Chore(deps): Bump django-guardian from 3.1.3 to 3.2.0

Bumps [django-guardian](https://github.com/django-guardian/django-guardian) from 3.1.3 to 3.2.0.
- [Release notes](https://github.com/django-guardian/django-guardian/releases)
- [Commits](https://github.com/django-guardian/django-guardian/compare/3.1.3...3.2.0)

---
updated-dependencies:
- dependency-name: django-guardian
  dependency-version: 3.2.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>

.github/workflows/ci.yml

@@ -192,18 +192,6 @@ jobs:
           token: ${{ secrets.CODECOV_TOKEN }}
           flags: backend-python-${{ matrix.python-version }}
           files: coverage.xml
-      - name: Upload coverage artifacts
-        uses: actions/upload-artifact@v4
-        if: always()
-        with:
-          name: backend-coverage-${{ matrix.python-version }}
-          path: |
-            .coverage
-            coverage.xml
-            junit.xml
-          retention-days: 1
-          include-hidden-files: true
-          if-no-files-found: error
       - name: Stop containers
         if: always()
         run: |
@@ -286,17 +274,6 @@ jobs:
           token: ${{ secrets.CODECOV_TOKEN }}
           flags: frontend-node-${{ matrix.node-version }}
           directory: src-ui/coverage/
-      - name: Upload coverage artifacts
-        uses: actions/upload-artifact@v4
-        if: always()
-        with:
-          name: frontend-coverage-${{ matrix.shard-index }}
-          path: |
-            src-ui/coverage/lcov.info
-            src-ui/coverage/coverage-final.json
-            src-ui/junit.xml
-          retention-days: 1
-          if-no-files-found: error
   tests-frontend-e2e:
     name: "Frontend E2E Tests (Node ${{ matrix.node-version }} - ${{ matrix.shard-index }}/${{ matrix.shard-count }})"
     runs-on: ubuntu-24.04
@@ -377,74 +354,6 @@ jobs:
         env:
           CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
         run: cd src-ui && pnpm run build --configuration=production
-  sonarqube-analysis:
-    name: "SonarQube Analysis"
-    runs-on: ubuntu-24.04
-    needs:
-      - tests-backend
-      - tests-frontend
-    if: github.repository_owner == 'paperless-ngx'
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v5
-        with:
-          fetch-depth: 0
-      - name: Download all backend coverage
-        uses: actions/download-artifact@v5.0.0
-        with:
-          pattern: backend-coverage-*
-          path: ./coverage/
-      - name: Download all frontend coverage
-        uses: actions/download-artifact@v5.0.0
-        with:
-          pattern: frontend-coverage-*
-          path: ./coverage/
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ env.DEFAULT_PYTHON_VERSION }}
-      - name: Install coverage tools
-        run: |
-          pip install coverage
-          npm install -g nyc
-      # Merge backend coverage from all Python versions
-      - name: Merge backend coverage
-        run: |
-          coverage combine coverage/backend-coverage-*/.coverage
-          coverage xml -o merged-backend-coverage.xml
-      # Merge frontend coverage from all shards
-      - name: Merge frontend coverage
-        run: |
-          # Find all coverage-final.json files from the shards, exit with error if none found
-          shopt -s nullglob
-          files=(coverage/frontend-coverage-*/coverage/coverage-final.json)
-          if [ ${#files[@]} -eq 0 ]; then
-            echo "No frontend coverage JSON found under coverage/" >&2
-            exit 1
-          fi
-          # Create .nyc_output directory and copy each shard's coverage JSON into it with a unique name
-          mkdir -p .nyc_output
-          for coverage_json in "${files[@]}"; do
-            shard=$(basename "$(dirname "$(dirname "$coverage_json")")")
-            cp "$coverage_json" ".nyc_output/${shard}.json"
-          done
-          npx nyc merge .nyc_output .nyc_output/out.json
-          npx nyc report --reporter=lcovonly --report-dir coverage
-      - name: Upload coverage artifacts
-        uses: actions/upload-artifact@v4.6.2
-        with:
-          name: merged-coverage
-          path: |
-            merged-backend-coverage.xml
-            .nyc_output/*
-            coverage/lcov.info
-          retention-days: 7
-          if-no-files-found: error
-          include-hidden-files: true
-      - name: SonarQube Analysis
-        uses: SonarSource/sonarqube-scan-action@v5
-        env:
-          SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }}
   build-docker-image:
     name: Build Docker image for ${{ github.ref_name }}
     runs-on: ubuntu-24.04

