Sync downstream changes to upstream.

These are changes that should have been added upstream before being sent
downstream. Changes include hard coding python version in sdk setup,
adding artifact mgr python setup, and requirement files.

Signed-off-by: Humair Khan <[email protected]>

Author: HumairAK

backend/artifact_manager/requirements-build.in

@@ -7,4 +7,4 @@ setuptools>=40.8.0
 setuptools_scm
 tomli>=1.0.0
 typing-extensions
-wheel
+wheel

backend/artifact_manager/requirements-build.txt

@@ -33,4 +33,4 @@ wheel==0.37.1
 setuptools==65.5.0
     # via
     #   -r requirements-build.in
-    #   setuptools-scm
+    #   setuptools-scm

backend/artifact_manager/setup.py

@@ -0,0 +1,12 @@
+from setuptools import setup, find_packages
+
+setup(
+    name='modh/data-science-pipelines-artifact-manager',
+    version='1.0.0',
+    url='https://github.com/red-hat-data-services/data-science-pipelines.git',
+    author='Red Hat Openshift Data Science',
+    author_email='[email protected]',
+    description='Artifact Manager for Data Science Pipelines on RHODS',
+    packages=find_packages(),
+    install_requires=['awscli >= 1.25.78']
+)

backend/src/apiserver/visualization/requirements.txt

@@ -74,8 +74,7 @@ jsonschema==3.2.0         # via nbformat
 jupyter-client==5.3.5     # via -r -, ipykernel, notebook
 jupyter-core==4.9.1       # via jupyter-client, nbconvert, nbformat, notebook
 jupyterlab-widgets==1.0.2 # via ipywidgets
-keras==2.6.0              # via tensorflow
-keras-preprocessing==1.1.2  # via tensorflow
+keras==2.6.0
 libcst==0.3.23            # via google-cloud-bigquery-storage
 markdown==3.3.6           # via tensorboard
 markupsafe==2.0.1         # via jinja2
@@ -122,15 +121,6 @@ scikit_learn==0.21.2      # via -r -
 scipy==1.5.4              # via scikit-learn, tensorflow-model-analysis
 send2trash==1.8.0         # via notebook
 six==1.15.0               # via absl-py, astunparse, bleach, bokeh, fasteners, google-api-core, google-api-python-client, google-apitools, google-auth, google-auth-httplib2, google-cloud-core, google-pasta, google-resumable-media, grpcio, hdfs, jsonschema, keras-preprocessing, oauth2client, python-dateutil, tensorflow, tensorflow-data-validation, tensorflow-model-analysis, traitlets
-tensorboard-data-server==0.6.1  # via tensorboard
-tensorboard-plugin-wit==1.8.0  # via tensorboard
-tensorboard==2.7.0        # via tensorflow
-tensorflow-data-validation==1.2.0  # via -r -
-tensorflow-estimator==2.5.0  # via tensorflow
-tensorflow-metadata==1.2.0  # via -r -, tensorflow-data-validation, tensorflow-model-analysis, tfx-bsl
-tensorflow-model-analysis==0.33.0  # via -r -
-tensorflow-serving-api==2.5.1  # via -r -, tfx-bsl
-tensorflow==2.5.1         # via -r -, tensorflow-data-validation, tensorflow-model-analysis, tensorflow-serving-api, tfx-bsl
 termcolor==1.1.0          # via tensorflow
 terminado==0.12.1         # via notebook
 testpath==0.5.0           # via nbconvert

sdk/python/setup.py

@@ -172,7 +172,7 @@ def get_long_description() -> str:
 
 setup(
     name=NAME,
-    version=find_version("kfp_tekton", "__init__.py"),
+    version='1.3.1',
     description=DESCRIPTION,
     long_description=get_long_description(),
     long_description_content_type="text/markdown",