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* [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
156 lines
4.1 KiB
Python
156 lines
4.1 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 datetime
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import json
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import random
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import pandas as pd
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from sqlalchemy import Date, Float, String
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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 (
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config,
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Dash,
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get_example_data,
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get_slice_json,
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merge_slice,
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Slice,
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TBL,
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update_slice_ids,
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)
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def load_unicode_test_data():
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"""Loading unicode test dataset from a csv file in the repo"""
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data = get_example_data(
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'unicode_utf8_unixnl_test.csv', is_gzip=False, make_bytes=True)
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df = pd.read_csv(data, encoding='utf-8')
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# generate date/numeric data
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df['dttm'] = datetime.datetime.now().date()
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df['value'] = [random.randint(1, 100) for _ in range(len(df))]
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df.to_sql( # pylint: disable=no-member
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'unicode_test',
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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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'phrase': String(500),
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'short_phrase': String(10),
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'with_missing': String(100),
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'dttm': Date(),
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'value': Float(),
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},
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index=False)
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print('Done loading table!')
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print('-' * 80)
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print('Creating table [unicode_test] reference')
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obj = db.session.query(TBL).filter_by(table_name='unicode_test').first()
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if not obj:
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obj = TBL(table_name='unicode_test')
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obj.main_dttm_col = 'dttm'
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obj.database = utils.get_or_create_main_db()
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db.session.merge(obj)
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db.session.commit()
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obj.fetch_metadata()
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tbl = obj
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slice_data = {
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'granularity_sqla': 'dttm',
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'groupby': [],
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'metric': 'sum__value',
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'row_limit': config.get('ROW_LIMIT'),
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'since': '100 years ago',
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'until': 'now',
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'where': '',
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'viz_type': 'word_cloud',
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'size_from': '10',
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'series': 'short_phrase',
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'size_to': '70',
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'rotation': 'square',
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'limit': '100',
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}
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print('Creating a slice')
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slc = Slice(
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slice_name='Unicode Cloud',
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viz_type='word_cloud',
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datasource_type='table',
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datasource_id=tbl.id,
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params=get_slice_json(slice_data),
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)
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merge_slice(slc)
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print('Creating a dashboard')
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dash = (
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db.session.query(Dash)
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.filter_by(dashboard_title='Unicode Test')
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.first()
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)
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if not dash:
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dash = Dash()
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js = """\
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{
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"CHART-Hkx6154FEm": {
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"children": [],
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"id": "CHART-Hkx6154FEm",
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"meta": {
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"chartId": 2225,
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"height": 30,
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"sliceName": "slice 1",
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"width": 4
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},
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"type": "CHART"
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},
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"GRID_ID": {
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"children": [
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"ROW-SyT19EFEQ"
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],
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"id": "GRID_ID",
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"type": "GRID"
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},
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"ROOT_ID": {
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"children": [
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"GRID_ID"
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],
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"id": "ROOT_ID",
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"type": "ROOT"
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},
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"ROW-SyT19EFEQ": {
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"children": [
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"CHART-Hkx6154FEm"
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],
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"id": "ROW-SyT19EFEQ",
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"meta": {
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"background": "BACKGROUND_TRANSPARENT"
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},
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"type": "ROW"
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},
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"DASHBOARD_VERSION_KEY": "v2"
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}
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"""
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dash.dashboard_title = 'Unicode Test'
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pos = json.loads(js)
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update_slice_ids(pos, [slc])
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dash.position_json = json.dumps(pos, indent=4)
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dash.slug = 'unicode-test'
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dash.slices = [slc]
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db.session.merge(dash)
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db.session.commit()
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