"T20", # https://docs.astral.sh/ruff/rules/#flake8-print-t20
"SIM", # https://docs.astral.sh/ruff/rules/#flake8-simplify-sim
"TID", # https://docs.astral.sh/ruff/rules/#flake8-tidy-imports-tid
- "TCH", # https://docs.astral.sh/ruff/rules/#flake8-type-checking-tch
+ "TC", # https://docs.astral.sh/ruff/rules/#flake8-type-checking-tc
"PLC", # https://docs.astral.sh/ruff/rules/#pylint-pl
"PLE", # https://docs.astral.sh/ruff/rules/#pylint-pl
"RUF", # https://docs.astral.sh/ruff/rules/#ruff-specific-rules-ruf
+from __future__ import annotations
+
import logging
import re
import tempfile
from pikepdf import Page
from pikepdf import PasswordError
from pikepdf import Pdf
-from PIL import Image
from documents.converters import convert_from_tiff_to_pdf
from documents.data_models import ConsumableDocument
if TYPE_CHECKING:
from collections.abc import Callable
+ from PIL import Image
+
logger = logging.getLogger("paperless.barcodes")
+from __future__ import annotations
+
from pathlib import Path
from typing import TYPE_CHECKING
from typing import NoReturn
-from zipfile import ZipFile
-
-from documents.models import Document
if TYPE_CHECKING:
from collections.abc import Callable
+ from zipfile import ZipFile
+
+ from documents.models import Document
class BulkArchiveStrategy:
+from __future__ import annotations
+
import hashlib
import itertools
import logging
import tempfile
from pathlib import Path
+from typing import TYPE_CHECKING
from typing import Literal
from celery import chain
from celery import group
from celery import shared_task
from django.conf import settings
-from django.contrib.auth.models import User
from django.db.models import Q
from django.utils import timezone
from documents.tasks import consume_file
from documents.tasks import update_document_content_maybe_archive_file
+if TYPE_CHECKING:
+ from django.contrib.auth.models import User
+
logger: logging.Logger = logging.getLogger("paperless.bulk_edit")
+from __future__ import annotations
+
import logging
from binascii import hexlify
from dataclasses import dataclass
from typing import TYPE_CHECKING
from typing import Final
-from typing import Optional
from django.core.cache import cache
def set_suggestions_cache(
document_id: int,
suggestions: dict,
- classifier: Optional["DocumentClassifier"],
+ classifier: DocumentClassifier | None,
*,
timeout=CACHE_50_MINUTES,
) -> None:
+from __future__ import annotations
+
import logging
import pickle
import re
import time
import warnings
-from collections.abc import Iterator
from hashlib import sha256
from pathlib import Path
from typing import TYPE_CHECKING
-from typing import Optional
if TYPE_CHECKING:
+ from collections.abc import Iterator
from datetime import datetime
from numpy import ndarray
from django.conf import settings
from django.core.cache import cache
-from sklearn.exceptions import InconsistentVersionWarning
from documents.caching import CACHE_50_MINUTES
from documents.caching import CLASSIFIER_HASH_KEY
pass
-def load_classifier(*, raise_exception: bool = False) -> Optional["DocumentClassifier"]:
+def load_classifier(*, raise_exception: bool = False) -> DocumentClassifier | None:
if not settings.MODEL_FILE.is_file():
logger.debug(
"Document classification model does not exist (yet), not "
self._stop_words = None
def load(self) -> None:
+ from sklearn.exceptions import InconsistentVersionWarning
+
# Catch warnings for processing
with warnings.catch_warnings(record=True) as w:
with Path(settings.MODEL_FILE).open("rb") as f:
+from __future__ import annotations
+
import functools
import inspect
import json
import operator
-from collections.abc import Callable
from contextlib import contextmanager
+from typing import TYPE_CHECKING
from django.contrib.contenttypes.models import ContentType
from django.db.models import Case
from documents.models import StoragePath
from documents.models import Tag
+if TYPE_CHECKING:
+ from collections.abc import Callable
+
CHAR_KWARGS = ["istartswith", "iendswith", "icontains", "iexact"]
ID_KWARGS = ["in", "exact"]
INT_KWARGS = ["exact", "gt", "gte", "lt", "lte", "isnull"]
+from __future__ import annotations
+
import logging
import math
from collections import Counter
from datetime import datetime
