Upload test_app.py

test_app.py

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+from fastapi.testclient import TestClient
+from app import app
+from app import TextInput
+from fastapi.encoders import jsonable_encoder
+
+client = TestClient(app)
+
+# Test the welcome endpoint
+def test_welcome():
+    # Test the welcome endpoint
+    response = client.get("/")
+    assert response.status_code == 200
+    assert response.json() == "Welcome to our Text Classification API"
+
+# Test the sentiment analysis endpoint for positive sentiment
+def test_positive_sentiment():
+    with client:
+        # Define the request payload 
+        # Initialize payload as a TextInput object
+        payload = TextInput(text="I love this product! It's amazing!")
+
+        # Convert TextInput object to JSON-serializable dictionary
+        payload_dict = jsonable_encoder(payload)
+        
+        # Send a POST request to the sentiment analysis endpoint
+        response = client.post("/analyze/{text}", json=payload_dict)
+
+        # Assert that the response status code is 200 OK
+        assert response.status_code == 200
+        
+        # Assert that the sentiment returned is positive
+        assert response.json()[0]['label'] == "positive"
+
+# Test the sentiment analysis endpoint for negative sentiment
+def test_negative_sentiment():
+    with client:
+        # Define the request payload 
+        # Initialize payload as a TextInput object
+        payload = TextInput(text="I'm really disappointed with this service. It's terrible.")
+
+        # Convert TextInput object to JSON-serializable dictionary
+        payload_dict = jsonable_encoder(payload)
+        
+        # Send a POST request to the sentiment analysis endpoint
+        response = client.post("/analyze/{text}", json=payload_dict)
+
+        # Assert that the response status code is 200 OK
+        assert response.status_code == 200
+        
+        # Assert that the sentiment returned is positive
+        assert response.json()[0]['label'] == "negative"
+
+# Test the sentiment analysis endpoint for neutral sentiment
+def test_neutral_sentiment():
+    with client:
+        # Define the request payload 
+        # Initialize payload as a TextInput object
+        payload = TextInput(text="This is a neutral statement.")
+
+        # Convert TextInput object to JSON-serializable dictionary
+        payload_dict = jsonable_encoder(payload)
+        
+        # Send a POST request to the sentiment analysis endpoint
+        response = client.post("/analyze/{text}", json=payload_dict)
+
+        # Assert that the response status code is 200 OK
+        assert response.status_code == 200
+        
+        # Assert that the sentiment returned is positive
+        assert response.json()[0]['label'] == "neutral"