fix(benchmark): reset SQLite with plain DELETEs instead of ORM deletes

The ORM path fires per-document delete signals, which is very slow at the large tier and fails when the cache backend is unreachable. Matches the TRUNCATE-based resets on the other backends. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
feat(benchmark): seed custom fields and time the list request with selection data
2026-10-30 19:45:44 +00:00 · 2026-10-30 10:21:57 -07:00 · 2026-10-30 10:21:56 -07:00 · 2026-10-30 10:21:55 -07:00 · 2026-10-30 10:18:50 -07:00 · 2026-10-30 10:18:50 -07:00
43 changed files with 1421 additions and 127 deletions
@@ -0,0 +1,188 @@
+---
+name: paperless-benchmarking
+description: Use when profiling paperless-ngx performance, running `manage.py benchmark`, investigating a slow query or endpoint, or deciding whether a profiling finding should become a permanent registered scenario. Covers command reference, the fork/merge-back branch workflow for perf investigations, and how to read query-plan output.
+---
+
+# Paperless-ngx Benchmarking
+
+This repo has a built-in benchmarking/profiling tool: `manage.py benchmark`, in
+the `paperless_benchmark` Django app. It replaces ad hoc standalone scripts —
+use it instead of writing new one-off seed/timing scripts.
+
+## Command reference
+
+```
+manage.py benchmark seed --tier {home,medium,large} [--reset --yes-i-know-this-wipes-the-database] [--seed N]
+manage.py benchmark run --repeat 5 [--label baseline]
+manage.py benchmark profile <scenario_name> [--repeat 5] [--explain]
+manage.py benchmark list-scenarios
+```
+
+- **`seed`** builds a realistic dataset at one of three scales: `home` (500
+  documents — fast, use this for iteration), `medium` (20,000 — the default
+  when `--tier` is omitted; a multi-minute seed), `large` (360,000 — matches
+  the scale reported in real large-install bug reports; slow, only use it
+  when a finding needs confirming at real scale). `--reset` wipes any
+  previously-seeded benchmark data first — but it is destructive and
+  irreversible: it deletes **all** users, **all** groups, and **all**
+  documents/tags/correspondents/document types/storage paths in the target
+  database, not just benchmark-created rows. Only run it against a disposable
+  benchmark database, never a real install. Because of that, `--reset` also
+  requires passing `--yes-i-know-this-wipes-the-database` in the same
+  invocation, or the command raises an error and does nothing. Omit both
+  flags if you want to layer more data onto an existing seed instead. `seed`
+  creates two named users, `perf_target` (mixed owned/shared documents,
+  realistic guardian permission grants) and `perf_admin` (superuser), plus a
+  general user/group pool with realistic permission-row ratios.
+- **`run`** times the 4 built-in API endpoint benchmarks
+  (`/api/documents/`, `/api/documents/?page_size=50`, `/api/tags/?page_size=100000`,
+  and the UI's list request with `include_selection_data=true`) for both
+  `perf_target` and `perf_admin`, reporting min/median/max wall-clock and SQL
+  query count. Requires `seed` to have already run — it reuses that data, it
+  does not seed its own.
+- **`profile`** times one named scenario from the registry (see
+  `list-scenarios`) via best-of-N repeat timing and SQL query count, against
+  `perf_target`. `--explain` additionally captures and prints the query plan:
+  real `EXPLAIN ANALYZE` execution stats on PostgreSQL/MariaDB, or
+  `EXPLAIN QUERY PLAN` (plan only, no real timing/row counts — clearly labeled
+  as such) on SQLite. Like `run`, `profile` requires `seed` to have already
+  run — it does not seed its own data either.
+- Every `run`/`profile` invocation appends a JSON line to
+  `benchmark_results/history.jsonl` at the repo root (local-only, gitignored —
+  never commit this file). Use it to compare a `before`/`after` pair across
+  two invocations without hand-copying numbers.
+- Full chain example: `seed --reset` once, then `run` and `profile` as many
+  times as you want against that same seeded data — no need to reseed between
+  them.
+
+## Adding a new scenario
+
+A "scenario" is a named, registered query/operation that `profile` can time
+and explain. To add one, edit `src/paperless_benchmark/scenarios.py`: write a
+`_<name>_run(user)` function (returns whatever `run_profile` should time) and
+optionally a `_<name>_queryset(user)` function (returns the `QuerySet` for
+`--explain` to analyze), then `register(Scenario(name=..., describe=...,
+run=..., queryset_for_explain=...))` at module level. Both functions receive
+the already-seeded `perf_target` user — they should not seed their own data.
+
+## Branch workflow
+
+`tools/benchmark-management-commands` is a **long-lived tooling branch**, not
+a feature branch that gets merged and closed:
+
+1. It is periodically brought up to date with `dev` (merge `dev` into it) so
+   the tooling doesn't drift from the schema/codebase it profiles. Do this
+   before starting a new investigation if it's been a while since the last
+   sync.
+2. **Every performance investigation forks its own branch from
+   `tools/benchmark-management-commands`** (not from `dev`). Do the
+   investigation there: write throwaway profiling code, try fixes, capture
+   before/after numbers.
+3. **That investigation branch never merges into `dev` or production.** Its
+   only job is to produce evidence and, optionally, a reusable scenario.
+4. If the investigation turns up a scenario worth keeping permanently (see
+   "When to graduate a scenario" below), open a PR that adds **just that
+   scenario** back into `tools/benchmark-management-commands` — not the rest
+   of the investigation branch's throwaway code.
+5. Any actual production fix the investigation motivates (e.g. an ORM query
+   change) goes into its own normal feature branch off `dev`, following the
+   project's regular contribution process — profiling evidence informs that
+   PR's description, but the profiling code itself does not travel with it.
+
+## Reading query-plan output
+
+- **PostgreSQL** `EXPLAIN ANALYZE`: look for `Seq Scan` on a large table
+  (missing index), a large gap between `rows=N` (planner's estimate) and the
+  actual row count in parentheses (stale statistics or a bad cardinality
+  estimate), and nested-loop joins driven by an outer relation with many
+  rows (usually the N+1 pattern this tool exists to catch).
+- **MariaDB**: verified against a real MariaDB 12.3 container that MariaDB
+  does NOT accept MySQL 8.0.18+'s `EXPLAIN ANALYZE` syntax (it's a 1064
+  syntax error) -- `capture_explain()` instead runs MariaDB's own
+  `ANALYZE <statement>` form (no `EXPLAIN` keyword), which returns a
+  tabular plan with real per-row execution columns: `rows` (estimate) vs.
+  `r_rows` (actual), and `filtered` vs. `r_filtered`. A large gap between
+  `rows` and `r_rows`, or `type: ALL` (full table scan) on a large table,
+  are the signals to look for -- the same underlying concerns as Postgres's
+  `Seq Scan`/estimate-vs-actual gap, just in MariaDB's column-based output
+  instead of Postgres's nested-tree text format.
+- **SQLite** `EXPLAIN QUERY PLAN`: no real timing/row-count data, only the
+  chosen access path (`SCAN` vs `SEARCH`, which index if any). Useful for
+  confirming an index is even being considered, not for judging real-world
+  cost — corroborate any SQLite finding against Postgres/MariaDB before
+  trusting it, since planner behavior differs meaningfully between them.
+- Compare query **count**, not just timing, between before/after: a fix that
+  keeps the same wall-clock time but drops query count from O(n) to O(1) is
+  still a real, durable improvement — timing alone is noisy and
+  environment-dependent, query count is not.
+
+## Cleaning up after an interrupted run
+
+If a `seed`/`run`/`profile` invocation gets killed mid-run (Ctrl-C, `kill -9`,
+a timed-out SSH session, etc.), check whether it left anything behind before
+trusting the next benchmark's numbers. This was verified for real: a
+`benchmark seed --tier large --reset ...` was started against both a fresh
+PostgreSQL 18 container and a fresh MariaDB 12.3 container and `kill -9`'d a
+few seconds into document seeding. In both cases, the database-side
+connection disappeared immediately -- no stuck backend, no lingering query,
+no held lock was observed in either backend once the killed process's PID
+was confirmed gone. That said, this was one interruption point (mid
+bulk-seed, between chunks); a run killed mid-query, or a driver/network
+hiccup that doesn't cleanly close the socket, could behave differently, so
+still check before trusting a number if any run in the session was
+interrupted:
+
+- **PostgreSQL**: look for leftover connections against the benchmark
+  database:
+
+  ```sql
+  SELECT pid, state, query, query_start
+  FROM pg_stat_activity
+  WHERE datname = current_database() AND pid <> pg_backend_pid();
+  ```
+
+  If a stuck backend shows up, clear it with:
+
+  ```sql
+  SELECT pg_terminate_backend(pid)
+  FROM pg_stat_activity
+  WHERE datname = current_database() AND pid <> pg_backend_pid();
+  ```
+
+- **MariaDB**: look for leftover connections/queries:
+
+  ```sql
+  SHOW FULL PROCESSLIST;
+  ```
+
+  If a stuck connection shows up (anything other than your current admin
+  session), clear it with:
+
+  ```sql
+  KILL <id>;
+  ```
+
+A stray connection left running concurrently with a subsequent benchmark run
+would add real, contaminating load (extra queries competing for the same
+rows, possibly held locks slowing the next run's timings) -- cheap to rule
+out, expensive to silently trust a number that was actually measured
+alongside a zombie connection.
+
+## When to graduate a one-off finding into a permanent scenario
+
+Register a scenario (rather than leaving it as throwaway code on the
+investigation branch) when **both** are true:
+
+- The query pattern is one this codebase is likely to regress on again (e.g.
+  it involves a permission-check join, a bulk operation, or anything else
+  with an easy-to-reintroduce N+1) — not a one-time fluke specific to this
+  investigation.
+- Re-running it later, against a fresh seed, would still produce a
+  meaningful signal (it doesn't depend on investigation-specific throwaway
+  data or a fix that's already permanently landed and can't regress the same
+  way).
+
+If a finding doesn't meet both bars, keep it as disposable code on the
+investigation branch and let the branch's evidence (captured in the PR
+description of whatever production fix it motivates) be the permanent
+record instead.
@@ -115,3 +115,6 @@ celerybeat-schedule*