docs/configuration.md

@@ -1805,23 +1805,3 @@ password. All of these options come from their similarly-named [Django settings]
 #### [`PAPERLESS_EMAIL_USE_SSL=<bool>`](#PAPERLESS_EMAIL_USE_SSL) {#PAPERLESS_EMAIL_USE_SSL}
 
 : Defaults to false.
-
-## Remote OCR
-
-#### [`PAPERLESS_REMOTE_OCR_ENGINE=<str>`](#PAPERLESS_REMOTE_OCR_ENGINE) {#PAPERLESS_REMOTE_OCR_ENGINE}
-
-: The remote OCR engine to use. Currently only Azure AI is supported as "azureai".
-
-    Defaults to None, which disables remote OCR.
-
-#### [`PAPERLESS_REMOTE_OCR_API_KEY=<str>`](#PAPERLESS_REMOTE_OCR_API_KEY) {#PAPERLESS_REMOTE_OCR_API_KEY}
-
-: The API key to use for the remote OCR engine.
-
-    Defaults to None.
-
-#### [`PAPERLESS_REMOTE_OCR_ENDPOINT=<str>`](#PAPERLESS_REMOTE_OCR_ENDPOINT) {#PAPERLESS_REMOTE_OCR_ENDPOINT}
-
-: The endpoint to use for the remote OCR engine. This is required for Azure AI.
-
-    Defaults to None.

docs/index.md

@@ -25,10 +25,9 @@ physical documents into a searchable online archive so you can keep, well, _less
 ## Features
 
 -   **Organize and index** your scanned documents with tags, correspondents, types, and more.
--   _Your_ data is stored locally on _your_ server and is never transmitted or shared in any way, unless you explicitly choose to do so.
+-   _Your_ data is stored locally on _your_ server and is never transmitted or shared in any way.
 -   Performs **OCR** on your documents, adding searchable and selectable text, even to documents scanned with only images.
-    -   Utilizes the open-source Tesseract engine to recognize more than 100 languages.
+-   Utilizes the open-source Tesseract engine to recognize more than 100 languages.
-    -   _New!_ Supports remote OCR with Azure AI (opt-in).
 -   Documents are saved as PDF/A format which is designed for long term storage, alongside the unaltered originals.
 -   Uses machine-learning to automatically add tags, correspondents and document types to your documents.
 -   Supports PDF documents, images, plain text files, Office documents (Word, Excel, PowerPoint, and LibreOffice equivalents)[^1] and more.

docs/usage.md

@@ -882,21 +882,6 @@ how regularly you intend to scan documents and use paperless.
     performed the task associated with the document, move it to the
     inbox.
 
-## Remote OCR
-
-!!! important
-
-    This feature is disabled by default and will always remain strictly "opt-in".
-
-Paperless-ngx supports performing OCR on documents using remote services. At the moment, this is limited to
-[Microsoft's Azure "Document Intelligence" service](https://azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence).
-This is of course a paid service (with a free tier) which requires an Azure account and subscription. Azure AI is not affiliated with
-Paperless-ngx in any way. When enabled, Paperless-ngx will automatically send appropriate documents to Azure for OCR processing, bypassing
-the local OCR engine. See the [configuration](configuration.md#PAPERLESS_REMOTE_OCR_ENGINE) options for more details.
-
-Additionally, when using a commercial service with this feature, consider both potential costs as well as any associated file size
-or page limitations (e.g. with a free tier).
-
 ## Architecture
 
