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README.md
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README.md
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# Bambu-Run
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Unlock richer data access and powerful customization capabilities for your Bambu Lab 3D printer.
|
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<p align="center">
|
||||
<img src="docs/BambuRun.png" alt="Bambu-Run Logo" width="300"/>
|
||||
</p>
|
||||
|
||||
Bambu-Run is a self-hosted web dashboard that tracks data of your Bambu Lab printer. It gives you:
|
||||
- Real-time monitoring and logging (temperatures, fan speeds, print progress etc)
|
||||
- Automatic filament inventory tracking and usage monitoring system (AMS required)
|
||||
all running on hardware you own.
|
||||
Richer data, powerful customization for your Bambu Lab 3D printer.
|
||||
|
||||
### Hardware Requirement
|
||||
Bambu-Run is a self-hosted web dashboard that gives you:
|
||||
- Real-time monitoring and logging (temperatures, fan speeds, print progress, and more)
|
||||
- Automatic filament inventory tracking and usage monitoring (AMS required)
|
||||
|
||||
Recommend a raspberry pi, installed with Raspberry Pi OS (low cost running at the background) or an old PC/Laptop you probably never going to use again (install Linux).
|
||||
|
||||
## Getting Started (Beginner Friendly)
|
||||
|
||||
This guide walks you through setting up Bambu-Run on a **Raspberry Pi** from scratch. No prior server experience needed.
|
||||
All running on hardware you own.
|
||||
|
||||
### What You'll Need
|
||||
|
||||
- A Raspberry Pi (3B+, 4, or 5) with Raspberry Pi OS installed and connected to your network
|
||||
- Your Bambu Lab printer on the **same local network** as the Pi
|
||||
- Your printer's **IP address**, **access token**, and **serial number** (we'll show you how to find these below)
|
||||
- A computer on the same network to SSH into the Pi
|
||||
Any always-on device works — a **Raspberry Pi** (3B+, 4, or 5) is ideal: beginner-friendly, runs Raspberry Pi OS out of the box, and quiet enough to tuck behind a desk. An old PC or laptop with Linux works too.
|
||||
|
||||
### Step 1: Find Your Bambu Lab Account Credentials
|
||||
It runs quietly in the background 24/7, capturing every print, filament change, and AMS update the moment it happens. And the power bill? A Raspberry Pi 4 under light load draws about **5W**. That's roughly **43.8 kWh per year**, or the cost of **three cups of coffee**. ☕☕☕ Tuck it out of sight and forget it's there.
|
||||
|
||||
Bambu-Run connects to your printer through the **Bambu Lab Cloud** using your account login — the same email and password you use for Bambu Handy or Bambu Studio.
|
||||
---
|
||||
|
||||
You'll need:
|
||||
- **BAMBU_USERNAME** — Your Bambu Lab account email
|
||||
- **BAMBU_PASSWORD** — Your Bambu Lab account password
|
||||
## Table of Contents
|
||||
|
||||
> **First-time login requires email verification.** Bambu Lab will send a 6-digit code to your email. You'll enter this code during Step 5a below. After that, you'll receive a token that skips verification on future startups.
|
||||
- [Native Setup (Recommended for Raspberry Pi)](#native-setup-recommended-for-raspberry-pi)
|
||||
- [What You'll Need](#what-youll-need)
|
||||
- [Clone and run setup.sh](#clone-and-run-setupsh)
|
||||
- [Managing Bambu-Run](#managing-bambu-run)
|
||||
- [Troubleshooting (Native)](#troubleshooting-native)
|
||||
- [Docker Setup](#docker-setup)
|
||||
- [Batch Importing Filament Colors and Filament Types](#batch-importing-filament-colors-and-filament-types)
|
||||
|
||||
### Step 2: Connect to Your Raspberry Pi
|
||||
---
|
||||
|
||||
From your computer, open a terminal (Mac/Linux) or PowerShell (Windows) and SSH into the Pi:
|
||||
## Native Setup (Recommended for Raspberry Pi)
|
||||
|
||||
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
|
||||
|
||||
- Raspberry Pi on your local network (Python 3.10+)
|
||||
- Bambu Lab printer
|
||||
- Bambu Lab account **email and password**
|
||||
|
||||
### Clone and run setup.sh
|
||||
|
||||
```bash
|
||||
ssh pi@raspberrypi.local
|
||||
```
|
||||
|
||||
> If `raspberrypi.local` doesn't work, use your Pi's IP address instead (check your router's admin page to find it).
|
||||
|
||||
The default password is `raspberry` (you should change it after first login with `passwd`).
|
||||
|
||||
### Step 3: Install Docker
|
||||
|
||||
Docker lets you run Bambu-Run in a container — no need to install Python, databases, or anything else manually.
|
||||
|
||||
Run these commands one at a time:
|
||||
|
||||
```bash
|
||||
# Download and run Docker's install script
|
||||
curl -fsSL https://get.docker.com | sudo sh
|
||||
|
||||
# Let your user run Docker without sudo
|
||||
sudo usermod -aG docker $USER
|
||||
```
|
||||
Installation issue? check installation methods for raspberry pi: https://docs.docker.com/engine/install/raspberry-pi-os/#installation-methods
|
||||
|
||||
**Important:** Log out and log back in for the group change to take effect:
|
||||
|
||||
```bash
|
||||
exit
|
||||
```
|
||||
|
||||
Then SSH back in:
|
||||
|
||||
```bash
|
||||
ssh pi@raspberrypi.local
|
||||
```
|
||||
|
||||
Verify Docker is working:
|
||||
|
||||
```bash
|
||||
docker --version
|
||||
```
|
||||
|
||||
You should see something like `Docker version 27.x.x` — the exact number doesn't matter.
|
||||
|
||||
### Step 4: Download and Configure Bambu-Run
|
||||
|
||||
```bash
|
||||
# Clone the project
|
||||
git clone https://github.com/RunLit/Bambu-Run.git
|
||||
cd Bambu-Run
|
||||
|
||||
# Create your configuration file
|
||||
cp .env.example .env
|
||||
bash setup.sh
|
||||
```
|
||||
|
||||
Now edit the `.env` file with your printer details:
|
||||
That's it! The script handles everything interactively, just answer the prompts. When it finishes, open `http://<ip>` from any device on same network.
|
||||
|
||||
The script is safe to re-run at any time.
|
||||
|
||||
---
|
||||
|
||||
**What the script does**:
|
||||
|
||||
- **Dependencies**: creates a Python virtual environment, installs all packages
|
||||
- **Credentials**: prompts for your **BambuLab Cloud account** email, password, and timezone; auto-generates a `DJANGO_SECRET_KEY`; writes `.env`
|
||||
- **Bambu Cloud auth**: runs `bambu_collector --once`;
|
||||
- Bambu Lab will send a 6-digit code to your email; check you email box and enter it when prompted;
|
||||
- the resulting token is saved to `.env` automatically; future restarts skip this step
|
||||
- **Dashboard login**: runs `createsuperuser`; choose a username and password for Bambu-Run web UI log in
|
||||
- **Services**: installs and starts two systemd services (`bambu-run-web` and `bambu-run-collector`), enables linger so they auto-start on boot
|
||||
- **Port 80**: sets an `iptables` redirect (80 to 8000) so you can reach the dashboard at a plain `http://<pi-ip>` with no port number; persisted via `iptables-persistent` across reboots.
|
||||
|
||||
---
|
||||
|
||||
### Managing Bambu-Run
|
||||
|
||||
All commands manage Bambu-Run encapsulated in `./native/bambu-run.sh`. Alternatively, you can do it yourself with systemctl commands.
|
||||
```bash
|
||||
./native/bambu-run.sh status # service status
|
||||
./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
|
||||
```
|
||||
|
||||
### 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
|
||||
systemctl --user disable --now bambu-run-web bambu-run-collector
|
||||
rm ~/.config/systemd/user/bambu-run-{web,collector}.service
|
||||
systemctl --user daemon-reload
|
||||
```
|
||||
|
||||
**Wipe everything and start over:**
|
||||
```bash
|
||||
# Stop and remove services
|
||||
systemctl --user stop bambu-run-web bambu-run-collector
|
||||
systemctl --user disable bambu-run-web bambu-run-collector
|
||||
rm ~/.config/systemd/user/bambu-run-{web,collector}.service
|
||||
systemctl --user daemon-reload
|
||||
|
||||
# Remove port redirect (replace 80 with whatever port you chose during setup)
|
||||
sudo iptables -t nat -D PREROUTING -p tcp --dport 80 -j REDIRECT --to-port 8000 2>/dev/null || true
|
||||
sudo iptables -t nat -D OUTPUT -o lo -p tcp --dport 80 -j REDIRECT --to-port 8000 2>/dev/null || true
|
||||
sudo netfilter-persistent save 2>/dev/null || true
|
||||
|
||||
# Delete repo — wipes venv, database, and .env
|
||||
cd ~
|
||||
rm -rf ~/Bambu-Run
|
||||
|
||||
# Re-clone and run setup from scratch
|
||||
git clone https://github.com/RunLit/Bambu-Run.git
|
||||
cd Bambu-Run
|
||||
bash setup.sh
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Docker Setup
|
||||
|
||||
Requires Docker and Docker Compose installed. Assumes you already know how to get there.
|
||||
|
||||
**Clone and configure:**
|
||||
|
||||
```bash
|
||||
nano .env
|
||||
git clone https://github.com/RunLit/Bambu-Run.git
|
||||
cd Bambu-Run
|
||||
cp .env.example .env
|
||||
# Edit .env: set BAMBU_USERNAME, BAMBU_PASSWORD, TIMEZONE
|
||||
```
|
||||
|
||||
Fill in your Bambu Lab account credentials from Step 1:
|
||||
|
||||
```
|
||||
BAMBU_USERNAME=your_email@example.com
|
||||
BAMBU_PASSWORD=your_password
|
||||
```
|
||||
|
||||
Optionally set your timezone (defaults to UTC):
|
||||
|
||||
```
|
||||
TIMEZONE=Australia/Melbourne
|
||||
```
|
||||
|
||||
> You can find your timezone name at https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
|
||||
|
||||
To save and exit nano: press `Ctrl + X`, then `Y`, then `Enter`.
|
||||
|
||||
### Step 5: Build and Start Bambu-Run
|
||||
|
||||
First, build the container:
|
||||
**First-time auth** (Bambu Lab sends a 6-digit verification code to your email):
|
||||
|
||||
```bash
|
||||
docker compose build
|
||||
```
|
||||
|
||||
This downloads all required software (takes a few minutes the first time).
|
||||
|
||||
### Step 5a: First-Time Authentication
|
||||
|
||||
The first time you connect, Bambu Lab requires email verification. You need to run the collector **interactively** (not in the background) so you can enter the 6-digit code.
|
||||
|
||||
First, set up the database:
|
||||
|
||||
```bash
|
||||
docker compose run --rm bambu-run python standalone/manage.py migrate --noinput
|
||||
```
|
||||
|
||||
Then run the collector (this is what triggers Bambu Lab to send the verification email):
|
||||
|
||||
```bash
|
||||
docker compose run --rm bambu-run python standalone/manage.py bambu_collector --once
|
||||
# Paste the printed token into .env as BAMBU_TOKEN=...
|
||||
```
|
||||
|
||||
You'll see output like:
|
||||
|
||||
```
|
||||
BambuLab Authentication
|
||||
Authenticating as: your_email@example.com
|
||||
...
|
||||
EMAIL VERIFICATION REQUIRED
|
||||
A verification code has been sent to your email.
|
||||
Enter verification code:
|
||||
```
|
||||
|
||||
1. Check your email for the 6-digit code from Bambu Lab
|
||||
2. Type the code and press Enter
|
||||
3. On success, you'll see a token printed:
|
||||
```
|
||||
Authentication successful!
|
||||
Token: eyJhbGciOiJIUzI1N...
|
||||
TIP: Save this token to BAMBU_TOKEN env var to skip login next time
|
||||
```
|
||||
|
||||
4. **Copy the full token** and paste it into your `.env` file:
|
||||
```bash
|
||||
nano .env
|
||||
```
|
||||
Add/uncomment the `BAMBU_TOKEN` line:
|
||||
```
|
||||
BAMBU_TOKEN=eyJhbGciOiJIUzI1N...paste_full_token_here
|
||||
```
|
||||
|
||||
> **Why save the token?** With the token saved, future container restarts authenticate instantly without needing email verification again. Without it, you'd need to repeat this step every time the container restarts.
|
||||
|
||||
### Step 5b: Start Bambu-Run
|
||||
|
||||
Now start everything in the background:
|
||||
**Start and create your dashboard login:**
|
||||
|
||||
```bash
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
Check that it's running:
|
||||
|
||||
```bash
|
||||
docker compose ps
|
||||
```
|
||||
|
||||
You should see the `bambu-run` service with status `Up`.
|
||||
|
||||
### Step 6: Create Your Login Account
|
||||
|
||||
```bash
|
||||
docker compose exec bambu-run python standalone/manage.py createsuperuser
|
||||
```
|
||||
|
||||
You'll be prompted to choose a username, email (optional), and password. This is your login for the dashboard.
|
||||
Dashboard is at `http://<host-ip>:8000`.
