Bump ocrmypdf from 16.13.0 to 17.3.0 in the document-processing group

Bumps the document-processing group with 1 update: [ocrmypdf](https://github.com/ocrmypdf/OCRmyPDF).


Updates `ocrmypdf` from 16.13.0 to 17.3.0
- [Release notes](https://github.com/ocrmypdf/OCRmyPDF/releases)
- [Commits](https://github.com/ocrmypdf/OCRmyPDF/compare/v16.13.0...v17.3.0)

---
updated-dependencies:
- dependency-name: ocrmypdf
  dependency-version: 17.3.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: document-processing
...

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

docs/configuration.md

@@ -1947,12 +1947,6 @@ current backend. If not supplied, defaults to "gpt-3.5-turbo" for OpenAI and "ll
 
     Defaults to None.
 
-#### [`PAPERLESS_AI_LLM_ALLOW_INTERNAL_ENDPOINTS=<bool>`](#PAPERLESS_AI_LLM_ALLOW_INTERNAL_ENDPOINTS) {#PAPERLESS_AI_LLM_ALLOW_INTERNAL_ENDPOINTS}
-
-: If set to false, Paperless blocks AI endpoint URLs that resolve to non-public addresses (e.g., localhost, etc).
-
-    Defaults to true, which allows internal endpoints.
-
 #### [`PAPERLESS_AI_LLM_INDEX_TASK_CRON=<cron expression>`](#PAPERLESS_AI_LLM_INDEX_TASK_CRON) {#PAPERLESS_AI_LLM_INDEX_TASK_CRON}
 
 : Configures the schedule to update the AI embeddings of text content and metadata for all documents. Only performed if

pyproject.toml

@@ -42,10 +42,10 @@ dependencies = [
   "djangorestframework~=3.16",
   "djangorestframework-guardian~=0.4.0",
   "drf-spectacular~=0.28",
-  "drf-spectacular-sidecar~=2026.1.1",
+  "drf-spectacular-sidecar~=2026.3.1",
   "drf-writable-nested~=0.7.1",
   "faiss-cpu>=1.10",
-  "filelock~=3.20.3",
+  "filelock~=3.25.2",
   "flower~=2.0.1",
   "gotenberg-client~=0.13.1",
   "httpx-oauth~=0.16",
@@ -60,7 +60,7 @@ dependencies = [
   "llama-index-llms-openai>=0.6.13",
   "llama-index-vector-stores-faiss>=0.5.2",
   "nltk~=3.9.1",
-  "ocrmypdf~=16.13.0",
+  "ocrmypdf~=17.3.0",
   "openai>=1.76",
   "pathvalidate~=3.3.1",
   "pdf2image~=1.17.0",
@@ -72,7 +72,7 @@ dependencies = [
   "rapidfuzz~=3.14.0",
   "redis[hiredis]~=5.2.1",
   "regex>=2025.9.18",
-  "scikit-learn~=1.7.0",
+  "scikit-learn~=1.8.0",
   "sentence-transformers>=4.1",
   "setproctitle~=1.3.4",
   "tika-client~=0.10.0",
@@ -111,7 +111,7 @@ docs = [
 testing = [
   "daphne",
   "factory-boy~=3.3.1",
-  "faker~=40.5.1",
+  "faker~=40.8.0",
   "imagehash",
   "pytest~=9.0.0",
   "pytest-cov~=7.0.0",

src/documents/tests/test_api_app_config.py

@@ -5,7 +5,6 @@ from unittest.mock import patch
 
 from django.contrib.auth.models import User
 from django.core.files.uploadedfile import SimpleUploadedFile
-from django.test import override_settings
 from rest_framework import status
 from rest_framework.test import APITestCase
 
@@ -694,17 +693,3 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):
                 content_type="application/json",
             )
             mock_update.assert_called_once()
-
-    @override_settings(LLM_ALLOW_INTERNAL_ENDPOINTS=False)
-    def test_update_llm_endpoint_blocks_internal_endpoint_when_disallowed(self) -> None:
-        response = self.client.patch(
-            f"{self.ENDPOINT}1/",
-            json.dumps(
-                {
-                    "llm_endpoint": "http://127.0.0.1:11434",
-                },
-            ),
-            content_type="application/json",
-        )
-        self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
-        self.assertIn("non-public address", str(response.data).lower())

src/documents/workflows/webhooks.py

@@ -1,14 +1,12 @@
+import ipaddress
 import logging
+import socket
+from urllib.parse import urlparse
 
 import httpx
 from celery import shared_task
 from django.conf import settings
 
-from paperless.network import format_host_for_url
-from paperless.network import is_public_ip
-from paperless.network import resolve_hostname_ips
-from paperless.network import validate_outbound_http_url
-
 logger = logging.getLogger("paperless.workflows.webhooks")
 
