mirror of
https://github.com/paperless-ngx/paperless-ngx.git
synced 2025-04-02 13:45:10 -05:00
438 lines
14 KiB
Python
438 lines
14 KiB
Python
import logging
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import math
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import os
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from collections import Counter
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from contextlib import contextmanager
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from datetime import datetime
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from datetime import timezone
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from shutil import rmtree
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from django.conf import settings
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from django.db.models import QuerySet
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from django.utils import timezone as django_timezone
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from guardian.shortcuts import get_users_with_perms
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from whoosh import classify
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from whoosh import highlight
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from whoosh import query
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from whoosh.fields import BOOLEAN
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from whoosh.fields import DATETIME
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from whoosh.fields import KEYWORD
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from whoosh.fields import NUMERIC
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from whoosh.fields import TEXT
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from whoosh.fields import Schema
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from whoosh.highlight import HtmlFormatter
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from whoosh.idsets import BitSet
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from whoosh.idsets import DocIdSet
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from whoosh.index import FileIndex
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from whoosh.index import create_in
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from whoosh.index import exists_in
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from whoosh.index import open_dir
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from whoosh.qparser import MultifieldParser
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from whoosh.qparser import QueryParser
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from whoosh.qparser.dateparse import DateParserPlugin
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from whoosh.qparser.dateparse import English
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from whoosh.qparser.plugins import FieldsPlugin
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from whoosh.reading import IndexReader
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from whoosh.scoring import TF_IDF
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from whoosh.searching import ResultsPage
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from whoosh.searching import Searcher
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from whoosh.util.times import timespan
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from whoosh.writing import AsyncWriter
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from documents.models import CustomFieldInstance
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from documents.models import Document
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from documents.models import Note
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from documents.models import User
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logger = logging.getLogger("paperless.index")
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def get_schema():
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return Schema(
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id=NUMERIC(stored=True, unique=True),
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title=TEXT(sortable=True),
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content=TEXT(),
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asn=NUMERIC(sortable=True, signed=False),
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correspondent=TEXT(sortable=True),
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correspondent_id=NUMERIC(),
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has_correspondent=BOOLEAN(),
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tag=KEYWORD(commas=True, scorable=True, lowercase=True),
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tag_id=KEYWORD(commas=True, scorable=True),
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has_tag=BOOLEAN(),
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type=TEXT(sortable=True),
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type_id=NUMERIC(),
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has_type=BOOLEAN(),
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created=DATETIME(sortable=True),
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modified=DATETIME(sortable=True),
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added=DATETIME(sortable=True),
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path=TEXT(sortable=True),
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path_id=NUMERIC(),
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has_path=BOOLEAN(),
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notes=TEXT(),
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num_notes=NUMERIC(sortable=True, signed=False),
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custom_fields=TEXT(),
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custom_field_count=NUMERIC(sortable=True, signed=False),
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has_custom_fields=BOOLEAN(),
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custom_fields_id=KEYWORD(commas=True),
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owner=TEXT(),
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owner_id=NUMERIC(),
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has_owner=BOOLEAN(),
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viewer_id=KEYWORD(commas=True),
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checksum=TEXT(),
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page_count=NUMERIC(sortable=True),
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original_filename=TEXT(sortable=True),
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is_shared=BOOLEAN(),
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)
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def open_index(recreate=False) -> FileIndex:
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try:
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if exists_in(settings.INDEX_DIR) and not recreate:
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return open_dir(settings.INDEX_DIR, schema=get_schema())
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except Exception:
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logger.exception("Error while opening the index, recreating.")