 Paperless-ngx consists of the following components:

pyproject.toml

@@ -15,7 +15,6 @@ classifiers = [
 # This will allow testing to not install a webserver, mysql, etc
 
 dependencies = [
-  "azure-ai-documentintelligence>=1.0.2",
   "babel>=2.17",
   "bleach~=6.2.0",
   "celery[redis]~=5.5.1",
@@ -34,7 +33,7 @@ dependencies = [
   "django-cors-headers~=4.8.0",
   "django-extensions~=4.1",
   "django-filter~=25.1",
-  "django-guardian~=3.1.2",
+  "django-guardian~=3.2.0",
   "django-multiselectfield~=1.0.1",
   "django-soft-delete~=1.0.18",
   "django-treenode>=0.23.2",
@@ -234,7 +233,6 @@ testpaths = [
   "src/paperless_tesseract/tests/",
   "src/paperless_tika/tests",
   "src/paperless_text/tests/",
-  "src/paperless_remote/tests/",
 ]
 addopts = [
   "--pythonwarnings=all",
@@ -257,7 +255,6 @@ PAPERLESS_DISABLE_DBHANDLER = "true"
 PAPERLESS_CACHE_BACKEND = "django.core.cache.backends.locmem.LocMemCache"
 
 [tool.coverage.run]
-relative_files = true
 source = [
   "src/",
 ]

sonar-project.properties

@@ -1,24 +0,0 @@
-sonar.projectKey=paperless-ngx_paperless-ngx
-sonar.organization=paperless-ngx
-sonar.projectName=Paperless-ngx
-sonar.projectVersion=1.0
-
-# Source and test directories
-sonar.sources=src/,src-ui/
-sonar.test.inclusions=**/test_*.py,**/tests.py,**/*.spec.ts,**/*.test.ts
-
-# Language specific settings
-sonar.python.version=3.10,3.11,3.12,3.13
-
-# Coverage reports
-sonar.python.coverage.reportPaths=merged-backend-coverage.xml
-sonar.javascript.lcov.reportPaths=coverage/lcov.info
-
-# Test execution reports
-sonar.junit.reportPaths=**/junit.xml,**/test-results.xml
-
-# Encoding
-sonar.sourceEncoding=UTF-8
-
-# Exclusions
-sonar.exclusions=**/migrations/**,**/node_modules/**,**/static/**,**/venv/**,**/.venv/**,**/dist/**

src-ui/src/app/components/common/edit-dialog/custom-field-edit-dialog/custom-field-edit-dialog.component.ts

@@ -177,10 +177,16 @@ export class CustomFieldEditDialogComponent
   }
 
   public removeSelectOption(index: number) {
-    this.selectOptions.removeAt(index)
+    const globalIndex =
-    this._allSelectOptions.splice(
+      index + (this.selectOptionsPage - 1) * SELECT_OPTION_PAGE_SIZE
-      index + (this.selectOptionsPage - 1) * SELECT_OPTION_PAGE_SIZE,
+    this._allSelectOptions.splice(globalIndex, 1)
-      1
+
+    const totalPages = Math.max(
+      1,
+      Math.ceil(this._allSelectOptions.length / SELECT_OPTION_PAGE_SIZE)
     )
+    const targetPage = Math.min(this.selectOptionsPage, totalPages)
+
+    this.selectOptionsPage = targetPage
   }
 }

src/documents/barcodes.py

@@ -164,6 +164,9 @@ class BarcodePlugin(ConsumeTaskPlugin):
                         mailrule_id=self.input_doc.mailrule_id,
                         # Can't use same folder or the consume might grab it again
                         original_file=(tmp_dir / new_document.name).resolve(),
+                        # Adding optional original_path for later uses in
+                        # workflow matching
+                        original_path=self.input_doc.original_file,
                     ),
                     # All the same metadata
                     self.metadata,

src/documents/data_models.py

@@ -156,6 +156,7 @@ class ConsumableDocument:
 
     source: DocumentSource
     original_file: Path
+    original_path: Path | None = None
     mailrule_id: int | None = None
     mime_type: str = dataclasses.field(init=False, default=None)
 

src/documents/matching.py

@@ -314,11 +314,19 @@ def consumable_document_matches_workflow(
         trigger_matched = False
 
