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Author SHA1 Message Date
Trenton HandGitHub c1f913da3a Merge branch 'beta' into feature-beta-squash-migrations 2026-07-17 13:45:18 -07:00
Trenton HandGitHub 255c214d0b Fix: avoid HAVING clause conflicts in custom field query filter on MariaDB (#13143) 2026-07-17 13:44:58 -07:00
Trenton HandGitHub 5cd61f4ec2 Merge branch 'beta' into feature-beta-squash-migrations 2026-07-17 12:02:31 -07:00
Trenton HandGitHub a0ab05a9a6 Chore: Upgrade more vulerable packages (#13020)
* Few more before

* Bump django to 5.2.16

* Bump daphne to 4.2.2

* Bump transformers to 5.13.1

* Bump nltk to 3.10.0
2026-07-17 12:01:30 -07:00
df1ddb15cc Performance: Tantivy indexing optimization (#13053)
* Tantivy: get permissions by chunks

-40% indexing time compared to previous commit

* Make progress bar process one by one with chunk

-15% indexing time compared to previous commit

* Prefetch FK + iterate over chunk from SQL

Prefetch additional needed data (note user, custom field content)

-20% indexing time compared to previous commit

* Reindex: increase Tantivy heap size from 128 to 512MB

Gains probably vary depending on the machine,
but it seems a sweet spot compatible with low-end hardware.

* Reindex: optimization on permission fetching and autocomplete word set

-10% indexing time compared to previous commit

* Autocomplete analyzer python->rust

Splits words with underscore compared to the python analyzer.
E.g.: "blue_print" -> ["blue", "print"]
It can still be found with the "blue_print" keyword,
as the search string is also split in two words.

-50% indexing time compared to previous commit (indexing is twice faster!)

* Index bigram for CJK content only

Inedxing time slightly longer (~3%),
but since the non-CJK content is not indexed,
bigram searchs will be slightly optimized.

* Fix group-based view_document permissions missing from bulk rebuild

_bulk_get_viewer_ids only queried UserObjectPermission, dropping the
group-permission expansion that get_users_with_perms(with_group_users=True)
performs for the non-batched per-document indexing path. A user who could
only see a document via group membership would lose search access to it
after any full reindex.

Also query GroupObjectPermission and expand group membership to user ids,
matching the existing single-document behavior.

* Yield (document, viewer_ids) pairs from _DocumentViewerStream

Previously _DocumentViewerStream.__iter__ yielded plain Document objects
while the matching viewer ids were exposed through a separate mutable
attribute (viewer_ids_by_pk), overwritten each time the generator crossed
a chunk boundary. rebuild() read that attribute out-of-band per document.

This only worked because the current iter_wrapper (a plain progress-bar
passthrough) happens to consume the stream in strict lock-step with no
lookahead. Any wrapper that buffers, batches, or reorders would silently
pair a document with the wrong chunk's viewer ids. Yield the pair directly
so the association travels with the document regardless of how iter_wrapper
consumes the stream, and drop the now-unneeded viewer_ids_by_pk attribute.

* Add --heap-size-mb CLI arg to document_index reindex

writer_heap_bytes was hardcoded at 512MB with no way to tune it. Expose it
as a manual-rebuild-only CLI arg rather than a settings/env var, per review
feedback, so lower-memory hosts can reduce it without a wider config
surface. Defaults to unset so TantivyBackend.rebuild's own default stays
the single source of truth.

