42 lines
1.1 KiB
Python
42 lines
1.1 KiB
Python
import gzip
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import json
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import os
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import pandas as pd
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import polyline
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from sqlalchemy import String, Text
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from superset import db
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from superset.utils.core import get_or_create_main_db
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from .helpers import DATA_FOLDER, TBL
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def load_bart_lines():
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tbl_name = 'bart_lines'
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with gzip.open(os.path.join(DATA_FOLDER, 'bart-lines.json.gz')) as f:
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df = pd.read_json(f, encoding='latin-1')
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df['path_json'] = df.path.map(json.dumps)
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df['polyline'] = df.path.map(polyline.encode)
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del df['path']
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df.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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'color': String(255),
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'name': String(255),
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'polyline': Text,
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'path_json': Text,
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},
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index=False)
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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 = 'BART lines'
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tbl.database = 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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