all test webapp

.github/workflows/app-test.yml

@@ -0,0 +1,43 @@
+name: app tests
+
+run-name: ${{ github.actor }} 
+
+on: 
+    push:
+      branches: [main, master]
+    pull_request:
+      branches: [main, master]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    strategy:
+        fail-fast: false
+        matrix:
+          python-version: ["3.11"]
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v2
+
+      - name: Set up Python
+        uses: actions/setup-python@v3
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y portaudio19-dev
+          sudo apt-get install -y ffmpeg
+          python -m pip install --upgrade pip
+          python -m pip install pipenv
+          pipenv shell --fancy --python $(which python)
+          pipenv install -r requirements.txt 
+
+        working-directory: web-app
+
+      - name: Run tests
+        run: |
+          pipenv run pytest --cov=app.py test_app.py
+        working-directory: web-app/app_tests

Pipfile

@@ -22,8 +22,14 @@ requests = "*"
 coverage = "*"
 pytest-flask = "*"
 pytest-cov = "*"
+pytz = "*"
+python-dateutil = "*"
+build = "*"
+gitcommitlogger = "*"
 
 [dev-packages]
+black = "*"
+pylint = "*"
 
 [requires]
 python_version = "3"

web-app/app.py

@@ -7,19 +7,27 @@
 from pymongo import MongoClient
 import requests
 
+app = Flask(__name__, template_folder="templates")
 
-app = Flask("project4")
+# Connect to MongoDB
+client = MongoClient("mongodb://localhost:27017/")
+db = client["ml_database"]
+collection = db["transcription"]
 
 
-client = MongoClient("mongodb://mongodb:27017/")
-db = client["ml_databse"]
-collection = db["transcription"]
+@app.route("/test_render_template")
+def test_render_template():
+    """
+    Request received for /test_render_template
+    """
+    print("Request received for /test_render_template")
+    return render_template("root.html")
 
 
 @app.route("/")
 def root_page():
     """
-    template to render root page
+    Template to render root page
     """
     return render_template("root.html")
 
@@ -42,27 +50,31 @@ def display_results():
 @app.route("/analyzeData", methods=["POST"])
 def analyze_data():
     """
-    Function to send genreated audio file to the machine learning client
+    Function to send generated audio file to the machine learning client
     """
     try:
         if "audio" not in request.files:
             return jsonify({"status": "error", "message": "No audio file provided"})
 
         audio_file = request.files["audio"]
-        ml_client_url = "http://backend:5001/analyzeAudio"
+        ml_client_url = "http://127.0.0.1:5001/analyzeAudio"
         # Use the converted audio file
         response = requests.post(
             ml_client_url, files={"audio": audio_file}, timeout=100
         )
         print("sent over")
+
+        # pylint: disable=R1705
         if response.status_code == 200:
             result = response.json()
             return jsonify(result)
-        return (
-            jsonify({"error": "Failed to send and process audio. Please try again."}),
-            500,
-        )
-
+        else:
+            return (
+                jsonify(
+                    {"error": "Failed to send and process audio. Please try again."}
+                ),
+                500,
+            )
     except FileNotFoundError as e:
         return jsonify({"status": "error", "message": f"File not found: {str(e)}"})