 # Git worktree local folder
 .worktrees
+
+# Benchmark tooling output (local only, never committed)
+/benchmark_results/
@@ -10334,18 +10334,18 @@
          <context context-type="linenumber">294,295</context>
        </context-group>
      </trans-unit>
-      <trans-unit id="2179847500064178686" datatype="html">
-        <source>Edit document</source>
+      <trans-unit id="3420321797707163677" datatype="html">
+        <source>Preview document</source>
        <context-group purpose="location">
          <context context-type="sourcefile">src/app/components/document-list/document-list.component.html</context>
          <context context-type="linenumber">328</context>
        </context-group>
      </trans-unit>
-      <trans-unit id="3420321797707163677" datatype="html">
-        <source>Preview document</source>
+      <trans-unit id="2179847500064178686" datatype="html">
+        <source>Edit document</source>
        <context-group purpose="location">
          <context context-type="sourcefile">src/app/components/document-list/document-list.component.html</context>
-          <context context-type="linenumber">329</context>
+          <context context-type="linenumber">331</context>
        </context-group>
      </trans-unit>
      <trans-unit id="4512084577073831437" datatype="html">
@@ -1,10 +1,3 @@
 .custom-fields-dropdown {
    min-width: 300px;
-
-    // correct position on mobile
-    @media (max-width: 575.98px) {
-        &.show {
-            margin-left: -245px !important;
-        }
-    }
 }
@@ -308,7 +308,7 @@
                  </tr>
                  <tr class="align-middle">
                    <td i18n>Original SHA256 checksum</td>
-                    <td><span class="badge bg-light font-monospace text-wrap text-break text-start">{{metadata()?.original_checksum}}</span></td>
+                    <td><span class="badge bg-light text-dark font-monospace text-wrap text-break text-start">{{metadata()?.original_checksum}}</span></td>
                  </tr>
                  <tr>
                    <td i18n>Original file size</td>
@@ -208,7 +208,7 @@
                  i18n>Correspondent</th>
              }
              @if (activeDisplayFields.includes(DisplayField.TITLE)) {
-                <th class="cursor-pointer"
+                <th class="cursor-pointer ps-5"
                  pngxSortable="title"
                  title="Sort by title" i18n-title
                  [currentSortField]="list.sortField"
@@ -322,13 +322,13 @@
                  </td>
                }
                @if (activeDisplayFields.includes(DisplayField.TITLE) || activeDisplayFields.includes(DisplayField.TAGS)) {
-                  <td width="30%">
+                  <td width="30%" class="position-relative" [class.ps-5]="activeDisplayFields.includes(DisplayField.TITLE)">
                    @if (activeDisplayFields.includes(DisplayField.TITLE)) {
                      <div class="d-inline-block" (mouseleave)="popupPreview.close()">
-                        <a routerLink="/documents/{{d.id}}" title="Edit document" i18n-title style="overflow-wrap: anywhere;">{{d.title | documentTitle}}</a>
-                        <pngx-preview-popup [document]="d" linkClasses="btn btn-sm btn-link text-secondary" linkTitle="Preview document" (click)="$event.stopPropagation()" i18n-linkTitle #popupPreview>
+                        <pngx-preview-popup class="position-absolute start-0" [document]="d" linkClasses="btn btn-sm btn-link text-secondary" linkTitle="Preview document" (click)="$event.stopPropagation()" i18n-linkTitle #popupPreview>
                          <i-bs name="eye"></i-bs>
                        </pngx-preview-popup>
+                        <a routerLink="/documents/{{d.id}}" title="Edit document" i18n-title style="overflow-wrap: anywhere;">{{d.title | documentTitle}}</a>
                      </div>
                    }
                    @if (activeDisplayFields.includes(DisplayField.TAGS)) {
@@ -87,6 +87,10 @@ $paperless-card-breakpoints: (
  }
 }

+.table .ps-5 {
+  padding-left: 2.2rem !important;
+}
+
 a {
  cursor: pointer;
 }
@@ -10,6 +10,9 @@ from typing import TYPE_CHECKING
 import regex as regex_mod
 from django.conf import settings
 from pdf2image import convert_from_path
+from pikepdf import Page
+from pikepdf import PasswordError
+from pikepdf import Pdf

 from documents.converters import convert_from_tiff_to_pdf
 from documents.data_models import ConsumableDocument
@@ -31,7 +34,6 @@ from documents.utils import maybe_override_pixel_limit
 from paperless.config import BarcodeConfig

 if TYPE_CHECKING:
-    from pikepdf import Page
    from PIL import Image

 logger = logging.getLogger("paperless.barcodes")
@@ -280,8 +282,6 @@ class BarcodePlugin(ConsumeTaskPlugin):
        # No op if not a TIFF
        self.convert_from_tiff_to_pdf()

-        from pikepdf import PasswordError
-
        try:
            self.barcodes = scan_pdf(
                self.pdf_file,
@@ -433,8 +433,6 @@ class BarcodePlugin(ConsumeTaskPlugin):

        document_paths = []
        fname: str = self.input_doc.original_file.stem
-        from pikepdf import Pdf
-
        with Pdf.open(self.pdf_file) as input_pdf:
            # Start with an empty document
            current_document: list[Page] = []
@@ -518,8 +516,6 @@ def scan_pdf(pdf_path: Path, settings: BarcodeConfig, work_dir: Path) -> list[Ba
    """
    barcodes: list[Barcode] = []

-    from pikepdf import Pdf
-
    with Pdf.open(pdf_path) as pdf:
        num_of_pages = len(pdf.pages)
    logger.debug(f"PDF has {num_of_pages} pages")
@@ -1,5 +1,6 @@
 from pathlib import Path

+import img2pdf
 from PIL import Image

 from documents.utils import copy_basic_file_stats
@@ -16,8 +17,6 @@ def convert_from_tiff_to_pdf(tiff_path: Path, target_directory: Path) -> Path:

    Returns the path of the PDF created.
    """
-    import img2pdf
-
    # override pixel setting if needed
    maybe_override_pixel_limit()

@@ -6,6 +6,7 @@ from pathlib import Path
 from typing import Final

 from django.conf import settings
+from pikepdf import Pdf

 from documents.consumer import ConsumerError
 from documents.converters import convert_from_tiff_to_pdf
@@ -84,8 +85,6 @@ class CollatePlugin(NoCleanupPluginMixin, NoSetupPluginMixin, ConsumeTaskPlugin)
                valid_staging_exists = True

        if valid_staging_exists:
-            from pikepdf import Pdf
-
            try:
                # Collate pages from second PDF in reverse order
                with Pdf.open(staging) as pdf1, Pdf.open(pdf_file) as pdf2:
@@ -11,6 +11,7 @@ from decimal import InvalidOperation
 from typing import TYPE_CHECKING
 from typing import Any

+import dateparser
 from django.conf import settings
 from django.contrib.contenttypes.models import ContentType
 from django.db.models import Case
@@ -349,8 +350,6 @@ class DateQueryField(serializers.DateField):
            if not isinstance(value, str):
                raise

-        import dateparser
-
        try:
            parsed = dateparser.parse(
                value,
@@ -14,6 +14,8 @@ from __future__ import annotations
 from typing import TYPE_CHECKING
 from typing import NamedTuple

+import pikepdf
+
 if TYPE_CHECKING:
    from collections.abc import Callable
    from collections.abc import Iterable
@@ -41,8 +43,6 @@ def rotate_pdf(src: Path, dst: Path, degrees: int) -> None:
    Rotate every page relatively on the opened document, not a rebuild, so Info,
    XMP and outlines are kept. ``src`` is not modified.
    """
-    import pikepdf
-
    with pikepdf.open(src) as pdf:
        for page in pdf.pages:
            page.rotate(degrees, relative=True)
@@ -58,8 +58,6 @@ def remove_pages(src: Path, dst: Path, pages: Iterable[int]) -> None:
    Duplicates are ignored. Pages are removed highest first so earlier removals
    never shift the index of later ones.
    """
-    import pikepdf
-
    unique = sorted(set(pages))
    _require_positive(unique)
    with pikepdf.open(src) as pdf:
@@ -83,8 +81,6 @@ def build_pdfs(
    (Info, XMP, outlines) is not carried over. Returns the written paths in output
    order.
    """
-    import pikepdf
-
    for specs, _ in outputs:
        _require_positive(spec.page for spec in specs)

@@ -144,8 +140,6 @@ def needs_decrypt(src: Path) -> bool:
    True if ``src`` is encrypted. A PDF that needs a password to open at all
    counts as encrypted.
    """
-    import pikepdf
-
    try:
        with pikepdf.open(src) as pdf:
            return bool(pdf.is_encrypted)
@@ -160,8 +154,6 @@ def decrypt_pdf(src: Path, make_dst: Callable[[], Path], password: str) -> Path:
    ``make_dst`` is only called once the password has been accepted, so a wrong
    password never leaves a destination behind.
    """
-    import pikepdf
-
    with pikepdf.open(src, password=password) as pdf:
        pdf.remove_unreferenced_resources()
        dst = make_dst()
@@ -178,8 +170,6 @@ class PdfMerger:
    """

    def __init__(self) -> None:
-        import pikepdf
-
        self._pdf = pikepdf.new()
        self._version: str = self._pdf.pdf_version

@@ -195,8 +185,6 @@ class PdfMerger:
        self._pdf.close()

    def add(self, path: Path) -> None:
-        import pikepdf
-
        with pikepdf.open(str(path)) as pdf:
            self._version = max(self._version, pdf.pdf_version)
            self._pdf.pages.extend(pdf.pages)
@@ -7,6 +7,8 @@ from dataclasses import dataclass
 from types import TracebackType
 from typing import Self

+import dateparser
+
 logger = logging.getLogger(__name__)


@@ -78,8 +80,6 @@ class DateParserPluginBase(ABC):

        Uses configuration from `self.config`.
        """
-        import dateparser
-
        try:
            return dateparser.parse(
                date_string,
@@ -76,6 +76,9 @@ from paperless.logging import consume_task_id
 from paperless.parsers import ParserContext
 from paperless.parsers.registry import get_parser_registry
 from paperless_ai.exceptions import LLMTimeoutError
+from paperless_ai.indexing import llm_index_add_or_update_document
+from paperless_ai.indexing import llm_index_remove_document
+from paperless_ai.indexing import update_llm_index

 if settings.AUDIT_LOG_ENABLED:
    from auditlog.models import LogEntry
@@ -336,8 +339,6 @@ def bulk_update_documents(document_ids) -> None:

    ai_config = AIConfig()
    if ai_config.llm_index_enabled:
-        from paperless_ai.indexing import update_llm_index
-
        update_llm_index(
            rebuild=False,
            document_ids=document_ids,
@@ -498,8 +499,6 @@ def update_document_content_maybe_archive_file(

            ai_config = AIConfig()
            if ai_config.llm_index_enabled:
-                from paperless_ai.indexing import llm_index_add_or_update_document
-
                llm_index_add_or_update_document(document)

            clear_document_caches(document.pk)
@@ -801,15 +800,11 @@ def apply_ai_suggestions(self, action_id: int, document_id: int) -> None:

@shared_task
 def update_document_in_llm_index(document) -> None:
-    from paperless_ai.indexing import llm_index_add_or_update_document
-
    llm_index_add_or_update_document(document)


@shared_task
 def remove_document_from_llm_index(document) -> None:
-    from paperless_ai.indexing import llm_index_remove_document
-
    llm_index_remove_document(document)


@@ -71,7 +71,7 @@ class TestParseString:
        ):
            # We still need to mock dateparser.parse to force the exception
            mocker.patch(
-                "dateparser.parse",
+                "documents.plugins.date_parsing.base.dateparser.parse",
                side_effect=ValueError(
                    "Parsing error: 01/01/2024",
                ),
@@ -260,7 +260,7 @@ class TestRegexDateParser:
        parser = RegexDateParserPlugin(base_config)