---------

Co-authored-by: stumpylog <797416+stumpylog@users.noreply.github.com>
2026-07-17 11:33:09 -07:00
stumpylog 5446b7c97a Accounts for the 0013 migration 2026-07-16 08:49:13 -07:00
stumpylog b7b332af3a Squashes migrations in prep for final release 2026-07-16 08:49:13 -07:00
15 changed files with 1388 additions and 195 deletions
+2 -2
View File
@@ -16,7 +16,7 @@ classifiers = [
dependencies = [
"azure-ai-documentintelligence>=1.0.2",
"babel>=2.17",
"bleach~=6.3.0",
"bleach~=6.4.0",
"celery[redis]~=5.6.2",
"channels~=4.2",
"channels-redis~=4.2",
@@ -56,7 +56,7 @@ dependencies = [
"llama-index-embeddings-openai-like>=0.2.2",
"llama-index-llms-ollama>=0.9.1",
"llama-index-llms-openai-like>=0.7.1",
"nltk~=3.9.1",
"nltk~=3.10.0",
"ocrmypdf~=17.4.2",
"openai>=2.32",
"pathvalidate~=3.3.1",
+8 -1
View File
@@ -771,7 +771,14 @@ class CustomFieldQueryFilter(Filter):
)
q, annotations = parser.parse(value)
return qs.annotate(**annotations).filter(q)
# The Count(...) annotations above require a GROUP BY/HAVING to evaluate.
# Applying them directly to `qs` mixes that HAVING with `qs`'s existing
# joins (e.g. repeated tag joins from tags__id__all, the object-permission
# OR-filter), which some backends (e.g. MariaDB) fail to plan correctly,
# raising "Unknown column ... in 'HAVING'". Evaluating the annotation on
# an isolated queryset keeps the GROUP BY/HAVING self-contained.
matching_ids = Document.objects.annotate(**annotations).filter(q).values("pk")
return qs.filter(pk__in=matching_ids)
class DocumentFilterSet(FilterSet):
@@ -45,6 +45,18 @@ class Command(PaperlessCommand):
"Safe to run on every startup or upgrade."
),
)
parser.add_argument(
"--heap-size-mb",
type=int,
default=None,
help=(
"Tantivy writer memory budget in MB for a full reindex "
"(split across writer threads). Defaults to 512MB; lower "
"this on memory-constrained hosts. Larger values buffer "
"more documents before flushing a segment, deferring "
"merge work rather than avoiding it."
),
)
def handle(self, *args, **options):
with transaction.atomic():
@@ -60,13 +72,26 @@ class Command(PaperlessCommand):
"document_type",
"storage_path",
"owner",
).prefetch_related("tags", "notes", "custom_fields", "versions")
).prefetch_related(
"tags",
"notes__user",
"custom_fields__field",
"versions",
)
total = documents.count()
rebuild_kwargs = {}
if options.get("heap_size_mb") is not None:
rebuild_kwargs["writer_heap_bytes"] = (
options["heap_size_mb"] * 1_000_000
)
get_backend().rebuild(
documents,
iter_wrapper=lambda docs: self.track(
docs,
iter_wrapper=lambda pairs: self.track(
pairs,
description="Indexing documents...",
total=total,
),
**rebuild_kwargs,
)
reset_backend()
@@ -0,0 +1,63 @@
# Generated by Django 5.2.14 on 2026-06-04 15:31
from django.db import migrations
from django.db import models
class Migration(migrations.Migration):
replaces = [
("documents", "0003_remove_document_storage_type"),
("documents", "0004_workflowtrigger_filter_has_any_correspondents_and_more"),
("documents", "0005_alter_document_checksum_unique"),
]
dependencies = [
("documents", "0002_squashed"),
]
operations = [
migrations.RemoveField(
model_name="document",
name="storage_type",
),
migrations.AddField(
model_name="workflowtrigger",
name="filter_has_any_correspondents",
field=models.ManyToManyField(
blank=True,
related_name="workflowtriggers_has_any_correspondent",
to="documents.correspondent",
verbose_name="has one of these correspondents",
),
),
migrations.AddField(
model_name="workflowtrigger",
name="filter_has_any_document_types",
field=models.ManyToManyField(
blank=True,
related_name="workflowtriggers_has_any_document_type",
to="documents.documenttype",
verbose_name="has one of these document types",
),
),
migrations.AddField(
model_name="workflowtrigger",
name="filter_has_any_storage_paths",
field=models.ManyToManyField(
blank=True,
related_name="workflowtriggers_has_any_storage_path",
to="documents.storagepath",
verbose_name="has one of these storage paths",
),
),
migrations.AlterField(
model_name="document",
name="checksum",
field=models.CharField(
editable=False,
help_text="The checksum of the original document.",
max_length=32,
verbose_name="checksum",
),
),
]
@@ -0,0 +1,252 @@
# Generated by Django 5.2.14 on 2026-06-04 15:31
import django.db.models.deletion
import django.db.models.functions.text
from django.db import migrations
from django.db import models
class Migration(migrations.Migration):
replaces = [
("documents", "0008_workflowaction_passwords_alter_workflowaction_type"),
("documents", "0009_alter_document_content_length"),
("documents", "0010_optimize_integer_field_sizes"),
("documents", "0011_alter_workflowaction_type"),
("documents", "0012_document_root_document"),
]
dependencies = [
("documents", "0007_sharelinkbundle"),
]
operations = [
migrations.AddField(
model_name="workflowaction",
name="passwords",
field=models.JSONField(
blank=True,
help_text="Passwords to try when removing PDF protection. Separate with commas or new lines.",
null=True,
verbose_name="passwords",
),
),
migrations.AlterField(
model_name="document",
name="content_length",
field=models.GeneratedField(
db_persist=True,
expression=django.db.models.functions.text.Length("content"),
help_text="Length of the content field in characters. Automatically maintained by the database for faster statistics computation.",
output_field=models.PositiveIntegerField(default=0),
serialize=False,
),
),
migrations.AlterField(
model_name="correspondent",
name="matching_algorithm",
field=models.PositiveSmallIntegerField(
choices=[
(0, "None"),
(1, "Any word"),
(2, "All words"),
(3, "Exact match"),
(4, "Regular expression"),
(5, "Fuzzy word"),
(6, "Automatic"),
],
default=1,
verbose_name="matching algorithm",
),
),
migrations.AlterField(