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# create_in doesn't handle corrupted indexes very well, remove the directory entirely first
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if os.path.isdir(settings.INDEX_DIR):
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rmtree(settings.INDEX_DIR)
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settings.INDEX_DIR.mkdir(parents=True, exist_ok=True)
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return create_in(settings.INDEX_DIR, get_schema())
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@contextmanager
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def open_index_writer(optimize=False) -> AsyncWriter:
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writer = AsyncWriter(open_index())
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try:
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yield writer
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except Exception as e:
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logger.exception(str(e))
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writer.cancel()
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finally:
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writer.commit(optimize=optimize)
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@contextmanager
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def open_index_searcher() -> Searcher:
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searcher = open_index().searcher()
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try:
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yield searcher
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finally:
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searcher.close()
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def update_document(writer: AsyncWriter, doc: Document):
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tags = ",".join([t.name for t in doc.tags.all()])
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tags_ids = ",".join([str(t.id) for t in doc.tags.all()])
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notes = ",".join([str(c.note) for c in Note.objects.filter(document=doc)])
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custom_fields = ",".join(
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[str(c) for c in CustomFieldInstance.objects.filter(document=doc)],
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)
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custom_fields_ids = ",".join(
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[str(f.field.id) for f in CustomFieldInstance.objects.filter(document=doc)],
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)
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asn = doc.archive_serial_number
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if asn is not None and (
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asn < Document.ARCHIVE_SERIAL_NUMBER_MIN
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or asn > Document.ARCHIVE_SERIAL_NUMBER_MAX
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):
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logger.error(
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f"Not indexing Archive Serial Number {asn} of document {doc.pk}. "
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f"ASN is out of range "
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f"[{Document.ARCHIVE_SERIAL_NUMBER_MIN:,}, "
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f"{Document.ARCHIVE_SERIAL_NUMBER_MAX:,}.",
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)
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asn = 0
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users_with_perms = get_users_with_perms(
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doc,
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only_with_perms_in=["view_document"],
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)
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viewer_ids = ",".join([str(u.id) for u in users_with_perms])
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writer.update_document(
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id=doc.pk,
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title=doc.title,
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content=doc.content,
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correspondent=doc.correspondent.name if doc.correspondent else None,
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correspondent_id=doc.correspondent.id if doc.correspondent else None,
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has_correspondent=doc.correspondent is not None,
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tag=tags if tags else None,
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tag_id=tags_ids if tags_ids else None,
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has_tag=len(tags) > 0,
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type=doc.document_type.name if doc.document_type else None,
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type_id=doc.document_type.id if doc.document_type else None,
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has_type=doc.document_type is not None,
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created=doc.created,
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added=doc.added,
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asn=asn,
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modified=doc.modified,
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path=doc.storage_path.name if doc.storage_path else None,
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path_id=doc.storage_path.id if doc.storage_path else None,
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has_path=doc.storage_path is not None,
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notes=notes,
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num_notes=len(notes),
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custom_fields=custom_fields,
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custom_field_count=len(doc.custom_fields.all()),
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has_custom_fields=len(custom_fields) > 0,
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custom_fields_id=custom_fields_ids if custom_fields_ids else None,
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owner=doc.owner.username if doc.owner else None,
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owner_id=doc.owner.id if doc.owner else None,
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has_owner=doc.owner is not None,
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viewer_id=viewer_ids if viewer_ids else None,
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checksum=doc.checksum,
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page_count=doc.page_count,
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original_filename=doc.original_filename,
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is_shared=len(viewer_ids) > 0,
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)
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def remove_document(writer: AsyncWriter, doc: Document):
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remove_document_by_id(writer, doc.pk)
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def remove_document_by_id(writer: AsyncWriter, doc_id):
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writer.delete_by_term("id", doc_id)
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def add_or_update_document(document: Document):
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with open_index_writer() as writer:
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update_document(writer, document)
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def remove_document_from_index(document: Document):
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with open_index_writer() as writer:
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remove_document(writer, document)
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class MappedDocIdSet(DocIdSet):
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"""
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A DocIdSet backed by a set of `Document` IDs.
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Supports efficiently looking up if a whoosh docnum is in the provided `filter_queryset`.
