superset/commands/dataset/duplicate.py
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# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
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import logging
from functools import partial
from typing import Any
from flask_appbuilder.models.sqla import Model
from flask_babel import gettext as __
from marshmallow import ValidationError
from superset.commands.base import BaseCommand, CreateMixin
from superset.commands.dataset.exceptions import (
DatasetDuplicateFailedError,
DatasetExistsValidationError,
DatasetInvalidError,
DatasetNotFoundError,
)
from superset.commands.exceptions import DatasourceTypeInvalidError
from superset.connectors.sqla.models import SqlaTable, SqlMetric, TableColumn
from superset.daos.dataset import DatasetDAO
from superset.errors import ErrorLevel, SupersetError, SupersetErrorType
from superset.exceptions import SupersetErrorException
from superset.extensions import db
from superset.models.core import Database
from superset.sql_parse import ParsedQuery, Table
from superset.utils.decorators import on_error, transaction
logger = logging.getLogger(__name__)
class DuplicateDatasetCommand(CreateMixin, BaseCommand):
def __init__(self, data: dict[str, Any]) -> None:
self._base_model: SqlaTable = SqlaTable()
self._properties = data.copy()
@transaction(on_error=partial(on_error, reraise=DatasetDuplicateFailedError))
def run(self) -> Model:
self.validate()
database_id = self._base_model.database_id
table_name = self._properties["table_name"]
owners = self._properties["owners"]
database = db.session.query(Database).get(database_id)
if not database:
raise SupersetErrorException(
SupersetError(
message=__("The database was not found."),
error_type=SupersetErrorType.DATABASE_NOT_FOUND_ERROR,
level=ErrorLevel.ERROR,
),
status=404,
)
table = SqlaTable(table_name=table_name, owners=owners)
table.database = database
table.schema = self._base_model.schema
table.template_params = self._base_model.template_params
table.normalize_columns = self._base_model.normalize_columns
table.always_filter_main_dttm = self._base_model.always_filter_main_dttm
table.is_sqllab_view = True
table.sql = ParsedQuery(
self._base_model.sql,
engine=database.db_engine_spec.engine,
).stripped()
db.session.add(table)
cols = []
for config_ in self._base_model.columns:
column_name = config_.column_name
col = TableColumn(
column_name=column_name,
verbose_name=config_.verbose_name,
expression=config_.expression,
filterable=True,
groupby=True,
is_dttm=config_.is_dttm,
type=config_.type,
description=config_.description,
)
cols.append(col)
table.columns = cols
mets = []
for config_ in self._base_model.metrics:
metric_name = config_.metric_name
met = SqlMetric(
metric_name=metric_name,
verbose_name=config_.verbose_name,
expression=config_.expression,
metric_type=config_.metric_type,
description=config_.description,
)
mets.append(met)
table.metrics = mets
return table
def validate(self) -> None:
exceptions: list[ValidationError] = []
base_model_id = self._properties["base_model_id"]
duplicate_name = self._properties["table_name"]
base_model = DatasetDAO.find_by_id(base_model_id)
if not base_model:
exceptions.append(DatasetNotFoundError())
else:
self._base_model = base_model
if self._base_model and self._base_model.kind != "virtual":
exceptions.append(DatasourceTypeInvalidError())
if DatasetDAO.find_one_or_none(table_name=duplicate_name):
exceptions.append(DatasetExistsValidationError(table=Table(duplicate_name)))
try:
owners = self.populate_owners()
self._properties["owners"] = owners
except ValidationError as ex:
exceptions.append(ex)
if exceptions:
raise DatasetInvalidError(exceptions=exceptions)