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Author SHA1 Message Date
Israel Figueroa 82203db513 fixes 2024-03-27 19:11:25 -03:00
ifiguero 50a47d0f95 instrucciones 2024-02-19 17:23:38 -03:00
ifiguero a18c5c1784 makeitwork 2024-02-19 17:12:49 -03:00
AlonsoDiCandia 54daec5249 Generate poster using 2 buses more nearly of the bus stop 2024-01-24 23:06:02 -03:00
diegoalrv 371da77fb0 Merge branch 'pr/3' 2024-01-24 21:33:18 -03:00
AlonsoDiCandia d046c06db9 Fix paths in autorun 2023-12-28 15:18:37 -03:00
AlonsoDiCandia 53dcd69f16 Cleaning project and using Paradero class to get bus data 2023-12-28 15:00:03 -03:00
Diego Ramirez 713370b162
Merge pull request #4 from chmancilla/master
Pantalla LED + API (beta)
2023-12-27 12:13:31 -03:00
Christopher Mancilla b164e07476
Update autorun.sh 2023-12-26 13:41:52 -03:00
Christopher Mancilla 5309589a5c
Update autorun.sh 2023-12-26 13:41:28 -03:00
Christopher Mancilla 8d77225bee
Add files via upload 2023-12-26 13:40:39 -03:00
Christopher Mancilla 0d9f958762
Add files via upload 2023-12-26 13:34:26 -03:00
diegoalrv c78b5e1251 added image reescaler 2023-12-18 22:58:50 -03:00
Alonso Diaz Candia b66bd8fe0c Scripts de instalacion y primera ejecucion 2023-12-06 14:49:17 +00:00
chmancilla 659738a0c2
Update README.md 2023-11-29 17:00:10 -03:00
chmancilla bd3c37837a
Update README.md 2023-11-29 16:59:54 -03:00
chmancilla bf6d58d554
Update README.md 2023-11-29 16:58:50 -03:00
chmancilla 3721fe4e8f
Update README.md 2023-11-29 16:48:42 -03:00
chmancilla 9f728916b4
Update README.md 2023-11-29 16:48:22 -03:00
Israel de0c1ffb90
Update README.md 2023-11-29 13:57:21 -03:00
ifiguero b136bd23f4 instrucciones 2023-11-29 13:27:23 -03:00
ifiguero 2ae2b33d08 Subsistema de video 2023-11-29 13:25:29 -03:00
chmancilla af28113bf0
Update README.md 2023-11-27 21:00:02 -03:00
diegoalrv b04bbe8bf5 update example/poster.png 2023-11-22 22:43:05 -03:00
diegoalrv 0493e8dc7e update example/poster.png 2023-11-22 22:39:08 -03:00
diegoalrv 8384e4f96a update README.md 2023-11-22 22:25:21 -03:00
diegoalrv b84f990abc update README.md 2023-11-22 22:22:04 -03:00
diegoalrv f0a90c5bbf added flow-chart 2023-11-22 22:21:20 -03:00
diegoalrv 1f8e5ceee9 added flow-chart 2023-11-22 22:19:19 -03:00
diegoalrv f7ba70c96f update main README.md 2023-11-22 22:13:37 -03:00
diegoalrv d904392df9 update repo files distribution 2023-11-22 22:07:19 -03:00
diegoalrv 6ebcd057c6 update README.md 2023-11-22 22:01:29 -03:00
diegoalrv f845b5bba9 update README.md 2023-11-22 22:01:00 -03:00
diegoalrv 350464e9b2 update README.md 2023-11-22 21:57:07 -03:00
diegoalrv bc21d403af Merge branch 'master' of github.com:diegoalrv/pantallas-led 2023-11-22 21:50:45 -03:00
diegoalrv e044cf37e3 update README.md 2023-11-22 21:49:18 -03:00
chmancilla c26d426dd0
Update README.md 2023-11-22 21:18:48 -03:00
chmancilla 3ab15451ec
Update README.md 2023-11-22 19:33:25 -03:00
chmancilla 81ed1aeb72
Update README.md 2023-11-22 18:31:56 -03:00
chmancilla 03f3189c53
Update README.md 2023-11-22 18:09:33 -03:00
chmancilla af52a2c778
Update README.md 2023-11-22 17:10:44 -03:00
chmancilla 53adb29754
Update README.md 2023-11-21 12:27:44 -03:00
chmancilla 1a805479f5
Update README.md 2023-11-20 20:10:38 -03:00
chmancilla c092a8647c
Update README.md 2023-11-20 20:09:07 -03:00
chmancilla 6bbcb99272
Update README.md 2023-11-20 00:39:32 -03:00
chmancilla 13f3f98f18
Update README.md 2023-11-20 00:38:26 -03:00
chmancilla 989e838fd8
Create README.md 2023-11-14 15:38:32 -03:00
Diego Ramirez 450f263793
Merge pull request #2 from diegoalrv/modulo-led
added modulo-led @ pantallas-led
2023-11-13 19:26:22 -03:00
chmancilla c17b69403d added modulo-led @ pantallas-led 2023-11-13 19:23:52 -03:00
diegoalrv b1418985f7 update container format, now it runs the process to create bus poster and then it delete automatically 2023-11-12 19:54:52 -03:00
diegoalrv 1261cadadb update .gitignore 2023-11-12 18:32:25 -03:00
diegoalrv 219460bd21 update gitignore 2023-11-12 18:22:13 -03:00
diegoalrv ba2770584b create app.py and update gitignore 2023-11-12 16:21:10 -03:00
diegoalrv a776b75302 update bus poster in order to fit in 2x1 configuration 2023-11-02 00:23:57 -03:00
Diego Ramirez 130e6462c4
Merge pull request #1 from diegoalrv/diego
Diego
2023-11-02 00:11:54 -03:00
90 changed files with 1279 additions and 276742 deletions

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data/*
data/
images
*pycache*

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# Usa una imagen base de Python
FROM python:3.8
# Establece el directorio de trabajo en el contenedor
WORKDIR /app
# Copia el archivo requirements.txt al contenedor
COPY requirements.txt requirements.txt
# Instala las dependencias
RUN pip install -r requirements.txt
# Copia el archivo de configuración de Jupyter
COPY jupyter_notebook_config.py /root/.jupyter/
# Expone el puerto 8888 para Jupyter Notebook
EXPOSE 8888
# Ejecuta Jupyter Notebook cuando el contenedor se inicie
CMD ["jupyter", "notebook", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root"]

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# Usa una imagen base de Python
FROM python:3.8
# Establece el directorio de trabajo en el contenedor
WORKDIR /app
# Copia el archivo requirements.txt al contenedor
COPY requirements.txt requirements.txt
COPY app.py app.py
# Instala las dependencias
RUN pip install -r requirements.txt --no-cache-dir
# Ejecuta app.py
CMD ["python", "app.py"]

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# Generación de Póster de Bus
En el directorio raiz del respositorio pasamos al carpeta:
```bash
cd GenPoster
```
## Construir la Imagen Docker
Primero, construye la imagen Docker que contiene todas las dependencias necesarias:
```bash
docker build -t bus_poster .
```
## Ejecutar el Contenedor Docker
Utiliza el script ```run_container.sh``` para ejecutar el contenedor. Este script monta las carpetas locales necesarias y inicia el contenedor. El contenedor se eliminará automáticamente después de su ejecución debido al parámetro ```--rm```.
```bash
./run_container.sh
```
Nota: Asegúrate de que el script ```run_container.sh``` tenga permisos de ejecución. Si no es así, ejecuta:
```bash
chmod +x run_container.sh
```
## Generación y Almacenamiento del Póster
Al ejecutar el contenedor, el script ```app.py``` se iniciará automáticamente y realizará lo siguiente:
- Calcula el tiempo restante hasta la llegada del autobús.
- Genera visualizaciones con los detalles del autobús y el tiempo restante.
- Guarda la imagen generada en una carpeta local mapeada al contenedor.
Por el momento esta funcionando con datos de prueba, eventualmente se usará como datos de entrada las respuestas del endpoint.
## Acceso a la Imagen Generada
La imagen del póster se guardará en la carpeta local especificada en el script ```run_container.sh```. Puedes acceder a ella directamente desde esta carpeta en tu máquina local.
## Ejemplo de Imagen Generada
Actualmente se están generando imagenes para alimentar un arreglo de pantallas P4 de 2x1, por lo tanto se ajustaron las dimensiones para esa configuración.
![Ejemplo de Poster](/GenPoster/example/poster.png)

