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3d08266714
* [load_examples] download data at runtime When running `superset load_examples` to load example data sets, Superset used to load from the local package. This created a few issues notably around licensing (what are these datasets licensed as?) and around package size. For now, I moved the data sets here: https://github.com/apache-superset/examples-data Altered the logic to download the data from where it is stored. * flakes
62 lines
2.2 KiB
Python
62 lines
2.2 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 pandas as pd
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from sqlalchemy import DateTime
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from superset import db
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from superset.utils import core as utils
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from .helpers import get_example_data, TBL
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def load_flights():
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"""Loading random time series data from a zip file in the repo"""
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tbl_name = 'flights'
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data = get_example_data('flight_data.csv.gz', make_bytes=True)
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pdf = pd.read_csv(data, encoding='latin-1')
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# Loading airports info to join and get lat/long
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airports_bytes = get_example_data('airports.csv.gz', make_bytes=True)
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airports = pd.read_csv(airports_bytes, encoding='latin-1')
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airports = airports.set_index('IATA_CODE')
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pdf['ds'] = pdf.YEAR.map(str) + '-0' + pdf.MONTH.map(str) + '-0' + pdf.DAY.map(str)
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pdf.ds = pd.to_datetime(pdf.ds)
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del pdf['YEAR']
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del pdf['MONTH']
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del pdf['DAY']
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pdf = pdf.join(airports, on='ORIGIN_AIRPORT', rsuffix='_ORIG')
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pdf = pdf.join(airports, on='DESTINATION_AIRPORT', rsuffix='_DEST')
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pdf.to_sql(
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tbl_name,
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db.engine,
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if_exists='replace',
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chunksize=500,
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dtype={
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'ds': DateTime,
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},
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index=False)
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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 = 'Random set of flights in the US'
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tbl.database = utils.get_or_create_main_db()
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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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print('Done loading table!')
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