Testing Azure Function

.github/workflows/main_paulxieptest.yml

@@ -1,75 +1,40 @@
-# Docs for the Azure Web Apps Deploy action: https://github.com/azure/functions-action
-# More GitHub Actions for Azure: https://github.com/Azure/actions
-# More info on Python, GitHub Actions, and Azure Functions: https://aka.ms/python-webapps-actions
-
-name: Build and deploy Python project to Azure Function App - paulxieptest
+name: Deploy Python project to Azure Function App
 
 on:
-  push:
-    branches:
-      - main
-  workflow_dispatch:
+  [push]
 
 env:
-  AZURE_FUNCTIONAPP_PACKAGE_PATH: '.' # set this to the path to your web app project, defaults to the repository root
-  PYTHON_VERSION: '3.11' # set this to the python version to use (supports 3.6, 3.7, 3.8)
+  AZURE_FUNCTIONAPP_NAME: 'paulxieptest'   # set this to your function app name on Azure
+  AZURE_FUNCTIONAPP_PACKAGE_PATH: '.'       # set this to the path to your function app project, defaults to the repository root
+  PYTHON_VERSION: '3.8'                     # set this to the python version to use (e.g. '3.6', '3.7', '3.8')
 
 jobs:
-  build:
+  build-and-deploy:
     runs-on: ubuntu-latest
+    environment: dev
     steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Setup Python version
-        uses: actions/setup-python@v1
-        with:
-          python-version: ${{ env.PYTHON_VERSION }}
-
-      - name: Create and start virtual environment
-        run: |
-          python -m venv venv
-          source venv/bin/activate
-
-      - name: Install dependencies
-        run: pip install -r requirements.txt
-
-      # Optional: Add step to run tests here
-
-      - name: Zip artifact for deployment
-        run: zip release.zip ./* -r
-
-      - name: Upload artifact for deployment job
-        uses: actions/upload-artifact@v3
-        with:
-          name: python-app
-          path: |
-            release.zip
-            !venv/
-
-  deploy:
-    runs-on: ubuntu-latest
-    needs: build
-    environment:
-      name: 'Production'
-      url: ${{ steps.deploy-to-function.outputs.webapp-url }}
-
-    steps:
-      - name: Download artifact from build job
-        uses: actions/download-artifact@v3
-        with:
-          name: python-app
-
-      - name: Unzip artifact for deployment
-        run: unzip release.zip
-
-      - name: 'Deploy to Azure Functions'
-        uses: Azure/functions-action@v1
-        id: deploy-to-function
-        with:
-          app-name: 'paulxieptest'
-          slot-name: 'Production'
-          package: ${{ env.AZURE_FUNCTIONAPP_PACKAGE_PATH }}
-          publish-profile: ${{ secrets.AZUREAPPSERVICE_PUBLISHPROFILE_912DA8427DE14045B5A68CFFAD84F71D }}
-          scm-do-build-during-deployment: true
-          enable-oryx-build: true
+    - name: 'Checkout GitHub Action'
+      uses: actions/checkout@v3
+
+    - name: Setup Python ${{ env.PYTHON_VERSION }} Environment
+      uses: actions/setup-python@v4
+      with:
+        python-version: ${{ env.PYTHON_VERSION }}
+
+    - name: 'Resolve Project Dependencies Using Pip'
+      shell: bash
+      run: |
+        pushd './${{ env.AZURE_FUNCTIONAPP_PACKAGE_PATH }}'
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt --target=".python_packages/lib/site-packages"
+        popd
+
+    - name: 'Run Azure Functions Action'
+      uses: Azure/functions-action@v1
+      id: fa
+      with:
+        app-name: ${{ env.AZURE_FUNCTIONAPP_NAME }}
+        package: ${{ env.AZURE_FUNCTIONAPP_PACKAGE_PATH }}
+        publish-profile: ${{ secrets.AZURE_FUNCTIONAPP_PUBLISH_PROFILE }}
+        scm-do-build-during-deployment: true
+        enable-oryx-build: true

function_app.py → azure/function_app.py

@@ -12,16 +12,16 @@
 
 flask_app = Flask(__name__)
 
-with open('sentiment_analysis/models/logistic_regression.pkl', 'rb') as f:
+with open('models/logistic_regression.pkl', 'rb') as f:
     logistic_regression_model = pickle.load(f)
-with open('sentiment_analysis/models/naive_bayes.pkl', 'rb') as f:
+with open('models/naive_bayes.pkl', 'rb') as f:
     naive_bayes_model = pickle.load(f)
-with open('sentiment_analysis/models/sklearn_vectorizer.pkl', 'rb') as f:
+with open('models/sklearn_vectorizer.pkl', 'rb') as f:
     sklearn_vectorizer = pickle.load(f)
-lstm_model = tf.keras.models.load_model('sentiment_analysis/models/lstm.h5', compile=False)
-lstm_vectorizer = tf.keras.models.load_model('sentiment_analysis/models/tf_vectorizer')
-transformers_vectorizer = tf.keras.models.load_model('sentiment_analysis/models/tf_vectorizer_t')
-transformers_model = tf.keras.models.load_model('sentiment_analysis/models/transformers', compile=False)
+lstm_model = tf.keras.models.load_model('models/lstm.h5', compile=False)
+lstm_vectorizer = tf.keras.models.load_model('models/tf_vectorizer')
+transformers_vectorizer = tf.keras.models.load_model('models/tf_vectorizer_t')
+transformers_model = tf.keras.models.load_model('models/transformers', compile=False)
 
 batch_size = 32