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# to you under the Apache License, Version 2.0 (the
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#
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#
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# KIND, either express or implied.  See the License for the
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import json
import logging
from typing import Any, Callable, Optional

import yaml
from flask_appbuilder import Model
from sqlalchemy.orm import Session
from sqlalchemy.orm.session import make_transient

from superset import db
from superset.commands.base import BaseCommand
from superset.commands.importers.exceptions import IncorrectVersionError
from superset.connectors.base.models import BaseColumn, BaseDatasource, BaseMetric
from superset.connectors.sqla.models import SqlaTable, SqlMetric, TableColumn
from superset.databases.commands.exceptions import DatabaseNotFoundError
from superset.datasets.commands.exceptions import DatasetInvalidError
from superset.models.core import Database
from superset.utils.dict_import_export import DATABASES_KEY

logger = logging.getLogger(__name__)


def lookup_sqla_table(table: SqlaTable) -> Optional[SqlaTable]:
    return (
        db.session.query(SqlaTable)
        .join(Database)
        .filter(
            SqlaTable.table_name == table.table_name,
            SqlaTable.schema == table.schema,
            Database.id == table.database_id,
        )
        .first()
    )


def lookup_sqla_database(table: SqlaTable) -> Optional[Database]:
    database = (
        db.session.query(Database)
        .filter_by(database_name=table.params_dict["database_name"])
        .one_or_none()
    )
    if database is None:
        raise DatabaseNotFoundError
    return database


def import_dataset(
    i_datasource: BaseDatasource,
    database_id: Optional[int] = None,
    import_time: Optional[int] = None,
) -> int:
    """Imports the datasource from the object to the database.

    Metrics and columns and datasource will be overridden if exists.
    This function can be used to import/export dashboards between multiple
    superset instances. Audit metadata isn't copied over.
    """

    lookup_database: Callable[[BaseDatasource], Optional[Database]]
    lookup_datasource: Callable[[BaseDatasource], Optional[BaseDatasource]]
    if isinstance(i_datasource, SqlaTable):
        lookup_database = lookup_sqla_database
        lookup_datasource = lookup_sqla_table

    else:
        raise DatasetInvalidError

    return import_datasource(
        db.session,
        i_datasource,
        lookup_database,
        lookup_datasource,
        import_time,
        database_id,
    )


def lookup_sqla_metric(session: Session, metric: SqlMetric) -> SqlMetric:
    return (
        session.query(SqlMetric)
        .filter(
            SqlMetric.table_id == metric.table_id,
            SqlMetric.metric_name == metric.metric_name,
        )
        .first()
    )


def import_metric(session: Session, metric: BaseMetric) -> BaseMetric:
    if isinstance(metric, SqlMetric):
        lookup_metric = lookup_sqla_metric
    else:
        raise Exception(f"Invalid metric type: {metric}")
    return import_simple_obj(session, metric, lookup_metric)


def lookup_sqla_column(session: Session, column: TableColumn) -> TableColumn:
    return (
        session.query(TableColumn)
        .filter(
            TableColumn.table_id == column.table_id,
            TableColumn.column_name == column.column_name,
        )
        .first()
    )


def import_column(session: Session, column: BaseColumn) -> BaseColumn:
    if isinstance(column, TableColumn):
        lookup_column = lookup_sqla_column
    else:
        raise Exception(f"Invalid column type: {column}")
    return import_simple_obj(session, column, lookup_column)


def import_datasource(  # pylint: disable=too-many-arguments
    session: Session,
    i_datasource: Model,
    lookup_database: Callable[[Model], Optional[Model]],
    lookup_datasource: Callable[[Model], Optional[Model]],
    import_time: Optional[int] = None,
    database_id: Optional[int] = None,
) -> int:
    """Imports the datasource from the object to the database.

