Suppress wget output

Bump actions/checkout from 6 to 7

.gitea/workflows/docker.yaml

@@ -0,0 +1,51 @@
+name: Build and push ha-elegoo-spaghetti-detection image
+
+on:
+  workflow_dispatch:
+    inputs:
+      tag:
+        description: 'Release tag'
+        required: true
+        type: string
+        default: 'v1.0.0'
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Docker login
+        run: |
+          echo "${{ secrets.ACCESS_TOKEN }}" | docker login gitea.furb.it \
+            -u "${{ secrets.USERNAME }}" \
+            --password-stdin
+
+      # Build image with tag
+      - name: Build Docker image
+        working-directory: ./addon
+        run: |
+          docker build \
+            -f Dockerfile.standalone.base \
+            --label ha-elegoo-spaghetti-detection.tag=${{ inputs.tag }} \
+            -t gitea.furb.it/docker/ha-elegoo-spaghetti-detection:latest \
+            -t gitea.furb.it/docker/ha-elegoo-spaghetti-detection:${{ inputs.tag }} \
+            .
+
+      # Push images
+      - name: Push Docker images
+        run: |
+          docker push gitea.furb.it/docker/ha-elegoo-spaghetti-detection:latest
+          docker push gitea.furb.it/docker/ha-elegoo-spaghetti-detection:${{ inputs.tag }}
+
+      # Create release using gitea-release-action
+      - name: Create release
+        uses: akkuman/gitea-release-action@v1
+        with:
+          server: "https://gitea.furb.it"
+          token: ${{ secrets.ACCESS_TOKEN }}
+          repository: Docker/ha-elegoo-spaghetti-detection
+          tag_name: ${{ inputs.tag }}
+          name: ${{ inputs.tag }}
+          body: "Docker image: `gitea.furb.it/docker/ha-elegoo-spaghetti-detection:${{ inputs.tag }}`"

.github/dependabot.yml

@@ -1,6 +0,0 @@
-version: 2
-updates:
-  - package-ecosystem: github-actions
-    directory: /
-    schedule:
-      interval: weekly

.github/workflows/ci.yaml

@@ -1,66 +0,0 @@
-name: CI
-
-on:
-  push:
-    tags-ignore:
-      - "v*"
-  pull_request:
-  workflow_dispatch:
-
-permissions:
-  contents: read
-
-jobs:
-  validate:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v6
-
-      - uses: actions/setup-python@v6
-        with:
-          python-version: "3.12"
-
-      - name: Validate JSON
-        run: |
-          python -m json.tool hacs.json > /dev/null
-          python -m json.tool repository.json > /dev/null
-          python -m json.tool custom_components/elegoo_spaghetti_detection/manifest.json > /dev/null
-          python -m json.tool custom_components/elegoo_spaghetti_detection/translations/en.json > /dev/null
-
-      - name: Validate Python syntax
-        run: python -m compileall custom_components/elegoo_spaghetti_detection addon/rootfs/app
-
-      - name: Validate YAML
-        run: |
-          python -m pip install pyyaml
-          python - <<'PY'
-          from pathlib import Path
-          import yaml
-
-          class Loader(yaml.SafeLoader):
-              pass
-
-          def unknown_constructor(loader, tag_suffix, node):
-              if isinstance(node, yaml.MappingNode):
-                  return loader.construct_mapping(node)
-              if isinstance(node, yaml.SequenceNode):
-                  return loader.construct_sequence(node)
-              return loader.construct_scalar(node)
-
-          Loader.add_multi_constructor("!", unknown_constructor)
-
-          paths = [
-              Path("docker-compose.yaml"),
-              Path("addon/config.yaml"),
-              Path("custom_components/elegoo_spaghetti_detection/services.yaml"),
-              Path(".github/workflows/ci.yaml"),
-              Path(".github/workflows/hassfest.yaml"),
-              Path(".github/workflows/validate.yaml"),
-              Path(".github/dependabot.yml"),
-              *Path("examples").glob("*.yaml"),
-          ]
-
-          for path in sorted(paths):
-              with path.open("r", encoding="utf-8") as handle:
-                  yaml.load(handle, Loader=Loader)
-          PY

