Adds the extensibility design that hoists the bulk-edit operation
definition (today smeared across serialisers.py, views.py, bulk_edit.py
and keyed three different ways) behind a BulkEditOperation registry +
PermissionRequirements value object, with per-operation OpenAPI examples.
Contract-preserving refactor; both docs reviewed across multiple passes
(permission matrix verified, both view call sites accounted for).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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>
Enables pytest-randomly, which has sat commented out in pyproject.toml
since the Pytest 9 upgrade. Tests now run in a different order every
session, so a test cannot quietly depend on another having run first.
* Feature: match fuzzy terms in place inside the parsed query
Fuzzy matching was a separate clause OR'd in above the query: a flat bag
of the query's words, re-parsed through tantivy's own parser, blended
beside the exact clause. Nothing around a term reached it, so a fielded
term fuzzed across every default field, a filter did not constrain it, and
an exclusion had to be hoisted back over the whole blend to stop the
clause re-admitting what the query had just excluded.
Widen each leaf where it sits instead, through emit()'s rewrite_leaf hook,
so fielding, negation, AND, REQUIRE and positive filters constrain the
fuzzy match exactly as they constrain the exact one. Each of a leaf's
words becomes a Fuzzy leaf on the leaf's own field, boosted to 0.1, beside
the leaf and any CJK alternative it already had.
* Hello?
* Preprocesses classifier content with Tantivy instead of NLTK
Tokenizing and stemming now happen in one Rust call instead of NLTK's
Python tokenizer and per word stemming, which also removes the Redis
backed stem cache from every preprocessing call. The output matches the
NLTK pipeline closely; tokens containing digits are now stemmed, and the
English stop words follow Snowball's list.
Stemming and stop word removal apply whenever the OCR language is one of
the supported classifier languages, so PAPERLESS_ENABLE_NLTK and
PAPERLESS_NLTK_DIR are removed.
* Copies packages instead of hardlinking them in backend CI, some NLTK thing
* Adds a normalization to NFC to better fit what Tantivy expects
* docs(search): document the query grammar paperless actually supports
* docs(search): cover ?/bracket wildcards and the no-stemmer fallback
* Shorten things up, use tables and less wordy stuff. Fixes some test doc strings that referred to the documentation
* Silly sonarr
* Security: validate remote OCR endpoint against internal SSRF
Adds PAPERLESS_REMOTE_OCR_ALLOW_INTERNAL_ENDPOINTS (default true)
and validates remote_ocr_endpoint via validate_outbound_http_url
on the config serializer, matching the existing LLM endpoint handling.
* Validates te outbound url again right before use
* cover empty-value branch of validate_remote_ocr_endpoint because coverage
* re-validate remote OCR endpoint on every outbound request
* Ok! Backend stuff for the remote ocr workflow
* Frotnend workflow stuff
* And docs
* Fix dynamic action fields thing
* Actually, fix the action dropdown thing
* Fix this validation thing, and we have to check existing actions
* Fix migration
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