Chore: use document type ids in the bulk edit selection_data test

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>

src/documents/permissions.py

@@ -576,12 +576,9 @@ def annotate_document_count_by_ids(
                        or CustomFieldInstance)
         related_object_field: field on the relation pointing back to queryset pk
         document_ids: the document ids to count against -- a concrete list/set,
-                       or a simple (already resolved) queryset of ids. Callers
-                       that need this filtered by a complex condition (e.g. a
-                       permission check) should resolve it to a concrete list
-                       first if the same ids will be reused across multiple
-                       calls, rather than passing the complex queryset itself
-                       into each -- see ``_get_selection_data_for_queryset``.
+                       or a simple (already resolved) queryset of ids. Keep
+                       the list small: it is embedded in the statement as
+                       literal parameters.
         target_field: field on the relation pointing to Document id
     """
 

src/documents/tests/test_api_bulk_edit.py

@@ -1141,8 +1141,8 @@ class TestBulkEditAPI(DirectoriesMixin, APITestCase):
         self.assertCountEqual(
             response.data["selected_document_types"],
             [
-                {"id": self.c1.id, "document_count": 1},
-                {"id": self.c2.id, "document_count": 0},
+                {"id": self.dt1.id, "document_count": 1},
+                {"id": self.dt2.id, "document_count": 0},
             ],
         )
 

src/documents/tests/test_api_documents.py

@@ -49,6 +49,7 @@ from documents.models import WorkflowTrigger
 from documents.search import get_backend
 from documents.signals.handlers import run_workflows
 from documents.tests.utils import ConsumeTaskMixin
+from documents.views import DocumentViewSet
 from paperless_testing.dirs import DirectoriesMixin
 from paperless_testing.factories import DocumentFactory
 from paperless_testing.factories import TagFactory
@@ -1755,6 +1756,106 @@ class TestDocumentApi(DirectoriesMixin, ConsumeTaskMixin, APITestCase):
         }
         self.assertEqual(counts_by_field[custom_field.id], 1)
 
+    def test_selection_data_counts_with_shared_by_filter(self) -> None:
+        """
+        GIVEN:
+            - Several documents owned by one user with the same correspondent
+              and document type, only one of which is shared
+        WHEN:
+            - Requesting the document list filtered by shared_by__id with
+              include_selection_data=true
+        THEN:
+            - Counts reflect only the shared document, not every document the
+              owner has with that correspondent or document type, however the
+              link-table lookups are batched
+        """
+        owner = User.objects.create_user(username="owner")
+        other = User.objects.create_user(username="other")
+        correspondent = Correspondent.objects.create(name="c1")
+        doc_type = DocumentType.objects.create(name="dt1")
+        tag = Tag.objects.create(name="tag")
+        docs = [
+            Document.objects.create(
+                checksum=str(i),
+                owner=owner,
+                correspondent=correspondent,
+                document_type=doc_type,
+            )
+            for i in range(3)
+        ]
+        for doc in docs:
+            doc.tags.add(tag)
+        grant_object(other, docs[0], "view_document")
+
+        for batch_size in (10_000, 1):
+            with (
+                self.subTest(link_batch_size=batch_size),
+                mock.patch.object(
+                    DocumentViewSet,
+                    "selection_data_link_batch_size",
+                    batch_size,
+                ),
+            ):
+                response = self.client.get(
+                    f"/api/documents/?shared_by__id={owner.id}"
+                    "&include_selection_data=true",
+                )
+
+                self.assertEqual(response.status_code, status.HTTP_200_OK)
+                self.assertEqual(response.data["count"], 1)
+                selection_data = response.data["selection_data"]
+                for key, obj in (
+                    ("selected_correspondents", correspondent),
+                    ("selected_document_types", doc_type),
+                    ("selected_tags", tag),
+                ):
+                    counts = {
+                        item["id"]: item["document_count"]
+                        for item in selection_data[key]
+                    }
+                    self.assertEqual(counts[obj.id], 1, key)
+
+    def test_selection_data_counts_documents_once_when_filter_joins(self) -> None:
+        """
+        GIVEN:
+            - A document matching a multi-valued filter through two tags
+        WHEN:
+            - Requesting the document list with include_selection_data=true
+        THEN:
+            - The document is counted once per correspondent, not once per
+              matching tag, however the link-table lookups are batched
+        """
+        correspondent = Correspondent.objects.create(name="c1")
+        tag_a = Tag.objects.create(name="a")
+        tag_b = Tag.objects.create(name="b")
+        both = Document.objects.create(checksum="1", correspondent=correspondent)
+        both.tags.add(tag_a, tag_b)
+        only_a = Document.objects.create(checksum="2", correspondent=correspondent)
+        only_a.tags.add(tag_a)
+
+        for batch_size in (10_000, 1):
+            with (
+                self.subTest(link_batch_size=batch_size),
+                mock.patch.object(
+                    DocumentViewSet,
+                    "selection_data_link_batch_size",
+                    batch_size,
+                ),
+            ):
+                response = self.client.get(
+                    f"/api/documents/?tags__id__in={tag_a.id},{tag_b.id}"
+                    "&include_selection_data=true",
+                )
+
+                self.assertEqual(response.status_code, status.HTTP_200_OK)
+                counts = {
+                    item["id"]: item["document_count"]
+                    for item in response.data["selection_data"][
+                        "selected_correspondents"
+                    ]
+                }
+                self.assertEqual(counts[correspondent.id], 2)
+
     def test_statistics(self) -> None:
         doc1 = Document.objects.create(
             title="none1",

src/documents/views.py

@@ -5,6 +5,7 @@ import platform
 import re
 import tempfile
 import zipfile
+from collections import Counter
 from collections import deque
 from collections.abc import Callable
 from datetime import datetime
@@ -168,7 +169,6 @@ from documents.permissions import PaperlessNotePermissions
 from documents.permissions import PaperlessObjectPermissions
 from documents.permissions import TrashPermissions
 from documents.permissions import ViewDocumentsPermissions
-from documents.permissions import annotate_document_count_by_ids
 from documents.permissions import annotate_document_count_for_related_queryset
 from documents.permissions import get_document_count_filter_for_user
 from documents.permissions import get_permission_grantees
@@ -1022,71 +1022,83 @@ class DocumentViewSet(
         "custom_field_",
     )
 
