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The name analyzer is the actual work horse of the tokenizer. It is instantiated on a thread-base and provides all functions for analysing names and queries.
130 lines
4.0 KiB
Python
130 lines
4.0 KiB
Python
"""
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Mix-ins that provide the actual commands for the indexer for various indexing
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tasks.
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"""
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import functools
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import psycopg2.extras
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# pylint: disable=C0111
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class AbstractPlacexRunner:
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""" Returns SQL commands for indexing of the placex table.
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"""
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SELECT_SQL = 'SELECT place_id, (placex_prepare_update(placex)).* FROM placex'
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def __init__(self, rank, analyzer):
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self.rank = rank
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self.analyzer = analyzer
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@staticmethod
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@functools.lru_cache(maxsize=1)
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def _index_sql(num_places):
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return """ UPDATE placex
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SET indexed_status = 0, address = v.addr, token_info = v.ti
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FROM (VALUES {}) as v(id, addr, ti)
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WHERE place_id = v.id
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""".format(','.join(["(%s, %s::hstore, %s::json)"] * num_places))
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def index_places(self, worker, places):
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values = []
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for place in places:
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values.extend((place[x] for x in ('place_id', 'address')))
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values.append(psycopg2.extras.Json(self.analyzer.process_place(place)))
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worker.perform(self._index_sql(len(places)), values)
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class RankRunner(AbstractPlacexRunner):
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""" Returns SQL commands for indexing one rank within the placex table.
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"""
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def name(self):
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return "rank {}".format(self.rank)
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def sql_count_objects(self):
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return """SELECT count(*) FROM placex
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WHERE rank_address = {} and indexed_status > 0
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""".format(self.rank)
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def sql_get_objects(self):
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return """{} WHERE indexed_status > 0 and rank_address = {}
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ORDER BY geometry_sector
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""".format(self.SELECT_SQL, self.rank)
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class BoundaryRunner(AbstractPlacexRunner):
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""" Returns SQL commands for indexing the administrative boundaries
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of a certain rank.
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"""
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def name(self):
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return "boundaries rank {}".format(self.rank)
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def sql_count_objects(self):
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return """SELECT count(*) FROM placex
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WHERE indexed_status > 0
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AND rank_search = {}
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AND class = 'boundary' and type = 'administrative'
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""".format(self.rank)
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def sql_get_objects(self):
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return """{} WHERE indexed_status > 0 and rank_search = {}
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and class = 'boundary' and type = 'administrative'
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ORDER BY partition, admin_level
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""".format(self.SELECT_SQL, self.rank)
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class InterpolationRunner:
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""" Returns SQL commands for indexing the address interpolation table
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location_property_osmline.
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"""
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@staticmethod
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def name():
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return "interpolation lines (location_property_osmline)"
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@staticmethod
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def sql_count_objects():
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return """SELECT count(*) FROM location_property_osmline
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WHERE indexed_status > 0"""
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@staticmethod
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def sql_get_objects():
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return """SELECT place_id FROM location_property_osmline
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WHERE indexed_status > 0
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ORDER BY geometry_sector"""
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@staticmethod
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def index_places(worker, ids):
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worker.perform(""" UPDATE location_property_osmline
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SET indexed_status = 0 WHERE place_id IN ({})
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""".format(','.join((str(i[0]) for i in ids))))
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class PostcodeRunner:
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""" Provides the SQL commands for indexing the location_postcode table.
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"""
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@staticmethod
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def name():
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return "postcodes (location_postcode)"
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@staticmethod
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def sql_count_objects():
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return 'SELECT count(*) FROM location_postcode WHERE indexed_status > 0'
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@staticmethod
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def sql_get_objects():
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return """SELECT place_id FROM location_postcode
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WHERE indexed_status > 0
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ORDER BY country_code, postcode"""
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@staticmethod
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def index_places(worker, ids):
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worker.perform(""" UPDATE location_postcode SET indexed_status = 0
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WHERE place_id IN ({})
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""".format(','.join((str(i[0]) for i in ids))))
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