superset/databases/dao.py

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# to you under the Apache License, Version 2.0 (the
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#
#   http://www.apache.org/licenses/LICENSE-2.0
#
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import logging
from typing import Any, Dict, Optional

from superset.dao.base import BaseDAO
from superset.databases.filters import DatabaseFilter
from superset.extensions import db
from superset.models.core import Database
from superset.models.dashboard import Dashboard
from superset.models.slice import Slice

logger = logging.getLogger(__name__)


class DatabaseDAO(BaseDAO):
    model_cls = Database
    base_filter = DatabaseFilter

    @staticmethod
    def validate_uniqueness(database_name: str) -> bool:
        database_query = db.session.query(Database).filter(
            Database.database_name == database_name
        )
        return not db.session.query(database_query.exists()).scalar()

    @staticmethod
    def validate_update_uniqueness(database_id: int, database_name: str) -> bool:
        database_query = db.session.query(Database).filter(
            Database.database_name == database_name, Database.id != database_id,
        )
        return not db.session.query(database_query.exists()).scalar()

    @staticmethod
    def get_database_by_name(database_name: str) -> Optional[Database]:
        return (
            db.session.query(Database)
            .filter(Database.database_name == database_name)
            .one_or_none()
        )

    @staticmethod
    def build_db_for_connection_test(
        server_cert: str, extra: str, impersonate_user: bool, encrypted_extra: str
    ) -> Optional[Database]:
        return Database(
            server_cert=server_cert,
            extra=extra,
            impersonate_user=impersonate_user,
            encrypted_extra=encrypted_extra,
        )

    @classmethod
    def get_related_objects(cls, database_id: int) -> Dict[str, Any]:
        datasets = cls.find_by_id(database_id).tables
        dataset_ids = [dataset.id for dataset in datasets]

        charts = (
            db.session.query(Slice)
            .filter(
                Slice.datasource_id.in_(dataset_ids), Slice.datasource_type == "table"
            )
            .all()
        )
        chart_ids = [chart.id for chart in charts]

        dashboards = (
            (
                db.session.query(Dashboard)
                .join(Dashboard.slices)
                .filter(Slice.id.in_(chart_ids))
            )
            .distinct()
            .all()
        )
        return dict(charts=charts, dashboards=dashboards)