|
||||
|
||||
### Step 7: Open the Dashboard
|
||||
**Common operations:**
|
||||
|
||||
On any device connected to your network (phone, tablet, computer), open a browser and go to:
|
||||
|
||||
```
|
||||
http://raspberrypi.local:8000
|
||||
```
|
||||
|
||||
> If that doesn't work, use your Pi's IP address: `http://<pi-ip-address>:8000`
|
||||
|
||||
Log in with the account you just created. You should see your printer dashboard with live data flowing in.
|
||||
|
||||
### Troubleshooting
|
||||
|
||||
**"Cannot connect to printer" or no data showing:**
|
||||
- Make sure your printer is turned on and connected to the network
|
||||
- Check the logs: `docker compose logs -f`
|
||||
- If you see authentication errors, your token may have expired — re-run Step 5a to get a fresh token
|
||||
|
||||
**"Verification code" or "401 Unauthorized" errors:**
|
||||
- Your `BAMBU_TOKEN` may have expired. Remove it from `.env` and re-run Step 5a
|
||||
- Make sure `BAMBU_USERNAME` and `BAMBU_PASSWORD` are correct in your `.env` file
|
||||
|
||||
**"Cannot connect to Docker daemon":**
|
||||
- Did you log out and back in after Step 3? Docker group changes require a new session
|
||||
|
||||
**Dashboard not loading in browser:**
|
||||
- Verify the container is running: `docker compose ps`
|
||||
- Try using the Pi's IP address instead of `raspberrypi.local`
|
||||
|
||||
**Updating to a newer version:**
|
||||
```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
|
||||
```
|
||||
|
||||
**Stopping 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.
|
||||
|
||||
---
|
||||
|
||||
## Batch Importing Filament Colors and Filament Types
|
||||
|
||||
Bambu-Run ships with a full Bambu Lab color catalog under `docs/Bambu_Color_Catalog/` (one `.txt` file per filament sub-type, e.g. `PLA Basic.txt`, `PETG HF.txt`). Importing these populates the **Filament Colors** database so the dashboard shows proper color names instead of raw hex codes.
|
||||
|
||||
### Adding your own colors
|
||||
|
||||
Need a filament type that isn't in the bundled catalog? Create your own `.txt` file and point the importer at it.
|
||||
|
||||
**File naming** — the filename determines the filament type and sub-type:
|
||||
```
|
||||
PLA Basic.txt → type: PLA, sub-type: PLA Basic
|
||||
PETG HF.txt → type: PETG, sub-type: PETG HF
|
||||
ABS.txt → type: ABS, sub-type: ABS
|
||||
```
|
||||
|
||||
**File format** — list each color on its own line, either as two rows (name then hex) or on the same line:
|
||||
```
|
||||
Jade White
|
||||
Hex:#FFFFFF
|
||||
|
||||
Black Walnut #4F3F24
|
||||
```
|
||||
|
||||
Bambu Lab's website filament pages and their downloadable PDF catalogs are a reliable source — both list color names alongside hex codes you can copy directly.
|
||||
|
||||
### When to run this
|
||||
|
||||
Run the import **once after first setup** to seed the full color catalog in one go, rather than adding colors one by one. Run it again any time you want to add colors for a new filament type. Re-running is always safe — duplicates are detected and skipped automatically.
|
||||
|
||||
### Import all colors (recommended)
|
||||
|
||||
If the container is already running (`docker compose up -d`):
|
||||
|
||||
```bash
|
||||
docker compose down
|
||||
docker compose exec bambu-run python standalone/manage.py bambu_import_colors docs/Bambu_Color_Catalog/
|
||||
```
|
||||
|
||||
Your data is preserved in a Docker volume and will be there when you start it again.
|
||||
If the container is not running yet:
|
||||
|
||||
```bash
|
||||
docker compose run --rm bambu-run python standalone/manage.py bambu_import_colors docs/Bambu_Color_Catalog/
|
||||
```
|
||||
|
||||
### Import a file from your computer
|
||||
|
||||
If your `.txt` color file lives on your Mac, Pi, or any machine running Docker (i.e. not inside the repo), copy it into the container first, then run the importer:
|
||||
|
||||
```bash
|
||||
# Step 1 — copy the file from your machine into the container
|
||||
docker compose cp /path/to/your/PLA\ Basic.txt bambu-run:/tmp/
|
||||
|
||||
# Step 2 — run the importer against the copied path
|
||||
docker compose exec bambu-run python standalone/manage.py bambu_import_colors /tmp/PLA\ Basic.txt
|
||||
```
|
||||
|
||||
To import a whole folder of files at once:
|
||||
|
||||
```bash
|
||||
# Step 1 — copy the folder
|
||||
docker compose cp /path/to/your/color_catalog/ bambu-run:/tmp/color_catalog/
|
||||
|
||||
# Step 2 — import everything in it
|
||||
docker compose exec bambu-run python standalone/manage.py bambu_import_colors /tmp/color_catalog/
|
||||
```
|
||||
|
||||
> **macOS tip:** You can drag a file from Finder into the terminal to paste its full path.
|
||||
|
||||
### Import a single filament type
|
||||
|
||||
To import only one sub-type from the bundled catalog (e.g. just PLA Basic):
|
||||
|
||||
```bash
|
||||
docker compose exec bambu-run python standalone/manage.py bambu_import_colors "docs/Bambu_Color_Catalog/PLA Basic.txt"
|
||||
```
|
||||
|
||||
### Preview before importing (dry run)
|
||||
|
||||
Check what would be added without writing anything to the database:
|
||||
|
||||
```bash
|
||||
docker compose exec bambu-run python standalone/manage.py bambu_import_colors docs/Bambu_Color_Catalog/ --dry-run
|
||||
```
|
||||
|
||||
### What the output means
|
||||
|
||||
```
|
||||
Processing: PLA Basic.txt → type='PLA' sub_type='PLA Basic'
|
||||
Parsed 40 color(s).
|
||||
+ 'Bambu Green' #009F87 (PLA / PLA Basic)
|
||||
+ 'Jade White' #FFFFFF (PLA / PLA Basic)
|
||||
...
|
||||
──────────────────────────────────────────────────
|
||||
Created: 40
|
||||
Skipped (duplicate): 0
|
||||
```
|
||||
|
||||
- **Created** — new color entries added to the database
|
||||
- **Skipped (duplicate)** — already existed, not changed
|
||||
- **Skipped (no type)** — only shown if `--no-auto-create-filament-type` is used and the filament type isn't in the database yet
|
||||
|
||||
@@ -332,7 +332,6 @@ class Command(BaseCommand):
|
||||
color_code = strip_color_padding(mqtt_color)
|
||||
color_hex = f"#{color_code}" if color_code else None
|
||||
|
||||
color_name = mqtt_color
|
||||
filament_color = match_filament_color(
|
||||
filament_type=type_val,
|
||||
filament_sub_type=sub_type,
|
||||
@@ -345,7 +344,7 @@ class Command(BaseCommand):
|
||||
if self.verbose:
|
||||
logger.info(f"Matched color from database: {color_name} (#{color_code})")
|
||||
else:
|
||||
color_name = mqtt_color
|
||||
color_name = color_hex or mqtt_color
|
||||
if self.verbose:
|
||||
logger.warning(
|
||||
f"No color match in database for {type_val} {sub_type} #{color_code}. "
|
||||
|
||||
418
bambu_run/management/commands/bambu_import_colors.py
Normal file
418
bambu_run/management/commands/bambu_import_colors.py
Normal file
@@ -0,0 +1,418 @@
|
||||
"""
|
||||
Management command to import Bambu Lab filament color catalogs into the FilamentColor database.
|
||||
|
||||
Parses .txt color catalog files (one file per filament sub-type) and creates or skips
|
||||
FilamentColor records. FilamentType records are auto-created as needed.
|
||||
|
||||
Usage:
|
||||
# Import a single file
|
||||
python manage.py bambu_import_colors docs/Bambu_Color_Catalog/PLA\ Basic.txt
|
||||
|
||||
# Import all .txt files in a directory
|
||||
python manage.py bambu_import_colors docs/Bambu_Color_Catalog/
|
||||
|
||||
# Dry-run (preview without writing)
|
||||
python manage.py bambu_import_colors docs/Bambu_Color_Catalog/ --dry-run
|
||||
|
||||
# Fail instead of auto-creating missing FilamentType entries
|
||||
python manage.py bambu_import_colors docs/Bambu_Color_Catalog/ --no-auto-create-filament-type
|
||||
|
||||
File naming convention:
|
||||
The stem determines filament type and sub-type:
|
||||
PLA Basic.txt → type=PLA, sub_type=PLA Basic
|
||||
PA6-GF.txt → type=PA6, sub_type=PA6-GF
|
||||
ABS.txt → type=ABS, sub_type=ABS
|
||||
|
||||
Supported file formats:
|
||||
Format 1 (multi-line): Format 2 (same-line / tab-separated):
|
||||
Jade White Black Walnut #4F3F24
|
||||
Hex:#FFFFFF Rosewood #4C241C
|
||||
|
||||
Hex values may appear as: Hex:#RRGGBB Hex: #RRGGBB #RRGGBB RRGGBB
|
||||
"""
|
||||
|
||||
import logging
|
||||
import re
|
||||
from pathlib import Path
|
||||
|
||||
from django.core.management.base import BaseCommand, CommandError
|
||||
from django.db import transaction
|
||||
|
||||
from bambu_run.models import FilamentColor, FilamentType
|
||||
|
||||
logger = logging.getLogger("bambu_run.import_colors")
|
||||
|
||||
BRAND = "Bambu Lab"
|
||||
|
||||
# ─── Parsing helpers ──────────────────────────────────────────────────────────
|
||||
|
||||
_SAME_LINE_RE = re.compile(
|
||||
r'^(.+?)\s+(?:Hex\s*:\s*)?#?([0-9A-Fa-f]{6})\s*$', re.IGNORECASE
|
||||
)
|
||||
_HEX_ONLY_RE = re.compile(
|
||||
r'^\s*(?:Hex\s*:\s*)?#?([0-9A-Fa-f]{6})\s*$', re.IGNORECASE
|
||||
)
|
||||
|
||||
|
||||
def _stem_to_type_and_subtype(stem):
|
||||
"""
|
||||
Derive (filament_type, filament_sub_type) from a file stem.
|
||||
|
||||
The sub-type is the full stem. The type is everything before the first
|
||||
space or hyphen.
|
||||
|
||||
"PLA Basic" → ("PLA", "PLA Basic")
|
||||
"PA6-GF" → ("PA6", "PA6-GF")
|
||||
"ABS" → ("ABS", "ABS")
|
||||
"PETG HF" → ("PETG", "PETG HF")
|
||||
"""
|
||||
sub_type = stem
|
||||
m = re.search(r'[ -]', stem)
|
||||
filament_type = stem[: m.start()] if m else stem
|
||||
return filament_type, sub_type
|
||||
|
||||
|
||||
def _parse_file(path):
|
||||
"""
|
||||
Parse a color catalog file and return a list of (color_name, hex_code) tuples.
|
||||
|
||||
hex_code is always 6-char uppercase without '#'.
|
||||
|
||||
Raises ValueError if the file cannot be read.
|
||||
"""
|
||||
try:
|
||||
text = path.read_text(encoding="utf-8", errors="replace")
|
||||
except OSError as exc:
|
||||
raise ValueError(f"Cannot read file: {exc}") from exc
|
||||
|
||||
lines = text.splitlines()
|
||||
colors = []
|
||||
i = 0
|
||||
|
||||
while i < len(lines):
|
||||
stripped = lines[i].strip()
|
||||
i += 1
|
||||
|
||||
if not stripped:
|
||||
continue
|
||||
|
||||
# ── Format 2: color name + hex on the same line ─────────────────────
|
||||
m = _SAME_LINE_RE.match(stripped)
|
||||
if m:
|
||||
colors.append((m.group(1).strip(), m.group(2).upper()))
|
||||
continue
|
||||
|
||||
# ── Orphaned hex line with no preceding name — skip ──────────────────
|
||||
if _HEX_ONLY_RE.match(stripped):
|
||||
logger.warning(" [parse] Orphaned hex line (no preceding name): '%s'", stripped)
|
||||
continue
|
||||
|
||||
# ── Format 1: color name on this line, hex on the next ──────────────
|
||||
color_name = stripped
|
||||
found_hex = False
|
||||
|
||||
while i < len(lines):
|
||||
next_stripped = lines[i].strip()
|
||||
i += 1 # tentatively consume
|
||||
|
||||
if not next_stripped:
|
||||
continue # skip blank lines between name and hex
|
||||
|
||||
m_hex = _HEX_ONLY_RE.match(next_stripped)
|
||||
if m_hex:
|
||||
colors.append((color_name, m_hex.group(1).upper()))
|
||||
found_hex = True
|
||||
else:
|
||||
# Not a hex line — put it back for the outer loop
|
||||
i -= 1
|
||||
logger.warning(
|
||||
" [parse] Expected hex after '%s', got '%s' — skipping name",
|
||||
color_name,
|
||||
next_stripped,
|
||||
)
|
||||
break # look-ahead done (one non-empty line checked)
|
||||
|
||||
if not found_hex:
|
||||
logger.warning(
|
||||
" [parse] Color '%s' has no hex line following it — skipping", color_name
|
||||
)
|
||||
|
||||
return colors
|
||||
|
||||
|
||||
# ─── Command ──────────────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
class Command(BaseCommand):
|
||||
help = (
|
||||
"Import Bambu Lab filament color catalog .txt files into the FilamentColor database. "
|
||||
"Accepts a single .txt file or a directory of .txt files."
