from __future__ import annotations import unittest from romani_asr.transcript_audit import ( TranscriptAuditRow, audit_transcripts, tokenize_transcript, transcript_issue_flags, ) class TranscriptAuditTests(unittest.TestCase): def test_transcript_issue_flags_find_editorial_artifacts(self) -> None: flags = transcript_issue_flags("41: barvalo/raňi phen- n´aj (x)") self.assertIn("speaker_tag", flags) self.assertIn("slash_variant", flags) self.assertIn("hyphen", flags) self.assertIn("apostrophe_or_accent", flags) self.assertIn("parentheses", flags) def test_tokenize_transcript_keeps_apostrophe_fragments_together(self) -> None: self.assertEqual(tokenize_transcript("n´ajse jakha"), ["n'ajse", "jakha"]) def test_audit_transcripts_reports_variants_and_split_candidates(self) -> None: rows = [ TranscriptAuditRow( id="a", manifest="train.csv", transcript="sikav o čitro pre savohin e ovoca", duration_sec=3.0, ), TranscriptAuditRow( id="b", manifest="test.csv", transcript="pro savo hin belavo tričkos", duration_sec=2.0, ), TranscriptAuditRow( id="c", manifest="train.csv", transcript="šukar rom", duration_sec=1.0, ), TranscriptAuditRow( id="d", manifest="train.csv", transcript="sukar rom", duration_sec=1.0, ), ] audit = audit_transcripts(rows, min_token_variant_count=2) token_variant_bases = { item["base"] for item in audit["token_variants"] } split_pairs = { (item["merged_token"], item["split_form"]) for item in audit["merged_split_candidates"] } self.assertIn("sukar", token_variant_bases) self.assertIn(("savohin", "savo hin"), split_pairs) if __name__ == "__main__": unittest.main()