Add slicervolbrain v2

.github/workflows/extension-ai-analysis.yml

@@ -17,7 +17,7 @@ jobs:
     timeout-minutes: 30
     steps:
       - name: Checkout the fork PR code
-        uses: actions/checkout@1af3b93b6815bc44a9784bd300feb67ff0d1eeb3 # v6.0.0
+        uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1
         with:
           repository: ${{ github.event.pull_request.head.repo.full_name }}
           ref: ${{ github.event.pull_request.head.ref }}
@@ -70,7 +70,7 @@ jobs:
 
       - name: Run AI analysis
         env:
-          NEBULA_API_KEY: ${{ secrets.NEBULA_API_KEY }}
+          MEGANOVA_API_KEY: ${{ secrets.MEGANOVA_API_KEY }}
         id: ai-analysis
         run: |
           RESULT=$(python scripts/extension_ai_analysis.py \

.github/workflows/extension-validation.yml

@@ -19,7 +19,7 @@ jobs:
       pull-requests: write
     timeout-minutes: 30
     steps:
-      - uses: actions/checkout@1af3b93b6815bc44a9784bd300feb67ff0d1eeb3 # v6.0.0
+      - uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1
         with:
           fetch-depth: 0 # Fetch full history for git diff
 

.github/workflows/lint.yml

@@ -16,7 +16,7 @@ jobs:
     runs-on: ubuntu-latest
     timeout-minutes: 5
     steps:
-      - uses: actions/checkout@1af3b93b6815bc44a9784bd300feb67ff0d1eeb3 # v6.0.0
+      - uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1
       - uses: actions/setup-python@83679a892e2d95755f2dac6acb0bfd1e9ac5d548 # v6.1.0
         with:
           python-version: "3.12"

SlicerOpenLIFU.json → OpenLIFU.json

@@ -3,7 +3,7 @@
   "build_dependencies": [],
   "build_subdirectory": ".",
   "category": "Utilities",
-  "scm_revision": "v1.5.0",
+  "scm_revision": "main",
   "scm_url": "https://github.com/OpenwaterHealth/SlicerOpenLIFU.git",
   "tier": 1
 }

SlicerVolBrain.json

@@ -0,0 +1,19 @@
+{
+  "scm": "git",
+  "scmurl": "https://github.com/niyaziacer/SlicerVolBrain.git",
+  "scmrevision": "main",
+  "build_subdirectory": ".",
+  "name": "SlicerVolBrain",
+  "description": "3D Slicer extension for comprehensive brain structure volume calculation and 3D visualization from volBrain segmentation outputs. Supports 108+ cortical regions, tissue classification, lobes, and macrostructures.",
+  "iconurl": "https://raw.githubusercontent.com/niyaziacer/SlicerVolBrain/main/VolBrainIcon.png",
+  "category": "Quantification",
+  "contributors": ["Niyazi Acer (Sanko University)"],
+  "dependencies": [],
+  "screenshoturls": [
+    "https://raw.githubusercontent.com/niyaziacer/SlicerVolBrain/main/Screenshots/interface.png",
+    "https://raw.githubusercontent.com/niyaziacer/SlicerVolBrain/main/Screenshots/3d_visualization.png"
+  ],
+  "enabled": true,
+  "homepage": "https://github.com/niyaziacer/SlicerVolBrain",
+  "status": "stable"
+}

TutorialMaker.json

@@ -4,6 +4,6 @@
   "build_subdirectory": ".",
   "category": "Developer Tools",
   "scm_revision": "main",
-  "scm_url": "https://github.com/SlicerLatinAmerica/SlicerTutorialMaker.git",
+  "scm_url": "https://github.com/SoniaPujolLab/SlicerTutorialMaker.git",
   "tier": 1
 }

scripts/check_description_files.py

@@ -105,9 +105,10 @@ def check_json_file_format(extension_name, metadata, extension_file_path):
             extension_name, check_name,
             f"Invalid JSON format: {str(e)}")
     # Force using LF-only line endings
-    with open(extension_file_path, 'r', encoding='utf-8') as f:
+    # Must open in binary mode to detect line endings
+    with open(extension_file_path, 'rb') as f:
         content = f.read()
-    if '\r\n' in content or '\r' in content:
+    if b'\r\n' in content or b'\r' in content:
         raise ExtensionCheckError(
             extension_name, check_name,
             "File contains non-LF line endings (CR or CRLF). Please convert to LF-only line endings.")

scripts/extension_ai_analysis.py

@@ -15,14 +15,17 @@
 import subprocess
 import shutil
 
-# Use Nebula Block API endpoint for chat completions.
+# Use MegaNova API endpoint for chat completions.
 # It offers capable models for free with an OpenAI-compatible API.
-INFERENCE_URL = "https://inference.nebulablock.com/v1/chat/completions"
+INFERENCE_URL = "https://inference.meganova.ai/v1/chat/completions"
 INFERENCE_MODEL = "mistralai/Mistral-Small-3.2-24B-Instruct-2506"
 INFERENCE_RESPONSE_PER_MINUTE_LIMIT = 4 #  slow down to not exceed token per minute (tpm) limit of 60k
-INFERENCE_API_KEY = os.getenv("NEBULA_API_KEY")
+INFERENCE_API_KEY = os.getenv("MEGANOVA_API_KEY")
 INFERENCE_MAX_CHARACTERS = 100000  # max characters in all files provided to the model, approximately 25k tokens (limit is 32k)
 
+if not INFERENCE_API_KEY:
+    raise ValueError("MEGANOVA_API_KEY environment variable is not set. Please set it before running the script.")
+
 QUESTIONS = [
     ["Is there a EXTENSION_DESCRIPTION variable in the CMakeLists.txt file that describes what the extension does in a few sentences that can be understood by a person knowledgeable in medical image computing?", ["cmake"]],
     ["Does the README.md file contain a short description, 1-2 sentences, which summarizes what the extension is usable for?", ["doc"]],