|
||||
)
|
||||
|
||||
def add_arguments(self, parser):
|
||||
parser.add_argument(
|
||||
"path",
|
||||
help="Path to a single .txt catalog file or a directory containing .txt files.",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--auto-create-filament-type",
|
||||
default=True,
|
||||
action="store_true",
|
||||
dest="auto_create",
|
||||
help="Auto-create FilamentType entries when missing (default: enabled).",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--no-auto-create-filament-type",
|
||||
action="store_false",
|
||||
dest="auto_create",
|
||||
help="Skip colors whose FilamentType entry does not exist instead of creating it.",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--dry-run",
|
||||
action="store_true",
|
||||
help="Preview what would be imported without writing to the database.",
|
||||
)
|
||||
|
||||
def handle(self, *args, **options):
|
||||
input_path = Path(options["path"]).expanduser().resolve()
|
||||
auto_create = options["auto_create"]
|
||||
dry_run = options["dry_run"]
|
||||
|
||||
if dry_run:
|
||||
self.stdout.write(self.style.WARNING("DRY RUN — no changes will be written.\n"))
|
||||
|
||||
# ── Collect files to process ─────────────────────────────────────────
|
||||
if input_path.is_dir():
|
||||
files = sorted(input_path.glob("*.txt"))
|
||||
if not files:
|
||||
raise CommandError(f"No .txt files found in: {input_path}")
|
||||
self.stdout.write(f"Found {len(files)} .txt file(s) in {input_path}\n")
|
||||
elif input_path.is_file():
|
||||
if input_path.suffix.lower() != ".txt":
|
||||
raise CommandError(f"Expected a .txt file, got: {input_path.name}")
|
||||
files = [input_path]
|
||||
else:
|
||||
raise CommandError(f"Path does not exist: {input_path}")
|
||||
|
||||
# ── Counters ─────────────────────────────────────────────────────────
|
||||
total_created = 0
|
||||
total_skipped_dup = 0
|
||||
total_skipped_no_type = 0
|
||||
total_errors = 0
|
||||
|
||||
for file_path in files:
|
||||
created, skipped_dup, skipped_no_type, errors = self._process_file(
|
||||
file_path, auto_create=auto_create, dry_run=dry_run
|
||||
)
|
||||
total_created += created
|
||||
total_skipped_dup += skipped_dup
|
||||
total_skipped_no_type += skipped_no_type
|
||||
total_errors += errors
|
||||
|
||||
# ── Summary ──────────────────────────────────────────────────────────
|
||||
self.stdout.write("\n" + "─" * 50)
|
||||
self.stdout.write(
|
||||
self.style.SUCCESS(f" Created: {total_created}")
|
||||
)
|
||||
self.stdout.write(f" Skipped (duplicate): {total_skipped_dup}")
|
||||
if total_skipped_no_type:
|
||||
self.stdout.write(
|
||||
self.style.WARNING(f" Skipped (no type): {total_skipped_no_type}")
|
||||
)
|
||||
if total_errors:
|
||||
self.stdout.write(
|
||||
self.style.ERROR(f" Errors: {total_errors}")
|
||||
)
|
||||
if dry_run:
|
||||
self.stdout.write(self.style.WARNING("\nDRY RUN complete — nothing was written."))
|
||||
|
||||
# ── Per-file processing ───────────────────────────────────────────────────
|
||||
|
||||
def _process_file(self, file_path, *, auto_create, dry_run):
|
||||
"""Process one catalog file. Returns (created, skipped_dup, skipped_no_type, errors)."""
|
||||
stem = file_path.stem
|
||||
filament_type, filament_sub_type = _stem_to_type_and_subtype(stem)
|
||||
|
||||
self.stdout.write(
|
||||
f"\nProcessing: {file_path.name} "
|
||||
f"→ type={filament_type!r} sub_type={filament_sub_type!r}"
|
||||
)
|
||||
|
||||
# ── Parse file ───────────────────────────────────────────────────────
|
||||
try:
|
||||
colors = _parse_file(file_path)
|
||||
except ValueError as exc:
|
||||
self.stderr.write(self.style.ERROR(f" ERROR reading file: {exc}"))
|
||||
return 0, 0, 0, 1
|
||||
|
||||
if not colors:
|
||||
self.stdout.write(self.style.WARNING(" No colors parsed — skipping file."))
|
||||
return 0, 0, 0, 0
|
||||
|
||||
self.stdout.write(f" Parsed {len(colors)} color(s).")
|
||||
|
||||
# ── Resolve FilamentType ─────────────────────────────────────────────
|
||||
filament_type_obj = self._resolve_filament_type(
|
||||
filament_type, filament_sub_type, auto_create=auto_create, dry_run=dry_run
|
||||
)
|
||||
if filament_type_obj is None and not auto_create:
|
||||
self.stdout.write(
|
||||
self.style.WARNING(
|
||||
f" No FilamentType for type={filament_type!r} "
|
||||
f"sub_type={filament_sub_type!r} brand={BRAND!r} — "
|
||||
f"skipping all {len(colors)} color(s) in this file."
|
||||
)
|
||||
)
|
||||
return 0, 0, len(colors), 0
|
||||
|
||||
# ── Import colors ────────────────────────────────────────────────────
|
||||
created = skipped_dup = skipped_no_type = errors = 0
|
||||
|
||||
for color_name, hex_code in colors:
|
||||
result = self._import_color(
|
||||
color_name=color_name,
|
||||
hex_code=hex_code,
|
||||
filament_type=filament_type,
|
||||
filament_sub_type=filament_sub_type,
|
||||
filament_type_obj=filament_type_obj,
|
||||
dry_run=dry_run,
|
||||
)
|
||||
if result == "created":
|
||||
created += 1
|
||||
elif result == "duplicate":
|
||||
skipped_dup += 1
|
||||
elif result == "no_type":
|
||||
skipped_no_type += 1
|
||||
elif result == "error":
|
||||
errors += 1
|
||||
|
||||
self.stdout.write(
|
||||
f" → created={created} duplicate={skipped_dup} "
|
||||
f"no_type={skipped_no_type} errors={errors}"
|
||||
)
|
||||
return created, skipped_dup, skipped_no_type, errors
|
||||
|
||||
def _resolve_filament_type(self, filament_type, filament_sub_type, *, auto_create, dry_run):
|
||||
"""
|
||||
Return the matching FilamentType instance.
|
||||
|
||||
If none exists:
|
||||
- auto_create=True → create it (or simulate in dry-run) and return it
|
||||
- auto_create=False → return None
|
||||
"""
|
||||
try:
|
||||
obj = FilamentType.objects.get(
|
||||
type=filament_type,
|
||||
sub_type=filament_sub_type,
|
||||
brand=BRAND,
|
||||
)
|
||||
return obj
|
||||
except FilamentType.DoesNotExist:
|
||||
pass
|
||||
|
||||
if not auto_create:
|
||||
return None
|
||||
|
||||
if dry_run:
|
||||
self.stdout.write(
|
||||
self.style.NOTICE(
|
||||
f" [dry-run] Would create FilamentType: "
|
||||
f"type={filament_type!r} sub_type={filament_sub_type!r} brand={BRAND!r}"
|
||||
)
|
||||
)
|
||||
return None # can't return a real object in dry-run
|
||||
|
||||
try:
|
||||
with transaction.atomic():
|
||||
obj, created = FilamentType.objects.get_or_create(
|
||||
type=filament_type,
|
||||
sub_type=filament_sub_type,
|
||||
brand=BRAND,
|
||||
)
|
||||
if created:
|
||||
self.stdout.write(
|
||||
self.style.SUCCESS(
|
||||
f" Created FilamentType: "
|
||||
f"type={filament_type!r} sub_type={filament_sub_type!r} brand={BRAND!r}"
|
||||
)
|
||||
)
|
||||
return obj
|
||||
except Exception as exc:
|
||||
self.stderr.write(
|
||||
self.style.ERROR(
|
||||
f" ERROR creating FilamentType "
|
||||
f"(type={filament_type!r} sub_type={filament_sub_type!r}): {exc}"
|
||||
)
|
||||
)
|
||||
return None
|
||||
|
||||
def _import_color(
|
||||
self,
|
||||
*,
|
||||
color_name,
|
||||
hex_code,
|
||||
filament_type,
|
||||
filament_sub_type,
|
||||
filament_type_obj,
|
||||
dry_run,
|
||||
):
|
||||
"""
|
||||
Import a single (color_name, hex_code) entry.
|
||||
|
||||
Returns one of: "created", "duplicate", "no_type", "error"
|
||||
"""
|
||||
if filament_type_obj is None:
|
||||
# dry-run path: FilamentType would have been created but isn't real yet
|
||||
if dry_run:
|
||||
self.stdout.write(
|
||||
f" [dry-run] Would create: {color_name!r} #{hex_code} "
|
||||
f"({filament_type} / {filament_sub_type})"
|
||||
)
|
||||
return "created"
|
||||
return "no_type"
|
||||
|
||||
# ── Duplicate check ──────────────────────────────────────────────────
|
||||
# All five fields must match to be considered a duplicate:
|
||||
# color_code (exact), color_name (case-insensitive), brand,
|
||||
# denormalised filament_type + filament_sub_type
|
||||
duplicate = FilamentColor.objects.filter(
|
||||
color_code=hex_code,
|
||||
color_name__iexact=color_name,
|
||||
brand=BRAND,
|
||||
filament_type=filament_type,
|
||||
filament_sub_type=filament_sub_type,
|
||||
).exists()
|
||||
|
||||
if duplicate:
|
||||
logger.debug(" Duplicate — skipping: %s #%s", color_name, hex_code)
|
||||
return "duplicate"
|
||||
|
||||
if dry_run:
|
||||
self.stdout.write(
|
||||
f" [dry-run] Would create: {color_name!r} #{hex_code} "
|
||||
f"({filament_type} / {filament_sub_type})"
|
||||
)
|
||||
return "created"
|
||||
|
||||
# ── Write to database ────────────────────────────────────────────────
|
||||
try:
|
||||
with transaction.atomic():
|
||||
FilamentColor.objects.create(
|
||||
color_code=hex_code,
|
||||
color_name=color_name,
|
||||
filament_type_fk=filament_type_obj,
|
||||
filament_type=filament_type,
|
||||
filament_sub_type=filament_sub_type,
|
||||
brand=BRAND,
|
||||
)
|
||||
self.stdout.write(
|
||||
f" + {color_name!r} #{hex_code} ({filament_type} / {filament_sub_type})"
|
||||
)
|
||||
return "created"
|
||||
except Exception as exc:
|
||||
self.stderr.write(
|
||||
self.style.ERROR(
|
||||
f" ERROR saving {color_name!r} #{hex_code}: {exc}"
|
||||
)
|
||||
)
|
||||
return "error"
|
||||
302
bambu_run/static/bambu_run/js/filament_detail.js
Normal file
302
bambu_run/static/bambu_run/js/filament_detail.js
Normal file
@@ -0,0 +1,302 @@
|
||||
// Filament Detail Chart — Usage History
|
||||
// Depends on: chart.js, chartjs-plugin-annotation
|
||||
// Config injected by template: FILAMENT_USAGE_API_URL
|
||||
|
||||
let usageChart = null;
|
||||
|
||||
// Register annotation plugin once it's available
|
||||
if (typeof ChartAnnotation !== 'undefined') {
|
||||
Chart.register(ChartAnnotation);
|
||||
}
|
||||
|
||||
// ── Time-select population ──────────────────────────────────────────────────
|
||||
|
||||
const startTimeSelect = document.getElementById('filamentStartTime');
|
||||
const endTimeSelect = document.getElementById('filamentEndTime');
|
||||
if (startTimeSelect && endTimeSelect) {
|
||||
for (let h = 0; h < 24; h++) {
|
||||
for (let m = 0; m < 60; m += 30) {
|
||||
const t = `${String(h).padStart(2, '0')}:${String(m).padStart(2, '0')}`;
|
||||
startTimeSelect.add(new Option(t, t));
|
||||
endTimeSelect.add(new Option(t, t));
|
||||
}
|
||||
}
|
||||
// End-time gets one extra option so the last minute of the day is reachable
|
||||
endTimeSelect.add(new Option('23:59', '23:59'));
|
||||
startTimeSelect.value = '00:00';
|
||||
endTimeSelect.value = '23:59';
|
||||
}
|
||||
|
||||
// ── Default date inputs (last 24 h) ────────────────────────────────────────
|
||||
|
||||
(function setDefaultDates() {
|
||||
const now = new Date();
|
||||
const yesterday = new Date(now.getTime() - 24 * 60 * 60 * 1000);
|
||||
const sd = document.getElementById('filamentStartDate');
|
||||
const ed = document.getElementById('filamentEndDate');
|
||||
if (sd) sd.value = yesterday.toISOString().split('T')[0];
|
||||
if (ed) ed.value = now.toISOString().split('T')[0];
|
||||
}());
|
||||
|
||||
// ── Full-day checkbox ───────────────────────────────────────────────────────
|
||||
|
||||
const fullDayCheckbox = document.getElementById('filamentFullDayCheckbox');
|
||||
if (fullDayCheckbox) {
|
||||
fullDayCheckbox.addEventListener('change', function () {
|
||||
const isFullDay = this.checked;
|
||||
if (startTimeSelect) startTimeSelect.disabled = isFullDay;
|
||||
if (endTimeSelect) endTimeSelect.disabled = isFullDay;
|
||||
});
|
||||
}
|
||||
|
||||
// ── Helpers ─────────────────────────────────────────────────────────────────
|
||||
|
||||
/**
|
||||
* Build date-separator annotations from "YYYY-MM-DD HH:MM" timestamp strings.
