Stream documents in document_archiver via .only() + .iterator()

document_archiver built its document_ids list by materializing every
full Document instance (all fields) just to read has_archive_version.
Restrict the queryset to the two fields actually used and stream it
with .iterator() to avoid loading the whole table into memory at once.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

pyproject.toml

@@ -16,7 +16,7 @@ classifiers = [
 dependencies = [
   "azure-ai-documentintelligence>=1.0.2",
   "babel>=2.17",
-  "bleach~=6.4.0",
+  "bleach~=6.3.0",
   "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~=3.10.0",
+  "nltk~=3.9.1",
   "ocrmypdf~=17.4.2",
   "openai>=2.32",
   "pathvalidate~=3.3.1",

src/documents/filters.py

@@ -771,14 +771,7 @@ class CustomFieldQueryFilter(Filter):
         )
         q, annotations = parser.parse(value)
 
-        # 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)
+        return qs.annotate(**annotations).filter(q)
 
 
 class DocumentFilterSet(FilterSet):

src/documents/management/commands/base.py

@@ -341,6 +341,35 @@ class PaperlessCommand(RichCommand):
 
         return None
 
+    def _resolve_iterable(
+        self,
+        iterable: Iterable[T],
+        *,
+        chunk_size: int = 2000,
+    ) -> Iterable[T]:
+        """
+        Convert a raw Django QuerySet into a server-side iterator.
+
+        Plain iteration over a QuerySet (`for x in queryset`) loads every
+        row into the queryset's result cache before yielding the first
+        item, defeating the purpose of streaming via track()/
+        track_with_stats(). Wrapping it in .iterator() streams rows from
+        the database instead. Non-QuerySet iterables (generators, lists,
+        already-wrapped iterators) are returned unchanged.
+
+        Args:
+            iterable: The items to iterate over.
+            chunk_size: Row batch size passed to QuerySet.iterator().
+
+        Returns:
+            A QuerySet.iterator() if given a QuerySet, else the original
+            iterable.
+        """
+        if isinstance(iterable, QuerySet):
+            return iterable.iterator(chunk_size=chunk_size)
+
+        return iterable
+
     def track(
         self,
         iterable: Iterable[T],
@@ -367,13 +396,14 @@ class PaperlessCommand(RichCommand):
             for doc in self.track(documents, description="Renaming..."):
                 process(doc)
         """
+        if total is None:
+            total = self._get_iterable_length(iterable)
+        iterable = self._resolve_iterable(iterable)
+
         if self.no_progress_bar:
             yield from iterable
             return
 
-        if total is None:
-            total = self._get_iterable_length(iterable)
-
         with self._create_progress(description) as progress:
             task_id = progress.add_task(description, total=total)
             for item in iterable:
@@ -438,13 +468,14 @@ class PaperlessCommand(RichCommand):
                 except Exception:
                     stats.failed += 1
         """
+        if total is None:
+            total = self._get_iterable_length(iterable)
+        iterable = self._resolve_iterable(iterable)
+
         if self.no_progress_bar:
             yield from iterable
             return
 
-        if total is None:
-            total = self._get_iterable_length(iterable)
-
         stderr_console = Console(stderr=True)
 
         # Progress is created without its own console so Live controls rendering.

src/documents/management/commands/document_archiver.py

@@ -54,8 +54,12 @@ class Command(PaperlessCommand):
         else:
             documents = Document.objects.all()
 
+        documents = documents.only("id", "archive_filename")
+
         document_ids = [
-            doc.id for doc in documents if overwrite or not doc.has_archive_version
+            doc.id
+            for doc in documents.iterator(chunk_size=2000)
+            if overwrite or not doc.has_archive_version
         ]
 
         try:

src/documents/management/commands/document_index.py

@@ -45,18 +45,6 @@ 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():
@@ -72,26 +60,13 @@ class Command(PaperlessCommand):
                     "document_type",
                     "storage_path",
                     "owner",
-                ).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
-                    )
+                ).prefetch_related("tags", "notes", "custom_fields", "versions")
                 get_backend().rebuild(
                     documents,
-                    iter_wrapper=lambda pairs: self.track(
-                        pairs,
+                    iter_wrapper=lambda docs: self.track(
+                        docs,
                         description="Indexing documents...",
-                        total=total,
                     ),
-                    **rebuild_kwargs,
                 )
                 reset_backend()
 

src/documents/migrations/0003_remove_document_storage_type_squashed_0005_alter_document_checksum_unique.py

@@ -1,63 +0,0 @@
-# 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",
-            ),
-        ),
-    ]

src/documents/migrations/0008_workflowaction_passwords_alter_workflowaction_type_squashed_0012_document_root_document.py

@@ -1,252 +0,0 @@
-# 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",
-            ),
-        ),
-    ]

src/documents/search/_backend.py

@@ -8,7 +8,6 @@ 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
@@ -17,14 +16,13 @@ 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
@@ -34,14 +32,11 @@ 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
@@ -56,6 +51,9 @@ _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")
 
 
@@ -68,16 +66,25 @@ class SearchMode(StrEnum):
 def _extract_autocomplete_words(text_sources: list[str]) -> set[str]:
     """Extract and normalize words for autocomplete.
 
-    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.
+    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.
     """
     words = set()
     for text in text_sources:
-        if text:
-            words.update(autocomplete_tokens(text))
+        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)
     return words
 
 
@@ -380,7 +387,6 @@ 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.
 