model_name="documenttype",
name="matching_algorithm",
field=models.PositiveSmallIntegerField(
choices=[
(0, "None"),
(1, "Any word"),
(2, "All words"),
(3, "Exact match"),
(4, "Regular expression"),
(5, "Fuzzy word"),
(6, "Automatic"),
],
default=1,
verbose_name="matching algorithm",
),
),
migrations.AlterField(
model_name="savedviewfilterrule",
name="rule_type",
field=models.PositiveSmallIntegerField(
choices=[
(0, "title contains"),
(1, "content contains"),
(2, "ASN is"),
(3, "correspondent is"),
(4, "document type is"),
(5, "is in inbox"),
(6, "has tag"),
(7, "has any tag"),
(8, "created before"),
(9, "created after"),
(10, "created year is"),
(11, "created month is"),
(12, "created day is"),
(13, "added before"),
(14, "added after"),
(15, "modified before"),
(16, "modified after"),
(17, "does not have tag"),
(18, "does not have ASN"),
(19, "title or content contains"),
(20, "fulltext query"),
(21, "more like this"),
(22, "has tags in"),
(23, "ASN greater than"),
(24, "ASN less than"),
(25, "storage path is"),
(26, "has correspondent in"),
(27, "does not have correspondent in"),
(28, "has document type in"),
(29, "does not have document type in"),
(30, "has storage path in"),
(31, "does not have storage path in"),
(32, "owner is"),
(33, "has owner in"),
(34, "does not have owner"),
(35, "does not have owner in"),
(36, "has custom field value"),
(37, "is shared by me"),
(38, "has custom fields"),
(39, "has custom field in"),
(40, "does not have custom field in"),
(41, "does not have custom field"),
(42, "custom fields query"),
(43, "created to"),
(44, "created from"),
(45, "added to"),
(46, "added from"),
(47, "mime type is"),
],
verbose_name="rule type",
),
),
migrations.AlterField(
model_name="storagepath",
name="matching_algorithm",
field=models.PositiveSmallIntegerField(
choices=[
(0, "None"),
(1, "Any word"),
(2, "All words"),
(3, "Exact match"),
(4, "Regular expression"),
(5, "Fuzzy word"),
(6, "Automatic"),
],
default=1,
verbose_name="matching algorithm",
),
),
migrations.AlterField(
model_name="tag",
name="matching_algorithm",
field=models.PositiveSmallIntegerField(
choices=[
(0, "None"),
(1, "Any word"),
(2, "All words"),
(3, "Exact match"),
(4, "Regular expression"),
(5, "Fuzzy word"),
(6, "Automatic"),
],
default=1,
verbose_name="matching algorithm",
),
),
migrations.AlterField(
model_name="workflowrun",
name="type",
field=models.PositiveSmallIntegerField(
choices=[
(1, "Consumption Started"),
(2, "Document Added"),
(3, "Document Updated"),
(4, "Scheduled"),
],
null=True,
verbose_name="workflow trigger type",
),
),
migrations.AlterField(
model_name="workflowtrigger",
name="matching_algorithm",
field=models.PositiveSmallIntegerField(
choices=[
(0, "None"),
(1, "Any word"),
(2, "All words"),
(3, "Exact match"),
(4, "Regular expression"),
(5, "Fuzzy word"),
],
default=0,
verbose_name="matching algorithm",
),
),
migrations.AlterField(
model_name="workflowtrigger",
name="type",
field=models.PositiveSmallIntegerField(
choices=[
(1, "Consumption Started"),
(2, "Document Added"),
(3, "Document Updated"),
(4, "Scheduled"),
],
default=1,
verbose_name="Workflow Trigger Type",
),
),
migrations.AlterField(
model_name="workflowaction",
name="type",
field=models.PositiveSmallIntegerField(
choices=[
(1, "Assignment"),
(2, "Removal"),
(3, "Email"),
(4, "Webhook"),
(5, "Password removal"),
(6, "Move to trash"),
],
default=1,
verbose_name="Workflow Action Type",
),
),
migrations.AddField(
model_name="document",
name="root_document",
field=models.ForeignKey(
blank=True,
null=True,
on_delete=django.db.models.deletion.CASCADE,
related_name="versions",
to="documents.document",
verbose_name="root document for this version",
),
),
migrations.AddField(
model_name="document",
name="version_label",
field=models.CharField(
blank=True,
help_text="Optional short label for a document version.",
max_length=64,
null=True,
verbose_name="version label",
),
),
]
+140 -36
View File
@@ -8,6 +8,7 @@ import time
from datetime import UTC
from datetime import datetime
from enum import StrEnum
from itertools import islice
from typing import TYPE_CHECKING
from typing import Final
from typing import Self
@@ -16,13 +17,14 @@ from typing import TypeVar
from typing import cast
import filelock
import regex
import tantivy
from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from django.utils.timezone import get_current_timezone
from guardian.shortcuts import get_users_with_perms
from documents.search._query import build_permission_filter
from documents.search._query import extract_cjk_text
from documents.search._query import parse_simple_text_highlight_query
from documents.search._query import parse_simple_text_query
from documents.search._query import parse_simple_title_query
@@ -32,11 +34,14 @@ from documents.search._schema import build_schema
from documents.search._schema import open_or_rebuild_index
from documents.search._schema import wipe_index
from documents.search._tokenizer import ascii_fold
from documents.search._tokenizer import autocomplete_tokens
from documents.search._tokenizer import register_tokenizers
from documents.utils import IterWrapper
from documents.utils import identity
if TYPE_CHECKING:
from collections.abc import Iterator
from collections.abc import Sequence
from pathlib import Path
from django.contrib.auth.models import AbstractUser
@@ -51,9 +56,6 @@ _LOCK_RETRY_ATTEMPTS: Final[int] = 4 # total attempts (1 initial + 3 retries)
_LOCK_BACKOFF_BASE: Final[float] = 1.0 # seconds
_LOCK_BACKOFF_CAP: Final[float] = 10.0 # seconds
_WORD_RE = regex.compile(r"\w+")
_AUTOCOMPLETE_REGEX_TIMEOUT = 1.0 # seconds; guards against ReDoS on untrusted content
T = TypeVar("T")
@@ -66,25 +68,16 @@ class SearchMode(StrEnum):
def _extract_autocomplete_words(text_sources: list[str]) -> set[str]:
"""Extract and normalize words for autocomplete.
Splits on non-word characters (matching Tantivy's simple tokenizer), lowercases,
and ascii-folds each token. Uses the regex library with a timeout to guard against
ReDoS on untrusted document content.
Tokenizes with Tantivy's simple analyzer (simple -> lowercase -> ascii_fold)
so the extracted words match how document content is indexed, and runs the
whole pass in Rust. This replaces a Python regex scan plus per-token folding,
which dominated full-reindex CPU time. Tokenizing natively also removes the
ReDoS exposure of running a regex over untrusted content.
"""
words = set()
for text in text_sources:
if not text:
continue
try:
tokens = _WORD_RE.findall(text, timeout=_AUTOCOMPLETE_REGEX_TIMEOUT)
except TimeoutError: # pragma: no cover
logger.warning(
"Autocomplete word extraction timed out for a text source; skipping.",
)
continue
for token in tokens:
normalized = ascii_fold(token.lower())
if normalized:
words.add(normalized)
if text:
words.update(autocomplete_tokens(text))
return words
@@ -387,6 +380,7 @@ class TantivyBackend:
self,
document: Document,
effective_content: str | None = None,
viewer_ids: list[int] | None = None,
) -> tantivy.Document:
"""Build a tantivy Document from a Django Document instance.
@@ -405,10 +399,14 @@ class TantivyBackend:
doc.add_text("title", document.title)
doc.add_text("title_sort", document.title)
doc.add_text("simple_title", document.title)
doc.add_text("bigram_title", document.title)
doc.add_text("content", content)
doc.add_text("bigram_content", content)
doc.add_text("simple_content", content)
# Bigram (character-ngram) fields exist for CJK substring search,
# no need to bloat the bigram index with latin characters.
if cjk_title := extract_cjk_text(document.title):
doc.add_text("bigram_title", cjk_title)
if content and (cjk_content := extract_cjk_text(content)):
doc.add_text("bigram_content", cjk_content)
# Original filename - only add if not None/empty
if document.original_filename:
@@ -418,14 +416,16 @@ class TantivyBackend:
if document.correspondent:
doc.add_text("correspondent", document.correspondent.name)
doc.add_text("correspondent_sort", document.correspondent.name)
doc.add_text("bigram_correspondent", document.correspondent.name)
if cjk_corr := extract_cjk_text(document.correspondent.name):
doc.add_text("bigram_correspondent", cjk_corr)
doc.add_unsigned("correspondent_id", document.correspondent_id)
# Document type
if document.document_type:
doc.add_text("document_type", document.document_type.name)
doc.add_text("type_sort", document.document_type.name)
doc.add_text("bigram_document_type", document.document_type.name)
if cjk_type := extract_cjk_text(document.document_type.name):
doc.add_text("bigram_document_type", cjk_type)
doc.add_unsigned("document_type_id", document.document_type_id)
# Storage path
@@ -437,7 +437,8 @@ class TantivyBackend:
tag_names: list[str] = []
for tag in document.tags.all():
doc.add_text("tag", tag.name)
doc.add_text("bigram_tag", tag.name)
if cjk_tag := extract_cjk_text(tag.name):
doc.add_text("bigram_tag", cjk_tag)
doc.add_unsigned("tag_id", tag.pk)
tag_names.append(tag.name)
@@ -492,12 +493,14 @@ class TantivyBackend:
doc.add_unsigned("owner_id", document.owner_id)
# Viewers with permission
users_with_perms = get_users_with_perms(
document,
only_with_perms_in=["view_document"],
)
for user in users_with_perms:
doc.add_unsigned("viewer_id", user.pk)
if viewer_ids is None:
users_with_perms = get_users_with_perms(
document,
only_with_perms_in=["view_document"],
)
viewer_ids = [int(u.id) for u in users_with_perms]
for viewer_id in viewer_ids:
doc.add_unsigned("viewer_id", viewer_id)
# Autocomplete words
text_sources = [document.title, content]
@@ -912,7 +915,8 @@ class TantivyBackend:
def rebuild(
self,
documents: QuerySet[Document],
iter_wrapper: IterWrapper[Document] = identity,
iter_wrapper: IterWrapper[tuple[Document, list[int]]] = identity,
writer_heap_bytes: int = 512_000_000,
) -> None:
"""
Rebuild the entire search index from scratch.
@@ -923,7 +927,12 @@ class TantivyBackend:
Args:
documents: QuerySet of Document instances to index
iter_wrapper: Optional wrapper function for progress tracking
(e.g., progress bar). Should yield each document unchanged.
(e.g., progress bar). Wraps an iterable of
``(document, viewer_ids)`` pairs and should yield each pair
unchanged, advancing one step per document.
writer_heap_bytes: Tantivy writer memory budget (split across the
writer's threads). Larger values buffer more docs in RAM before
flushing a segment, deferring merge work; they do not avoid it.
"""
# Create new index (on-disk or in-memory)
if self._path is not None:
@@ -938,13 +947,17 @@ class TantivyBackend:
old_index, old_schema = self._raw_index, self._raw_schema
self._raw_index = new_index
self._raw_schema = new_index.schema
# Stream documents one-by-one (so the progress bar advances per
# document) while fetching viewer permissions one SQL query per chunk.
# The stream is Sized, so iter_wrapper can still discover the total.
documents_stream = _DocumentViewerStream(documents, chunk_size=1000)
try:
writer = new_index.writer()
for document in iter_wrapper(documents):
writer = new_index.writer(heap_size=writer_heap_bytes)
for document, viewer_ids in iter_wrapper(documents_stream):
doc = self._build_tantivy_doc(
document,
document.get_effective_content(),
viewer_ids=viewer_ids,
)
writer.add_document(doc)
writer.commit()
@@ -959,6 +972,97 @@ class TantivyBackend:
raise
def chunked(iterable, size):
iterator = iter(iterable)
while chunk := list(islice(iterator, size)):
yield chunk
class _DocumentViewerStream:
"""Yield (document, viewer_ids) pairs while batch-loading viewer ids.