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from scripts.Poster.MyDraw import MyDraw
from scripts.Poster.BusPoster import BusPoster
from scripts.Poster.TimeAnnouncement import TimeAnnouncement
import numpy as np
from datetime import datetime, timedelta
from import_data import export_data
from PIL import Image
import subprocess
from getData import Paradero
import os
import time
os.environ['TZ'] = 'America/Santiago'
time.tzset()
def reescalar_imagen(input_path, output_path, nuevo_ancho, nuevo_alto):
try:
# Abrir la imagen original
imagen = Image.open(input_path)
# Reescalar la imagen
imagen_redimensionada = imagen.resize((nuevo_ancho, nuevo_alto))
# Guardar la imagen redimensionada en el nuevo archivo
imagen_redimensionada.save(output_path)
# print("Imagen redimensionada y guardada con éxito en", output_path)
except:
import traceback
print(traceback.format_exc())
def aprox(n):
return int(np.round(n))
def approx_km(data):
distance_meters = data["distance"]
distance_km = distance_meters / 100 # Convert meters to kilometers
approx_km = int(np.round(distance_km)) # Take only the integer part of the distance in kilometers
approx_km = approx_km/10.0
return approx_km
def calc_remaining_time(data):
arrival_time = data["timeLabel"][:-3]
target_time = datetime.strptime(arrival_time, "%H:%M").time()
current_time = datetime.now().time()
if current_time < target_time:
remaining_time = datetime.combine(datetime.today(), target_time) - datetime.combine(datetime.today(), current_time)
else:
remaining_time = datetime.combine(datetime.today() + timedelta(days=1), target_time) - datetime.combine(datetime.today(), current_time)
remaining_minutes = int(remaining_time.total_seconds() // 60)
return remaining_minutes
def obtain_min_max_time(remaining_time):
if type(remaining_time) != int:
return "N/A", "N/A"
elif remaining_time == 1:
return 0, 1
elif remaining_time == 2:
return 1, 2
elif 2 <= remaining_time <= 5:
return 2, 5
elif remaining_time > 5 and remaining_time <= 7:
return 5, 7
elif remaining_time > 7 and remaining_time <= 10:
return 7, 10
else:
return 10, remaining_time
###################################################################
# Parametros para generar la imagen
# "direction": "R", Indicador de la dirección en la que va el bus
# "distance": 1948.575483806973. Distancia en m
# "licensePlate": "LJHA57", Patente del bus
# "route": "401", Linea de bus
# "timeLabel": "09:49", Hora de llegada al paradero
# theme: Tema de la pantalla "day/night"
# 'number_background_color': 'yellow', Color del fondo para el numero
# 'letter_background_color': 'green', Color del fondo para la letra
def main():
bus_stop = Paradero()
data = bus_stop.get_data()
if data is not None:
data1 = data[0]
data2 = data[1]
# print(data)
# Calcula el tiempo restante a la llegada
remaining_time1 = data1['timeRemaining']
remaining_time2 = data2['timeRemaining']
# Obtiene valores máximos y mínimo de rangos para desplegar en pantalla
min_time1, max_time1 = obtain_min_max_time(remaining_time1)
min_time2, max_time2 = obtain_min_max_time(remaining_time2)
ruta1 = data1['route']
direccion1 = data1['direction']
ruta2 = data2['route']
direccion2 = data2['direction']
else:
remaining_time1 = 'N/A'
remaining_time2 = 'N/A'
min_time1 = 'N/A'
min_time2 = 'N/A'
max_time1 = 'N/A'
max_time2 = 'N/A'
ruta1 = "00"
direccion1 = "X"
ruta2 = "99"
direccion2 = "Y"
# Selecciona el tema
theme = 'night'
# Alto y ancho de la imagen en pixeles
#height, width = 40, 160
height, width = 200, 800
# Inicia el dibujo y setea el tema
full_panel = MyDraw(height=height, width=width)
full_panel.set_theme(theme)
full_panel.start_draw()
# Agrega el anuncio de los minutos restante al arribo
time_anmc1 = TimeAnnouncement(aprox((2/5)*height), aprox((2/5)*width))
time_anmc1.set_theme(theme)
time_anmc1.start_draw()
# time_anmc1.set_background()
# time_anmc1.set_base_text()
time_anmc1.set_remaining_text(data[0]['timeRemaining'])
# Agrega el anuncio de los minutos restante al arribo
time_anmc2 = TimeAnnouncement(aprox((2/5)*height), aprox((2/5)*width))
time_anmc2.set_theme(theme)
time_anmc2.start_draw()
# time_anmc2.set_background()
# time_anmc2.set_base_text()
# time_anmc2.set_min_max_text(min_time=min_time2, max_time=max_time2)
time_anmc2.set_remaining_text(data[1]['timeRemaining'])
# Genera la imagen de la linea del bus
poster1 = BusPoster(aprox(1.1*(1/3)*height), aprox(1.1*(1/3)*width))
poster1.set_theme(theme)
poster1.start_draw()
bus_announcement_1 = {
'proportion': 0.6,
'width_border': 3,
# 'font_size': 11,
'font_size': 80,
'number_background_color': 'yellow',
'letter_background_color': data[0]['number_background_color'],
}
# Se setean los parametros
poster1.set_params(bus_announcement_1)
poster1.load_barlow()
poster1.set_colors()
# Se setea la ruta y la direccion en la que va
poster1.set_bus_number(bus_number=ruta1)
poster1.set_bus_letter(bus_letter=direccion1)
# Genera la imagen de la linea del bus
poster2 = BusPoster(aprox(1.1*(1/3)*height), aprox(1.1*(1/3)*width))
poster2.set_theme(theme)
poster2.start_draw()
bus_announcement_2 = {
'proportion': 0.6,
'width_border': 3,
# 'font_size': 11,
'font_size': 80,
'number_background_color': 'yellow',
'letter_background_color': data[1]['number_background_color'],
}
# Se setean los parametros
poster2.set_params(bus_announcement_2)
poster2.load_barlow()
poster2.set_colors()
# Se setea la ruta y la direccion en la que va
poster2.set_bus_number(bus_number=ruta2)
poster2.set_bus_letter(bus_letter=direccion2)
# Se agregan todas las imagenes al canvas
full_panel.add_image(time_anmc1, (aprox((0.55)*width), aprox(0.05*height)))
full_panel.add_image(time_anmc2, (aprox((0.55)*width), aprox(0.45*height)))
full_panel.add_image(poster1, (aprox((0.05)*width), aprox((0.1)*height)))
full_panel.add_image(poster2, (aprox((0.05)*width), aprox((0.5)*height)))
#full_panel.add_image(bm, (aprox(0.02*width),aprox((1/6)*height)))
full_panel.get_image()
full_panel.save_image('/srv/ledram/poster.png')
nuevo_alto = 40 # Reemplaza con el alto deseado en píxeles
nuevo_ancho = 160 # Reemplaza con el ancho deseado en píxeles
input_path = f'/srv/ledram/poster.png'
output_path = '/srv/ledram/next.png'
reescalar_imagen(input_path, output_path, nuevo_ancho, nuevo_alto)
subprocess.run(['cp', output_path, '/srv/ledram/current.png'])
from apscheduler.schedulers.blocking import BlockingScheduler
if __name__ == '__main__':
sched = BlockingScheduler()
sched.add_job(main, 'interval', seconds=15)
sched.start()

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#!/usr/bin/env python3
import requests
import pytz
from datetime import datetime, timedelta
class Paradero:
def __init__(self):
# Dispositivo
self.id = "panel-pruebas-2"
# Autentificación data
self.url_auth = 'https://gestion.tdt-dev.ilab.cl/api/auth/'
self.rut = "11111111-1"
self.password = "usuario1"
# Token obtenido luego del 'login'
self.token = self.__get_token()
# print(self.token)
# URL de la API para obtener los datos de los recorridos
self.url_getinfodevice = 'https://gestion.tdt-dev.ilab.cl/api/dispositivos/getInfoDevice/'
self.data = None
self.bus_list = []
self.servicios = ["12Q", "56O"]
def __get_token(self):
auth = '''{
"rut": "11111111-1",
"password": "usuario1"
}'''
response = requests.post(self.url_auth, data=auth)
# Estado de la respuesta
if response.status_code == 200:
return response.json()['token']
else:
# print(response)
return None
def get_data(self):
# Datos para la solicitud
data_getinfodevice = {
"GetInfoDevice": {
"idDispositivo": self.id,
"KeyAuthorizacion": "tokenSinUso" #Autentificacion de mentira sisisi
}
}
if self.token is not None:
#Aquí se ingresa el token obtenido anteriormente
headers_getinfodevice = {
'Authorization': f'Bearer {self.token}',
'Content-Type': 'application/json'
}
# Request
response = requests.post(self.url_getinfodevice, json=data_getinfodevice, headers=headers_getinfodevice)
self.data = self.__serialize_data(response)
return self.data
def __generate_bus_list(self, info):
data_main = {}
zona_horaria_santiago = pytz.timezone('America/Santiago')
hora_actual_santiago = datetime.now(zona_horaria_santiago).time()
for i in range(len(info["GetInfoDeviceResponse"]["DetalleLineas"])):
data = info["GetInfoDeviceResponse"]["DetalleLineas"][i]
if data["Descripcion"] not in self.servicios:
continue
bus_info = {}
if len(data['Llegadas']) > 0 and data["Llegadas"][0]["DistanciaGPS"] is not None:
bus_info["distance"] = data["Llegadas"][0]["DistanciaGPS"]
bus_info["timeLabel"] = data["Llegadas"][0]["EstimadaGPS"]
bus_info["patente"] = data["Llegadas"][0]["patente"]
bus_hour = datetime.strptime(bus_info["timeLabel"], "%H:%M:%S").time().hour if datetime.strptime(bus_info["timeLabel"], "%H:%M:%S").time().hour != 0 else 24
diff = timedelta(
hours = bus_hour - hora_actual_santiago.hour,
minutes = datetime.strptime(bus_info["timeLabel"], "%H:%M:%S").time().minute - hora_actual_santiago.minute,
seconds=datetime.strptime(bus_info["timeLabel"], "%H:%M:%S").time().second - hora_actual_santiago.second
)
# print(diff.total_seconds())
bus_info["timeLabel"] = "m"
if data['Llegadas'][0]['textoLlegada'].startswith("Entre"):
data['Llegadas'][0]['textoLlegada'] = data['Llegadas'][0]['textoLlegada'][5:]
cut = data['Llegadas'][0]['textoLlegada'].index("min")+3
bus_info["timeRemaining"] = data['Llegadas'][0]['textoLlegada'][:cut]
else:
bus_info["distance"] = "-"
bus_info["timeLabel"] = "Sin Info"
bus_info["timeRemaining"] = "Sin Dato"
bus_info["route"] = data["Descripcion"][:-1] if data["Descripcion"] is not None else "-"
bus_info["direction"] = data["Descripcion"][-1] if data["Descripcion"] is not None else "-"
bus_info["number_background_color"] = "#{}".format(data["colorFondo"])
bus_info["letter_background_color"] = "#{}".format(data["colorTexto"])
data_main[data["Descripcion"]] = bus_info
# data_main = sorted(data_main, key=lambda x: x['timeRemaining'])
salida = []
for servicio in self.servicios:
if servicio in data_main:
salida.append(data_main[servicio])
self.bus_list = salida
# for d in data_main:
# print(d['timeRemaining'], d['timeLabel'])
def __serialize_data(self, response):
data = response.json()
self.__generate_bus_list(data)
return self.bus_list