@@ -399,14 +405,10 @@ 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:
@@ -416,16 +418,14 @@ class TantivyBackend:
         if document.correspondent:
             doc.add_text("correspondent", document.correspondent.name)
             doc.add_text("correspondent_sort", document.correspondent.name)
-            if cjk_corr := extract_cjk_text(document.correspondent.name):
-                doc.add_text("bigram_correspondent", cjk_corr)
+            doc.add_text("bigram_correspondent", document.correspondent.name)
             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)
-            if cjk_type := extract_cjk_text(document.document_type.name):
-                doc.add_text("bigram_document_type", cjk_type)
+            doc.add_text("bigram_document_type", document.document_type.name)
             doc.add_unsigned("document_type_id", document.document_type_id)
 
         # Storage path
@@ -437,8 +437,7 @@ class TantivyBackend:
         tag_names: list[str] = []
         for tag in document.tags.all():
             doc.add_text("tag", tag.name)
-            if cjk_tag := extract_cjk_text(tag.name):
-                doc.add_text("bigram_tag", cjk_tag)
+            doc.add_text("bigram_tag", tag.name)
             doc.add_unsigned("tag_id", tag.pk)
             tag_names.append(tag.name)
 
@@ -493,14 +492,12 @@ class TantivyBackend:
             doc.add_unsigned("owner_id", document.owner_id)
 
         # Viewers with permission
-        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)
+        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)
 
         # Autocomplete words
         text_sources = [document.title, content]
@@ -915,8 +912,7 @@ class TantivyBackend:
     def rebuild(
         self,
         documents: QuerySet[Document],
-        iter_wrapper: IterWrapper[tuple[Document, list[int]]] = identity,
-        writer_heap_bytes: int = 512_000_000,
+        iter_wrapper: IterWrapper[Document] = identity,
     ) -> None:
         """
         Rebuild the entire search index from scratch.
@@ -927,12 +923,7 @@ class TantivyBackend:
         Args:
             documents: QuerySet of Document instances to index
             iter_wrapper: Optional wrapper function for progress tracking
-                (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.
+                (e.g., progress bar). Should yield each document unchanged.
         """
         # Create new index (on-disk or in-memory)
         if self._path is not None:
@@ -947,17 +938,13 @@ 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(heap_size=writer_heap_bytes)
-            for document, viewer_ids in iter_wrapper(documents_stream):
+            writer = new_index.writer()
+            for document in iter_wrapper(documents):
                 doc = self._build_tantivy_doc(
                     document,
                     document.get_effective_content(),
-                    viewer_ids=viewer_ids,
                 )
                 writer.add_document(doc)
             writer.commit()
@@ -972,97 +959,6 @@ 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

src/documents/search/_query.py

@@ -40,17 +40,6 @@ 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,

src/documents/search/_tokenizer.py

@@ -154,23 +154,6 @@ 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.
 

src/documents/tests/management/test_management_base_cmd.py

@@ -127,12 +127,19 @@ def mock_queryset():
         def __init__(self, items: list):
             self._items = items
             self.count_called = False
+            self.iterator_chunk_size: int | None = None
 
         def count(self) -> int:
             self.count_called = True
             return len(self._items)
 
         def __iter__(self):
+            raise AssertionError(
+                "querysets should be streamed via .iterator(), not iterated directly",
+            )
+
+        def iterator(self, chunk_size: int | None = None):
+            self.iterator_chunk_size = chunk_size
             return iter(self._items)
 
         def __len__(self):
@@ -405,6 +412,21 @@ class TestTrack:
         spy.assert_called_once_with(queryset)
         assert queryset.count_called is True
 
+    def test_streams_querysets_via_iterator(
+        self,
+        simple_command: SimpleCommand,
+        mock_queryset,
+    ) -> None:
+        """Verify track() streams querysets via .iterator() rather than
+        materializing the full result cache with a plain for-loop."""
+        simple_command.no_progress_bar = False
+        queryset = mock_queryset([1, 2, 3])
+
+        result = list(simple_command.track(queryset))
+
+        assert result == [1, 2, 3]
+        assert queryset.iterator_chunk_size == 2000
+
 
 @pytest.mark.management
 class TestProcessParallel:

src/documents/tests/search/test_backend.py

@@ -1,7 +1,5 @@
 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
@@ -17,7 +15,6 @@ 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]
 
@@ -564,48 +561,18 @@ class TestRebuild:
     """Test index rebuilding functionality."""
 
     def test_with_iter_wrapper_called(self, backend: TantivyBackend) -> None:
-        """Index rebuild must pass (document, viewer_ids) pairs through iter_wrapper."""
+        """Index rebuild must pass documents through iter_wrapper for progress tracking."""
         seen = []
 
-        def wrapper(pairs):
-            for doc, viewer_ids in pairs:
+        def wrapper(docs):
+            for doc in docs:
                 seen.append(doc.pk)
-                yield doc, viewer_ids
+                yield doc
 
         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."""

src/documents/tests/test_api_filter_by_custom_fields.py

@@ -138,7 +138,7 @@ class TestCustomFieldsSearch(DirectoriesMixin, APITestCase):
         title = str(kwargs)
         document = Document.objects.create(
             title=title,
-            checksum=title[:64],
+            checksum=title,
             archive_serial_number=len(self.documents) + 1,
         )
         data = {

src/documents/tests/test_management.py

@@ -176,35 +176,6 @@ 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):

src/paperless/migrations/0001_initial_squashed_0006_applicationconfiguration_barcode_tag_split.py

@@ -1,365 +0,0 @@
-# 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,
-        ),
-    ]

src/paperless/migrations/0009_alter_applicationconfiguration_options_squashed_0013_applicationconfiguration_llm_request_timeout.py

@@ -1,94 +0,0 @@
-# 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",
-            ),
-        ),
-    ]

src/paperless_mail/migrations/0002_optimize_integer_field_sizes_squashed_0003_mailrule_stop_processing.py

@@ -1,158 +0,0 @@
-# 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",
-            ),
-        ),
-    ]

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