|
||||
* Places a vertical dotted line at each day boundary, label at the bottom.
|
||||
*/
|
||||
function buildFilamentDateSeparators(timestamps) {
|
||||
const annotations = {};
|
||||
if (!timestamps || timestamps.length < 2) return annotations;
|
||||
let count = 0;
|
||||
for (let i = 1; i < timestamps.length; i++) {
|
||||
const prevDate = timestamps[i - 1].split(' ')[0];
|
||||
const currDate = timestamps[i].split(' ')[0];
|
||||
if (currDate !== prevDate) {
|
||||
const d = new Date(currDate + 'T00:00:00');
|
||||
const label = d.toLocaleDateString('en-US', { month: 'short', day: 'numeric' });
|
||||
annotations['dateSep_' + count] = {
|
||||
type: 'line',
|
||||
scaleID: 'x',
|
||||
value: i,
|
||||
borderColor: 'rgba(128, 128, 128, 0.45)',
|
||||
borderWidth: 1,
|
||||
borderDash: [4, 4],
|
||||
drawTime: 'beforeDatasetsDraw',
|
||||
label: {
|
||||
display: true,
|
||||
content: label,
|
||||
position: 'end',
|
||||
backgroundColor: 'rgba(100, 100, 100, 0.65)',
|
||||
color: '#fff',
|
||||
font: { size: 9 },
|
||||
padding: { x: 4, y: 2 }
|
||||
}
|
||||
};
|
||||
count++;
|
||||
}
|
||||
}
|
||||
return annotations;
|
||||
}
|
||||
|
||||
/**
|
||||
* Build x-axis tick options that adapt to the date span.
|
||||
*
|
||||
* autoSkip: true — Chart.js selects evenly-spaced tick positions.
|
||||
* maxTicksLimit — caps how many ticks are drawn.
|
||||
* callback — formats the label at each chosen tick position.
|
||||
*
|
||||
* ≤1 day : up to 12 ticks, show "HH:MM"
|
||||
* 2–7 days: up to dayCount×4 ticks (≤28), show "Feb 22 06:00"
|
||||
* >7 days : up to min(dayCount, 20) ticks, show "Feb 22"
|
||||
*/
|
||||
function filamentXAxisTicks(isDarkMode, timestamps) {
|
||||
const tickColor = isDarkMode ? 'rgba(255,255,255,0.8)' : 'rgba(0,0,0,0.8)';
|
||||
|
||||
const dayCount = (timestamps && timestamps.length > 0)
|
||||
? new Set(timestamps.map(t => t.split(' ')[0])).size
|
||||
: 1;
|
||||
|
||||
let maxTicksLimit, formatCb;
|
||||
|
||||
if (dayCount <= 1) {
|
||||
maxTicksLimit = 12;
|
||||
formatCb = function (val) {
|
||||
const label = this.getLabelForValue(val);
|
||||
return label ? label.slice(11, 16) : ''; // "HH:MM"
|
||||
};
|
||||
} else if (dayCount <= 7) {
|
||||
maxTicksLimit = Math.min(dayCount * 4, 28);
|
||||
formatCb = function (val) {
|
||||
const label = this.getLabelForValue(val);
|
||||
if (!label) return '';
|
||||
const datePart = label.split(' ')[0];
|
||||
const timePart = label.length >= 16 ? label.slice(11, 16) : '';
|
||||
const d = new Date(datePart + 'T00:00:00');
|
||||
return d.toLocaleDateString('en-US', { month: 'short', day: 'numeric' }) + ' ' + timePart;
|
||||
};
|
||||
} else {
|
||||
maxTicksLimit = Math.min(dayCount, 20);
|
||||
formatCb = function (val) {
|
||||
const label = this.getLabelForValue(val);
|
||||
if (!label) return '';
|
||||
const datePart = label.split(' ')[0];
|
||||
const d = new Date(datePart + 'T00:00:00');
|
||||
return d.toLocaleDateString('en-US', { month: 'short', day: 'numeric' });
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
color: tickColor,
|
||||
autoSkip: true,
|
||||
maxTicksLimit: maxTicksLimit,
|
||||
maxRotation: 45,
|
||||
minRotation: 0,
|
||||
callback: formatCb
|
||||
};
|
||||
}
|
||||
|
||||
// ── Chart fetch / render ────────────────────────────────────────────────────
|
||||
|
||||
/**
|
||||
* Fetch and render the usage chart.
|
||||
*
|
||||
* @param {boolean} sendDates When false (initial load / reset), no date params
|
||||
* are sent so the backend can apply its default
|
||||
* "last 24h or fallback to last available" logic.
|
||||
* When true (explicit Refresh), the current input
|
||||
* values are sent as-is.
|
||||
*/
|
||||
async function fetchFilamentUsageData(sendDates = true) {
|
||||
const startDate = document.getElementById('filamentStartDate').value;
|
||||
const endDate = document.getElementById('filamentEndDate').value;
|
||||
const isFullDay = fullDayCheckbox ? fullDayCheckbox.checked : true;
|
||||
const startTime = isFullDay ? '00:00' : (startTimeSelect ? startTimeSelect.value : '00:00');
|
||||
const endTime = isFullDay ? '23:59' : (endTimeSelect ? endTimeSelect.value : '23:59');
|
||||
|
||||
const params = new URLSearchParams();
|
||||
if (sendDates) {
|
||||
if (startDate) params.append('start_date', startDate);
|
||||
if (endDate) params.append('end_date', endDate);
|
||||
if (startTime) params.append('start_time', startTime);
|
||||
if (endTime) params.append('end_time', endTime);
|
||||
}
|
||||
|
||||
try {
|
||||
const response = await fetch(FILAMENT_USAGE_API_URL + '?' + params.toString());
|
||||
const data = await response.json();
|
||||
|
||||
// If the backend used the fallback window, sync the date inputs so the
|
||||
// user can see and extend the range from that starting point.
|
||||
if (data.fallback_used && data.timestamps && data.timestamps.length > 0) {
|
||||
const firstDate = data.timestamps[0].split(' ')[0];
|
||||
const lastDate = data.timestamps[data.timestamps.length - 1].split(' ')[0];
|
||||
const sd = document.getElementById('filamentStartDate');
|
||||
const ed = document.getElementById('filamentEndDate');
|
||||
if (sd) sd.value = firstDate;
|
||||
if (ed) ed.value = lastDate;
|
||||
}
|
||||
|
||||
// Update date-range label
|
||||
const dateRangeSpan = document.getElementById('filamentDateRange');
|
||||
if (dateRangeSpan) {
|
||||
if (data.fallback_used) {
|
||||
dateRangeSpan.textContent = '(Last available data — 24h window)';
|
||||
} else if (startDate && endDate && sendDates) {
|
||||
dateRangeSpan.textContent = `(${startDate} to ${endDate})`;
|
||||
} else {
|
||||
dateRangeSpan.textContent = '(Last 24 Hours)';
|
||||
}
|
||||
}
|
||||
|
||||
const isDarkMode = document.documentElement.getAttribute('data-coreui-theme') === 'dark';
|
||||
const tickColor = isDarkMode ? 'rgba(255,255,255,0.8)' : 'rgba(0,0,0,0.8)';
|
||||
const gridColor = isDarkMode ? 'rgba(255,255,255,0.1)' : 'rgba(0,0,0,0.1)';
|
||||
const sepAnnotations = buildFilamentDateSeparators(data.timestamps);
|
||||
const xTicks = filamentXAxisTicks(isDarkMode, data.timestamps);
|
||||
|
||||
if (usageChart) {
|
||||
usageChart.data.labels = data.timestamps;
|
||||
usageChart.data.datasets[0].data = data.remaining;
|
||||
usageChart.options.plugins.annotation.annotations = sepAnnotations;
|
||||
usageChart.options.scales.x.ticks = xTicks;
|
||||
usageChart.update();
|
||||
} else {
|
||||
const ctx = document.getElementById('usageChart').getContext('2d');
|
||||
usageChart = new Chart(ctx, {
|
||||
type: 'line',
|
||||
data: {
|
||||
labels: data.timestamps,
|
||||
datasets: [{
|
||||
label: 'Remaining %',
|
||||
data: data.remaining,
|
||||
borderColor: 'rgb(75, 192, 192)',
|
||||
backgroundColor: 'rgba(75, 192, 192, 0.1)',
|
||||
tension: 0.3,
|
||||
fill: true,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 3,
|
||||
borderWidth: 2
|
||||
}]
|
||||
},
|
||||
options: {
|
||||
responsive: true,
|
||||
maintainAspectRatio: false,
|
||||
interaction: { mode: 'index', intersect: false },
|
||||
plugins: {
|
||||
annotation: { annotations: sepAnnotations },
|
||||
legend: {
|
||||
position: 'top',
|
||||
labels: { color: tickColor }
|
||||
},
|
||||
tooltip: {
|
||||
callbacks: {
|
||||
label: function (ctx) {
|
||||
return 'Remaining: ' + ctx.parsed.y + '%';
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
scales: {
|
||||
x: {
|
||||
ticks: xTicks,
|
||||
grid: { color: gridColor }
|
||||
},
|
||||
y: {
|
||||
beginAtZero: true,
|
||||
max: 100,
|
||||
ticks: {
|
||||
color: tickColor,
|
||||
callback: function (v) { return v + '%'; }
|
||||
},
|
||||
grid: { color: gridColor }
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Error fetching filament usage data:', error);
|
||||
}
|
||||
}
|
||||
|
||||
// ── Event listeners ─────────────────────────────────────────────────────────
|
||||
|
||||
const refreshBtn = document.getElementById('refreshFilamentChart');
|
||||
const resetBtn = document.getElementById('resetFilamentChart');
|
||||
|
||||
if (refreshBtn) {
|
||||
// Refresh: honour whatever the user has typed in the date inputs
|
||||
refreshBtn.addEventListener('click', function () { fetchFilamentUsageData(true); });
|
||||
}
|
||||
|
||||
if (resetBtn) {
|
||||
resetBtn.addEventListener('click', function () {
|
||||
// Reset inputs to "last 24 hours" defaults, then let the backend
|
||||
// decide (fallback if no recent data).
