The old model hard-deleted system collections and re-created them at
the tail, resurrecting stale dedups and breaking ordering. Redesign
(user-directed B-final):
- schema.sql: collections.deleted_at TIMESTAMPTZ (idempotent ALTER —
the whole schema is re-applied on every boot via executeSchema).
- queries.sql: every collection list/read query filters
deleted_at IS NULL; new GetSystemCollectionByQueryType :one
(unfiltered, sees tombstones), TombstoneSystemCollection :exec,
ClearCollectionItems :exec, RestoreSystemCollectionRow :one
(in-place metadata reset + un-tombstone; collections have no
updated_at column — ResetUpdatedAt was a 500 caught by tests).
sqlc regenerated.
- collection_service.DeleteCollection: system collections are
tombstoned (preserving position/ownership); user collections keep
the hard delete. No ErrNoRows to the client (delete is idempotent).
- dashboard_service.RestoreSystemCollection: resolve by query_type;
found → in-place restore (ClearCollectionItems + metadata reset,
un-tombstoned); missing → provision fresh. "Want to Read"/etc.
stay at their home positions forever.
- handlers/collections.CreateCollection: name-taken is 409, not 500.
- handlers/auth.CreateDefaultCollectionsForUser: idempotent by
(user_id, query_type) — update-in-place when a row for that query
type exists (heals renames/tombstones), insert when missing; this
also fixes the duplicate-system-collections regression at source.
Apply Go 1.18+ language features and modern style:
internal/services/collection_service.go:
- Use map[string]any instead of map[string]interface{} (Go 1.18+)
- Use range clause with single variable for iteration-only loops
- Replace if-else chains with switch statements for better readability
- Remove explicit type initialization for zero values
internal/services/filters.go:
- Add Err prefix to custom error variable for error naming convention
internal/router/library.go:
- Use cfg.ProcessingIssuesHandler instead of local processingIssuesHandler variable
- Ensures proper dependency injection through router config
These changes follow current Go best practices and improve code readability.
Convert tags and contributors columns from comma-separated strings to PostgreSQL
TEXT[] arrays for better data normalization and query performance.
Database Changes:
- schema.sql: Change tags/contributors from TEXT to TEXT[]
- schema.sql: Add GIN indexes for fast array searches
- queries.sql: Update search queries to use ANY() operator
- queries.sql: Update fuzzy search with unnest() for arrays
Generated Code (sqlc):
- models.go: Auto-generated with []string types for tags/contributors
- queries.sql.go: Auto-generated with proper array handling
Handler Changes:
- media.go: Update request structs to use []string for tags/contributors
- media.go: Remove pgtype.Text wrapping, use direct array assignment
- media.go: Add tag normalization in CreateMediaItemHandler
- collections.go: Update tags evaluation to join arrays for comparison
- collections.go: Add strings import for Join() function
Service Changes:
- ebook_scanner.go: Update EbookMetadata struct to use []string
- ebook_scanner.go: Remove string Join(), assign arrays directly
- collection_service.go: Update tags rule evaluation to join arrays
- collection_service.go: Add strings import
New Utilities:
- internal/utils/tags.go: Create NormalizeTags(), JoinTags(), SplitTags()
- Normalizes tags by trimming, lowercasing, removing duplicates/empties
API Documentation:
- bruno/media-items/Create Media Item.bru: Update examples to use arrays
- bruno/media-items/Update Media Item.bru: Update examples to use arrays
- Update docs: tags/contributors now array of string
Breaking Change:
- JSON format changes from "tags": "tag1,tag2" to "tags": ["tag1", "tag2"]
- Tests already use array format (no changes needed)
Benefits:
- GIN indexes enable faster array searches
- Normalization prevents data quality issues (case, duplicates)
- Array operations use PostgreSQL native operators (ANY, &&, unnest)
- Better separation of concerns (no string parsing in application)
- Add book matching service for intelligent book deduplication
- Add collection service for collection management
- Add test files for book matching and collections