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#!/usr/bin/env python3
import requests
import json
from datetime import datetime, timedelta
def api_request():
# URL de la API para "autentificación"
url_auth = 'https://transporte.hz.kursor.cl/api/auth/'
# Datos para autentificar
auth = '''{
"username": "usuario1",
"password": "usuario1"
}'''
# Request
token = requests.post(url_auth, data=auth)
token = token.json()['token']
# URL de la API para info del paradero
url_whoami = 'https://transporte.hz.kursor.cl/api/dispositivos/whoami/'
# Datos de la solicitud
data_whoami = {
"whoami": {
"idDispositivo": "pled30-gtr",
"KeyAuthorizacion": "token"
}
}
#Aquí se ingresa el token obtenido anteriormente
headers_whoami = {
'Authorization': f'Bearer {token}',
'Content-Type': 'application/json'
}
response_whoami = requests.post(url_whoami, json=data_whoami, headers=headers_whoami) #Request
Paradero = response_whoami.json()
url_getinfodevice = 'https://transporte.hz.kursor.cl/api/dispositivos/getInfoDevice/' # URL de la API para obtener los datos de los recorridos
# Datos para la solicitud
data_getinfodevice = {
"GetInfoDevice": {
"idDispositivo": "00000000160f3b42b8:27:eb:0f:3b:42",
"KeyAuthorizacion": "tokenSinUso"
}
}
#Aquí se ingresa el token obtenido anteriormente
headers_getinfodevice = {
'Authorization': f'Bearer {token}',
'Content-Type': 'application/json'
}
# Request
response_getinfodevice = requests.post(url_getinfodevice, json=data_getinfodevice, headers=headers_getinfodevice)
info = response_getinfodevice.json()
return info
#--------------------------------------------------------------------------------------------------------------------------
#Haciendo una lista de todos los buses de este paradero
def lista_buses(info):
data_main = []
hora_actual = datetime.now().time()
for i in range(len(info["GetInfoDeviceResponse"]["DetalleLineas"])):
data = info["GetInfoDeviceResponse"]["DetalleLineas"][i]
bus_info = {}
bus_info["distance"] = data["Llegadas"][0]["DistanciaGPS"] if data["Llegadas"][0]["DistanciaGPS"] is not None else "-"
bus_info["timeLabel"] = data["Llegadas"][0]["EstimadaGPS"] if data["Llegadas"][0]["EstimadaGPS"] is not None else "-"
bus_info["route"] = data["Descripcion"][:-1] if data["Descripcion"] is not None else "-"
bus_info["direction"] = data["Descripcion"][-1] if data["Descripcion"] is not None else "-"
bus_info["number_background_color"] = data["colorFondo"]
bus_info["letter_background_color"] = data["colorTexto"]
bus_info["patente"] = data["Llegadas"][0]["patente"]
diff = timedelta(hours = datetime.strptime(bus_info["timeLabel"], "%H:%M:%S").time().hour - hora_actual.hour,minutes = datetime.strptime(bus_info["timeLabel"], "%H:%M:%S").time().minute - hora_actual.minute,seconds=datetime.strptime(bus_info["timeLabel"], "%H:%M:%S").time().second - hora_actual.second)
bus_info["timeRemaining"] = int(abs(diff.total_seconds() // 60))
data_main.append(bus_info)
return data_main
#--------------------------------------------------------------------------------------------------------------------------------
#Exportando datos
def export_data():
X = api_request()
data_main = lista_buses(X)
data_time = sorted(data_main, key=lambda x: x['timeRemaining'],reverse=True)
data_x = (data_time[0],data_time[1])
return data_x

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@ -0,0 +1,28 @@
#!/bin/bash
if [ "$EUID" -ne 0 ]; then
echo "Este script requiere permisos de root."
exit
fi
# set pwd to current directory
cd "$(dirname "$0")"
#limpia el contenido del directorio de trabajo
rm -rf /srv/parada*
mkdir /srv/parada_led
cp -rf *.py assets scripts /srv/parada_led
#Crea el servicio
cp -rf parada_led.service /etc/systemd/system/parada_led.service
# Recarga e inicia automaticamente al prender.
systemctl daemon-reload
systemctl unmask parada_led.service
systemctl enable parada_led.service
# Mensajes de salida
echo "Debe reiniciar la Raspberry para que el servicio pueda iniciarse"
echo "Luego para actualizar, solo debe modificar el el archivo '/srv/ledram/current.png' para actualizar la pantalla"

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@ -0,0 +1,12 @@
[Unit]
Description=WebService Datos Parada
After=local-fs.target
[Service]
User=root
WorkingDirectory=/srv/parada_led
ExecStart=/usr/bin/python3 /srv/parada_led/app.py
Restart=always
[Install]
WantedBy=multi-user.target

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@ -0,0 +1,5 @@
matplotlib
requests
Pillow
numpy
pytz

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@ -0,0 +1,11 @@
#!/bin/bash
# Rutas absolutas a las carpetas locales
project_folder_path=$(pwd)
data_path=$project_folder_path/data
scripts_path=$project_folder_path/scripts
assets_path=$project_folder_path/assets
# Ejecuta el contenedor con el enlace de carpeta local
# docker run --rm -d -p 8888:8888 --name make_poster -v $data_path:/app/data -v $assets_path:/app/assets -v $scripts_path:/app/scripts -v $project_folder_path:/app bus_poster
docker run --rm -d --name make_poster -v $project_folder_path:/app bus_poster

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@ -5,7 +5,7 @@ from PIL import ImageDraw, ImageFont
from PIL import Image, ImageDraw, ImageFont
import matplotlib.pyplot as plt
import numpy as np
from MyDraw import MyDraw
from .MyDraw import MyDraw
class BusPoster(MyDraw):
@ -37,10 +37,12 @@ class BusPoster(MyDraw):
def set_bus_number(self, bus_number="11"):
text_color = 'black'
width_border = self.prms['width_border']
# width_border = 0
text_bbox = self.font.getbbox(str(bus_number))
font_width, font_height = text_bbox[2] - text_bbox[0], text_bbox[3] - text_bbox[1]
offset_width = np.round((self.prms['proportion']*self.width-width_border)/2) - np.round(font_width/2)
text_position = (offset_width,0)
# offset_width = 0
text_position = (offset_width,-15)
self.draw.text(
text_position,
bus_number,
@ -57,7 +59,7 @@ class BusPoster(MyDraw):
text_bbox = self.font.getbbox(str(bus_letter))
font_width, font_height = text_bbox[2] - text_bbox[0], text_bbox[3] - text_bbox[1]
offset_width = np.round((proportion*self.width-width_border)) + 0.75*np.round(font_width/2)
text_position = (offset_width,0)
text_position = (1.1*offset_width,-15)
self.draw.text(
text_position,
bus_letter,

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@ -65,7 +65,8 @@ class MyDraw():
def load_barlow(self, font_size=None):
# Ruta a la fuente TTF personalizada
font_path = "/app/data/Barlow-Medium.ttf"
# font_path = "../../assets/fonts/Barlow-Medium.ttf"
font_path = "assets/fonts/Barlow-Medium.ttf"
# Carga la fuente
if font_size is None:
self.font = ImageFont.truetype(font_path, self.prms['font_size'])

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@ -5,7 +5,7 @@ from PIL import ImageDraw, ImageFont
from PIL import Image, ImageDraw, ImageFont
import matplotlib.pyplot as plt
import numpy as np
from MyDraw import MyDraw
from .MyDraw import MyDraw
class TimeAnnouncement(MyDraw):
@ -45,24 +45,49 @@ class TimeAnnouncement(MyDraw):
text = "Tiempo aprox"
text_color = self.theme_params['text_color']
self.load_barlow(font_size=11)
self.load_barlow(font_size=70)
text_bbox = self.font.getbbox(text)
base_font_width, base_font_height = text_bbox[2] - text_bbox[0], text_bbox[3] - text_bbox[1]
if (int(max_time) <= 1):
text = "< 1 min"
elif (int(min_time) >= 10):
text = "> 10 min"
else:
text = f'{min_time} a {max_time} min'
try:
if (int(max_time) <= 1):
text = "< 1 min"
elif (int(min_time) >= 10):
print(max_time)
text = f"> {max_time} min"
else:
text = f'{min_time} a {max_time} min'
except:
text = 'N/A'
self.load_barlow(font_size=18)
self.load_barlow(font_size=70)
text_bbox = self.font.getbbox(text)
font_width, font_height = text_bbox[2] - text_bbox[0], text_bbox[3] - text_bbox[1]
# print(font_width, font_height)
offset_width = (np.round((self.width-self.border)) - np.round(font_width))/2
offset_height = (np.round((self.height-self.border)) - np.round(base_font_height))/2
text_position = (offset_width,5+offset_height)
# text_position = (offset_width,5+offset_height)
text_position = (offset_width,offset_height-10)
# text_position = (0, 0)
self.draw.text(
text_position,
text,
fill=text_color,
font=self.font,
align ="center"
)
def set_remaining_text(self, text):
text_color = self.theme_params['text_color']
self.load_barlow(font_size=70)
text_bbox = self.font.getbbox(text)
font_width, font_height = text_bbox[2] - text_bbox[0], text_bbox[3] - text_bbox[1]
# print(font_width, font_height)
offset_width = (np.round((self.width-self.border)) - np.round(font_width))/2
offset_height = (np.round((self.height-self.border)) - np.round(font_height))/2
# text_position = (offset_width,5+offset_height)
text_position = (offset_width,offset_height-10)
# text_position = (0, 0)
self.draw.text(
text_position,

