data = {
        "start_datetime": "2018-12-22T14:00:00+00:00",
        "end_datetime": "2018-12-24T15:00:00+00:00",
        "repeat_at": "15:30:00",
        "process_after": 300,
    }
    expected_response = data.copy()
    expected_response.update(
        {
            "start_process": "2018-12-22T14:05:00+00:00",
            "duration": 176_100,
            "item_id": item_id,
        }
    )

   <span style="background-color:#007166"><font color="#D3D7CF"> server </font></span>  Documentation at <font color="#729FCF"><u style="text-decoration-style:solid">http://0.0.0.0:8000/docs</u></font>

             Logs:

    model = ModelWithCustomEncoder(dt_field=datetime(2019, 1, 1, 8))
    assert jsonable_encoder(model) == {"dt_field": "2019-01-01T08:00:00+00:00"}
    subclass_model = ModelWithCustomEncoderSubclass(dt_field=datetime(2019, 1, 1, 8))
    assert jsonable_encoder(subclass_model) == {"dt_field": "2019-01-01T08:00:00+00:00"}


def test_json_encoder_error_with_pydanticv1():
    with warnings.catch_warnings():

   <span style="background-color:#007166"><font color="#D3D7CF"> server </font></span>  Documentation at <font color="#729FCF"><u style="text-decoration-style:solid">http://0.0.0.0:8000/docs</u></font>

             Logs:

   <span style="background-color:#007166"><font color="#D3D7CF"> server </font></span>  Documentation at <font color="#729FCF"><u style="text-decoration-style:solid">http://0.0.0.0:8000/docs</u></font>

             Logs:

    def get_model():
        return model

    client = TestClient(app)
    with client:
        response = client.get("/model")

labels.facet_contentLength_10kto100k=content_length:[10000 TO 99999]\t\
labels.facet_contentLength_100kto500k=content_length:[100000 TO 499999]\t\
labels.facet_contentLength_500kto1m=content_length:[500000 TO 999999]\t\
labels.facet_contentLength_1m=content_length:[1000000 TO *]\n\
labels.facet_filetype_title:\
labels.facet_filetype_html=filetype:html\t\
labels.facet_filetype_word=filetype:word\t\