Fix: pass document chat queries as a QuerySet instead of a materialized list

In tracemalloc based profiling, not materializing the whole Document list
reduced memory to approximately 20% of the baseline, with a peak memory
that scaled with the library size.  Now, the lazt queryset is used and only
the needed pk value is actually contributing to memory

docs/configuration.md

@@ -948,11 +948,10 @@ for display in the web interface.
 
     !!! note
 
-        The **remote OCR parser** (Azure AI) also honors this setting: when
+        The **remote OCR parser** (Azure AI) always produces a searchable
-        no archive is requested (`never`, or `auto` with a born-digital PDF),
+        PDF and stores it as the archive copy, regardless of this setting.
-        the remote engine is skipped entirely and locally-extracted text is
+        `ARCHIVE_FILE_GENERATION=never` has no effect when the remote
-        used instead, avoiding an unnecessary API call and a duplicate text
+        parser handles a document.
-        layer.
 
 #### [`PAPERLESS_OCR_CLEAN=<mode>`](#PAPERLESS_OCR_CLEAN) {#PAPERLESS_OCR_CLEAN}
 

docs/migration-v3.md

@@ -187,11 +187,10 @@ PAPERLESS_ARCHIVE_FILE_GENERATION=auto
 
 ### Remote OCR parser
 
-If you use the **remote OCR parser** (Azure AI), `ARCHIVE_FILE_GENERATION` is
+If you use the **remote OCR parser** (Azure AI), note that it always produces a
-honored the same way as for the local engine: when no archive is requested
+searchable PDF and stores it as the archive copy. `ARCHIVE_FILE_GENERATION=never`
-(`never`, or `auto` with a born-digital PDF), the remote engine is skipped
+has no effect for documents handled by the remote parser - the archive is produced
-entirely and locally-extracted text is used instead, avoiding an unnecessary
+unconditionally by the remote engine.
-API call and a duplicate text layer.
 
 ## Search Index (Whoosh -> Tantivy)
 

docs/usage.md

@@ -576,9 +576,7 @@ The following workflow action types are available:
 - Tags, correspondent, document type and storage path
 - Document owner
 - View and / or edit permissions to users or groups
-- Custom fields, optionally with a value. If no value is set, the field is only added to the
+- Custom fields. Note that no value for the field will be set
-  document and any value it may already have is left untouched. If a value is set, it will
-  overwrite an existing value of that field on the document.
 
 ##### Removal {#workflow-action-removal}
 

src-ui/messages.xlf

@@ -1703,7 +1703,7 @@
         </context-group>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
-          <context context-type="linenumber">34</context>
+          <context context-type="linenumber">28</context>
         </context-group>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context>
@@ -3279,7 +3279,7 @@
         </context-group>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
-          <context context-type="linenumber">46</context>
+          <context context-type="linenumber">40</context>
         </context-group>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context>
@@ -7070,39 +7070,32 @@
           <context context-type="linenumber">143</context>
         </context-group>
       </trans-unit>
-      <trans-unit id="8336346011691074629" datatype="html">
-        <source>No suggestions</source>
-        <context-group purpose="location">
-          <context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
-          <context context-type="linenumber">11,12</context>
-        </context-group>
-      </trans-unit>
       <trans-unit id="5320136382998259826" datatype="html">
         <source>Suggest</source>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
-          <context context-type="linenumber">13,14</context>
+          <context context-type="linenumber">8,9</context>
         </context-group>
       </trans-unit>
       <trans-unit id="6934085657687954669" datatype="html">
         <source>Show suggestions</source>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
-          <context context-type="linenumber">23,24</context>
+          <context context-type="linenumber">17,18</context>
         </context-group>
       </trans-unit>
       <trans-unit id="3834115140127576673" datatype="html">
         <source>No novel suggestions</source>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
-          <context context-type="linenumber">30,31</context>
+          <context context-type="linenumber">24,25</context>
         </context-group>
       </trans-unit>
       <trans-unit id="4369111787961525769" datatype="html">
         <source>Document Types</source>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
-          <context context-type="linenumber">40</context>
+          <context context-type="linenumber">34</context>
         </context-group>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context>

src-ui/package.json

@@ -66,5 +66,5 @@
     "ts-node": "~10.9.1",
     "typescript": "^6.0.3"
   },
-  "packageManager": "pnpm@11.15.1"
+  "packageManager": "pnpm@10.26.0"
 }

src-ui/pnpm-workspace.yaml

@@ -5,7 +5,6 @@ trustPolicy: no-downgrade
 trustPolicyExclude:
   - "chokidar@4.0.3"
   - "semver@6.3.1 || 5.7.2"
-blockExoticSubdeps: true
 allowBuilds:
   "@parcel/watcher": true
   canvas: true

src-ui/src/app/components/common/input/custom-fields-values/custom-fields-values.component.spec.ts

@@ -52,10 +52,10 @@ describe('CustomFieldsValuesComponent', () => {
   })
 
   it('should set selectedFields and map values correctly', () => {
-    component.value = { 1: 'value1', 3: 0, 4: false }
+    component.value = { 1: 'value1' }
-    component.selectedFields = [1, 2, 3, 4]
+    component.selectedFields = [1, 2]
-    expect(component.selectedFields).toEqual([1, 2, 3, 4])
+    expect(component.selectedFields).toEqual([1, 2])
-    expect(component.value).toEqual({ 1: 'value1', 2: null, 3: 0, 4: false })
+    expect(component.value).toEqual({ 1: 'value1', 2: null })
   })
 
   it('should return the correct custom field by id', () => {

src-ui/src/app/components/common/input/custom-fields-values/custom-fields-values.component.ts

@@ -77,7 +77,7 @@ export class CustomFieldsValuesComponent extends AbstractInputComponent<Object>
     this._selectedFields = newFields
     // map the selected fields to an object with field_id as key and value as value
     this.value = newFields.reduce((acc, fieldId) => {
-      acc[fieldId] = this.value?.[fieldId] ?? null
+      acc[fieldId] = this.value?.[fieldId] || null
       return acc
     }, {})
     this.onChange(this.value)

src-ui/src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html

@@ -2,16 +2,10 @@
   <button type="button" class="btn btn-sm btn-outline-primary" (click)="clickSuggest()" [disabled]="disabled() || loading() || (suggestions() && !aiEnabled())">
     @if (loading()) {
       <div class="spinner-border spinner-border-sm" role="status"></div>
-    } @else if (noSuggestions) {
-      <i-bs width="1.2em" height="1.2em" name="check-circle"></i-bs>
     } @else {
       <i-bs width="1.2em" height="1.2em" name="stars"></i-bs>
     }
-    @if (noSuggestions) {
+    <span class="d-none d-lg-inline ps-1" i18n>Suggest</span>
-      <span class="d-none d-lg-inline ps-1" i18n>No suggestions</span>
-    } @else {
-      <span class="d-none d-lg-inline ps-1" i18n>Suggest</span>
-    }
     @if (totalSuggestions > 0) {
       <span class="badge bg-primary ms-2">{{ totalSuggestions }}</span>
     }
@@ -25,7 +19,7 @@
 