Viewer permissions are fetched one SQL query per chunk (see
``_bulk_get_viewer_ids``), but documents are yielded individually so a
progress bar wrapped around this stream advances per document rather than
jumping a whole chunk at a time. ``__len__`` lets the progress helper still
discover the total (it inspects ``QuerySet``/``Sized``).
The viewer ids travel with each document in the yielded pair rather than
through a separate mutable attribute, so the pairing survives regardless
of how ``iter_wrapper`` consumes the stream (buffering, batching, etc.) —
there is no reliance on the caller advancing this generator in lock-step.
"""
def __init__(self, documents: QuerySet[Document], *, chunk_size: int) -> None:
self._documents = documents
self._chunk_size = chunk_size
def __len__(self) -> int:
return self._documents.count()
def __iter__(self) -> Iterator[tuple[Document, list[int]]]:
# iterator(chunk_size=…) streams from a server-side cursor instead of
# materialising the whole queryset in memory; since Django 4.1 it still
# honours prefetch_related, running the prefetches one batch at a time.
documents = self._documents.iterator(chunk_size=self._chunk_size)
for chunk in chunked(documents, self._chunk_size):
viewer_ids_by_pk = _bulk_get_viewer_ids([doc.pk for doc in chunk])
for doc in chunk:
yield doc, viewer_ids_by_pk.get(doc.pk, [])
def _bulk_get_viewer_ids(doc_pks: Sequence[int]) -> dict[int, list[int]]:
"""Fetch all view_document permissions for a batch of documents in one query.
Mirrors get_users_with_perms(doc, only_with_perms_in=["view_document"])
(with_group_users defaults to True there): a user counts as a viewer if
they hold the permission directly, OR via membership in a group that
holds the permission. Missing the group case would silently drop search
access for group-only viewers.
"""
from collections import defaultdict
from guardian.models import GroupObjectPermission
from guardian.models import UserObjectPermission
from documents.models import Document
# get_for_model is cached by Django, so this costs at most one query total.
ct = ContentType.objects.get_for_model(Document)
str_pks = [str(pk) for pk in doc_pks]
viewer_map: dict[int, set[int]] = defaultdict(set)
# Fold the permission lookup into the query via a join on codename instead
# of a separate Permission.objects.get(), which would otherwise run once per
# chunk during a full reindex.
user_qs = UserObjectPermission.objects.filter(
content_type=ct,
permission__content_type=ct,
permission__codename="view_document",
object_pk__in=str_pks,
).values_list("object_pk", "user_id")
for object_pk, user_id in user_qs:
viewer_map[int(object_pk)].add(user_id)
# User.groups has related_query_name="user", so group__user__id joins
# through the group membership m2m to the member users' ids in the same
# single-query fashion as user_qs above (values_list compiles to one SQL
# JOIN; no per-row Python-side lookups follow, so select_related /
# prefetch_related do not apply here).
group_qs = GroupObjectPermission.objects.filter(
content_type=ct,
permission__content_type=ct,
permission__codename="view_document",
object_pk__in=str_pks,
).values_list("object_pk", "group__user__id")
for object_pk, user_id in group_qs:
if user_id is not None:
viewer_map[int(object_pk)].add(user_id)
return {object_pk: list(user_ids) for object_pk, user_ids in viewer_map.items()}
# Module-level singleton with proper thread safety
_backend: TantivyBackend | None = None
_backend_path: Path | None = None # tracks which INDEX_DIR the singleton uses
+11
View File
@@ -40,6 +40,17 @@ def _has_cjk(text: str) -> bool:
return bool(_CJK_RE.search(text))
def extract_cjk_text(text: str) -> str:
"""Join the CJK runs in ``text`` for indexing into bigram (char-ngram) fields.
Mirrors the query side (``_build_cjk_query``): only CJK runs are ever searched
against the bigram fields, so only CJK runs are worth indexing there. Latin
text fed to a character-bigram field is never matched and only bloats the
index and slows indexing/merge. Returns "" when there is no CJK text.
"""
return " ".join(_CJK_RE.findall(text))
def _build_cjk_query(
index: tantivy.Index,
raw_query: str,
+17
View File
@@ -154,6 +154,23 @@ def simple_search_tokens(text: str) -> list[str]:
return _SIMPLE_SEARCH_ANALYZER.analyze(text)
# Autocomplete word extraction: tokenize -> lowercase -> ascii_fold in a single
# Rust pass. Uses the simple tokenizer so extracted words match how document
# content is actually indexed (the content tokenizer _paperless_text also uses
# simple()), replacing a Python regex scan plus per-token folding.
_AUTOCOMPLETE_ANALYZER: Final = (
tantivy.TextAnalyzerBuilder(tantivy.Tokenizer.simple())
.filter(tantivy.Filter.lowercase())
.filter(tantivy.Filter.ascii_fold())
.build()
)
def autocomplete_tokens(text: str) -> list[str]:
"""Tokenize text into normalized autocomplete words (lowercased, ascii-folded)."""
return _AUTOCOMPLETE_ANALYZER.analyze(text)
def ascii_fold(text: str) -> str:
"""Fold text to ASCII using the same mapping as the content tokenizers.
+37 -4
View File
@@ -1,5 +1,7 @@
import pytest
from django.contrib.auth.models import Group
from django.contrib.auth.models import User
from guardian.shortcuts import assign_perm
from pytest_mock import MockerFixture
from documents.models import CustomField
@@ -15,6 +17,7 @@ from documents.tests.factories import CorrespondentFactory
from documents.tests.factories import DocumentFactory
from documents.tests.factories import DocumentTypeFactory
from documents.tests.factories import TagFactory
from documents.tests.factories import UserFactory
pytestmark = [pytest.mark.search, pytest.mark.django_db]
@@ -561,18 +564,48 @@ class TestRebuild:
"""Test index rebuilding functionality."""
def test_with_iter_wrapper_called(self, backend: TantivyBackend) -> None:
