feast-dev · ntkathole · Jul 31, 2026 · Jul 29, 2026 · Jul 30, 2026 · Jul 30, 2026
diff --git a/.github/workflows/pr_duckdb_integration_tests.yml b/.github/workflows/pr_duckdb_integration_tests.yml
@@ -26,9 +26,9 @@ jobs:
           token: ${{ secrets.GITHUB_TOKEN }}
           submodules: recursive
       - name: Setup pixi
-        uses: prefix-dev/setup-pixi@v0.8.1
+        uses: prefix-dev/setup-pixi@v0.10.0
         with:
-          pixi-version: v0.63.1
+          pixi-version: v0.75.0
           environments: duckdb-tests
           cache: true
       - name: Run DuckDB offline store integration tests

diff --git a/.github/workflows/pr_ray_integration_tests.yml b/.github/workflows/pr_ray_integration_tests.yml
@@ -26,9 +26,9 @@ jobs:
           token: ${{ secrets.GITHUB_TOKEN }}
           submodules: recursive
       - name: Setup pixi
-        uses: prefix-dev/setup-pixi@v0.8.1
+        uses: prefix-dev/setup-pixi@v0.10.0
         with:
-          pixi-version: v0.63.1
+          pixi-version: v0.75.0
           environments: ray-tests
           cache: true
       - name: Run Ray integration tests (offline store + compute engine)

diff --git a/.github/workflows/pr_registration_integration_tests.yml b/.github/workflows/pr_registration_integration_tests.yml
@@ -29,9 +29,9 @@ jobs:
           persist-credentials: false
           allow-unsafe-pr-checkout: true  # Security: gated by label check above
       - name: Setup pixi
-        uses: prefix-dev/setup-pixi@v0.8.1
+        uses: prefix-dev/setup-pixi@v0.10.0
         with:
-          pixi-version: v0.63.1
+          pixi-version: v0.75.0
           environments: registration-tests
           cache: true
       - name: Run registration integration tests (local)
@@ -82,9 +82,9 @@ jobs:
       - name: Install Hadoop dependencies
         run: make install-hadoop-dependencies-ci
       - name: Setup pixi
-        uses: prefix-dev/setup-pixi@v0.8.1
+        uses: prefix-dev/setup-pixi@v0.10.0
         with:
-          pixi-version: v0.63.1
+          pixi-version: v0.75.0
           environments: registration-tests
           cache: true
       - name: Run registration integration tests (CI)

diff --git a/Makefile b/Makefile
@@ -151,9 +151,10 @@ lock-python-dependencies-all: ## Recompile and lock all Python dependency sets f
 			"uv pip compile -p $(ver) --no-strip-extras pyproject.toml --extra minimal-sdist-build \
 			--no-emit-package milvus-lite \
 			--no-emit-package pymilvus \
+			--no-emit-package faiss-cpu \
 			--generate-hashes --output-file sdk/python/requirements/py$(ver)-minimal-sdist-requirements.txt" && \
 		pixi run --environment $(call get_env_name,$(ver)) --manifest-path infra/scripts/pixi/pixi.toml \
-			"uv pip install -p $(ver) pybuild-deps==0.5.0 pip==25.0.1 && \
+			"uv pip install -p $(ver) pybuild-deps==0.5.0 pip==25.0.1 typing_extensions && \
 			pybuild-deps compile --generate-hashes \
 			-o sdk/python/requirements/py$(ver)-minimal-sdist-requirements-build.txt \
 			sdk/python/requirements/py$(ver)-minimal-sdist-requirements.txt" && \

diff --git a/pixi.lock b/pixi.lock
diff --git a/pyproject.toml b/pyproject.toml
@@ -36,7 +36,7 @@ dependencies = [
     "typeguard>=4.0.0",
     "fastapi>=0.68.0",
     "starlette>=1.0.1",
-    "uvicorn[standard]>=0.30.6,<=0.34.0",
+    "uvicorn[standard]>=0.30.6",
     "uvicorn-worker",
     "gunicorn; platform_system != 'Windows'",
     "dask[dataframe]>=2024.2.1",
@@ -262,6 +262,10 @@ line-length = 88
 target-version = "py310"
 include = ["*.py", "*.pyi"]
 
+[tool.ruff.lint]
+# Keep on using old default rules: https://astral.sh/blog/ruff-v0.16.0
+select = ["E4", "E7", "E9", "F"]
+
 [tool.ruff.format]
 # exclude a few common directories in the root of the project
 exclude = [