       <div ngbDropdownMenu aria-labelledby="suggestionsDropdown" class="shadow suggestions-dropdown">
         <div class="list-group list-group-flush small pb-0">
-          @if (totalSuggestions === 0) {
+          @if (!suggestions()?.suggested_tags && !suggestions()?.suggested_document_types && !suggestions()?.suggested_correspondents) {
             <div class="list-group-item text-muted fst-italic">
               <small class="text-muted small fst-italic" i18n>No novel suggestions</small>
             </div>

src-ui/src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.spec.ts

@@ -30,34 +30,6 @@ describe('SuggestionsDropdownComponent', () => {
     expect(component.totalSuggestions).toBe(4)
   })
 
-  it('should show when a completed request returned no suggestions', () => {
-    fixture.componentRef.setInput('suggestions', {
-      correspondents: [],
-      tags: [],
-      document_types: [],
-      storage_paths: [],
-      dates: [],
-    })
-    fixture.detectChanges()
-
-    expect(component.noSuggestions).toBeTruthy()
-    expect(fixture.nativeElement.textContent).toContain('No suggestions')
-  })
-
-  it('should not show the empty state before a request or with suggestions', () => {
-    expect(component.noSuggestions).toBeFalsy()
-
-    fixture.componentRef.setInput('suggestions', {
-      correspondents: [],
-      tags: [42],
-      document_types: [],
-      storage_paths: [],
-      dates: [],
-    })
-
-    expect(component.noSuggestions).toBeFalsy()
-  })
-
   it('should emit getSuggestions when clickSuggest is called and suggestions are null', () => {
     jest.spyOn(component.getSuggestions, 'emit')
     fixture.componentRef.setInput('suggestions', null)
@@ -87,6 +59,5 @@ describe('SuggestionsDropdownComponent', () => {
     })
     component.clickSuggest()
     expect(component.dropdown.open).toBeTruthy()
-    expect(fixture.nativeElement.textContent).toContain('No novel suggestions')
   })
 })

src-ui/src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.ts

@@ -61,21 +61,4 @@ export class SuggestionsDropdownComponent {
         this.suggestions()?.suggested_document_types?.length || 0
     )
   }
-
-  get noSuggestions(): boolean {
-    const suggestions = this.suggestions()
-    return (
-      suggestions != null &&
-      !suggestions.title &&
-      !suggestions.tags?.length &&
-      !suggestions.suggested_tags?.length &&
-      !suggestions.correspondents?.length &&
-      !suggestions.suggested_correspondents?.length &&
-      !suggestions.document_types?.length &&
-      !suggestions.suggested_document_types?.length &&
-      !suggestions.storage_paths?.length &&
-      !suggestions.suggested_storage_paths?.length &&
-      !suggestions.dates?.length
-    )
-  }
 }

src/documents/filters.py

@@ -1047,12 +1047,6 @@ class PermittedObjectsFilter(BaseFilterBackend):
     perm_codename: str | None = None
 
     def filter_queryset(self, request, queryset, view):
-        # Before the superuser and owner-only paths, neither of which consults
-        # permitted_object_ids. Scoped to authenticated users so anonymous
-        # access (AnonymousUser.is_active is False) keeps its existing
-        # unowned-only behaviour.
-        if request.user.is_authenticated and not request.user.is_active:
-            return queryset.none()
         if request.user.is_superuser:
             return queryset
         if not self.include_granted:

src/documents/permissions.py

@@ -54,15 +54,11 @@ class PaperlessObjectPermissions(DjangoObjectPermissions):
 
 class PaperlessAdminPermissions(BasePermission):
     def has_permission(self, request, view):
-        return request.user.is_active and request.user.is_staff
+        return request.user.is_staff
 
 
 def has_global_statistics_permission(user: User | None) -> bool:
-    if (
+    if user is None or not getattr(user, "is_authenticated", False):
-        user is None
-        or not getattr(user, "is_active", False)
-        or not getattr(user, "is_authenticated", False)
-    ):
         return False
 
     return getattr(user, "is_superuser", False) or user.has_perm(
@@ -71,11 +67,7 @@ def has_global_statistics_permission(user: User | None) -> bool:
 
 
 def has_system_status_permission(user: User | None) -> bool:
-    if (
+    if user is None or not getattr(user, "is_authenticated", False):
-        user is None
-        or not getattr(user, "is_active", False)
-        or not getattr(user, "is_authenticated", False)
-    ):
         return False
 
     return (
@@ -196,13 +188,6 @@ def permitted_object_ids(
     if user is None or not getattr(user, "is_authenticated", False):
         return base_qs.filter(owner__isnull=True).values_list("id", flat=True)
 
-    # Deactivated users get nothing, deactivated superusers included, so this
-    # has to come before the superuser shortcut. guardian's
-    # ObjectPermissionChecker denies inactive users, but get_objects_for_user
-    # (the pattern this replaces) does not, so it would not be inherited.
-    if not getattr(user, "is_active", False):
-        return base_qs.none().values_list("id", flat=True)
-
     if getattr(user, "is_superuser", False):
         return base_qs.values_list("id", flat=True)
 

src/documents/serialisers.py

@@ -3213,13 +3213,6 @@ class WorkflowActionSerializer(serializers.ModelSerializer[WorkflowAction]):
                         {"assign_title": f'Invalid f-string detected: "{e.args[0]}"'},
                     )
 
-        if attrs.get("assign_custom_fields_values"):
-            # Empty strings treated as None to avoid unexpected behavior
-            attrs["assign_custom_fields_values"] = {
-                field_id: (None if value == "" else value)
-                for field_id, value in attrs["assign_custom_fields_values"].items()
-            }
-
         if (
             "type" in attrs
             and attrs["type"] == WorkflowAction.WorkflowActionType.EMAIL

src/documents/tests/test_api_workflows.py

@@ -422,11 +422,6 @@ class TestApiWorkflows(DirectoriesMixin, APITestCase):
             json.dumps(
                 {
                     "assign_title": "",
-                    "assign_custom_fields": [self.cf1.id, self.cf2.id],
-                    "assign_custom_fields_values": {
-                        str(self.cf1.id): "",
-                        str(self.cf2.id): 0,
-                    },
                 },
             ),
             content_type="application/json",
@@ -434,10 +429,6 @@ class TestApiWorkflows(DirectoriesMixin, APITestCase):
         self.assertEqual(response.status_code, status.HTTP_201_CREATED)
         action = WorkflowAction.objects.get(id=response.data["id"])
         self.assertIsNone(action.assign_title)
-        self.assertEqual(
-            action.assign_custom_fields_values,
-            {str(self.cf1.id): None, str(self.cf2.id): 0},
-        )
 
         response = self.client.post(
             self.ENDPOINT_TRIGGERS,

src/documents/tests/test_permission_filtering_security.py

@@ -496,28 +496,6 @@ class TestPermittedObjectIdsGenericModels:
             expected_hidden=[strangers.pk],
         )
 