     # Document path vs trigger path
+
+    # Use the original_path if set, else us the original_file
+    match_against = (
+        document.original_path
+        if document.original_path is not None
+        else document.original_file
+    )
+
     if (
         trigger.filter_path is not None
         and len(trigger.filter_path) > 0
         and not fnmatch(
-            document.original_file,
+            match_against,
             trigger.filter_path,
         )
     ):

src/documents/tests/test_barcodes.py

@@ -614,14 +614,16 @@ class TestBarcodeNewConsume(
             self.assertIsNotFile(temp_copy)
 
             # Check the split files exist
+            # Check the original_path is set
             # Check the source is unchanged
             # Check the overrides are unchanged
             for (
                 new_input_doc,
                 new_doc_overrides,
             ) in self.get_all_consume_delay_call_args():
-                self.assertEqual(new_input_doc.source, DocumentSource.ConsumeFolder)
                 self.assertIsFile(new_input_doc.original_file)
+                self.assertEqual(new_input_doc.original_path, temp_copy)
+                self.assertEqual(new_input_doc.source, DocumentSource.ConsumeFolder)
                 self.assertEqual(overrides, new_doc_overrides)
 
 

src/paperless/settings.py

@@ -322,7 +322,6 @@ INSTALLED_APPS = [
     "paperless_tesseract.apps.PaperlessTesseractConfig",
     "paperless_text.apps.PaperlessTextConfig",
     "paperless_mail.apps.PaperlessMailConfig",
-    "paperless_remote.apps.PaperlessRemoteParserConfig",
     "django.contrib.admin",
     "rest_framework",
     "rest_framework.authtoken",
@@ -1390,10 +1389,3 @@ WEBHOOKS_ALLOW_INTERNAL_REQUESTS = __get_boolean(
     "PAPERLESS_WEBHOOKS_ALLOW_INTERNAL_REQUESTS",
     "true",
 )
-
-###############################################################################
-# Remote Parser                                                               #
-###############################################################################
-REMOTE_OCR_ENGINE = os.getenv("PAPERLESS_REMOTE_OCR_ENGINE")
-REMOTE_OCR_API_KEY = os.getenv("PAPERLESS_REMOTE_OCR_API_KEY")
-REMOTE_OCR_ENDPOINT = os.getenv("PAPERLESS_REMOTE_OCR_ENDPOINT")

src/paperless_remote/__init__.py

@@ -1,4 +0,0 @@
-# this is here so that django finds the checks.
-from paperless_remote.checks import check_remote_parser_configured
-
-__all__ = ["check_remote_parser_configured"]

src/paperless_remote/apps.py

@@ -1,14 +0,0 @@
-from django.apps import AppConfig
-
-from paperless_remote.signals import remote_consumer_declaration
-
-
-class PaperlessRemoteParserConfig(AppConfig):
-    name = "paperless_remote"
-
-    def ready(self):
-        from documents.signals import document_consumer_declaration
-
-        document_consumer_declaration.connect(remote_consumer_declaration)
-
-        AppConfig.ready(self)

src/paperless_remote/checks.py

@@ -1,17 +0,0 @@
-from django.conf import settings
-from django.core.checks import Error
-from django.core.checks import register
-
-
-@register()
-def check_remote_parser_configured(app_configs, **kwargs):
-    if settings.REMOTE_OCR_ENGINE == "azureai" and not (
-        settings.REMOTE_OCR_ENDPOINT and settings.REMOTE_OCR_API_KEY
-    ):
-        return [
-            Error(
-                "Azure AI remote parser requires endpoint and API key to be configured.",
-            ),
-        ]
-
-    return []

