feat(core): preprocessing utilities — normalize_number, normalize_columns_map, decode_bytes (#411)#415
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…umns_map, decode_bytes (#411)
Gabrymi93
marked this pull request as draft
July 15, 2026 17:18
…a docstring encoding
- _looks_like_number: aggiunto re.search(r'\d', val) per evitare che
normalize_number(',') ritorni '.' o normalize_number('-') ritorni '-'
- decode_bytes: docstring allineata all'ordine reale (cp1252 prima di
iso-8859-1) con nota sulla preservazione di €
- Test: 6 nuovi casi edge per normalize_number (',' , '-,' , '.' , '-'
con empty_values custom, punteggiatura varia)
- Test: commento cp1252 aggiornato
- .gitignore: aggiunto .tmp/ (DuckDB temp storage)
Gabrymi93
marked this pull request as ready for review
July 21, 2026 08:11
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Sintesi
Nuovo modulo
toolkit/core/normalize.pycon utility di preprocessing centralizzate per normalizzare numeri in formato italiano, mappare colonne con regex e decodificare bytes con fallback multi-encoding.Rimpiazza 13 copie identiche nei candidate di dataset-incubator (elezioni-*, iva-regionale).
Contesto collegato
Closes #411
Cosa cambia
Impatto su contratti pubblici
Nessuno. Nuovo codice, nessuna modifica a funzioni esistenti.
Verifica
pytest -m pure_unitpassa (417 test)tests/test_normalize.py(45 test, markerpure_unit)Checklist PR
Cosa contiene
normalize_number(val, *, strip_dot_zero, empty_values) -> str | None— normalizza numeri formato italiano (1.234,56 → 1234.56, gestisce *** / - / N.D. → None, convalida output con_looks_like_number)normalize_columns_map(header, col_map) -> (list[str], list[int])— mappa colonne via regex con stripping di virgolette/whitespacedecode_bytes(data, encodings) -> str— decodifica multi-encoding con cp1252 prima di iso-8859-1 (€ corretto)decode_csv_bytes(data) -> str— wrapper specializzato per CSV