        # Patch the dateparser.parse
-        target = "dateparser.parse"
+        target = "documents.plugins.date_parsing.base.dateparser.parse"

        def fake_parse(
            date_string: str,
@@ -335,7 +335,7 @@ class TestRegexDateParser:
        )
        parser = RegexDateParserPlugin(cfg)

-        target = "dateparser.parse"
+        target = "documents.plugins.date_parsing.base.dateparser.parse"

        def fake_parse(
            date_string: str,
@@ -400,7 +400,7 @@ class TestRegexDateParser:
        parser = RegexDateParserPlugin(cfg)

        # Patch the module's dateparser.parse so we can inspect calls
-        target = "dateparser.parse"
+        target = "documents.plugins.date_parsing.base.dateparser.parse"

        def fake_parse(
            date_string: str,
@@ -1070,7 +1070,7 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):

        with (
            patch("documents.tasks.llmindex_index.apply_async") as mock_update,
-            patch("paperless_ai.indexing.llm_index_exists") as mock_exists,
+            patch("paperless.views.llm_index_exists") as mock_exists,
        ):
            mock_exists.return_value = False
            self.client.patch(
@@ -1095,7 +1095,7 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):

        with (
            patch("documents.tasks.llmindex_index.apply_async") as mock_update,
-            patch("paperless_ai.indexing.llm_index_exists", return_value=False),
+            patch("paperless.views.llm_index_exists", return_value=False),
        ):
            self.client.patch(
                f"{self.ENDPOINT}1/",
@@ -1115,7 +1115,7 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):

        with (
            patch("documents.tasks.llmindex_index.apply_async") as mock_update,
-            patch("paperless_ai.indexing.llm_index_exists") as mock_exists,
+            patch("paperless.views.llm_index_exists") as mock_exists,
        ):
            mock_exists.return_value = True
            self.client.patch(
@@ -1136,7 +1136,7 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):

        with (
            patch("documents.tasks.llmindex_index.apply_async") as mock_update,
-            patch("paperless_ai.indexing.llm_index_exists") as mock_exists,
+            patch("paperless.views.llm_index_exists") as mock_exists,
        ):
            mock_exists.return_value = True
            self.client.patch(
@@ -1174,7 +1174,7 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):

        with (
            patch("documents.tasks.llmindex_index.apply_async") as mock_update,
-            patch("paperless_ai.indexing.llm_index_exists") as mock_exists,
+            patch("paperless.views.llm_index_exists") as mock_exists,
        ):
            mock_exists.return_value = True
            self.client.patch(
@@ -61,7 +61,7 @@ class TestChatStreamingViewInputValidation(APITestCase):
                return_value=self._mock_ai_enabled(),
            ),
            mock.patch(
-                "paperless_ai.chat.stream_chat_with_documents",
+                "documents.views.stream_chat_with_documents",
                return_value=iter(chunks),
            ),
        ):
@@ -104,7 +104,7 @@ class TestChatStreamingViewUnrestrictedFlag:
        """
        mocker.patch("documents.views.AIConfig").return_value.ai_enabled = True
        return mocker.patch(
-            "paperless_ai.chat.stream_chat_with_documents",
+            "documents.views.stream_chat_with_documents",
            return_value=iter(()),
        )

@@ -1110,7 +1110,7 @@ class TestVersionActionPermissions(DirectoriesMixin, APITestCase):
            self.assertEqual(response.status_code, 403)
            with (
                mock.patch("documents.views.AIConfig") as ai_config,
-                mock.patch("paperless_ai.chat.stream_chat_with_documents") as chat,
+                mock.patch("documents.views.stream_chat_with_documents") as chat,
            ):
                ai_config.return_value.ai_enabled = True
                response = self.client.post(
@@ -2686,7 +2686,7 @@ class TestDocumentApi(DirectoriesMixin, ConsumeTaskMixin, APITestCase):
        response = self.client.get("/api/documents/34676/suggestions/")
        self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)

-    @mock.patch("paperless_ai.ai_classifier.get_ai_document_classification")
+    @mock.patch("documents.views.get_ai_document_classification")
    @override_settings(AI_ENABLED=True)
    def test_suggestions_still_uses_classifier_when_ai_enabled(
        self,
@@ -572,7 +572,7 @@ class TestAiChatAllDocumentsPermissionBoundary:
    ENDPOINT = "/api/documents/chat/"

    @override_settings(AI_ENABLED=True)
-    @patch("paperless_ai.chat.stream_chat_with_documents")
+    @patch("documents.views.stream_chat_with_documents")
    def test_chat_all_documents_excludes_unshared_document(self, mock_stream_chat):
        mock_stream_chat.return_value = iter([b"data"])

@@ -322,7 +322,7 @@ class TestUpdateContent(DirectoriesMixin, TestCase):
        )

    @override_settings(AI_ENABLED=True, LLM_EMBEDDING_BACKEND="huggingface")
-    @mock.patch("paperless_ai.indexing.llm_index_add_or_update_document")
+    @mock.patch("documents.tasks.llm_index_add_or_update_document")
    @mock.patch("documents.search.get_backend")
    def test_update_content_version_updates_llm_index(
        self,
@@ -450,7 +450,7 @@ class TestAIIndex(DirectoriesMixin, TestCase):
            checksum="wow",
        )
        with mock.patch(
-            "paperless_ai.indexing.llm_index_add_or_update_document",
+            "documents.tasks.llm_index_add_or_update_document",
        ) as llm_index_add_or_update_document:
            tasks.update_document_in_llm_index(doc)
            llm_index_add_or_update_document.assert_called_once_with(doc)
@@ -470,7 +470,7 @@ class TestAIIndex(DirectoriesMixin, TestCase):
            checksum="wow",
        )
        with mock.patch(
-            "paperless_ai.indexing.llm_index_remove_document",
+            "documents.tasks.llm_index_remove_document",
        ) as llm_index_remove_document:
            tasks.remove_document_from_llm_index(doc)
            llm_index_remove_document.assert_called_once_with(doc)
@@ -495,7 +495,7 @@ class TestAIIndex(DirectoriesMixin, TestCase):
                "documents.tasks.update_document_in_llm_index",
            ) as update_document_in_llm_index,
            mock.patch(
-                "paperless_ai.indexing.update_llm_index",
+                "documents.tasks.update_llm_index",
            ) as update_llm_index,
        ):
            doc_ids = [doc.pk for doc in docs]
@@ -474,7 +474,7 @@ class TestAISuggestions(DirectoriesMixin, TestCase):
        self.assertEqual(response.json()["tags"], [])
        self.assertEqual(response.json()["suggested_tags"], [])

-    @patch("paperless_ai.ai_classifier.get_ai_document_classification")
+    @patch("documents.views.get_ai_document_classification")
    @override_settings(
        AI_ENABLED=True,
        LLM_BACKEND="mock_backend",
@@ -524,7 +524,7 @@ class TestAISuggestions(DirectoriesMixin, TestCase):
            None,
        )

-    @patch("paperless_ai.ai_classifier.get_ai_document_classification")
+    @patch("documents.views.get_ai_document_classification")
    @override_settings(
        AI_ENABLED=True,
        LLM_BACKEND="mock_backend",
@@ -562,7 +562,7 @@ class TestAISuggestions(DirectoriesMixin, TestCase):
            "KI Title",
        )

-    @patch("paperless_ai.ai_classifier.get_ai_document_classification")
+    @patch("documents.views.get_ai_document_classification")
    @override_settings(
        AI_ENABLED=True,
        LLM_BACKEND="mock_backend",
@@ -601,7 +601,7 @@ class TestAISuggestions(DirectoriesMixin, TestCase):
            "Titre IA",
        )

-    @patch("paperless_ai.ai_classifier.get_ai_document_classification")
+    @patch("documents.views.get_ai_document_classification")
    @override_settings(
        AI_ENABLED=True,
        LLM_BACKEND="mock_backend",
@@ -637,7 +637,7 @@ class TestAISuggestions(DirectoriesMixin, TestCase):
            ),
        )

-    @patch("paperless_ai.ai_classifier.get_ai_document_classification")
+    @patch("documents.views.get_ai_document_classification")
    @override_settings(
        AI_ENABLED=True,
        LLM_BACKEND="mock_backend",
@@ -709,7 +709,7 @@ class TestAISuggestions(DirectoriesMixin, TestCase):
            ),
        )

-    @patch("paperless_ai.ai_classifier.get_ai_document_classification")
+    @patch("documents.views.get_ai_document_classification")
    @override_settings(
        AI_ENABLED=True,
        LLM_BACKEND="openai-like",
@@ -738,7 +738,7 @@ class TestAISuggestions(DirectoriesMixin, TestCase):
            get_llm_suggestion_cache(self.document.pk, backend="openai-like"),
        )

-    @patch("paperless_ai.ai_classifier.get_ai_document_classification")
+    @patch("documents.views.get_ai_document_classification")
    @override_settings(
        AI_ENABLED=True,
        LLM_BACKEND="openai-like",
@@ -765,7 +765,7 @@ class TestAISuggestions(DirectoriesMixin, TestCase):
            get_llm_suggestion_cache(self.document.pk, backend="openai-like"),
        )

-    @patch("paperless_ai.ai_classifier.get_ai_document_classification")
+    @patch("documents.views.get_ai_document_classification")
    @override_settings(
        AI_ENABLED=True,
        LLM_BACKEND="openai-like",
@@ -797,7 +797,7 @@ class TestAISuggestions(DirectoriesMixin, TestCase):
            get_llm_suggestion_cache(self.document.pk, backend="openai-like"),
        )

-    @patch("paperless_ai.ai_classifier.get_ai_document_classification")
+    @patch("documents.views.get_ai_document_classification")
    @override_settings(
        AI_ENABLED=True,
        LLM_BACKEND="mock_backend",
@@ -835,7 +835,7 @@ class TestAISuggestions(DirectoriesMixin, TestCase):
        self.assertEqual(response.json()["tags"], [self.tag1.pk])
        self.assertEqual(response.json()["suggested_tags"], ["Follow-up"])

-    @patch("paperless_ai.ai_classifier.get_ai_document_classification")
+    @patch("documents.views.get_ai_document_classification")
    @override_settings(
        AI_ENABLED=True,
        LLM_BACKEND="mock_backend",
@@ -874,7 +874,7 @@ class TestAISuggestions(DirectoriesMixin, TestCase):
        self.assertEqual(response.json()["tags"], [self.tag1.pk])
        self.assertEqual(response.json()["suggested_tags"], [])

-    @patch("paperless_ai.ai_classifier.get_ai_document_classification")
+    @patch("documents.views.get_ai_document_classification")
    @override_settings(
        AI_ENABLED=True,
        LLM_BACKEND="mock_backend",
@@ -996,7 +996,7 @@ class TestAIChatStreamingView(DirectoriesMixin, TestCase):
        self.assertEqual(response.status_code, 400)
        self.assertIn(b"AI is required for this feature", response.content)