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@ -0,0 +1,195 @@
from MyDraw import MyDraw
from BusPoster import BusPoster
from TimeAnnouncement import TimeAnnouncement
from DistanceAnnouncement import DistanceAnnouncement
from BusPlate import BusPlate
from BusImage import BusImage
import numpy as np
from datetime import datetime, timedelta
def aprox(n):
return int(np.round(n))
def load_data():
data = {
"direction": "R",
"distance": 1948.575483806973,
"epochTime": 1674650956,
"latitude": -33.43729782104492,
"licensePlate": "LJHA57",
"longitude": -70.52730560302734,
"realtime": True,
"route": "401",
"routeId": "401",
"timeLabel": "09:49",
"tripId": "401-I-L-005"
}
return data
def approx_km(data):
distance_meters = data["distance"]
distance_km = distance_meters / 100 # Convert meters to kilometers
approx_km = int(np.round(distance_km)) # Take only the integer part of the distance in kilometers
approx_km = approx_km/10.0
return approx_km
def calc_remaining_time(data):
arrival_time = data["timeLabel"]
target_time = datetime.strptime(arrival_time, "%H:%M").time()
current_time = datetime.now().time()
if current_time < target_time:
remaining_time = datetime.combine(datetime.today(), target_time) - datetime.combine(datetime.today(), current_time)
else:
remaining_time = datetime.combine(datetime.today() + timedelta(days=1), target_time) - datetime.combine(datetime.today(), current_time)
remaining_minutes = int(remaining_time.total_seconds() // 60)
return remaining_minutes
def obtain_min_max_time(remaining_time):
if remaining_time == 1:
return 0, 1
elif remaining_time == 2:
return 1, 2
elif 2 <= remaining_time <= 5:
return 2, 5
elif remaining_time > 5 and remaining_time <= 7:
return 5, 7
elif remaining_time > 7 and remaining_time <= 10:
return 7, 10
else:
return 10, remaining_time
###################################################################
# Parametros para generar la imagen
# "direction": "R", Indicador de la dirección en la que va el bus
# "distance": 1948.575483806973. Distancia en m
# "licensePlate": "LJHA57", Patente del bus
# "route": "401", Linea de bus
# "timeLabel": "09:49", Hora de llegada al paradero
# theme: Tema de la pantalla "day/night"
# 'number_background_color': 'yellow', Color del fondo para el numero
# 'letter_background_color': 'green', Color del fondo para la letra
def main():
# Carga los datos
data = load_data()
# Calcula distancia aproximada en km
distance = approx_km(data)
# Calcula el tiempo restante a la llegada
remaining_time = calc_remaining_time(data)
# Obtiene valores máximos y mínimo de rangos para desplegar en pantalla
min_time, max_time = obtain_min_max_time(remaining_time)
# Selecciona el tema
theme = 'day'
# Alto y ancho de la imagen en pixeles
height, width = 40, 160
# Inicia el dibujo y setea el tema
full_panel = MyDraw(height=height, width=width)
full_panel.set_theme(theme)
full_panel.start_draw()
# full_panel.preview()
# Con el dato de la patente se agrega al dibujo
bp = BusPlate()
plate = data["licensePlate"]
bp.request_bus_plate(bus_plate=plate)
bp.generate_image()
bp.resize_image(target_height=aprox((3/10)*height))
# Agrega la distancia al paradero
dist_anmc = DistanceAnnouncement(aprox((2/5)*height), aprox((1/3)*width))
dist_anmc.set_theme(theme)
dist_anmc.start_draw()
# dist_anmc.set_background()
# dist_anmc.set_base_text()
dist_anmc.set_distance_text(distance=distance)
# Agrega el anuncio de los minutos restante al arribo
time_anmc1 = TimeAnnouncement(aprox((2/5)*height), aprox((1/3)*width))
time_anmc1.set_theme(theme)
time_anmc1.start_draw()
# time_anmc1.set_background()
# time_anmc1.set_base_text()
time_anmc1.set_min_max_text(min_time=min_time, max_time=max_time)
# Agrega el anuncio de los minutos restante al arribo
time_anmc2 = TimeAnnouncement(aprox((2/5)*height), aprox((1/3)*width))
time_anmc2.set_theme(theme)
time_anmc2.start_draw()
# time_anmc2.set_background()
# time_anmc2.set_base_text()
time_anmc2.set_min_max_text(min_time=3, max_time=5)
# Genera la imagen de la linea del bus
poster1 = BusPoster(aprox(1.1*(1/3)*height), aprox(1.1*(1/3)*width))
poster1.set_theme(theme)
poster1.start_draw()
poster_params = {
'proportion': 0.6,
'width_border': 2,
'font_size': 11,
'number_background_color': 'yellow',
'letter_background_color': 'green',
}
# Se setean los parametros
poster1.set_params(poster_params)
poster1.load_barlow()
poster1.set_colors()
# Se setea la ruta y la direccion en la que va
poster1.set_bus_number(bus_number=data["route"])
poster1.set_bus_letter(bus_letter=data["direction"])
# Genera la imagen de la linea del bus
poster2 = BusPoster(aprox(1.1*(1/3)*height), aprox(1.1*(1/3)*width))
poster2.set_theme(theme)
poster2.start_draw()
poster_params = {
'proportion': 0.6,
'width_border': 2,
'font_size': 11,
'number_background_color': 'yellow',
'letter_background_color': 'blue',
}
# Se setean los parametros
poster2.set_params(poster_params)
poster2.load_barlow()
poster2.set_colors()
# Se setea la ruta y la direccion en la que va
poster2.set_bus_number(bus_number="16")
poster2.set_bus_letter(bus_letter="I")
# Se agrega la imagen del bus
bm = BusImage()
bm.set_theme(theme)
bm.load_image_from_url()
bm.crop_image(top_cut=165, bottom_cut=165)
bm.resize_image(target_width=aprox((1/3)*width))
# Se agregan todas las imagenes al canvas
# full_panel.add_image(bp, (aprox(0*width), aprox((0)*height)))
# full_panel.add_image(dist_anmc, (aprox((3/8)*width), aprox(0.1*height)))
full_panel.add_image(time_anmc1, (aprox((0.6)*width), aprox(0.05*height)))
full_panel.add_image(time_anmc2, (aprox((0.6)*width), aprox(0.45*height)))
full_panel.add_image(poster1, (aprox((0.05)*width), aprox((0.1)*height)))
full_panel.add_image(poster2, (aprox((0.05)*width), aprox((0.5)*height)))
# full_panel.add_image(bm, (aprox(0.02*width),aprox((1/6)*height)))
full_panel.get_image()
full_panel.save_image('/app/data/output.png')
if __name__ == '__main__':
main()

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@ -0,0 +1,77 @@
# Guía de configuración para Modulo LED
## Materiales Necesarios
- Raspberry Pi, versión 3 o superior.
- Hat de conexión HUB75
- Paneles LED P4 con I/O HUB75
- Fuente de alimentación con salida 5V/3A
- Cables de Alimentación 4-pin 5V/3A
- Cables de datos con conexión HUB75
## Configuración inicial
### Conexionado
Para las conexiones de datos, se utilizan cables hembra HUB75 de 16-pines, estos se conectan en un extremo al HAT HUB75 para Raspberry PI. En caso de tener un HAT con multiples conexiones de HUB75, siempre utilizar la salida TOP para la primera fila del conjunto de paneles, y usar el resto de las salidas para las filas inferiores. El extremo opuesto del cable de datos debe conectarse en el "input" del panel, estos modulos tienen etiquetada su entrada y salida en la parte posterior. Ver las imagenes mostradas como referencia visual.
Para la conexión electrica, cada uno de los paneles LED tiene una entrada de cuatro pines para cables de alimentación. Es necesario tener una fuente de poder con salida de 5V y un minimo de 3A, para cumplir con los criterios de alimentación en los modulos LED.
![HUB75 conector](https://github.com/diegoalrv/pantallas-led/assets/148826389/5c03ffe1-eca1-42b8-bd50-4efc3d170ed7) ![HUB75 input](https://github.com/diegoalrv/pantallas-led/assets/148826389/f153e6ce-ce5e-4b19-8e2d-45ffa2d77037) ![Raspi HAT](https://github.com/diegoalrv/pantallas-led/assets/148826389/8b40b730-42ae-4416-929d-cd32de8903ee)
A continuación, se presenta un diagrama de conexiones, tanto para los datos como para la alimentación. Notar que la referencia (0,0) corresponde a la orientación superior izquierda de las gráficas que se deseen desplegar en el módulo, también se señala la orientación de las entradas y salidas de cada panel en la configuración.
![conexionModLED](https://github.com/diegoalrv/pantallas-led/assets/148826389/782bac34-8173-4207-a9f7-df2b5422b9ca.png)
### Configuración de Raspberry Pi
Luego de haber descargado los datos almancenados en este reposotorio. En el directorio ModuloLED, encontrará un script llamado `MenuPantalla.sh`, en este menú se puede hacer dos acciones en concreto:
- Configurar parámetros de la implementación, modificando variables del codigo base.
- Desplegar una imagen a partir de un archivo imagen jpg o png almacenada en el sistema.
#### Configuración de Parámetros
Entre las opciones de configuración en el codigo base para el funcionamiento del panel se muestran en la siguiente tabla:
| Parámetro | Variable código base | Rango de valores |
| ------------ | ------------ | ------------ |
| N° de filas de pixeles en un panel. | `options.rows` | PANEL |
| N° de columnas de pixeles en un panel. | `options.col` | PANEL |
| N° de filas de paneles montados | `options.parallel` | 1 - 3 |
| N° de columnas de paneles montados | `options.chain_length` | 1 - 3 |
| Brillo | `options.brightness` | 0 - 100 |
| Mapeo GPIO para HAT | `options.hardware_mapping` | `regular`, ver otras opciones [aquí](https://github.com/hzeller/rpi-rgb-led-matrix/blob/master/wiring.md#alternative-hardware-mappings) |
| Multiplexación | `options.multiplexing` | 1 (por defecto) - 17|
| Retardo GPIO | `options.gpio_slowdown` | 1 - 5 |
**PANEL: Dado por el fabricante del panel comprado.**
## Despliegue de imagenes
Al seleccionar esta opción, se mostrarán todos los archivos de imagen guardados en el sistema de la Raspberry Pi. Se recomienda utilizar imagenes con la mimsa relacion de aspecto que la resolución de la pantalla montada para el despliegue. De lo contrario, la pantalla tendrá espacios en negro.
### Variables del Sistema Operativo
Se propone un Sub-sistema que se encargue de manera dedicada al renderizado en la Matriz LED en forma continua. Para eso se implementa un *demonio* de Linux que esta continuamente dibujando en el display.
Para ello se reserva el procesador 3, entregandoselele la `CPUAffinity=3` al proceso, de manera de garantizar el recurso computacional. Adicionalmente se modifica el Sistema Operativo para que quite el procesador del itineradoe usando `isocpus=3` en la variable de inicio `/boot/cmdline.txt`.
Además se monta un directorio de `/srv/ledram` que tiene un tamaño de 32MB para disponer una *memoria de video* en RAM que permita a otros procesos actualizar el contenido que se despliega en el display. Para ello se modifica el `/etc/fstab` para que se cree el recurso automaticamente al iniciarse la Raspberry.
#### Sub-sistema de renderizado
Se define el directorio `/srv` donde se aloja el sub-sistema de renderizado. Esta compuesto del script `/srv/subsystem/led-driver.py` que es iniciado en forma automática por `systemd`.
El script ve la hora de modificación del archivo `/srv/ledram/current.png` para determinar si debe o no actualizar la imagen que se está desplegando actualmente en el display cada 100 ms.
De esta manera, cualquier usuario o proceso (`chmod 666`) puede escribir ese archivo. Siendo este sub sistema el encargado de leer el contenido de la imagen y renderizarlo en el display led en forma permanente.
#### Instalación como servicio
Todos estos pasos están automatizados en el script `install-service.sh` que debe ser ejecutado como `root`.
#### TODO
Falta que el script detecte cuando se le solicita salir, para que elimine el archivo `/srv/ledram/current.png`, de tal manera de poder `systemctl stop led-driver.service` y `systemctl start led-driver.service` sin depender que la imagen se elimine en forma automatica al ser un directorio volatil

BIN
ModuloLED/init.png 100644

Binary file not shown.

