vulncheck
9cda754276
Tester uploaded a 45-row CIS workbench CSV and got 'imported 0,
skipped 45' with no hint why. Two improvements:
1) Parser robustness
- cis_id candidates expanded: cis_id, recommendation #, section #,
control id, ref, # etc. (case-insensitive matched)
- title/impact candidates expanded to common variants
- strict regex still tries first; on miss, loose extractor pulls the
first 'N.N.N' token from cells like 'Section 1.1.1 Ensure ...'
or 'L1 2.3.4.1 ...'
2) Diagnostic stats
import response now also includes:
detected_headers — every column header found in the CSV
id_column_used — which header matched a cis_id candidate
impact_column_used — which header matched an impact candidate
preview — first 3 skipped rows with reason + sample
Frontend alert shows this diagnose block whenever imported = 0,
so the operator can see exactly which column the CSV is missing
without poking around with curl.
If the CSV header is something we still don't recognise (e.g. German
'Empfehlung' instead of 'recommendation'), the operator will see
'ID column used: (none recognised)' + the actual headers — easy to
file a follow-up with the right alias.
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