mirror of
https://github.com/osm-search/Nominatim.git
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b90e719da5
The directories follow the same structure as the modules in nominatim/.
138 lines
5.0 KiB
Python
138 lines
5.0 KiB
Python
"""
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Test for tiger data function
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"""
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import tarfile
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from textwrap import dedent
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import pytest
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from nominatim.tools import tiger_data
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from nominatim.errors import UsageError
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class MockTigerTable:
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def __init__(self, conn):
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self.conn = conn
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with conn.cursor() as cur:
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cur.execute("""CREATE TABLE tiger (linegeo GEOMETRY,
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start INTEGER,
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stop INTEGER,
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interpol TEXT,
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token_info JSONB,
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postcode TEXT)""")
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def count(self):
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with self.conn.cursor() as cur:
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return cur.scalar("SELECT count(*) FROM tiger")
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def row(self):
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with self.conn.cursor() as cur:
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cur.execute("SELECT * FROM tiger LIMIT 1")
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return cur.fetchone()
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@pytest.fixture
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def tiger_table(def_config, temp_db_conn, sql_preprocessor,
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temp_db_with_extensions, tmp_path):
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def_config.lib_dir.sql = tmp_path / 'sql'
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def_config.lib_dir.sql.mkdir()
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(def_config.lib_dir.sql / 'tiger_import_start.sql').write_text(
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"""CREATE OR REPLACE FUNCTION tiger_line_import(linegeo GEOMETRY, start INTEGER,
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stop INTEGER, interpol TEXT,
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token_info JSONB, postcode TEXT)
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RETURNS INTEGER AS $$
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INSERT INTO tiger VALUES(linegeo, start, stop, interpol, token_info, postcode)
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RETURNING 1
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$$ LANGUAGE SQL;""")
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(def_config.lib_dir.sql / 'tiger_import_finish.sql').write_text(
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"""DROP FUNCTION tiger_line_import (linegeo GEOMETRY, in_startnumber INTEGER,
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in_endnumber INTEGER, interpolationtype TEXT,
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token_info JSONB, in_postcode TEXT);""")
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return MockTigerTable(temp_db_conn)
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@pytest.fixture
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def csv_factory(tmp_path):
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def _mk_file(fname, hnr_from=1, hnr_to=9, interpol='odd', street='Main St',
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city='Newtown', state='AL', postcode='12345',
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geometry='LINESTRING(-86.466995 32.428956,-86.466923 32.428933)'):
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(tmp_path / (fname + '.csv')).write_text(dedent("""\
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from;to;interpolation;street;city;state;postcode;geometry
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{};{};{};{};{};{};{};{}
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""".format(hnr_from, hnr_to, interpol, street, city, state,
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postcode, geometry)))
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return _mk_file
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@pytest.mark.parametrize("threads", (1, 5))
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def test_add_tiger_data(def_config, src_dir, tiger_table, tokenizer_mock, threads):
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tiger_data.add_tiger_data(str(src_dir / 'test' / 'testdb' / 'tiger'),
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def_config, threads, tokenizer_mock())
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assert tiger_table.count() == 6213
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def test_add_tiger_data_no_files(def_config, tiger_table, tokenizer_mock,
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tmp_path):
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tiger_data.add_tiger_data(str(tmp_path), def_config, 1, tokenizer_mock())
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assert tiger_table.count() == 0
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def test_add_tiger_data_bad_file(def_config, tiger_table, tokenizer_mock,
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tmp_path):
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sqlfile = tmp_path / '1010.csv'
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sqlfile.write_text("""Random text""")
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tiger_data.add_tiger_data(str(tmp_path), def_config, 1, tokenizer_mock())
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assert tiger_table.count() == 0
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def test_add_tiger_data_hnr_nan(def_config, tiger_table, tokenizer_mock,
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csv_factory, tmp_path):
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csv_factory('file1', hnr_from=99)
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csv_factory('file2', hnr_from='L12')
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csv_factory('file3', hnr_to='12.4')
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tiger_data.add_tiger_data(str(tmp_path), def_config, 1, tokenizer_mock())
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assert tiger_table.count() == 1
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assert tiger_table.row()['start'] == 99
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@pytest.mark.parametrize("threads", (1, 5))
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def test_add_tiger_data_tarfile(def_config, tiger_table, tokenizer_mock,
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tmp_path, src_dir, threads):
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tar = tarfile.open(str(tmp_path / 'sample.tar.gz'), "w:gz")
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tar.add(str(src_dir / 'test' / 'testdb' / 'tiger' / '01001.csv'))
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tar.close()
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tiger_data.add_tiger_data(str(tmp_path / 'sample.tar.gz'), def_config, threads,
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tokenizer_mock())
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assert tiger_table.count() == 6213
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def test_add_tiger_data_bad_tarfile(def_config, tiger_table, tokenizer_mock,
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tmp_path):
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tarfile = tmp_path / 'sample.tar.gz'
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tarfile.write_text("""Random text""")
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with pytest.raises(UsageError):
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tiger_data.add_tiger_data(str(tarfile), def_config, 1, tokenizer_mock())
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def test_add_tiger_data_empty_tarfile(def_config, tiger_table, tokenizer_mock,
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tmp_path):
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tar = tarfile.open(str(tmp_path / 'sample.tar.gz'), "w:gz")
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tar.add(__file__)
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tar.close()
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tiger_data.add_tiger_data(str(tmp_path / 'sample.tar.gz'), def_config, 1,
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tokenizer_mock())
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assert tiger_table.count() == 0
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