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# pylint: disable=unused-argument, import-outside-toplevel, protected-access

from flask.ctx import AppContext
from pybigquery.sqlalchemy_bigquery import BigQueryDialect
from pytest_mock import MockFixture
from sqlalchemy import select
from sqlalchemy.sql import sqltypes


def test_get_fields(app_context: AppContext) -> None:
    """
    Test the custom ``_get_fields`` method.

    The method adds custom labels (aliases) to the columns to prevent
    collision when referencing record fields. Eg, if we had these two
    columns:

        name STRING
        project STRUCT<name STRING>

    One could write this query:

        SELECT
            `name`,
            `project`.`name`
        FROM
            the_table

    But then both columns would get aliased as "name".

    The custom method will replace the fields so that the final query
    looks like this:

        SELECT
            `name` AS `name`,
            `project`.`name` AS project__name
        FROM
            the_table

    """
    from superset.db_engine_specs.bigquery import BigQueryEngineSpec

    columns = [{"name": "limit"}, {"name": "name"}, {"name": "project.name"}]
    fields = BigQueryEngineSpec._get_fields(columns)

    query = select(fields)
    assert str(query.compile(dialect=BigQueryDialect())) == (
        "SELECT `limit` AS `limit`, `name` AS `name`, "
        "`project`.`name` AS `project__name`"
    )


def test_select_star(mocker: MockFixture, app_context: AppContext) -> None:
    """
    Test the ``select_star`` method.

    The method removes pseudo-columns from structures inside arrays. While these
    pseudo-columns show up as "columns" for metadata reasons, we can't select them
    in the query, as opposed to fields from non-array structures.
    """
    from superset.db_engine_specs.bigquery import BigQueryEngineSpec

    cols = [
        {
            "name": "trailer",
            "type": sqltypes.ARRAY(sqltypes.JSON()),
            "nullable": True,
            "comment": None,
            "default": None,
            "precision": None,
            "scale": None,
            "max_length": None,
        },
        {
            "name": "trailer.key",
            "type": sqltypes.String(),
            "nullable": True,
            "comment": None,
            "default": None,
            "precision": None,
            "scale": None,
            "max_length": None,
        },
        {
            "name": "trailer.value",
            "type": sqltypes.String(),
            "nullable": True,
            "comment": None,
            "default": None,
            "precision": None,
            "scale": None,
            "max_length": None,
        },
        {
            "name": "trailer.email",
            "type": sqltypes.String(),
            "nullable": True,
            "comment": None,
            "default": None,
            "precision": None,
            "scale": None,
            "max_length": None,
        },
    ]

    # mock the database so we can compile the query
    database = mocker.MagicMock()
    database.compile_sqla_query = lambda query: str(
        query.compile(dialect=BigQueryDialect())
    )

    engine = mocker.MagicMock()
    engine.dialect = BigQueryDialect()

    sql = BigQueryEngineSpec.select_star(
        database=database,
        table_name="my_table",
        engine=engine,
        schema=None,
        limit=100,
        show_cols=True,
        indent=True,
        latest_partition=False,
        cols=cols,
    )
    assert (
        sql
        == """SELECT `trailer` AS `trailer`
FROM `my_table`
LIMIT :param_1"""
    )