src/paperless_remote/parsers.py

@@ -1,113 +0,0 @@
-from pathlib import Path
-
-from django.conf import settings
-
-from paperless_tesseract.parsers import RasterisedDocumentParser
-
-
-class RemoteEngineConfig:
-    def __init__(
-        self,
-        engine: str,
-        api_key: str | None = None,
-        endpoint: str | None = None,
-    ):
-        self.engine = engine
-        self.api_key = api_key
-        self.endpoint = endpoint
-
-    def engine_is_valid(self):
-        valid = self.engine in ["azureai"] and self.api_key is not None
-        if self.engine == "azureai":
-            valid = valid and self.endpoint is not None
-        return valid
-
-
-class RemoteDocumentParser(RasterisedDocumentParser):
-    """
-    This parser uses a remote OCR engine to parse documents. Currently, it supports Azure AI Vision
-    as this is the only service that provides a remote OCR API with text-embedded PDF output.
-    """
-
-    logging_name = "paperless.parsing.remote"
-
-    def get_settings(self) -> RemoteEngineConfig:
-        """
-        Returns the configuration for the remote OCR engine, loaded from Django settings.
-        """
-        return RemoteEngineConfig(
-            engine=settings.REMOTE_OCR_ENGINE,
-            api_key=settings.REMOTE_OCR_API_KEY,
-            endpoint=settings.REMOTE_OCR_ENDPOINT,
-        )
-
-    def supported_mime_types(self):
-        if self.settings.engine_is_valid():
-            return {
-                "application/pdf": ".pdf",
-                "image/png": ".png",
-                "image/jpeg": ".jpg",
-                "image/tiff": ".tiff",
-                "image/bmp": ".bmp",
-                "image/gif": ".gif",
-                "image/webp": ".webp",
-            }
-        else:
-            return {}
-
-    def azure_ai_vision_parse(
-        self,
-        file: Path,
-    ) -> str | None:
-        """
-        Uses Azure AI Vision to parse the document and return the text content.
-        It requests a searchable PDF output with embedded text.
-        The PDF is saved to the archive_path attribute.
-        Returns the text content extracted from the document.
-        If the parsing fails, it returns None.
-        """
-        from azure.ai.documentintelligence import DocumentIntelligenceClient
-        from azure.ai.documentintelligence.models import AnalyzeDocumentRequest
-        from azure.ai.documentintelligence.models import AnalyzeOutputOption
-        from azure.ai.documentintelligence.models import DocumentContentFormat
-        from azure.core.credentials import AzureKeyCredential
-
-        client = DocumentIntelligenceClient(
-            endpoint=self.settings.endpoint,
-            credential=AzureKeyCredential(self.settings.api_key),
-        )
-
-        with file.open("rb") as f:
-            analyze_request = AnalyzeDocumentRequest(bytes_source=f.read())
-            poller = client.begin_analyze_document(
-                model_id="prebuilt-read",
-                body=analyze_request,
-                output_content_format=DocumentContentFormat.TEXT,
-                output=[AnalyzeOutputOption.PDF],  # request searchable PDF output
-                content_type="application/json",
-            )
-
-        poller.wait()
-        result_id = poller.details["operation_id"]
-        result = poller.result()
-
-        # Download the PDF with embedded text
-        self.archive_path = self.tempdir / "archive.pdf"
-        with self.archive_path.open("wb") as f:
-            for chunk in client.get_analyze_result_pdf(
-                model_id="prebuilt-read",
-                result_id=result_id,
-            ):
-                f.write(chunk)
-
-        client.close()
-        return result.content
-
-    def parse(self, document_path: Path, mime_type, file_name=None):
-        if not self.settings.engine_is_valid():
-            self.log.warning(
-                "No valid remote parser engine is configured, content will be empty.",
-            )
-            self.text = ""
-        elif self.settings.engine == "azureai":
-            self.text = self.azure_ai_vision_parse(document_path)

