Add python CI

.github/workflows/python-package-conda.yml

@@ -0,0 +1,53 @@
+# This is copied from the python starter kit for github actions: 
+# https://github.com/actions/starter-workflows/blob/main/ci/python-package.yml
+name: Azure End to End Testing with existing Jars
+
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+on: 
+  pull_request:
+    types:
+        - opened
+        - reopened
+        - synchronize
+        - ready_for_review
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.8", "3.9"]
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v2
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        python -m pip install flake8 pytest
+        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+    - name: Lint with flake8
+      run: |
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+    - name: Install Feathr Package
+      run: |
+        python -m pip install -e ./feathr_project/
+    - name: Test with pytest
+      env:
+        REDIS_PASSWORD: ${{secrets.REDIS_PASSWORD}}
+        AZURE_CLIENT_ID: ${{secrets.AZURE_CLIENT_ID}}
+        AZURE_TENANT_ID: ${{secrets.AZURE_TENANT_ID}}
+        AZURE_CLIENT_SECRET: ${{secrets.AZURE_CLIENT_SECRET}}
+      run: |        
+        cd feathr_project
+        pytest

feathr_project/test/test_azure_e2e.py

@@ -24,7 +24,7 @@ def test_feathr_online_store():
         job_res = client.materialize_features()
         # just assume the job is successful without validating the actual result in Redis. Might need to consolidate
         # this part with the test_feathr_online_store test case
-        client.wait_job_to_finish(timeout_sec=300)
+        client.wait_job_to_finish(timeout_sec=600)
         res = client.online_get_features('nycTaxiDemoFeature', '265', ['f_location_avg_fare', 'f_location_max_fare'])
         # just assme there are values. We don't hard code the values for now for testing
         # the correctness of the feature generation should be garunteed by feathr runtime.
@@ -55,7 +55,7 @@ def test_feathr_get_historical_features():
         client = FeathrClient()
 
         returned_spark_job = client.join_offline_features()
-        res_url = client.get_job_result_uri(block=True, timeout_sec=500)
+        res_url = client.get_job_result_uri(block=True, timeout_sec=600)
         tmp_dir = tempfile.TemporaryDirectory()
         client.feathr_synapse_laucher.download_result(result_path=res_url, local_folder=tmp_dir.name)
         dataframe_list = []