After

Width:  |  Height:  |  Size: 26 KiB

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#!/bin/bash
if [ "$EUID" -ne 0 ]; then
echo "Este script requiere permisos de root."
exit
fi
# set pwd to current directory
cd "$(dirname "$0")"
#limpia el contenido del directorio de trabajo
rm -rf /srv/ledram/*
rm -rf /srv/*
# Configura un directorio `/srv/ledram` como buffer de video
sed -i -e '/srv/d' /etc/fstab
sed -i -e '$a/tmpfs /srv/ledram tmpfs rw,nosuid,nodev,size=32m 0 0' /etc/fstab
# Crea directorio donde se almacena el buffer de video
mkdir /srv/ledram
# Desocupa el tercer procesador para ser usado exclusivamente por el sub-proceso de renderizado
sed -i -e 's/ isocpus=3//g' /boot/cmdline.txt
sed -i -e 's/$/ isocpus=3/' /boot/cmdline.txt
#copia la biblioteca al directorio de trabajo
cp -R /home/raspi/rpi-rgb-led-matrix/bindings/python/rgbmatrix /srv/rgbmatrix
#copia el sub-sistema de renderizado
mkdir /srv/subsystem
cp -rf init.png /srv
cp -rf led-driver.py /srv/subsystem
#Crea el servicio
cp -rf led-driver.service /etc/systemd/system/led-driver.service
# Recarga e inicia automaticamente al prender.
systemctl daemon-reload
systemctl unmask led-driver.service
systemctl enable led-driver.service
# Mensajes de salida
echo "Debe reiniciar la Raspberry para que el servicio pueda iniciarse"
echo "Luego para actualizar, solo debe modificar el el archivo '/srv/ledram/current.png' para actualizar la pantalla"

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@ -0,0 +1,56 @@
#!/usr/bin/env python
import time
import sys
import os
import shutil
from rgbmatrix import RGBMatrix, RGBMatrixOptions
from PIL import Image
# Configuration for the matrix
options = RGBMatrixOptions()
options.rows = 40
options.cols = 80
options.chain_length = 2
options.parallel = 1
options.gpio_slowdown = 4
#options.row_address_type = 0
options.hardware_mapping = 'regular' # If you have an Adafruit HAT: 'adafruit-hat'
options.multiplexing = 1
options.brightness = 100
#options.pwm_lsb_nanoseconds = 300
#options.pwm_bits = 11
matrix = RGBMatrix(options = options)
#Bufer que se copia en la pantalla led
img_path='/srv/ledram/current.png'
#imagen por defecto a mostrar al inicializarla
init_file='/srv/init.png'
# Revisa si el bufer existe, si no existe lo crea
# y si existe sale ya que hay otro proceso que lo
if not os.path.isfile(img_path):
shutil.copy(init_file, img_path)
os.chmod(img_path, 0o666)
else:
print("El archivo de buffer ya existe!")
exit(1)
#guarda el tiempo de modificación
tstam = os.stat(img_path).st_mtime
with Image.open(img_path) as image:
matrix.SetImage(image.convert('RGB'))
#matrix.SetImage(Image.open(img_path).convert('RGB'))
while True:
time.sleep(0.1)
ntstam = os.stat(img_path).st_mtime
#si el bufer fue modificado, lo carga en la pantalla led
if ntstam > tstam:
with Image.open(img_path) as image:
matrix.SetImage(image.convert('RGB'))
tstam = ntstam

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@ -0,0 +1,14 @@
[Unit]
Description=LED Rendering Service
After=local-fs.target
[Service]
User=root
CPUAffinity=3
Nice=-20
WorkingDirectory=/srv
ExecStart=/usr/bin/python3 /srv/subsystem/led-driver.py
Restart=always
[Install]
WantedBy=multi-user.target

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@ -1,49 +1,60 @@
# Visualización para pantallas LED de paradas de bus
# Configurar la RPI
Este repositorio contiene los archivos necesarios para ejecutar una aplicación Jupyter Notebook con ciertas bibliotecas de visualización y procesamiento de imágenes.
### Instalar el software para inicializar tarjetas SD
## Contenido
`apt install rpi-imager`
- `Dockerfile`: Define cómo construir la imagen Docker para ejecutar la aplicación.
- `requirements.txt`: Lista las bibliotecas y dependencias necesarias para la aplicación.
### Instalar la imagen Raspbian 64 bit Lite
## Dockerfile
Copiar la versión lite:
https://downloads.raspberrypi.com/raspios_lite_arm64/images/raspios_lite_arm64-2023-12-11/2023-12-11-raspios-bookworm-arm64-lite.img.xz
### Descripción
### Configurar la imagen
El `Dockerfile` especifica cómo construir una imagen Docker basada en Python 3.8 que tiene todas las dependencias necesarias para ejecutar la aplicación.
`rpi-imager` permite habilitar SSH, cambiar el nombre al dispositivo, configurar una cuenta de usuario, etc.
### Instrucciones
Para mas información revisar: http://rptl.io/newuser
1. **Imagen base**: Utiliza Python 3.8.
2. **Directorio de trabajo**: Establece `/app` como el directorio de trabajo en el contenedor.
3. **Instalación de dependencias**: Copia y utiliza `requirements.txt` para instalar las bibliotecas necesarias.
4. **Configuración de Jupyter**: Copia el archivo de configuración de Jupyter al contenedor.
5. **Puerto**: Expone el puerto 8888 para Jupyter Notebook.
6. **Comando de inicio**: Al iniciar el contenedor, se ejecuta Jupyter Notebook en el puerto 8888.
## requirements.txt
## Preparacipon de ambientes y dispositivo
### Descripción
Este presupone que se usa la cuenta de soporte y el directorio principal `/home/soporte`
El archivo `requirements.txt` lista las bibliotecas y dependencias que se requieren para la aplicación.
### Quitar la tarjeta de sonido para habilitar
### Bibliotecas y dependencias
`cat "blacklist snd_bcm2835" | sudo tee /etc/modprobe.d/blacklist-rgb-matrix.conf `
- `matplotlib`: Biblioteca de visualización de datos.
- `seaborn`: Biblioteca de visualización de datos basada en matplotlib.
- `plotly`: Biblioteca para gráficos interactivos.
- `opencv-python`: Biblioteca de procesamiento de imágenes y visión por computadora.
- `jupyter`: Entorno de desarrollo interactivo.
`sudo update-initramfs -u`
## Cómo ejecutar
`sudo reboot`
1. Construye la imagen Docker:
### Preparación de paquetes
`docker build -t bus_stop_visualization .`
`sudo apt-get update`
2. Ejecuta el contenedor:
paquetes basicos:
`docker run -d --name bus_stop_vis -v /scripts:/app/scripts -p 8888:8888 bus_stop_visualization`
`sudo apt-get install git python3-pip -y `
3. Abre un navegador y accede a `http://localhost:8888` para comenzar a usar Jupyter Notebook.
Requerimientos del LED-MATRIX
`sudo apt-get install python3-dev python3-pillow -y`
Requerimientos de pantallas led:
`sudo apt-get install python3-matplotlib python3-requests python3-numpy python3-pytzdata python3-apscheduler -y`
### Clonar los repositorios
`git clone https://dev.ilab.cl/TDTP/pantallas-led`
`git clone https://github.com/hzeller/rpi-rgb-led-matrix/`
`cd rpi-rgb-led-matrix/bindings/python`
`make build-python PYTHON=$(command -v python3)`
`sudo make install-python PYTHON=$(command -v python3)`
Return to the folder and proceed with the installation

12
autorun.sh 100644
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#!/bin/bash
IMAGE=$HOME/pantallas-led/GenPoster/example/poster.png
#sudo python3 testapi_full.py
cd pantallas-led/GenPoster
#docker build -t bus_poster .
./run_container.sh
cd $HOME/rpi-rgb-led-matrix/bindings/python/samples/
sudo python3 image-viewer.py $IMAGE

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Copyright 2017 The Barlow Project Authors (https://github.com/jpt/barlow)
This Font Software is licensed under the SIL Open Font License, Version 1.1.
This license is copied below, and is also available with a FAQ at:
http://scripts.sil.org/OFL
-----------------------------------------------------------
SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
-----------------------------------------------------------
PREAMBLE
The goals of the Open Font License (OFL) are to stimulate worldwide
development of collaborative font projects, to support the font creation
efforts of academic and linguistic communities, and to provide a free and
open framework in which fonts may be shared and improved in partnership
with others.
The OFL allows the licensed fonts to be used, studied, modified and
redistributed freely as long as they are not sold by themselves. The
fonts, including any derivative works, can be bundled, embedded,
redistributed and/or sold with any software provided that any reserved
names are not used by derivative works. The fonts and derivatives,
however, cannot be released under any other type of license. The
requirement for fonts to remain under this license does not apply
to any document created using the fonts or their derivatives.
DEFINITIONS
"Font Software" refers to the set of files released by the Copyright
Holder(s) under this license and clearly marked as such. This may
include source files, build scripts and documentation.
"Reserved Font Name" refers to any names specified as such after the
copyright statement(s).
"Original Version" refers to the collection of Font Software components as
distributed by the Copyright Holder(s).
"Modified Version" refers to any derivative made by adding to, deleting,
or substituting -- in part or in whole -- any of the components of the
Original Version, by changing formats or by porting the Font Software to a
new environment.
"Author" refers to any designer, engineer, programmer, technical
writer or other person who contributed to the Font Software.
PERMISSION & CONDITIONS
Permission is hereby granted, free of charge, to any person obtaining
a copy of the Font Software, to use, study, copy, merge, embed, modify,
redistribute, and sell modified and unmodified copies of the Font
Software, subject to the following conditions:
1) Neither the Font Software nor any of its individual components,
in Original or Modified Versions, may be sold by itself.
2) Original or Modified Versions of the Font Software may be bundled,
redistributed and/or sold with any software, provided that each copy
contains the above copyright notice and this license. These can be
included either as stand-alone text files, human-readable headers or
in the appropriate machine-readable metadata fields within text or
binary files as long as those fields can be easily viewed by the user.
3) No Modified Version of the Font Software may use the Reserved Font
Name(s) unless explicit written permission is granted by the corresponding
Copyright Holder. This restriction only applies to the primary font name as
presented to the users.
4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
Software shall not be used to promote, endorse or advertise any
Modified Version, except to acknowledge the contribution(s) of the
Copyright Holder(s) and the Author(s) or with their explicit written
permission.
5) The Font Software, modified or unmodified, in part or in whole,
must be distributed entirely under this license, and must not be
distributed under any other license. The requirement for fonts to
remain under this license does not apply to any document created
using the Font Software.
TERMINATION
This license becomes null and void if any of the above conditions are
not met.
DISCLAIMER
THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
OTHER DEALINGS IN THE FONT SOFTWARE.

