The A.M.B.A. STRIP_PATTERNS regex ended in a literal dot followed by
\b, but \b can't fire right after a non-word character when the next
char is also non-word (space/end-of-string) - so it never matched any
realistic company name. The sibling undotted 'amba' suffix stripped
fine, so 'Arla Foods A.M.B.A.' and 'Arla Foods amba' normalized to
different strings and scored 86 vs 100 against the same query.
Made the trailing dot optional so the boundary resolves correctly.
validate_data() accepted category values that are not {count?, index?}
objects. They slipped through to format_entry(), which then raised
AttributeError on a normal table lookup (or serialized a malformed shape
under --json). It also accepted duplicate company names silently.
- collect_validation_issues() now also flags a non-object category value
(and non-numeric count / non number-or-string index) as a hard error,
and duplicate company names as a warning.
- validate_data() keeps its eager-fail behavior (same messages), so
existing tests and load_data() are unchanged.
- --validate runs the checks standalone and prints an actionable report
(exit 1 on errors, 0 on warnings-only/clean), letting users pre-flight
their BYO salary_data.json.
Reproduced on master: validate_data({'companies':[{'company':'Acme',
'categories':{'eng':'not_a_dict'}}]}) returns without error, but
format_entry then raises AttributeError.
Co-authored-by: Tunic Assistant <assistant@tunic.local>
This commit improves the performance and consistency of the salary tools:
- Redundant query normalization and word extraction are eliminated in salary_lookup.py by pre-calculating representations once before the search loop.
- A match_score_optimized helper is introduced to perform the comparison using the pre-calculated query data, preserving full backward compatibility for match_score.
- Normalization in tools/convert_salary_excel.py is unified: paired column headers now consistently substitute spaces and dashes with underscores (e.g. 'software_engineering') to match the single-column formatting.
- Unit test coverage is significantly expanded in tests/test_salary_lookup.py and tests/test_convert_salary_excel.py to cover normalization, anglicization, search filtering, and matching behaviors.
Ritik Yadav