Tom Kralidis
72 lines
2.2 KiB
Python
72 lines
2.2 KiB
Python
# =================================================================
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#
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# Authors: Tom Kralidis <tomkralidis@gmail.com>
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#
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# Copyright (c) 2018 Tom Kralidis
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#
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# Permission is hereby granted, free of charge, to any person
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# obtaining a copy of this software and associated documentation
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# files (the "Software"), to deal in the Software without
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# restriction, including without limitation the rights to use,
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# copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the
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# Software is furnished to do so, subject to the following
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# conditions:
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#
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# The above copyright notice and this permission notice shall be
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# included in all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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# OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
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# HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
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# OTHER DEALINGS IN THE SOFTWARE.
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#
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# =================================================================
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import json
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import os
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import sys
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from elasticsearch import Elasticsearch
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es = Elasticsearch()
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index_name = 'ne_110m_populated_places_simple'
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type_name = 'FeatureCollection'
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if (sys.argv) == 1:
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print('Usage: {} <path/to/data.geojson>'.format(sys.argv[0]))
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sys.exit(1)
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index_name = os.path.splitext(os.path.basename(sys.argv[1]))[0]
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if es.indices.exists(index_name):
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es.indices.delete(index_name)
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# index settings
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settings = {
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'mappings': {
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'FeatureCollection': {
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'properties': {
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'geometry': {
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'type': 'geo_shape'
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}
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}
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}
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}
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}
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# create index
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es.indices.create(index=index_name, body=settings)
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with open(sys.argv[1]) as fh:
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d = json.load(fh)
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for f in d['features']:
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f['properties']['geonameid'] = int(f['properties']['geonameid'])
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res = es.index(index=index_name, doc_type=type_name,
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id=f['properties']['geonameid'], body=f)
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