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// Copyright 2015 The GTFS Specifications Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Protocol definition file for GTFS Realtime.
//
// GTFS Realtime lets transit agencies provide consumers with realtime
// information about disruptions to their service (stations closed, lines not
// operating, important delays etc), location of their vehicles and expected
// arrival times.
//
// This protocol is published at:
// https://github.com/google/transit/tree/master/gtfs-realtime
syntax = "proto2";
package transit_realtime;
option java_package = "com.google.transit.realtime";
// The contents of a feed message.
// A feed is a continuous stream of feed messages. Each message in the stream is
// obtained as a response to an appropriate HTTP GET request.
// A realtime feed is always defined with relation to an existing GTFS feed.
// All the entity ids are resolved with respect to the GTFS feed.
// Note that "required" and "optional" as stated in this file refer to Protocol
// Buffer cardinality, not semantic cardinality. See reference.md at
// https://github.com/google/transit/tree/master/gtfs-realtime for field
// semantic cardinality.
message FeedMessage {
// Metadata about this feed and feed message.
required FeedHeader header = 1;
// Contents of the feed.
repeated FeedEntity entity = 2;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime specification in order to add and evaluate new features and
// modifications to the spec.
extensions 1000 to 1999;
}
// Metadata about a feed, included in feed messages.
message FeedHeader {
// Version of the feed specification.
// The current version is 2.0.
required string gtfs_realtime_version = 1;
// Determines whether the current fetch is incremental. Currently,
// DIFFERENTIAL mode is unsupported and behavior is unspecified for feeds
// that use this mode. There are discussions on the GTFS Realtime mailing
// list around fully specifying the behavior of DIFFERENTIAL mode and the
// documentation will be updated when those discussions are finalized.
enum Incrementality {
FULL_DATASET = 0;
DIFFERENTIAL = 1;
}
optional Incrementality incrementality = 2 [default = FULL_DATASET];
// This timestamp identifies the moment when the content of this feed has been
// created (in server time). In POSIX time (i.e., number of seconds since
// January 1st 1970 00:00:00 UTC).
optional uint64 timestamp = 3;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime specification in order to add and evaluate new features and
// modifications to the spec.
extensions 1000 to 1999;
}
// A definition (or update) of an entity in the transit feed.
message FeedEntity {
// The ids are used only to provide incrementality support. The id should be
// unique within a FeedMessage. Consequent FeedMessages may contain
// FeedEntities with the same id. In case of a DIFFERENTIAL update the new
// FeedEntity with some id will replace the old FeedEntity with the same id
// (or delete it - see is_deleted below).
// The actual GTFS entities (e.g. stations, routes, trips) referenced by the
// feed must be specified by explicit selectors (see EntitySelector below for
// more info).
required string id = 1;
// Whether this entity is to be deleted. Relevant only for incremental
// fetches.
optional bool is_deleted = 2 [default = false];
// Data about the entity itself. Exactly one of the following fields must be
// present (unless the entity is being deleted).
optional TripUpdate trip_update = 3;
optional VehiclePosition vehicle = 4;
optional Alert alert = 5;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime Specification in order to add and evaluate new features and
// modifications to the spec.
extensions 1000 to 1999;
}
//
// Entities used in the feed.
//
// Realtime update of the progress of a vehicle along a trip.
// Depending on the value of ScheduleRelationship, a TripUpdate can specify:
// - A trip that proceeds along the schedule.
// - A trip that proceeds along a route but has no fixed schedule.
// - A trip that have been added or removed with regard to schedule.
//
// The updates can be for future, predicted arrival/departure events, or for
// past events that already occurred.
// Normally, updates should get more precise and more certain (see
// uncertainty below) as the events gets closer to current time.
// Even if that is not possible, the information for past events should be
// precise and certain. In particular, if an update points to time in the past
// but its update's uncertainty is not 0, the client should conclude that the
// update is a (wrong) prediction and that the trip has not completed yet.
//
// Note that the update can describe a trip that is already completed.
// To this end, it is enough to provide an update for the last stop of the trip.
// If the time of that is in the past, the client will conclude from that that
// the whole trip is in the past (it is possible, although inconsequential, to
// also provide updates for preceding stops).
// This option is most relevant for a trip that has completed ahead of schedule,
// but according to the schedule, the trip is still proceeding at the current
// time. Removing the updates for this trip could make the client assume
// that the trip is still proceeding.
// Note that the feed provider is allowed, but not required, to purge past
// updates - this is one case where this would be practically useful.
message TripUpdate {
// The Trip that this message applies to. There can be at most one
// TripUpdate entity for each actual trip instance.
// If there is none, that means there is no prediction information available.
// It does *not* mean that the trip is progressing according to schedule.
required TripDescriptor trip = 1;
// Additional information on the vehicle that is serving this trip.
optional VehicleDescriptor vehicle = 3;
// Timing information for a single predicted event (either arrival or
// departure).
// Timing consists of delay and/or estimated time, and uncertainty.
// - delay should be used when the prediction is given relative to some
// existing schedule in GTFS.
// - time should be given whether there is a predicted schedule or not. If
// both time and delay are specified, time will take precedence
// (although normally, time, if given for a scheduled trip, should be
// equal to scheduled time in GTFS + delay).
//
// Uncertainty applies equally to both time and delay.
// The uncertainty roughly specifies the expected error in true delay (but
// note, we don't yet define its precise statistical meaning). It's possible
// for the uncertainty to be 0, for example for trains that are driven under
// computer timing control.
message StopTimeEvent {
// Delay (in seconds) can be positive (meaning that the vehicle is late) or
// negative (meaning that the vehicle is ahead of schedule). Delay of 0
// means that the vehicle is exactly on time.
optional int32 delay = 1;
// Event as absolute time.
// In Unix time (i.e., number of seconds since January 1st 1970 00:00:00
// UTC).
optional int64 time = 2;
// If uncertainty is omitted, it is interpreted as unknown.
// If the prediction is unknown or too uncertain, the delay (or time) field
// should be empty. In such case, the uncertainty field is ignored.
// To specify a completely certain prediction, set its uncertainty to 0.
optional int32 uncertainty = 3;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime Specification in order to add and evaluate new features
// and modifications to the spec.
extensions 1000 to 1999;
}
// Realtime update for arrival and/or departure events for a given stop on a
// trip. Updates can be supplied for both past and future events.
// The producer is allowed, although not required, to drop past events.
message StopTimeUpdate {
// The update is linked to a specific stop either through stop_sequence or
// stop_id, so one of the fields below must necessarily be set.
// See the documentation in TripDescriptor for more information.
// Must be the same as in stop_times.txt in the corresponding GTFS feed.
optional uint32 stop_sequence = 1;
// Must be the same as in stops.txt in the corresponding GTFS feed.
optional string stop_id = 4;
optional StopTimeEvent arrival = 2;
optional StopTimeEvent departure = 3;
// The relation between this StopTime and the static schedule.
enum ScheduleRelationship {
// The vehicle is proceeding in accordance with its static schedule of
// stops, although not necessarily according to the times of the schedule.
// At least one of arrival and departure must be provided. If the schedule
// for this stop contains both arrival and departure times then so must
// this update.
SCHEDULED = 0;
// The stop is skipped, i.e., the vehicle will not stop at this stop.
// Arrival and departure are optional.
SKIPPED = 1;
// No data is given for this stop. The main intention for this value is to
// give the predictions only for part of a trip, i.e., if the last update
// for a trip has a NO_DATA specifier, then StopTimes for the rest of the
// stops in the trip are considered to be unspecified as well.
// Neither arrival nor departure should be supplied.
NO_DATA = 2;
}
optional ScheduleRelationship schedule_relationship = 5
[default = SCHEDULED];
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime Specification in order to add and evaluate new features
// and modifications to the spec.
extensions 1000 to 1999;
}
// Updates to StopTimes for the trip (both future, i.e., predictions, and in
// some cases, past ones, i.e., those that already happened).
// The updates must be sorted by stop_sequence, and apply for all the
// following stops of the trip up to the next specified one.
//
// Example 1:
// For a trip with 20 stops, a StopTimeUpdate with arrival delay and departure
// delay of 0 for stop_sequence of the current stop means that the trip is
// exactly on time.
//
// Example 2:
// For the same trip instance, 3 StopTimeUpdates are provided:
// - delay of 5 min for stop_sequence 3
// - delay of 1 min for stop_sequence 8
// - delay of unspecified duration for stop_sequence 10
// This will be interpreted as:
// - stop_sequences 3,4,5,6,7 have delay of 5 min.
// - stop_sequences 8,9 have delay of 1 min.
// - stop_sequences 10,... have unknown delay.
repeated StopTimeUpdate stop_time_update = 2;
// Moment at which the vehicle's real-time progress was measured. In POSIX
// time (i.e., the number of seconds since January 1st 1970 00:00:00 UTC).
optional uint64 timestamp = 4;
// The current schedule deviation for the trip. Delay should only be
// specified when the prediction is given relative to some existing schedule
// in GTFS.
//
// Delay (in seconds) can be positive (meaning that the vehicle is late) or
// negative (meaning that the vehicle is ahead of schedule). Delay of 0
// means that the vehicle is exactly on time.
//
// Delay information in StopTimeUpdates take precedent of trip-level delay
// information, such that trip-level delay is only propagated until the next
// stop along the trip with a StopTimeUpdate delay value specified.
//
// Feed providers are strongly encouraged to provide a TripUpdate.timestamp
// value indicating when the delay value was last updated, in order to
// evaluate the freshness of the data.
//
// NOTE: This field is still experimental, and subject to change. It may be
// formally adopted in the future.
optional int32 delay = 5;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime Specification in order to add and evaluate new features and
// modifications to the spec.
extensions 1000 to 1999;
}
// Realtime positioning information for a given vehicle.
message VehiclePosition {
// The Trip that this vehicle is serving.
// Can be empty or partial if the vehicle can not be identified with a given
// trip instance.
optional TripDescriptor trip = 1;
// Additional information on the vehicle that is serving this trip.
optional VehicleDescriptor vehicle = 8;
// Current position of this vehicle.
optional Position position = 2;
// The stop sequence index of the current stop. The meaning of
// current_stop_sequence (i.e., the stop that it refers to) is determined by
// current_status.
// If current_status is missing IN_TRANSIT_TO is assumed.
optional uint32 current_stop_sequence = 3;
// Identifies the current stop. The value must be the same as in stops.txt in
// the corresponding GTFS feed.
optional string stop_id = 7;
enum VehicleStopStatus {
