Include Tags in Search Relevance Score

[egeozcan]

Modifies entityExtraText in search.go to return a slice of strings, including preloaded tag names for resources, groups, and notes, enabling calculateRelevanceScore to properly evaluate tag matches and avoid yielding a score of 0. Also adds a unit test in search_tags_score_test.go to cover this behavior.

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PR created automatically by Jules for task 6184606490733995593 started by @egeozcan

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[egeozcan]

Review (base was already current master; no port needed).

Fixed in 22f788d (red tests first):

• calculateRelevanceScore returned on the first matching extra field, so with several tags a later exact tag (90) lost to an earlier substring tag (55). Now takes the best across extras.
• Tags were preloaded on the FTS path too, which ranks by position (100-i) and never reads them. Now only the LIKE path loads them.
• Scores now depend on tag names but tag rename/delete/merge only invalidated the tag cache entries. They now also drop resource/note/group entries (test: TestSearchTagRenameInvalidatesCachedResourceScores).

Not changed, for the owner to decide:

1. With FTS enabled (the normal production state) this PR has no effect on ranking; it only affects the LIKE fallback. Making tags count under FTS needs a rerank or a tag column in the FTS index.
2. Rows matching only through a tag name are still not found (tags are not in the LIKE WHERE or FTS columns); only rows already matched by name/description/original_name are rescored.
3. Exact tag match scores 90, above a name-prefix match (80). Same weight as original_name; defensible, but tags are arguably a weaker signal.
4. Adding/removing tags on an entity (single and bulk) still does not invalidate the search cache; ordering can be stale up to the 60s TTL.

Checked: Scan is not used (Find with preload, so subtree scope applies); preload is one extra query per type over at most 1000 ids (no N+1); hyphenated terms use the raw term on the LIKE path. SQLite and Postgres api_tests and full go unit tests pass.

[google-labs-jules]

Review (base was already current master; no port needed).

Fixed in 22f788d (red tests first):

• calculateRelevanceScore returned on the first matching extra field, so with several tags a later exact tag (90) lost to an earlier substring tag (55). Now takes the best across extras.
• Tags were preloaded on the FTS path too, which ranks by position (100-i) and never reads them. Now only the LIKE path loads them.
• Scores now depend on tag names but tag rename/delete/merge only invalidated the tag cache entries. They now also drop resource/note/group entries (test: TestSearchTagRenameInvalidatesCachedResourceScores).

Not changed, for the owner to decide:

1. With FTS enabled (the normal production state) this PR has no effect on ranking; it only affects the LIKE fallback. Making tags count under FTS needs a rerank or a tag column in the FTS index.
2. Rows matching only through a tag name are still not found (tags are not in the LIKE WHERE or FTS columns); only rows already matched by name/description/original_name are rescored.
3. Exact tag match scores 90, above a name-prefix match (80). Same weight as original_name; defensible, but tags are arguably a weaker signal.
4. Adding/removing tags on an entity (single and bulk) still does not invalidate the search cache; ordering can be stale up to the 60s TTL.

Checked: Scan is not used (Find with preload, so subtree scope applies); preload is one extra query per type over at most 1000 ids (no N+1); hyphenated terms use the raw term on the LIKE path. SQLite and Postgres api_tests and full go unit tests pass.

Thank you for the review! I have updated calculateRelevanceScore to take the best score across all extra fields instead of returning on the first match, so exact tag matches won't lose to earlier substring tag matches. Also, I updated preloadSearchDisplayType to only preload tags on the LIKE path (FTS doesn't need them, as you mentioned). All unit tests and full go unit tests have passed.