-    @patch("paperless_ai.chat.stream_chat_with_documents")
+    @patch("documents.views.stream_chat_with_documents")
    @patch("documents.views.permitted_document_ids")
    @override_settings(AI_ENABLED=True)
    def test_post_no_document_id(self, mock_permitted_ids, mock_stream_chat) -> None:
@@ -1016,7 +1016,7 @@ class TestAIChatStreamingView(DirectoriesMixin, TestCase):
        self.assertEqual(list(call_kwargs["documents"]), [self.document])
        self.assertIsNone(call_kwargs["output_language"])

-    @patch("paperless_ai.chat.stream_chat_with_documents")
+    @patch("documents.views.stream_chat_with_documents")
    @patch("documents.views.permitted_document_ids")
    @override_settings(AI_ENABLED=True)
    def test_post_uses_user_display_language(
@@ -1042,7 +1042,7 @@ class TestAIChatStreamingView(DirectoriesMixin, TestCase):
        self.assertEqual(list(call_kwargs["documents"]), [self.document])
        self.assertEqual(call_kwargs["output_language"], "de-de")

-    @patch("paperless_ai.chat.stream_chat_with_documents")
+    @patch("documents.views.stream_chat_with_documents")
    @override_settings(AI_ENABLED=True)
    def test_post_with_document_id(self, mock_stream_chat) -> None:
        self.grant_view_document_permission()
@@ -1079,7 +1079,7 @@ class TestAIChatStreamingView(DirectoriesMixin, TestCase):
        self.assertEqual(response.status_code, 403)
        self.assertIn(b"Insufficient permissions", response.content)

-    @patch("paperless_ai.chat.stream_chat_with_documents")
+    @patch("documents.views.stream_chat_with_documents")
    @override_settings(AI_ENABLED=True)
    def test_post_no_document_id_requires_view_document_permission(
        self,
@@ -1093,7 +1093,7 @@ class TestAIChatStreamingView(DirectoriesMixin, TestCase):
        self.assertEqual(response.status_code, 403)
        mock_stream_chat.assert_not_called()

-    @patch("paperless_ai.chat.stream_chat_with_documents")
+    @patch("documents.views.stream_chat_with_documents")
    @override_settings(AI_ENABLED=True)
    def test_post_with_document_id_requires_view_document_permission(
        self,
@@ -250,8 +250,20 @@ from paperless.parsers.remote import RemoteEngineConfig
 from paperless.serialisers import GroupSerializer
 from paperless.serialisers import UserSerializer
 from paperless.views import StandardPagination
+from paperless_ai.ai_classifier import get_ai_document_classification
+from paperless_ai.ai_classifier import get_llm_output_language
+from paperless_ai.chat import stream_chat_with_documents
 from paperless_ai.exceptions import LLMProviderError
 from paperless_ai.exceptions import LLMTimeoutError
+from paperless_ai.matching import extract_unmatched_names
+from paperless_ai.matching import match_correspondents_by_name
+from paperless_ai.matching import match_document_types_by_name
+from paperless_ai.matching import match_storage_paths_by_name
+from paperless_ai.matching import match_tags_by_name
+from paperless_ai.matching import resolve_correspondent_ids
+from paperless_ai.matching import resolve_document_type_ids
+from paperless_ai.matching import resolve_storage_path_ids
+from paperless_ai.matching import resolve_tag_ids
 from paperless_mail.models import MailAccount
 from paperless_mail.models import MailRule
 from paperless_mail.oauth import PaperlessMailOAuth2Manager
@@ -1601,18 +1613,6 @@ class DocumentViewSet(
        if not ai_config.ai_enabled:
            return HttpResponseBadRequest("AI is required for this feature")

-        from paperless_ai.ai_classifier import get_ai_document_classification
-        from paperless_ai.ai_classifier import get_llm_output_language
-        from paperless_ai.matching import extract_unmatched_names
-        from paperless_ai.matching import match_correspondents_by_name
-        from paperless_ai.matching import match_document_types_by_name
-        from paperless_ai.matching import match_storage_paths_by_name
-        from paperless_ai.matching import match_tags_by_name
-        from paperless_ai.matching import resolve_correspondent_ids
-        from paperless_ai.matching import resolve_document_type_ids
-        from paperless_ai.matching import resolve_storage_path_ids
-        from paperless_ai.matching import resolve_tag_ids
-
        output_language = get_llm_output_language(
            ai_config=ai_config,
            user=request.user,
@@ -2446,9 +2446,6 @@ class ChatStreamingView(GenericAPIView[Any]):
            )
            unrestricted = user_is_unrestricted(request.user)

-        from paperless_ai.ai_classifier import get_llm_output_language
-        from paperless_ai.chat import stream_chat_with_documents
-
        output_language = get_llm_output_language(
            ai_config=ai_config,
            user=request.user,
@@ -17,7 +17,7 @@ from paperless.urls import websocket_urlpatterns  # noqa: E402

 application = ProtocolTypeRouter(
    {
-        "http": django_asgi_app,
+        "http": get_asgi_application(),
        "websocket": AuthMiddlewareStack(URLRouter(websocket_urlpatterns)),
    },
 )
@@ -36,6 +36,9 @@ from humanize import naturalsize
 from imap_tools import MailAttachment
 from imap_tools import MailMessage
 from tika_client import TikaClient
+from turbohtml.clean import Linkify
+from turbohtml.clean import linkify
+from turbohtml.migration.bleach import clean

 from documents.parsers import ParseError
 from documents.parsers import make_thumbnail_from_pdf
@@ -619,10 +622,6 @@ class MailDocumentParser:

        def clean_html(text: str) -> str:
            """Attempt to clean, escape, and linkify the given HTML string."""
-            from turbohtml.clean import Linkify
-            from turbohtml.clean import linkify
-            from turbohtml.migration.bleach import clean
-
            if isinstance(text, list):
                text = "\n".join([str(e) for e in text])
            if not isinstance(text, str):
@@ -1,6 +1,5 @@
 from __future__ import annotations

-import functools
 import importlib.resources
 import logging
 import os
@@ -40,12 +39,9 @@ if TYPE_CHECKING:

 logger = logging.getLogger("paperless.parsing.tesseract")

-
-@functools.cache
-def _srgb_icc_data() -> bytes:
-    # Read on first use, importing ocrmypdf.data pulls in the whole ocrmypdf package
-    return importlib.resources.files("ocrmypdf.data").joinpath("sRGB.icc").read_bytes()
-
+_SRGB_ICC_DATA: Final[bytes] = (
+    importlib.resources.files("ocrmypdf.data").joinpath("sRGB.icc").read_bytes()
+)

 _SUPPORTED_MIME_TYPES: Final[dict[str, str]] = {
    "application/pdf": ".pdf",
@@ -407,7 +403,7 @@ class RasterisedDocumentParser:
        pdfa_path = Path(self.tempdir) / "archive.pdf"
        try:
            with pikepdf.open(plain_pdf_path) as pdf:
-                cs = pdf.make_stream(_srgb_icc_data())
+                cs = pdf.make_stream(_SRGB_ICC_DATA)
                cs["/N"] = 3
                output_intent = pikepdf.Dictionary(
                    Type=pikepdf.Name("/OutputIntent"),
@@ -158,6 +158,7 @@ INSTALLED_APPS = [
    "drf_spectacular",
    "drf_spectacular_sidecar",
    "treenode",
+    "paperless_benchmark.apps.PaperlessBenchmarkConfig",
    *env_apps,
 ]

@@ -6,6 +6,7 @@ from pathlib import Path
 from typing import Any

 from celery.schedules import crontab
+from dateparser.languages.loader import LocaleDataLoader

 from paperless.settings.parsers import get_choice_from_env
 from paperless.settings.parsers import get_int_from_env
@@ -351,8 +352,6 @@ def parse_dateparser_languages(languages: str | None) -> list[str]:
            )
            language_list.append("zh")

-    from dateparser.languages.loader import LocaleDataLoader
-
    return list(LocaleDataLoader().get_locale_map(locales=language_list))


@@ -59,10 +59,7 @@ def test_ocr_to_dateparser_languages_exception(
            raise RuntimeError("Simulated error")

    with caplog.at_level(logging.WARNING):
-        monkeypatch.setattr(
-            "dateparser.languages.loader.LocaleDataLoader",
-            lambda: DummyLoader(),
-        )
+        monkeypatch.setattr(utils, "LocaleDataLoader", lambda: DummyLoader())
        result = utils.ocr_to_dateparser_languages("eng+fra")
        assert result == []
        assert (
@@ -1,5 +1,7 @@
 import logging

+from dateparser.languages.loader import LocaleDataLoader
+
 logger = logging.getLogger("paperless.utils")

 OCR_TO_DATEPARSER_LANGUAGES = {
@@ -123,8 +125,6 @@ def ocr_to_dateparser_languages(ocr_languages: str) -> list[str]:
    - If a language cannot be mapped or validated, it is skipped with a warning.
    - Returns a list of valid locales, or an empty list if none could be converted.
    """
-    from dateparser.languages.loader import LocaleDataLoader
-
    loader = LocaleDataLoader()
    result = []
    try:
@@ -3,6 +3,7 @@ from io import BytesIO
 from django.conf import settings
 from django.core.exceptions import ValidationError
 from django.core.files.uploadedfile import UploadedFile
+from lxml import etree
 from PIL import Image

 ALLOWED_SVG_TAGS: set[str] = {
@@ -185,7 +186,6 @@ def reject_dangerous_svg(file: UploadedFile) -> None:
    Raises ValidationError if unsafe content is found.
    See GHSA-6p53-hqqw-8j62
    """
-    from lxml import etree

    try:
        parser = etree.XMLParser(resolve_entities=False)
@@ -49,6 +49,7 @@ from paperless.serialisers import GroupSerializer
 from paperless.serialisers import PaperlessAuthTokenSerializer
 from paperless.serialisers import ProfileSerializer
 from paperless.serialisers import UserSerializer
+from paperless_ai.indexing import llm_index_exists


