fix: Move gcp back to 1.47.0 since grpcio-tools 1.48.0 got yanked fro…

…m pypi (#2990) Fix Signed-off-by: Kevin Zhang <kzhang@tecton.ai>
feast-dev · Aug 10, 2022 · f7e44da · f7e44da
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diff --git a/.github/workflows/build_wheels.yml b/.github/workflows/build_wheels.yml
@@ -204,7 +204,7 @@ jobs:
         env:
           COMPILE_GO: "True"
         run: |
-          pip install 'grpcio-tools==1.48.0' 'pybindgen==0.22.0'
+          pip install 'grpcio-tools==1.47.0' 'pybindgen==0.22.0'
           go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.26.0
           go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@v1.1.0
           pip install dist/*tar.gz

diff --git a/Makefile b/Makefile
@@ -196,7 +196,7 @@ install-go-ci-dependencies:
 	python -m pip install pybindgen==0.22.0 protobuf==3.20.1
 
 install-protoc-dependencies:
-	pip install grpcio-tools==1.48.0 mypy-protobuf==3.1.0
+	pip install grpcio-tools==1.47.0 mypy-protobuf==3.1.0
 
 compile-protos-go: install-go-proto-dependencies install-protoc-dependencies
 	python setup.py build_go_protos

diff --git a/README.md b/README.md
@@ -18,14 +18,7 @@
 
 ## Overview
 
-Feast (**Fea**ture **St**ore) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference.
-
-
-Feast allows ML platform teams to:
-
-* **Make features consistently available for training and serving** by managing an _offline store_ (to process historical data for scale-out batch scoring or model training), a low-latency _online store_ (to power real-time prediction)_,_ and a battle-tested _feature server_ (for serving pre-computed features online).&#x20;
-* **Avoid data leakage** by generating point-in-time correct feature sets so data scientists can focus on feature engineering rather than debugging error-prone dataset joining logic. This ensure that future feature values do not leak to models during training.
-* **Decouple ML from data infrastructure** by providing a single data access layer that abstracts feature storage from feature retrieval, ensuring models remain portable as you move from training models to serving models, from batch models to realtime models, and from one data infra system to another.
+Feast is an open source feature store for machine learning. Feast is the fastest path to productionizing analytic data for model training and online inference.
 
 Please see our [documentation](https://docs.feast.dev/) for more information about the project.
 
@@ -170,6 +163,7 @@ The list below contains the functionality that contributors are planning to deve
   * [x] [In-memory / Pandas](https://docs.feast.dev/reference/offline-stores/file)
   * [x] [Custom offline store support](https://docs.feast.dev/how-to-guides/adding-a-new-offline-store)
 * **Online Stores**
+  * [x] [Snowflake](https://docs.feast.dev/reference/online-stores/snowflake)
   * [x] [DynamoDB](https://docs.feast.dev/reference/online-stores/dynamodb)
   * [x] [Redis](https://docs.feast.dev/reference/online-stores/redis)
   * [x] [Datastore](https://docs.feast.dev/reference/online-stores/datastore)
@@ -205,6 +199,7 @@ The list below contains the functionality that contributors are planning to deve
   * [x] DataHub integration (see [DataHub Feast docs](https://datahubproject.io/docs/generated/ingestion/sources/feast/))
   * [x] Feast Web UI (Alpha release. See [documentation](https://docs.feast.dev/reference/alpha-web-ui))
 