    Metrics and columns and datasource will be overridden if exists.
    This function can be used to import/export datasources between multiple
    superset instances. Audit metadata isn't copies over.
    """
    make_transient(i_datasource)
    logger.info("Started import of the datasource: %s", i_datasource.to_json())

    i_datasource.id = None
    i_datasource.database_id = (
        database_id
        if database_id
        else getattr(lookup_database(i_datasource), "id", None)
    )
    i_datasource.alter_params(import_time=import_time)

    # override the datasource
    datasource = lookup_datasource(i_datasource)

    if datasource:
        datasource.override(i_datasource)
        session.flush()
    else:
        datasource = i_datasource.copy()
        session.add(datasource)
        session.flush()

    for metric in i_datasource.metrics:
        new_m = metric.copy()
        new_m.table_id = datasource.id
        logger.info(
            "Importing metric %s from the datasource: %s",
            new_m.to_json(),
            i_datasource.full_name,
        )
        imported_m = import_metric(session, new_m)
        if imported_m.metric_name not in [m.metric_name for m in datasource.metrics]:
            datasource.metrics.append(imported_m)

    for column in i_datasource.columns:
        new_c = column.copy()
        new_c.table_id = datasource.id
        logger.info(
            "Importing column %s from the datasource: %s",
            new_c.to_json(),
            i_datasource.full_name,
        )
        imported_c = import_column(session, new_c)
        if imported_c.column_name not in [c.column_name for c in datasource.columns]:
            datasource.columns.append(imported_c)
    session.flush()
    return datasource.id


def import_simple_obj(
    session: Session, i_obj: Model, lookup_obj: Callable[[Session, Model], Model]
) -> Model:
    make_transient(i_obj)
    i_obj.id = None
    i_obj.table = None

    # find if the column was already imported
    existing_column = lookup_obj(session, i_obj)
    i_obj.table = None
    if existing_column:
        existing_column.override(i_obj)
        session.flush()
        return existing_column

    session.add(i_obj)
    session.flush()
    return i_obj


def import_from_dict(
    session: Session, data: dict[str, Any], sync: Optional[list[str]] = None
) -> None:
    """Imports databases from dictionary"""
    if not sync:
        sync = []
    if isinstance(data, dict):
        logger.info("Importing %d %s", len(data.get(DATABASES_KEY, [])), DATABASES_KEY)
        for database in data.get(DATABASES_KEY, []):
            Database.import_from_dict(session, database, sync=sync)
        session.commit()
    else:
        logger.info("Supplied object is not a dictionary.")


class ImportDatasetsCommand(BaseCommand):
    """
    Import datasources in YAML format.

    This is the original unversioned format used to export and import datasources
    in Superset.
    """

    # pylint: disable=unused-argument
    def __init__(
        self,
        contents: dict[str, str],
        *args: Any,
        **kwargs: Any,
    ):
        self.contents = contents
        self._configs: dict[str, Any] = {}

        self.sync = []
        if kwargs.get("sync_columns"):
            self.sync.append("columns")
        if kwargs.get("sync_metrics"):
            self.sync.append("metrics")

    def run(self) -> None:
        self.validate()

        # TODO (betodealmeida): add rollback in case of error
        for file_name, config in self._configs.items():
            logger.info("Importing dataset from file %s", file_name)
            if isinstance(config, dict):
                import_from_dict(db.session, config, sync=self.sync)
            else:  # list
                for dataset in config:
                    # UI exports don't have the database metadata, so we assume
                    # the DB exists and has the same name
                    params = json.loads(dataset["params"])
                    database = (
                        db.session.query(Database)
                        .filter_by(database_name=params["database_name"])
                        .one()
                    )
                    dataset["database_id"] = database.id
                    SqlaTable.import_from_dict(db.session, dataset, sync=self.sync)

    def validate(self) -> None:
        # ensure all files are YAML
        for file_name, content in self.contents.items():
            try:
                config = yaml.safe_load(content)
            except yaml.parser.ParserError as ex:
                logger.exception("Invalid YAML file")
                raise IncorrectVersionError(
                    f"{file_name} is not a valid YAML file"
                ) from ex

            # CLI export
            if isinstance(config, dict):
                # TODO (betodealmeida): validate with Marshmallow
                if DATABASES_KEY not in config:
                    raise IncorrectVersionError(f"{file_name} has no valid keys")

            # UI export
            elif isinstance(config, list):
                # TODO (betodealmeida): validate with Marshmallow
                pass

            else:
                raise IncorrectVersionError(f"{file_name} is not a valid file")

            self._configs[file_name] = config