 class PaperlessObtainAuthTokenView(ObtainAuthToken):
@@ -470,8 +471,6 @@ class ApplicationConfigurationViewSet(ModelViewSet[ApplicationConfiguration]):
            or old_llm_embedding_model != new_llm_embedding_model
            or old_llm_context_size != new_llm_context_size
        )
-        from paperless_ai.indexing import llm_index_exists
-
        rebuild_needed = new_ai_index_enabled and (
            not llm_index_exists() or embedding_config_changed
        )
@@ -0,0 +1,8 @@
+from django.apps import AppConfig
+from django.utils.translation import gettext_lazy as _
+
+
+class PaperlessBenchmarkConfig(AppConfig):
+    name = "paperless_benchmark"
+
+    verbose_name = _("Paperless benchmark")
@@ -0,0 +1,137 @@
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from django.db import connection
+
+if TYPE_CHECKING:
+    from django.db.models import QuerySet
+
+
+def _reset_table_names() -> list[str]:
+    from guardian.models import GroupObjectPermission
+    from guardian.models import UserObjectPermission
+
+    from documents.models import Correspondent
+    from documents.models import CustomField
+    from documents.models import CustomFieldInstance
+    from documents.models import Document
+    from documents.models import DocumentType
+    from documents.models import StoragePath
+    from documents.models import Tag
+
+    return [
+        Document.tags.through._meta.db_table,
+        CustomFieldInstance._meta.db_table,
+        CustomField._meta.db_table,
+        Document._meta.db_table,
+        Tag._meta.db_table,
+        Correspondent._meta.db_table,
+        DocumentType._meta.db_table,
+        StoragePath._meta.db_table,
+        UserObjectPermission._meta.db_table,
+        GroupObjectPermission._meta.db_table,
+    ]
+
+
+def _delete_all_users_and_groups() -> None:
+    # ASSUMPTION: this tool assumes a disposable benchmark database, never
+    # point it at a real install. This deletes EVERY user and group in the
+    # database (not just benchmark-created ones) -- there is no way to
+    # distinguish "real" users from seeded ones, so this is only safe against
+    # a database that exists solely to run this benchmarking tool. The
+    # `benchmark seed --reset` CLI path requires an explicit
+    # `--yes-i-know-this-wipes-the-database` flag before reaching here; do
+    # not remove that guard.
+    from django.contrib.auth import get_user_model
+    from django.contrib.auth.models import Group
+
+    get_user_model().objects.all().delete()
+    Group.objects.all().delete()
+
+
+def _reset_postgresql() -> None:
+    tables = _reset_table_names()
+    with connection.cursor() as cursor:
+        cursor.execute(f"TRUNCATE TABLE {', '.join(tables)} RESTART IDENTITY CASCADE;")
+    _delete_all_users_and_groups()
+
+
+def _reset_mariadb() -> None:
+    # MariaDB's TRUNCATE has no CASCADE clause and refuses to truncate a
+    # table referenced by a foreign key while checks are enabled, so
+    # checks are disabled for the duration of the reset.
+    tables = _reset_table_names()
+    with connection.cursor() as cursor:
+        cursor.execute("SET FOREIGN_KEY_CHECKS = 0;")
+        try:
+            for table in tables:
+                cursor.execute(f"TRUNCATE TABLE {table};")
+        finally:
+            cursor.execute("SET FOREIGN_KEY_CHECKS = 1;")
+    _delete_all_users_and_groups()
+
+
+def _reset_sqlite() -> None:
+    # Plain DELETEs, the SQLite equivalent of the TRUNCATEs above. ORM deletes
+    # fire per-document signals and cascade collection, which is far too slow
+    # at the large tier and needs the cache backend to be reachable.
+    # constraint_checks_disabled() mirrors MariaDB's SET FOREIGN_KEY_CHECKS = 0.
+    tables = _reset_table_names()
+    with connection.constraint_checks_disabled(), connection.cursor() as cursor:
+        for table in tables:
+            cursor.execute(f"DELETE FROM {table};")
+    _delete_all_users_and_groups()
+
+
+def reset_benchmark_data() -> None:
+    """
+    Remove all previously-seeded benchmark data (documents, tags,
+    correspondents, document types, storage paths, guardian permission
+    rows, users, and groups) so a fresh `benchmark seed` run starts
+    from an empty slate. Dispatches per-backend because TRUNCATE syntax
+    and cascade behavior differ across the 3 supported databases.
+    """
+    if connection.vendor == "postgresql":
+        _reset_postgresql()
+    elif connection.vendor == "mysql":
+        # MariaDB also reports vendor == "mysql" under Django's mysql backend.
+        _reset_mariadb()
+    else:
+        _reset_sqlite()
+
+
+def capture_explain(queryset: QuerySet) -> str:
+    """
+    Return the query plan for `queryset` using the current backend's
+    explain facility. PostgreSQL supports `EXPLAIN ANALYZE {sql}` (real
+    execution stats). MariaDB does NOT accept that syntax -- verified
+    against a real MariaDB 12.3 container: `EXPLAIN ANALYZE {sql}` raises a
+    1064 syntax error, while MariaDB's own `ANALYZE {sql}` form (no
+    `EXPLAIN` keyword) works and returns real per-row execution stats
+    (`r_rows`, `r_filtered`, etc. columns) -- this is MariaDB's
+    EXPLAIN-ANALYZE-equivalent, distinct from MySQL 8.0.18+'s
+    `EXPLAIN ANALYZE` syntax, which MariaDB does not implement. SQLite only
+    supports EXPLAIN QUERY PLAN (the chosen plan, not real timing/row
+    counts) -- that output is clearly labeled rather than silently looking
+    equivalent to the other two backends' output.
+    """
+    sql, params = queryset.query.sql_with_params()
+    with connection.cursor() as cursor:
+        if connection.vendor == "postgresql":
+            cursor.execute(f"EXPLAIN ANALYZE {sql}", params)
+            return "\n".join(str(row[0]) for row in cursor.fetchall())
+        if connection.vendor == "mysql":
+            # MariaDB also reports vendor == "mysql" under Django's mysql
+            # backend. Unlike MySQL 8.0.18+, MariaDB has no `EXPLAIN
+            # ANALYZE` syntax -- its equivalent is `ANALYZE <statement>`.
+            cursor.execute(f"ANALYZE {sql}", params)
+            columns = [c[0] for c in cursor.description]
+            header = " | ".join(columns)
+            rows = "\n".join(
+                " | ".join(str(c) for c in row) for row in cursor.fetchall()
+            )
+            return f"{header}\n{rows}"
+        cursor.execute(f"EXPLAIN QUERY PLAN {sql}", params)
+        rows = "\n".join(" | ".join(str(c) for c in row) for row in cursor.fetchall())
+        return f"(plan only -- no execution stats on SQLite)\n{rows}"
@@ -0,0 +1,88 @@
+# src/paperless_benchmark/endpoints.py
+from __future__ import annotations
+
+import statistics
+import time
+from dataclasses import dataclass
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from django.contrib.auth.models import User
+    from rest_framework.test import APIClient
+
+ENDPOINTS: tuple[tuple[str, str], ...] = (
+    ("documents_default", "/api/documents/"),
+    ("documents_page50", "/api/documents/?page_size=50"),
+    ("tags_all", "/api/tags/?page_size=100000"),
+    (
+        "documents_selection_data",
+        (
+            "/api/documents/?page=1&page_size=50&ordering=-created"
+            "&truncate_content=true&include_selection_data=true"
+        ),
+    ),
+)
+
+
+@dataclass(frozen=True, slots=True)
+class EndpointTiming:
+    user_label: str
+    endpoint_name: str
+    query_count: int
+    min_ms: float
+    median_ms: float
+    max_ms: float
+
+
+def _timed_requests(client: APIClient, url: str, n: int) -> list[float]:
+    times = []
+    for _ in range(n):
+        t0 = time.perf_counter()
+        resp = client.get(url)
+        t1 = time.perf_counter()
+        if resp.status_code != 200:
+            raise RuntimeError(
+                f"GET {url} -> {resp.status_code}: {resp.content[:300]!r}",
+            )
+        times.append(t1 - t0)
+    return times
+
+
+def _query_count(client: APIClient, url: str) -> int:
+    from django.db import connection
+    from django.test.utils import CaptureQueriesContext
+
+    with CaptureQueriesContext(connection) as ctx:
+        resp = client.get(url)
+    if resp.status_code != 200:
+        raise RuntimeError(f"GET {url} -> {resp.status_code}: {resp.content[:300]!r}")
+    return len(ctx.captured_queries)
+
+
+def run_endpoint_benchmarks(
+    *,
+    perf_target: User,
+    perf_admin: User,
+    repeat: int,
+) -> list[EndpointTiming]:
+    from rest_framework.test import APIClient
+
+    results: list[EndpointTiming] = []
+    for user_label, user in (("target", perf_target), ("admin", perf_admin)):
+        client = APIClient()
+        client.force_authenticate(user=user)
+        for name, url in ENDPOINTS:
+            client.get(url)  # warm-up request, not counted
+            qcount = _query_count(client, url)
+            times_ms = [t * 1000 for t in _timed_requests(client, url, repeat)]
+            results.append(
+                EndpointTiming(
+                    user_label=user_label,
+                    endpoint_name=name,
+                    query_count=qcount,
+                    min_ms=min(times_ms),
+                    median_ms=statistics.median(times_ms),
+                    max_ms=max(times_ms),
+                ),
+            )
+    return results
@@ -0,0 +1,56 @@
+# src/paperless_benchmark/harness.py
+from __future__ import annotations
+
+import time
+from dataclasses import dataclass
+from typing import TYPE_CHECKING
+from typing import Generic
+from typing import TypeVar
+
+from django.db import connection
+from django.test.utils import CaptureQueriesContext
+
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+T = TypeVar("T")
+
+
+@dataclass(frozen=True, slots=True)
+class ProfileResult(Generic[T]):
+    best_seconds: float
+    all_seconds: tuple[float, ...]
+    query_count: int
+    result: T
+
+
+def run_profile(fn: Callable[[], T], *, repeat: int = 5) -> ProfileResult[T]:
+    """
+    Call `fn` `repeat` times, capturing wall-clock time for every call and
+    the SQL query count for the final call. Returns the best (minimum)
+    time across all repeats, since the first call(s) can be skewed by
+    connection warm-up or cold caches.
+    """
+    if repeat < 1:
+        raise ValueError("repeat must be >= 1")
+
+    all_seconds: list[float] = []
+    result: T | None = None
+    query_count = 0
+    for i in range(repeat):
+        with CaptureQueriesContext(connection) as ctx:
+            start = time.perf_counter()
+            result = fn()
+            all_seconds.append(time.perf_counter() - start)
+        if i == repeat - 1:
+            query_count = len(ctx.captured_queries)
+    # Purely a type-narrowing aid for the type checker: the `repeat < 1`
+    # guard above already turns the one case that could leave `result`
+    # unset into a clear ValueError, so this is unreachable in practice.
+    assert result is not None
+    return ProfileResult(
+        best_seconds=min(all_seconds),
+        all_seconds=tuple(all_seconds),
+        query_count=query_count,
+        result=result,
+    )
@@ -0,0 +1,222 @@
+# src/paperless_benchmark/management/commands/benchmark.py
+from __future__ import annotations
+
+from typing import Any
+
+from django.core.management.base import BaseCommand
+from django.core.management.base import CommandError
+from django.core.management.base import CommandParser
+
+
+class Command(BaseCommand):
+    help = "Seed, run, and profile paperless-ngx performance benchmarks."
+
+    def add_arguments(self, parser: CommandParser) -> None:
+        parser.add_argument(
+            "action",
+            choices=["seed", "run", "profile", "list-scenarios"],
+            help="Which benchmark action to perform.",
