fix: use sentence-transformers[onnx] to prevent PyTorch CUDA installation

- Replace sentence-transformers with sentence-transformers[onnx] to avoid PyTorch dependency
- Use ONNX backend for CPU-only inference, saving gigabytes of disk space
- Update both root and discovery pyproject.toml files
- Regenerate uv.lock with new ONNX-based dependencies
- Resolves GitHub Actions build failures due to disk space exhaustion from CUDA libraries

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

Author: SimplicityGuy

discovery/Dockerfile

@@ -25,7 +25,7 @@ COPY common/pyproject.toml ./common/
 COPY discovery/pyproject.toml ./discovery/
 COPY discovery/constraints.txt ./discovery/
 
-# Install dependencies
+# Install dependencies (sentence-transformers[onnx] excludes PyTorch)
 # hadolint ignore=SC2015
 RUN --mount=type=cache,target=/tmp/.cache/uv \
     uv sync --frozen --no-dev --extra discovery && \

discovery/constraints.txt

@@ -1,8 +1,19 @@
 # Constraints file to exclude PyTorch and use ONNX Runtime instead
-# This significantly reduces the Docker image size
+# This significantly reduces the Docker image size and prevents CUDA installation
 
+cuda*==0.0.0
+
+# Prevent any CUDA-related packages
+nvidia-*==0.0.0
 
 # Use CPU-only ONNX Runtime
 onnxruntime!=*gpu*
-# Exclude PyTorch completely
+onnxruntime-gpu==0.0.0
+# Exclude all PyTorch packages to prevent CUDA downloads
 torch==0.0.0
+
+# Force sentence-transformers to use ONNX backend only
+torch-audio==0.0.0
+torchaudio==0.0.0
+torchtext==0.0.0
+torchvision==0.0.0

discovery/pyproject.toml

@@ -44,9 +44,8 @@ dependencies = [
     "onnx>=1.14.0",                     # ONNX format
     "onnxruntime>=1.16.0",              # ONNX inference runtime
     "optimum[onnxruntime]>=1.13.0",     # HuggingFace ONNX optimization
-    # Note: sentence-transformers is installed but PyTorch is excluded
-    "sentence-transformers>=2.2.0",     # Semantic search
-    "transformers>=4.30.0",             # Required by sentence-transformers
+    # Note: sentence-transformers with ONNX backend (no PyTorch needed)
+    "sentence-transformers[onnx]>=2.2.0",   # Semantic search with ONNX backend
     "plotly>=5.17.0",                   # Advanced visualizations
     "sqlalchemy[asyncio]>=2.0.0",       # Async SQL toolkit
 ]

pyproject.toml

@@ -90,7 +90,7 @@ discovery = [
     "numpy>=1.26.0",                    # Numerical computations
     "pandas>=2.1.0",                    # Data analysis
     "scikit-learn>=1.3.0",              # Machine learning
-    "sentence-transformers>=2.2.0",     # Semantic search
+    "sentence-transformers[onnx]>=2.2.0",   # Semantic search with ONNX backend
     "plotly>=5.17.0",                   # Advanced visualizations
     "sqlalchemy[asyncio]>=2.0.0",       # Async SQL toolkit
     "asyncpg>=0.29.0",                  # Async PostgreSQL driver