-    @pytest.mark.parametrize("is_superuser", [False, True])
-    def test_inactive_user_sees_nothing(self, model, factory, perm, is_superuser):
-        suffix = f"{model.__name__}_{is_superuser}"
-        user = User.objects.create_user(
-            username=f"inactive_{suffix}",
-            is_active=False,
-            is_superuser=is_superuser,
-        )
-        other = User.objects.create_user(username=f"other_{suffix}")
-        granted = factory(owner=other)
-        assign_perm(perm, user, granted)
-
-        assert_visible_document_ids(
-            permitted_object_ids(user, model, perm),
-            expected_visible=[],
-            expected_hidden=[
-                factory(owner=None).pk,
-                factory(owner=user).pk,
-                granted.pk,
-            ],
-        )
-
     def test_unowned_object_visible_to_everyone(self, model, factory, perm):
         user = User.objects.create_user(username=f"user_{model.__name__}")
         unowned = factory(owner=None)

src/documents/tests/test_permitted_objects_filter.py

@@ -68,44 +68,3 @@ class TestPermittedObjectsFilter:
         visible_ids = set(result.values_list("id", flat=True))
         assert visible_ids == {owned.pk}
         assert granted.pk not in visible_ids
-
-    @pytest.mark.parametrize(
-        ("username", "is_superuser"),
-        [("inactive", False), ("inactive_super", True)],
-    )
-    def test_inactive_user_sees_nothing(self, username: str, *, is_superuser: bool):
-        user = User.objects.create_user(
-            username=username,
-            is_active=False,
-            is_superuser=is_superuser,
-        )
-        TagFactory(owner=None)
-        TagFactory(owner=user)
-        granted = TagFactory(owner=User.objects.create_user(username=f"o_{username}"))
-        assign_perm("view_tag", user, granted)
-        request = APIRequestFactory().get("/")
-        request.user = user
-
-        result = PermittedObjectsFilter().filter_queryset(
-            request,
-            Tag.objects.all(),
-            _DummyView(),
-        )
-        assert result.count() == 0
-
-    def test_inactive_user_sees_nothing_with_include_granted_false(self):
-        user = User.objects.create_user(username="inactive_owner", is_active=False)
-        TagFactory(owner=user)
-        TagFactory(owner=None)
-        request = APIRequestFactory().get("/")
-        request.user = user
-
-        class _OwnerOnlyFilter(PermittedObjectsFilter):
-            include_granted = False
-
-        result = _OwnerOnlyFilter().filter_queryset(
-            request,
-            Tag.objects.all(),
-            _DummyView(),
-        )
-        assert result.count() == 0

src/documents/tests/test_workflows.py

@@ -2000,55 +2000,6 @@ class TestWorkflows(
                 r"Doc added in \w{3,}",
             )  # Match any 3-letter month name
 
-    def test_document_updated_workflow_existing_custom_field_empty_value(self) -> None:
-        """
-        GIVEN:
-            - Existing workflow with UPDATED trigger and action that assigns a custom field
-              with an empty value
-        WHEN:
-            - Document is updated that already contains the field with a value
-        THEN:
-            - The existing value is left untouched, see GH #13627
-        """
-        trigger = WorkflowTrigger.objects.create(
-            type=WorkflowTrigger.WorkflowTriggerType.DOCUMENT_UPDATED,
-            filter_has_document_type=self.dt,
-        )
-        action = WorkflowAction.objects.create()
-        action.assign_custom_fields.add(self.cf1)
-        action.assign_custom_fields_values = {self.cf1.pk: ""}
-        action.save()
-        w = Workflow.objects.create(
-            name="Workflow 1",
-            order=0,
-        )
-        w.triggers.add(trigger)
-        w.actions.add(action)
-        w.save()
-
-        doc = Document.objects.create(
-            title="sample test",
-            correspondent=self.c,
-            original_filename="sample.pdf",
-        )
-        CustomFieldInstance.objects.create(
-            document=doc,
-            field=self.cf1,
-            value_text="existing value",
-        )
-
-        superuser = User.objects.create_superuser("superuser")
-        self.client.force_authenticate(user=superuser)
-
-        self.client.patch(
-            f"/api/documents/{doc.id}/",
-            {"document_type": self.dt.id},
-            format="json",
-        )
-
-        doc.refresh_from_db()
-        self.assertEqual(doc.custom_fields.get(field=self.cf1).value, "existing value")
-
     def test_document_updated_workflow_existing_custom_field(self) -> None:
         """
         GIVEN:

src/documents/views.py

@@ -2267,7 +2267,7 @@ class ChatStreamingView(GenericAPIView[Any]):
             if not has_perms_owner_aware(request.user, "view_document", document):
                 return HttpResponseForbidden("Insufficient permissions")
 
-            documents = [document]
+            documents = Document.objects.filter(pk=document.pk)
         else:
             documents = Document.objects.filter(
                 id__in=permitted_document_ids(request.user),

src/documents/workflows/mutations.py

@@ -105,8 +105,7 @@ def apply_assignment_to_document(
                 field=field,
                 document=document,
             ).first()
-            # empty string is indistinguishable from no value in the UI
+            if instance and args[value_field_name] is not None:
-            if instance and args[value_field_name] not in (None, ""):
                 setattr(instance, value_field_name, args[value_field_name])
                 instance.save()
             elif not instance:

src/locale/en_US/LC_MESSAGES/django.po

@@ -2,7 +2,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: paperless-ngx\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2026-08-10 02:25+0000\n"
+"POT-Creation-Date: 2026-08-07 20:00+0000\n"
 "PO-Revision-Date: 2022-02-17 04:17\n"
 "Last-Translator: \n"
 "Language-Team: English\n"
@@ -21,39 +21,39 @@ msgstr ""
 msgid "Documents"
 msgstr ""
 
-#: documents/filters.py:471
+#: documents/filters.py:472
 msgid "Value must be valid JSON."
 msgstr ""
 
-#: documents/filters.py:490
+#: documents/filters.py:491
 msgid "Invalid custom field query expression"
 msgstr ""
 
-#: documents/filters.py:500
+#: documents/filters.py:501
 msgid "Invalid expression list. Must be nonempty."
 msgstr ""
 
-#: documents/filters.py:521
+#: documents/filters.py:522
 msgid "Invalid logical operator {op!r}"
 msgstr ""
 
-#: documents/filters.py:535
+#: documents/filters.py:536
 msgid "Maximum number of query conditions exceeded."
 msgstr ""
 
