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README.md
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@@ -22,151 +22,154 @@ It runs quietly in the background 24/7, capturing every print, filament change,
## Table of Contents ## Table of Contents
- [Quick Start: One-Click Docker Setup — Beginner Friendly](#quick-start-one-click-docker-setup--beginner-friendly) - [Native Setup (Recommended for Raspberry Pi)](#native-setup-recommended-for-raspberry-pi)
- [What You'll Need](#what-youll-need) - [What You'll Need](#what-youll-need)
- [Step 1: Connect to Your Raspberry Pi](#step-1-connect-to-your-raspberry-pi) - [Step 1: Clone and run setup.sh](#step-1-clone-and-run-setupsh)
- [Step 2: Install Docker](#step-2-install-docker) - [Step 2: Credentials and .env](#step-2-credentials-and-env)
- [Step 3: Download and Configure](#step-3-download-and-configure) - [Step 3: Bambu Cloud authentication](#step-3-bambu-cloud-authentication)
- [Step 4: Build the Container](#step-4-build-the-container) - [Step 4: Dashboard login](#step-4-dashboard-login)
- [Step 5: First-Time Authentication](#step-5-first-time-authentication) - [Step 5: Services start automatically](#step-5-services-start-automatically)
- [Step 6: Start Bambu-Run and Create Your Login](#step-6-start-bambu-run-and-create-your-login) - [Managing Bambu-Run](#managing-bambu-run)
- [Step 7: Open the Dashboard](#step-7-open-the-dashboard) - [Troubleshooting (Native)](#troubleshooting-native)
- [Troubleshooting](#troubleshooting) - [Docker Setup](#docker-setup)
- [Batch Importing Filament Colors and Filament Types](#batch-importing-filament-colors-and-filament-types) - [Batch Importing Filament Colors and Filament Types](#batch-importing-filament-colors-and-filament-types)
--- ---
## Quick Start: One-Click Docker Setup — Beginner Friendly ## Native Setup (Recommended for Raspberry Pi)
Get Bambu-Run running on a **Raspberry Pi** in minutes. No prior server experience needed. No Docker required. Works on any Raspberry Pi (including 32-bit Pi Model B) running Raspberry Pi OS with Python 3.10+.
### What You'll Need ### What You'll Need
- A Raspberry Pi (3B+, 4, or 5) running Raspberry Pi OS 64-bit, with a 32 GB+ MicroSD card, connected to your network - Raspberry Pi on your local network (Python 3.10+ — ships with Raspberry Pi OS Bookworm by default)
- Your Bambu Lab printer on the **same local network** - Bambu Lab printer on the **same local network**
- Your Bambu Lab account **email and password** - Bambu Lab account **email and password**
- A computer to SSH into the Pi
### Step 1: Connect to Your Raspberry Pi ### Step 1: Clone and run setup.sh
From your computer, open a terminal (Mac/Linux) or PowerShell (Windows):
```bash ```bash
ssh pi@raspberrypi.local git clone https://github.com/RunLit/Bambu-Run.git
cd Bambu-Run
bash setup.sh
``` ```
> Can't connect? Use your Pi's IP address (find it in your router's admin page). Default password: `raspberry` The script is fully interactive and idempotent (safe to re-run). It:
### Step 2: Install Docker 1. Checks Python >= 3.10 and installs `python3-venv` if missing
2. Creates `.venv`, stubs opencv to avoid slow ARM compilation, and runs `pip install ".[standalone]"`
3. Prompts for credentials and auto-generates `DJANGO_SECRET_KEY` — writes `.env`
4. Runs `manage.py migrate`
5. Runs `bambu_collector --once` for Bambu Cloud email verification (see Step 3)
6. Runs `manage.py createsuperuser` for your dashboard login
7. Runs `collectstatic`
8. Optionally imports the bundled Bambu filament color catalog
9. Writes and enables `systemd` user services, calls `loginctl enable-linger` so they survive SSH disconnect, and starts them
### Step 2: Credentials and .env
If `.env` doesn't exist, the script prompts for:
| Variable | Description |
|---|---|
| `BAMBU_USERNAME` | Bambu Lab account email |
| `BAMBU_PASSWORD` | Bambu Lab account password |
| `TIMEZONE` | e.g. `America/New_York` (default: `UTC`) |
`DJANGO_SECRET_KEY` is auto-generated. To edit later: `nano .env`, then `./native/bambu-run.sh restart`.
