0.2.0 --> 0.2.1 Release (#966)

CHANGELOG.md

@@ -1,7 +1,44 @@
 # Changelog
 
+## 0.2.1
+Released on February 7, 2023.
+
+### Key Features
+* Allows customizing artifact names from the SDK in one of two ways.
+    ```python
+    # Method 1: Use the decorator
+    @op(outputs=['sklearn model', 'churn predictions'])
+    def train_and_predict_churn(features):
+      # ...
+      return model, predictions
+
+    # Method 2: Use .set_name()
+    @op
+    def train_model(features):
+      # ...
+      return model
+
+    # ...
+    model = train_model(features)
+    model.set_name('churn model')
+    ```
+
+### Enhancements
+* Allows providing filepath to ServiceAccount key file when connecting to
+    BigQuery from Aqueduct SDK.
+* Improves form validation when connecting Databricks integration.
+* Throughout the SDK, enables references to workflows using workflow name in
+    addition to workflow ID.
+* Puts upper bounds on Python package dependencies to prevent unexpected
+    regressions (e.g., recent issues caused by SQLAlchemy 2.0).
+
+### Bugfixes
+* Fixes bug where errors were not being properly handled when an operator had
+    multiple outputs. This was occurring because the return value didn't have
+    the expected length.
+
 ## 0.2.0
-Release on January 31, 2023
+Released on January 31, 2023
 
 ### Key Features
 * [Beta] Aqueduct now supports running workflows on Databricks Spark clusters! 

sdk/setup.py

@@ -18,7 +18,7 @@
 
 setuptools.setup(
     name="aqueduct-sdk",
-    version="0.2.0",
+    version="0.2.1",
     author="Aqueduct, Inc.",
     author_email="[email protected]",
     description="Python SDK for the Aqueduct prediction infrastructure",

src/dockerfiles/Makefile

@@ -1,5 +1,5 @@
 .DEFAULT_GOAL = all
-VERSION = 0.2.0
+VERSION = 0.2.1
 
 # By default, turn off the Makefile practice of printing each command before
 # you run it.

src/dockerfiles/connectors/athena.dockerfile

@@ -1,4 +1,4 @@
-FROM aqueducthq/base_connector:0.2.0
+FROM aqueducthq/base_connector:0.2.1
 
 MAINTAINER Aqueduct <[email protected]> version: 0.1
 

src/dockerfiles/connectors/bigquery.dockerfile

@@ -1,4 +1,4 @@
-FROM aqueducthq/base_connector:0.2.0
+FROM aqueducthq/base_connector:0.2.1
 
 MAINTAINER Aqueduct <[email protected]> version: 0.1
 

src/dockerfiles/connectors/mysql.dockerfile

@@ -1,4 +1,4 @@
-FROM aqueducthq/base_connector:0.2.0
+FROM aqueducthq/base_connector:0.2.1
 
 MAINTAINER Aqueduct <[email protected]> version: 0.1
 

src/dockerfiles/connectors/postgres.dockerfile

@@ -1,4 +1,4 @@
-FROM aqueducthq/base_connector:0.2.0
+FROM aqueducthq/base_connector:0.2.1
 
 MAINTAINER Aqueduct <[email protected]> version: 0.1
 

src/dockerfiles/connectors/s3.dockerfile

@@ -1,4 +1,4 @@
-FROM aqueducthq/base_connector:0.2.0
+FROM aqueducthq/base_connector:0.2.1
 
 MAINTAINER Aqueduct <[email protected]> version: 0.1
 

src/dockerfiles/connectors/snowflake.dockerfile

@@ -1,4 +1,4 @@
-FROM aqueducthq/base_connector:0.2.0
+FROM aqueducthq/base_connector:0.2.1
 
 MAINTAINER Aqueduct <[email protected]> version: 0.1
 

src/dockerfiles/connectors/sqlserver.dockerfile

@@ -1,4 +1,4 @@
-FROM aqueducthq/base_connector:0.2.0
+FROM aqueducthq/base_connector:0.2.1
 
 MAINTAINER Aqueduct <[email protected]> version: 0.1
 

src/dockerfiles/function/function310.dockerfile

@@ -16,7 +16,7 @@ pyarrow==7.0.0 \
 boto3==1.18.0 \
 pydantic==1.9.0 \
 scikit_learn==1.0.2 \
-aqueduct-ml==0.2.0
+aqueduct-ml==0.2.1
 
 ENV PYTHONUNBUFFERED 1
 

src/dockerfiles/function/function37.dockerfile

@@ -16,7 +16,7 @@ boto3==1.18.0 \
 pydantic==1.9.0 \
 scikit_learn==1.0.2 \
 typing_extensions==4.3.0 \
-aqueduct-ml==0.2.0
+aqueduct-ml==0.2.1
 
 
 ENV PYTHONUNBUFFERED 1

src/dockerfiles/function/function38.dockerfile

@@ -16,7 +16,7 @@ pyarrow==7.0.0 \
 boto3==1.18.0 \
 pydantic==1.9.0 \
 scikit_learn==1.0.2 \
-aqueduct-ml==0.2.0
+aqueduct-ml==0.2.1
 