-#: documents/filters.py:599
+#: documents/filters.py:600
 msgid "{name!r} is not a valid custom field."
 msgstr ""
 
-#: documents/filters.py:636
+#: documents/filters.py:637
 msgid "{data_type} does not support query expr {expr!r}."
 msgstr ""
 
-#: documents/filters.py:755 documents/models.py:136
+#: documents/filters.py:756 documents/models.py:136
 msgid "Maximum nesting depth exceeded."
 msgstr ""
 
-#: documents/filters.py:1079
+#: documents/filters.py:1098
 msgid "Custom field not found"
 msgstr ""
 
@@ -1352,7 +1352,7 @@ msgid "workflow runs"
 msgstr ""
 
 #: documents/serialisers.py:521 documents/serialisers.py:873
-#: documents/serialisers.py:2767 documents/views.py:299 documents/views.py:2555
+#: documents/serialisers.py:2767 documents/views.py:300 documents/views.py:2556
 #: paperless_mail/serialisers.py:155
 msgid "Insufficient permissions."
 msgstr ""
@@ -1393,7 +1393,7 @@ msgstr ""
 msgid "Duplicate document identifiers are not allowed."
 msgstr ""
 
-#: documents/serialisers.py:2853 documents/views.py:4509
+#: documents/serialisers.py:2853 documents/views.py:4510
 #, python-format
 msgid "Documents not found: %(ids)s"
 msgstr ""
@@ -1661,36 +1661,36 @@ msgstr ""
 msgid "Unable to parse URI {value}"
 msgstr ""
 
-#: documents/views.py:292 documents/views.py:2552
+#: documents/views.py:293 documents/views.py:2553
 msgid "Invalid more_like_id"
 msgstr ""
 
-#: documents/views.py:1566
+#: documents/views.py:1567
 msgid "Invalid AI configuration."
 msgstr ""
 
-#: documents/views.py:1575
+#: documents/views.py:1576
 msgid "AI backend request timed out."
 msgstr ""
 
-#: documents/views.py:2377 documents/views.py:2698
+#: documents/views.py:2378 documents/views.py:2699
 msgid "Specify only one of text, title_search, query, or more_like_id."
 msgstr ""
 
-#: documents/views.py:4522
+#: documents/views.py:4523
 #, python-format
 msgid "Insufficient permissions to share document %(id)s."
 msgstr ""
 
-#: documents/views.py:4568
+#: documents/views.py:4569
 msgid "Bundle is already being processed."
 msgstr ""
 
-#: documents/views.py:4629
+#: documents/views.py:4630
 msgid "The share link bundle is still being prepared. Please try again later."
 msgstr ""
 
-#: documents/views.py:4639
+#: documents/views.py:4640
 msgid "The share link bundle is unavailable."
 msgstr ""
 

src/paperless/auth.py

@@ -19,10 +19,7 @@ class AutoLoginMiddleware(MiddlewareMixin):
         if request.path.startswith("/api/token/") and request.method == "POST":
             return None
         try:
-            request.user = User.objects.get(
+            request.user = User.objects.get(username=settings.AUTO_LOGIN_USERNAME)
-                username=settings.AUTO_LOGIN_USERNAME,
-                is_active=True,
-            )
             auth.login(
                 request=request,
                 user=request.user,

src/paperless/parsers/remote.py

@@ -3,9 +3,7 @@ Built-in remote-OCR document parser.
 
 Handles documents by sending them to a configured remote OCR engine
 (currently Azure AI Vision / Document Intelligence) and retrieving both
-the extracted text and a searchable PDF with an embedded text layer. For
+the extracted text and a searchable PDF with an embedded text layer.
-born-digital PDFs that need no archive copy, the remote call is skipped
-entirely in favor of locally-extracted text (see ``RemoteDocumentParser.parse``).
 
 When no engine is configured, ``score()`` returns ``None`` so the parser
 is effectively invisible to the registry — the tesseract parser handles
@@ -24,8 +22,6 @@ from typing import Self
 from django.conf import settings
 
 from documents.parsers import ParseError
-from paperless.parsers.utils import extract_pdf_text
-from paperless.parsers.utils import post_process_text
 from paperless.version import __full_version_str__
 
 if TYPE_CHECKING:
@@ -74,11 +70,8 @@ class RemoteDocumentParser:
     """Parse documents via a remote OCR API (currently Azure AI Vision).
 
     This parser sends documents to a remote engine that returns both
-    extracted text and a searchable PDF with an embedded text layer,
+    extracted text and a searchable PDF with an embedded text layer.
-    except when ``parse()`` is called with ``produce_archive=False`` for
+    It does not depend on Tesseract or ocrmypdf.
-    a PDF, in which case the remote call is skipped and only locally
-    extracted text is returned (no archive). It does not depend on
-    Tesseract or ocrmypdf.
 
     Class attributes
     ----------------
@@ -167,11 +160,8 @@ class RemoteDocumentParser:
         Returns
         -------
         bool
-            Always True — the remote engine is capable of returning a PDF
+            Always True — the remote engine always returns a PDF with an
-            with an embedded text layer to serve as the archive copy.
+            embedded text layer that serves as the archive copy.
-            Whether it actually does so for a given document depends on
-            ``produce_archive`` passed to :meth:`parse` (see there for when
-            the remote engine call, and thus archive generation, is skipped).
         """
         return True
 
@@ -228,12 +218,6 @@ class RemoteDocumentParser:
     ) -> None:
         """Send the document to the remote engine and store results.
 
-        When *produce_archive* is False for a PDF, the caller (via
-        ``documents.consumer.should_produce_archive``) has already determined
-        that the document is born-digital and needs no archive — skip the
-        remote engine entirely rather than re-OCRing it and creating a
-        duplicate text layer.
-
         Parameters
         ----------
         document_path:
@@ -241,8 +225,8 @@ class RemoteDocumentParser:
         mime_type:
             Detected MIME type of the document.
         produce_archive:
-            Whether an archive copy is wanted. For PDFs, False skips the
+            Ignored — the remote engine always returns a searchable PDF,
-            remote engine and uses locally-extracted text instead.
+            which is stored as the archive copy regardless of this flag.
         """
         config = RemoteEngineConfig(
             engine=settings.REMOTE_OCR_ENGINE,
@@ -257,16 +241,6 @@ class RemoteDocumentParser:
             self._text = ""
             return
 