// The vehicle is just about to arrive at the stop (on a stop
// display, the vehicle symbol typically flashes).
INCOMING_AT = 0;
// The vehicle is standing at the stop.
STOPPED_AT = 1;
// The vehicle has departed and is in transit to the next stop.
IN_TRANSIT_TO = 2;
}
// The exact status of the vehicle with respect to the current stop.
// Ignored if current_stop_sequence is missing.
optional VehicleStopStatus current_status = 4 [default = IN_TRANSIT_TO];
// Moment at which the vehicle's position was measured. In POSIX time
// (i.e., number of seconds since January 1st 1970 00:00:00 UTC).
optional uint64 timestamp = 5;
// Congestion level that is affecting this vehicle.
enum CongestionLevel {
UNKNOWN_CONGESTION_LEVEL = 0;
RUNNING_SMOOTHLY = 1;
STOP_AND_GO = 2;
CONGESTION = 3;
SEVERE_CONGESTION = 4; // People leaving their cars.
}
optional CongestionLevel congestion_level = 6;
// The degree of passenger occupancy of the vehicle. This field is still
// experimental, and subject to change. It may be formally adopted in the
// future.
enum OccupancyStatus {
// The vehicle is considered empty by most measures, and has few or no
// passengers onboard, but is still accepting passengers.
EMPTY = 0;
// The vehicle has a relatively large percentage of seats available.
// What percentage of free seats out of the total seats available is to be
// considered large enough to fall into this category is determined at the
// discretion of the producer.
MANY_SEATS_AVAILABLE = 1;
// The vehicle has a relatively small percentage of seats available.
// What percentage of free seats out of the total seats available is to be
// considered small enough to fall into this category is determined at the
// discretion of the feed producer.
FEW_SEATS_AVAILABLE = 2;
// The vehicle can currently accommodate only standing passengers.
STANDING_ROOM_ONLY = 3;
// The vehicle can currently accommodate only standing passengers
// and has limited space for them.
CRUSHED_STANDING_ROOM_ONLY = 4;
// The vehicle is considered full by most measures, but may still be
// allowing passengers to board.
FULL = 5;
// The vehicle is not accepting additional passengers.
NOT_ACCEPTING_PASSENGERS = 6;
}
optional OccupancyStatus occupancy_status = 9;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime Specification in order to add and evaluate new features and
// modifications to the spec.
extensions 1000 to 1999;
}
// An alert, indicating some sort of incident in the public transit network.
message Alert {
// Time when the alert should be shown to the user. If missing, the
// alert will be shown as long as it appears in the feed.
// If multiple ranges are given, the alert will be shown during all of them.
repeated TimeRange active_period = 1;
// Entities whose users we should notify of this alert.
repeated EntitySelector informed_entity = 5;
// Cause of this alert.
enum Cause {
UNKNOWN_CAUSE = 1;
OTHER_CAUSE = 2; // Not machine-representable.
TECHNICAL_PROBLEM = 3;
STRIKE = 4; // Public transit agency employees stopped working.
DEMONSTRATION = 5; // People are blocking the streets.
ACCIDENT = 6;
HOLIDAY = 7;
WEATHER = 8;
MAINTENANCE = 9;
CONSTRUCTION = 10;
POLICE_ACTIVITY = 11;
MEDICAL_EMERGENCY = 12;
}
optional Cause cause = 6 [default = UNKNOWN_CAUSE];
// What is the effect of this problem on the affected entity.
enum Effect {
NO_SERVICE = 1;
REDUCED_SERVICE = 2;
// We don't care about INsignificant delays: they are hard to detect, have
// little impact on the user, and would clutter the results as they are too
// frequent.
SIGNIFICANT_DELAYS = 3;
DETOUR = 4;
ADDITIONAL_SERVICE = 5;
MODIFIED_SERVICE = 6;
OTHER_EFFECT = 7;
UNKNOWN_EFFECT = 8;
STOP_MOVED = 9;
}
optional Effect effect = 7 [default = UNKNOWN_EFFECT];
// The URL which provides additional information about the alert.
optional TranslatedString url = 8;
// Alert header. Contains a short summary of the alert text as plain-text.
optional TranslatedString header_text = 10;
// Full description for the alert as plain-text. The information in the
// description should add to the information of the header.
optional TranslatedString description_text = 11;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime Specification in order to add and evaluate new features
// and modifications to the spec.
extensions 1000 to 1999;
}
//
// Low level data structures used above.
//
// A time interval. The interval is considered active at time 't' if 't' is
// greater than or equal to the start time and less than the end time.
message TimeRange {
// Start time, in POSIX time (i.e., number of seconds since January 1st 1970
// 00:00:00 UTC).
// If missing, the interval starts at minus infinity.
optional uint64 start = 1;
// End time, in POSIX time (i.e., number of seconds since January 1st 1970
// 00:00:00 UTC).
// If missing, the interval ends at plus infinity.
optional uint64 end = 2;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime Specification in order to add and evaluate new features and
// modifications to the spec.
extensions 1000 to 1999;
}
// A position.
message Position {
// Degrees North, in the WGS-84 coordinate system.
required float latitude = 1;
// Degrees East, in the WGS-84 coordinate system.
required float longitude = 2;
// Bearing, in degrees, clockwise from North, i.e., 0 is North and 90 is East.
// This can be the compass bearing, or the direction towards the next stop
// or intermediate location.
// This should not be direction deduced from the sequence of previous
// positions, which can be computed from previous data.
optional float bearing = 3;
// Odometer value, in meters.
optional double odometer = 4;
// Momentary speed measured by the vehicle, in meters per second.
optional float speed = 5;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime Specification in order to add and evaluate new features and
// modifications to the spec.
extensions 1000 to 1999;
}
// A descriptor that identifies an instance of a GTFS trip, or all instances of
// a trip along a route.
// - To specify a single trip instance, the trip_id (and if necessary,
// start_time) is set. If route_id is also set, then it should be same as one
// that the given trip corresponds to.
// - To specify all the trips along a given route, only the route_id should be
// set. Note that if the trip_id is not known, then stop sequence ids in
// TripUpdate are not sufficient, and stop_ids must be provided as well. In
// addition, absolute arrival/departure times must be provided.
message TripDescriptor {
// The trip_id from the GTFS feed that this selector refers to.
// For non frequency-based trips, this field is enough to uniquely identify
// the trip. For frequency-based trip, start_time and start_date might also be
// necessary.
optional string trip_id = 1;
// The route_id from the GTFS that this selector refers to.
optional string route_id = 5;
// The direction_id from the GTFS feed trips.txt file, indicating the
// direction of travel for trips this selector refers to. This field is
// still experimental, and subject to change. It may be formally adopted in
// the future.
optional uint32 direction_id = 6;
// The initially scheduled start time of this trip instance.
// When the trip_id corresponds to a non-frequency-based trip, this field
// should either be omitted or be equal to the value in the GTFS feed. When
// the trip_id corresponds to a frequency-based trip, the start_time must be
// specified for trip updates and vehicle positions. If the trip corresponds
// to exact_times=1 GTFS record, then start_time must be some multiple
// (including zero) of headway_secs later than frequencies.txt start_time for
// the corresponding time period. If the trip corresponds to exact_times=0,
// then its start_time may be arbitrary, and is initially expected to be the
// first departure of the trip. Once established, the start_time of this
// frequency-based trip should be considered immutable, even if the first
// departure time changes -- that time change may instead be reflected in a
// StopTimeUpdate.
// Format and semantics of the field is same as that of
// GTFS/frequencies.txt/start_time, e.g., 11:15:35 or 25:15:35.
optional string start_time = 2;
// The scheduled start date of this trip instance.
// Must be provided to disambiguate trips that are so late as to collide with
// a scheduled trip on a next day. For example, for a train that departs 8:00
// and 20:00 every day, and is 12 hours late, there would be two distinct
// trips on the same time.
// This field can be provided but is not mandatory for schedules in which such
// collisions are impossible - for example, a service running on hourly
// schedule where a vehicle that is one hour late is not considered to be
// related to schedule anymore.
// In YYYYMMDD format.
optional string start_date = 3;
// The relation between this trip and the static schedule. If a trip is done
// in accordance with temporary schedule, not reflected in GTFS, then it
// shouldn't be marked as SCHEDULED, but likely as ADDED.
enum ScheduleRelationship {
// Trip that is running in accordance with its GTFS schedule, or is close
// enough to the scheduled trip to be associated with it.
SCHEDULED = 0;
// An extra trip that was added in addition to a running schedule, for
// example, to replace a broken vehicle or to respond to sudden passenger
// load.
ADDED = 1;
// A trip that is running with no schedule associated to it, for example, if
// there is no schedule at all.
UNSCHEDULED = 2;
// A trip that existed in the schedule but was removed.
CANCELED = 3;
}
optional ScheduleRelationship schedule_relationship = 4;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime Specification in order to add and evaluate new features and
// modifications to the spec.
extensions 1000 to 1999;
}
// Identification information for the vehicle performing the trip.
message VehicleDescriptor {
// Internal system identification of the vehicle. Should be unique per
// vehicle, and can be used for tracking the vehicle as it proceeds through
// the system.
optional string id = 1;
// User visible label, i.e., something that must be shown to the passenger to
// help identify the correct vehicle.
optional string label = 2;
// The license plate of the vehicle.
optional string license_plate = 3;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime Specification in order to add and evaluate new features and
// modifications to the spec.
extensions 1000 to 1999;
}
// A selector for an entity in a GTFS feed.
message EntitySelector {
// The values of the fields should correspond to the appropriate fields in the
// GTFS feed.
// At least one specifier must be given. If several are given, then the
// matching has to apply to all the given specifiers.
optional string agency_id = 1;
optional string route_id = 2;
// corresponds to route_type in GTFS.
optional int32 route_type = 3;
optional TripDescriptor trip = 4;
optional string stop_id = 5;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime Specification in order to add and evaluate new features and
// modifications to the spec.
extensions 1000 to 1999;
}
// An internationalized message containing per-language versions of a snippet of
// text or a URL.
// One of the strings from a message will be picked up. The resolution proceeds
// as follows:
// 1. If the UI language matches the language code of a translation,
// the first matching translation is picked.
// 2. If a default UI language (e.g., English) matches the language code of a
// translation, the first matching translation is picked.
// 3. If some translation has an unspecified language code, that translation is
// picked.
message TranslatedString {
message Translation {
// A UTF-8 string containing the message.
required string text = 1;
// BCP-47 language code. Can be omitted if the language is unknown or if
// no i18n is done at all for the feed. At most one translation is
// allowed to have an unspecified language tag.
optional string language = 2;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime Specification in order to add and evaluate new features and
// modifications to the spec.
extensions 1000 to 1999;
}
// At least one translation must be provided.
repeated Translation translation = 1;
// The extensions namespace allows 3rd-party developers to extend the
// GTFS Realtime Specification in order to add and evaluate new features and
// modifications to the spec.
extensions 1000 to 1999;
}

