Bambu Lab - Spaghetti Detection Integration

Upgrade your Bambu Lab 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.

Features

• Spaghetti Detection: Utilize Obico's machine learning server to identify and prevent spaghetti issues.
• Critical/Standard Notifications: Stay informed with customizable notifications.
• Warn/Pause/Cancel Print on Failure Detection: Take proactive measures by automatically warning, pausing or canceling print jobs upon the detection of spaghetti-related failures, preventing wasted material and time.
• Third Party Camera Support: Any camera entity can also be used for detecting failures.

Supported Printers

Device	Compatibility
X1 Series	✔️
P1 Series	✔️
A1 Series	✔️

Prerequisites

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:

Device	Compatibility
Raspberry Pi (Any Model)	❌
Home Assistant Green	❌
Home Assistant Yellow	❌
Latte Panda	❌
Jetson Nano 2gb	❌

Setup

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.

1. Install Obico ML Server

Install Obico ML Server as Home Assistant Addon

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).

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

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

Install Obico ML Server as a Standalone Docker Container

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
   

Install Obico ML Server as a Standalone Docker Container with Docker Compose

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
   

2. Install Home Assistant Integration

HACS

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

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

Manual

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.

3. Install Home Assistant Automation Blueprint

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

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

Blueprint Parameters

Parameter	Description
Home Assistant Host	The address of your Home Assistant instance. Required for sending the printer camera image to the Obico ML server. Ensure to include your Home Assistant port. This address is also used for notification images. If you wish to view failure images on notifications outside your local network, provide a publicly accessible link here.
Obico ML API Host	The URL of the Obico ML Server. The default port number is 3333. If you installed the ML server via the Home Assistant Addon, the IP address should match your Home Assistant address.
Obico ML API Auth Token	The authentication token for the Obico ML Server. The default value is obico_api_secret and can be configured through the addon settings or the docker container create command.
Notification Settings	- Critical Notification: Generates an audible alert even when your device is in silent mode. - Standard Notification: Sends a traditional notification respecting your device's audio settings. - None: No notifications are sent in case of a failure.
Notification Service	The notification service of your choice for selecting a single device or a group of devices, instead of alerting all mobile devices registered in home assistant. The default is notify.notify, which notifies all devices.

Credits

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