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49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
# 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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# pylint: disable=C,R,W
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import json
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import logging
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import time
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from superset.models.core import Dashboard
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from superset.utils.core import decode_dashboards
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def import_dashboards(session, data_stream, import_time=None):
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"""Imports dashboards from a stream to databases"""
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current_tt = int(time.time())
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import_time = current_tt if import_time is None else import_time
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data = json.loads(data_stream.read(), object_hook=decode_dashboards)
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# TODO: import DRUID datasources
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for table in data["datasources"]:
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type(table).import_obj(table, import_time=import_time)
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session.commit()
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for dashboard in data["dashboards"]:
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Dashboard.import_obj(dashboard, import_time=import_time)
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session.commit()
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def export_dashboards(session):
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"""Returns all dashboards metadata as a json dump"""
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logging.info("Starting export")
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dashboards = session.query(Dashboard)
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dashboard_ids = []
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for dashboard in dashboards:
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dashboard_ids.append(dashboard.id)
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data = Dashboard.export_dashboards(dashboard_ids)
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return data
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