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# 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.
import json
import logging
from datetime import datetime
from distutils.util import strtobool
from io import BytesIO
from typing import Any
from zipfile import ZipFile

import yaml
from flask import g, request, Response, send_file
from flask_appbuilder.api import expose, protect, rison, safe
from flask_appbuilder.models.sqla.interface import SQLAInterface
from flask_babel import ngettext
from marshmallow import ValidationError

from superset import event_logger, is_feature_enabled
from superset.commands.exceptions import CommandInvalidError
from superset.commands.importers.v1.utils import get_contents_from_bundle
from superset.connectors.sqla.models import SqlaTable
from superset.constants import MODEL_API_RW_METHOD_PERMISSION_MAP, RouteMethod
from superset.databases.filters import DatabaseFilter
from superset.datasets.commands.bulk_delete import BulkDeleteDatasetCommand
from superset.datasets.commands.create import CreateDatasetCommand
from superset.datasets.commands.delete import DeleteDatasetCommand
from superset.datasets.commands.exceptions import (
    DatasetBulkDeleteFailedError,
    DatasetCreateFailedError,
    DatasetDeleteFailedError,
    DatasetForbiddenError,
    DatasetImportError,
    DatasetInvalidError,
    DatasetNotFoundError,
    DatasetRefreshFailedError,
    DatasetUpdateFailedError,
)
from superset.datasets.commands.export import ExportDatasetsCommand
from superset.datasets.commands.importers.dispatcher import ImportDatasetsCommand
from superset.datasets.commands.refresh import RefreshDatasetCommand
from superset.datasets.commands.update import UpdateDatasetCommand
from superset.datasets.dao import DatasetDAO
from superset.datasets.filters import DatasetIsNullOrEmptyFilter
from superset.datasets.schemas import (
    DatasetPostSchema,
    DatasetPutSchema,
    DatasetRelatedObjectsResponse,
    get_delete_ids_schema,
    get_export_ids_schema,
)
from superset.views.base import DatasourceFilter, generate_download_headers
from superset.views.base_api import (
    BaseSupersetModelRestApi,
    RelatedFieldFilter,
    statsd_metrics,
)
from superset.views.filters import FilterRelatedOwners

logger = logging.getLogger(__name__)


class DatasetRestApi(BaseSupersetModelRestApi):
    datamodel = SQLAInterface(SqlaTable)
    base_filters = [["id", DatasourceFilter, lambda: []]]

    resource_name = "dataset"
    allow_browser_login = True
    class_permission_name = "Dataset"
    method_permission_name = MODEL_API_RW_METHOD_PERMISSION_MAP
    include_route_methods = RouteMethod.REST_MODEL_VIEW_CRUD_SET | {
        RouteMethod.EXPORT,
        RouteMethod.IMPORT,
        RouteMethod.RELATED,
        RouteMethod.DISTINCT,
        "bulk_delete",
        "refresh",
        "related_objects",
    }
    list_columns = [
        "id",
        "database.id",
        "database.database_name",
        "changed_by_name",
        "changed_by_url",
        "changed_by.first_name",
        "changed_by.username",
        "changed_on_utc",
        "changed_on_delta_humanized",
        "default_endpoint",
        "explore_url",
        "extra",
        "kind",
        "owners.id",
        "owners.username",
        "owners.first_name",
        "owners.last_name",
        "schema",
        "sql",
        "table_name",
    ]
    list_select_columns = list_columns + ["changed_on", "changed_by_fk"]
    order_columns = [
        "table_name",
        "schema",
        "changed_by.first_name",
        "changed_on_delta_humanized",
        "database.database_name",
    ]
    show_columns = [
        "id",
        "database.database_name",
        "database.id",
        "table_name",
        "sql",
        "filter_select_enabled",
        "fetch_values_predicate",
        "schema",
        "description",
        "main_dttm_col",
        "offset",
        "default_endpoint",
        "cache_timeout",
        "is_sqllab_view",
        "template_params",
        "owners.id",
        "owners.username",
        "owners.first_name",
        "owners.last_name",
        "columns",
        "metrics",
        "datasource_type",
        "url",
        "extra",
    ]
    add_model_schema = DatasetPostSchema()
    edit_model_schema = DatasetPutSchema()
    add_columns = ["database", "schema", "table_name", "owners"]
    edit_columns = [
        "table_name",
        "sql",
        "filter_select_enabled",
        "fetch_values_predicate",
        "schema",
        "description",
        "main_dttm_col",
        "offset",
        "default_endpoint",
        "cache_timeout",
        "is_sqllab_view",
        "template_params",
        "owners",
        "columns",
        "metrics",
        "extra",
    ]
    openapi_spec_tag = "Datasets"
    related_field_filters = {
        "owners": RelatedFieldFilter("first_name", FilterRelatedOwners),
        "database": "database_name",
    }
    search_filters = {"sql": [DatasetIsNullOrEmptyFilter]}
    filter_rel_fields = {"database": [["id", DatabaseFilter, lambda: []]]}
    allowed_rel_fields = {"database", "owners"}
    allowed_distinct_fields = {"schema"}

    apispec_parameter_schemas = {
        "get_export_ids_schema": get_export_ids_schema,
    }
    openapi_spec_component_schemas = (DatasetRelatedObjectsResponse,)

