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The most methodologically rigorous, fully transparent AI job-exposure index.

🔗 https://www.airiskindex.io
webappaiindexlaborresearch
TypeScript 88% Python 6.1% SQL 2.7% CSS 1.2% JavaScript 0.9% Shell 0.8%
582 B · 17 lines python
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1#  File:    test_smoke.py2#  Path:    apps/etl/tests/test_smoke.py3#  Project: AI Risk Index — airiskindex.io4#  Author:  Simon-Pierre Boucher5#  Contact: contact@spboucher.ai6#  Copyright © 2026 Simon-Pierre Boucher. All rights reserved.7#8#  Description: ETL smoke tests (source configuration).910from airiskindex_etl.download_onet import ONET_URL, ONET_VERSION, RAW_DIR111213def test_onet_source_configuration() -> None:14    assert ONET_VERSION.startswith("30_")15    assert ONET_URL.endswith(f"db_{ONET_VERSION}_text.zip")16    assert RAW_DIR.parts[-3:] == ("data", "raw", "onet")17