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d65b039219
* [WiP] improve load_examples related to #7472, longer term we will generate the examples by exporting them into tarball as in #7472. In the meantime, we need this subset of the features: * allowing specifying an alternate database connection for examples * allowing a --only-metadata flag to `load_examples` to load only dashboard and chart definitions, no actual data is loaded * Improve logging * Rename data->examples * Load only if not exist * By default do not load, add a force flag * fix build * set published to true
63 lines
2.1 KiB
Python
63 lines
2.1 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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import json
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import pandas as pd
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import polyline
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from sqlalchemy import String, Text
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from superset import db
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from superset.utils.core import get_example_database
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from .helpers import get_example_data, TBL
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def load_bart_lines(only_metadata=False, force=False):
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tbl_name = "bart_lines"
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database = get_example_database()
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table_exists = database.has_table_by_name(tbl_name)
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if not only_metadata and (not table_exists or force):
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content = get_example_data("bart-lines.json.gz")
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df = pd.read_json(content, encoding="latin-1")
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df["path_json"] = df.path.map(json.dumps)
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df["polyline"] = df.path.map(polyline.encode)
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del df["path"]
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df.to_sql(
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tbl_name,
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database.get_sqla_engine(),
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if_exists="replace",
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chunksize=500,
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dtype={
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"color": String(255),
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"name": String(255),
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"polyline": Text,
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"path_json": Text,
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},
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index=False,
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)
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print("Creating table {} reference".format(tbl_name))
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tbl = db.session.query(TBL).filter_by(table_name=tbl_name).first()
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if not tbl:
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tbl = TBL(table_name=tbl_name)
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tbl.description = "BART lines"
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tbl.database = database
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db.session.merge(tbl)
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db.session.commit()
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tbl.fetch_metadata()
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