src/paperless_remote/signals.py

@@ -1,18 +0,0 @@
-def get_parser(*args, **kwargs):
-    from paperless_remote.parsers import RemoteDocumentParser
-
-    return RemoteDocumentParser(*args, **kwargs)
-
-
-def get_supported_mime_types():
-    from paperless_remote.parsers import RemoteDocumentParser
-
-    return RemoteDocumentParser(None).supported_mime_types()
-
-
-def remote_consumer_declaration(sender, **kwargs):
-    return {
-        "parser": get_parser,
-        "weight": 5,
-        "mime_types": get_supported_mime_types(),
-    }

src/paperless_remote/tests/test_checks.py

@@ -1,24 +0,0 @@
-from unittest import TestCase
-
-from django.test import override_settings
-
-from paperless_remote import check_remote_parser_configured
-
-
-class TestChecks(TestCase):
-    @override_settings(REMOTE_OCR_ENGINE=None)
-    def test_no_engine(self):
-        msgs = check_remote_parser_configured(None)
-        self.assertEqual(len(msgs), 0)
-
-    @override_settings(REMOTE_OCR_ENGINE="azureai")
-    @override_settings(REMOTE_OCR_API_KEY="somekey")
-    @override_settings(REMOTE_OCR_ENDPOINT=None)
-    def test_azure_no_endpoint(self):
-        msgs = check_remote_parser_configured(None)
-        self.assertEqual(len(msgs), 1)
-        self.assertTrue(
-            msgs[0].msg.startswith(
-                "Azure AI remote parser requires endpoint and API key to be configured.",
-            ),
-        )

src/paperless_remote/tests/test_parser.py

@@ -1,101 +0,0 @@
-import uuid
-from pathlib import Path
-from unittest import mock
-
-from django.test import TestCase
-from django.test import override_settings
-
-from documents.tests.utils import DirectoriesMixin
-from documents.tests.utils import FileSystemAssertsMixin
-from paperless_remote.parsers import RemoteDocumentParser
-from paperless_remote.signals import get_parser
-
-
-class TestParser(DirectoriesMixin, FileSystemAssertsMixin, TestCase):
-    SAMPLE_FILES = Path(__file__).resolve().parent / "samples"
-
-    def assertContainsStrings(self, content: str, strings: list[str]):
-        # Asserts that all strings appear in content, in the given order.
-        indices = []
-        for s in strings:
-            if s in content:
-                indices.append(content.index(s))
-            else:
-                self.fail(f"'{s}' is not in '{content}'")
-        self.assertListEqual(indices, sorted(indices))
-
-    @mock.patch("paperless_tesseract.parsers.run_subprocess")
-    @mock.patch("azure.ai.documentintelligence.DocumentIntelligenceClient")
-    def test_get_text_with_azure(self, mock_client_cls, mock_subprocess):
-        # Arrange mock Azure client
-        mock_client = mock.Mock()
-        mock_client_cls.return_value = mock_client
-
-        # Simulate poller result and its `.details`
-        mock_poller = mock.Mock()
-        mock_poller.wait.return_value = None
-        mock_poller.details = {"operation_id": "fake-op-id"}
-        mock_client.begin_analyze_document.return_value = mock_poller
-        mock_poller.result.return_value.content = "This is a test document."
-
-        # Return dummy PDF bytes
-        mock_client.get_analyze_result_pdf.return_value = [
-            b"%PDF-",
-            b"1.7 ",
-            b"FAKEPDF",
-        ]
-
-        # Simulate pdftotext by writing dummy text to sidecar file
-        def fake_run(cmd, *args, **kwargs):
-            with Path(cmd[-1]).open("w", encoding="utf-8") as f:
-                f.write("This is a test document.")
-
-        mock_subprocess.side_effect = fake_run
-
-        with override_settings(
-            REMOTE_OCR_ENGINE="azureai",
-            REMOTE_OCR_API_KEY="somekey",
-            REMOTE_OCR_ENDPOINT="https://endpoint.cognitiveservices.azure.com",
-        ):
-            parser = get_parser(uuid.uuid4())
-            parser.parse(
-                self.SAMPLE_FILES / "simple-digital.pdf",
-                "application/pdf",
-            )
-
-            self.assertContainsStrings(
-                parser.text.strip(),
-                ["This is a test document."],
-            )
-
-    @override_settings(
-        REMOTE_OCR_ENGINE="azureai",
-        REMOTE_OCR_API_KEY="key",
-        REMOTE_OCR_ENDPOINT="https://endpoint.cognitiveservices.azure.com",
-    )
-    def test_supported_mime_types_valid_config(self):
-        parser = RemoteDocumentParser(uuid.uuid4())
-        expected_types = {
-            "application/pdf": ".pdf",
-            "image/png": ".png",
-            "image/jpeg": ".jpg",
-            "image/tiff": ".tiff",
-            "image/bmp": ".bmp",
-            "image/gif": ".gif",
-            "image/webp": ".webp",
-        }
-        self.assertEqual(parser.supported_mime_types(), expected_types)
-
-    def test_supported_mime_types_invalid_config(self):
-        parser = get_parser(uuid.uuid4())
-        self.assertEqual(parser.supported_mime_types(), {})
-
-    @override_settings(
-        REMOTE_OCR_ENGINE=None,
-        REMOTE_OCR_API_KEY=None,
-        REMOTE_OCR_ENDPOINT=None,
-    )
-    def test_parse_with_invalid_config(self):
-        parser = get_parser(uuid.uuid4())
-        parser.parse(self.SAMPLE_FILES / "simple-digital.pdf", "application/pdf")
-        self.assertEqual(parser.text, "")