-        if not produce_archive and mime_type == "application/pdf":
-            logger.debug(
-                "Remote OCR: skipped — no archive requested, "
-                "using locally-extracted text",
-            )
-            self._text = (
-                post_process_text(extract_pdf_text(document_path, log=logger)) or ""
-            )
-            return
-
         if config.engine == "azureai":
             self._text = self._azure_ai_vision_parse(document_path, config)
 

src/paperless/serialisers.py

@@ -217,7 +217,6 @@ class ApplicationConfigurationSerializer(
     llm_api_key = ObfuscatedPasswordField(
         required=False,
         allow_null=True,
-        max_length=1024,
     )
 
     def run_validation(self, data):

src/paperless/tests/parsers/test_remote_parser.py

@@ -337,117 +337,6 @@ class TestRemoteParserParse:
         assert remote_parser.get_date() is None
 
 
-# ---------------------------------------------------------------------------
-# parse() — produce_archive=False skips the remote engine (PDFs only)
-# ---------------------------------------------------------------------------
-
-
-class TestRemoteParserSkipsWhenNoArchiveWanted:
-    """When the caller has already decided no archive is needed for a PDF
-    (documents.consumer.should_produce_archive), the remote engine call is
-    skipped entirely in favor of locally-extracted text.
-    """
-
-    def test_pdf_skips_azure_when_no_archive_requested(
-        self,
-        remote_parser: RemoteDocumentParser,
-        simple_digital_pdf_file: Path,
-        azure_client: Mock,
-    ) -> None:
-        """
-        GIVEN: produce_archive=False for a PDF
-        WHEN:  parse() is called
-        THEN:  Azure is never invoked, no archive is produced, and text
-               comes from local pdftotext extraction
-        """
-        remote_parser.parse(
-            simple_digital_pdf_file,
-            "application/pdf",
-            produce_archive=False,
-        )
-
-        azure_client.begin_analyze_document.assert_not_called()
-        assert remote_parser.get_archive_path() is None
-        assert remote_parser.get_text() != ""
-
-    def test_pdf_no_archive_requested_text_matches_local_extraction(
-        self,
-        remote_parser: RemoteDocumentParser,
-        simple_digital_pdf_file: Path,
-        azure_client: Mock,
-        mocker: MockerFixture,
-    ) -> None:
-        """
-        GIVEN: produce_archive=False for a PDF
-        WHEN:  parse() is called
-        THEN:  the returned text is exactly the locally-extracted text,
-               not anything from the (unused) Azure mock
-        """
-        mocker.patch(
-            "paperless.parsers.remote.extract_pdf_text",
-            return_value="Local digital text.",
-        )
-
-        remote_parser.parse(
-            simple_digital_pdf_file,
-            "application/pdf",
-            produce_archive=False,
-        )
-
-        assert remote_parser.get_text() == "Local digital text."
-
-    def test_pdf_no_archive_requested_closes_no_client(
-        self,
-        remote_parser: RemoteDocumentParser,
-        simple_digital_pdf_file: Path,
-        azure_client: Mock,
-    ) -> None:
-        remote_parser.parse(
-            simple_digital_pdf_file,
-            "application/pdf",
-            produce_archive=False,
-        )
-
-        azure_client.close.assert_not_called()
-
-    def test_non_pdf_still_calls_azure_when_no_archive_requested(
-        self,
-        remote_parser: RemoteDocumentParser,
-        simple_digital_pdf_file: Path,
-        azure_client: Mock,
-    ) -> None:
-        """
-        Images have no local-text fallback, so produce_archive=False does
-        not skip the remote engine for non-PDF MIME types.
-        """
-        remote_parser.parse(
-            simple_digital_pdf_file,
-            "image/png",
-            produce_archive=False,
-        )
-
-        azure_client.begin_analyze_document.assert_called_once()
-        assert remote_parser.get_text() == _DEFAULT_TEXT
-
-    @pytest.mark.usefixtures("no_engine_settings")
-    def test_unconfigured_engine_takes_precedence_over_skip(
-        self,
-        remote_parser: RemoteDocumentParser,
-        simple_digital_pdf_file: Path,
-    ) -> None:
-        """An unconfigured engine still short-circuits before the
-        produce_archive check, returning empty text as before.
-        """
-        remote_parser.parse(
-            simple_digital_pdf_file,
-            "application/pdf",
-            produce_archive=False,
-        )
-
-        assert remote_parser.get_text() == ""
-        assert remote_parser.get_archive_path() is None
-
-
 # ---------------------------------------------------------------------------
 # parse() — Azure failure path
 # ---------------------------------------------------------------------------

src/paperless/tests/test_auth_middleware.py

@@ -1,53 +0,0 @@
-from django.contrib.auth.models import AnonymousUser
-from django.contrib.auth.models import User
-from django.test import RequestFactory
-from django.test import TestCase
-from django.test import override_settings
-
-from paperless.auth import AutoLoginMiddleware
-
-
-@override_settings(AUTO_LOGIN_USERNAME="autologin")
-class TestAutoLoginMiddleware(TestCase):
-    def setUp(self) -> None:
-        super().setUp()
-        self.factory = RequestFactory()
-        self.middleware = AutoLoginMiddleware(lambda request: None)
-
-    def _process(self, request):
-        # login() needs a session to write to
-        request.session = self.client.session
-        self.middleware.process_request(request)
-        return request
-
-    def test_active_user_is_logged_in(self) -> None:
-        """
-        GIVEN:
-            - AUTO_LOGIN_USERNAME names an active user
-        WHEN:
-            - A request is processed by the middleware
-        THEN:
-            - That user is attached to the request
-        """
-        user = User.objects.create_user(username="autologin")
-
-        request = self._process(self.factory.get("/"))
-
-        self.assertEqual(request.user, user)
-
-    def test_deactivated_user_is_not_logged_in(self) -> None:
-        """
-        GIVEN:
-            - AUTO_LOGIN_USERNAME names a user who has been deactivated
-        WHEN:
-            - A request is processed by the middleware
-        THEN:
-            - The request is left anonymous rather than authenticated as them
-        """
-        User.objects.create_user(username="autologin", is_active=False)
-
-        request = self.factory.get("/")
-        request.user = AnonymousUser()
-        self._process(request)
-
-        self.assertFalse(request.user.is_authenticated)

src/paperless_ai/chat.py

@@ -2,6 +2,8 @@ import json
 import logging
 import sys
 
+from django.db.models import QuerySet
+
 from documents.models import Document
 from paperless.config import AIConfig
 from paperless_ai.client import AIClient
@@ -82,10 +84,21 @@ def _build_document_reference(
 
 
 def _get_document_references(
-    documents: list[Document],
+    documents: QuerySet[Document],
     top_nodes: list,
 ) -> list[dict[str, int | str]]:
-    allowed_documents = {doc.pk: doc for doc in documents}
+    candidate_ids: set[int] = set()
+    for node in top_nodes:
+        try:
+            candidate_ids.add(int(node.metadata["document_id"]))
+        except (KeyError, TypeError, ValueError):  # pragma: no cover
+            continue
+
+    if not candidate_ids:
+        return []
+
+    allowed_documents = {doc.pk: doc for doc in documents.filter(pk__in=candidate_ids)}
+
     references: list[dict[str, int | str]] = []
     seen_document_ids: set[int] = set()
 