### Step 3: Bambu Cloud authentication
Bambu Lab requires email verification on first login:
1. The script runs `bambu_collector --once` — a 6-digit code is sent to your email
2. Enter the code when prompted
3. A `BAMBU_TOKEN` is printed — paste it when the script asks, and it's appended to `.env`
Future restarts skip verification automatically. To re-authenticate, remove `BAMBU_TOKEN` from `.env` and re-run the script.
### Step 4: Dashboard login
The script runs `manage.py createsuperuser` — choose a username and password for the web dashboard.
### Step 5: Services start automatically
Two systemd user services are installed and started:
| Service | Role |
|---|---|
| `bambu-run-web` | gunicorn on port 8000 (1 worker <1 GB RAM, 2 workers otherwise) |
| `bambu-run-collector` | MQTT poller, restarts on failure |
Both auto-start on boot via `loginctl enable-linger`. Open `http://<pi-ip>:8000` from any device on your network.
### Managing Bambu-Run
```bash ```bash
curl -fsSL https://get.docker.com | sudo sh ./native/bambu-run.sh status # service status
sudo usermod -aG docker $USER ./native/bambu-run.sh logs # tail live logs (Ctrl+C to stop)
./native/bambu-run.sh restart # restart both services
./native/bambu-run.sh stop # stop everything
./native/bambu-run.sh update # git pull + pip install + migrate + restart
``` ```
Log out and back in for the change to take effect, then verify: ### Troubleshooting (Native)
**Services die when SSH disconnects:** `sudo loginctl enable-linger $USER`
**Services not starting:** `./native/bambu-run.sh status` and `./native/bambu-run.sh logs`
**Auth errors / token expired:** Remove `BAMBU_TOKEN` from `.env` and re-run `bash setup.sh`
**Uninstall:**
```bash ```bash
exit systemctl --user disable --now bambu-run-web bambu-run-collector
rm ~/.config/systemd/user/bambu-run-{web,collector}.service
systemctl --user daemon-reload
``` ```
```bash ---
ssh pi@raspberrypi.local
docker --version # should show Docker version 27.x.x
```
> Installation issues? See: https://docs.docker.com/engine/install/raspberry-pi-os/ ## Docker Setup
### Step 3: Download and Configure Requires Docker and Docker Compose installed. Assumes you already know how to get there.
**Clone and configure:**
```bash ```bash
git clone https://github.com/RunLit/Bambu-Run.git git clone https://github.com/RunLit/Bambu-Run.git
cd Bambu-Run cd Bambu-Run
cp .env.example .env cp .env.example .env
nano .env # Edit .env: set BAMBU_USERNAME, BAMBU_PASSWORD, TIMEZONE
``` ```
Fill in your Bambu Lab credentials: **First-time auth** (Bambu Lab sends a 6-digit verification code to your email):
```
BAMBU_USERNAME=your_email@example.com
BAMBU_PASSWORD=your_password
TIMEZONE=Australia/Melbourne # optional — find yours at https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
```
Save: `Ctrl + X`, `Y`, `Enter`
### Step 4: Build the Container
```bash ```bash
docker compose build docker compose build
```
This takes a few minutes the first time — it downloads all required software.
### Step 5: First-Time Authentication
Bambu Lab requires email verification on first login. Run these two commands:
```bash
docker compose run --rm bambu-run python standalone/manage.py migrate --noinput docker compose run --rm bambu-run python standalone/manage.py migrate --noinput
docker compose run --rm bambu-run python standalone/manage.py bambu_collector --once docker compose run --rm bambu-run python standalone/manage.py bambu_collector --once
# Paste the printed token into .env as BAMBU_TOKEN=...
``` ```
When prompted, enter the 6-digit code sent to your email. On success you'll see a token printed — copy it and add it to your `.env`: **Start and create your dashboard login:**
```bash
nano .env
```
```
BAMBU_TOKEN=eyJhbGciOiJIUzI1N...paste_full_token_here
```
> Saving the token lets future restarts skip re-verification automatically.