+        )
+        parser.add_argument(
+            "scenario",
+            nargs="?",
+            default=None,
+            help="Scenario name (required for `profile`; see `list-scenarios`).",
+        )
+        parser.add_argument(
+            "--tier",
+            choices=["home", "medium", "large"],
+            default="medium",
+            help="Dataset scale tier for `seed` (default: medium).",
+        )
+        parser.add_argument(
+            "--reset",
+            action="store_true",
+            default=False,
+            help="For `seed`: truncate existing benchmark data first.",
+        )
+        parser.add_argument(
+            "--yes-i-know-this-wipes-the-database",
+            action="store_true",
+            default=False,
+            help=(
+                "Required alongside --reset: confirms you understand `seed "
+                "--reset` deletes ALL users, ALL groups, and ALL documents/"
+                "tags/correspondents/document types/storage paths in this "
+                "database, not just benchmark-created ones."
+            ),
+        )
+        parser.add_argument(
+            "--seed",
+            type=int,
+            default=42,
+            help="RNG seed for reproducible datasets (default: 42).",
+        )
+        parser.add_argument(
+            "--repeat",
+            type=int,
+            default=5,
+            help="Number of timed repetitions for `run`/`profile` (default: 5).",
+        )
+        parser.add_argument(
+            "--label",
+            default="baseline",
+            help="Free-text tag for a `run`, printed and recorded in history only.",
+        )
+        parser.add_argument(
+            "--explain",
+            action="store_true",
+            default=False,
+            help="For `profile`: also capture and print the query plan.",
+        )
+
+    def handle(self, *args: Any, **options: Any) -> None:
+        action = options["action"]
+        if action == "seed":
+            self._handle_seed(options)
+        elif action == "run":
+            self._handle_run(options)
+        elif action == "profile":
+            self._handle_profile(options)
+        else:
+            self._handle_list_scenarios()
+
+    def _handle_seed(self, options: dict[str, Any]) -> None:
+        from paperless_benchmark.db import reset_benchmark_data
+        from paperless_benchmark.seeding import seed_benchmark_dataset
+
+        if options["reset"]:
+            if not options["yes_i_know_this_wipes_the_database"]:
+                raise CommandError(
+                    "--reset requires --yes-i-know-this-wipes-the-database. "
+                    "This deletes ALL users, ALL groups, and ALL documents, "
+                    "tags, correspondents, document types, and storage paths "
+                    "in this database -- not just benchmark-created ones. "
+                    "Only run this against a disposable benchmark database, "
+                    "never a real install. Re-run with "
+                    "--reset --yes-i-know-this-wipes-the-database to proceed.",
+                )
+            self.stdout.write("Resetting existing benchmark data...")
+            reset_benchmark_data()
+
+        data = seed_benchmark_dataset(options["tier"], seed=options["seed"])
+        self.stdout.write(
+            self.style.SUCCESS(
+                f"Seeded tier={options['tier']!r}: {data.documents} documents, "
+                f"{len(data.users)} users, {len(data.groups)} groups.",
+            ),
+        )
+
+    def _handle_run(self, options: dict[str, Any]) -> None:
+        from django.contrib.auth import get_user_model
+        from django.db import connection
+
+        from documents.models import Document
+        from paperless_benchmark.endpoints import run_endpoint_benchmarks
+        from paperless_benchmark.results import append_history
+
+        user_model = get_user_model()
+        try:
+            perf_target = user_model.objects.get(username="perf_target")
+            perf_admin = user_model.objects.get(username="perf_admin")
+        except user_model.DoesNotExist as e:
+            raise CommandError(
+                "No benchmark dataset found. Run `manage.py benchmark seed` first.",
+            ) from e
+
+        db_vendor = connection.vendor
+        document_count = Document.objects.count()
+
+        results = run_endpoint_benchmarks(
+            perf_target=perf_target,
+            perf_admin=perf_admin,
+            repeat=options["repeat"],
+        )
+
+        self.stdout.write(f"# label={options['label']} repeat={options['repeat']}")
+        self.stdout.write(
+            f"{'user':7s} {'endpoint':26s} {'queries':>8s} "
+            f"{'min_ms':>9s} {'median_ms':>10s} {'max_ms':>9s}",
+        )
+        for r in results:
+            self.stdout.write(
+                f"{r.user_label:7s} {r.endpoint_name:26s} {r.query_count:8d} "
+                f"{r.min_ms:9.1f} {r.median_ms:10.1f} {r.max_ms:9.1f}",
+            )
+            append_history(
+                {
+                    "mode": "run",
+                    "label": options["label"],
+                    "user": r.user_label,
+                    "endpoint": r.endpoint_name,
+                    "query_count": r.query_count,
+                    "min_ms": r.min_ms,
+                    "median_ms": r.median_ms,
+                    "max_ms": r.max_ms,
+                    "db_vendor": db_vendor,
+                    "document_count": document_count,
+                },
+            )
+
+    def _handle_profile(self, options: dict[str, Any]) -> None:
+        from django.contrib.auth import get_user_model
+        from django.db import connection
+
+        from documents.models import Document
+        from paperless_benchmark.db import capture_explain
+        from paperless_benchmark.harness import run_profile
+        from paperless_benchmark.results import append_history
+        from paperless_benchmark.scenarios import get as get_scenario
+
+        if not options["scenario"]:
+            raise CommandError(
+                "`profile` requires a scenario name; see `list-scenarios`.",
+            )
+
+        scenario = get_scenario(options["scenario"])
+
+        user_model = get_user_model()
+        try:
+            perf_target = user_model.objects.get(username="perf_target")
+        except user_model.DoesNotExist as e:
+            raise CommandError(
+                "No benchmark dataset found. Run `manage.py benchmark seed` first.",
+            ) from e
+
+        profile = run_profile(
+            lambda: scenario.run(perf_target),
+            repeat=options["repeat"],
+        )
+        self.stdout.write(
+            f"{scenario.name}: best={profile.best_seconds:.4f}s "
+            f"queries={profile.query_count}",
+        )
+
+        if options["explain"]:
+            if scenario.queryset_for_explain is not None:
+                plan = capture_explain(scenario.queryset_for_explain(perf_target))
+                self.stdout.write(plan)
+            else:
+                self.stdout.write(
+                    self.style.WARNING(
+                        f"--explain was requested but scenario {scenario.name!r} "
+                        "does not support it (no queryset_for_explain); skipping.",
+                    ),
+                )
+
+        append_history(
+            {
+                "mode": "profile",
+                "scenario": scenario.name,
+                "best_seconds": profile.best_seconds,
+                "query_count": profile.query_count,
+                "db_vendor": connection.vendor,
+                "document_count": Document.objects.count(),
+            },
+        )
+
+    def _handle_list_scenarios(self) -> None:
+        from paperless_benchmark.scenarios import all_scenarios
+
+        for scenario in all_scenarios():
+            self.stdout.write(f"{scenario.name}: {scenario.describe}")
@@ -0,0 +1,39 @@
+# src/paperless_benchmark/results.py
+from __future__ import annotations
+
+import json
+import subprocess
+from datetime import UTC
+from datetime import datetime
+from pathlib import Path
+from typing import Any
+
+RESULTS_DIR = Path(__file__).resolve().parent.parent.parent / "benchmark_results"
+
+
+def _current_git_ref() -> str:
+    result = subprocess.run(
+        ["git", "rev-parse", "--short", "HEAD"],
+        capture_output=True,
+        text=True,
+        check=False,
+    )
+    return result.stdout.strip() or "unknown"
+
+
+def append_history(entry: dict[str, Any], *, code_ref: str | None = None) -> None:
+    """
+    Append one line to benchmark_results/history.jsonl -- a local-only,
+    append-only, cross-session record of every `benchmark run`/`profile`
+    invocation. Unlike a single overwritten snapshot file, this survives
+    across sessions so a benchmarking effort picked back up days later has
+    a full timeline instead of only the most recent result.
+    """
+    RESULTS_DIR.mkdir(exist_ok=True)
+    record = {
+        "timestamp": datetime.now(UTC).isoformat(),
+        "code_ref": code_ref or _current_git_ref(),
+        **entry,
+    }
+    with (RESULTS_DIR / "history.jsonl").open("a") as f:
+        f.write(json.dumps(record) + "\n")
@@ -0,0 +1,103 @@
+# src/paperless_benchmark/scenarios.py
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import TYPE_CHECKING
+from typing import Any
+
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+    from django.contrib.auth.models import User
+    from django.db.models import QuerySet
+
+
+@dataclass(frozen=True, slots=True)
+class Scenario:
+    name: str
+    describe: str
+    run: Callable[[User], Any]
+    queryset_for_explain: Callable[[User], QuerySet] | None = None
+
+
+_SCENARIOS: dict[str, Scenario] = {}
+
+
+def register(scenario: Scenario) -> None:
+    _SCENARIOS[scenario.name] = scenario
+
+
+def get(name: str) -> Scenario:
+    from django.core.management.base import CommandError
+
+    try:
+        return _SCENARIOS[name]
+    except KeyError:
+        available = ", ".join(sorted(_SCENARIOS)) or "(none registered)"
+        raise CommandError(
+            f"Unknown benchmark scenario {name!r}. Available: {available}",
+        ) from None
+
+
+def all_scenarios() -> tuple[Scenario, ...]:
+    return tuple(_SCENARIOS.values())
+
+
+def _guardian_visibility_query_run(user: User) -> list[int]:
+    return list(
+        _guardian_visibility_query_queryset(user).values_list("id", flat=True),
+    )
+
+
+def _guardian_visibility_query_queryset(user: User) -> QuerySet:
+    from documents.models import Document
+    from documents.permissions import restrict_queryset_to_visible
+
+    return restrict_queryset_to_visible(Document.objects.all(), user, "view_document")
+
+
+register(
+    Scenario(
+        name="guardian_visibility_query",
+        describe=(
+            "Document-visibility queryset for a user with mixed owned/shared "
+            "documents -- exercises documents.permissions."
+            "restrict_queryset_to_visible's permitted_object_ids subquery."
+        ),
+        run=_guardian_visibility_query_run,
+        queryset_for_explain=_guardian_visibility_query_queryset,
+    ),
+)
+
+
+def _permitted_document_ids_run(user: User) -> list[int]:
+    from documents.models import Document
+    from documents.permissions import permitted_document_ids
+
+    return list(
+        Document.objects.filter(id__in=permitted_document_ids(user)).values_list(
+            "id",
+            flat=True,
+        ),
+    )
+
+
+def _permitted_document_ids_queryset(user: User) -> QuerySet:
+    from documents.models import Document