@@ -119,7 +132,7 @@ def _format_chat_metadata_trailer(references: list[dict[str, int | str]]) -> str
 
 def stream_chat_with_documents(
     query_str: str,
-    documents: list[Document],
+    documents: QuerySet[Document],
     output_language: str | None = None,
 ):
     try:
@@ -135,10 +148,10 @@ def stream_chat_with_documents(
 
 def _stream_chat_with_documents(
     query_str: str,
-    documents: list[Document],
+    documents: QuerySet[Document],
     output_language: str | None = None,
 ):
-    if not documents:
+    if not documents.exists():
         yield CHAT_NO_CONTENT_MESSAGE
         return
 
@@ -148,7 +161,9 @@ def _stream_chat_with_documents(
     from llama_index.core.retrievers import VectorIndexRetriever
 
     config = AIConfig()
-    filters = _document_id_filters(str(doc.pk) for doc in documents)
+    filters = _document_id_filters(
+        str(pk) for pk in documents.values_list("pk", flat=True)
+    )
 
     # Hold the shared read lock for the whole operation: the query engine
     # retrieves from the vector store again during synthesis, so the connection

src/paperless_ai/tests/test_chat.py

@@ -3,10 +3,12 @@ from unittest.mock import MagicMock
 from unittest.mock import patch
 
 import pytest
+from django.db.models.signals import post_init
 from llama_index.core import settings as llama_settings
 from llama_index.core.embeddings.mock_embed_model import MockEmbedding
 from llama_index.core.schema import TextNode
 
+from documents.models import Document
 from documents.tests.factories import DocumentFactory
 from paperless_ai import chat
 from paperless_ai import indexing
@@ -36,16 +38,6 @@ def patch_embed_nodes():
         yield mock_embed_nodes
 
 
-@pytest.fixture
-def mock_document():
-    doc = MagicMock()
-    doc.pk = 1
-    doc.title = "Test Document"
-    doc.filename = "test_file.pdf"
-    doc.content = "This is the document content."
-    return doc
-
-
 def assert_chat_output(
     output: list[str],
     *,
@@ -61,6 +53,13 @@ def assert_chat_output(
     }
 
 
+def _fake_documents_queryset(pks: list[int]) -> MagicMock:
+    qs = MagicMock()
+    qs.exists.return_value = bool(pks)
+    qs.values_list.return_value = pks
+    return qs
+
+
 @pytest.mark.parametrize(
     ("output_language", "expected_language_line"),
     [
@@ -107,9 +106,10 @@ def test_build_refine_prompt(
 
 @pytest.mark.django_db
 def test_stream_chat_with_one_document_retrieval(
-    mock_document,
     patch_embed_nodes,
 ) -> None:
+    document = DocumentFactory.create(title="Test Document", content="ignored")
+    documents = Document.objects.filter(pk=document.pk)
     with (
         patch("paperless_ai.chat.AIClient") as mock_client_cls,
         patch("paperless_ai.chat.load_or_build_index") as mock_load_index,
@@ -124,22 +124,19 @@ def test_stream_chat_with_one_document_retrieval(
         mock_client_cls.return_value = mock_client
         mock_client.llm = MagicMock()
 
-        mock_node = TextNode(
-            text="This is node content.",
-            metadata={"document_id": str(mock_document.pk), "title": "Test Document"},
-        )
         mock_index = MagicMock()
-        # Simulate get_nodes returning nodes (content exists)
+        mock_index.vector_store.get_nodes.return_value = [
-        mock_index.vector_store.get_nodes.return_value = [mock_node]
+            TextNode(
+                text="This is node content.",
+                metadata={"document_id": str(document.pk), "title": "Test Document"},
+            ),
+        ]
         mock_load_index.return_value = mock_index
 
         mock_retriever_instance = MagicMock()
         mock_retriever_instance.retrieve.return_value = [
             MagicMock(
-                metadata={
+                metadata={"document_id": str(document.pk), "title": "Test Document"},
-                    "document_id": str(mock_document.pk),
-                    "title": "Test Document",
-                },
             ),
         ]
 
@@ -153,7 +150,7 @@ def test_stream_chat_with_one_document_retrieval(
             "llama_index.core.retrievers.VectorIndexRetriever",
             return_value=mock_retriever_instance,
         ):
-            output = list(stream_chat_with_documents("What is this?", [mock_document]))
+            output = list(stream_chat_with_documents("What is this?", documents))
 
         mock_query_engine.query.assert_called_once_with("What is this?")
         synthesizer_kwargs = mock_get_response_synthesizer.call_args.kwargs
@@ -166,13 +163,16 @@ def test_stream_chat_with_one_document_retrieval(
             output,
             expected_chunks=["chunk1", "chunk2"],
             expected_references=[
-                {"id": mock_document.pk, "title": "Test Document"},
+                {"id": document.pk, "title": "Test Document"},
             ],
         )
 
 
 @pytest.mark.django_db
 def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> None:
+    doc1 = DocumentFactory.create(title="Document 1", content="ignored")
+    doc2 = DocumentFactory.create(title="Document 2", content="ignored")
+    documents = Document.objects.filter(pk__in=[doc1.pk, doc2.pk])
     with (
         patch("paperless_ai.chat.AIClient") as mock_client_cls,
         patch("paperless_ai.chat.load_or_build_index") as mock_load_index,
@@ -184,23 +184,23 @@ def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> Non
         mock_client_cls.return_value = mock_client
         mock_client.llm = MagicMock()
 
-        mock_node1 = TextNode(
-            text="Content for doc 1.",
-            metadata={"document_id": "1", "title": "Document 1"},
-        )
-        mock_node2 = TextNode(
-            text="Content for doc 2.",
-            metadata={"document_id": "2", "title": "Document 2"},
-        )
         mock_index = MagicMock()
-        # Simulate get_nodes returning nodes (content exists)
+        mock_index.vector_store.get_nodes.return_value = [
-        mock_index.vector_store.get_nodes.return_value = [mock_node1, mock_node2]
+            TextNode(
+                text="Content for doc 1.",
+                metadata={"document_id": str(doc1.pk), "title": "Document 1"},
+            ),
+            TextNode(
+                text="Content for doc 2.",
+                metadata={"document_id": str(doc2.pk), "title": "Document 2"},
+            ),
+        ]
         mock_load_index.return_value = mock_index
 
         mock_retriever_instance = MagicMock()
         mock_retriever_instance.retrieve.return_value = [
-            MagicMock(metadata={"document_id": "1", "title": "Document 1"}),
+            MagicMock(metadata={"document_id": str(doc1.pk), "title": "Document 1"}),
-            MagicMock(metadata={"document_id": "2", "title": "Document 2"}),
+            MagicMock(metadata={"document_id": str(doc2.pk), "title": "Document 2"}),
         ]
 
         mock_response_stream = MagicMock()
@@ -210,14 +210,11 @@ def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> Non
         mock_query_engine_cls.return_value = mock_query_engine
         mock_query_engine.query.return_value = mock_response_stream
 