"""Index rebuild must pass documents through iter_wrapper for progress tracking."""
"""Index rebuild must pass (document, viewer_ids) pairs through iter_wrapper."""
seen = []
def wrapper(docs):
for doc in docs:
def wrapper(pairs):
for doc, viewer_ids in pairs:
seen.append(doc.pk)
yield doc
yield doc, viewer_ids
Document.objects.create(title="Tracked", content="x", checksum="TW1", pk=30)
backend.rebuild(Document.objects.all(), iter_wrapper=wrapper)
assert 30 in seen
def test_includes_group_granted_viewers(self, backend: TantivyBackend) -> None:
"""Rebuild must index viewer ids for group-only grants, not just direct ones.
The batched viewer-id lookup used during rebuild() must mirror
get_users_with_perms(with_group_users=True), which is the default
used by the non-batched per-document indexing path. Without it, a
user who can only see a document via group membership would lose
search access to it after any full reindex.
"""
owner = UserFactory()
group_member = UserFactory()
group = Group.objects.create(name="viewers")
group_member.groups.add(group)
doc = DocumentFactory(
title="Group shared doc",
content="group secret keyword",
owner=owner,
)
assign_perm("view_document", group, doc)
backend.rebuild(Document.objects.all())
ids = backend.search_ids(
"group secret",
user=group_member,
search_mode=SearchMode.QUERY,
)
assert ids == [doc.pk]
class TestAutocomplete:
"""Test autocomplete functionality."""
@@ -138,7 +138,7 @@ class TestCustomFieldsSearch(DirectoriesMixin, APITestCase):
title = str(kwargs)
document = Document.objects.create(
title=title,
checksum=title,
checksum=title[:64],
archive_serial_number=len(self.documents) + 1,
)
data = {
+29
View File
@@ -176,6 +176,35 @@ class TestMakeIndex:
call_command("document_index", "reindex", if_needed=True, skip_checks=True)
mock_get_backend.return_value.rebuild.assert_called_once()
def test_reindex_default_heap_size_not_overridden(
self,
mocker: MockerFixture,
) -> None:
"""Without --heap-size-mb, rebuild must use its own default heap size."""
mock_get_backend = mocker.patch(
"documents.management.commands.document_index.get_backend",
)
call_command("document_index", "reindex", skip_checks=True)
_, kwargs = mock_get_backend.return_value.rebuild.call_args
assert "writer_heap_bytes" not in kwargs
def test_reindex_heap_size_mb_passed_to_rebuild(
self,
mocker: MockerFixture,
) -> None:
"""--heap-size-mb must convert to bytes and pass through to rebuild."""
mock_get_backend = mocker.patch(
"documents.management.commands.document_index.get_backend",
)
call_command(
"document_index",
"reindex",
heap_size_mb=128,
skip_checks=True,
)
_, kwargs = mock_get_backend.return_value.rebuild.call_args
assert kwargs["writer_heap_bytes"] == 128_000_000
@pytest.mark.management
class TestRenamer(DirectoriesMixin, FileSystemAssertsMixin, TestCase):
@@ -0,0 +1,365 @@
# Generated by Django 5.2.14 on 2026-06-04 15:30
import django.core.validators
from django.db import migrations
from django.db import models
def _create_singleton(apps, schema_editor):
settings_model = apps.get_model("paperless", "ApplicationConfiguration")
settings_model.objects.create()
class Migration(migrations.Migration):
replaces = [
("paperless", "0001_initial"),
("paperless", "0002_applicationconfiguration_app_logo_and_more"),
("paperless", "0003_alter_applicationconfiguration_max_image_pixels"),
("paperless", "0004_applicationconfiguration_barcode_asn_prefix_and_more"),
("paperless", "0005_applicationconfiguration_ai_enabled_and_more"),
("paperless", "0006_applicationconfiguration_barcode_tag_split"),
]
dependencies = []
operations = [
migrations.CreateModel(
name="ApplicationConfiguration",
fields=[
(
"id",
models.AutoField(
auto_created=True,
primary_key=True,
serialize=False,
verbose_name="ID",
),
),
(
"output_type",
models.CharField(
blank=True,
choices=[
("pdf", "pdf"),
("pdfa", "pdfa"),
("pdfa-1", "pdfa-1"),
("pdfa-2", "pdfa-2"),
("pdfa-3", "pdfa-3"),
],
max_length=8,
null=True,
verbose_name="Sets the output PDF type",
),
),
(
"pages",
models.PositiveIntegerField(
null=True,
validators=[django.core.validators.MinValueValidator(1)],
verbose_name="Do OCR from page 1 to this value",
),
),
(
"language",
models.CharField(
blank=True,
max_length=32,
null=True,
verbose_name="Do OCR using these languages",
),
),
(
"mode",
models.CharField(
blank=True,
choices=[
("skip", "skip"),
("redo", "redo"),
("force", "force"),
("skip_noarchive", "skip_noarchive"),
],
max_length=16,
null=True,
verbose_name="Sets the OCR mode",
),
),
(
"skip_archive_file",
models.CharField(
blank=True,
choices=[
("never", "never"),
("with_text", "with_text"),
("always", "always"),
],
max_length=16,
null=True,
verbose_name="Controls the generation of an archive file",
),
),
(
"image_dpi",
models.PositiveIntegerField(
null=True,
validators=[django.core.validators.MinValueValidator(1)],
verbose_name="Sets image DPI fallback value",
),
),
(
"unpaper_clean",
models.CharField(
blank=True,
choices=[
("clean", "clean"),
("clean-final", "clean-final"),
("none", "none"),
],
max_length=16,
null=True,
verbose_name="Controls the unpaper cleaning",
),
),
(
"deskew",
models.BooleanField(null=True, verbose_name="Enables deskew"),
),
(
"rotate_pages",
models.BooleanField(
null=True,
verbose_name="Enables page rotation",
),
),
(
"rotate_pages_threshold",
models.FloatField(
null=True,
validators=[django.core.validators.MinValueValidator(0.0)],
verbose_name="Sets the threshold for rotation of pages",
),
),
(
"max_image_pixels",
models.FloatField(
null=True,
validators=[django.core.validators.MinValueValidator(0.0)],
verbose_name="Sets the maximum image size for decompression",
),
),
(
"color_conversion_strategy",
models.CharField(
blank=True,
choices=[
("LeaveColorUnchanged", "LeaveColorUnchanged"),
