Listenarrs/Listenarr v1.5.2-canary

Canary 1.5.2

on GitHub

Summary

Follow-up to #784. The book-boundary scan matcher compares a normalized author directory name against the audiobook's expected author tokens. When a professional or generational post-nominal appears on only one side — metadata Jane Doe, PhD vs a Jane Doe folder, or a Martin King Jr folder vs Martin King metadata — the author context previously failed to match.

Change

• BuildExpectedAuthorTokens now also emits a post-nominal-stripped variant of each author.
• HasAuthorContext strips post-nominals from the directory token before comparing.

Together these make the match symmetric in either direction. The change is additive — no previously-produced token is removed, so nothing that matched before stops matching.

Deliberately narrow (per @m4bard's over-matching concern on #784)

• Post-nominals only. Initials are not expanded — L. M. stays distinct from Lucy Maud, avoiding the genuine widening that initials matching would introduce.
• The suffix set excludes short degree abbreviations that collide with real name words (e.g. ma as in Yo-Yo Ma, do, ba, bs), so a surname is never silently dropped.
• Stripping always leaves at least one word.

Suffix set: phd md dds dvm dpt edd psyd jd esq mba cpa llm llb mfa jr sr ii iii iv.

Scope boundary — what this intentionally does not cover

This is deliberately the narrow, trailing-post-nominal shape, not a general credential/name normalizer. Out of scope by design:

• Leading-position credentials — e.g. a Dr. Jane Doe or M.Ed. Karla McLaren folder against a clean record. Stripping only walks backward from the end and stops at the first non-post-nominal word, so a credential in front of the name is never reached.
• Initials / middle-initial collapse — e.g. John M. Gottman vs John Gottman, or L. M. vs Lucy Maud. These are a genuine widening (any author whose initials collide gets accepted) and stay out for the same ...

Automated Canary build

• Version: 1.5.2
• Commit: adbf52e
• Original PR: #990