Closes 16 high-value findings from a parallel cross-module review.
Refactors:
- New src/core/_constants.py centralizes USPS street-suffix
abbreviations, US state names, and 2-letter postal codes — one source
of truth for both normalize_address (matching keys) and
standardize_address (display formatting). Eliminates ~80 lines of
duplicated dicts across normalizers.py and format_standardize.py.
- format_standardize.py: collapse 4 identical nested _err() helpers
into one shared _err_or_passthrough() module function; drop a dead
duplicate `return _err("not a phone number")` branch in
standardize_phone.
- format_standardize.py: precompile per-locale month-name regexes
(_MONTH_LOCALE_PATTERNS) and per-state-name regexes
(_STATE_NAME_PATTERNS) at import time — they were rebuilt on every
cell, a measurable hot path on million-row inputs.
- dedup.py: extract _is_missing(value) helper; one definition of
"this cell is None / NaN / pd.NA" instead of two.
- fixes.py: extract _is_string_column(ser) helper; one dtype check
instead of three duplicates across _apply_to_strings,
_vectorized_translate, _vectorized_regex_sub.
Production-readiness:
- format_standardize.standardize_dataframe now logs a warning when
more than 10% of typed cells are unparseable — surfaces the
silently-broken-pipeline failure mode.
- StandardizeOptions.from_dict validates date_order / phone_format /
currency_decimal / name_case / boolean_style / *_error_policy
enum values up front, with a clear error message instead of a deep
crash inside the per-cell function.
- StandardizeOptions.from_file and DeduplicationConfig.from_file wrap
read + json.loads with descriptive OSError / ValueError messages
including the file path.
- standardize_date(month_locales=...) validates locale codes against
the available set instead of silently passing through unknown ones.
- io.read_file rejects chunk_size <= 0 (was silently failing inside
pandas) and logs the resolved suffix + chunk_size at info level so
data-pipeline runs are debuggable.
- io.read_file's FileNotFoundError gains explanatory context.
- io.write_file, text_clean.clean_dataframe, and dedup.deduplicate
now reject non-DataFrame inputs with clear TypeError instead of
cryptic pandas tracebacks downstream.
- dedup.deduplicate validates that survivor_rule=KEEP_MOST_RECENT has
a usable date_column up front; the helper _select_survivor now
raises (instead of silently falling back to keep_first) when called
directly with bad arguments.
- dedup.deduplicate gains a structured no-op return when strategies
is empty after auto-detection — preserves schema instead of crashing.
- analyze._detect_inconsistent_date_format narrows its bare except to
(TypeError, ValueError) and logs a debug line so genuine bugs don't
hide behind silent skip.
Tests:
- tests/test_audit_fixes.py grows by 11 cases covering the new
validation paths (chunk_size, DataFrame guards, KEEP_MOST_RECENT
date_column, enum validation, locale validation, JSON error wrapping).
Full project suite: 1208 passed, 4 skipped, 17 xfailed.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Michael
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