from datetime import timezone
from shutil import rmtree
+from typing import TYPE_CHECKING
from typing import Literal
from django.conf import settings
-from django.db.models import QuerySet
from django.utils import timezone as django_timezone
from guardian.shortcuts import get_users_with_perms
from whoosh import classify
from whoosh.qparser.dateparse import DateParserPlugin
from whoosh.qparser.dateparse import English
from whoosh.qparser.plugins import FieldsPlugin
-from whoosh.reading import IndexReader
from whoosh.scoring import TF_IDF
-from whoosh.searching import ResultsPage
-from whoosh.searching import Searcher
from whoosh.util.times import timespan
from whoosh.writing import AsyncWriter
from documents.models import Note
from documents.models import User
+if TYPE_CHECKING:
+ from django.db.models import QuerySet
+ from whoosh.reading import IndexReader
+ from whoosh.searching import ResultsPage
+ from whoosh.searching import Searcher
+
logger = logging.getLogger("paperless.index")
+from __future__ import annotations
+
import logging
import re
from fnmatch import fnmatch
+from typing import TYPE_CHECKING
-from documents.classifier import DocumentClassifier
from documents.data_models import ConsumableDocument
from documents.data_models import DocumentSource
from documents.models import Correspondent
from documents.models import WorkflowTrigger
from documents.permissions import get_objects_for_user_owner_aware
+if TYPE_CHECKING:
+ from documents.classifier import DocumentClassifier
+
logger = logging.getLogger("paperless.matching")
-import datetime
+from __future__ import annotations
+
import logging
import mimetypes
import os
import shutil
import subprocess
import tempfile
-from collections.abc import Iterator
from functools import lru_cache
from pathlib import Path
from re import Match
+from typing import TYPE_CHECKING
from django.conf import settings
from django.utils import timezone
from documents.utils import copy_file_with_basic_stats
from documents.utils import run_subprocess
+if TYPE_CHECKING:
+ import datetime
+ from collections.abc import Iterator
+
# This regular expression will try to find dates in the document at
# hand and will match the following formats:
# - XX.YY.ZZZZ with XX + YY being 1 or 2 and ZZZZ being 2 or 4 digits
return extensions
-def get_parser_class_for_mime_type(mime_type: str) -> type["DocumentParser"] | None:
+def get_parser_class_for_mime_type(mime_type: str) -> type[DocumentParser] | None:
"""
Returns the best parser (by weight) for the given mimetype or
None if no parser exists
+from __future__ import annotations
+
import datetime
import logging
import math
import re
import zoneinfo
-from collections.abc import Iterable
from decimal import Decimal
+from typing import TYPE_CHECKING
import magic
from celery import states
if settings.AUDIT_LOG_ENABLED:
from auditlog.context import set_actor
+
from documents import bulk_edit
from documents.data_models import DocumentSource
from documents.models import Correspondent
from documents.validators import uri_validator
from documents.validators import url_validator
+if TYPE_CHECKING:
+ from collections.abc import Iterable
+
logger = logging.getLogger("paperless.serializers")
+from __future__ import annotations
+
import logging
import os
import shutil
-from pathlib import Path
+from typing import TYPE_CHECKING
import httpx
from celery import shared_task
from documents import matching
from documents.caching import clear_document_caches
-from documents.classifier import DocumentClassifier
-from documents.data_models import ConsumableDocument
-from documents.data_models import DocumentMetadataOverrides
from documents.file_handling import create_source_path_directory
from documents.file_handling import delete_empty_directories
from documents.file_handling import generate_unique_filename
from documents.permissions import set_permissions_for_object
from documents.templating.workflows import parse_w_workflow_placeholders
+if TYPE_CHECKING:
+ from pathlib import Path
+
+ from documents.classifier import DocumentClassifier
+ from documents.data_models import ConsumableDocument
+ from documents.data_models import DocumentMetadataOverrides
+
logger = logging.getLogger("paperless.handlers")