### Step 6: Start Bambu-Run and Create Your Login
```bash ```bash
docker compose up -d docker compose up -d
docker compose exec bambu-run python standalone/manage.py createsuperuser docker compose exec bambu-run python standalone/manage.py createsuperuser
``` ```
Choose a username and password — this is your dashboard login. Dashboard is at `http://<host-ip>:8000`.
### Step 7: Open the Dashboard **Common operations:**
On any device on your network, open a browser and go to:
```
http://raspberrypi.local:8000
```
> If that doesn't work, use your Pi's IP: `http://<pi-ip-address>:8000`
Log in with the account you just created. Your printer dashboard should be live.
### Troubleshooting
**No data / cannot connect to printer:** Make sure the printer is on and on the same network. Check logs: `docker compose logs -f`. If you see auth errors, re-run Step 5 to get a fresh token.
**401 Unauthorized / verification loop:** Remove `BAMBU_TOKEN` from `.env` and re-run Step 5.
**Docker daemon error:** Log out and back in after Step 2 — the group change requires a new session.
**Dashboard not loading:** Run `docker compose ps` to confirm the service is `Up`, then try the Pi's IP address directly.
**Update Bambu-Run:**
```bash ```bash
cd ~/Bambu-Run && git pull && docker compose up -d --build docker compose logs -f # live logs
docker compose down # stop (data preserved in volume)
git pull && docker compose up -d --build # update
``` ```
**Stop Bambu-Run:** **Troubleshooting:** Auth errors → remove `BAMBU_TOKEN` from `.env` and re-run the auth step. No data → check `docker compose logs -f` for MQTT connection errors.
```bash
docker compose down
```
Your data is preserved in a Docker volume and will be there when you start it again.
--- ---

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native/bambu-run-collector.service Normal file
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[Unit]
Description=Bambu-Run MQTT Collector
After=network.target
[Service]
Type=exec
WorkingDirectory={{REPO_DIR}}
EnvironmentFile={{REPO_DIR}}/.env
Environment=DJANGO_SETTINGS_MODULE=standalone.settings
ExecStart={{VENV_DIR}}/bin/python standalone/manage.py bambu_collector
Restart=on-failure
RestartSec=10
[Install]
WantedBy=default.target

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native/bambu-run-web.service Normal file
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[Unit]
Description=Bambu-Run Web Dashboard
After=network.target
[Service]
Type=exec
WorkingDirectory={{REPO_DIR}}
EnvironmentFile={{REPO_DIR}}/.env
Environment=DJANGO_SETTINGS_MODULE=standalone.settings
ExecStart={{VENV_DIR}}/bin/gunicorn standalone.wsgi:application --bind 0.0.0.0:8000 --workers {{WORKERS}} --timeout 120
Restart=on-failure
RestartSec=5
[Install]
WantedBy=default.target

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native/bambu-run.sh Executable file
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#!/usr/bin/env bash
# Bambu-Run convenience wrapper
# Usage: ./native/bambu-run.sh {start|stop|restart|status|logs|update}
set -euo pipefail
REPO_DIR="$(cd "$(dirname "$0")/.." && pwd)"
VENV_DIR="$REPO_DIR/.venv"
MANAGE="$VENV_DIR/bin/python $REPO_DIR/standalone/manage.py"
SERVICES="bambu-run-web.service bambu-run-collector.service"
case "${1:-help}" in
start)
systemctl --user start $SERVICES
echo "Bambu-Run started."
;;
stop)
systemctl --user stop $SERVICES
echo "Bambu-Run stopped."
;;
restart)
systemctl --user restart $SERVICES
echo "Bambu-Run restarted."
;;
status)
systemctl --user status $SERVICES --no-pager
;;
logs)
journalctl --user -u bambu-run-web -u bambu-run-collector -f --no-hostname
;;
update)
echo "Pulling latest code..."
cd "$REPO_DIR" && git pull
echo "Installing dependencies..."
"$VENV_DIR/bin/pip" install --quiet ".[standalone]"
echo "Running migrations..."
$MANAGE migrate --noinput
echo "Collecting static files..."
$MANAGE collectstatic --noinput --clear 2>/dev/null
echo "Restarting services..."
systemctl --user restart $SERVICES
echo "Update complete."
