unit_test_results.txt

(NLPtest) C:\Users\ssen\Documents\syenah\nlp-microservice-trojkn>pytest
=================================================== test session starts ====================================================
platform win32 -- Python 3.12.5, pytest-8.3.2, pluggy-1.5.0
rootdir: C:\Users\ssen\Documents\syenah\nlp-microservice-trojkn
plugins: anyio-4.4.0
collected 4 items

test_main.py .F..                                                                                                     [100%]

========================================================= FAILURES =========================================================
__________________________________________ test_summarize_article_invalid_payload __________________________________________

    def test_summarize_article_invalid_payload():
        # Define an invalid request payload
        invalid_payload = {
            "uri": "test-uri",
            "title": "test-title",
            "body": "",  # Invalid because body should not be empty
            "publication_datetime": "2024-08-15T14:01:03+00:00",
            "lang": "en",
            "url": "http://example.com",
            "source": {
                "domain": "example.com",
                "location": {
                    "country": "TestCountry",
                    "state": "TestState",
                    "city": "TestCity",
                    "coordinates": {
                        "lat": 0.0,
                        "lon": 0.0
                    }
                }
            }
        }

        # Send a POST request to the /summarize_article endpoint
        response = client.post("/summarize_article", json=invalid_payload)

        # Assert the status code and response
>       assert response.status_code == 422  # Unprocessable Entity
E       assert 200 == 422
E        +  where 200 = <Response [200 OK]>.status_code

test_main.py:69: AssertionError
--------------------------------------------------- Captured stderr call ---------------------------------------------------
Your max_length is set to 130, but your input_length is only 3. Since this is a summarization task, where outputs shorter than the input are typically wanted, you might consider decreasing max_length manually, e.g. summarizer('...', max_length=1)
===================================================== warnings summary =====================================================
<frozen importlib._bootstrap>:488
  <frozen importlib._bootstrap>:488: DeprecationWarning: Type google._upb._message.MessageMapContainer uses PyType_Spec with a metaclass that has custom tp_new. This is deprecated and will no longer be allowed in Python 3.14.

<frozen importlib._bootstrap>:488
  <frozen importlib._bootstrap>:488: DeprecationWarning: Type google._upb._message.ScalarMapContainer uses PyType_Spec with a metaclass that has custom tp_new. This is deprecated and will no longer be allowed in Python 3.14.

NLPtest\Lib\site-packages\transformers\tokenization_utils_base.py:1601
  C:\Users\ssen\Documents\syenah\nlp-microservice-trojkn\NLPtest\Lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
    warnings.warn(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================================================= short test summary info ==================================================
FAILED test_main.py::test_summarize_article_invalid_payload - assert 200 == 422
=================================== 1 failed, 3 passed, 3 warnings in 208.85s (0:03:28) =