ci: Pin CPU-only torch and bound floating dependencies

Makefile

@@ -109,14 +109,10 @@ install-python-dependencies-ci: ## Install Python CI dependencies using uv pip s
 		echo "Creating virtualenv..."; \
 		uv venv .venv; \
 	fi
-	# Install CPU-only torch first to prevent CUDA dependency issues (Linux only)
-	@if [ "$$(uname -s)" = "Linux" ]; then \
-		echo "Installing dependencies with torch CPU index for Linux..."; \
-		uv pip sync --torch-backend cpu sdk/python/requirements/py$(PYTHON_VERSION)-ci-requirements.txt; \
-	else \
-		echo "Installing dependencies from PyPI for macOS..."; \
-		uv pip sync sdk/python/requirements/py$(PYTHON_VERSION)-ci-requirements.txt; \
-	fi
+	# Must match the --torch-backend used to compile the CI lock, otherwise the
+	# recorded CPU-wheel hashes (from download.pytorch.org) fail to verify.
+	# The lock is universal, so one command serves both Linux and macOS.
+	uv pip sync --torch-backend cpu sdk/python/requirements/py$(PYTHON_VERSION)-ci-requirements.txt
 	uv pip install --no-deps -e .
 
 # Used in github actions/ci
@@ -139,7 +135,8 @@ lock-python-dependencies-all: ## Recompile and lock all Python dependency sets f
 	rm -rf sdk/python/requirements/* 2>/dev/null || true
 	$(foreach ver,$(PYTHON_VERSIONS),\
 		pixi run --environment $(call get_env_name,$(ver)) --manifest-path infra/scripts/pixi/pixi.toml \
-			"uv pip compile -p $(ver) --no-strip-extras pyproject.toml --extra ci \
+			"uv pip compile -p $(ver) --universal --no-strip-extras pyproject.toml --extra ci \
+			--torch-backend cpu \
 			--generate-hashes --output-file sdk/python/requirements/py$(ver)-ci-requirements.txt" && \
 		pixi run --environment $(call get_env_name,$(ver)) --manifest-path infra/scripts/pixi/pixi.toml \
 			"uv pip compile -p $(ver) --no-strip-extras pyproject.toml \

infra/scripts/pixi/pixi.toml

@@ -6,7 +6,7 @@ platforms = ["linux-64", "osx-arm64", "osx-64"]
 [tasks]
 
 [dependencies]
-uv = ">=0.6.3"
+uv = ">=0.6.9"
 
 [feature.py39.dependencies]
 python = "~=3.9.0"

pyproject.toml

@@ -142,7 +142,7 @@ snowflake = [
     "snowflake-connector-python[pandas]>=3.7,<5",
 ]
 sqlite_vec = ["sqlite-vec==v0.1.6"]
-mcp = ["fastapi_mcp", "mcp>=1.0,<2"]
+mcp = ["fastapi_mcp", "mcp>=1.0,<1.30"]
 mlflow = ["mlflow>=2.10.0"]
 
 dbt = ["dbt-artifacts-parser"]

sdk/python/feast/infra/ray_initializer.py

@@ -700,6 +700,8 @@ def _initialize_local_ray(config: Any, enable_logging: bool = False) -> None:
     ctx = DatasetContext.get_current()
     ctx.shuffle_strategy = "sort"  # type: ignore
     ctx.enable_tensor_extension_casting = False
+    if hasattr(ctx, "enable_arrow_backed_pandas_conversion"):
+        ctx.enable_arrow_backed_pandas_conversion = False
 
     # Log cluster info
     if enable_logging:
@@ -760,6 +762,8 @@ def _initialize_remote_ray(config: Any, enable_logging: bool = False) -> None:
     ctx = DatasetContext.get_current()
     ctx.shuffle_strategy = "sort"  # type: ignore
     ctx.enable_tensor_extension_casting = False
+    if hasattr(ctx, "enable_arrow_backed_pandas_conversion"):
+        ctx.enable_arrow_backed_pandas_conversion = False
 
     # Log cluster info
     if enable_logging:
@@ -853,6 +857,8 @@ def ensure_ray_initialized(
         ctx = DatasetContext.get_current()
         ctx.shuffle_strategy = "sort"  # type: ignore
         ctx.enable_tensor_extension_casting = False
+        if hasattr(ctx, "enable_arrow_backed_pandas_conversion"):
+            ctx.enable_arrow_backed_pandas_conversion = False
         if not enable_logging:
             _suppress_ray_logging()
         _ray_initialized = True