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[
{
"direction": "I",
"distance": 1948.575483806973,
"epochTime": 1674650956,
"latitude": -33.43729782104492,
"licensePlate": "LJHX57",
"longitude": -70.52730560302734,
"realtime": true,
"route": "C",
"routeId": "C",
"timeLabel": "09:49",
"tripId": "C-I-L-005"
},
{
"direction": "R",
"distance": 1948.575483806973,
"epochTime": 1674650956,
"latitude": -33.43729782104492,
"licensePlate": "LJHA57",
"longitude": -70.52730560302734,
"realtime": true,
"route": "401",
"routeId": "401",
"timeLabel": "09:49",
"tripId": "401-I-L-005"
}
]

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#!/bin/bash
# Función para verificar el código de retorno
verificar_codigo_retorno() {
if [ $1 -eq 0 ]; then
echo "[OK]"
# Agrega aquí el código para el siguiente paso
else
echo "Hubo un error en el comando. Abortando el script."
exit 1 # Termina el script con un código de retorno no exitoso
fi
}
echo -n "Instalando librerias necesarias "
sudo apt update > /dev/null 2>&1
sudo apt-get install python3-dev python3-pillow -y > /dev/null 2>&1
# Verificar el código de retorno llamando a la función
verificar_codigo_retorno $?
echo -n "Entrando al repositorio "
cd $HOME/rpi-rgb-led-matrix/bindings/python
# Verificar el código de retorno llamando a la función
verificar_codigo_retorno $?
echo -n "Instalando rpi-rgb-led-matrix "
make build-python PYTHON=$(command -v python3) > /dev/null 2>&1
sudo make install-python PYTHON=$(command -v python3) > /dev/null 2>&1
# Verificar el código de retorno llamando a la función
verificar_codigo_retorno $?
echo -n "Clonando repositorio FIC "
cd $HOME
git clone https://github.com/diegoalrv/pantallas-led > /dev/null 2>&1
cd pantallas-led
# Verificar el código de retorno llamando a la función
verificar_codigo_retorno $?

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esquema-repo.png 100644

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#!/bin/bash
# Función para verificar el código de retorno
verificar_codigo_retorno() {
if [ $1 -eq 0 ]; then
echo "[OK]"
# Agrega aquí el código para el siguiente paso
else
echo "Hubo un error en el comando. Abortando el script."
exit 1 # Termina el script con un código de retorno no exitoso
fi
}
# Instalación de bibliotecas
echo -n "Actualizando repositorios "
sudo apt update > /dev/null 2>&1
# Verificar el código de retorno llamando a la función
verificar_codigo_retorno $?
echo -n "Instalando git "
sudo apt install git -y > /dev/null 2>&1
# Verificar el código de retorno llamando a la función
verificar_codigo_retorno $?
echo -n "Clonando repo de la matriz led "
git clone https://github.com/hzeller/rpi-rgb-led-matrix.git > /dev/null 2>&1
# Verificar el código de retorno llamando a la función
verificar_codigo_retorno $?
echo -n "Desactivando tarjeta de sonido "
cat <<EOF | sudo tee /etc/modprobe.d/blacklist-rgb-matrix.conf > /dev/null 2>&1
blacklist snd_bcm2835
EOF
sudo update-initramfs -u > /dev/null 2>&1
# Verificar el código de retorno llamando a la función
verificar_codigo_retorno $?
tiempo=5
echo "El equipo se apagará en: "
while [ $tiempo -gt 0 ]; do
echo $tiempo
sleep 1
tiempo=$((tiempo-1))
done
echo "¡Apagando el equipo ahora!"
shutdown -h now

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c = get_config()
from notebook.auth import passwd
c.NotebookApp.password = passwd("...")

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matplotlib
seaborn
plotly
opencv-python
jupyter

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testapi_full.py 100644
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#!/usr/bin/env python3
import requests
import json
from datetime import datetime, timedelta
# URL de la API para "autentificación"
url_auth = 'https://transporte.hz.kursor.cl/api/auth/'
# Datos para autentificar
auth = '''{
"username": "usuario1",
"password": "usuario1"
}'''
# Request
token = requests.post(url_auth, data=auth)
# Estado de la respuesta
if token.status_code == 200:
# solicitud exitosa
print('Respuesta de token exitosa!')
else:
# Error en la solicitud
print('Error en la solicitud del token:', token.status_code, token.text)
token = token.json()['token']
print('-----------------------------------------------------')
print('Token Obtenido: ' + token)
print('-----------------------------------------------------')
#--------------------------------------------------------
# URL de la API para info del paradero
url_whoami = 'https://transporte.hz.kursor.cl/api/dispositivos/whoami/'
# Datos de la solicitud
data_whoami = {
"whoami": {
"idDispositivo": "pled30-gtr", #Aquí dejaron esta id por defecto....
"KeyAuthorizacion": "token" #Autentificacion de mentira sisisi (la real está comenta después de esta variable
}
}
#Aquí se ingresa el token obtenido anteriormente
headers_whoami = {
'Authorization': f'Bearer {token}',
'Content-Type': 'application/json'
}
# Request
response_whoami = requests.post(url_whoami, json=data_whoami, headers=headers_whoami)
# Estado de la respuesta
if response_whoami.status_code == 200:
# Solicitud exitosa
print('Respuesta API "whoami" exitosa')
else:
# Error en la solicitud
print('Error en la solicitud de API "whoami": ', response_whoami.status_code, response_whoami.text)
Paradero = response_whoami.json()
#print(json.dumps(Paradero, indent=4, ensure_ascii=False, sort_keys=True))
print('-----------------------------------------------------')
# URL de la API para obtener los datos de los recorridos
url_getinfodevice = 'https://transporte.hz.kursor.cl/api/dispositivos/getInfoDevice/'
# Datos para la solicitud
data_getinfodevice = {
"GetInfoDevice": {
"idDispositivo": "00000000160f3b42b8:27:eb:0f:3b:42", #Para esta solicitud, pusieron la id del equipo que les dimos
"KeyAuthorizacion": "tokenSinUso" #Autentificacion de mentira sisisi
}
}
#Aquí se ingresa el token obtenido anteriormente
headers_getinfodevice = {
'Authorization': f'Bearer {token}',
'Content-Type': 'application/json'
}
# Request
response_getinfodevice = requests.post(url_getinfodevice, json=data_getinfodevice, headers=headers_getinfodevice)
# Estado de la respuesta
if response_getinfodevice.status_code == 200:
# Solicitud exitosa
print('Respuesta API "GetInfoDevice" exitosa')
else:
# Error en la solicitud
print('Error en la solicitud de API "GetInfoDevice": ', response_getinfodevice.status_code, response_getinfodevice.text)
info = response_getinfodevice.json()
#print(json.dumps(info, indent=4, ensure_ascii=False, sort_keys=True))
print(info)
print("----------------------------------------------------------")
print("Cantidad de buses con llegada registrada en este paradero:", len(info["GetInfoDeviceResponse"]["DetalleLineas"]))
print("----------------------------------------------------------")
#Haciendo una lista de todos los buses de este paradero
data_main = []
hora_actual = datetime.now().time()
for i in range(len(info["GetInfoDeviceResponse"]["DetalleLineas"])):
data = info["GetInfoDeviceResponse"]["DetalleLineas"][i]
bus_info = {}
bus_info["distance"] = data["Llegadas"][0]["DistanciaGPS"] if data["Llegadas"][0]["DistanciaGPS"] is not None else "-"
bus_info["timeLabel"] = data["Llegadas"][0]["EstimadaGPS"] if data["Llegadas"][0]["EstimadaGPS"] is not None else "-"
bus_info["route"] = data["Descripcion"][:-1] if data["Descripcion"] is not None else "-"
bus_info["direction"] = data["Descripcion"][-1] if data["Descripcion"] is not None else "-"
bus_info["number_background_color"] = data["colorFondo"]
bus_info["letter_background_color"] = data["colorTexto"]
bus_info["patente"] = data["Llegadas"][0]["patente"]
diff = timedelta(hours = datetime.strptime(bus_info["timeLabel"], "%H:%M:%S").time().hour - hora_actual.hour,minutes = datetime.strptime(bus_info["timeLabel"], "%H:%M:%S").time().minute - hora_actual.minute,seconds = datetime.strptime(bus_info["timeLabel"], "%H:%M:%S").time().second - hora_actual.second)
bus_info["timeRemaining"] = int(abs(diff.total_seconds() // 60))
data_main.append(bus_info)
#Cálculo del tiempo estimado de llegada para cada bus
data_time = sorted(data_main, key=lambda x: x['timeRemaining'])
#data_time = data_main
print("Buses ordenados según hora de llegada:\n")
print("Hora Actual (CL): ", datetime.now().strftime("%H:%M:%S"))
print("Paradero N°", Paradero["WhoamiResponse"]["NroParadero"], Paradero["WhoamiResponse"]["NombreParadero"],"\n")
for n in data_time:
#print(n)
print("Recorrido:",n["route"],n["direction"],"| Patente:",n["patente"],"| Tiempo restante de llegada:", n["timeRemaining"],"minutos.")
print("--------------------------------------------------------------")
#Exportando datos
#def export_data():
# data_x = (data_time[0],data_time[1])
# return data_x
#data_x = (data_time[0],data_time[1])
#print(data_x)