+
 ## 🎓 Important Resources
 
 Please refer to the official documentation at [Documentation](https://docs.feast.dev/)

diff --git a/sdk/python/requirements/py3.10-ci-requirements.txt b/sdk/python/requirements/py3.10-ci-requirements.txt
@@ -261,19 +261,19 @@ great-expectations==0.14.13
     # via feast (setup.py)
 greenlet==1.1.2
     # via sqlalchemy
-grpcio==1.48.0
+grpcio==1.47.0
     # via
     #   feast (setup.py)
     #   google-api-core
     #   google-cloud-bigquery
     #   grpcio-reflection
     #   grpcio-testing
     #   grpcio-tools
-grpcio-reflection==1.48.0
+grpcio-reflection==1.47.0
     # via feast (setup.py)
-grpcio-testing==1.48.0
+grpcio-testing==1.47.0
     # via feast (setup.py)
-grpcio-tools==1.48.0
+grpcio-tools==1.47.0
     # via feast (setup.py)
 h11==0.13.0
     # via uvicorn

diff --git a/sdk/python/requirements/py3.10-requirements.txt b/sdk/python/requirements/py3.10-requirements.txt
@@ -40,7 +40,7 @@ dill==0.3.5.1
     # via feast (setup.py)
 fastapi==0.79.0
     # via feast (setup.py)
-fastavro==1.5.3
+fastavro==1.5.4
     # via
     #   feast (setup.py)
     #   pandavro
@@ -57,13 +57,11 @@ googleapis-common-protos==1.56.4
     #   feast (setup.py)
     #   google-api-core
     #   tensorflow-metadata
-greenlet==1.1.2
-    # via sqlalchemy
-grpcio==1.48.0
+grpcio==1.47.0
     # via
     #   feast (setup.py)
     #   grpcio-reflection
-grpcio-reflection==1.48.0
+grpcio-reflection==1.47.0
     # via feast (setup.py)
 h11==0.13.0
     # via uvicorn
@@ -75,7 +73,7 @@ idna==3.3
     #   requests
 jinja2==3.1.2
     # via feast (setup.py)
-jsonschema==4.8.0
+jsonschema==4.9.0
     # via feast (setup.py)
 locket==1.0.0
     # via partd

diff --git a/sdk/python/requirements/py3.7-ci-requirements.txt b/sdk/python/requirements/py3.7-ci-requirements.txt
@@ -265,19 +265,19 @@ great-expectations==0.14.13
     # via feast (setup.py)
 greenlet==1.1.2
     # via sqlalchemy
-grpcio==1.48.0
+grpcio==1.47.0
     # via
     #   feast (setup.py)
     #   google-api-core
     #   google-cloud-bigquery
     #   grpcio-reflection
     #   grpcio-testing
     #   grpcio-tools
-grpcio-reflection==1.48.0
+grpcio-reflection==1.47.0
     # via feast (setup.py)
-grpcio-testing==1.48.0
+grpcio-testing==1.47.0
     # via feast (setup.py)
-grpcio-tools==1.48.0
+grpcio-tools==1.47.0
     # via feast (setup.py)
 h11==0.13.0
     # via uvicorn

diff --git a/sdk/python/requirements/py3.7-requirements.txt b/sdk/python/requirements/py3.7-requirements.txt
@@ -59,11 +59,11 @@ googleapis-common-protos==1.56.4
     #   tensorflow-metadata
 greenlet==1.1.2
     # via sqlalchemy
-grpcio==1.48.0
+grpcio==1.47.0
     # via
     #   feast (setup.py)
     #   grpcio-reflection
-grpcio-reflection==1.48.0
+grpcio-reflection==1.47.0
     # via feast (setup.py)
 h11==0.13.0
     # via uvicorn

diff --git a/sdk/python/requirements/py3.8-ci-requirements.txt b/sdk/python/requirements/py3.8-ci-requirements.txt
@@ -265,19 +265,19 @@ great-expectations==0.14.13
     # via feast (setup.py)
 greenlet==1.1.2
     # via sqlalchemy
-grpcio==1.48.0
+grpcio==1.47.0
     # via
     #   feast (setup.py)
     #   google-api-core
     #   google-cloud-bigquery
     #   grpcio-reflection
     #   grpcio-testing
     #   grpcio-tools
-grpcio-reflection==1.48.0
+grpcio-reflection==1.47.0
     # via feast (setup.py)
-grpcio-testing==1.48.0
+grpcio-testing==1.47.0
     # via feast (setup.py)
-grpcio-tools==1.48.0
+grpcio-tools==1.47.0
     # via feast (setup.py)
 h11==0.13.0
     # via uvicorn