-    def _get_selection_data_for_queryset(self, queryset):
-        # Resolve once instead of once per model below. `queryset` can carry an
-        # arbitrarily expensive WHERE clause (user filters plus the permission
-        # filter); re-embedding it as a subquery inside 5 separate Count(...)
-        # calls forces the database to re-evaluate that whole thing 5 times, and
-        # -- for FK relations especially -- can defeat semi-join planning
-        # entirely at scale. A concrete id list is cheap to reuse.
-        # order_by() drops the default/user ordering -- irrelevant for a plain
-        # id list, but left in place it forces a sort over the full filtered
-        # set before the ids can even be collected.
-        document_ids = list(queryset.order_by().values_list("pk", flat=True))
+    # Matching document ids are looked up in the link tables in batches of this
+    # size: one literal IN (...) over every match is a multi-MB statement per
+    # relation and, on SQLite, exceeds the bound-parameter limit.
+    selection_data_link_batch_size = 10_000
 
-        correspondents = Correspondent.objects.annotate(
-            document_count=Count(
-                "documents",
-                filter=Q(documents__id__in=document_ids),
-                distinct=True,
+    def _get_selection_data_for_queryset(self, queryset):
+        # The filtered queryset is evaluated once, as the page's own filter is,
+        # and never wrapped in a subquery: re-deriving a join or a HAVING
+        # (shared_by__id) per statement is very slow on some databases, and
+        # regrouping the queryset by another column would miscount.
+        # order_by() drops the default/user ordering, which only costs a sort.
+        correspondents: Counter = Counter()
+        document_types: Counter = Counter()
+        storage_paths: Counter = Counter()
+        document_ids: list[int] = []
+        seen: set[int] = set()
+        rows = queryset.order_by().values_list(
+            "pk",
+            "correspondent_id",
+            "document_type_id",
+            "storage_path_id",
+        )
+        for pk, correspondent, document_type, storage_path in rows:
+            # A filter can join, repeating a document row.
+            if pk in seen:
+                continue
+            seen.add(pk)
+            document_ids.append(pk)
+            # Documents without a value count under None, which selection()
+            # never looks up.
+            correspondents[correspondent] += 1
+            document_types[document_type] += 1
+            storage_paths[storage_path] += 1
+
+        def link_table_counts(link_model, field_name: str) -> Counter:
+            result: Counter = Counter()
+            batch_size = self.selection_data_link_batch_size
+            for start in range(0, len(document_ids), batch_size):
+                result.update(
+                    dict(
+                        link_model.objects.filter(
+                            document_id__in=document_ids[start : start + batch_size],
+                        )
+                        .values_list(field_name)
+                        .annotate(document_count=Count("document_id")),
                     ),
                 )
-        document_types = DocumentType.objects.annotate(
-            document_count=Count(
-                "documents",
-                filter=Q(documents__id__in=document_ids),
-                distinct=True,
-            ),
-        )
-        storage_paths = StoragePath.objects.annotate(
-            document_count=Count(
-                "documents",
-                filter=Q(documents__id__in=document_ids),
-                distinct=True,
-            ),
-        )
-        # Tag and CustomField reach Document through an M2M/through-model table;
-        # a plain Count(filter=...) there is a much more expensive plan than the
-        # FK relations above once the bridge table is large -- see
-        # annotate_document_count_by_ids() for why.
-        tags = annotate_document_count_by_ids(
-            Tag.objects.all(),
-            through_model=Document.tags.through,
-            related_object_field="tag_id",
-            document_ids=document_ids,
-        )
-        custom_fields = annotate_document_count_by_ids(
-            CustomField.objects.all(),
-            through_model=CustomFieldInstance,
-            related_object_field="field_id",
-            document_ids=document_ids,
-        )
+            return result
+
+        def selection(model, counts: Counter) -> list[dict[str, int]]:
+            # Every object is listed, with 0 for those with no matching document.
+            return [
+                {"id": pk, "document_count": counts.get(pk, 0)}
+                for pk in model.objects.values_list("pk", flat=True)
+            ]
+
         return {
-            "selected_correspondents": [
-                {"id": t.id, "document_count": t.document_count} for t in correspondents
-            ],
-            "selected_tags": [
-                {"id": t.id, "document_count": t.document_count} for t in tags
-            ],
-            "selected_document_types": [
-                {"id": t.id, "document_count": t.document_count} for t in document_types
-            ],
-            "selected_storage_paths": [
-                {"id": t.id, "document_count": t.document_count} for t in storage_paths
-            ],
-            "selected_custom_fields": [
-                {"id": t.id, "document_count": t.document_count} for t in custom_fields
-            ],
+            "selected_correspondents": selection(
+                Correspondent,
+                correspondents,
+            ),
+            "selected_tags": selection(
+                Tag,
+                link_table_counts(Document.tags.through, "tag_id"),
+            ),
+            "selected_document_types": selection(
+                DocumentType,
+                document_types,
+            ),
+            "selected_storage_paths": selection(
+                StoragePath,
+                storage_paths,
+            ),
+            "selected_custom_fields": selection(
+                CustomField,
+                link_table_counts(CustomFieldInstance, "field_id"),
+            ),
         }
 
     @classmethod