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feature-re
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@@ -179,14 +179,10 @@ following:
|
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|
||||
### Database Upgrades
|
||||
|
||||
In general, Paperless-ngx supports current version of PostgreSQL and MariaDB and it is generally
|
||||
In general, paperless does not require a specific version of PostgreSQL or MariaDB and it is
|
||||
safe to update them to newer versions. However, you should always take a backup and follow
|
||||
the instructions from your database's documentation for how to upgrade between major versions.
|
||||
|
||||
!!! note
|
||||
|
||||
As of Paperless-ngx v2.18, the minimum supported version of PostgreSQL is 13.
|
||||
|
||||
For PostgreSQL, refer to [Upgrading a PostgreSQL Cluster](https://www.postgresql.org/docs/current/upgrading.html).
|
||||
|
||||
For MariaDB, refer to [Upgrading MariaDB](https://mariadb.com/kb/en/upgrading/)
|
||||
|
@@ -1776,3 +1776,23 @@ 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}
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||||
|
||||
: Defaults to false.
|
||||
|
||||
## Remote OCR
|
||||
|
||||
#### [`PAPERLESS_REMOTE_OCR_ENGINE=<str>`](#PAPERLESS_REMOTE_OCR_ENGINE) {#PAPERLESS_REMOTE_OCR_ENGINE}
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||||
|
||||
: 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}
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||||
|
||||
: 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}
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|
||||
: The endpoint to use for the remote OCR engine. This is required for Azure AI.
|
||||
|
||||
Defaults to None.
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||||
|
@@ -25,9 +25,10 @@ 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.
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- _Your_ data is stored locally on _your_ server and is never transmitted or shared in any way, unless you explicitly choose to do so.
|
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- Performs **OCR** on your documents, adding searchable and selectable text, even to documents scanned with only images.
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- Utilizes the open-source Tesseract engine to recognize more than 100 languages.
|
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- Utilizes the open-source Tesseract engine to recognize more than 100 languages.
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- _New!_ Supports remote OCR with Azure AI (opt-in).
|
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- Documents are saved as PDF/A format which is designed for long term storage, alongside the unaltered originals.
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- 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.
|
||||
|
@@ -844,6 +844,18 @@ how regularly you intend to scan documents and use paperless.
|
||||
performed the task associated with the document, move it to the
|
||||
inbox.
|
||||
|
||||
## Remote OCR
|
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|
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!!! important
|
||||
|
||||
This feature is disabled by default and will always remain strictly "opt-in".
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|
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Paperless-ngx supports performing OCR on documents using remote services. At the moment, this is limited to
|
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[Microsoft's Azure "Document Intelligence" service](https://azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence).
|
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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
|
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the local OCR engine. See the [configuration](configuration.md#PAPERLESS_REMOTE_OCR_ENGINE) options for more details.
|
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|
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## Architecture
|
||||
|
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Paperless-ngx consists of the following components:
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|
@@ -15,6 +15,7 @@ classifiers = [
|
||||
# This will allow testing to not install a webserver, mysql, etc
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||||
|
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dependencies = [
|
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"azure-ai-documentintelligence>=1.0.2",
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||||
"bleach~=6.2.0",
|
||||
"celery[redis]~=5.5.1",
|
||||
"channels~=4.2",
|
||||
@@ -23,22 +24,22 @@ dependencies = [
|
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"dateparser~=1.2",
|
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# WARNING: django does not use semver.
