
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- platform: homeassistant
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entity_id: sensor.gtfs_mta_subway_canarsie
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attribute: Next bus
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id: train_canarsie_next_train_due_at
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- platform: homeassistant
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entity_id: sensor.mta_subway_l_service_status
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id: train_service_status
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- platform: homeassistant
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entity_id: weather.hourly
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id: weather_state
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: weather_condition_now
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id: weather_condition_now
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: weather_condition_0
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id: weather_condition_0
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: weather_timestamp_0
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id: weather_timestamp_0
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: weather_condition_1
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id: weather_condition_1
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: weather_timestamp_1
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id: weather_timestamp_1
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: weather_condition_2
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id: weather_condition_2
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: weather_timestamp_2
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id: weather_timestamp_2
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: weather_condition_3
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id: weather_condition_3
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: weather_timestamp_3
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id: weather_timestamp_3
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: train_status
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id: train_status
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: train_status_manhattan
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id: train_status_manhattan
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- platform: homeassistant
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entity_id: sensor.weatherman_data
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attribute: train_status_canarsie
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id: train_status_canarsie
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# Define colors
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# This design is white on black so this is necessary.
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color:
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- id: color_black
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red: 0%
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green: 0%
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blue: 0%
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white: 50%
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- id: color_white
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red: 0%
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green: 0%
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blue: 0%
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white: 0%
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# Pins for Waveshare ePaper ESP Board
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spi:
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clk_pin: GPIO13
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mosi_pin: GPIO14
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# Now render everything on the ePaper screen.
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display:
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- platform: waveshare_epaper
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cs_pin: GPIO15
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dc_pin: GPIO27
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busy_pin: GPIO25
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reset_pin: GPIO26
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model: 7.50inV2
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update_interval: 1min
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rotation: 90°
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lambda: |-
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// Map weather states to MDI characters.
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std::map<std::string, std::string> weather_icon_map
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{
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{"cloudy", "\U000F0590"},
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{"cloudy-alert", "\U000F0F2F"},
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{"cloudy-arrow-right", "\U000F0E6E"},
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{"fog", "\U000F0591"},
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{"hail", "\U000F0592"},
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{"hazy", "\U000F0F30"},
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{"hurricane", "\U000F0898"},
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{"lightning", "\U000F0593"},
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{"lightning-rainy", "\U000F067E"},
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{"night", "\U000F0594"},
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{"night-partly-cloudy", "\U000F0F31"},
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{"partlycloudy", "\U000F0595"},
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{"partly-lightning", "\U000F0F32"},
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{"partly-rainy", "\U000F0F33"},
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{"partly-snowy", "\U000F0F34"},
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{"partly-snowy-rainy", "\U000F0F35"},
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{"pouring", "\U000F0596"},
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{"rainy", "\U000F0597"},
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{"snowy", "\U000F0598"},
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{"snowy-heavy", "\U000F0F36"},
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{"snowy-rainy", "\U000F067F"},
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{"sunny", "\U000F0599"},
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{"sunny-alert", "\U000F0F37"},
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{"sunny-off", "\U000F14E4"},
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{"sunset", "\U000F059A"},
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{"sunset-down", "\U000F059B"},
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{"sunset-up", "\U000F059C"},
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{"tornado", "\U000F0F38"},
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{"windy", "\U000F059D"},
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{"windy-variant", "\U000F059E"},
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};
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// Fill background in black.
