104 lines
3.0 KiB
Python
Executable File
104 lines
3.0 KiB
Python
Executable File
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import logging
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from typing import Union
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import click
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from celery.utils.abstract import CallableTask
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from flask.cli import with_appcontext
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from superset.extensions import db
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logger = logging.getLogger(__name__)
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@click.command()
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@with_appcontext
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@click.option(
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"--asynchronous",
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"-a",
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is_flag=True,
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default=False,
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help="Trigger commands to run remotely on a worker",
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)
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@click.option(
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"--dashboards_only",
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"-d",
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is_flag=True,
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default=False,
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help="Only process dashboards",
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)
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@click.option(
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"--charts_only",
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"-c",
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is_flag=True,
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default=False,
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help="Only process charts",
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)
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@click.option(
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"--force",
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"-f",
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is_flag=True,
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default=False,
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help="Force refresh, even if previously cached",
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)
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@click.option("--model_id", "-i", multiple=True)
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def compute_thumbnails(
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asynchronous: bool,
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dashboards_only: bool,
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charts_only: bool,
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force: bool,
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model_id: list[int],
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) -> None:
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"""Compute thumbnails"""
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# pylint: disable=import-outside-toplevel
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from superset.models.dashboard import Dashboard
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from superset.models.slice import Slice
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from superset.tasks.thumbnails import (
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cache_chart_thumbnail,
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cache_dashboard_thumbnail,
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)
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def compute_generic_thumbnail(
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friendly_type: str,
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model_cls: Union[type[Dashboard], type[Slice]],
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model_ids: list[int],
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compute_func: CallableTask,
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) -> None:
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query = db.session.query(model_cls)
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if model_ids:
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query = query.filter(model_cls.id.in_(model_ids))
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dashboards = query.all()
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count = len(dashboards)
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for i, model in enumerate(dashboards):
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if asynchronous:
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func = compute_func.delay
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action = "Triggering"
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else:
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func = compute_func
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action = "Processing"
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msg = f'{action} {friendly_type} "{model}" ({i+1}/{count})'
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click.secho(msg, fg="green")
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func(None, model.id, force=force)
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if not charts_only:
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compute_generic_thumbnail(
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"dashboard", Dashboard, model_id, cache_dashboard_thumbnail
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)
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if not dashboards_only:
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compute_generic_thumbnail("chart", Slice, model_id, cache_chart_thumbnail)
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