uv.lock

@@ -95,34 +95,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/af/cc/55a32a2c98022d88812b5986d2a92c4ff3ee087e83b712ebc703bba452bf/Automat-24.8.1-py3-none-any.whl", hash = "sha256:bf029a7bc3da1e2c24da2343e7598affaa9f10bf0ab63ff808566ce90551e02a", size = 42585, upload-time = "2024-08-19T17:31:56.729Z" },
 ]
 
-[[package]]
-name = "azure-ai-documentintelligence"
-version = "1.0.2"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "azure-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "isodate", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/44/7b/8115cd713e2caa5e44def85f2b7ebd02a74ae74d7113ba20bdd41fd6dd80/azure_ai_documentintelligence-1.0.2.tar.gz", hash = "sha256:4d75a2513f2839365ebabc0e0e1772f5601b3a8c9a71e75da12440da13b63484", size = 170940 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/d9/75/c9ec040f23082f54ffb1977ff8f364c2d21c79a640a13d1c1809e7fd6b1a/azure_ai_documentintelligence-1.0.2-py3-none-any.whl", hash = "sha256:e1fb446abbdeccc9759d897898a0fe13141ed29f9ad11fc705f951925822ed59", size = 106005 },
-]
-
-[[package]]
-name = "azure-core"
-version = "1.33.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "requests", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "six", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-    { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/75/aa/7c9db8edd626f1a7d99d09ef7926f6f4fb34d5f9fa00dc394afdfe8e2a80/azure_core-1.33.0.tar.gz", hash = "sha256:f367aa07b5e3005fec2c1e184b882b0b039910733907d001c20fb08ebb8c0eb9", size = 295633 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/07/b7/76b7e144aa53bd206bf1ce34fa75350472c3f69bf30e5c8c18bc9881035d/azure_core-1.33.0-py3-none-any.whl", hash = "sha256:9b5b6d0223a1d38c37500e6971118c1e0f13f54951e6893968b38910bc9cda8f", size = 207071 },
-]
-
 [[package]]
 name = "babel"
 version = "2.17.0"
@@ -810,15 +782,15 @@ wheels = [
 