;;
help|*)
echo "Usage: $0 {start|stop|restart|status|logs|update}"
echo
echo " start Start web + collector services"
echo " stop Stop web + collector services"
echo " restart Restart web + collector services"
echo " status Show service status"
echo " logs Tail live logs (Ctrl+C to stop)"
echo " update Pull latest code, install deps, migrate, restart"
;;
esac

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setup.sh Executable file
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#!/usr/bin/env bash
# Bambu-Run Native Setup — single entry point for Raspberry Pi (or any Linux)
# Usage: git clone ... && cd Bambu-Run && bash setup.sh
set -euo pipefail
REPO_DIR="$(cd "$(dirname "$0")" && pwd)"
VENV_DIR="$REPO_DIR/.venv"
ENV_FILE="$REPO_DIR/.env"
MANAGE="$VENV_DIR/bin/python $REPO_DIR/standalone/manage.py"
SERVICE_DIR="$HOME/.config/systemd/user"
green() { printf '\033[1;32m%s\033[0m\n' "$*"; }
yellow() { printf '\033[1;33m%s\033[0m\n' "$*"; }
red() { printf '\033[1;31m%s\033[0m\n' "$*"; }
# ── 1. Pre-flight checks ─────────────────────────────────────────────────────
green "=== Bambu-Run Native Setup ==="
echo
# Python >= 3.10
PYTHON=""
for cmd in python3.12 python3.11 python3.10 python3; do
if command -v "$cmd" &>/dev/null; then
ver=$("$cmd" -c 'import sys; print(f"{sys.version_info.major}.{sys.version_info.minor}")')
major=${ver%%.*}
minor=${ver##*.}
if [ "$major" -ge 3 ] && [ "$minor" -ge 10 ]; then
PYTHON="$cmd"
break
fi
fi
done
if [ -z "$PYTHON" ]; then
red "Error: Python >= 3.10 is required."
echo "Install it with: sudo apt install python3"
exit 1
fi
green "Found $PYTHON ($ver)"
# Ensure python3-venv is available
if ! "$PYTHON" -m venv --help &>/dev/null; then
yellow "Installing python3-venv..."
sudo apt-get update -qq && sudo apt-get install -y -qq python3-venv
fi
# Detect RAM for gunicorn worker count
TOTAL_RAM_KB=$(grep MemTotal /proc/meminfo 2>/dev/null | awk '{print $2}' || echo 0)
if [ "$TOTAL_RAM_KB" -lt 1048576 ]; then
WORKERS=1
else
WORKERS=2
fi
# ── 2. Venv + install ────────────────────────────────────────────────────────
if [ ! -d "$VENV_DIR" ]; then
green "Creating virtual environment..."
"$PYTHON" -m venv "$VENV_DIR"
else
yellow "Virtual environment already exists, reusing."
fi
green "Installing dependencies..."
# Stub opencv-python (same trick as Dockerfile — avoids hour-long ARM build)
"$VENV_DIR/bin/python" -c "
import site, pathlib
d = pathlib.Path(site.getsitepackages()[0]) / 'opencv_python-4.99.0.dist-info'
if not d.exists():
d.mkdir()
(d / 'METADATA').write_text('Metadata-Version: 2.1\nName: opencv-python\nVersion: 4.99.0\n')
(d / 'INSTALLER').write_text('pip\n')
(d / 'RECORD').write_text('')
print(' opencv stub created')
else:
print(' opencv stub already exists')
"
"$VENV_DIR/bin/pip" install --quiet --upgrade pip
"$VENV_DIR/bin/pip" install --quiet ".[standalone]"
# ── 3. Interactive .env ───────────────────────────────────────────────────────
if [ ! -f "$ENV_FILE" ]; then
green "Setting up .env configuration..."
echo
read -rp "Bambu Lab email: " BAMBU_USERNAME
read -rsp "Bambu Lab password: " BAMBU_PASSWORD
echo
read -rp "Timezone [UTC] (e.g. America/New_York): " TIMEZONE
TIMEZONE="${TIMEZONE:-UTC}"
# Generate a random Django secret key
DJANGO_SECRET_KEY=$("$VENV_DIR/bin/python" -c "import secrets; print(secrets.token_urlsafe(50))")
cat > "$ENV_FILE" <<EOF
BAMBU_USERNAME=$BAMBU_USERNAME
BAMBU_PASSWORD=$BAMBU_PASSWORD
TIMEZONE=$TIMEZONE
DJANGO_SECRET_KEY=$DJANGO_SECRET_KEY
DEBUG=False
EOF
green ".env created."
else
yellow ".env already exists, skipping."
fi
# ── 4. Migrate ────────────────────────────────────────────────────────────────
green "Running database migrations..."