@@ -87,12 +87,13 @@ feature_vector = store.get_online_features(
     ],
 ).to_dict()
 pprint(feature_vector)
-
 ```
 #### Output
 ```python
-{'acc_rate': [0.01390857808291912, 0.4063614010810852],
- 'avg_daily_trips': [69, 706],
- 'conv_rate': [0.6624961495399475, 0.7595928311347961],
- 'driver_id': [1004, 1005]}
+{
+    "acc_rate": [0.01390857808291912, 0.4063614010810852],
+    "avg_daily_trips": [69, 706],
+    "conv_rate": [0.6624961495399475, 0.7595928311347961],
+    "driver_id": [1004, 1005],
+}
 ```
@@ -67,7 +67,6 @@ feature_vector = store.get_online_features(
     ],
 ).to_dict()
 pprint(feature_vector)
-
 ```
 #### Output
 ```

@@ -73,7 +73,6 @@ feature_vector = store.get_online_features(
     ],
 ).to_dict()
 pprint(feature_vector)
-
 ```
 #### Output
 ```

@@ -255,12 +255,15 @@ def load_artifacts(app: FastAPI):
 
     # Update global references for easy access
     import example_repo
+
     example_repo._sentiment_model = app.state.sentiment_model
     example_repo._lookup_tables = app.state.lookup_tables
 
+
 # example_repo.py - Use pre-loaded artifacts
 _sentiment_model = None  # Set by static_artifacts.py
 
+
 def sentiment_prediction(inputs):
     global _sentiment_model
     if _sentiment_model is not None:
@@ -296,16 +299,19 @@ def load_custom_embeddings():
     embeddings_file = Path(__file__).parent / "data" / "user_embeddings.npy"
     if embeddings_file.exists():
         import numpy as np
+
         return {"embeddings": np.load(embeddings_file)}
     return None
 
+
 def load_artifacts(app: FastAPI):
     # Load your custom artifacts
     app.state.custom_embeddings = load_custom_embeddings()
     app.state.config_params = {"threshold": 0.7, "top_k": 10}
 
     # Make them available to feature views
     import example_repo
+
     example_repo._custom_embeddings = app.state.custom_embeddings
 ```
 
@@ -326,11 +332,21 @@ store = FeatureStore(repo_path=".")
 from datetime import datetime
 import pandas as pd
 
-entity_df = pd.DataFrame({
-    "text_id": ["text_0000", "text_0001", "text_0002"],
-    "user_id": ["user_080", "user_091", "user_052"],  # Use actual generated user IDs
-    "event_timestamp": [datetime.now(), datetime.now(), datetime.now()]  # Current timestamps
-})
+entity_df = pd.DataFrame(
+    {
+        "text_id": ["text_0000", "text_0001", "text_0002"],
+        "user_id": [
+            "user_080",
+            "user_091",
+            "user_052",
+        ],  # Use actual generated user IDs
+        "event_timestamp": [
+            datetime.now(),
+            datetime.now(),
+            datetime.now(),
+        ],  # Current timestamps
+    }
+)
 
 training_df = store.get_historical_features(
     entity_df=entity_df,
@@ -352,7 +368,7 @@ print(training_df.head())
 # Get features for online serving (use actual entity combinations)
 entity_rows = [
     {"text_id": "text_0000", "user_id": "user_080"},
-    {"text_id": "text_0001", "user_id": "user_091"}
+    {"text_id": "text_0001", "user_id": "user_091"},
 ]
 
 online_features = store.get_online_features(
@@ -367,10 +383,12 @@ print("Online features:", online_features)
 
 ```python
 # Real-time sentiment analysis
-prediction_rows = [{
-    "input_text": "I love this product!",
-    "model_name": "cardiffnlp/twitter-roberta-base-sentiment-latest"
-}]
+prediction_rows = [
+    {
+        "input_text": "I love this product!",
+        "model_name": "cardiffnlp/twitter-roberta-base-sentiment-latest",
+    }
+]
 
 predictions = store.get_online_features(
     features=[
@@ -473,12 +491,14 @@ curl -X POST \
 
 ### Adding New Features
 
+<!-- fmt:off -->
 ```python
 # In example_repo.py, add to text_features_fv schema:
 Field(name="hashtag_count", dtype=Int64, description="Number of hashtags"),
 Field(name="mention_count", dtype=Int64, description="Number of @mentions"),
 Field(name="url_count", dtype=Int64, description="Number of URLs"),
 ```
+<!-- fmt:on -->
 
 ### Using Different Models
 

@@ -110,7 +110,7 @@ results = store.retrieve_online_documents_v2(
 
 # Display results with metadata
 for i in range(len(results["document_id_pk"])):
-    print(f"{i+1}. {results['movie_name'][i]}")
+    print(f"{i + 1}. {results['movie_name'][i]}")
     print(f"   Director: {results['movie_director'][i]}")
     print(f"   Distance: {results['distance'][i]:.3f}")
 ```
-Original file line number
+Diff line change
@@ Expand Up / @@ -67,7 +67,6 @@ feature_vector = store.get_online_features( @@
         ],
     ).to_dict()
     pprint(feature_vector)
     ```
     #### Output
     ```
@@ Expand Down @@