|
||||
const now = new Date();
|
||||
const yesterday = new Date(now.getTime() - 24 * 60 * 60 * 1000);
|
||||
const sd = document.getElementById('filamentStartDate');
|
||||
const ed = document.getElementById('filamentEndDate');
|
||||
if (sd) sd.value = yesterday.toISOString().split('T')[0];
|
||||
if (ed) ed.value = now.toISOString().split('T')[0];
|
||||
if (fullDayCheckbox) fullDayCheckbox.checked = true;
|
||||
if (startTimeSelect) startTimeSelect.disabled = true;
|
||||
if (endTimeSelect) endTimeSelect.disabled = true;
|
||||
fetchFilamentUsageData(false);
|
||||
});
|
||||
}
|
||||
|
||||
// ── Initial load — no dates so backend fallback can fire ───────────────────
|
||||
|
||||
fetchFilamentUsageData(false);
|
||||
@@ -55,7 +55,7 @@ function initPrinterCharts(printerData, apiUrl) {
|
||||
tension: 0.3,
|
||||
borderWidth: 2,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 5,
|
||||
pointHoverRadius: 3,
|
||||
spanGaps: true
|
||||
},
|
||||
{
|
||||
@@ -67,7 +67,7 @@ function initPrinterCharts(printerData, apiUrl) {
|
||||
tension: 0.3,
|
||||
borderWidth: 2,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 5,
|
||||
pointHoverRadius: 3,
|
||||
spanGaps: true
|
||||
}
|
||||
]
|
||||
@@ -90,7 +90,7 @@ function initPrinterCharts(printerData, apiUrl) {
|
||||
tension: 0.3,
|
||||
borderWidth: 2,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 5,
|
||||
pointHoverRadius: 3,
|
||||
spanGaps: true
|
||||
},
|
||||
{
|
||||
@@ -102,7 +102,7 @@ function initPrinterCharts(printerData, apiUrl) {
|
||||
tension: 0.3,
|
||||
borderWidth: 2,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 5,
|
||||
pointHoverRadius: 3,
|
||||
spanGaps: true
|
||||
}
|
||||
]
|
||||
@@ -125,7 +125,7 @@ function initPrinterCharts(printerData, apiUrl) {
|
||||
tension: 0.3,
|
||||
borderWidth: 2,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 5,
|
||||
pointHoverRadius: 3,
|
||||
fill: true
|
||||
}
|
||||
]
|
||||
@@ -148,7 +148,7 @@ function initPrinterCharts(printerData, apiUrl) {
|
||||
tension: 0.3,
|
||||
borderWidth: 2,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 5,
|
||||
pointHoverRadius: 3,
|
||||
spanGaps: true
|
||||
},
|
||||
{
|
||||
@@ -159,7 +159,7 @@ function initPrinterCharts(printerData, apiUrl) {
|
||||
tension: 0.3,
|
||||
borderWidth: 2,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 5,
|
||||
pointHoverRadius: 3,
|
||||
spanGaps: true
|
||||
}
|
||||
]
|
||||
@@ -182,7 +182,7 @@ function initPrinterCharts(printerData, apiUrl) {
|
||||
tension: 0.3,
|
||||
borderWidth: 2,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 5,
|
||||
pointHoverRadius: 3,
|
||||
spanGaps: true
|
||||
}
|
||||
]
|
||||
@@ -246,7 +246,7 @@ function initPrinterCharts(printerData, apiUrl) {
|
||||
tension: 0.3,
|
||||
borderWidth: 2,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 5,
|
||||
pointHoverRadius: 3,
|
||||
yAxisID: 'y',
|
||||
spanGaps: true
|
||||
},
|
||||
@@ -258,7 +258,7 @@ function initPrinterCharts(printerData, apiUrl) {
|
||||
tension: 0.3,
|
||||
borderWidth: 2,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 5,
|
||||
pointHoverRadius: 3,
|
||||
yAxisID: 'y1',
|
||||
spanGaps: true
|
||||
}
|
||||
@@ -342,7 +342,7 @@ function initPrinterCharts(printerData, apiUrl) {
|
||||
tension: 0.3,
|
||||
borderWidth: 2,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 5,
|
||||
pointHoverRadius: 3,
|
||||
fill: true
|
||||
},
|
||||
{
|
||||
@@ -354,7 +354,7 @@ function initPrinterCharts(printerData, apiUrl) {
|
||||
tension: 0.3,
|
||||
borderWidth: 2,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 5,
|
||||
pointHoverRadius: 3,
|
||||
spanGaps: true
|
||||
}
|
||||
]
|
||||
@@ -452,6 +452,11 @@ function initPrinterCharts(printerData, apiUrl) {
|
||||
}
|
||||
});
|
||||
|
||||
// Add date separator markers when data spans multiple days
|
||||
if (printerData.dates && printerData.dates.length > 0) {
|
||||
applyDateSeparatorsToAllPrinterCharts(printerData.timestamps, printerData.dates);
|
||||
}
|
||||
|
||||
// Set up theme observer for dynamic theme switching
|
||||
setupThemeObserver();
|
||||
}
|
||||
@@ -623,7 +628,7 @@ function createFilamentDatasets(filamentTimeline, timestamps) {
|
||||
tension: 0.3,
|
||||
borderWidth: 2,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 5,
|
||||
pointHoverRadius: 3,
|
||||
spanGaps: false // Don't connect across null values (filament changes)
|
||||
});
|
||||
});
|
||||
@@ -731,3 +736,79 @@ function setupThemeObserver() {
|
||||
attributeFilter: ['data-coreui-theme']
|
||||
});
|
||||
}
|
||||
|
||||
/**
|
||||
* Build date-separator annotations for multi-day charts.
|
||||
* Detects where consecutive dates differ and returns a vertical dotted line
|
||||
* annotation at each boundary index, labelled with the new date.
|
||||
*
|
||||
* @param {string[]} timestamps - HH:MM display labels (one per data point)
|
||||
* @param {string[]} dates - YYYY-MM-DD dates (same length as timestamps)
|
||||
* @returns {Object} chartjs-plugin-annotation annotations keyed as "dateSep_N"
|
||||
*/
|
||||
function buildDateSeparatorAnnotations(timestamps, dates) {
|
||||
const annotations = {};
|
||||
if (!dates || dates.length < 2) return annotations;
|
||||
|
||||
let count = 0;
|
||||
for (let i = 1; i < dates.length; i++) {
|
||||
if (dates[i] !== dates[i - 1]) {
|
||||
// Format date as "Feb 25" for a compact label
|
||||
const d = new Date(dates[i] + 'T00:00:00');
|
||||
const label = d.toLocaleDateString('en-US', { month: 'short', day: 'numeric' });
|
||||
|
||||
annotations['dateSep_' + count] = {
|
||||
type: 'line',
|
||||
scaleID: 'x',
|
||||
value: i,
|
||||
borderColor: 'rgba(128, 128, 128, 0.45)',
|
||||
borderWidth: 1,
|
||||
borderDash: [4, 4],
|
||||
drawTime: 'beforeDatasetsDraw',
|
||||
label: {
|
||||
display: true,
|
||||
content: label,
|
||||
position: 'end',
|
||||
backgroundColor: 'rgba(100, 100, 100, 0.65)',
|
||||
color: '#fff',
|
||||
font: { size: 9 },
|
||||
padding: { x: 4, y: 2 }
|
||||
}
|
||||
};
|
||||
count++;
|
||||
}
|
||||
}
|
||||
return annotations;
|
||||
}
|
||||
|
||||
/**
|
||||
* Apply date-separator annotations to all printer charts.
|
||||
* Preserves any existing "marker_*" (project marker) annotations.
|
||||
*
|
||||
* @param {string[]} timestamps
|
||||
* @param {string[]} dates
|
||||
*/
|
||||
function applyDateSeparatorsToAllPrinterCharts(timestamps, dates) {
|
||||
const sepAnnotations = buildDateSeparatorAnnotations(timestamps, dates);
|
||||
|
||||
const charts = [
|
||||
nozzleTempChart, bedTempChart, printProgressChart, fanSpeedsChart,
|
||||
wifiSignalChart, amsConditionsChart, layerProgressChart, filamentTimelineChart
|
||||
];
|
||||
|
||||
charts.forEach(chart => {
|
||||
if (!chart) return;
|
||||
if (!chart.options.plugins.annotation) {
|
||||
chart.options.plugins.annotation = { annotations: {} };
|
||||
}
|
||||
const existing = chart.options.plugins.annotation.annotations;
|
||||
|
||||
// Remove any old dateSep_* entries then re-add updated ones
|
||||
Object.keys(existing).forEach(key => {
|
||||
if (key.startsWith('dateSep_')) delete existing[key];
|
||||
});
|
||||
Object.assign(existing, sepAnnotations);
|
||||
|
||||
chart.update('none');
|
||||
});
|
||||
}
|
||||
|
||||
@@ -77,11 +77,12 @@ function populateTimeDropdowns(startSelect, endSelect) {
|
||||
}
|
||||
|
||||
times.forEach(time => {
|
||||
const option1 = new Option(time, time);
|
||||
const option2 = new Option(time, time);
|
||||
startSelect.add(option1);
|
||||
endSelect.add(option2);
|
||||
startSelect.add(new Option(time, time));
|
||||
endSelect.add(new Option(time, time));
|
||||
});
|
||||
|
||||
// End-time gets one extra option so the last minute of the day is reachable
|
||||
endSelect.add(new Option('23:59', '23:59'));
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -235,6 +236,11 @@ function updateAllPrinterCharts(data) {
|
||||
filamentTimelineChart.update();
|
||||
}
|
||||
|
||||
// Apply date separator markers (multi-day views)
|
||||
if (data.dates && data.dates.length > 0) {
|
||||
applyDateSeparatorsToAllPrinterCharts(data.timestamps, data.dates);
|
||||
}
|
||||
|
||||
// Add project markers to all charts
|
||||
if (data.project_markers) {
|
||||
addProjectMarkersToCharts(data.project_markers, data.timestamps);
|
||||
@@ -275,8 +281,11 @@ function addProjectMarkersToCharts(markers, timestamps) {
|
||||
chart.options.plugins.annotation = { annotations: {} };
|
||||
}
|
||||
|
||||
// Clear existing project markers
|
||||
chart.options.plugins.annotation.annotations = {};
|
||||
// Clear existing project markers but preserve date-separator annotations
|
||||
const allAnnotations = chart.options.plugins.annotation.annotations;
|
||||
Object.keys(allAnnotations).forEach(key => {
|
||||
if (!key.startsWith('dateSep_')) delete allAnnotations[key];
|
||||
});
|
||||
|
||||
// Track active tooltip
|
||||
let activeMarkerTooltip = null;
|
||||
|
||||
@@ -84,7 +84,7 @@
|
||||
<div class="card-header">
|
||||
<div class="d-flex justify-content-between align-items-center flex-wrap gap-2">
|
||||
<div>
|
||||
<strong>Chart Filters</strong>
|
||||
<strong>Filament Usage History</strong>
|
||||
<span class="text-muted" id="filamentDateRange">(Last 24 Hours)</span>
|
||||
</div>
|
||||
<div class="d-flex align-items-center gap-2 flex-wrap">
|
||||
@@ -111,11 +111,11 @@
|
||||
</div>
|
||||
<!-- Buttons -->
|
||||
<button type="button" class="btn btn-primary btn-sm" id="refreshFilamentChart">
|
||||
<svg class="icon"><use xlink:href="https://cdn.jsdelivr.net/npm/@coreui/icons@3.0.1/sprites/free.svg#cil-reload"></use></svg>
|
||||
<svg class="icon"><use href="{% static 'bambu_run/vendors/coreui-icons-free.svg' %}#cil-reload"></use></svg>
|
||||
Refresh
|
||||
</button>
|
||||
<button type="button" class="btn btn-secondary btn-sm" id="resetFilamentChart">
|
||||
<svg class="icon"><use xlink:href="https://cdn.jsdelivr.net/npm/@coreui/icons@3.0.1/sprites/free.svg#cil-action-undo"></use></svg>
|
||||
<svg class="icon"><use href="{% static 'bambu_run/vendors/coreui-icons-free.svg' %}#cil-action-undo"></use></svg>
|
||||
Reset
|
||||
</button>
|
||||
</div>
|
||||
@@ -203,126 +203,39 @@
|
||||
|
||||
{% block extra_js %}
|
||||
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.0"></script>
|
||||
<script src="https://cdn.jsdelivr.net/npm/chartjs-plugin-annotation@3.0.1"></script>
|
||||
{% if not is_basic_user %}
|
||||
{# Inject Django-specific values that the static JS file cannot know #}
|
||||
<script>
|
||||
const filamentId = {{ filament.pk }};
|
||||
let usageChart = null;
|
||||
|
||||
// Populate time selects
|
||||
const startTimeSelect = document.getElementById('filamentStartTime');
|
||||
const endTimeSelect = document.getElementById('filamentEndTime');
|
||||
for (let h = 0; h < 24; h++) {
|
||||
for (let m = 0; m < 60; m += 30) {
|
||||
const timeStr = `${h.toString().padStart(2, '0')}:${m.toString().padStart(2, '0')}`;
|
||||
startTimeSelect.add(new Option(timeStr, timeStr));
|
||||
endTimeSelect.add(new Option(timeStr, timeStr));
|
||||
}
|
||||
}
|
||||
startTimeSelect.value = '00:00';
|
||||
endTimeSelect.value = '23:30';
|
||||
|
||||
// Initialize date inputs to last 24 hours
|
||||
const now = new Date();
|
||||
const yesterday = new Date(now.getTime() - 24 * 60 * 60 * 1000);
|
||||
document.getElementById('filamentStartDate').value = yesterday.toISOString().split('T')[0];
|
||||
document.getElementById('filamentEndDate').value = now.toISOString().split('T')[0];
|
||||
|
||||
// Full day checkbox handler
|
||||
document.getElementById('filamentFullDayCheckbox').addEventListener('change', function() {
|
||||
const isFullDay = this.checked;
|
||||
startTimeSelect.disabled = isFullDay;
|
||||
endTimeSelect.disabled = isFullDay;
|
||||
});
|
||||
|
||||
// Fetch and render chart
|
||||
async function fetchFilamentUsageData() {
|
||||
const startDate = document.getElementById('filamentStartDate').value;
|
||||
const endDate = document.getElementById('filamentEndDate').value;
|
||||
const isFullDay = document.getElementById('filamentFullDayCheckbox').checked;
|
||||
const startTime = isFullDay ? '00:00' : startTimeSelect.value;
|
||||
const endTime = isFullDay ? '23:59' : endTimeSelect.value;
|
||||
|
||||
const params = new URLSearchParams();
|
||||
if (startDate) params.append('start_date', startDate);
|
||||
if (endDate) params.append('end_date', endDate);
|
||||
if (startTime) params.append('start_time', startTime);
|
||||
if (endTime) params.append('end_time', endTime);
|
||||
|
||||
try {
|
||||
const response = await fetch(`{% url 'bambu_run:filament_usage_api' filament.pk %}?${params.toString()}`);
|
||||
const data = await response.json();
|
||||
|
||||
// Update date range display
|
||||
const dateRangeSpan = document.getElementById('filamentDateRange');
|
||||
if (startDate && endDate) {
|
||||
dateRangeSpan.textContent = `(${startDate} to ${endDate})`;
|
||||
} else {
|
||||
dateRangeSpan.textContent = '(Last 24 Hours)';
|
||||
}
|
||||
|
||||
// Update chart
|
||||
if (usageChart) {
|
||||
usageChart.data.labels = data.timestamps;
|
||||
usageChart.data.datasets[0].data = data.remaining;
|
||||
usageChart.update();
|
||||
} else {
|
||||
const ctx = document.getElementById('usageChart').getContext('2d');
|
||||
usageChart = new Chart(ctx, {
|
||||
type: 'line',
|
||||
data: {
|
||||
labels: data.timestamps,
|
||||
datasets: [{
|
||||
label: 'Remaining %',
|
||||
data: data.remaining,
|
||||
borderColor: 'rgb(75, 192, 192)',
|
||||
backgroundColor: 'rgba(75, 192, 192, 0.1)',
|
||||
tension: 0.3,
|
||||
fill: true
|
||||
}]
|
||||
},
|
||||
options: {
|
||||
responsive: true,
|
||||
maintainAspectRatio: false,
|
||||
scales: {
|
||||
y: {
|
||||
beginAtZero: true,
|
||||
max: 100
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Error fetching filament usage data:', error);
|
||||
}
|
||||
}
|
||||
|
||||
// Event listeners
|
||||
document.getElementById('refreshFilamentChart').addEventListener('click', fetchFilamentUsageData);
|
||||
document.getElementById('resetFilamentChart').addEventListener('click', function() {
|
||||
const now = new Date();
|
||||
const yesterday = new Date(now.getTime() - 24 * 60 * 60 * 1000);
|
||||
document.getElementById('filamentStartDate').value = yesterday.toISOString().split('T')[0];
|
||||
document.getElementById('filamentEndDate').value = now.toISOString().split('T')[0];
|
||||
document.getElementById('filamentFullDayCheckbox').checked = true;
|
||||
startTimeSelect.disabled = true;
|
||||
endTimeSelect.disabled = true;
|
||||
fetchFilamentUsageData();
|
||||
});
|
||||
|
||||
// Initial load
|
||||
fetchFilamentUsageData();
|
||||
const FILAMENT_USAGE_API_URL = "{% url 'bambu_run:filament_usage_api' filament.pk %}";
|
||||
</script>
|
||||
<script src="{% static 'bambu_run/js/filament_detail.js' %}"></script>
|
||||
{% else %}
|
||||
<script>
|
||||
// Basic user: render static chart from server-provided data if available
|
||||
document.addEventListener('DOMContentLoaded', function() {
|
||||
document.addEventListener('DOMContentLoaded', function () {
|
||||
const ctx = document.getElementById('usageChart');
|
||||
if (ctx) {
|
||||
new Chart(ctx.getContext('2d'), {
|
||||
type: 'line',
|
||||
data: { labels: [], datasets: [{ label: 'Remaining %', data: [], borderColor: 'rgb(75, 192, 192)', backgroundColor: 'rgba(75, 192, 192, 0.1)', tension: 0.3, fill: true }] },
|
||||
options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, max: 100 } } }
|
||||
data: {
|
||||
labels: [],
|
||||
datasets: [{
|
||||
label: 'Remaining %',
|
||||
data: [],
|
||||
borderColor: 'rgb(75, 192, 192)',
|
||||
backgroundColor: 'rgba(75, 192, 192, 0.1)',
|
||||
tension: 0.3,
|
||||
fill: true,
|
||||
pointRadius: 0,
|
||||
pointHoverRadius: 3,
|
||||
borderWidth: 2
|
||||
}]
|
||||
},
|
||||
options: {
|
||||
responsive: true,
|
||||
maintainAspectRatio: false,
|
||||
scales: { y: { beginAtZero: true, max: 100 } }
|
||||
}
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
@@ -2,6 +2,10 @@
|
||||
Utility functions for filament color matching
|
||||
"""
