Upgrade your Bambu Lab P1 3D printer experience with the Home Assistant Spaghetti Detection Integration. This integration leverages the power of both the Bambu Lab Integration and the Obico ML server, providing a solution for detecting and handling spaghetti incidents during your prints.

If you like this automation and would like to support it, you can buy me a coffee.

• Spaghetti Detection: Utilize Obico's machine learning server to identify and prevent spaghetti issues.
• Critical/Standard Notifications: Stay informed with customizable notifications.
• Pause/Cancel Print on Failure Detection: Take proactive measures by automatically pausing or canceling print jobs upon the detection of spaghetti-related failures, preventing wasted material and time.

Ensure the following prerequisites are met before installing the Spaghetti Detection Integration:

• Bambu Lab Integration must be installed.
• A server with at least 4GB of RAM that meets the Obico hardware requirements.

NOTE: The integration does not support the following devices:

Follow these steps to set up the Spaghetti Detection Integration:

1. Install Obico ML Server

   • Choose between installing it as a Home Assistant Addon or as a standalone Docker container.

2. Install Bambu Lab P1 - Spaghetti Detection Home Assistant Integration

3. Install Home Assistant Spaghetti Detection Automation Blueprint

For detailed installation instructions and troubleshooting tips, refer to the Installation Guide.

To install Obico ML server as a Home Assistant Add-on you have 2 options:

1. Click the Add Add-On Repository button below, click Add → Close (You might need to enter the internal IP address of your Home Assistant instance first).

2. Add the repository URL under Settings → Add-ons → ADD-ON STORE and click ⋮ → Repositories:

   https://github.com/nberktumer/ha-bambu-lab-p1-spaghetti-detection
   

1. Create docker container using the following command:

   docker create \
     --restart unless-stopped \
     --env ML_API_TOKEN=obico_api_secret \
     --publish 3333:3333 \
     --name ha_bambu_lab_p1_spaghetti_detection \
     nberk/ha_bambu_lab_p1_spaghetti_detection_standalone:latest
   

2. Start the container using the following command:

   docker start ha_bambu_lab_p1_spaghetti_detection
   

1. Download the docker-compose.yaml from the repository

2. Edit the environment variables section in the docker compose yaml:

   environment:
     - ML_API_TOKEN=obico_api_secret
     - TZ=Europe/London
   

3. Run the command:

   docker compose up -d
   

1. Click the button below to download and install the integration:

2. Go to Settings → Devices & services → Add Integration and add Bambu Lab P1 - Spaghetti Detection integration.

Manually copy the contents of the custom_components folder to your Home Assistant config/custom_components folder. After restarting Home Assistant, add and configure the integration through the native integration setup.

1. Click the button below to import the Spaghetti Detection blueprint:

2. Go to the imported blueprint and create the automation:

• Greg Hesp (@greghesp): https://github.com/greghesp/ha-bambulab
• Obico (@TheSpaghettiDetective): https://github.com/TheSpaghettiDetective/obico-server