.github/workflows/hassfest.yaml

@@ -1,20 +0,0 @@
-name: Validate with hassfest
-
-on:
-  push:
-    tags-ignore:
-      - "v*"
-  pull_request:
-  schedule:
-    - cron: "0 0 * * *"
-  workflow_dispatch:
-
-permissions:
-  contents: read
-
-jobs:
-  validate:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v6
-      - uses: home-assistant/actions/hassfest@master

.github/workflows/validate.yaml

@@ -1,23 +0,0 @@
-name: Validate
-
-on:
-  push:
-    tags-ignore:
-      - "v*"
-  pull_request:
-  schedule:
-    - cron: "0 0 * * *"
-  workflow_dispatch:
-
-permissions:
-  contents: read
-
-jobs:
-  validate-hacs:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v6
-      - name: HACS validation
-        uses: hacs/action@main
-        with:
-          category: integration

README.md

@@ -1,33 +1,54 @@
 # Elegoo Spaghetti Detection
 
-Home Assistant spaghetti/failure detection for Elegoo FDM printers. It is
+Home Assistant spaghetti/failure detection with an Elegoo Centauri Carbon-first setup, designed around [`danielcherubini/elegoo-homeassistant`](https://github.com/danielcherubini/elegoo-homeassistant).
-tested with Elegoo Centauri Carbon 2 through
+Other printers or workflows can also be used when they expose a Home Assistant camera entity, optional light entity, and user-defined automations, but they are not the primary target.
-[`danielcherubini/elegoo-homeassistant`](https://github.com/danielcherubini/elegoo-homeassistant),
-but the detector can use any Home Assistant camera entity.
 
 [![Open your Home Assistant instance and open a repository inside the Home Assistant Community Store.](https://my.home-assistant.io/badges/hacs_repository.svg)](https://my.home-assistant.io/redirect/hacs_repository/?owner=hepter&repository=ha-elegoo-spaghetti-detection&category=integration)
 
-This project started as an Elegoo-focused adaptation of
+<p>
-[`nberktumer/ha-bambu-lab-p1-spaghetti-detection`](https://github.com/nberktumer/ha-bambu-lab-p1-spaghetti-detection).
+  <img src="docs/images/camera-spaghetti-failure.png" alt="Camera frame with spaghetti failure" width="720">
-The original project provided the Obico ML workflow and Home Assistant
+</p>
-integration foundation.
 
-This repository is not affiliated with Elegoo, Home Assistant, HACS, Obico, or
+The integration turns camera snapshots into Home Assistant entities and events.
-the original upstream author.
+Printer actions such as pause, stop, resume, and notifications stay in your own
+automations, so the same detector can be used with different printer setups.
 
-## Scope
+## Quick Start
 
-The integration detects possible print failures and exposes Home Assistant
+1. Run the ML server. See [ML server and logs](docs/ml-server.md).
-entities/events. It does not directly control the printer.
+2. Install the custom integration through HACS or manually. See
+   [Installation](docs/installation.md).
+3. Add `Elegoo Spaghetti Detection` from Home Assistant integrations.
+4. Select the camera and optional print status sensor. See
+   [Configuration](docs/configuration.md).
+5. Press `Test Spaghetti Detection`.
+6. Add one of the [automation examples](docs/automations.md).
+7. Add one of the [dashboard examples](docs/dashboard.md).
 
-Detection flow:
+## Documentation
+
+- [Installation](docs/installation.md)
+- [Configuration](docs/configuration.md)
+- [Automation examples](docs/automations.md)
+- [Dashboard examples](docs/dashboard.md)
+- [ML server and logs](docs/ml-server.md)
+- [Troubleshooting](docs/troubleshooting.md)
+- [HACS publishing notes](docs/HACS_PUBLISHING.md)
+
+## How It Works
 
 ```text
 camera snapshot -> ML server -> confidence/result sensors -> Home Assistant events
 ```
 
-Printer-specific actions such as pause, resume, stop, and notifications belong
+The integration detects possible print failures and exposes Home Assistant
-in user automations. Ready-to-edit examples are included.
+entities/events. It does not directly control the printer.
+
+When a print status sensor is configured, scheduled detection only runs during
+the configured active print states. Elegoo `print_status` sensors are also
+guarded by the companion `current_status` sensor when it exists, which avoids
+scheduled checks during homing or idle states where `print_status` can remain
+`printing`.
 
