minor ci fixes

.gitea/workflows/security.yml

@@ -41,7 +41,7 @@ jobs:
         continue-on-error: true
 
       - name: Upload security reports
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v3
         with:
           name: security-reports
           path: |

.gitea/workflows/test.yml

@@ -2,16 +2,20 @@ name: Test Suite
 
 on:
   push:
-    branches: ["*"]
+    branches: 
+      - "main"
+      - "develop"
   pull_request:
-    branches: ["main", "master"]
+    branches: 
+      - "main"
+  workflow_dispatch:
 
 jobs:
   test:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.11", "3.12"]
+        python-version: ["3.11"]
 
     steps:
       - name: Checkout code

CLAUDE.md

@@ -42,7 +42,7 @@ Use the included `sample_data.ndjson` and `sample_prompts.ndjson` files for test
 
 The application follows a modular architecture with clear separation of concerns:
 
-```
+```text
 src/embeddingbuddy/
 ├── app.py              # Main application entry point and factory
 ├── main.py             # Application runner
@@ -72,27 +72,32 @@ src/embeddingbuddy/
 ### Key Components
 
 **Data Layer:**
+
 - `data/parser.py` - NDJSON parsing with error handling
 - `data/processor.py` - Data transformation and combination logic
 - `models/schemas.py` - Dataclasses for type safety and validation
 
 **Algorithm Layer:**
+
 - `models/reducers.py` - Modular dimensionality reduction with factory pattern
 - Supports PCA, t-SNE (openTSNE), and UMAP algorithms
 - Abstract base class for easy extension
 
 **Visualization Layer:**
+
 - `visualization/plots.py` - Plot factory with single and dual plot support
 - `visualization/colors.py` - Color mapping and grayscale conversion utilities
 - Plotly-based 2D/3D scatter plots with interactive features
 
 **UI Layer:**
+
 - `ui/layout.py` - Main application layout composition
 - `ui/components/` - Reusable, testable UI components
 - `ui/callbacks/` - Organized callbacks grouped by functionality
 - Bootstrap-styled sidebar with controls and large visualization area
 
 **Configuration:**
+
 - `config/settings.py` - Centralized settings with environment variable support
 - Plot styling, marker configurations, and app-wide constants
 
@@ -112,16 +117,19 @@ Optional fields: `id`, `category`, `subcategory`, `tags`
 The refactored callback system is organized by functionality:
 
 **Data Processing (`ui/callbacks/data_processing.py`):**
+
 - File upload handling
 - NDJSON parsing and validation
 - Data storage in dcc.Store components
 
 **Visualization (`ui/callbacks/visualization.py`):**
+
 - Dimensionality reduction pipeline
 - Plot generation and updates
 - Method/parameter change handling
 
 **Interactions (`ui/callbacks/interactions.py`):**
+
 - Point click handling and detail display
 - Reset functionality
 - User interaction management
@@ -131,15 +139,18 @@ The refactored callback system is organized by functionality:
 The modular design enables comprehensive testing:
 
 **Unit Tests:**
+
 - `tests/test_data_processing.py` - Parser and processor logic
 - `tests/test_reducers.py` - Dimensionality reduction algorithms
 - `tests/test_visualization.py` - Plot creation and color mapping
 
 **Integration Tests:**
+
 - End-to-end data pipeline testing
 - Component integration verification
 
 **Key Testing Benefits:**
+
 - Fast test execution (milliseconds vs seconds)
 - Isolated component testing
 - Easy mocking and fixture creation
@@ -167,6 +178,7 @@ Uses modern Python stack with uv for dependency management:
 5. **Tests** - Write tests for all new functionality
 
 **Code Organization Principles:**
+
 - Single responsibility principle
 - Clear module boundaries  
 - Testable, isolated components
@@ -174,6 +186,7 @@ Uses modern Python stack with uv for dependency management:
 - Error handling at appropriate layers
 
 **Testing Requirements:**
+
 - Unit tests for all core logic
 - Integration tests for data flow
 - Component tests for UI elements