    @expose("/", methods=["POST"])
    @protect()
    @safe
    @statsd_metrics
    @event_logger.log_this_with_context(
        action=lambda self, *args, **kwargs: f"{self.__class__.__name__}.post",
        log_to_statsd=False,
    )
    def post(self) -> Response:
        """Creates a new Dataset
        ---
        post:
          description: >-
            Create a new Dataset
          requestBody:
            description: Dataset schema
            required: true
            content:
              application/json:
                schema:
                  $ref: '#/components/schemas/{{self.__class__.__name__}}.post'
          responses:
            201:
              description: Dataset added
              content:
                application/json:
                  schema:
                    type: object
                    properties:
                      id:
                        type: number
                      result:
                        $ref: '#/components/schemas/{{self.__class__.__name__}}.post'
            400:
              $ref: '#/components/responses/400'
            401:
              $ref: '#/components/responses/401'
            422:
              $ref: '#/components/responses/422'
            500:
              $ref: '#/components/responses/500'
        """
        if not request.is_json:
            return self.response_400(message="Request is not JSON")
        try:
            item = self.add_model_schema.load(request.json)
        # This validates custom Schema with custom validations
        except ValidationError as error:
            return self.response_400(message=error.messages)

        try:
            new_model = CreateDatasetCommand(g.user, item).run()
            return self.response(201, id=new_model.id, result=item)
        except DatasetInvalidError as ex:
            return self.response_422(message=ex.normalized_messages())
        except DatasetCreateFailedError as ex:
            logger.error(
                "Error creating model %s: %s", self.__class__.__name__, str(ex)
            )
            return self.response_422(message=str(ex))

    @expose("/<pk>", methods=["PUT"])
    @protect()
    @safe
    @statsd_metrics
    @event_logger.log_this_with_context(
        action=lambda self, *args, **kwargs: f"{self.__class__.__name__}.put",
        log_to_statsd=False,
    )
    def put(self, pk: int) -> Response:
        """Changes a Dataset
        ---
        put:
          description: >-
            Changes a Dataset
          parameters:
          - in: path
            schema:
              type: integer
            name: pk
          - in: path
            schema:
              type: bool
            name: override_columns
          requestBody:
            description: Dataset schema
            required: true
            content:
              application/json:
                schema:
                  $ref: '#/components/schemas/{{self.__class__.__name__}}.put'
          responses:
            200:
              description: Dataset changed
              content:
                application/json:
                  schema:
                    type: object
                    properties:
                      id:
                        type: number
                      result:
                        $ref: '#/components/schemas/{{self.__class__.__name__}}.put'
            400:
              $ref: '#/components/responses/400'
            401:
              $ref: '#/components/responses/401'
            403:
              $ref: '#/components/responses/403'
            404:
              $ref: '#/components/responses/404'
            422:
              $ref: '#/components/responses/422'
            500:
              $ref: '#/components/responses/500'
        """
        override_columns = (
            bool(strtobool(request.args["override_columns"]))
            if "override_columns" in request.args
            else False
        )
        if not request.is_json:
            return self.response_400(message="Request is not JSON")
        try:
            item = self.edit_model_schema.load(request.json)
        # This validates custom Schema with custom validations
        except ValidationError as error:
            return self.response_400(message=error.messages)
        try:
            changed_model = UpdateDatasetCommand(
                g.user, pk, item, override_columns
            ).run()
            response = self.response(200, id=changed_model.id, result=item)
        except DatasetNotFoundError:
            response = self.response_404()
        except DatasetForbiddenError:
            response = self.response_403()
        except DatasetInvalidError as ex:
            response = self.response_422(message=ex.normalized_messages())
        except DatasetUpdateFailedError as ex:
            logger.error(
                "Error updating model %s: %s", self.__class__.__name__, str(ex)
            )
            response = self.response_422(message=str(ex))
        return response

