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61 lines
2.0 KiB
Python
61 lines
2.0 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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from sqlalchemy import String, Text
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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_paris_iris_geojson(only_metadata: bool = False, force: bool = False) -> None:
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tbl_name = "paris_iris_mapping"
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database = utils.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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data = get_example_data("paris_iris.json.gz")
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df = pd.read_json(data)
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df["features"] = df.features.map(json.dumps)
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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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"features": Text,
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"type": 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 = "Map of Paris"
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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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