|
||||
# Only patch versions are guaranteed to not introduce breaking changes.
|
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"django~=5.2.5",
|
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"django~=5.1.7",
|
||||
"django-allauth[socialaccount,mfa]~=65.4.0",
|
||||
"django-auditlog~=3.2.1",
|
||||
"django-auditlog~=3.1.2",
|
||||
"django-cachalot~=2.8.0",
|
||||
"django-celery-results~=2.6.0",
|
||||
"django-compression-middleware~=0.5.0",
|
||||
"django-cors-headers~=4.7.0",
|
||||
"django-extensions~=4.1",
|
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"django-filter~=25.1",
|
||||
"django-guardian~=3.0.3",
|
||||
"django-multiselectfield~=1.0.1",
|
||||
"django-guardian~=2.4.0",
|
||||
"django-multiselectfield~=0.1.13",
|
||||
"django-soft-delete~=1.0.18",
|
||||
"djangorestframework~=3.15",
|
||||
"djangorestframework-guardian~=0.4.0",
|
||||
"djangorestframework-guardian~=0.3.0",
|
||||
"drf-spectacular~=0.28",
|
||||
"drf-spectacular-sidecar~=2025.8.1",
|
||||
"drf-spectacular-sidecar~=2025.4.1",
|
||||
"drf-writable-nested~=0.7.1",
|
||||
"filelock~=3.18.0",
|
||||
"flower~=2.0.1",
|
||||
@@ -103,7 +104,7 @@ testing = [
|
||||
"imagehash",
|
||||
"pytest~=8.4.1",
|
||||
"pytest-cov~=6.2.1",
|
||||
"pytest-django~=4.11.1",
|
||||
"pytest-django~=4.10.0",
|
||||
"pytest-env",
|
||||
"pytest-httpx",
|
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"pytest-mock",
|
||||
@@ -233,6 +234,7 @@ testpaths = [
|
||||
"src/paperless_tesseract/tests/",
|
||||
"src/paperless_tika/tests",
|
||||
"src/paperless_text/tests/",
|
||||
"src/paperless_remote/tests/",
|
||||
]
|
||||
addopts = [
|
||||
"--pythonwarnings=all",
|
||||
|
@@ -125,14 +125,14 @@ class Command(MultiProcessMixin, ProgressBarMixin, BaseCommand):
|
||||
messages.append(
|
||||
self.style.NOTICE(
|
||||
f"Document {result.doc_one_pk} fuzzy match"
|
||||
f" to {result.doc_two_pk} (confidence {result.ratio:.3f})\n",
|
||||
f" to {result.doc_two_pk} (confidence {result.ratio:.3f})",
|
||||
),
|
||||
)
|
||||
maybe_delete_ids.append(result.doc_two_pk)
|
||||
|
||||
if len(messages) == 0:
|
||||
messages.append(
|
||||
self.style.SUCCESS("No matches found\n"),
|
||||
self.style.SUCCESS("No matches found"),
|
||||
)
|
||||
self.stdout.writelines(
|
||||
messages,
|
||||
|
@@ -2038,24 +2038,6 @@ class WorkflowTriggerSerializer(serializers.ModelSerializer):
|
||||
|
||||
return attrs
|
||||
|
||||
@staticmethod
|
||||
def normalize_workflow_trigger_sources(trigger):
|
||||
"""
|
||||
Convert sources to strings to handle django-multiselectfield v1.0 changes
|
||||
"""
|
||||
if trigger and "sources" in trigger:
|
||||
trigger["sources"] = [
|
||||
str(s.value if hasattr(s, "value") else s) for s in trigger["sources"]
|
||||
]
|
||||
|
||||
def create(self, validated_data):
|
||||
WorkflowTriggerSerializer.normalize_workflow_trigger_sources(validated_data)
|
||||
return super().create(validated_data)
|
||||
|
||||
def update(self, instance, validated_data):
|
||||
WorkflowTriggerSerializer.normalize_workflow_trigger_sources(validated_data)
|
||||
return super().update(instance, validated_data)
|
||||
|
||||
|
||||
class WorkflowActionEmailSerializer(serializers.ModelSerializer):
|
||||
id = serializers.IntegerField(allow_null=True, required=False)
|
||||
@@ -2220,8 +2202,6 @@ class WorkflowSerializer(serializers.ModelSerializer):
|
||||
if triggers is not None and triggers is not serializers.empty:
|
||||
for trigger in triggers:
|
||||
filter_has_tags = trigger.pop("filter_has_tags", None)
|
||||
# Convert sources to strings to handle django-multiselectfield v1.0 changes
|
||||
WorkflowTriggerSerializer.normalize_workflow_trigger_sources(trigger)
|
||||
trigger_instance, _ = WorkflowTrigger.objects.update_or_create(
|
||||
id=trigger.get("id"),
|
||||
defaults=trigger,
|
||||
|
@@ -123,7 +123,7 @@ class TestExportImport(
|
||||
|
||||
self.trigger = WorkflowTrigger.objects.create(
|
||||
type=WorkflowTrigger.WorkflowTriggerType.CONSUMPTION,
|
||||
sources=[str(WorkflowTrigger.DocumentSourceChoices.CONSUME_FOLDER.value)],
|
||||
sources=[1],
|
||||
filter_filename="*",
|
||||
)
|
||||
self.action = WorkflowAction.objects.create(assign_title="new title")
|
||||
|
@@ -87,7 +87,7 @@ class TestFuzzyMatchCommand(TestCase):
|
||||
filename="other_test.pdf",
|
||||
)
|
||||
stdout, _ = self.call_command()
|
||||
self.assertIn("No matches found", stdout)
|
||||
self.assertEqual(stdout, "No matches found\n")
|
||||
|
||||
def test_with_matches(self):
|
||||
"""
|
||||
@@ -116,7 +116,7 @@ class TestFuzzyMatchCommand(TestCase):
|
||||
filename="other_test.pdf",
|
||||
)
|
||||
stdout, _ = self.call_command("--processes", "1")
|
||||
self.assertRegex(stdout, self.MSG_REGEX)
|
||||
self.assertRegex(stdout, self.MSG_REGEX + "\n")
|
||||
|
||||
def test_with_3_matches(self):
|
||||
"""
|
||||
@@ -152,10 +152,11 @@ class TestFuzzyMatchCommand(TestCase):
|
||||
filename="final_test.pdf",
|
||||
)
|
||||
stdout, _ = self.call_command()
|
||||
lines = [x.strip() for x in stdout.splitlines() if x.strip()]
|
||||
lines = [x.strip() for x in stdout.split("\n") if len(x.strip())]
|
||||
self.assertEqual(len(lines), 3)
|
||||
for line in lines:
|
||||
self.assertRegex(line, self.MSG_REGEX)
|
||||
self.assertRegex(lines[0], self.MSG_REGEX)
|
||||
self.assertRegex(lines[1], self.MSG_REGEX)
|
||||
self.assertRegex(lines[2], self.MSG_REGEX)
|
||||
|
||||
def test_document_deletion(self):
|
||||
"""
|
||||
@@ -196,12 +197,14 @@ class TestFuzzyMatchCommand(TestCase):
|
||||
|
||||
stdout, _ = self.call_command("--delete")
|
||||
|
||||
self.assertIn(
|
||||
lines = [x.strip() for x in stdout.split("\n") if len(x.strip())]
|
||||
self.assertEqual(len(lines), 3)
|
||||
self.assertEqual(
|
||||
lines[0],
|
||||
"The command is configured to delete documents. Use with caution",
|
||||
stdout,
|
||||
)
|
||||
self.assertRegex(stdout, self.MSG_REGEX)
|
||||
self.assertIn("Deleting 1 documents based on ratio matches", stdout)
|
||||
self.assertRegex(lines[1], self.MSG_REGEX)
|
||||
self.assertEqual(lines[2], "Deleting 1 documents based on ratio matches")
|
||||
|
||||
self.assertEqual(Document.objects.count(), 2)
|
||||
self.assertIsNotNone(Document.objects.get(pk=1))
|
||||
|
@@ -104,7 +104,7 @@ class TestReverseMigrateWorkflow(TestMigrations):
|
||||
|
||||
trigger = WorkflowTrigger.objects.create(
|
||||
type=0,
|
||||
sources=[str(DocumentSource.ConsumeFolder)],
|
||||
sources=[DocumentSource.ConsumeFolder],
|
||||
filter_path="*/path/*",
|
||||
filter_filename="*file*",
|
||||
)
|
||||
|
@@ -54,7 +54,7 @@ class HttpRemoteUserMiddleware(PersistentRemoteUserMiddleware):
|
||||
|
||||
header = settings.HTTP_REMOTE_USER_HEADER_NAME
|
||||
|
||||
def __call__(self, request: HttpRequest) -> None:
|
||||
def process_request(self, request: HttpRequest) -> None:
|
||||
# If remote user auth is enabled only for the frontend, not the API,
|
||||
# then we need dont want to authenticate the user for API requests.
|
||||
if (
|
||||
@@ -62,8 +62,8 @@ class HttpRemoteUserMiddleware(PersistentRemoteUserMiddleware):
|
||||
and "paperless.auth.PaperlessRemoteUserAuthentication"
|
||||
not in settings.REST_FRAMEWORK["DEFAULT_AUTHENTICATION_CLASSES"]
|
||||
):
|
||||
return self.get_response(request)
|
||||
return super().__call__(request)
|
||||
return
|
||||
return super().process_request(request)
|
||||
|
||||
|
||||
class PaperlessRemoteUserAuthentication(authentication.RemoteUserAuthentication):
|
||||
|
@@ -214,3 +214,31 @@ def audit_log_check(app_configs, **kwargs):
|
||||
)
|
||||
|
||||
return result
|
||||
|
||||
|
||||
@register()
|
||||
def check_postgres_version(app_configs, **kwargs):
|
||||
"""
|
||||
Django 5.2 removed PostgreSQL 13 support and thus it will be removed in
|
||||
a future Paperless-ngx version. This check can be removed eventually.
|
||||
See https://docs.djangoproject.com/en/5.2/releases/5.2/#dropped-support-for-postgresql-13
|
||||
"""
|
||||
db_conn = connections["default"]
|
||||
result = []
|
||||
if db_conn.vendor == "postgresql":
|
||||
try:
|
||||
with db_conn.cursor() as cursor:
|
||||
cursor.execute("SHOW server_version;")
|
||||
version = cursor.fetchone()[0]
|
||||
if version.startswith("13"):
|
||||
return [
|
||||
Warning(
|
||||
"PostgreSQL 13 is deprecated and will not be supported in a future Paperless-ngx release.",
|
||||
hint="Upgrade to PostgreSQL 14 or newer.",
|
||||
),
|
||||
]
|
||||
except Exception: # pragma: no cover
|
||||
# Don't block checks on version query failure
|
||||
pass
|
||||
|
||||
return result
|
||||
|
@@ -324,6 +324,7 @@ 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",
|
||||
@@ -1421,3 +1422,11 @@ OUTLOOK_OAUTH_ENABLED = bool(
|
||||
and OUTLOOK_OAUTH_CLIENT_ID
|
||||
and OUTLOOK_OAUTH_CLIENT_SECRET,
|
||||
)
|
||||
|
||||
###############################################################################
|
||||
# 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")
|
||||
|
@@ -9,6 +9,7 @@ from documents.tests.utils import DirectoriesMixin
|
||||
from documents.tests.utils import FileSystemAssertsMixin
|
||||
from paperless.checks import audit_log_check
|
||||
from paperless.checks import binaries_check
|
||||
from paperless.checks import check_postgres_version
|
||||
from paperless.checks import debug_mode_check
|
||||
from paperless.checks import paths_check
|
||||
from paperless.checks import settings_values_check
|
||||
@@ -262,3 +263,39 @@ class TestAuditLogChecks(TestCase):
|
||||
("auditlog table was found but audit log is disabled."),
|
||||
msg.msg,
|
||||
)
|
||||
|
||||
|
||||
class TestPostgresVersionCheck(TestCase):
|
||||
@mock.patch("paperless.checks.connections")
|
||||
def test_postgres_13_warns(self, mock_connections):
|
||||
mock_connection = mock.MagicMock()
|
||||
mock_connection.vendor = "postgresql"
|
||||
mock_cursor = mock.MagicMock()
|
||||
mock_cursor.__enter__.return_value.fetchone.return_value = ["13.11"]
|
||||
mock_connection.cursor.return_value = mock_cursor
|
||||
mock_connections.__getitem__.return_value = mock_connection
|
||||
|
||||
warnings = check_postgres_version(None)
|
||||
self.assertEqual(len(warnings), 1)
|
||||
self.assertIn("PostgreSQL 13 is deprecated", warnings[0].msg)