$MANAGE migrate --noinput
# ── 5. Bambu authentication ──────────────────────────────────────────────────
if ! grep -q '^BAMBU_TOKEN=' "$ENV_FILE" 2>/dev/null; then
green "Authenticating with Bambu Lab (email verification required)..."
echo "A verification code will be sent to your email."
echo
# Run collector in --once mode for interactive auth
$MANAGE bambu_collector --once || true
echo
read -rp "Paste your BAMBU_TOKEN from above (or press Enter to skip): " TOKEN
if [ -n "$TOKEN" ]; then
echo "BAMBU_TOKEN=$TOKEN" >> "$ENV_FILE"
green "Token saved to .env."
else
yellow "Skipped — you can add BAMBU_TOKEN to .env later."
fi
else
yellow "BAMBU_TOKEN already in .env, skipping auth."
fi
# ── 6. Superuser ─────────────────────────────────────────────────────────────
echo
green "Create your dashboard login (Django superuser):"
$MANAGE createsuperuser || yellow "Superuser creation skipped."
# ── 7. Collect static files ──────────────────────────────────────────────────
green "Collecting static files..."
$MANAGE collectstatic --noinput --clear 2>/dev/null
# ── 8. Seed filament colors ──────────────────────────────────────────────────
echo
read -rp "Import Bambu Lab filament color catalog? [Y/n] " SEED_COLORS
SEED_COLORS="${SEED_COLORS:-Y}"
if [[ "$SEED_COLORS" =~ ^[Yy] ]]; then
$MANAGE bambu_import_colors "$REPO_DIR/docs/Bambu_Color_Catalog/"
fi
# ── 9. Install systemd services ──────────────────────────────────────────────
green "Installing systemd user services..."
mkdir -p "$SERVICE_DIR"
# Generate unit files with actual paths substituted
sed "s|{{REPO_DIR}}|$REPO_DIR|g; s|{{VENV_DIR}}|$VENV_DIR|g; s|{{WORKERS}}|$WORKERS|g" \
"$REPO_DIR/native/bambu-run-web.service" > "$SERVICE_DIR/bambu-run-web.service"
sed "s|{{REPO_DIR}}|$REPO_DIR|g; s|{{VENV_DIR}}|$VENV_DIR|g" \
"$REPO_DIR/native/bambu-run-collector.service" > "$SERVICE_DIR/bambu-run-collector.service"
systemctl --user daemon-reload
systemctl --user enable bambu-run-web.service bambu-run-collector.service
# Enable linger so services survive SSH logout
loginctl enable-linger "$USER" 2>/dev/null || \
sudo loginctl enable-linger "$USER" 2>/dev/null || \
yellow "Warning: Could not enable linger. Services may stop when you disconnect SSH."
systemctl --user start bambu-run-web.service bambu-run-collector.service
# ── 10. Summary ───────────────────────────────────────────────────────────────
PI_IP=$(hostname -I 2>/dev/null | awk '{print $1}')
echo
green "============================================"
green " Bambu-Run is running!"
green "============================================"
echo
echo " Dashboard: http://${PI_IP:-localhost}:8000"
echo " Status: systemctl --user status bambu-run-web bambu-run-collector"
echo " Logs: journalctl --user -u bambu-run-web -u bambu-run-collector -f"
echo " Helper: ./native/bambu-run.sh {start|stop|restart|status|logs|update}"
echo
echo " Services auto-start on boot. Safe to close SSH."
echo

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standalone/manage.py
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@@ -5,7 +5,15 @@ import sys
# Ensure the project root (/app) is on sys.path so that both 'standalone' # Ensure the project root (/app) is on sys.path so that both 'standalone'
# and 'bambu_run' are importable regardless of where this script is invoked from. # and 'bambu_run' are importable regardless of where this script is invoked from.
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, PROJECT_ROOT)
# Load .env so manage.py commands pick up env vars outside of systemd/Docker
try:
from dotenv import load_dotenv
load_dotenv(os.path.join(PROJECT_ROOT, ".env"))
except ImportError:
pass
def main(): def main():