diff --git a/sdk/python/requirements/py3.8-requirements.txt b/sdk/python/requirements/py3.8-requirements.txt
@@ -40,7 +40,7 @@ dill==0.3.5.1
     # via feast (setup.py)
 fastapi==0.79.0
     # via feast (setup.py)
-fastavro==1.5.3
+fastavro==1.5.4
     # via
     #   feast (setup.py)
     #   pandavro
@@ -57,13 +57,11 @@ googleapis-common-protos==1.56.4
     #   feast (setup.py)
     #   google-api-core
     #   tensorflow-metadata
-greenlet==1.1.2
-    # via sqlalchemy
-grpcio==1.48.0
+grpcio==1.47.0
     # via
     #   feast (setup.py)
     #   grpcio-reflection
-grpcio-reflection==1.48.0
+grpcio-reflection==1.47.0
     # via feast (setup.py)
 h11==0.13.0
     # via uvicorn
@@ -77,7 +75,7 @@ importlib-resources==5.9.0
     # via jsonschema
 jinja2==3.1.2
     # via feast (setup.py)
-jsonschema==4.8.0
+jsonschema==4.9.0
     # via feast (setup.py)
 locket==1.0.0
     # via partd
@@ -107,6 +105,8 @@ pandavro==1.5.2
     # via feast (setup.py)
 partd==1.2.0
     # via dask
+pkgutil-resolve-name==1.3.10
+    # via jsonschema
 proto-plus==1.20.6
     # via feast (setup.py)
 protobuf==3.20.1

diff --git a/sdk/python/requirements/py3.9-ci-requirements.txt b/sdk/python/requirements/py3.9-ci-requirements.txt
@@ -261,19 +261,19 @@ great-expectations==0.14.13
     # via feast (setup.py)
 greenlet==1.1.2
     # via sqlalchemy
-grpcio==1.48.0
+grpcio==1.47.0
     # via
     #   feast (setup.py)
     #   google-api-core
     #   google-cloud-bigquery
     #   grpcio-reflection
     #   grpcio-testing
     #   grpcio-tools
-grpcio-reflection==1.48.0
+grpcio-reflection==1.47.0
     # via feast (setup.py)
-grpcio-testing==1.48.0
+grpcio-testing==1.47.0
     # via feast (setup.py)
-grpcio-tools==1.48.0
+grpcio-tools==1.47.0
     # via feast (setup.py)
 h11==0.13.0
     # via uvicorn

diff --git a/sdk/python/requirements/py3.9-requirements.txt b/sdk/python/requirements/py3.9-requirements.txt
@@ -40,7 +40,7 @@ dill==0.3.5.1
     # via feast (setup.py)
 fastapi==0.79.0
     # via feast (setup.py)
-fastavro==1.5.3
+fastavro==1.5.4
     # via
     #   feast (setup.py)
     #   pandavro
@@ -57,13 +57,11 @@ googleapis-common-protos==1.56.4
     #   feast (setup.py)
     #   google-api-core
     #   tensorflow-metadata
-greenlet==1.1.2
-    # via sqlalchemy
-grpcio==1.48.0
+grpcio==1.47.0
     # via
     #   feast (setup.py)
     #   grpcio-reflection
-grpcio-reflection==1.48.0
+grpcio-reflection==1.47.0
     # via feast (setup.py)
 h11==0.13.0
     # via uvicorn
@@ -75,7 +73,7 @@ idna==3.3
     #   requests
 jinja2==3.1.2
     # via feast (setup.py)
-jsonschema==4.8.0
+jsonschema==4.9.0
     # via feast (setup.py)
 locket==1.0.0
     # via partd