superset2/tests/unit_tests/datasets/api_tests.py

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from typing import Any
from unittest.mock import MagicMock, patch

from sqlalchemy.orm.session import Session

from superset import db


def test_put_invalid_dataset(
    session: Session,
    client: Any,
    full_api_access: None,
) -> None:
    """
    Test invalid payloads.
    """
    from superset.connectors.sqla.models import SqlaTable
    from superset.models.core import Database

    SqlaTable.metadata.create_all(db.session.get_bind())

    database = Database(
        database_name="my_db",
        sqlalchemy_uri="sqlite://",
    )
    dataset = SqlaTable(
        table_name="test_put_invalid_dataset",
        database=database,
    )
    db.session.add(dataset)
    db.session.flush()

    response = client.put(
        "/api/v1/dataset/1",
        json={"invalid": "payload"},
    )
    assert response.status_code == 422
    assert response.json == {
        "errors": [
            {
                "message": "The schema of the submitted payload is invalid.",
                "error_type": "MARSHMALLOW_ERROR",
                "level": "error",
                "extra": {
                    "messages": {"invalid": ["Unknown field."]},
                    "payload": {"invalid": "payload"},
                    "issue_codes": [
                        {
                            "code": 1040,
                            "message": (
                                "Issue 1040 - The submitted payload failed validation."
                            ),
                        }
                    ],
                },
            }
        ]
    }


def test_get_dataset_include_rendered_sql_passes_table_to_template_processor(
    session: Session,
    client: Any,
    full_api_access: None,
) -> None:
    """
    Dataset API: Test that include_rendered_sql passes the table
    to get_template_processor.

    Regression test for the bug where get_template_processor was called without
    the `table` argument, leaving self._schema as None in processors like
    PrestoTemplateProcessor and causing NPEs when templates reference partition
    functions without an explicit schema.
    """
    from superset.connectors.sqla.models import SqlaTable
    from superset.models.core import Database

    SqlaTable.metadata.create_all(db.session.get_bind())

    database = Database(
        database_name="my_db",
        sqlalchemy_uri="sqlite://",
    )
    dataset = SqlaTable(
        table_name="test_render_sql_table",
        schema="my_schema",
        database=database,
        sql="SELECT 1",
    )
    db.session.add(dataset)
    db.session.flush()

    mock_processor = MagicMock()
    mock_processor.process_template.return_value = "SELECT 1"

    with patch(
        "superset.datasets.api.get_template_processor",
        return_value=mock_processor,
    ) as mock_get_processor:
        response = client.get(
            f"/api/v1/dataset/{dataset.id}?include_rendered_sql=true",
        )

    assert response.status_code == 200
    mock_get_processor.assert_called_once_with(database=database, table=dataset)


def test_get_dataset_include_rendered_sql_handles_undefined_error(
    session: Session,
    client: Any,
    full_api_access: None,
) -> None:
    """
    Dataset API: Test that include_rendered_sql returns a typed 422 instead
    of an unhandled 500 when the template processor raises a raw
    ``jinja2.exceptions.UndefinedError``.

    Regression test for the bug where an undefined variable accessed via
    attribute/subscript (e.g. ``{{ foo.bar }}``) raises ``UndefinedError``
    from ``process_template``, which is not a subclass of
    ``TemplateSyntaxError`` and so escaped ``render_dataset_fields``'s
    exception handling unhandled.
    """
    from jinja2.exceptions import UndefinedError

    from superset.connectors.sqla.models import SqlaTable
    from superset.models.core import Database

    SqlaTable.metadata.create_all(db.session.get_bind())

    database = Database(
        database_name="my_db",
        sqlalchemy_uri="sqlite://",
    )
    dataset = SqlaTable(
        table_name="test_render_sql_undefined_table",
        schema="my_schema",
        database=database,
        sql="SELECT 1",
    )
    db.session.add(dataset)
    db.session.flush()

    mock_processor = MagicMock()
    mock_processor.process_template.side_effect = UndefinedError("'foo' is undefined")

    with patch(
        "superset.datasets.api.get_template_processor",
        return_value=mock_processor,
    ):
        response = client.get(
            f"/api/v1/dataset/{dataset.id}?include_rendered_sql=true",
        )

    assert response.status_code == 422
    assert "Unable to render expression from dataset" in response.json["message"]


def test_handle_filters_args_returns_request_scoped_filters(
    session: Session,
    client: Any,
    full_api_access: None,
) -> None:
    """
    ``_handle_filters_args`` must return a fresh ``Filters`` instance per
    call so concurrent requests don't share filter state.

    Regression test for #33828: under concurrent traffic the FAB default
    implementation mutates ``self._filters`` (a single shared instance),
    causing filters from one request to leak into another.

    The fix lives on ``BaseSupersetModelRestApi`` so every superset REST
    API subclass (datasets, charts, dashboards, saved queries, etc.)
    inherits the request-scoped behavior. This test exercises it via
    ``DatasetRestApi`` as a concrete subclass.
    """
    from flask_appbuilder.const import API_FILTERS_RIS_KEY

    from superset.datasets.api import DatasetRestApi

    api = DatasetRestApi()
    api.datamodel = MagicMock()
    api.search_columns = ["table_name"]
    api.search_filters = {}
    api._base_filters = MagicMock()  # noqa: SLF001

    # Each call should construct a fresh Filters instance via datamodel.get_filters
    rison_args = {
        API_FILTERS_RIS_KEY: [{"col": "table_name", "opr": "eq", "value": "a"}],
    }
    api._handle_filters_args(rison_args)  # noqa: SLF001
    api._handle_filters_args(rison_args)  # noqa: SLF001

    assert api.datamodel.get_filters.call_count == 2
    # Returned object must be the joined-filters result of the *fresh* Filters,
    # not the shared self._filters attribute.
    fresh_filters = api.datamodel.get_filters.return_value
    assert fresh_filters.rest_add_filters.call_count == 2
    assert fresh_filters.get_joined_filters.call_count == 2


def test_post_dataset_with_invalid_sql_returns_actionable_422(
    session: Session,
    client: Any,
    full_api_access: None,
) -> None:
    """Saving a dataset over unrunnable SQL must explain what is wrong.

    With blanket database access ``validate()`` never parses the SQL, so
    ``run()``'s column introspection is the first thing to reject it. That
    used to surface as a bare 500 ``{"message": "Fatal error"}``.
    """
    from superset.connectors.sqla.models import SqlaTable
    from superset.models.core import Database

    SqlaTable.metadata.create_all(db.session.get_bind())

    database = Database(database_name="invalid_sql_db", sqlalchemy_uri="sqlite://")
    db.session.add(database)
    db.session.flush()

    response = client.post(
        "/api/v1/dataset/",
        json={
            "database": database.id,
            "schema": "main",
            "table_name": "dataset wrong",
            "sql": "SELECT ...",
        },
    )

    assert response.status_code == 422
    message = response.json["message"]
    assert "Fatal error" not in str(message)
    # Not the parser's exact wording -- that would break on a sqlglot bump.
    assert message["sql"][0].startswith("Invalid SQL")

    # The failed create must not leave a half-built dataset behind.
    assert (
        db.session.query(SqlaTable).filter_by(table_name="dataset wrong").one_or_none()
        is None
    )