The portal tracks the status of the two Bambu P1S 3D printers and displays their camera feeds on a screen.
The integration's code is here:
https://github.com/Protospace/telemetry/tree/master/bamboo_tracker
Bambu is misspelled because the author didn't know any better.
This python script runs on the Integrations Server. It's kept running with Supervisor. One instance of the script runs per 3D printer. Every 60 seconds it polls the Home Assistant API and gets the state of all entities. It filters those entities by the printer's serial number and then sends the data to the portal.
The data is handled by printer3d(...) in views.py. The data gets written directly to a global printer3d dictionary that then gets read when the /stats/ route is polled. This is used in the "Protospace Stats" section of the portal's Home page to display when the printers are in use.
Every second the script also polls Home Assistant's camera feed for that printer. The image gets saved as p1s1/pic.jpg or p1s2/pic.jpg. Those two directories are then served statically by the python script. The DisplayBambuCamera(...) component in Display.js then loads them from an nginx proxy running locally on the LCARS3 display in the sewing room. The local proxy is used to bypass HTTPS / CORS.
Set the python script up to run automatically, one time for each printer. Generate API keys in Home Assistant and configure them in secrets.py. You'll need to run the script like this, for example:
python main.py p1s1 1234123412341234 8080
python main.py p1s2 abcdabcdabcdabcd 8081
Make sure ports 8080 and 8081 aren't blocked.
Supervisor config:
[program:p1s1]
user=tanner
directory=/home/tanner/telemetry/bamboo_tracker
environment=PYTHONUNBUFFERED=TRUE
command=/home/tanner/telemetry/bamboo_tracker/env/bin/python main.py p1s1 1234123412341234 8081
stopasgroup=true
stopsignal=INT
autostart=true
autorestart=true
stderr_logfile=/var/log/p1s1.log
stderr_logfile_maxbytes=10MB
stdout_logfile=/var/log/p1s1.log
stdout_logfile_maxbytes=10MB
[program:p1s2]
user=tanner
directory=/home/tanner/telemetry/bamboo_tracker
environment=PYTHONUNBUFFERED=TRUE
command=/home/tanner/telemetry/bamboo_tracker/env/bin/python main.py p1s2 abcdabcdabcdabcd 8082
stopasgroup=true
stopsignal=INT
autostart=true
autorestart=true
stderr_logfile=/var/log/p1s2.log
stderr_logfile_maxbytes=10MB
stdout_logfile=/var/log/p1s2.log
stdout_logfile_maxbytes=10MB
Install nginx, configure /etc/nginx/sites-available/default:
server {
listen 80;
root /var/www/html;
index index.html index.htm;
server_name localhost;
location /p1s1 {
proxy_pass http://172.17.17.181:8081;
proxy_set_header Host $http_host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
add_header Access-Control-Allow-Origin *;
# kill cache
add_header 'cache-control' 'no-cache' always;
if_modified_since off;
expires off;
etag off;
proxy_no_cache 1;
proxy_cache_bypass 1;
}
location /p1s2 {
proxy_pass http://172.17.17.181:8082;
proxy_set_header Host $http_host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
add_header Access-Control-Allow-Origin *;
# kill cache
add_header 'cache-control' 'no-cache' always;
if_modified_since off;
expires off;
etag off;
proxy_no_cache 1;
proxy_cache_bypass 1;
}
}
Where 172.17.17.181 is the IP of the server where the python script is running.