 
@@ -36,19 +34,23 @@ class WebhookTransport(httpx.HTTPTransport):
             raise httpx.ConnectError("No hostname in request URL")
 
         try:
-            ips = resolve_hostname_ips(hostname)
-        except ValueError as e:
-            raise httpx.ConnectError(str(e)) from e
+            addr_info = socket.getaddrinfo(hostname, None)
+        except socket.gaierror as e:
+            raise httpx.ConnectError(f"Could not resolve hostname: {hostname}") from e
+
+        ips = [info[4][0] for info in addr_info if info and info[4]]
+        if not ips:
+            raise httpx.ConnectError(f"Could not resolve hostname: {hostname}")
 
         if not self.allow_internal:
             for ip_str in ips:
-                if not is_public_ip(ip_str):
+                if not WebhookTransport.is_public_ip(ip_str):
                     raise httpx.ConnectError(
                         f"Connection blocked: {hostname} resolves to a non-public address",
                     )
 
         ip_str = ips[0]
-        formatted_ip = format_host_for_url(ip_str)
+        formatted_ip = self._format_ip_for_url(ip_str)
 
         new_headers = httpx.Headers(request.headers)
         if "host" in new_headers:
@@ -67,6 +69,40 @@ class WebhookTransport(httpx.HTTPTransport):
 
         return super().handle_request(request)
 
+    def _format_ip_for_url(self, ip: str) -> str:
+        """
+        Format IP address for use in URL (wrap IPv6 in brackets)
+        """
+        try:
+            ip_obj = ipaddress.ip_address(ip)
+            if ip_obj.version == 6:
+                return f"[{ip}]"
+            return ip
+        except ValueError:
+            return ip
+
+    @staticmethod
+    def is_public_ip(ip: str | int) -> bool:
+        try:
+            obj = ipaddress.ip_address(ip)
+            return not (
+                obj.is_private
+                or obj.is_loopback
+                or obj.is_link_local
+                or obj.is_multicast
+                or obj.is_unspecified
+            )
+        except ValueError:  # pragma: no cover
+            return False
+
+    @staticmethod
+    def resolve_first_ip(host: str) -> str | None:
+        try:
+            info = socket.getaddrinfo(host, None)
+            return info[0][4][0] if info else None
+        except Exception:  # pragma: no cover
+            return None
+
 
 @shared_task(
     retry_backoff=True,
@@ -82,24 +118,21 @@ def send_webhook(
     *,
     as_json: bool = False,
 ):
-    try:
-        parsed = validate_outbound_http_url(
-            url,
-            allowed_schemes=settings.WEBHOOKS_ALLOWED_SCHEMES,
-            allowed_ports=settings.WEBHOOKS_ALLOWED_PORTS,
-            # Internal-address checks happen in transport to preserve ConnectError behavior.
-            allow_internal=True,
-        )
-    except ValueError as e:
-        logger.warning("Webhook blocked: %s", e)
-        raise
-
-    hostname = parsed.hostname
-    if hostname is None:  # pragma: no cover
+    p = urlparse(url)
+    if p.scheme.lower() not in settings.WEBHOOKS_ALLOWED_SCHEMES or not p.hostname:
+        logger.warning("Webhook blocked: invalid scheme/hostname")
         raise ValueError("Invalid URL scheme or hostname.")
 
+    port = p.port or (443 if p.scheme == "https" else 80)
+    if (
+        len(settings.WEBHOOKS_ALLOWED_PORTS) > 0
+        and port not in settings.WEBHOOKS_ALLOWED_PORTS
+    ):
+        logger.warning("Webhook blocked: port not permitted")
+        raise ValueError("Destination port not permitted.")
+
     transport = WebhookTransport(
-        hostname=hostname,
+        hostname=p.hostname,
         allow_internal=settings.WEBHOOKS_ALLOW_INTERNAL_REQUESTS,
     )
 

src/paperless/config.py

@@ -188,7 +188,6 @@ class AIConfig(BaseConfig):
     llm_model: str = dataclasses.field(init=False)
     llm_api_key: str = dataclasses.field(init=False)
     llm_endpoint: str = dataclasses.field(init=False)
-    llm_allow_internal_endpoints: bool = dataclasses.field(init=False)
 
     def __post_init__(self) -> None:
         app_config = self._get_config_instance()
@@ -204,7 +203,6 @@ class AIConfig(BaseConfig):
         self.llm_model = app_config.llm_model or settings.LLM_MODEL
         self.llm_api_key = app_config.llm_api_key or settings.LLM_API_KEY
         self.llm_endpoint = app_config.llm_endpoint or settings.LLM_ENDPOINT
-        self.llm_allow_internal_endpoints = settings.LLM_ALLOW_INTERNAL_ENDPOINTS
 