|
||||
|
||||
# BambuLab AMS reports colors as 8-char hex with an alpha channel suffix (e.g. '489FDFFF').
|
||||
# The last two chars are always 'FF' (fully opaque). Only the first 6 chars are the RGB value.
|
||||
MQTT_COLOR_HEX_LENGTH = 6
|
||||
|
||||
|
||||
def strip_color_padding(mqtt_color):
|
||||
"""
|
||||
@@ -12,8 +16,8 @@ def strip_color_padding(mqtt_color):
|
||||
if not mqtt_color:
|
||||
return None
|
||||
if len(mqtt_color) == 8:
|
||||
return mqtt_color[:6].upper()
|
||||
return mqtt_color[:6].upper() if len(mqtt_color) >= 6 else mqtt_color.upper()
|
||||
return mqtt_color[:MQTT_COLOR_HEX_LENGTH].upper()
|
||||
return mqtt_color[:MQTT_COLOR_HEX_LENGTH].upper() if len(mqtt_color) >= MQTT_COLOR_HEX_LENGTH else mqtt_color.upper()
|
||||
|
||||
|
||||
def match_filament_color(filament_type, filament_sub_type, color_code, brand='Bambu Lab'):
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from datetime import timedelta
|
||||
from datetime import timedelta, datetime
|
||||
from django.views.generic import TemplateView, View, ListView, CreateView, UpdateView, DetailView, DeleteView
|
||||
from django.contrib.auth.mixins import LoginRequiredMixin
|
||||
from django.utils import timezone
|
||||
@@ -13,6 +13,18 @@ from .conf import app_settings
|
||||
from .models import Printer, PrinterMetrics, Filament, FilamentColor, FilamentType, FilamentSnapshot, PrintJob, FilamentUsage
|
||||
from .forms import FilamentForm, FilamentColorForm, FilamentTypeForm
|
||||
|
||||
_METRICS_API_FIELDS = [
|
||||
'id', 'device_id', 'timestamp',
|
||||
'nozzle_temp', 'nozzle_target_temp',
|
||||
'bed_temp', 'bed_target_temp',
|
||||
'print_percent', 'cooling_fan_speed', 'heatbreak_fan_speed',
|
||||
'wifi_signal_dbm', 'ams_humidity_raw', 'ams_temp',
|
||||
'layer_num', 'total_layer_num',
|
||||
'gcode_state', 'print_type', 'subtask_name',
|
||||
'external_spool',
|
||||
]
|
||||
_MAX_CHART_POINTS = 3000
|
||||
|
||||
|
||||
class PrinterDashboardView(LoginRequiredMixin, TemplateView):
|
||||
template_name = "bambu_run/printer_dashboard.html"
|
||||
@@ -54,6 +66,9 @@ class PrinterDashboardView(LoginRequiredMixin, TemplateView):
|
||||
"timestamps": [
|
||||
m.timestamp.astimezone(tz).strftime("%H:%M") for m in metrics
|
||||
],
|
||||
"dates": [
|
||||
m.timestamp.astimezone(tz).strftime("%Y-%m-%d") for m in metrics
|
||||
],
|
||||
"nozzle_temp": [
|
||||
float(m.nozzle_temp) if m.nozzle_temp else None for m in metrics
|
||||
],
|
||||
@@ -245,50 +260,175 @@ class PrinterDataAPIView(LoginRequiredMixin, View):
|
||||
if not printer_device:
|
||||
return JsonResponse({"error": "No printer device found"}, status=404)
|
||||
|
||||
query = PrinterMetrics.objects.filter(device=printer_device).prefetch_related('filament_snapshots')
|
||||
|
||||
tz = zoneinfo.ZoneInfo(app_settings.TIMEZONE)
|
||||
|
||||
if start_date and start_time:
|
||||
from datetime import datetime
|
||||
start_dt_naive = datetime.strptime(f"{start_date} {start_time}", "%Y-%m-%d %H:%M")
|
||||
start_dt = start_dt_naive.replace(tzinfo=tz)
|
||||
# Stage A: only() + step calculation
|
||||
query = (
|
||||
PrinterMetrics.objects
|
||||
.filter(device=printer_device)
|
||||
.only(*_METRICS_API_FIELDS)
|
||||
)
|
||||
|
||||
if start_date and start_time and end_date and end_time:
|
||||
start_dt = datetime.strptime(f"{start_date} {start_time}", "%Y-%m-%d %H:%M").replace(tzinfo=tz)
|
||||
end_dt = datetime.strptime(f"{end_date} {end_time}", "%Y-%m-%d %H:%M").replace(tzinfo=tz)
|
||||
query = query.filter(timestamp__gte=start_dt, timestamp__lte=end_dt)
|
||||
range_seconds = (end_dt - start_dt).total_seconds()
|
||||
expected_count = max(1, int(range_seconds / 30))
|
||||
elif start_date and start_time:
|
||||
start_dt = datetime.strptime(f"{start_date} {start_time}", "%Y-%m-%d %H:%M").replace(tzinfo=tz)
|
||||
query = query.filter(timestamp__gte=start_dt)
|
||||
|
||||
if end_date and end_time:
|
||||
from datetime import datetime
|
||||
end_dt_naive = datetime.strptime(f"{end_date} {end_time}", "%Y-%m-%d %H:%M")
|
||||
end_dt = end_dt_naive.replace(tzinfo=tz)
|
||||
expected_count = _MAX_CHART_POINTS
|
||||
elif end_date and end_time:
|
||||
end_dt = datetime.strptime(f"{end_date} {end_time}", "%Y-%m-%d %H:%M").replace(tzinfo=tz)
|
||||
query = query.filter(timestamp__lte=end_dt)
|
||||
expected_count = _MAX_CHART_POINTS
|
||||
else:
|
||||
expected_count = _MAX_CHART_POINTS
|
||||
|
||||
metrics = query.order_by("timestamp")
|
||||
step = max(1, expected_count // _MAX_CHART_POINTS)
|
||||
|
||||
# Stage B: single DB round-trip, downsample in Python
|
||||
metrics_list = list(query.order_by("timestamp"))
|
||||
if step > 1:
|
||||
metrics_list = metrics_list[::step]
|
||||
|
||||
total_points = len(metrics_list)
|
||||
|
||||
# Stage C: targeted snapshot fetch (only sampled IDs)
|
||||
snapshots_by_metric: dict = {}
|
||||
if metrics_list:
|
||||
sampled_ids = [m.id for m in metrics_list]
|
||||
for snap in FilamentSnapshot.objects.filter(printer_metric_id__in=sampled_ids):
|
||||
snapshots_by_metric.setdefault(snap.printer_metric_id, []).append(snap)
|
||||
|
||||
# Stage D: single-pass serialization
|
||||
timestamps = []
|
||||
timestamps_iso = []
|
||||
dates = []
|
||||
nozzle_temp = []
|
||||
nozzle_target_temp = []
|
||||
bed_temp = []
|
||||
bed_target_temp = []
|
||||
print_percent = []
|
||||
cooling_fan_speed = []
|
||||
heatbreak_fan_speed = []
|
||||
wifi_signal_dbm = []
|
||||
ams_humidity_raw = []
|
||||
ams_temp = []
|
||||
layer_num = []
|
||||
total_layer_num = []
|
||||
gcode_state = []
|
||||
print_type = []
|
||||
subtask_name = []
|
||||
|
||||
project_markers = []
|
||||
current_job = None
|
||||
last_state = None
|
||||
|
||||
filament_data = {}
|
||||
|
||||
for idx, m in enumerate(metrics_list):
|
||||
ts = m.timestamp.astimezone(tz)
|
||||
timestamps.append(ts.strftime('%H:%M'))
|
||||
timestamps_iso.append(ts.isoformat())
|
||||
dates.append(ts.strftime('%Y-%m-%d'))
|
||||
nozzle_temp.append(float(m.nozzle_temp) if m.nozzle_temp else None)
|
||||
nozzle_target_temp.append(float(m.nozzle_target_temp) if m.nozzle_target_temp else None)
|
||||
bed_temp.append(float(m.bed_temp) if m.bed_temp else None)
|
||||
bed_target_temp.append(float(m.bed_target_temp) if m.bed_target_temp else None)
|
||||
print_percent.append(m.print_percent if m.print_percent else 0)
|
||||
cooling_fan_speed.append(m.cooling_fan_speed if m.cooling_fan_speed else 0)
|
||||
heatbreak_fan_speed.append(m.heatbreak_fan_speed if m.heatbreak_fan_speed else 0)
|
||||
wifi_signal_dbm.append(m.wifi_signal_dbm if m.wifi_signal_dbm else None)
|
||||
ams_humidity_raw.append(m.ams_humidity_raw if m.ams_humidity_raw else None)
|
||||
ams_temp.append(float(m.ams_temp) if m.ams_temp else None)
|
||||
layer_num.append(m.layer_num if m.layer_num else 0)
|
||||
total_layer_num.append(m.total_layer_num if m.total_layer_num else 0)
|
||||
gcode_state.append(m.gcode_state)
|
||||
print_type.append(m.print_type)
|
||||
subtask_name.append(m.subtask_name)
|
||||
|
||||
# Project marker detection (inline)
|
||||
subtask = m.subtask_name
|
||||
gs = m.gcode_state
|
||||
is_printing = gs not in ['FINISH', 'IDLE', None, '']
|
||||
if subtask and subtask != current_job and is_printing:
|
||||
project_markers.append({
|
||||
'type': 'start',
|
||||
'index': idx,
|
||||
'timestamp': ts.isoformat(),
|
||||
'project_name': subtask,
|
||||
})
|
||||
current_job = subtask
|
||||
last_state = gs
|
||||
elif current_job and last_state and last_state not in ['FINISH', 'IDLE'] and gs in ['FINISH', 'IDLE']:
|
||||
project_markers.append({
|
||||
'type': 'end',
|
||||
'index': idx,
|
||||
'timestamp': ts.isoformat(),
|
||||
'project_name': current_job,
|
||||
})
|
||||
current_job = None
|
||||
last_state = gs
|
||||
|
||||
# Filament timeline (inline)
|
||||
for snap in snapshots_by_metric.get(m.id, []):
|
||||
tray_id = snap.tray_id
|
||||
fil_type = snap.type or 'Unknown'
|
||||
fil_sub_type = snap.sub_type or 'Unknown'
|
||||
fil_color = snap.color or 'FFFFFFFF'
|
||||
unique_key = f"{tray_id}_{fil_type}_{fil_sub_type}_{fil_color}"
|
||||
if unique_key not in filament_data:
|
||||
filament_data[unique_key] = {
|
||||
'tray_id': tray_id,
|
||||
'type': fil_type,
|
||||
'brand': fil_sub_type,
|
||||
'color': fil_color,
|
||||
'remain_data': [None] * total_points,
|
||||
'start_idx': idx,
|
||||
}
|
||||
filament_data[unique_key]['remain_data'][idx] = snap.remain_percent or 0
|
||||
|
||||
external = m.external_spool or {}
|
||||
if external.get('type'):
|
||||
fil_type = external.get('type', 'Unknown')
|
||||
fil_color = external.get('color', '161616FF')
|
||||
unique_key = f"External_{fil_type}_{fil_color}"
|
||||
if unique_key not in filament_data:
|
||||
filament_data[unique_key] = {
|
||||
'tray_id': 'External',
|
||||
'type': fil_type,
|
||||
'brand': 'External',
|
||||
'color': fil_color,
|
||||
'remain_data': [None] * total_points,
|
||||
'start_idx': idx,
|
||||
}
|
||||
filament_data[unique_key]['remain_data'][idx] = external.get('remain', 0)
|
||||
|
||||
data = {
|
||||