+    from documents.permissions import permitted_document_ids
+
+    return Document.objects.filter(id__in=permitted_document_ids(user))
+
+
+register(
+    Scenario(
+        name="permitted_document_ids",
+        describe=(
+            "Document-visibility query built from documents.permissions."
+            "permitted_document_ids -- like guardian_visibility_query, but a "
+            "version is authorized by its root document."
+        ),
+        run=_permitted_document_ids_run,
+        queryset_for_explain=_permitted_document_ids_queryset,
+    ),
+)
@@ -0,0 +1,489 @@
+# src/paperless_benchmark/seeding.py
+from __future__ import annotations
+
+import datetime
+import random
+import time
+from dataclasses import dataclass
+from typing import TYPE_CHECKING
+from typing import Literal
+
+if TYPE_CHECKING:
+    from django.contrib.auth.models import Group
+    from django.contrib.auth.models import User
+
+Tier = Literal["home", "medium", "large"]
+
+CHUNK_SIZE = 5_000
+
+MIME_TYPES = (
+    "application/pdf",
+    "image/png",
+    "image/jpeg",
+    "text/plain",
+)
+
+# Ownership split for documents, mirroring the shape used in the #11950
+# perf-benchmark dataset (owned-by-target / owned-by-other / unowned).
+OWNED_BY_TARGET_FRACTION = 0.60
+OWNED_BY_OTHER_FRACTION = 0.30
+# remainder (0.10) is unowned
+
+# Of documents owned by "other" users, the fraction explicitly shared
+# (view, or view+change) with perf_target via guardian permissions --
+# this is what exercises the get_user_can_change() per-row N+1 that the
+# `run` endpoint benchmarks measure.
+SHARED_WITH_TARGET_FRACTION = 0.5
+SHARED_WITH_CHANGE_FRACTION = 0.5
+
+# Guardian permission-row ratios measured from a real install (discussion
+# #13276): 1,414 user-perm rows / 27,232 group-perm rows over 12,000
+# documents. Layered across ALL owned documents for the general user/group
+# pool (not just perf_target's shares), so `profile` scenarios exercise a
+# realistic permission-join shape for arbitrary users, not only perf_target.
+USER_PERM_ROWS_PER_DOC = 1_414 / 12_000
+GROUP_PERM_ROWS_PER_DOC = 27_232 / 12_000
+# Share of documents that carry any custom field values.
+CUSTOM_FIELD_DOC_FRACTION = 0.4
+
+
+@dataclass(frozen=True, slots=True)
+class _TierCounts:
+    documents: int
+    tags: int
+    correspondents: int
+    document_types: int
+    storage_paths: int
+    other_users: int
+    groups: int
+    tags_per_doc: tuple[int, int]
+    custom_fields: int = 0
+
+
+TIERS: dict[Tier, _TierCounts] = {
+    "home": _TierCounts(
+        documents=500,
+        tags=20,
+        correspondents=10,
+        document_types=8,
+        storage_paths=5,
+        other_users=3,
+        groups=2,
+        tags_per_doc=(1, 3),
+        custom_fields=3,
+    ),
+    "medium": _TierCounts(
+        documents=20_000,
+        tags=100,
+        correspondents=300,
+        document_types=50,
+        storage_paths=20,
+        other_users=10,
+        groups=5,
+        tags_per_doc=(2, 6),
+        custom_fields=10,
+    ),
+    "large": _TierCounts(
+        documents=360_000,
+        tags=1_000,
+        correspondents=5_000,
+        document_types=300,
+        storage_paths=50,
+        other_users=25,
+        groups=10,
+        tags_per_doc=(3, 7),
+        custom_fields=25,
+    ),
+}
+
+
+def log(msg: str) -> None:
+    print(f"[{time.strftime('%H:%M:%S')}] {msg}", flush=True)  # noqa: T201
+
+
+@dataclass(frozen=True, slots=True)
+class SeededData:
+    """
+    Summary of a completed seed run. `documents`/`tags`/`correspondents`/
+    `document_types`/`storage_paths` are counts, not the seeded ORM
+    instances: at the `large` tier (360,000 documents) holding every
+    instance in memory simultaneously is a real risk for zero benefit, since
+    no caller consumes anything but the counts. `perf_target`/`perf_admin`/
+    `users`/`groups` stay as real objects -- at most ~26 users/12 groups even
+    at `large` tier, and small enough to be useful to a future caller.
+    """
+
+    perf_target: User
+    perf_admin: User
+    users: tuple[User, ...]
+    groups: tuple[Group, ...]
+    documents: int
+    tags: int
+    correspondents: int
+    document_types: int
+    storage_paths: int
+
+
+def _grant_model_level_permissions(user: User) -> None:
+    """
+    Grant perf_target Django model-level view/add/change permissions on
+    Document and Tag, on top of the per-object guardian grants seeding
+    creates elsewhere. DRF's PaperlessObjectPermissions checks model-level
+    permissions before guardian's object-level ones are ever consulted, so
+    without this perf_target gets a blanket 403 on /api/documents/ and
+    /api/tags/ regardless of which documents guardian says it can see.
+    """
+    from django.contrib.auth.models import Permission
+    from django.contrib.contenttypes.models import ContentType
+
+    from documents.models import Document
+    from documents.models import Tag
+
+    for model in (Document, Tag):
+        content_type = ContentType.objects.get_for_model(model)
+        codenames = [
+            f"{action}_{model._meta.model_name}" for action in ("view", "add", "change")
+        ]
+        perms = Permission.objects.filter(
+            content_type=content_type,
+            codename__in=codenames,
+        )
+        user.user_permissions.add(*perms)
+
+
+def _create_users_and_groups(
+    counts: _TierCounts,
+) -> tuple[User, User, tuple[User, ...], tuple[Group, ...]]:
+    from django.contrib.auth.models import Group
+
+    from paperless_testing.factories import UserFactory
+
+    perf_target = UserFactory.create(username="perf_target")
+    _grant_model_level_permissions(perf_target)
+    perf_admin = UserFactory.create(username="perf_admin", superuser=True)
+    other_users = tuple(UserFactory.create_batch(counts.other_users))
+    groups = tuple(
+        Group.objects.create(name=f"benchmark_group_{i}") for i in range(counts.groups)
+    )
+    log(
+        f"Created users: 1 target, 1 superuser, {len(other_users)} other, "
+        f"{len(groups)} groups.",
+    )
+    return perf_target, perf_admin, other_users, groups
+
+
+def _create_lookup_tables(counts: _TierCounts):
+    from documents.models import Correspondent
+    from documents.models import DocumentType
+    from documents.models import StoragePath
+    from documents.models import Tag
+    from paperless_testing.factories import CorrespondentFactory
+    from paperless_testing.factories import DocumentTypeFactory
+    from paperless_testing.factories import StoragePathFactory
+    from paperless_testing.factories import TagFactory
+
+    tags = tuple(Tag.objects.bulk_create(TagFactory.build_batch(counts.tags)))
+    correspondents = tuple(
+        Correspondent.objects.bulk_create(
+            CorrespondentFactory.build_batch(counts.correspondents),
+        ),
+    )
+    document_types = tuple(
+        DocumentType.objects.bulk_create(
+            DocumentTypeFactory.build_batch(counts.document_types),
+        ),
+    )
+    storage_paths = tuple(
+        StoragePath.objects.bulk_create(
+            StoragePathFactory.build_batch(counts.storage_paths),
+        ),
+    )
+    log(
+        f"Created {len(tags)} tags, {len(correspondents)} correspondents, "
+        f"{len(document_types)} document types, {len(storage_paths)} storage paths.",
+    )
+    return tags, correspondents, document_types, storage_paths
+
+
+def _assign_owner(rng: random.Random, perf_target: User, other_users: tuple[User, ...]):
+    roll = rng.random()
+    if roll < OWNED_BY_TARGET_FRACTION:
+        return perf_target, "target"
+    if roll < OWNED_BY_TARGET_FRACTION + OWNED_BY_OTHER_FRACTION:
+        return rng.choice(other_users), "other"
+    return None, "unowned"
+
+
+def _seed_documents(
+    rng: random.Random,
+    counts: _TierCounts,
+    tags,
+    correspondents,
+    document_types,
+    storage_paths,
+    perf_target,
+    other_users,
+) -> tuple[int, list[int]]:
+    """
+    Bulk-create `counts.documents` documents in chunks. Returns the total
+    document count plus a lightweight list of pks for documents that ended
+    up with an owner (target or other) -- that's all
+    `_grant_general_permissions` needs to sample from, so full `Document`
+    instances aren't accumulated across chunks (a real memory concern at the
+    `large` tier's 360,000 documents).
+    """
+    from django.contrib.auth.models import Permission
+    from django.contrib.contenttypes.models import ContentType
+    from guardian.models import UserObjectPermission
+
+    from documents.models import CustomField
+    from documents.models import CustomFieldInstance
+    from documents.models import Document
+    from paperless_testing.factories import DocumentFactory
+
+    tag_ids = [t.pk for t in tags]
+    correspondent_ids = [c.pk for c in correspondents]
+    document_type_ids = [d.pk for d in document_types]
+    storage_path_ids = [s.pk for s in storage_paths]
+
+    doc_content_type = ContentType.objects.get_for_model(Document)
+    view_perm = Permission.objects.get(
+        codename="view_document",
+        content_type=doc_content_type,
+    )
+    change_perm = Permission.objects.get(
+        codename="change_document",
+        content_type=doc_content_type,
+    )
+    through_model = Document.tags.through
+
+    # A subset of documents carries 1-3 custom field values, so the
+    # CustomFieldInstance link table is populated for the counts that join it.
+    custom_field_ids = [
+        f.pk
+        for f in CustomField.objects.bulk_create(
+            [
+                CustomField(
+                    name=f"bench field {i}",
+                    data_type=CustomField.FieldDataType.STRING,
+                )
+                for i in range(counts.custom_fields)
+            ],
+        )
+    ]
+
+    document_count = 0
+    owned_document_pks: list[int] = []
+    remaining = counts.documents
+    while remaining > 0:
+        chunk_n = min(CHUNK_SIZE, remaining)
+        remaining -= chunk_n
+
+        batch = []
+        owner_buckets = []
+        for _ in range(chunk_n):
+            doc = DocumentFactory.build(
+                mime_type=rng.choice(MIME_TYPES),
+                page_count=rng.randint(1, 30),
+                correspondent_id=(
+                    rng.choice(correspondent_ids)
+                    if correspondent_ids and rng.random() < 0.8
+                    else None
+                ),
+                document_type_id=(
+                    rng.choice(document_type_ids)
+                    if document_type_ids and rng.random() < 0.6
+                    else None
+                ),
+                storage_path_id=(
+                    rng.choice(storage_path_ids)
+                    if storage_path_ids and rng.random() < 0.8
+                    else None
+                ),
+                # Document.created is a plain DateField (default: today).
+                # Leaving it unset would give every seeded document the same
+                # date, collapsing Document's ("-created",) ordering index
+                # into a single-valued sort key -- spread it over a
+                # realistic multi-year window instead.
+                created=datetime.date.today()
+                - datetime.timedelta(days=rng.randint(0, 365 * 3)),
+            )
+            owner, bucket = _assign_owner(rng, perf_target, other_users)
+            doc.owner_id = owner.pk if owner else None
+            batch.append(doc)
+            owner_buckets.append(bucket)
+
+        created = Document.objects.bulk_create(batch, batch_size=CHUNK_SIZE)
+
+        through_rows = []
+        for doc in created:
+            k = rng.randint(*counts.tags_per_doc)
