66 lines
2.4 KiB
Python
66 lines
2.4 KiB
Python
"""GIAS publishes its extracts in Windows-1252 and declares no charset.
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The tap used to hand pandas `resp.text`, so requests guessed the codec.
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On 3 Oct 2026 it guessed windows-1250, and "St Thomas à Becket" was stored
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as "St Thomas ŕ Becket". The `encoding=` passed to read_csv did nothing,
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because the text was already decoded.
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"""
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import importlib.util
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import logging
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from pathlib import Path
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import pytest
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MODULE = (Path(__file__).resolve().parents[1] / 'plugins' / 'extractors' / 'tap-uk-gias'
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/ 'tap_uk_gias' / 'gias_csv.py')
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@pytest.fixture
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def gias_csv():
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spec = importlib.util.spec_from_file_location('gias_csv', MODULE)
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module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(module)
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return module
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# Byte for byte as GIAS writes it: 0xE0 à, 0x92 ’, 0xE9 é, 0xB0 °, 0xE7 ç.
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EXTRACT = (
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b'"URN","EstablishmentName","HeadLastName"\r\n'
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b'"138950","St Thomas \xe0 Becket Catholic Secondary School","Smith"\r\n'
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b'"100000","The Dean and Chapter of St Paul\x92s Cathedral","Pr\xe9vert"\r\n'
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b'"140677","North Star 180\xb0","Fran\xe7ois"\r\n'
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b'"100001","No head recorded",""\r\n'
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)
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def test_names_decode_as_windows_1252(gias_csv):
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df = gias_csv.read_gias_csv(EXTRACT)
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assert list(df['EstablishmentName']) == [
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'St Thomas à Becket Catholic Secondary School',
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'The Dean and Chapter of St Paul’s Cathedral',
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'North Star 180°',
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'No head recorded',
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]
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assert list(df['HeadLastName']) == ['Smith', 'Prévert', 'François', '']
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def test_the_codec_requests_guessed_is_not_used(gias_csv):
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# What the tap stored on 3 Oct: the same bytes read as windows-1250.
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assert 'ŕ' in EXTRACT.decode('cp1250')
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names = ' '.join(gias_csv.read_gias_csv(EXTRACT)['EstablishmentName'])
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assert 'ŕ' not in names
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def test_values_stay_strings(gias_csv):
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df = gias_csv.read_gias_csv(EXTRACT)
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assert df.loc[0, 'URN'] == '138950'
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def test_a_byte_windows_1252_leaves_undefined_does_not_stop_the_load(gias_csv, caplog):
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# 0x81 has no Windows-1252 character. One odd name must not block the daily
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# refresh of every school, but it must be visible in the log.
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extract = b'"URN","EstablishmentName"\r\n"100002","Odd \x81 Name"\r\n'
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with caplog.at_level(logging.WARNING):
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df = gias_csv.read_gias_csv(extract, logger=logging.getLogger('gias'))
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assert df.loc[0, 'EstablishmentName'] == 'Odd � Name'
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assert 'could not be decoded' in caplog.text
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