"timestamps": [m.timestamp.astimezone(tz).strftime('%H:%M') for m in metrics],
|
||||
"timestamps_iso": [m.timestamp.astimezone(tz).isoformat() for m in metrics],
|
||||
"nozzle_temp": [float(m.nozzle_temp) if m.nozzle_temp else None for m in metrics],
|
||||
"nozzle_target_temp": [float(m.nozzle_target_temp) if m.nozzle_target_temp else None for m in metrics],
|
||||
"bed_temp": [float(m.bed_temp) if m.bed_temp else None for m in metrics],
|
||||
"bed_target_temp": [float(m.bed_target_temp) if m.bed_target_temp else None for m in metrics],
|
||||
"print_percent": [m.print_percent if m.print_percent else 0 for m in metrics],
|
||||
"cooling_fan_speed": [m.cooling_fan_speed if m.cooling_fan_speed else 0 for m in metrics],
|
||||
"heatbreak_fan_speed": [m.heatbreak_fan_speed if m.heatbreak_fan_speed else 0 for m in metrics],
|
||||
"wifi_signal_dbm": [m.wifi_signal_dbm if m.wifi_signal_dbm else None for m in metrics],
|
||||
"ams_humidity_raw": [m.ams_humidity_raw if m.ams_humidity_raw else None for m in metrics],
|
||||
"ams_temp": [float(m.ams_temp) if m.ams_temp else None for m in metrics],
|
||||
"layer_num": [m.layer_num if m.layer_num else 0 for m in metrics],
|
||||
"total_layer_num": [m.total_layer_num if m.total_layer_num else 0 for m in metrics],
|
||||
"gcode_state": [m.gcode_state for m in metrics],
|
||||
"print_type": [m.print_type for m in metrics],
|
||||
"subtask_name": [m.subtask_name for m in metrics],
|
||||
"timestamps": timestamps,
|
||||
"timestamps_iso": timestamps_iso,
|
||||
"dates": dates,
|
||||
"nozzle_temp": nozzle_temp,
|
||||
"nozzle_target_temp": nozzle_target_temp,
|
||||
"bed_temp": bed_temp,
|
||||
"bed_target_temp": bed_target_temp,
|
||||
"print_percent": print_percent,
|
||||
"cooling_fan_speed": cooling_fan_speed,
|
||||
"heatbreak_fan_speed": heatbreak_fan_speed,
|
||||
"wifi_signal_dbm": wifi_signal_dbm,
|
||||
"ams_humidity_raw": ams_humidity_raw,
|
||||
"ams_temp": ams_temp,
|
||||
"layer_num": layer_num,
|
||||
"total_layer_num": total_layer_num,
|
||||
"gcode_state": gcode_state,
|
||||
"print_type": print_type,
|
||||
"subtask_name": subtask_name,
|
||||
"project_markers": project_markers,
|
||||
"filament_timeline": filament_data,
|
||||
}
|
||||
|
||||
project_markers = self._calculate_project_markers(metrics, tz)
|
||||
data["project_markers"] = project_markers
|
||||
|
||||
filament_timeline = self._prepare_filament_timeline_for_api(metrics)
|
||||
data["filament_timeline"] = filament_timeline
|
||||
|
||||
return JsonResponse(data)
|
||||
|
||||
except Exception as e:
|
||||
@@ -296,93 +436,6 @@ class PrinterDataAPIView(LoginRequiredMixin, View):
|
||||
traceback.print_exc()
|
||||
return JsonResponse({"error": str(e)}, status=500)
|
||||
|
||||
def _calculate_project_markers(self, metrics, timezone_info):
|
||||
markers = []
|
||||
current_job = None
|
||||
last_state = None
|
||||
|
||||
for idx, metric in enumerate(metrics):
|
||||
subtask = metric.subtask_name
|
||||
gcode_state = metric.gcode_state
|
||||
|
||||
is_printing = gcode_state not in ['FINISH', 'IDLE', None, '']
|
||||
|
||||
if subtask and subtask != current_job and is_printing:
|
||||
markers.append({
|
||||
'type': 'start',
|
||||
'index': idx,
|
||||
'timestamp': metric.timestamp.astimezone(timezone_info).isoformat(),
|
||||
'project_name': subtask,
|
||||
})
|
||||
current_job = subtask
|
||||
last_state = gcode_state
|
||||
|
||||
elif current_job and last_state and last_state not in ['FINISH', 'IDLE'] and gcode_state in ['FINISH', 'IDLE']:
|
||||
markers.append({
|
||||
'type': 'end',
|
||||
'index': idx,
|
||||
'timestamp': metric.timestamp.astimezone(timezone_info).isoformat(),
|
||||
'project_name': current_job,
|
||||
})
|
||||
current_job = None
|
||||
|
||||
last_state = gcode_state
|
||||
|
||||
return markers
|
||||
|
||||
def _prepare_filament_timeline_for_api(self, metrics):
|
||||
filament_data = {}
|
||||
total_points = len(metrics)
|
||||
|
||||
for idx, metric in enumerate(metrics):
|
||||
try:
|
||||
snapshots = metric.filament_snapshots.all()
|
||||
except Exception:
|
||||
snapshots = []
|
||||
|
||||
for snapshot in snapshots:
|
||||
tray_id = snapshot.tray_id
|
||||
fil_type = snapshot.type or 'Unknown'
|
||||
fil_sub_type = snapshot.sub_type or 'Unknown'
|
||||
fil_color = snapshot.color or 'FFFFFFFF'
|
||||
|
||||
unique_key = f"{tray_id}_{fil_type}_{fil_sub_type}_{fil_color}"
|
||||
|
||||
if unique_key not in filament_data:
|
||||
filament_data[unique_key] = {
|
||||
'tray_id': tray_id,
|
||||
'type': fil_type,
|
||||
'brand': fil_sub_type,
|
||||
'color': fil_color,
|
||||
'remain_data': [None] * total_points,
|
||||
'start_idx': idx,
|
||||
}
|
||||
|
||||
remain_percent = snapshot.remain_percent or 0
|
||||
filament_data[unique_key]['remain_data'][idx] = remain_percent
|
||||
|
||||
for idx, metric in enumerate(metrics):
|
||||
external = metric.external_spool or {}
|
||||
if external.get('type'):
|
||||
fil_type = external.get('type', 'Unknown')
|
||||
fil_color = external.get('color', '161616FF')
|
||||
unique_key = f"External_{fil_type}_{fil_color}"
|
||||
|
||||
if unique_key not in filament_data:
|
||||
filament_data[unique_key] = {
|
||||
'tray_id': 'External',
|
||||
'type': fil_type,
|
||||
'brand': 'External',
|
||||
'color': fil_color,
|
||||
'remain_data': [None] * total_points,
|
||||
'start_idx': idx,
|
||||
}
|
||||
|
||||
remain_percent = external.get('remain', 0)
|
||||
filament_data[unique_key]['remain_data'][idx] = remain_percent
|
||||
|
||||
return filament_data
|
||||
|
||||
|
||||
class FilamentUsageDataAPIView(LoginRequiredMixin, View):
|
||||
"""API endpoint for filament usage history with date/time filtering"""
|
||||
@@ -410,15 +463,32 @@ class FilamentUsageDataAPIView(LoginRequiredMixin, View):
|
||||
end_dt = end_dt_naive.replace(tzinfo=tz)
|
||||
query = query.filter(printer_metric__timestamp__lte=end_dt)
|
||||
|
||||
fallback_used = False
|
||||
if not start_date and not end_date:
|
||||
time_24h_ago = timezone.now() - timedelta(hours=24)
|
||||
query = query.filter(printer_metric__timestamp__gte=time_24h_ago)
|
||||
|
||||
snapshots = query.order_by('printer_metric__timestamp')
|
||||
default_query = query.filter(printer_metric__timestamp__gte=time_24h_ago)
|
||||
if default_query.exists():
|
||||
snapshots = default_query.order_by('printer_metric__timestamp')
|
||||
else:
|
||||
# Fallback: show 24h window ending at the most recent available snapshot
|
||||
last_snapshot = query.order_by('-printer_metric__timestamp').first()
|
||||
if last_snapshot:
|
||||
last_ts = last_snapshot.printer_metric.timestamp
|
||||
fallback_start = last_ts - timedelta(hours=24)
|
||||
snapshots = query.filter(
|
||||
printer_metric__timestamp__gte=fallback_start,
|
||||
printer_metric__timestamp__lte=last_ts
|
||||
).order_by('printer_metric__timestamp')
|
||||
fallback_used = True
|
||||
else:
|
||||
snapshots = query.none()
|
||||
else:
|
||||
snapshots = query.order_by('printer_metric__timestamp')
|
||||
|
||||
data = {
|
||||
"timestamps": [s.printer_metric.timestamp.astimezone(tz).strftime('%Y-%m-%d %H:%M') for s in snapshots],
|
||||
"remaining": [s.remain_percent for s in snapshots]
|
||||
"remaining": [s.remain_percent for s in snapshots],
|
||||
"fallback_used": fallback_used,
|
||||
}
|
||||
|
||||
return JsonResponse(data)
|
||||
|
||||
28
docs/Bambu_Color_Catalog/ABS.txt
Normal file
28
docs/Bambu_Color_Catalog/ABS.txt
Normal file
@@ -0,0 +1,28 @@
|
||||
White
|
||||
Hex:#FFFFFF
|
||||
Bambu Green
|
||||
Hex:#00AE42
|
||||
Olive
|
||||
Hex:#789D4A
|
||||
Azure
|
||||
Hex:#489FDF
|
||||
Navy Blue
|
||||
Hex:#0C2340
|
||||
Blue
|
||||
Hex:#0A2CA5
|
||||
Tangerine Yellow
|
||||
Hex:#FFC72C
|
||||
Orange
|
||||
Hex:#FF6A13
|
||||
Red
|
||||
Hex:#D32941
|
||||
Purple
|
||||
Hex:#AF1685
|
||||
Silver
|
||||
Hex:#87909A
|
||||
Black
|
||||
Hex:#000000
|
||||
Mint
|
||||
Hex:#7AE1BF
|
||||
Lavender
|
||||
Hex:#7248BD
|
||||
6
docs/Bambu_Color_Catalog/ASA.txt
Normal file
6
docs/Bambu_Color_Catalog/ASA.txt
Normal file
@@ -0,0 +1,6 @@
|
||||
White #FFFAF2
|
||||
Gray #8A949E
|
||||
Red #E02928
|
||||
Green #00A6A0
|
||||
Blue #2140B4
|
||||
Black #000000
|
||||
8
docs/Bambu_Color_Catalog/PA6-GF.txt
Normal file
8
docs/Bambu_Color_Catalog/PA6-GF.txt
Normal file
@@ -0,0 +1,8 @@
|
||||
White #EAEAE4
|
||||
Yellow #FFCE00
|
||||
Lime #C5ED48
|
||||
Blue #75AED8
|
||||
Orange #FF4800
|
||||
Brown #5B492F
|
||||
Gray #353533
|
||||
Black #000000
|
||||
3
docs/Bambu_Color_Catalog/PC FR.txt
Normal file
3
docs/Bambu_Color_Catalog/PC FR.txt
Normal file
@@ -0,0 +1,3 @@
|
||||
White #FFFFFF
|
||||
Gray #A8A8AA
|
||||
Black #000000
|
||||
14
docs/Bambu_Color_Catalog/PETG HF.txt
Normal file
14
docs/Bambu_Color_Catalog/PETG HF.txt
Normal file
@@ -0,0 +1,14 @@
|
||||
Yellow #FFD00B
|
||||
Orange #F75403
|
||||
Green #00AE42
|
||||
Red #EB3A3A
|
||||
Blue #002E96
|
||||
Black #000000
|
||||
White #FFFFFF
|
||||
Cream #F9DFB9
|
||||
Lime Green #6EE53C
|
||||
Forest Green #39541A
|
||||
Lake Blue #1F79E5
|
||||
Peanut Brown #875718
|
||||
Gray #ADB1B2
|
||||
Dark Gray #515151
|
||||
8