    @expose("/<pk>", methods=["DELETE"])
    @protect()
    @safe
    @statsd_metrics
    @event_logger.log_this_with_context(
        action=lambda self, *args, **kwargs: f"{self.__class__.__name__}.delete",
        log_to_statsd=False,
    )
    def delete(self, pk: int) -> Response:
        """Deletes a Dataset
        ---
        delete:
          description: >-
            Deletes a Dataset
          parameters:
          - in: path
            schema:
              type: integer
            name: pk
          responses:
            200:
              description: Dataset delete
              content:
                application/json:
                  schema:
                    type: object
                    properties:
                      message:
                        type: string
            401:
              $ref: '#/components/responses/401'
            403:
              $ref: '#/components/responses/403'
            404:
              $ref: '#/components/responses/404'
            422:
              $ref: '#/components/responses/422'
            500:
              $ref: '#/components/responses/500'
        """
        try:
            DeleteDatasetCommand(g.user, pk).run()
            return self.response(200, message="OK")
        except DatasetNotFoundError:
            return self.response_404()
        except DatasetForbiddenError:
            return self.response_403()
        except DatasetDeleteFailedError as ex:
            logger.error(
                "Error deleting model %s: %s", self.__class__.__name__, str(ex)
            )
            return self.response_422(message=str(ex))

    @expose("/export/", methods=["GET"])
    @protect()
    @safe
    @statsd_metrics
    @rison(get_export_ids_schema)
    @event_logger.log_this_with_context(
        action=lambda self, *args, **kwargs: f"{self.__class__.__name__}.export",
        log_to_statsd=False,
    )
    def export(self, **kwargs: Any) -> Response:
        """Export datasets
        ---
        get:
          description: >-
            Exports multiple datasets and downloads them as YAML files
          parameters:
          - in: query
            name: q
            content:
              application/json:
                schema:
                  $ref: '#/components/schemas/get_export_ids_schema'
          responses:
            200:
              description: Dataset export
              content:
                text/plain:
                  schema:
                    type: string
            400:
              $ref: '#/components/responses/400'
            401:
              $ref: '#/components/responses/401'
            404:
              $ref: '#/components/responses/404'
            500:
              $ref: '#/components/responses/500'
        """
        requested_ids = kwargs["rison"]

        if is_feature_enabled("VERSIONED_EXPORT"):
            timestamp = datetime.now().strftime("%Y%m%dT%H%M%S")
            root = f"dataset_export_{timestamp}"
            filename = f"{root}.zip"

            buf = BytesIO()
            with ZipFile(buf, "w") as bundle:
                try:
                    for file_name, file_content in ExportDatasetsCommand(
                        requested_ids
                    ).run():
                        with bundle.open(f"{root}/{file_name}", "w") as fp:
                            fp.write(file_content.encode())
                except DatasetNotFoundError:
                    return self.response_404()
            buf.seek(0)

            return send_file(
                buf,
                mimetype="application/zip",
                as_attachment=True,
                attachment_filename=filename,
            )

        query = self.datamodel.session.query(SqlaTable).filter(
            SqlaTable.id.in_(requested_ids)
        )
        query = self._base_filters.apply_all(query)
        items = query.all()
        ids = [item.id for item in items]
        if len(ids) != len(requested_ids):
            return self.response_404()

        data = [t.export_to_dict() for t in items]
        return Response(
            yaml.safe_dump(data),
            headers=generate_download_headers("yaml"),
            mimetype="application/text",
        )

    @expose("/<pk>/refresh", methods=["PUT"])
    @protect()
    @safe
    @statsd_metrics
    @event_logger.log_this_with_context(
        action=lambda self, *args, **kwargs: f"{self.__class__.__name__}" f".refresh",
        log_to_statsd=False,
    )
    def refresh(self, pk: int) -> Response:
        """Refresh a Dataset
        ---
        put:
          description: >-
            Refreshes and updates columns of a dataset
          parameters:
          - in: path
            schema:
              type: integer
            name: pk
          responses:
            200:
              description: Dataset delete
              content:
                application/json:
                  schema:
                    type: object
                    properties:
                      message:
                        type: string
            401:
              $ref: '#/components/responses/401'
            403:
              $ref: '#/components/responses/403'
            404:
              $ref: '#/components/responses/404'
            422:
              $ref: '#/components/responses/422'
            500:
              $ref: '#/components/responses/500'
        """
        try:
            RefreshDatasetCommand(g.user, pk).run()
            return self.response(200, message="OK")
        except DatasetNotFoundError:
            return self.response_404()
        except DatasetForbiddenError:
            return self.response_403()
        except DatasetRefreshFailedError as ex:
            logger.error(
                "Error refreshing dataset %s: %s", self.__class__.__name__, str(ex)
            )
            return self.response_422(message=str(ex))