     @property
     def llm_index_enabled(self) -> bool:

src/paperless/network.py

@@ -1,76 +0,0 @@
-import ipaddress
-import socket
-from collections.abc import Collection
-from urllib.parse import ParseResult
-from urllib.parse import urlparse
-
-
-def is_public_ip(ip: str | int) -> bool:
-    try:
-        obj = ipaddress.ip_address(ip)
-        return not (
-            obj.is_private
-            or obj.is_loopback
-            or obj.is_link_local
-            or obj.is_multicast
-            or obj.is_unspecified
-        )
-    except ValueError:  # pragma: no cover
-        return False
-
-
-def resolve_hostname_ips(hostname: str) -> list[str]:
-    try:
-        addr_info = socket.getaddrinfo(hostname, None)
-    except socket.gaierror as e:
-        raise ValueError(f"Could not resolve hostname: {hostname}") from e
-
-    ips = [info[4][0] for info in addr_info if info and info[4]]
-    if not ips:
-        raise ValueError(f"Could not resolve hostname: {hostname}")
-    return ips
-
-
-def format_host_for_url(host: str) -> str:
-    """
-    Format IP address for URL use (wrap IPv6 in brackets).
-    """
-    try:
-        ip_obj = ipaddress.ip_address(host)
-        if ip_obj.version == 6:
-            return f"[{host}]"
-        return host
-    except ValueError:
-        return host
-
-
-def validate_outbound_http_url(
-    url: str,
-    *,
-    allowed_schemes: Collection[str] = ("http", "https"),
-    allowed_ports: Collection[int] | None = None,
-    allow_internal: bool = False,
-) -> ParseResult:
-    parsed = urlparse(url)
-    scheme = parsed.scheme.lower()
-
-    if scheme not in allowed_schemes or not parsed.hostname:
-        raise ValueError("Invalid URL scheme or hostname.")
-
-    default_port = 443 if scheme == "https" else 80
-    try:
-        port = parsed.port or default_port
-    except ValueError as e:
-        raise ValueError("Invalid URL scheme or hostname.") from e
-
-    if allowed_ports and port not in allowed_ports:
-        raise ValueError("Destination port not permitted.")
-
-    if not allow_internal:
-        for ip_str in resolve_hostname_ips(parsed.hostname):
-            if not is_public_ip(ip_str):
-                raise ValueError(
-                    f"Connection blocked: {parsed.hostname} resolves to a non-public address",
-                )
-
-    return parsed

src/paperless/serialisers.py

@@ -6,7 +6,6 @@ from allauth.mfa.models import Authenticator
 from allauth.mfa.totp.internal.auth import TOTP
 from allauth.socialaccount.models import SocialAccount
 from allauth.socialaccount.models import SocialApp
-from django.conf import settings
 from django.contrib.auth.models import Group
 from django.contrib.auth.models import Permission
 from django.contrib.auth.models import User
@@ -16,7 +15,6 @@ from rest_framework import serializers
 from rest_framework.authtoken.serializers import AuthTokenSerializer
 
 from paperless.models import ApplicationConfiguration
-from paperless.network import validate_outbound_http_url
 from paperless.validators import reject_dangerous_svg
 from paperless_mail.serialisers import ObfuscatedPasswordField
 
@@ -238,20 +236,6 @@ class ApplicationConfigurationSerializer(serializers.ModelSerializer):
             reject_dangerous_svg(file)
         return file
 
-    def validate_llm_endpoint(self, value: str | None) -> str | None:
-        if not value:
-            return value
-
-        try:
-            validate_outbound_http_url(
-                value,
-                allow_internal=settings.LLM_ALLOW_INTERNAL_ENDPOINTS,
-            )
-        except ValueError as e:
-            raise serializers.ValidationError(str(e)) from e
-
-        return value
-
     class Meta:
         model = ApplicationConfiguration
         fields = "__all__"