("RGB", "RGB"),
("UseDeviceIndependentColor", "UseDeviceIndependentColor"),
("Gray", "Gray"),
("CMYK", "CMYK"),
],
max_length=32,
null=True,
verbose_name="Sets the Ghostscript color conversion strategy",
),
),
(
"user_args",
models.JSONField(
null=True,
verbose_name="Adds additional user arguments for OCRMyPDF",
),
),
(
"app_logo",
models.FileField(
blank=True,
null=True,
upload_to="logo/",
validators=[
django.core.validators.FileExtensionValidator(
allowed_extensions=["jpg", "png", "gif", "svg"],
),
],
verbose_name="Application logo",
),
),
(
"app_title",
models.CharField(
blank=True,
max_length=48,
null=True,
verbose_name="Application title",
),
),
(
"barcode_asn_prefix",
models.CharField(
blank=True,
max_length=32,
null=True,
verbose_name="Sets the ASN barcode prefix",
),
),
(
"barcode_dpi",
models.PositiveIntegerField(
null=True,
validators=[django.core.validators.MinValueValidator(1)],
verbose_name="Sets the barcode DPI",
),
),
(
"barcode_enable_asn",
models.BooleanField(
null=True,
verbose_name="Enables ASN barcode",
),
),
(
"barcode_enable_tag",
models.BooleanField(
null=True,
verbose_name="Enables tag barcode",
),
),
(
"barcode_enable_tiff_support",
models.BooleanField(
null=True,
verbose_name="Enables barcode TIFF support",
),
),
(
"barcode_max_pages",
models.PositiveIntegerField(
null=True,
validators=[django.core.validators.MinValueValidator(1)],
verbose_name="Sets the maximum pages for barcode",
),
),
(
"barcode_retain_split_pages",
models.BooleanField(
null=True,
verbose_name="Retains split pages",
),
),
(
"barcode_string",
models.CharField(
blank=True,
max_length=32,
null=True,
verbose_name="Sets the barcode string",
),
),
(
"barcode_tag_mapping",
models.JSONField(
null=True,
verbose_name="Sets the tag barcode mapping",
),
),
(
"barcode_upscale",
models.FloatField(
null=True,
validators=[django.core.validators.MinValueValidator(1.0)],
verbose_name="Sets the barcode upscale factor",
),
),
(
"barcodes_enabled",
models.BooleanField(
null=True,
verbose_name="Enables barcode scanning",
),
),
(
"ai_enabled",
models.BooleanField(
default=False,
null=True,
verbose_name="Enables AI features",
),
),
(
"llm_api_key",
models.CharField(
blank=True,
max_length=1024,
null=True,
verbose_name="Sets the LLM API key",
),
),
(
"llm_backend",
models.CharField(
blank=True,
choices=[
("openai-like", "OpenAI-compatible"),
("ollama", "Ollama"),
],
max_length=128,
null=True,
verbose_name="Sets the LLM backend",
),
),
(
"llm_embedding_backend",
models.CharField(
blank=True,
choices=[
("openai-like", "OpenAI-compatible"),
("huggingface", "Huggingface"),
],
max_length=128,
null=True,
verbose_name="Sets the LLM embedding backend",
),
),
(
"llm_embedding_model",
models.CharField(
blank=True,
max_length=128,
null=True,
verbose_name="Sets the LLM embedding model",
),
),
(
"llm_endpoint",
models.CharField(
blank=True,
max_length=256,
null=True,
verbose_name="Sets the LLM endpoint, optional",
),
),
(
"llm_model",
models.CharField(
blank=True,
max_length=128,
null=True,
verbose_name="Sets the LLM model",
),
),
(
"barcode_tag_split",
models.BooleanField(
null=True,
verbose_name="Enables splitting on tag barcodes",
),
),
],
options={
"verbose_name": "paperless application settings",
},
),
migrations.RunPython(
code=_create_singleton,
reverse_code=migrations.RunPython.noop,
),
]
@@ -0,0 +1,94 @@
# Generated by Django 5.2.14 on 2026-06-04 15:19
import django.core.validators
from django.db import migrations
from django.db import models
class Migration(migrations.Migration):
replaces = [
("paperless", "0009_alter_applicationconfiguration_options"),
("paperless", "0010_alter_applicationconfiguration_llm_embedding_backend"),
("paperless", "0011_applicationconfiguration_llm_embedding_chunk_size"),
("paperless", "0012_applicationconfiguration_llm_output_language"),
("paperless", "0013_applicationconfiguration_llm_request_timeout"),
]
dependencies = [
("paperless", "0008_replace_skip_archive_file"),
]
operations = [
migrations.AlterModelOptions(
name="applicationconfiguration",
options={
"permissions": [
("view_global_statistics", "Can view global object counts"),
("view_system_monitoring", "Can view system status information"),
],
"verbose_name": "paperless application settings",
},
),
migrations.AlterField(
model_name="applicationconfiguration",
name="llm_embedding_backend",
field=models.CharField(
blank=True,
choices=[
("openai-like", "OpenAI-compatible"),
("huggingface", "Huggingface"),
("ollama", "Ollama"),
],
max_length=128,
null=True,
verbose_name="Sets the LLM embedding backend",
),
),
migrations.AddField(
model_name="applicationconfiguration",
name="llm_embedding_endpoint",
field=models.CharField(
blank=True,
max_length=256,
null=True,
verbose_name="Sets the LLM embedding endpoint, optional",
),
),
migrations.AddField(
model_name="applicationconfiguration",
name="llm_embedding_chunk_size",
field=models.PositiveSmallIntegerField(
null=True,
validators=[django.core.validators.MinValueValidator(1)],
verbose_name="Sets the LLM embedding chunk size",
),
),
migrations.AddField(
model_name="applicationconfiguration",
name="llm_context_size",
field=models.PositiveIntegerField(
null=True,
validators=[django.core.validators.MinValueValidator(1)],
verbose_name="Sets the LLM context size",
),
),
migrations.AddField(
model_name="applicationconfiguration",
name="llm_output_language",
field=models.CharField(
blank=True,
max_length=32,
null=True,
verbose_name="Sets the LLM output language",
),
),
migrations.AddField(
model_name="applicationconfiguration",
name="llm_request_timeout",
field=models.PositiveSmallIntegerField(
null=True,
validators=[django.core.validators.MinValueValidator(1)],
verbose_name="Sets the LLM request timeout in seconds",
),
),
]
