Replace the search-error-shapes stub with a full design spec and a TDD
implementation plan for friendlier advanced-search error messages.
Empirically validated against a live Tantivy index: three error families
(UnknownFieldError, InvalidFieldValueError, MalformedQueryError),
proactive numeric validation plus a parse_query backstop, comparison
operators confirmed working, and a parse-based field drift guard.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Mirrors the existing short-circuit already present in its sibling class,
ObjectOwnedPermissionsFilter, which this one lacked.
Benchmarked as a superuser against a 100k-document corpus: no measurable
difference. django-guardian's own get_objects_for_user() (called via
super().filter_queryset()) already returns the queryset unrestricted for
superusers before this change, so the guardian permission tables were
never actually queried for superusers either way. This change only skips
building a redundant 3-way OR of conditions that are all subsets of the
already-unrestricted queryset -- worth keeping for clarity/consistency
with the sibling filter, not as a performance claim.
Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
DocumentViewSet.get_queryset() annotated num_notes via a LEFT JOIN to
documents_note plus Count(), which requires the database to aggregate
every matching document's note count before it can even sort or paginate
the result -- on every list request, not just filtered ones.
Switched to the same correlated-subquery pattern already used two lines
above for effective_content (Subquery + OuterRef), which Django compiles
to portable SQL across sqlite/postgresql/mariadb rather than a join-based
aggregate.
Benchmarked against a 100k synthetic document corpus (Postgres): the
plain document list request dropped from ~2.2-2.4s to ~0.9-1.0s. Note
that a separate, larger cost remains in the same queryset's plain
.distinct() call, which still forces a full sort over every matching
row regardless of this fix -- tracked separately, not addressed here.
Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
apply_assignment_to_document() mutated tags directly on the shared document instance via add_nested_tags(), whose m2m_changed signal triggers update_filename_and_move_files() -> instance.refresh_from_db(), discarding any not-yet-saved fields (e.g. storage_path) staged by an earlier-ordered action in the same workflow. Apply tag changes to a freshly-fetched instance instead, matching the pattern already used in apply_removal_to_document().
Adds indexes on Document.checksum, Document.page_count, and a composite
(owner, created) index on Document, plus composite (field, value_*)
indexes on CustomFieldInstance for each typed value column.
Benchmarked against a 100k-document / 200k-custom-field-instance SQLite
dataset: Document.checksum lookups ~69x faster, page_count sort ~40x,
owner+created list queries ~6x. CustomFieldInstance composite indexes
show large gains (10-24x) on realistic narrow-selectivity queries
matching the workflow scheduler and custom-field search code paths.
Django's condition() decorator invokes etag_func and last_modified_func
separately, and the view itself may resolve again -- each call to
resolve_effective_document_by_pk() was redoing the same root/version
DB lookups. Memoize the resolution on the request object so a single
thumb/metadata/preview request resolves the effective document once
instead of up to three times.
Related to paperless-ngx/paperless-ngx#13161.
Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>