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# Licensed to the Apache Software Foundation (ASF) under one
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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
# "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 typing import Any, Dict, List, Optional
from flask_appbuilder.models.sqla.interface import SQLAInterface
from sqlalchemy.exc import SQLAlchemyError
from sqlalchemy.orm import contains_eager
from superset.dao.base import BaseDAO
from superset.dashboards.commands.exceptions import DashboardNotFoundError
from superset.dashboards.filters import DashboardFilter
from superset.extensions import db
from superset.models.core import FavStar, FavStarClassName
from superset.models.dashboard import Dashboard, id_or_slug_filter
from superset.models.slice import Slice
from superset.utils import core
from superset.utils.dashboard_filter_scopes_converter import copy_filter_scopes
logger = logging.getLogger(__name__)
class DashboardDAO(BaseDAO):
model_cls = Dashboard
base_filter = DashboardFilter
@staticmethod
def get_by_id_or_slug(id_or_slug: str) -> Dashboard:
query = (
db.session.query(Dashboard)
.filter(id_or_slug_filter(id_or_slug))
.outerjoin(Slice, Dashboard.slices)
.outerjoin(Slice.table)
.outerjoin(Dashboard.owners)
.outerjoin(Dashboard.roles)
)
# Apply dashboard base filters
query = DashboardFilter("id", SQLAInterface(Dashboard, db.session)).apply(
query, None
)
dashboard = query.one_or_none()
if not dashboard:
raise DashboardNotFoundError()
return dashboard
@staticmethod
def get_datasets_for_dashboard(id_or_slug: str) -> List[Any]:
query = (
db.session.query(Dashboard)
.filter(id_or_slug_filter(id_or_slug))
.outerjoin(Slice, Dashboard.slices)
.outerjoin(Slice.table)
)
# Apply dashboard base filters
query = DashboardFilter("id", SQLAInterface(Dashboard, db.session)).apply(
query, None
)
dashboard = query.one_or_none()
if not dashboard:
raise DashboardNotFoundError()
datasource_slices = core.indexed(dashboard.slices, "datasource")
data = [
datasource.data_for_slices(slices)
for datasource, slices in datasource_slices.items()
if datasource
]
return data
@staticmethod
def get_charts_for_dashboard(dashboard_id: int) -> List[Slice]:
query = (
db.session.query(Dashboard)
.outerjoin(Slice, Dashboard.slices)
.outerjoin(Slice.table)
.filter(Dashboard.id == dashboard_id)
.options(contains_eager(Dashboard.slices))
)
# Apply dashboard base filters
query = DashboardFilter("id", SQLAInterface(Dashboard, db.session)).apply(
query, None
)
dashboard = query.one_or_none()
if not dashboard:
raise DashboardNotFoundError()
return dashboard.slices
@staticmethod
def validate_slug_uniqueness(slug: str) -> bool:
if not slug:
return True
dashboard_query = db.session.query(Dashboard).filter(Dashboard.slug == slug)
return not db.session.query(dashboard_query.exists()).scalar()
@staticmethod
def validate_update_slug_uniqueness(dashboard_id: int, slug: Optional[str]) -> bool:
if slug is not None:
dashboard_query = db.session.query(Dashboard).filter(
Dashboard.slug == slug, Dashboard.id != dashboard_id
)
return not db.session.query(dashboard_query.exists()).scalar()
return True
@staticmethod
def update_charts_owners(model: Dashboard, commit: bool = True) -> Dashboard:
owners = list(model.owners)
for slc in model.slices:
slc.owners = list(set(owners) | set(slc.owners))
if commit:
db.session.commit()
return model
@staticmethod
def bulk_delete(models: Optional[List[Dashboard]], commit: bool = True) -> None:
item_ids = [model.id for model in models] if models else []
# bulk delete, first delete related data
if models:
for model in models:
model.slices = []
model.owners = []
db.session.merge(model)
# bulk delete itself
try:
db.session.query(Dashboard).filter(Dashboard.id.in_(item_ids)).delete(
synchronize_session="fetch"
)
if commit:
db.session.commit()
except SQLAlchemyError as ex:
if commit:
db.session.rollback()
raise ex
@staticmethod
def set_dash_metadata(
dashboard: Dashboard,
data: Dict[Any, Any],
old_to_new_slice_ids: Optional[Dict[int, int]] = None,
) -> None:
positions = data["positions"]
# find slices in the position data
slice_ids = [
value.get("meta", {}).get("chartId")
for value in positions.values()
if isinstance(value, dict)
]
session = db.session()
current_slices = session.query(Slice).filter(Slice.id.in_(slice_ids)).all()
dashboard.slices = current_slices
# add UUID to positions
uuid_map = {slice.id: str(slice.uuid) for slice in current_slices}
for obj in positions.values():
if (
isinstance(obj, dict)
and obj["type"] == "CHART"
and obj["meta"]["chartId"]
):
chart_id = obj["meta"]["chartId"]
obj["meta"]["uuid"] = uuid_map.get(chart_id)
# remove leading and trailing white spaces in the dumped json
dashboard.position_json = json.dumps(
positions, indent=None, separators=(",", ":"), sort_keys=True
)
md = dashboard.params_dict
dashboard.css = data.get("css")
dashboard.dashboard_title = data["dashboard_title"]
if "timed_refresh_immune_slices" not in md:
md["timed_refresh_immune_slices"] = []
new_filter_scopes = {}
if "filter_scopes" in data:
# replace filter_id and immune ids from old slice id to new slice id:
# and remove slice ids that are not in dash anymore
slc_id_dict: Dict[int, int] = {}
if old_to_new_slice_ids:
slc_id_dict = {
old: new
for old, new in old_to_new_slice_ids.items()
if new in slice_ids
}
else:
slc_id_dict = {sid: sid for sid in slice_ids}
new_filter_scopes = copy_filter_scopes(
old_to_new_slc_id_dict=slc_id_dict,
old_filter_scopes=json.loads(data["filter_scopes"] or "{}"),
)
if new_filter_scopes:
md["filter_scopes"] = new_filter_scopes
else:
md.pop("filter_scopes", None)
md["expanded_slices"] = data.get("expanded_slices", {})
md["refresh_frequency"] = data.get("refresh_frequency", 0)
default_filters_data = json.loads(data.get("default_filters", "{}"))
applicable_filters = {
key: v for key, v in default_filters_data.items() if int(key) in slice_ids
}
md["default_filters"] = json.dumps(applicable_filters)
md["color_scheme"] = data.get("color_scheme")
if data.get("color_namespace"):
md["color_namespace"] = data.get("color_namespace")
if data.get("label_colors"):
md["label_colors"] = data.get("label_colors")
dashboard.json_metadata = json.dumps(md)
@staticmethod
def favorited_ids(
dashboards: List[Dashboard], current_user_id: int
) -> List[FavStar]:
ids = [dash.id for dash in dashboards]
return [
star.obj_id
for star in db.session.query(FavStar.obj_id)
.filter(
FavStar.class_name == FavStarClassName.DASHBOARD,
FavStar.obj_id.in_(ids),
FavStar.user_id == current_user_id,
)
.all()
]