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58 lines
1.9 KiB
Python
58 lines
1.9 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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from superset import db
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from .birth_names import load_birth_names
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from .helpers import merge_slice, misc_dash_slices, Slice
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from .world_bank import load_world_bank_health_n_pop
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def load_multi_line(only_metadata=False):
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load_world_bank_health_n_pop(only_metadata)
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load_birth_names(only_metadata)
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ids = [
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row.id
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for row in db.session.query(Slice).filter(
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Slice.slice_name.in_(["Growth Rate", "Trends"])
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)
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]
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slc = Slice(
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datasource_type="table", # not true, but needed
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datasource_id=1, # cannot be empty
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slice_name="Multi Line",
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viz_type="line_multi",
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params=json.dumps(
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{
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"slice_name": "Multi Line",
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"viz_type": "line_multi",
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"line_charts": [ids[0]],
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"line_charts_2": [ids[1]],
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"since": "1970",
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"until": "1995",
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"prefix_metric_with_slice_name": True,
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"show_legend": False,
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"x_axis_format": "%Y",
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}
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),
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)
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misc_dash_slices.add(slc.slice_name)
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merge_slice(slc)
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