-        doc1 = MagicMock(pk=1, title="Document 1", filename="doc1.pdf")
-        doc2 = MagicMock(pk=2, title="Document 2", filename="doc2.pdf")
-
         with patch(
             "llama_index.core.retrievers.VectorIndexRetriever",
             return_value=mock_retriever_instance,
         ):
-            output = list(stream_chat_with_documents("What's up?", [doc1, doc2]))
+            output = list(stream_chat_with_documents("What's up?", documents))
 
         mock_query_engine.query.assert_called_once_with("What's up?")
         patch_embed_nodes.assert_not_called()
@@ -225,15 +222,15 @@ def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> Non
             output,
             expected_chunks=["chunk1", "chunk2"],
             expected_references=[
-                {"id": 1, "title": "Document 1"},
+                {"id": doc1.pk, "title": "Document 1"},
-                {"id": 2, "title": "Document 2"},
+                {"id": doc2.pk, "title": "Document 2"},
             ],
         )
 
 
 def test_stream_chat_empty_document_list() -> None:
     with patch("paperless_ai.chat.load_or_build_index") as mock_load_index:
-        output = list(stream_chat_with_documents("Any info?", []))
+        output = list(stream_chat_with_documents("Any info?", Document.objects.none()))
         mock_load_index.assert_not_called()
         assert output == ["Sorry, I couldn't find any content to answer your question."]
 
@@ -253,7 +250,9 @@ def test_stream_chat_no_matching_nodes() -> None:
         mock_index.vector_store.get_nodes.return_value = []
         mock_load_index.return_value = mock_index
 
-        output = list(stream_chat_with_documents("Any info?", [MagicMock(pk=1)]))
+        output = list(
+            stream_chat_with_documents("Any info?", _fake_documents_queryset([1])),
+        )
 
         assert output == ["Sorry, I couldn't find any content to answer your question."]
 
@@ -282,7 +281,9 @@ def test_stream_chat_unexpected_failure_returns_generic_error(caplog) -> None:
             )
             mock_retriever_cls.return_value = mock_retriever
 
-            output = list(stream_chat_with_documents("Any info?", [MagicMock(pk=1)]))
+            output = list(
+                stream_chat_with_documents("Any info?", _fake_documents_queryset([1])),
+            )
 
         assert output == [CHAT_ERROR_MESSAGE]
         assert "Failed to stream document chat response" in caplog.text
@@ -298,7 +299,12 @@ class TestStreamChatRetrieval:
     ) -> None:
         doc = DocumentFactory.create(content="hello world")
         # Nothing indexed for this document yet.
-        out = list(chat.stream_chat_with_documents("question?", [doc]))
+        out = list(
+            chat.stream_chat_with_documents(
+                "question?",
+                Document.objects.filter(pk=doc.pk),
+            ),
+        )
         assert chat.CHAT_NO_CONTENT_MESSAGE in out
 
     def test_chat_filter_contains_only_requested_document_ids(
@@ -332,7 +338,12 @@ class TestStreamChatRetrieval:
             side_effect=capture_retriever,
         )
 
-        list(chat.stream_chat_with_documents("question?", [included]))
+        list(
+            chat.stream_chat_with_documents(
+                "question?",
+                Document.objects.filter(pk=included.pk),
+            ),
+        )
 
         assert captured_filters, "VectorIndexRetriever was never constructed"
         filt = captured_filters[0]
@@ -340,3 +351,47 @@ class TestStreamChatRetrieval:
         filter_values = filt.filters[0].value
         assert str(included.pk) in filter_values
         assert str(excluded.pk) not in filter_values
+
+    @pytest.mark.django_db
+    def test_get_document_references_only_queries_referenced_documents(
+        self,
+        django_assert_num_queries,
+    ) -> None:
+        """Building references must not hydrate every document the caller is
+        permitted to see -- only the (<= CHAT_RETRIEVER_TOP_K) documents that
+        the retriever actually returned nodes for.
+        """
+        referenced = DocumentFactory.create(title="Referenced Document")
+        # Many more documents are "accessible" but never referenced by a node.
+        DocumentFactory.create_batch(200)
+
+        documents = Document.objects.all()
+        top_nodes = [
+            MagicMock(
+                metadata={
+                    "document_id": str(referenced.pk),
+                    "title": "Referenced Document",
+                },
+            ),
+        ]
+
+        hydrated_count = 0
+
+        def _count_hydration(sender, instance, **kwargs):
+            nonlocal hydrated_count
+            hydrated_count += 1
+
+        post_init.connect(_count_hydration, sender=Document)
+        try:
+            # One query: `documents.filter(pk__in=candidate_ids)` for the single
+            # referenced id. No query should scale with the 200 unreferenced documents.
+            with django_assert_num_queries(1):
+                references = chat._get_document_references(documents, top_nodes)
+        finally:
+            post_init.disconnect(_count_hydration, sender=Document)
+
+        # The bug this guards against: the old code hydrated all 201 accessible
+        # documents via `{doc.pk: doc for doc in documents}` before filtering by
+        # top_nodes. Only the referenced document should ever be constructed.
+        assert hydrated_count == 1
+        assert references == [{"id": referenced.pk, "title": "Referenced Document"}]

src/paperless_mail/tests/test_api.py

@@ -757,30 +757,3 @@ class TestAPIProcessedMails(DirectoriesMixin, APITestCase):
             format="json",
         )
         self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
-
-    def test_bulk_delete_processed_mails_rejects_mixed_batch_atomically(self) -> None:
-        """
-        GIVEN:
-            - A permitted processed mail and one the user may not delete
-        WHEN:
-            - API call bulk deletes both in a single request
-        THEN:
-            - The request is rejected and neither mail is deleted
-        """
-        user2 = User.objects.create_user(username="temp_admin2")
-        rule = MailRuleFactory()
-        # Created first so it sorts ahead of the forbidden mail, i.e. the
-        # permission check has to cover the whole batch before deleting rather
-        # than rejecting only once it reaches the forbidden one.
-        pm_owned = ProcessedMailFactory(rule=rule, owner=self.user)
-        pm_forbidden = ProcessedMailFactory(rule=rule, owner=user2)
-
-        response = self.client.post(
-            f"{self.ENDPOINT}bulk_delete/",
-            data={"mail_ids": [pm_owned.id, pm_forbidden.id]},
-            format="json",
-        )
-
-        self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
-        self.assertTrue(ProcessedMail.objects.filter(id=pm_owned.id).exists())
-        self.assertTrue(ProcessedMail.objects.filter(id=pm_forbidden.id).exists())