 ENV PYTHONUNBUFFERED 1
 

src/dockerfiles/function/function39.dockerfile

@@ -16,7 +16,7 @@ pyarrow==7.0.0 \
 boto3==1.18.0 \
 pydantic==1.9.0 \
 scikit_learn==1.0.2 \
-aqueduct-ml==0.2.0
+aqueduct-ml==0.2.1
 
 ENV PYTHONUNBUFFERED 1
 

src/dockerfiles/gpu/py310_env.yml

@@ -14,4 +14,4 @@ dependencies:
   - pip:
     - scikit_learn==1.0.2
     - typing_extensions==4.3.0
-    - aqueduct-ml==0.2.0
+    - aqueduct-ml==0.2.1

src/dockerfiles/gpu/py37_env.yml

@@ -14,4 +14,4 @@ dependencies:
   - pip:
     - scikit_learn==1.0.2
     - typing_extensions==4.3.0
-    - aqueduct-ml==0.2.0
+    - aqueduct-ml==0.2.1

src/dockerfiles/gpu/py38_env.yml

@@ -14,4 +14,4 @@ dependencies:
   - pip:
     - scikit_learn==1.0.2
     - typing_extensions==4.3.0
-    - aqueduct-ml==0.2.0
+    - aqueduct-ml==0.2.1

src/dockerfiles/gpu/py39_env.yml

@@ -14,4 +14,4 @@ dependencies:
   - pip:
     - scikit_learn==1.0.2
     - typing_extensions==4.3.0
-    - aqueduct-ml==0.2.0
+    - aqueduct-ml==0.2.1

src/dockerfiles/lambda/function/requirements-37.txt

@@ -7,4 +7,4 @@ boto3==1.18.0
 pydantic==1.9.0
 scikit_learn==1.0.2
 typing_extensions==4.3.0
-aqueduct-ml==0.2.0
+aqueduct-ml==0.2.1

src/dockerfiles/lambda/function/requirements.txt

@@ -6,4 +6,4 @@ pyarrow==7.0.0
 boto3==1.18.0
 pydantic==1.9.0
 scikit_learn==1.0.2
-aqueduct-ml==0.2.0
+aqueduct-ml==0.2.1

src/dockerfiles/lambda/requirements.txt

@@ -6,4 +6,4 @@ pydantic==1.9.0
 pyyaml
 SQLAlchemy==1.4.30
 typing_extensions==4.3.0
-aqueduct-ml==0.2.0
+aqueduct-ml==0.2.1

src/golang/lib/constants.go

@@ -1,3 +1,3 @@
 package lib
 
-const ServerVersionNumber = "0.2.0"
+const ServerVersionNumber = "0.2.1"

src/python/bin/aqueduct

@@ -37,7 +37,7 @@ base_directory = os.path.join(os.environ["HOME"], ".aqueduct")
 server_directory = os.path.join(os.environ["HOME"], ".aqueduct", "server")
 ui_directory = os.path.join(os.environ["HOME"], ".aqueduct", "ui")
 
-package_version = "0.2.0"
+package_version = "0.2.1"
 aws_credentials_path = os.path.join(os.environ["HOME"], ".aws", "credentials")
 
 default_server_port = 8080

src/python/requirements.txt

@@ -11,4 +11,4 @@ typing_extensions>=4.3.0,<=4.4.0
 Pillow<=9.4.0
 packaging<=23.0
 pymongo<=4.3.3
-aqueduct-sdk==0.2.0
+aqueduct-sdk==0.2.1

src/python/setup.py

@@ -10,7 +10,7 @@
 
 setup(
     name="aqueduct-ml",
-    version="0.2.0",
+    version="0.2.1",
     install_requires=install_requires,
     scripts=["bin/aqueduct"],
     packages=find_packages(),

src/ui/app/package.json

@@ -1,15 +1,15 @@
 {
   "name": "@aqueducthq/ui",
   "author": "Aqueduct, Inc. <[email protected]>",
-  "version": "0.2.0",
+  "version": "0.2.1",
   "scripts": {
     "start": "parcel --no-cache index.html",
     "build": "parcel build --public-url /dist --dist-dir dist/default index.html",
     "lint": "eslint '*/**/*.{js,ts,tsx}' --format table",
     "lint:fix": "eslint '*/**/*.{js,ts,tsx}' --format table --fix"
   },
   "dependencies": {
-    "@aqueducthq/common": "0.2.0",
+    "@aqueducthq/common": "0.2.1",
     "@emotion/react": "^11.10.5",
     "@emotion/styled": "^11.10.5",
     "@fortawesome/fontawesome-svg-core": "^6.2.1",

src/ui/common/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@aqueducthq/common",
   "author": "Aqueduct <[email protected]>",
-  "version": "0.2.0",
+  "version": "0.2.1",
   "main": "dist/index.js",
   "types": "dist/index.d.ts",
   "alias": {