src/paperless/settings/__init__.py

@@ -1112,7 +1112,3 @@ LLM_BACKEND = os.getenv("PAPERLESS_AI_LLM_BACKEND")  # "ollama" or "openai"
 LLM_MODEL = os.getenv("PAPERLESS_AI_LLM_MODEL")
 LLM_API_KEY = os.getenv("PAPERLESS_AI_LLM_API_KEY")
 LLM_ENDPOINT = os.getenv("PAPERLESS_AI_LLM_ENDPOINT")
-LLM_ALLOW_INTERNAL_ENDPOINTS = get_bool_from_env(
-    "PAPERLESS_AI_LLM_ALLOW_INTERNAL_ENDPOINTS",
-    "true",
-)

src/paperless_ai/client.py

@@ -7,7 +7,6 @@ if TYPE_CHECKING:
     from llama_index.llms.openai import OpenAI
 
 from paperless.config import AIConfig
-from paperless.network import validate_outbound_http_url
 from paperless_ai.base_model import DocumentClassifierSchema
 
 logger = logging.getLogger("paperless_ai.client")
@@ -26,28 +25,17 @@ class AIClient:
         if self.settings.llm_backend == "ollama":
             from llama_index.llms.ollama import Ollama
 
-            endpoint = self.settings.llm_endpoint or "http://localhost:11434"
-            validate_outbound_http_url(
-                endpoint,
-                allow_internal=self.settings.llm_allow_internal_endpoints,
-            )
             return Ollama(
                 model=self.settings.llm_model or "llama3.1",
-                base_url=endpoint,
+                base_url=self.settings.llm_endpoint or "http://localhost:11434",
                 request_timeout=120,
             )
         elif self.settings.llm_backend == "openai":
             from llama_index.llms.openai import OpenAI
 
-            endpoint = self.settings.llm_endpoint or None
-            if endpoint:
-                validate_outbound_http_url(
-                    endpoint,
-                    allow_internal=self.settings.llm_allow_internal_endpoints,
-                )
             return OpenAI(
                 model=self.settings.llm_model or "gpt-3.5-turbo",
-                api_base=endpoint,
+                api_base=self.settings.llm_endpoint or None,
                 api_key=self.settings.llm_api_key,
             )
         else:

src/paperless_ai/embedding.py

@@ -12,7 +12,6 @@ from documents.models import Document
 from documents.models import Note
 from paperless.config import AIConfig
 from paperless.models import LLMEmbeddingBackend
-from paperless.network import validate_outbound_http_url
 
 
 def get_embedding_model() -> "BaseEmbedding":
@@ -22,16 +21,10 @@ def get_embedding_model() -> "BaseEmbedding":
         case LLMEmbeddingBackend.OPENAI:
             from llama_index.embeddings.openai import OpenAIEmbedding
 
-            endpoint = config.llm_endpoint or None
-            if endpoint:
-                validate_outbound_http_url(
-                    endpoint,
-                    allow_internal=config.llm_allow_internal_endpoints,
-                )
             return OpenAIEmbedding(
                 model=config.llm_embedding_model or "text-embedding-3-small",
                 api_key=config.llm_api_key,
-                api_base=endpoint,
+                api_base=config.llm_endpoint or None,
             )
         case LLMEmbeddingBackend.HUGGINGFACE:
             from llama_index.embeddings.huggingface import HuggingFaceEmbedding

src/paperless_ai/tests/test_client.py

@@ -12,7 +12,6 @@ from paperless_ai.client import AIClient
 def mock_ai_config():
     with patch("paperless_ai.client.AIConfig") as MockAIConfig:
         mock_config = MagicMock()
-        mock_config.llm_allow_internal_endpoints = True
         MockAIConfig.return_value = mock_config
         yield mock_config
 
@@ -60,17 +59,6 @@ def test_get_llm_openai(mock_ai_config, mock_openai_llm):
     assert client.llm == mock_openai_llm.return_value
 
 
-def test_get_llm_openai_blocks_internal_endpoint_when_disallowed(mock_ai_config):
-    mock_ai_config.llm_backend = "openai"
-    mock_ai_config.llm_model = "test_model"
-    mock_ai_config.llm_api_key = "test_api_key"
-    mock_ai_config.llm_endpoint = "http://127.0.0.1:1234"
-    mock_ai_config.llm_allow_internal_endpoints = False
-
-    with pytest.raises(ValueError, match="non-public address"):
-        AIClient()
-
-
 def test_get_llm_unsupported_backend(mock_ai_config):
     mock_ai_config.llm_backend = "unsupported"
 

src/paperless_ai/tests/test_embedding.py

@@ -15,7 +15,6 @@ from paperless_ai.embedding import get_embedding_model
 @pytest.fixture
 def mock_ai_config():
     with patch("paperless_ai.embedding.AIConfig") as MockAIConfig:
-        MockAIConfig.return_value.llm_allow_internal_endpoints = True
         yield MockAIConfig
 