|
||||
|
||||
@mock.patch("paperless.checks.connections")
|
||||
def test_postgres_14_passes(self, mock_connections):
|
||||
mock_connection = mock.MagicMock()
|
||||
mock_connection.vendor = "postgresql"
|
||||
mock_cursor = mock.MagicMock()
|
||||
mock_cursor.__enter__.return_value.fetchone.return_value = ["14.10"]
|
||||
mock_connection.cursor.return_value = mock_cursor
|
||||
mock_connections.__getitem__.return_value = mock_connection
|
||||
|
||||
warnings = check_postgres_version(None)
|
||||
self.assertEqual(warnings, [])
|
||||
|
||||
@mock.patch("paperless.checks.connections")
|
||||
def test_non_postgres_skipped(self, mock_connections):
|
||||
mock_connection = mock.MagicMock()
|
||||
mock_connection.vendor = "sqlite"
|
||||
mock_connections.__getitem__.return_value = mock_connection
|
||||
|
||||
warnings = check_postgres_version(None)
|
||||
self.assertEqual(warnings, [])
|
||||
|
@@ -1,7 +1,6 @@
|
||||
import os
|
||||
from unittest import mock
|
||||
|
||||
from django.conf import settings
|
||||
from django.contrib.auth.models import User
|
||||
from django.test import override_settings
|
||||
from rest_framework import status
|
||||
@@ -92,7 +91,6 @@ class TestRemoteUser(DirectoriesMixin, APITestCase):
|
||||
|
||||
@override_settings(
|
||||
REST_FRAMEWORK={
|
||||
**settings.REST_FRAMEWORK,
|
||||
"DEFAULT_AUTHENTICATION_CLASSES": [
|
||||
"rest_framework.authentication.BasicAuthentication",
|
||||
"rest_framework.authentication.TokenAuthentication",
|
||||
|
4
src/paperless_remote/__init__.py
Normal file
4
src/paperless_remote/__init__.py
Normal file
@@ -0,0 +1,4 @@
|
||||
# this is here so that django finds the checks.
|
||||
from paperless_remote.checks import check_remote_parser_configured
|
||||
|
||||
__all__ = ["check_remote_parser_configured"]
|
14
src/paperless_remote/apps.py
Normal file
14
src/paperless_remote/apps.py
Normal file
@@ -0,0 +1,14 @@
|
||||
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)
|
15
src/paperless_remote/checks.py
Normal file
15
src/paperless_remote/checks.py
Normal file
@@ -0,0 +1,15 @@
|
||||
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:
|
||||
return [
|
||||
Error(
|
||||
"Azure AI remote parser requires endpoint to be configured.",
|
||||
),
|
||||
]
|
||||
|
||||
return []
|
113
src/paperless_remote/parsers.py
Normal file
113
src/paperless_remote/parsers.py
Normal file
@@ -0,0 +1,113 @@
|
||||
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",
|
||||
"image/png",
|
||||
"image/jpeg",
|
||||
"image/tiff",
|
||||
"image/bmp",
|
||||
"image/gif",
|
||||
"image/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 = 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)
|
||||
|
||||
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 = ""
|
||||
return
|
||||
elif self.settings.engine == "azureai":
|
||||
self.text = self.azure_ai_vision_parse(document_path)
|
18
src/paperless_remote/signals.py
Normal file
18
src/paperless_remote/signals.py
Normal file
@@ -0,0 +1,18 @@
|
||||
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(),
|
||||
}
|
0
src/paperless_remote/tests/__init__.py
Normal file
0
src/paperless_remote/tests/__init__.py
Normal file
BIN
src/paperless_remote/tests/samples/simple-digital.pdf
Normal file
BIN
src/paperless_remote/tests/samples/simple-digital.pdf
Normal file
Binary file not shown.