 [[package]]
 name = "django-guardian"
-version = "3.1.3"
+version = "3.2.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "django", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "typing-extensions", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux')" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/81/d3/436a44c7688fce1a978224c349ba66c95bf9103d548596b7a2694fd58c03/django_guardian-3.1.3.tar.gz", hash = "sha256:12b5e66c18c97088b0adfa033ab14be68c321c170fd3ec438898271f00a71699", size = 93571, upload-time = "2025-09-10T08:36:23.928Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/e2/f9/bcff6a931298b9eb55e1550b55ab964fab747f594ba6d2d81cbe19736c5f/django_guardian-3.2.0.tar.gz", hash = "sha256:9e18ecd2e211b665972690c2d03d27bce0ea4932b5efac24a4bb9d526950a69e", size = 99940, upload-time = "2025-09-16T10:35:53.609Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/83/fc/6fd7b8bc7c52cbbfd1714673cfd28ff0b3fae32265c52d492ec0dee22cb8/django_guardian-3.1.3-py3-none-any.whl", hash = "sha256:90e28b40eea65c326a3a961908cc300f9e1cd69b74e88d38317a9befa167b71c", size = 127687, upload-time = "2025-09-10T08:36:22.533Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/23/63a7d868373a73d25c4a5c2dd3cce3aaeb22fbee82560d42b6e93ba01403/django_guardian-3.2.0-py3-none-any.whl", hash = "sha256:0768565a057988a93fc4a1d93649c4a794abfd7473a8408a079cfbf83c559d77", size = 134674, upload-time = "2025-09-16T10:35:51.69Z" },
 ]
 
 [[package]]
@@ -1440,15 +1412,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/c7/fc/4e5a141c3f7c7bed550ac1f69e599e92b6be449dd4677ec09f325cad0955/inotifyrecursive-0.3.5-py3-none-any.whl", hash = "sha256:7e5f4a2e1dc2bef0efa3b5f6b339c41fb4599055a2b54909d020e9e932cc8d2f", size = 8009, upload-time = "2020-11-20T12:38:46.981Z" },
 ]
 
-[[package]]
-name = "isodate"
-version = "0.7.2"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/54/4d/e940025e2ce31a8ce1202635910747e5a87cc3a6a6bb2d00973375014749/isodate-0.7.2.tar.gz", hash = "sha256:4cd1aa0f43ca76f4a6c6c0292a85f40b35ec2e43e315b59f06e6d32171a953e6", size = 29705 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/15/aa/0aca39a37d3c7eb941ba736ede56d689e7be91cab5d9ca846bde3999eba6/isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15", size = 22320 },
-]
-
 [[package]]
 name = "jinja2"
 version = "3.1.6"
@@ -2069,7 +2032,6 @@ name = "paperless-ngx"
 version = "2.18.4"
 source = { virtual = "." }
 dependencies = [
-    { name = "azure-ai-documentintelligence", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "babel", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "bleach", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "celery", extra = ["redis"], marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
@@ -2207,7 +2169,6 @@ typing = [
 
 [package.metadata]
 requires-dist = [
-    { name = "azure-ai-documentintelligence", specifier = ">=1.0.2" },
     { name = "babel", specifier = ">=2.17" },
     { name = "bleach", specifier = "~=6.2.0" },
     { name = "celery", extras = ["redis"], specifier = "~=5.5.1" },
@@ -2224,7 +2185,7 @@ requires-dist = [
     { name = "django-cors-headers", specifier = "~=4.8.0" },
     { name = "django-extensions", specifier = "~=4.1" },
     { name = "django-filter", specifier = "~=25.1" },
-    { name = "django-guardian", specifier = "~=3.1.2" },
+    { name = "django-guardian", specifier = "~=3.2.0" },
     { name = "django-multiselectfield", specifier = "~=1.0.1" },
     { name = "django-soft-delete", specifier = "~=1.0.18" },
     { name = "django-treenode", specifier = ">=0.23.2" },