 
@@ -78,19 +77,6 @@ def test_get_embedding_model_openai(mock_ai_config):
         assert model == MockOpenAIEmbedding.return_value
 
 
-def test_get_embedding_model_openai_blocks_internal_endpoint_when_disallowed(
-    mock_ai_config,
-):
-    mock_ai_config.return_value.llm_embedding_backend = LLMEmbeddingBackend.OPENAI
-    mock_ai_config.return_value.llm_embedding_model = "text-embedding-3-small"
-    mock_ai_config.return_value.llm_api_key = "test_api_key"
-    mock_ai_config.return_value.llm_endpoint = "http://127.0.0.1:11434"
-    mock_ai_config.return_value.llm_allow_internal_endpoints = False
-
-    with pytest.raises(ValueError, match="non-public address"):
-        get_embedding_model()
-
-
 def test_get_embedding_model_huggingface(mock_ai_config):
     mock_ai_config.return_value.llm_embedding_backend = LLMEmbeddingBackend.HUGGINGFACE
     mock_ai_config.return_value.llm_embedding_model = (

uv.lock

@@ -831,6 +831,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/2d/82/e5d2c1c67d19841e9edc74954c827444ae826978499bde3dfc1d007c8c11/deepmerge-2.0-py3-none-any.whl", hash = "sha256:6de9ce507115cff0bed95ff0ce9ecc31088ef50cbdf09bc90a09349a318b3d00", size = 13475, upload-time = "2024-08-30T05:31:48.659Z" },
 ]
 
+[[package]]
+name = "defusedxml"
+version = "0.7.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/0f/d5/c66da9b79e5bdb124974bfe172b4daf3c984ebd9c2a06e2b8a4dc7331c72/defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69", size = 75520, upload-time = "2021-03-08T10:59:26.269Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/07/6c/aa3f2f849e01cb6a001cd8554a88d4c77c5c1a31c95bdf1cf9301e6d9ef4/defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61", size = 25604, upload-time = "2021-03-08T10:59:24.45Z" },
+]
+
 [[package]]
 name = "deprecated"
 version = "1.3.1"
@@ -1172,14 +1181,14 @@ wheels = [
 
 [[package]]
 name = "drf-spectacular-sidecar"
-version = "2026.1.1"
+version = "2026.3.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "django", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/1e/81/c7b0e3ccbd5a039c4f4fcfecf88391a666ca1406a953886e2f39295b1c90/drf_spectacular_sidecar-2026.1.1.tar.gz", hash = "sha256:6f7c173a8ddbbbdafc7a27e028614b65f07a89ca90f996a432d57460463b56be", size = 2468060, upload-time = "2026-01-01T11:27:12.682Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/aa/42/2f8c1b2846399d47094ec414bc0d6a7cce7ba95fd6545a97285eee89f7f1/drf_spectacular_sidecar-2026.3.1.tar.gz", hash = "sha256:5b7fedad66e3851f2f442480792c08115d79217959d01645b93d3d2258938be1", size = 2461501, upload-time = "2026-03-01T11:31:19.708Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/db/96/38725edda526f3e9e597f531beeec94b0ef433d9494f06a13b7636eecb6e/drf_spectacular_sidecar-2026.1.1-py3-none-any.whl", hash = "sha256:af8df62f1b594ec280351336d837eaf2402ab25a6bc2a1fad7aee9935821070f", size = 2489520, upload-time = "2026-01-01T11:27:11.056Z" },
+    { url = "https://files.pythonhosted.org/packages/c1/28/2d5e64d101ebc5180674fcaf7b5a35e398e2f8d9688b2e8d52b0e1394e7d/drf_spectacular_sidecar-2026.3.1-py3-none-any.whl", hash = "sha256:864edb83e022e13e3941c325c3cc0c954c843fa2e1d0bc95e81887664b2d3dad", size = 2481725, upload-time = "2026-03-01T11:31:18.469Z" },
 ]
 
 [[package]]
@@ -1230,11 +1239,11 @@ wheels = [
 
 [[package]]
 name = "faker"
-version = "40.5.1"
+version = "40.8.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/03/2a/96fff3edcb10f6505143448a4b91535f77b74865cec45be52690ee280443/faker-40.5.1.tar.gz", hash = "sha256:70222361cd82aa10cb86066d1a4e8f47f2bcdc919615c412045a69c4e6da0cd3", size = 1952684, upload-time = "2026-02-23T21:34:38.362Z" }
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