blob: 60b84b5e90436edb6b95f8ecfdb76fa00bd2429c [file] [log] [blame]
# Licensed to the Apache Software Foundation (ASF) under one
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# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import json
import pandas as pd
import polyline
from sqlalchemy import String, Text
from superset import db
from superset.utils.core import get_example_database
from .helpers import get_example_data, TBL
def load_bart_lines(only_metadata: bool = False, force: bool = False) -> None:
tbl_name = "bart_lines"
database = get_example_database()
table_exists = database.has_table_by_name(tbl_name)
if not only_metadata and (not table_exists or force):
content = get_example_data("bart-lines.json.gz")
df = pd.read_json(content, encoding="latin-1")
df["path_json"] = df.path.map(json.dumps)
df["polyline"] = df.path.map(polyline.encode)
del df["path"]
df.to_sql(
tbl_name,
database.get_sqla_engine(),
if_exists="replace",
chunksize=500,
dtype={
"color": String(255),
"name": String(255),
"polyline": Text,
"path_json": Text,
},
index=False,
)
print("Creating table {} reference".format(tbl_name))
tbl = db.session.query(TBL).filter_by(table_name=tbl_name).first()
if not tbl:
tbl = TBL(table_name=tbl_name)
tbl.description = "BART lines"
tbl.database = database
db.session.merge(tbl)
db.session.commit()
tbl.fetch_metadata()