docs/Bambu_Color_Catalog/PETG Translucent.txt
Normal file
8
docs/Bambu_Color_Catalog/PETG Translucent.txt
Normal file
@@ -0,0 +1,8 @@
|
||||
Translucent Gray #8E8E8E
|
||||
Translucent Light Blue #61B0FF
|
||||
Translucent Olive #748C45
|
||||
Translucent Brown #C9A381
|
||||
Translucent Teal #77EDD7
|
||||
Translucent Orange #FF911A
|
||||
Translucent Purple #D6ABFF
|
||||
Translucent Pink #F9C1BD
|
||||
60
docs/Bambu_Color_Catalog/PLA Basic.txt
Normal file
60
docs/Bambu_Color_Catalog/PLA Basic.txt
Normal file
@@ -0,0 +1,60 @@
|
||||
Jade White
|
||||
Hex:#FFFFFF
|
||||
Magenta
|
||||
Hex:#EC008C
|
||||
Gold
|
||||
Hex:#E4BD68
|
||||
Mistletoe Green
|
||||
Hex:#3F8E43
|
||||
Red
|
||||
Hex:#C12E1F
|
||||
Purple
|
||||
Hex:#5E43B7
|
||||
Beige
|
||||
Hex:#F7E6DE
|
||||
Pink
|
||||
Hex:#F55A74
|
||||
Sunflower Yellow
|
||||
Hex:#FEC600
|
||||
Bronze
|
||||
Hex:#847D48
|
||||
Turquoise
|
||||
Hex:#00B1B7
|
||||
Indigo Purple
|
||||
Hex:#482960
|
||||
Light Gray
|
||||
Hex:#D1D3D5
|
||||
Hot Pink
|
||||
Hex:#F5547C
|
||||
Yellow
|
||||
Hex:#F4EE2A
|
||||
Cocoa Brown
|
||||
Hex:#6F5034
|
||||
Cyan
|
||||
Hex:#0086D6
|
||||
Blue Grey
|
||||
Hex:#5B6579
|
||||
Silver
|
||||
Hex:#A6A9AA
|
||||
Orange
|
||||
Hex:#FF6A13
|
||||
Bright Green
|
||||
Hex:#BECF00
|
||||
Brown
|
||||
Hex:#9D432C
|
||||
Blue
|
||||
Hex:#0A2989
|
||||
Dark Gray
|
||||
Hex:#545454
|
||||
Gray
|
||||
Hex:#8E9089
|
||||
Pumpkin Orange
|
||||
Hex:#FF9016
|
||||
Bambu Green
|
||||
Hex:#00AE42
|
||||
Maroon Red
|
||||
Hex:#9D2235
|
||||
Cobalt Blue
|
||||
Hex:#0056B8
|
||||
Black
|
||||
Hex:#000000
|
||||
50
docs/Bambu_Color_Catalog/PLA Matte.txt
Normal file
50
docs/Bambu_Color_Catalog/PLA Matte.txt
Normal file
@@ -0,0 +1,50 @@
|
||||
Ivory White
|
||||
Hex:#FFFFFF
|
||||
Bone White
|
||||
Hex:#CBC6B8
|
||||
Desert Tan
|
||||
Hex:#E8DBB7
|
||||
Latte Brown
|
||||
Hex:#D3B7A7
|
||||
Caramel
|
||||
Hex:#AE835B
|
||||
Terracotta
|
||||
Hex:#B15533
|
||||
Dark Brown
|
||||
Hex:#7D6556
|
||||
Dark Chocolate
|
||||
Hex:#4D3324
|
||||
Lilac Purple
|
||||
Hex:#AE96D4
|
||||
Sakura Pink
|
||||
Hex:#E8AFCF
|
||||
Mandarin Orange
|
||||
Hex:#F99963
|
||||
Lemon Yellow
|
||||
Hex:#F7D959
|
||||
Plum
|
||||
Hex:#950051
|
||||
Scarlet Red
|
||||
Hex:#DE4343
|
||||
Dark Red
|
||||
Hex:#BB3D43
|
||||
Dark Green
|
||||
Hex:#68724D
|
||||
Grass Green
|
||||
Hex:#61C680
|
||||
Apple Green
|
||||
Hex:#C2E189
|
||||
Ice Blue
|
||||
Hex:#A3D8E1
|
||||
Sky Blue
|
||||
Hex:#56B7E6
|
||||
Marine Blue
|
||||
Hex:#0078BF
|
||||
Dark Blue
|
||||
Hex:#042F56
|
||||
Ash Gray
|
||||
Hex:#9B9EA0
|
||||
Nardo Gray
|
||||
Hex:#757575
|
||||
Charcoal
|
||||
Hex:#000000
|
||||
6
docs/Bambu_Color_Catalog/PLA Wood.txt
Normal file
6
docs/Bambu_Color_Catalog/PLA Wood.txt
Normal file
@@ -0,0 +1,6 @@
|
||||
Black Walnut #4F3F24
|
||||
Rosewood #4C241C
|
||||
Clay Brown #995F11
|
||||
Classic Birch #918669
|
||||
White Oak #D6CCA3
|
||||
Ochre Yellow #C98935
|
||||
15
native/bambu-run-collector.service
Normal file
15
native/bambu-run-collector.service
Normal file
@@ -0,0 +1,15 @@
|
||||
[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
|
||||
15
native/bambu-run-web.service
Normal file
15
native/bambu-run-web.service
Normal file
@@ -0,0 +1,15 @@
|
||||
[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
|
||||
58
native/bambu-run.sh
Executable file
58
native/bambu-run.sh
Executable file
@@ -0,0 +1,58 @@
|
||||
#!/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: $0 {start|stop|restart|status|logs|update}"
|
||||
echo
|
||||
echo " start Start web + collector services"
|
||||
echo " stop Stop web + collector services"
|
||||
echo " restart Restart web + collector services"
|
||||
echo " status Show service status"
|
||||
echo " logs Tail live logs (Ctrl+C to stop)"
|
||||
echo " update Pull latest code, install deps, migrate, restart"
|
||||
;;
|
||||
esac
|
||||
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
|
||||
|
||||
[project]
|
||||
name = "bambu-run"
|
||||
version = "0.1.0"
|
||||
version = "0.1.1"
|
||||
description = "Django reusable app for Bambu Lab 3D printer monitoring and filament inventory management"
|
||||
readme = "README.md"
|
||||
license = {text = "MIT"}
|
||||
|
||||
263
setup.sh
Executable file
263
setup.sh
Executable file
@@ -0,0 +1,263 @@
|
||||
#!/usr/bin/env bash
|
||||
# Bambu-Run Native Setup — single entry point for Raspberry Pi (or any Linux)
|
||||
# Usage: git clone ... && cd Bambu-Run && bash setup.sh
|
||||
set -euo pipefail
|
||||
|
||||
REPO_DIR="$(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
|
||||
|
||||
# Acquire sudo upfront and keep it alive for the duration of the script
|
||||
echo "This script needs sudo for iptables (port redirect) and apt (dependencies)."
|
||||
sudo -v
|
||||
while true; do sudo -n true; sleep 50; kill -0 "$$" || exit; done 2>/dev/null &
|
||||
SUDO_KEEPALIVE_PID=$!
|
||||
trap 'kill "$SUDO_KEEPALIVE_PID" 2>/dev/null' EXIT
|
||||
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
|
||||
|
||||
# Prompt for access port
|
||||
while true; do
|
||||
read -rp "Choose Bambu-Run Dashboard access port (Default: 80): " ACCESS_PORT
|
||||
ACCESS_PORT="${ACCESS_PORT:-80}"
|
||||
if [[ "$ACCESS_PORT" =~ ^[0-9]+$ ]] && [ "$ACCESS_PORT" -ge 1 ] && [ "$ACCESS_PORT" -le 65535 ]; then
|
||||
break
|
||||
else
|
||||
red "Invalid port '$ACCESS_PORT'. Please enter a number between 1 and 65535."
|
||||
fi
|
||||
done
|
||||
green "Dashboard will be accessible on port $ACCESS_PORT."
|
||||
|
||||
# ── 2. Venv + install ────────────────────────────────────────────────────────
|
||||
|
||||
if [ ! -d "$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
|
||||
while true; do
|
||||
read -rp "Timezone [UTC] (e.g. America/Sydney): " TIMEZONE
|
||||
TIMEZONE="${TIMEZONE:-UTC}"
|
||||
if "$VENV_DIR/bin/python" -c "import zoneinfo; zoneinfo.ZoneInfo('$TIMEZONE')" 2>/dev/null; then
|
||||
break
|
||||
else
|
||||
red "Unknown timezone '$TIMEZONE'. Find yours at: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones"
|
||||
fi
|
||||
done
|
||||
|
||||
# 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
|
||||
if $MANAGE shell -c "from django.contrib.auth import get_user_model; exit(0 if get_user_model().objects.filter(is_superuser=True).exists() else 1)" 2>/dev/null; then
|
||||
yellow "Superuser already exists, skipping. (To add another, run: python standalone/manage.py createsuperuser)"
|
||||
else
|
||||
green "Create your dashboard login (Django superuser):"
|
||||
$MANAGE createsuperuser || yellow "Superuser creation skipped."
|
||||
fi
|
||||
|
||||
# ── 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. Port redirect (ACCESS_PORT → 8000 via iptables if needed) ────────────
|
||||
|
||||
PORT_OK=false
|
||||
if [ "$ACCESS_PORT" -eq 8000 ]; then
|
||||
# Gunicorn already on 8000 — no redirect needed
|
||||
green "Using port 8000 directly (no redirect needed)."
|
||||
PORT_OK=true
|
||||
else
|
||||
if sudo iptables -t nat -C PREROUTING -p tcp --dport "$ACCESS_PORT" -j REDIRECT --to-port 8000 2>/dev/null; then
|
||||
yellow "Port $ACCESS_PORT → 8000 redirect already set."
|
||||
PORT_OK=true
|
||||
else
|
||||
# Ensure iptables is available
|
||||
if ! command -v iptables &>/dev/null; then
|
||||
yellow "Installing iptables..."
|
||||
DEBIAN_FRONTEND=noninteractive sudo apt-get install -y -qq iptables
|
||||
fi
|
||||
if sudo iptables -t nat -A PREROUTING -p tcp --dport "$ACCESS_PORT" -j REDIRECT --to-port 8000 && \
|
||||
sudo iptables -t nat -A OUTPUT -o lo -p tcp --dport "$ACCESS_PORT" -j REDIRECT --to-port 8000; then
|
||||
green "Port $ACCESS_PORT → 8000 redirect configured."
|
||||
PORT_OK=true
|
||||
# Persist so it survives reboot
|
||||
if ! command -v netfilter-persistent &>/dev/null; then
|
||||
yellow "Installing iptables-persistent to survive reboots..."
|
||||
DEBIAN_FRONTEND=noninteractive sudo apt-get install -y -qq iptables-persistent
|
||||
fi
|
||||
sudo netfilter-persistent save 2>/dev/null || sudo sh -c 'iptables-save > /etc/iptables/rules.v4'
|
||||
else
|
||||
yellow "Warning: Could not set port $ACCESS_PORT redirect (sudo required). Access via http://<ip>:8000"
|
||||
fi
|
||||
fi
|
||||
fi
|
||||
|
||||
# ── 11. Summary ───────────────────────────────────────────────────────────────
|
||||
|
||||
PI_IP=$(hostname -I 2>/dev/null | awk '{print $1}')
|
||||
if [ "$PORT_OK" = true ] && [ "$ACCESS_PORT" -ne 8000 ]; then
|
||||
DASHBOARD_URL="http://${PI_IP:-localhost}$([ "$ACCESS_PORT" -eq 80 ] && echo '' || echo ":$ACCESS_PORT")"
|
||||
else
|
||||
DASHBOARD_URL="http://${PI_IP:-localhost}:8000"
|
||||
fi
|
||||
echo
|
||||
green "============================================"
|
||||
green " Bambu-Run is running!"
|
||||
green "============================================"
|
||||
echo
|
||||
echo " Dashboard: $DASHBOARD_URL"
|
||||
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
|
||||
@@ -5,7 +5,15 @@ import sys
|
||||
|
||||
# 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.
|
||||
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():
|
||||
|
||||
Reference in New Issue
Block a user