    @expose("/<pk>/related_objects", methods=["GET"])
    @protect()
    @safe
    @statsd_metrics
    @event_logger.log_this_with_context(
        action=lambda self, *args, **kwargs: f"{self.__class__.__name__}"
        f".related_objects",
        log_to_statsd=False,
    )
    def related_objects(self, pk: int) -> Response:
        """Get charts and dashboards count associated to a dataset
        ---
        get:
          description:
            Get charts and dashboards count associated to a dataset
          parameters:
          - in: path
            name: pk
            schema:
              type: integer
          responses:
            200:
            200:
              description: Query result
              content:
                application/json:
                  schema:
                    $ref: "#/components/schemas/DatasetRelatedObjectsResponse"
            401:
              $ref: '#/components/responses/401'
            404:
              $ref: '#/components/responses/404'
            500:
              $ref: '#/components/responses/500'
        """
        dataset = DatasetDAO.find_by_id(pk)
        if not dataset:
            return self.response_404()
        data = DatasetDAO.get_related_objects(pk)
        charts = [
            {
                "id": chart.id,
                "slice_name": chart.slice_name,
                "viz_type": chart.viz_type,
            }
            for chart in data["charts"]
        ]
        dashboards = [
            {
                "id": dashboard.id,
                "json_metadata": dashboard.json_metadata,
                "slug": dashboard.slug,
                "title": dashboard.dashboard_title,
            }
            for dashboard in data["dashboards"]
        ]
        return self.response(
            200,
            charts={"count": len(charts), "result": charts},
            dashboards={"count": len(dashboards), "result": dashboards},
        )

    @expose("/", methods=["DELETE"])
    @protect()
    @safe
    @statsd_metrics
    @rison(get_delete_ids_schema)
    @event_logger.log_this_with_context(
        action=lambda self, *args, **kwargs: f"{self.__class__.__name__}.bulk_delete",
        log_to_statsd=False,
    )
    def bulk_delete(self, **kwargs: Any) -> Response:
        """Delete bulk Datasets
        ---
        delete:
          description: >-
            Deletes multiple Datasets in a bulk operation.
          parameters:
          - in: query
            name: q
            content:
              application/json:
                schema:
                  $ref: '#/components/schemas/get_delete_ids_schema'
          responses:
            200:
              description: Dataset bulk delete
              content:
                application/json:
                  schema:
                    type: object
                    properties:
                      message:
                        type: string
            400:
              $ref: '#/components/responses/400'
            401:
              $ref: '#/components/responses/401'
            403:
              $ref: '#/components/responses/403'
            404:
              $ref: '#/components/responses/404'
            422:
              $ref: '#/components/responses/422'
            500:
              $ref: '#/components/responses/500'
        """
        item_ids = kwargs["rison"]
        try:
            BulkDeleteDatasetCommand(g.user, item_ids).run()
            return self.response(
                200,
                message=ngettext(
                    "Deleted %(num)d dataset",
                    "Deleted %(num)d datasets",
                    num=len(item_ids),
                ),
            )
        except DatasetNotFoundError:
            return self.response_404()
        except DatasetForbiddenError:
            return self.response_403()
        except DatasetBulkDeleteFailedError as ex:
            return self.response_422(message=str(ex))

    @expose("/import/", methods=["POST"])
    @protect()
    @safe
    @statsd_metrics
    @event_logger.log_this_with_context(
        action=lambda self, *args, **kwargs: f"{self.__class__.__name__}.import_",
        log_to_statsd=False,
    )
    def import_(self) -> Response:
        """Import dataset(s) with associated databases
        ---
        post:
          requestBody:
            required: true
            content:
              multipart/form-data:
                schema:
                  type: object
                  properties:
                    formData:
                      type: string
                      format: binary
                    passwords:
                      type: string
                    overwrite:
                      type: bool
          responses:
            200:
              description: Dataset import result
              content:
                application/json:
                  schema:
                    type: object
                    properties:
                      message:
                        type: string
            400:
              $ref: '#/components/responses/400'
            401:
              $ref: '#/components/responses/401'
            422:
              $ref: '#/components/responses/422'
            500:
              $ref: '#/components/responses/500'
        """
        upload = request.files.get("formData")
        if not upload:
            return self.response_400()
        with ZipFile(upload) as bundle:
            contents = get_contents_from_bundle(bundle)

        passwords = (
            json.loads(request.form["passwords"])
            if "passwords" in request.form
            else None
        )
        overwrite = request.form.get("overwrite") == "true"

        command = ImportDatasetsCommand(
            contents, passwords=passwords, overwrite=overwrite
        )
        try:
            command.run()
            return self.response(200, message="OK")
        except CommandInvalidError as exc:
            logger.warning("Import dataset failed")
            return self.response_422(message=exc.normalized_messages())
        except DatasetImportError as exc:
            logger.exception("Import dataset failed")
            return self.response_500(message=str(exc))