bookhoard/AGENTS.md

AGENTS.md — Bookhoard server

Standing rules for any agent or developer working in this repo. Project-wide context lives in the sibling repos' AGENTS.md files (../bookhoard-app/AGENTS.md is the Android client's).

Library visibility (family-lens rule) — ALWAYS apply

Per-user library visibility (library_visibility table, default-ALLOW: every user sees every library unless an admin hides one) must be enforced on every endpoint that returns media metadata or content. It is NOT automatic — enforcement is per-handler.

• New endpoints that list/filter media or series MUST filter by the requesting user's visible-library set, and MUST reject an explicit library_id outside that set with 403 (never silently pass).
• Helpers (do not hand-roll):
  • handlers: (*MediaHandler).visibleLibrarySet / (*SeriesHandler).visibleLibrarySet — membership map + id slice.
  • router: visibleLibraryIDsFor — same for SSR routes.
  • resolveLibrary (helpers.go) only honors requested library ids inside the visible set.
• SQL pattern: AND (sqlc.narg('visible_library_ids')::uuid[] IS NULL OR library_id = ANY(sqlc.narg('visible_library_ids')::uuid[])) — see ListMediaItems, GetDistinctSeries, SearchMediaItems.
• Content endpoints (file bytes, page images) additionally gate per item like ReaderHandler.ensureItemVisible / the download endpoint.
• Tests must pin visibility: hidden library → 403 on the endpoint, and absent from unscoped aggregates.

History: 2026-10-13 (431fec0) the series/media listing surfaces leaked hidden libraries to any authenticated account — series endpoints were name-only across ALL libraries. Fixed; do not regress.

Tests

• Use setupTestServer() from cmd/server/tests/test_helpers_test.go (see the Conventions section below for the pool/cleanup rules).
• Integration tests run against the SHARED dev database: never write destructive SQL without preserving the dev rows (libraries Manga/ Comics/Ebooks, testuser's annotations and progress are real data).
• Test-created users must use @tests.bookhoard.internal or @example.com emails and "test"-named collections/libraries so the harness cleanup can find them.
• NEVER rename or edit the shared admin (testuser) in tests — a renamed admin escapes the cleanup preserve-list and cascades real data (this wiped the dev annotations once; see user_test.go TestUpdateProfileSelfEdit for the dedicated-user pattern).
• testuser is a LIVE reader: the dev account genuinely reads in the web reader while the suite runs, so reading_history / reading_progress rows accrue on it mid-test. Exact-total assertions against that account flap (three stats/analytics tests broke on 2026-10-14 within hours of session capture shipping). Tests that need deterministic data use setup.RegularToken + getRegularUserID (the fresh per-test user), or assert ranges instead of equals.

Timezones

• The server owns display conversion: clients send instants (RFC3339), the server renders in the requesting user's timezone.
• Use utils.FormatTimeInTimezone / utils.UserLocation — never time.Now().Format(...) bare (that is server-UTC).
• Analytics day-buckets must bucket in the user's timezone (CreatedAt.In(loc)), and date-range end bounds must be end-of-day.

Known gotchas (do not relearn)

1. templ does NOT interpolate { expr } inside quoted attribute values — it emits the literal text. x-init="f('{ col.ID }')" shipped a request to /api/collections/{ collection.ID } found by the request logs; the whole attribute value must BE an expression: x-init={ "f('" + col.ID + "')" }. Note class="theme-{ user.Theme }" has always been literal (harmlessly masked by the JS theme engine).
2. SettingsRegistry caches: writes must go through the settings API (Reload on save). Direct SQL writes to system_settings leave the cache stale until the next API-path write — never "preview" rule changes via psql and expect them applied (2026-10-14: a live curl test flip looked ignored until the API path was used).
3. User collections are not dashboard sections: nothing sets collection show_on_dashboard for user rows, and GetDashboardSections skips empty user sections. Collection detail (JSON + SSR) must NOT route user rows through the dashboard-section path — a 7ce7321 regression did exactly that (static detail without library_id returned zero books until 0a7fbd6). Only real system query types (continue-reading etc.) route there; query_type='filter' is the schema DEFAULT on every user row, not a query type.
4. End-of-day arithmetic: anchor the END bound to the START of the day, never to NOW(). now.AddDate(0,0,1) − 1ns carries this instant's clock time into tomorrow — a range "ending today" resolves tomorrow's calendar date and today's rows land in yesterday's bucket (found twice now: analytics 1601548 and stats 2026-10-14). Same trap, two deaths.
5. Test binaries run against the LIVE dev DB: hand-probes made in psql during debugging (seed rows, fake sessions) will silently pollute the next integration run — DELETE them when done (this burned the first stats suite run: a stray 30-min probe row shipped a phantom "185 minutes" failure).
6. SaveProgressRequest.DeviceID is NOT always a device: the web/app progress paths have historically stuffed the USER id into it (it only fed a broadcast label before stats). Anything that dereferences it (reading_history device_id FK, device joins) must probe DeviceExistsForUser first — stats capture does.

Conventions (absorbed from the retired PROJECT_GUIDELINES.md —

only the rules that still matched reality)

• Runtime is Docker (Makefile auto-detects docker, falls back to podman). The old "podman only" rule is dead.
• The server binary is only built inside the Docker build (make rebuild-app); host-side Go builds are for tests/vet only.
• Schema changes go in place — edit database/schema/schema.sql, never create migration files, until a release splits them.
• Business logic lives in services, not handlers; handlers parse requests and call services (all DB access goes through services).
• Integration tests: one setupTestServer() per test function; test pools use max_conns=1; never create a pgxpool per subtest (connection exhaustion); use t.Cleanup()-based helpers; table-driven subtests over duplicate functions.