@@ -0,0 +1,158 @@
# Generated by Django 5.2.14 on 2026-06-04 15:10
from django.db import migrations
from django.db import models
class Migration(migrations.Migration):
replaces = [
("paperless_mail", "0002_optimize_integer_field_sizes"),
("paperless_mail", "0003_mailrule_stop_processing"),
]
dependencies = [
("paperless_mail", "0001_squashed"),
]
operations = [
migrations.AlterField(
model_name="mailaccount",
name="account_type",
field=models.PositiveSmallIntegerField(
choices=[(1, "IMAP"), (2, "Gmail OAuth"), (3, "Outlook OAuth")],
default=1,
verbose_name="account type",
),
),
migrations.AlterField(
model_name="mailaccount",
name="imap_port",
field=models.PositiveIntegerField(
blank=True,
help_text="This is usually 143 for unencrypted and STARTTLS connections, and 993 for SSL connections.",
null=True,
verbose_name="IMAP port",
),
),
migrations.AlterField(
model_name="mailaccount",
name="imap_security",
field=models.PositiveSmallIntegerField(
choices=[(1, "No encryption"), (2, "Use SSL"), (3, "Use STARTTLS")],
default=2,
verbose_name="IMAP security",
),
),
migrations.AlterField(
model_name="mailrule",
name="action",
field=models.PositiveSmallIntegerField(
choices=[
(1, "Delete"),
(2, "Move to specified folder"),
(3, "Mark as read, don't process read mails"),
(4, "Flag the mail, don't process flagged mails"),
(5, "Tag the mail with specified tag, don't process tagged mails"),
],
default=3,
verbose_name="action",
),
),
migrations.AlterField(
model_name="mailrule",
name="assign_correspondent_from",
field=models.PositiveSmallIntegerField(
choices=[
(1, "Do not assign a correspondent"),
(2, "Use mail address"),
(3, "Use name (or mail address if not available)"),
(4, "Use correspondent selected below"),
],
default=1,
verbose_name="assign correspondent from",
),
),
migrations.AlterField(
model_name="mailrule",
name="assign_title_from",
field=models.PositiveSmallIntegerField(
choices=[
(1, "Use subject as title"),
(2, "Use attachment filename as title"),
(3, "Do not assign title from rule"),
],
default=1,
verbose_name="assign title from",
),
),
migrations.AlterField(
model_name="mailrule",
name="attachment_type",
field=models.PositiveSmallIntegerField(
choices=[
(1, "Only process attachments."),
(2, "Process all files, including 'inline' attachments."),
],
default=1,
help_text="Inline attachments include embedded images, so it's best to combine this option with a filename filter.",
verbose_name="attachment type",
),
),
migrations.AlterField(
model_name="mailrule",
name="consumption_scope",
field=models.PositiveSmallIntegerField(
choices=[
(1, "Only process attachments."),
(
2,
"Process full Mail (with embedded attachments in file) as .eml",
),
(
3,
"Process full Mail (with embedded attachments in file) as .eml + process attachments as separate documents",
),
],
default=1,
verbose_name="consumption scope",
),
),
migrations.AlterField(
model_name="mailrule",
name="maximum_age",
field=models.PositiveSmallIntegerField(
default=30,
help_text="Specified in days.",
verbose_name="maximum age",
),
),
migrations.AlterField(
model_name="mailrule",
name="order",
field=models.SmallIntegerField(default=0, verbose_name="order"),
),
migrations.AlterField(
model_name="mailrule",
name="pdf_layout",
field=models.PositiveSmallIntegerField(
choices=[
(0, "System default"),
(1, "Text, then HTML"),
(2, "HTML, then text"),
(3, "HTML only"),
(4, "Text only"),
],
default=0,
verbose_name="pdf layout",
),
),
migrations.AddField(
model_name="mailrule",
name="stop_processing",
field=models.BooleanField(
default=False,
help_text="If True, no further rules will be processed after this one if any document is queued.",
verbose_name="Stop processing further rules",
),
),
]
Generated
+183 -148
View File
@@ -158,6 +158,15 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/26/99/fc813cd978842c26c82534010ea849eee9ab3a13ea2b74e95cb9c99e747b/amqp-5.3.1-py3-none-any.whl", hash = "sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2", size = 50944, upload-time = "2024-11-12T19:55:41.782Z" },
]
[[package]]
name = "annotated-doc"
version = "0.0.4"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288, upload-time = "2025-11-10T22:07:42.062Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303, upload-time = "2025-11-10T22:07:40.673Z" },
]
[[package]]
name = "annotated-types"
version = "0.7.0"
@@ -310,14 +319,14 @@ wheels = [
[[package]]
name = "bleach"
version = "6.3.0"
version = "6.4.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "webencodings", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/07/18/3c8523962314be6bf4c8989c79ad9531c825210dd13a8669f6b84336e8bd/bleach-6.3.0.tar.gz", hash = "sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22", size = 203533, upload-time = "2025-10-27T17:57:39.211Z" }
sdist = { url = "https://files.pythonhosted.org/packages/48/3c/e12ac860709702bd5ebeb9b56a4fe334f1001246ee1b8f2b7ee28912df7d/bleach-6.4.0.tar.gz", hash = "sha256:4202482733d85cedd04e59fcb2f89f4e4c7c385a78d3c3c23c30446843a37452", size = 204857, upload-time = "2026-06-05T13:01:13.734Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/cd/3a/577b549de0cc09d95f11087ee63c739bba856cd3952697eec4c4bb91350a/bleach-6.3.0-py3-none-any.whl", hash = "sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6", size = 164437, upload-time = "2025-10-27T17:57:37.538Z" },
{ url = "https://files.pythonhosted.org/packages/58/9d/40b6267367182187139a4000b82a3b287d84d745bccd808e75d916920e9d/bleach-6.4.0-py3-none-any.whl", hash = "sha256:4b6b6a54fff2e69a3dde9d21cc6301220bee3c3cb792187d11403fd795031081", size = 165109, upload-time = "2026-06-05T13:01:12.504Z" },
]
[[package]]
@@ -581,11 +590,11 @@ wheels = [
[[package]]
name = "click"
version = "8.3.1"
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