failed on setup with "TypeError: 'gender' is an invalid keyword argument for DBHumanitarianNeeds"
self = <tests.test_main.TestHAPIPipelines object at 0x7ff9b2516900>
configuration = {'hdx_prod_site': {'url': 'https://data.humdata.org'}, 'hdx_demo_site': {'url': 'https://demo.data-humdata-org.ahconu.... markets', 'format': 'csv'}, 'unused_adm1': ['CIV', 'KEN'], 'unused_adm2': ['DOM', 'RUS', 'UGA'], 'adm1_only': ['SLV']}
folder = 'tests/fixtures', themes_to_run = {'humanitarian_needs': None}

    @pytest.fixture(scope="function")
    def pipelines(self, configuration, folder, themes_to_run):
        with ErrorsOnExit() as errors_on_exit:
            with temp_dir(
                "TestHAPIPipelines",
                delete_on_success=True,
                delete_on_failure=False,
            ) as temp_folder:
                db_uri = "postgresql+psycopg://postgres:postgres@localhost:5432/hapitest"
                logger.info(f"Connecting to database {db_uri}")
                with Database(
                    db_uri=db_uri,
                    recreate_schema=True,
                    prepare_fn=prepare_hapi_views,
                ) as database:
                    session = database.get_session()
                    today = parse_date("2023-10-11")
                    Read.create_readers(
                        temp_folder,
                        join(folder, "input"),
                        temp_folder,
                        False,
                        True,
                        today=today,
                    )
                    logger.info("Initialising pipelines")
                    pipelines = Pipelines(
                        configuration,
                        session,
                        today,
                        themes_to_run=themes_to_run,
                        errors_on_exit=errors_on_exit,
                        use_live=False,
                        countries_to_run=configuration["HAPI_countries"],
                    )
                    logger.info("Running pipelines")
                    pipelines.run()
                    logger.info("Writing to database")
>                   pipelines.output()

tests/test_main.py:114: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
src/hapi/pipelines/app/pipelines.py:388: in output
    self.output_humanitarian_needs()
src/hapi/pipelines/app/pipelines.py:266: in output_humanitarian_needs
    humanitarian_needs.populate()
src/hapi/pipelines/database/humanitarian_needs.py:139: in populate
    create_row("Population", "all")
src/hapi/pipelines/database/humanitarian_needs.py:120: in create_row
    humanitarian_needs_row = DBHumanitarianNeeds(
<string>:4: in __init__
    ???
../../../.local/share/hatch/env/virtual/hapi-pipelines/zEFzVURN/hatch-test.py3.12/lib/python3.12/site-packages/sqlalchemy/orm/state.py:571: in _initialize_instance
    with util.safe_reraise():
../../../.local/share/hatch/env/virtual/hapi-pipelines/zEFzVURN/hatch-test.py3.12/lib/python3.12/site-packages/sqlalchemy/util/langhelpers.py:146: in __exit__
    raise exc_value.with_traceback(exc_tb)
../../../.local/share/hatch/env/virtual/hapi-pipelines/zEFzVURN/hatch-test.py3.12/lib/python3.12/site-packages/sqlalchemy/orm/state.py:569: in _initialize_instance
    manager.original_init(*mixed[1:], **kwargs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <hapi_schema.db_humanitarian_needs.DBHumanitarianNeeds object at 0x7ff9b08f7170>
kwargs = {'admin2_ref': 5694, 'age_range': 'ALL', 'disabled_marker': 'all', 'gender': 'all', ...}
cls_ = <class 'hapi_schema.db_humanitarian_needs.DBHumanitarianNeeds'>
k = 'gender'

    def _declarative_constructor(self: Any, **kwargs: Any) -> None:
        """A simple constructor that allows initialization from kwargs.
    
        Sets attributes on the constructed instance using the names and
        values in ``kwargs``.
    
        Only keys that are present as
        attributes of the instance's class are allowed. These could be,
        for example, any mapped columns or relationships.
        """
        cls_ = type(self)
        for k in kwargs:
            if not hasattr(cls_, k):
>               raise TypeError(
                    "%r is an invalid keyword argument for %s" % (k, cls_.__name__)
                )
E               TypeError: 'gender' is an invalid keyword argument for DBHumanitarianNeeds

../../../.local/share/hatch/env/virtual/hapi-pipelines/zEFzVURN/hatch-test.py3.12/lib/python3.12/site-packages/sqlalchemy/orm/decl_base.py:2177: TypeError