# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# 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
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations

import logging
from functools import partial
from typing import Any

from flask_appbuilder.models.sqla import Model
from sqlalchemy.exc import SQLAlchemyError

from superset.commands.base import BaseCommand
from superset.commands.semantic_layer.exceptions import (
    SemanticLayerCreateFailedError,
    SemanticLayerInvalidError,
    SemanticLayerNotFoundError,
    SemanticViewCreateFailedError,
)
from superset.daos.semantic_layer import SemanticLayerDAO, SemanticViewDAO
from superset.semantic_layers.registry import registry
from superset.utils import json
from superset.utils.decorators import on_error, transaction

logger = logging.getLogger(__name__)


class CreateSemanticLayerCommand(BaseCommand):
    def __init__(self, data: dict[str, Any]):
        self._properties = data.copy()

    @transaction(
        on_error=partial(
            on_error,
            catches=(SQLAlchemyError, ValueError),
            reraise=SemanticLayerCreateFailedError,
        )
    )
    def run(self) -> Model:
        self.validate()
        if isinstance(self._properties.get("configuration"), dict):
            self._properties["configuration"] = json.dumps(
                self._properties["configuration"]
            )
        return SemanticLayerDAO.create(attributes=self._properties)

    def validate(self) -> None:
        sl_type = self._properties.get("type")
        if sl_type not in registry:
            raise SemanticLayerInvalidError(f"Unknown type: {sl_type}")

        name: str = self._properties.get("name", "")
        if not SemanticLayerDAO.validate_uniqueness(name):
            raise SemanticLayerInvalidError(f"Name already exists: {name}")

        # Validate configuration against the plugin
        cls = registry[sl_type]
        cls.from_configuration(self._properties["configuration"])


class CreateSemanticViewCommand(BaseCommand):
    def __init__(self, data: dict[str, Any]):
        self._properties = data.copy()

    @transaction(
        on_error=partial(
            on_error,
            catches=(SQLAlchemyError, ValueError),
            reraise=SemanticViewCreateFailedError,
        )
    )
    def run(self) -> Model:
        self.validate()
        if isinstance(self._properties.get("configuration"), dict):
            self._properties["configuration"] = json.dumps(
                self._properties["configuration"]
            )
        return SemanticViewDAO.create(attributes=self._properties)

    def validate(self) -> None:
        layer_uuid: str = self._properties.get("semantic_layer_uuid", "")
        if not SemanticLayerDAO.find_by_uuid(layer_uuid):
            raise SemanticLayerNotFoundError()

        name: str = self._properties.get("name", "")
        configuration: dict[str, Any] = self._properties.get("configuration") or {}
        if not SemanticViewDAO.validate_uniqueness(name, layer_uuid, configuration):
            raise ValueError(
                f"Semantic view '{name}' already exists for this layer"
                " and configuration"
            )