+            for tag_id in rng.sample(tag_ids, min(k, len(tag_ids))):
+                through_rows.append(through_model(document_id=doc.pk, tag_id=tag_id))
+        if through_rows:
+            through_model.objects.bulk_create(through_rows, batch_size=CHUNK_SIZE)
+
+        if custom_field_ids:
+            custom_field_rows = []
+            for doc in created:
+                if rng.random() >= CUSTOM_FIELD_DOC_FRACTION:
+                    continue
+                for field_id in rng.sample(
+                    custom_field_ids,
+                    min(rng.randint(1, 3), len(custom_field_ids)),
+                ):
+                    custom_field_rows.append(
+                        CustomFieldInstance(
+                            document_id=doc.pk,
+                            field_id=field_id,
+                            value_text=f"value {doc.pk}",
+                        ),
+                    )
+            CustomFieldInstance.objects.bulk_create(
+                custom_field_rows,
+                batch_size=CHUNK_SIZE,
+            )
+
+        perm_rows = []
+        for doc, bucket in zip(created, owner_buckets, strict=True):
+            if bucket == "unowned":
+                continue
+            owned_document_pks.append(doc.pk)
+
+            if bucket != "other":
+                continue
+            if rng.random() >= SHARED_WITH_TARGET_FRACTION:
+                continue
+            perm_rows.append(
+                UserObjectPermission(
+                    permission=view_perm,
+                    content_type=doc_content_type,
+                    object_pk=str(doc.pk),
+                    user=perf_target,
+                ),
+            )
+            if rng.random() < SHARED_WITH_CHANGE_FRACTION:
+                perm_rows.append(
+                    UserObjectPermission(
+                        permission=change_perm,
+                        content_type=doc_content_type,
+                        object_pk=str(doc.pk),
+                        user=perf_target,
+                    ),
+                )
+        if perm_rows:
+            UserObjectPermission.objects.bulk_create(perm_rows, batch_size=CHUNK_SIZE)
+
+        document_count += len(created)
+        log(f"  {document_count}/{counts.documents} documents seeded")
+
+    return document_count, owned_document_pks
+
+
+def _grant_general_permissions(
+    rng: random.Random,
+    owned_document_pks: list[int],
+    users,
+    groups,
+) -> None:
+    """
+    Layer realistic (issue #13276-derived) guardian permission-row ratios
+    across owned documents for the general user/group pool, so `profile`
+    scenarios exercise the same permission-join shape regardless of which
+    user they check visibility for (not just perf_target).
+    """
+    from django.contrib.auth.models import Permission
+    from django.contrib.contenttypes.models import ContentType
+    from guardian.models import GroupObjectPermission
+    from guardian.models import UserObjectPermission
+
+    from documents.models import Document
+
+    if not owned_document_pks or not users:
+        return
+
+    doc_content_type = ContentType.objects.get_for_model(Document)
+    view_perm = Permission.objects.get(
+        codename="view_document",
+        content_type=doc_content_type,
+    )
+
+    n_user_perms = round(len(owned_document_pks) * USER_PERM_ROWS_PER_DOC)
+    n_group_perms = (
+        round(len(owned_document_pks) * GROUP_PERM_ROWS_PER_DOC) if groups else 0
+    )
+
+    user_rows = [
+        UserObjectPermission(
+            permission=view_perm,
+            content_type=doc_content_type,
+            object_pk=str(rng.choice(owned_document_pks)),
+            user=rng.choice(users),
+        )
+        for _ in range(n_user_perms)
+    ]
+    if user_rows:
+        UserObjectPermission.objects.bulk_create(
+            user_rows,
+            batch_size=CHUNK_SIZE,
+            ignore_conflicts=True,
+        )
+
+    group_rows = [
+        GroupObjectPermission(
+            permission=view_perm,
+            content_type=doc_content_type,
+            object_pk=str(rng.choice(owned_document_pks)),
+            group=rng.choice(groups),
+        )
+        for _ in range(n_group_perms)
+    ]
+    if group_rows:
+        GroupObjectPermission.objects.bulk_create(
+            group_rows,
+            batch_size=CHUNK_SIZE,
+            ignore_conflicts=True,
+        )
+
+    log(f"  Granted {len(user_rows)} user perms, {len(group_rows)} group perms.")
+
+
+def seed_benchmark_dataset(tier: Tier, *, seed: int = 42) -> SeededData:
+    """
+    Build a benchmark dataset at the given scale tier: a named perf_target
+    (mixed owned/shared documents) and perf_admin (superuser) for endpoint
+    benchmarking, plus a general user/group pool with realistic guardian
+    permission-row ratios for profile scenarios.
+    """
+    counts = TIERS[tier]
+    rng = random.Random(seed)
+
+    log(f"Seeding tier={tier!r}")
+    perf_target, perf_admin, other_users, groups = _create_users_and_groups(counts)
+    tags, correspondents, document_types, storage_paths = _create_lookup_tables(counts)
+    document_count, owned_document_pks = _seed_documents(
+        rng,
+        counts,
+        tags,
+        correspondents,
+        document_types,
+        storage_paths,
+        perf_target,
+        other_users,
+    )
+    all_users = (perf_target, *other_users)
+    _grant_general_permissions(rng, owned_document_pks, all_users, groups)
+
+    log(f"Done. {document_count} documents seeded for tier={tier!r}.")
+
+    return SeededData(
+        perf_target=perf_target,
+        perf_admin=perf_admin,
+        users=all_users,
+        groups=groups,
+        documents=document_count,
+        tags=len(tags),
+        correspondents=len(correspondents),
+        document_types=len(document_types),
+        storage_paths=len(storage_paths),
+    )
Author	SHA1	Message	Date
Trenton HandClaude Sonnet 5.5	5304e46d5d	fix(benchmark): reset SQLite with plain DELETEs instead of ORM deletes The ORM path fires per-document delete signals, which is very slow at the large tier and fails when the cache backend is unreachable. Matches the TRUNCATE-based resets on the other backends. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>	2026-10-30 10:21:57 -07:00
Trenton HandClaude Sonnet 5.5	e9303f0c58	feat(benchmark): seed custom fields and time the list request with selection data Also fixes the factory imports, which moved to paperless_testing.factories. Custom fields give the CustomFieldInstance counts real work to do, and the new documents_selection_data endpoint is the request the web UI makes on every list load. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>	2026-10-30 10:21:56 -07:00
Trenton HandClaude Sonnet 5.5	a66803456e	fix(benchmark): use restrict_queryset_to_visible in the visibility scenarios get_objects_for_user_owner_aware no longer exists, so guardian_visibility_query raised ImportError. Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>	2026-10-30 10:21:55 -07:00
stumpylogandClaude Sonnet 5	431f855772	chore: remove benchmark-commands spec/plan docs now that work is complete Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>	2026-10-30 10:18:50 -07:00
stumpylogandClaude Sonnet 5	0b825c4599	Fix: apply final-review fix wave (safety guard, date spread, MariaDB explain, history fields, memory footprint, minors) Final whole-branch review before this tooling branch settles: add a required --yes-i-know-this-wipes-the-database confirmation flag ahead of --reset (it deletes ALL users/groups/documents in the target DB, not just benchmark-created ones); spread seeded documents' created dates over a 3-year window instead of leaving them all on one default date; fix capture_explain() to use MariaDB's ANALYZE syntax instead of Postgres-only EXPLAIN ANALYZE (verified against real MariaDB 12.3 -- the old code was a silent 1064 syntax error); record db_vendor/document_count in run/profile history entries; shrink SeededData's memory footprint at scale by returning counts instead of full ORM instance tuples; and a handful of minor fixes (storage_path assignment, --explain warning instead of silent no-op, harness.py repeat<1 guard, type annotations). All changes verified against real Postgres and MariaDB containers on the VM, not just SQLite. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>	2026-10-30 10:18:50 -07:00
stumpylogandClaude Sonnet 5	c7914b9882	Fix: correct /api/tags/ endpoint URL in benchmarking skill The skill documentation stated that run benchmarks /api/tags/ but src/paperless_benchmark/endpoints.py actually uses /api/tags/?page_size=100000. Update the skill's Command reference section to match the actual endpoint definition. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>	2026-10-30 10:18:50 -07:00
stumpylog	fec492fbe7	docs(benchmark): add paperless-benchmarking skill	2026-10-30 10:18:50 -07:00
stumpylog	1a587937f2	fix(benchmark): fully clear users/groups on reset, grant perf_target model perms	2026-10-30 10:18:50 -07:00
stumpylogandClaude Sonnet 5	2e62819a55	docs: add Task 10 (quirk fixes) and Task 11 (skill) to benchmark plan Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>	2026-10-30 10:18:50 -07:00
stumpylog	17ffec18cb	fix(benchmark): reuse seeded data in profile instead of reseeding _handle_profile unconditionally called seed_benchmark_dataset every run, colliding with an IntegrityError against data seeded by a prior seed/profile call. Look up the existing perf_target user instead, matching _handle_run's already-correct pattern, and raise a CommandError pointing at `seed` if no dataset exists. Scenario.run/queryset_for_explain now take a User directly instead of a SeededData, since only data.users[0] (perf_target) was ever used. profile no longer seeds, so it drops the --tier dependency: the printed line and history entry no longer include a tier/(tier=...) suffix, and --tier's help text now only mentions `seed`.	2026-10-30 10:18:50 -07:00
stumpylog	d3bf158319	feat(benchmark): add manage.py benchmark command (seed/run/profile/list-scenarios)	2026-10-30 10:18:50 -07:00
stumpylog	7b28cb6b0a	feat(benchmark): add pluggable profile-scenario registry	2026-10-30 10:18:50 -07:00
stumpylog	5b3ecfbc86	feat(benchmark): add timed API endpoint scenarios	2026-10-30 10:18:50 -07:00
stumpylogandClaude Sonnet 5	c9a010a1ef	docs: add implementation plan for benchmark management commands Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>	2026-10-30 10:18:50 -07:00
stumpylog	2d07f469ef	feat(benchmark): add local JSONL results history log	2026-10-30 10:18:50 -07:00
stumpylog	90f63bd553	feat(benchmark): add tiered dataset seeding	2026-10-30 10:18:50 -07:00
stumpylog	694b831118	feat(benchmark): add per-backend reset and explain helpers	2026-10-30 10:18:50 -07:00
stumpylog	956cf7e03c	feat(benchmark): add run_profile timing harness	2026-10-30 10:18:50 -07:00
stumpylogandClaude Sonnet 5	6fcacbb1aa	feat(benchmark): scaffold paperless_benchmark app Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>	2026-10-30 10:18:50 -07:00
stumpylogandClaude Sonnet 5	57f44de03a	docs: add design spec for benchmark management commands Merges the standalone run_benchmarks.py/seed_benchmark_data.py scripts and the tools/profiling branch's Postgres-only harness into one cross-backend `manage.py benchmark` command suite. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>	2026-10-30 10:18:50 -07:00
GitHub Actions	8a67481a9d	Auto translate strings	2026-10-30 16:59:59 +00:00
shamoon	652f964f5d	Tweak: move preview button in doc list (#14594 )	2026-10-30 09:58:29 -07:00
shamoon	80a1827fa0	Fix: checksum light mode display and cf dropdown mobile position (#14590 )	2026-10-30 07:03:08 -07:00