29
src/paperless_remote/tests/test_checks.py
Normal file
29
src/paperless_remote/tests/test_checks.py
Normal file
@@ -0,0 +1,29 @@
|
||||
from django.test 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 to be configured.",
|
||||
),
|
||||
)
|
||||
|
||||
@override_settings(REMOTE_OCR_ENGINE="something")
|
||||
@override_settings(REMOTE_OCR_API_KEY="somekey")
|
||||
def test_valid_configuration(self):
|
||||
msgs = check_remote_parser_configured(None)
|
||||
self.assertEqual(len(msgs), 0)
|
101
src/paperless_remote/tests/test_parser.py
Normal file
101
src/paperless_remote/tests/test_parser.py
Normal file
@@ -0,0 +1,101 @@
|
||||
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, strings):
|
||||
# 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",
|
||||
"image/png",
|
||||
"image/jpeg",
|
||||
"image/tiff",
|
||||
"image/bmp",
|
||||
"image/gif",
|
||||
"image/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, "")
|
109
uv.lock
generated
109
uv.lock
generated
@@ -93,6 +93,34 @@ 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"
|
||||
@@ -626,15 +654,15 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "django"
|
||||
version = "5.2.5"
|
||||
version = "5.1.8"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "asgiref", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
|
||||
{ name = "sqlparse", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/62/9b/779f853c3d2d58b9e08346061ff3e331cdec3fe3f53aae509e256412a593/django-5.2.5.tar.gz", hash = "sha256:0745b25681b129a77aae3d4f6549b62d3913d74407831abaa0d9021a03954bae", size = 10859748, upload-time = "2025-08-06T08:26:29.978Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/00/40/45adc1b93435d1b418654a734b68351bb6ce0a0e5e37b2f0e9aeb1a2e233/Django-5.1.8.tar.gz", hash = "sha256:42e92a1dd2810072bcc40a39a212b693f94406d0ba0749e68eb642f31dc770b4", size = 10723602, upload-time = "2025-04-02T11:19:56.028Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/9d/6e/98a1d23648e0085bb5825326af17612ecd8fc76be0ce96ea4dc35e17b926/django-5.2.5-py3-none-any.whl", hash = "sha256:2b2ada0ee8a5ff743a40e2b9820d1f8e24c11bac9ae6469cd548f0057ea6ddcd", size = 8302999, upload-time = "2025-08-06T08:26:23.562Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ec/0d/e6dd0ed898b920fec35c6eeeb9acbeb831fff19ad21c5e684744df1d4a36/Django-5.1.8-py3-none-any.whl", hash = "sha256:11b28fa4b00e59d0def004e9ee012fefbb1065a5beb39ee838983fd24493ad4f", size = 8277130, upload-time = "2025-04-02T11:19:51.591Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -660,15 +688,15 @@ socialaccount = [
|
||||
|
||||
[[package]]
|
||||
name = "django-auditlog"
|
||||
version = "3.2.1"
|
||||
version = "3.1.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "django", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
|
||||
{ name = "python-dateutil", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e1/46/9da1d94493832fa18d2f6324a76d387fa232001593866987a96047709f4e/django_auditlog-3.2.1.tar.gz", hash = "sha256:63a4c9f7793e94eed804bc31a04d9b0b58244b1d280e2ed273c8b406bff1f779", size = 72926, upload-time = "2025-07-03T20:08:17.734Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/0e/3a/61bfb180019d08db3f7a2e4097bda14ee32bd57f5dffda0c84b2d4c26304/django_auditlog-3.1.2.tar.gz", hash = "sha256:435345b4055d16abfb4ada4bf11320f9e2f6d343874464471fa0041f13f3a474", size = 69359, upload-time = "2025-04-26T11:01:56.553Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/a7/06/67296d050a72dcd76f57f220df621cb27e5b9282ba7ad0f5f74870dce241/django_auditlog-3.2.1-py3-none-any.whl", hash = "sha256:99603ca9d015f7e9b062b1c34f3e0826a3ce6ae6e5950c81bb7e663f7802a899", size = 38330, upload-time = "2025-07-03T20:07:51.735Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/af/34/47edd758abcb4426953b5ff2fa4dd9956c2304e96160ab1b95c3a1ab6e61/django_auditlog-3.1.2-py3-none-any.whl", hash = "sha256:6432a83fdf4397a726488d101fedcb62daafd6d4b825a0fc4c50e3657f5883cd", size = 37312, upload-time = "2025-04-26T11:01:16.776Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -764,38 +792,38 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "django-guardian"
|
||||
version = "3.0.3"
|
||||
version = "2.4.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "django", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
|
||||
]
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||||
|
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[[package]]
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Reference in New Issue
Block a user