Noveramaaz/Text_classification_API_Docker

1from fastapi.testclient import TestClient2from main import app3from main import TextInput4from fastapi.encoders import jsonable_encoder5 6client = TestClient(app)7 8# Test the welcome endpoint9def test_welcome():10    # Test the welcome endpoint11    response = client.get("/")12    assert response.status_code == 20013    assert response.json() == "Welcome to our Text Classification API"14 15# Test the sentiment analysis endpoint for positive sentiment16def test_positive_sentiment():17    with client:18        # Define the request payload 19        # Initialize payload as a TextInput object20        payload = TextInput(text="I love this product! It's amazing!")21 22        # Convert TextInput object to JSON-serializable dictionary23        payload_dict = jsonable_encoder(payload)24        25        # Send a POST request to the sentiment analysis endpoint26        response = client.post("/analyze/{text}", json=payload_dict)27 28        # Assert that the response status code is 200 OK29        assert response.status_code == 20030        31        # Assert that the sentiment returned is positive32        assert response.json()[0]['label'] == "positive"33 34# Test the sentiment analysis endpoint for negative sentiment35def test_negative_sentiment():36    with client:37        # Define the request payload 38        # Initialize payload as a TextInput object39        payload = TextInput(text="I'm really disappointed with this service. It's terrible.")40 41        # Convert TextInput object to JSON-serializable dictionary42        payload_dict = jsonable_encoder(payload)43        44        # Send a POST request to the sentiment analysis endpoint45        response = client.post("/analyze/{text}", json=payload_dict)46 47        # Assert that the response status code is 200 OK48        assert response.status_code == 20049        50        # Assert that the sentiment returned is positive51        assert response.json()[0]['label'] == "negative"52 53# Test the sentiment analysis endpoint for neutral sentiment54def test_neutral_sentiment():55    with client:56        # Define the request payload 57        # Initialize payload as a TextInput object58        payload = TextInput(text="This is a neutral statement.")59 60        # Convert TextInput object to JSON-serializable dictionary61        payload_dict = jsonable_encoder(payload)62        63        # Send a POST request to the sentiment analysis endpoint64        response = client.post("/analyze/{text}", json=payload_dict)65 66        # Assert that the response status code is 200 OK67        assert response.status_code == 20068        69        # Assert that the sentiment returned is positive70        assert response.json()[0]['label'] == "neutral"