src/paperless_mail/views.py

@@ -27,7 +27,6 @@ from documents.filters import PermittedObjectsFilter
 from documents.models import PaperlessTask
 from documents.permissions import PaperlessObjectPermissions
 from documents.permissions import has_perms_owner_aware
-from documents.permissions import permitted_object_ids
 from documents.views import PassUserMixin
 from paperless.views import StandardPagination
 from paperless_mail.filters import ProcessedMailFilterSet
@@ -212,17 +211,10 @@ class ProcessedMailViewSet(PassUserMixin, ReadOnlyModelViewSet[ProcessedMail]):
         ):
             return HttpResponseBadRequest("mail_ids must be a list of integers")
         mails = ProcessedMail.objects.filter(id__in=mail_ids)
-        # Check every id up front so an unpermitted one rejects the whole
+        for mail in mails:
-        # request rather than deleting the mails ahead of it first.
+            if not has_perms_owner_aware(request.user, "delete_processedmail", mail):
-        if mails.exclude(
+                return HttpResponseForbidden("Insufficient permissions")
-            pk__in=permitted_object_ids(
+            mail.delete()
-                request.user,
-                ProcessedMail,
-                "delete_processedmail",
-            ),
-        ).exists():
-            return HttpResponseForbidden("Insufficient permissions")
-        mails.delete()
         return Response({"result": "OK", "deleted_mail_ids": mail_ids})
 
 

uv.lock

@@ -1298,16 +1298,16 @@ wheels = [
 
 [[package]]
 name = "fpdf2"
-version = "2.8.8"
+version = "2.8.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "defusedxml", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "fonttools", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "pillow", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/1e/bc/8fd4321aed40cadadddc8f311c65b6082346b252bca048f7b476d8f35d72/fpdf2-2.8.8.tar.gz", hash = "sha256:9e94e155e85e8053329a9a1fce8b566fd7a7c5bb79e98a1a3952d379b947c5b9", size = 374689, upload-time = "2026-08-09T23:32:45.334Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/27/f2/72feae0b2827ed38013e4307b14f95bf0b3d124adfef4d38a7d57533f7be/fpdf2-2.8.7.tar.gz", hash = "sha256:7060ccee5a9c7ab0a271fb765a36a23639f83ef8996c34e3d46af0a17ede57f9", size = 362351, upload-time = "2026-02-28T05:39:16.456Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/f5/be/af012eda9507494f28b99b077423806c43a11573eb6225dd46f19ae2d263/fpdf2-2.8.8-py3-none-any.whl", hash = "sha256:3557a478fc577a929c94aace9666aed4dcc432b5ab6764232e6a59f1ccd75f17", size = 337000, upload-time = "2026-08-09T23:32:43.728Z" },
+    { url = "https://files.pythonhosted.org/packages/66/0a/cf50ecffa1e3747ed9380a3adfc829259f1f86b3fdbd9e505af789003141/fpdf2-2.8.7-py3-none-any.whl", hash = "sha256:d391fc508a3ce02fc43a577c830cda4fe6f37646f2d143d489839940932fbc19", size = 327056, upload-time = "2026-02-28T05:39:14.619Z" },
 ]
 
 [[package]]
@@ -2927,8 +2927,8 @@ dependencies = [
     { name = "sqlite-vec", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "tantivy", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "tika-client", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "torch", version = "2.13.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.13.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
-    { name = "torch", version = "2.13.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
+    { name = "torch", version = "2.13.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
     { name = "watchfiles", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "whitenoise", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "zxing-cpp", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
@@ -4511,8 +4511,8 @@ dependencies = [
     { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "scikit-learn", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "scipy", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "torch", version = "2.13.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
+    { name = "torch", version = "2.13.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
-    { name = "torch", version = "2.13.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
+    { name = "torch", version = "2.13.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
     { name = "tqdm", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "transformers", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
@@ -4957,17 +4957,18 @@ name = "torch"
 version = "2.13.0"
 source = { registry = "https://download.pytorch.org/whl/cpu" }
 resolution-markers = [
+    "python_full_version >= '3.15' and sys_platform == 'darwin'",
     "python_full_version >= '3.12' and python_full_version < '3.15' and sys_platform == 'darwin'",
     "python_full_version < '3.12' and sys_platform == 'darwin'",
 ]
 dependencies = [
-    { name = "filelock", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
+    { name = "filelock", marker = "sys_platform == 'darwin'" },
-    { name = "fsspec", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
+    { name = "fsspec", marker = "sys_platform == 'darwin'" },
-    { name = "jinja2", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
+    { name = "jinja2", marker = "sys_platform == 'darwin'" },
-    { name = "networkx", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
+    { name = "networkx", marker = "sys_platform == 'darwin'" },
-    { name = "setuptools", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
+    { name = "setuptools", marker = "sys_platform == 'darwin'" },
-    { name = "sympy", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
+    { name = "sympy", marker = "sys_platform == 'darwin'" },
-    { name = "typing-extensions", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
+    { name = "typing-extensions", marker = "sys_platform == 'darwin'" },
 ]
 wheels = [
     { url = "https://download-r2.pytorch.org/whl/cpu/torch-2.13.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:e76f9bcecc52b8ff711239a2f7547d5353df95878ab232f0773c1d95928b92f8", upload-time = "2026-07-08T12:26:13Z" },
@@ -4982,7 +4983,6 @@ name = "torch"
 version = "2.13.0+cpu"
 source = { registry = "https://download.pytorch.org/whl/cpu" }
 resolution-markers = [
-    "python_full_version >= '3.15' and sys_platform == 'darwin'",
     "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux'",
     "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
     "python_full_version >= '3.15' and sys_platform == 'linux'",
@@ -4990,13 +4990,13 @@ resolution-markers = [
     "python_full_version < '3.12' and sys_platform == 'linux'",
 ]
 dependencies = [
-    { name = "filelock", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
+    { name = "filelock", marker = "sys_platform == 'linux'" },
-    { name = "fsspec", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
+    { name = "fsspec", marker = "sys_platform == 'linux'" },
-    { name = "jinja2", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
+    { name = "jinja2", marker = "sys_platform == 'linux'" },
-    { name = "networkx", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
+    { name = "networkx", marker = "sys_platform == 'linux'" },
-    { name = "setuptools", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
+    { name = "setuptools", marker = "sys_platform == 'linux'" },
-    { name = "sympy", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
+    { name = "sympy", marker = "sys_platform == 'linux'" },
-    { name = "typing-extensions", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
+    { name = "typing-extensions", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://download-r2.pytorch.org/whl/cpu/torch-2.13.0%2Bcpu-cp311-cp311-linux_s390x.whl", hash = "sha256:6e9817dbdf5ea76789babd46e457eac5bf14ff566cf85f8addbfdff2d56601ce", upload-time = "2026-07-08T19:27:52Z" },