 ## Features
 
@@ -35,9 +56,6 @@ in user automations. Ready-to-edit examples are included.
 - Uses an Obico/TSD FDM failure model running in a local Docker/HA add-on server.
 - Validates ML server health and camera image reachability during setup.
 - Optional print status sensor gates scheduled detection to active print states.
-- Elegoo `print_status` sensors are guarded by the companion `current_status`
-  sensor when it exists, avoiding scheduled checks during homing/idle states
-  where `print_status` can remain `printing`.
 - Optional chamber light control can leave the light alone, turn it on and keep
   it on, or temporarily turn it on and restore the previous state after each
   snapshot.
@@ -51,45 +69,25 @@ in user automations. Ready-to-edit examples are included.
 - CPU-first ML startup by default to avoid CUDA timeout failures on systems
   without a working GPU runtime.
 
-## Documentation
-
-- [Installation](docs/installation.md)
-- [Configuration](docs/configuration.md)
-- [Automation examples](docs/automations.md)
-- [Dashboard examples](docs/dashboard.md)
-- [ML server and logs](docs/ml-server.md)
-- [Troubleshooting](docs/troubleshooting.md)
-- [HACS publishing notes](docs/HACS_PUBLISHING.md)
-
 ## Screenshots
 
 Integration setup:
 
-![Elegoo Spaghetti Detection setup form](docs/images/config-flow-add-hub.png)
+<p>
+  <img src="docs/images/config-flow-add-hub.png" alt="Elegoo Spaghetti Detection setup form" width="720">
+</p>
 
 Enhanced dashboard in idle state:
 
-![Enhanced dashboard idle state](docs/images/dashboard-hacs-waiting-for-print.png)
+<p>
+  <img src="docs/images/dashboard-hacs-waiting-for-print.png" alt="Enhanced dashboard idle state" width="720">
+</p>
 
 Enhanced dashboard after a detected failure:
 
-![Enhanced dashboard detected failure](docs/images/dashboard-hacs-detected.png)
+<p>
-
+  <img src="docs/images/dashboard-hacs-detected.png" alt="Enhanced dashboard detected failure" width="720">
-Camera frame with an obvious spaghetti failure:
+</p>
-
-![Camera frame with spaghetti failure](docs/images/camera-spaghetti-failure.png)
-
-## Quick Start
-
-1. Run the ML server. See [ML server and logs](docs/ml-server.md).
-2. Install the custom integration through HACS or manually. See
-   [Installation](docs/installation.md).
-3. Add `Elegoo Spaghetti Detection` from Home Assistant integrations.
-4. Select the camera and optional print status sensor. See
-   [Configuration](docs/configuration.md).
-5. Press `Test Spaghetti Detection`.
-6. Add one of the [automation examples](docs/automations.md).
-7. Add one of the [dashboard examples](docs/dashboard.md).
 
 ## Typical Elegoo CC2 Entities
 
@@ -154,3 +152,10 @@ status
 ```
 
 Use these fields in notifications and advanced automations.
+
+## Credits
+
+This project started as an Elegoo-focused adaptation of
+[`nberktumer/ha-bambu-lab-p1-spaghetti-detection`](https://github.com/nberktumer/ha-bambu-lab-p1-spaghetti-detection).
+The original project provided the Obico ML workflow and Home Assistant
+integration foundation.

addon/Dockerfile.standalone.base

@@ -10,9 +10,9 @@ RUN pip install --upgrade pip
 RUN pip install -r requirements.txt
 
 RUN echo 'Downloading the latest failure detection AI model in Darknet format...'
-RUN wget -O model/model-weights.darknet $(cat model/model-weights.darknet.url | tr -d '\r')
+RUN wget --no-verbose -O model/model-weights.darknet $(cat model/model-weights.darknet.url | tr -d '\r')
 RUN echo 'Downloading the latest failure detection AI model in ONNX format...'
-RUN wget -O model/model-weights.onnx $(cat model/model-weights.onnx.url | tr -d '\r')
+RUN wget --no-verbose -O model/model-weights.onnx $(cat model/model-weights.onnx.url | tr -d '\r')
 
 ADD rootfs/app /app
 ENV FLASK_APP server.py