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it.fill(color_black);
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// Weather Section
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it.image(0, 88, id(title_weather));
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it.printf(100, 158, id(font_mdi_large), color_white, TextAlign::TOP_CENTER, "%s", weather_icon_map[id(weather_condition_now).state.c_str()].c_str());
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it.printf(300, 158, id(font_large_bold), color_white, TextAlign::TOP_CENTER, "%2.0f°C", id(weather_temperature).state);
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it.printf(105, 282, id(font_small_book), color_white, TextAlign::TOP_CENTER, "%s", id(weather_timestamp_0).state.c_str());
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it.printf(105, 306, id(font_mdi_medium), color_white, TextAlign::TOP_CENTER, "%s", weather_icon_map[id(weather_condition_0).state.c_str()].c_str());
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it.printf(105, 354, id(font_small_bold), color_white, TextAlign::TOP_CENTER, "%2.0f°C", id(weather_temperature_0).state);
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it.printf(195, 282, id(font_small_book), color_white, TextAlign::TOP_CENTER, "%s", id(weather_timestamp_1).state.c_str());
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it.printf(195, 306, id(font_mdi_medium), color_white, TextAlign::TOP_CENTER, "%s", weather_icon_map[id(weather_condition_1).state.c_str()].c_str());
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it.printf(195, 354, id(font_small_bold), color_white, TextAlign::TOP_CENTER, "%2.0f°C", id(weather_temperature_1).state);
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it.printf(285, 282, id(font_small_book), color_white, TextAlign::TOP_CENTER, "%s", id(weather_timestamp_2).state.c_str());
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it.printf(285, 306, id(font_mdi_medium), color_white, TextAlign::TOP_CENTER, "%s", weather_icon_map[id(weather_condition_2).state.c_str()].c_str());
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it.printf(285, 354, id(font_small_bold), color_white, TextAlign::TOP_CENTER, "%2.0f°C", id(weather_temperature_2).state);
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it.printf(375, 282, id(font_small_book), color_white, TextAlign::TOP_CENTER, "%s", id(weather_timestamp_3).state.c_str());
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it.printf(375, 306, id(font_mdi_medium), color_white, TextAlign::TOP_CENTER, "%s", weather_icon_map[id(weather_condition_3).state.c_str()].c_str());
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it.printf(375, 354, id(font_small_bold), color_white, TextAlign::TOP_CENTER, "%2.0f°C", id(weather_temperature_3).state);
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// Train Service Section
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it.image(0, 420, id(title_train));
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it.printf(240, 480, id(font_medium_bold), color_white, TextAlign::TOP_CENTER, "%s", id(train_status).state.c_str());
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it.print(150, 536, id(font_small_bold), color_white, TextAlign::TOP_CENTER, "TO MANHATTAN");
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it.print(330, 536, id(font_small_bold), color_white, TextAlign::TOP_CENTER, "TO CANARSIE");
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it.printf(150, 576, id(font_medium_bold), color_white, TextAlign::TOP_CENTER, "%2.0f MIN", id(train_manhattan_due_in).state);
|
||||
it.printf(330, 576, id(font_medium_bold), color_white, TextAlign::TOP_CENTER, "%2.0f MIN", id(train_canarsie_due_in).state);
|
||||
it.printf(150, 608, id(font_small_book), color_white, TextAlign::TOP_CENTER, "%s", id(train_manhattan_due_at).state.c_str());
|
||||
it.printf(330, 608, id(font_small_book), color_white, TextAlign::TOP_CENTER, "%s", id(train_manhattan_due_at).state.c_str());
|
||||
|
||||
it.printf(150, 652, id(font_medium_bold), color_white, TextAlign::TOP_CENTER, "%2.0f MIN", id(train_manhattan_next_train_due_in).state);
|
||||
it.printf(330, 652, id(font_medium_bold), color_white, TextAlign::TOP_CENTER, "%2.0f MIN", id(train_canarsie_next_train_due_in).state);
|
||||
it.printf(150, 684, id(font_small_book), color_white, TextAlign::TOP_CENTER, "%s", id(train_manhattan_next_train_due_at).state.c_str());
|
||||
it.printf(330, 684, id(font_small_book), color_white, TextAlign::TOP_CENTER, "%s", id(train_canarsie_next_train_due_at).state.c_str());
|
||||
|
||||
captive_portal:
|
||||
Loading…
Reference in new issue