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"""
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def __init__(self, filter_queryset: QuerySet, ixreader: IndexReader) -> None:
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super().__init__()
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document_ids = filter_queryset.order_by("id").values_list("id", flat=True)
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max_id = document_ids.last() or 0
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self.document_ids = BitSet(document_ids, size=max_id)
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self.ixreader = ixreader
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def __contains__(self, docnum):
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document_id = self.ixreader.stored_fields(docnum)["id"]
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return document_id in self.document_ids
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def __bool__(self):
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# searcher.search ignores a filter if it's "falsy".
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# We use this hack so this DocIdSet, when used as a filter, is never ignored.
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return True
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class DelayedQuery:
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def _get_query(self):
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raise NotImplementedError # pragma: no cover
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def _get_query_sortedby(self):
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if "ordering" not in self.query_params:
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return None, False
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field: str = self.query_params["ordering"]
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sort_fields_map = {
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"created": "created",
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"modified": "modified",
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"added": "added",
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"title": "title",
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"correspondent__name": "correspondent",
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"document_type__name": "type",
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"archive_serial_number": "asn",
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"num_notes": "num_notes",
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"owner": "owner",
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"page_count": "page_count",
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}
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if field.startswith("-"):
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field = field[1:]
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reverse = True
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else:
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reverse = False
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if field not in sort_fields_map:
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return None, False
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else:
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return sort_fields_map[field], reverse
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def __init__(
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self,
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searcher: Searcher,
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query_params,
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page_size,
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filter_queryset: QuerySet,
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):
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self.searcher = searcher
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self.query_params = query_params
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self.page_size = page_size
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self.saved_results = dict()
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self.first_score = None
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self.filter_queryset = filter_queryset
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def __len__(self):
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page = self[0:1]
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return len(page)
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def __getitem__(self, item):
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if item.start in self.saved_results:
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return self.saved_results[item.start]
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q, mask = self._get_query()
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sortedby, reverse = self._get_query_sortedby()
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page: ResultsPage = self.searcher.search_page(
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q,
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mask=mask,
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filter=MappedDocIdSet(self.filter_queryset, self.searcher.ixreader),
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pagenum=math.floor(item.start / self.page_size) + 1,
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pagelen=self.page_size,
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sortedby=sortedby,
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reverse=reverse,
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)
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page.results.fragmenter = highlight.ContextFragmenter(surround=50)
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page.results.formatter = HtmlFormatter(tagname="span", between=" ... ")
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if not self.first_score and len(page.results) > 0 and sortedby is None:
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self.first_score = page.results[0].score
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page.results.top_n = list(
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map(
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lambda hit: (
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(hit[0] / self.first_score) if self.first_score else None,
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hit[1],
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),
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page.results.top_n,
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),
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)
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self.saved_results[item.start] = page
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return page
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class LocalDateParser(English):
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def reverse_timezone_offset(self, d):
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return (d.replace(tzinfo=django_timezone.get_current_timezone())).astimezone(
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timezone.utc,
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)
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def date_from(self, *args, **kwargs):
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d = super().date_from(*args, **kwargs)
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if isinstance(d, timespan):
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d.start = self.reverse_timezone_offset(d.start)
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d.end = self.reverse_timezone_offset(d.end)
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elif isinstance(d, datetime):
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d = self.reverse_timezone_offset(d)
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return d
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class DelayedFullTextQuery(DelayedQuery):
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def _get_query(self):
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q_str = self.query_params["query"]
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qp = MultifieldParser(
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[
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"content",
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"title",
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"correspondent",
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"tag",
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"type",
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"notes",
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"custom_fields",
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],
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self.searcher.ixreader.schema,
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)
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qp.add_plugin(
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DateParserPlugin(
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basedate=django_timezone.now(),
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dateparser=LocalDateParser(),
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),
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)
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q = qp.parse(q_str)
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corrected = self.searcher.correct_query(q, q_str)
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if corrected.query != q:
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corrected.query = corrected.string
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return q, None
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class DelayedMoreLikeThisQuery(DelayedQuery):
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def _get_query(self):
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more_like_doc_id = int(self.query_params["more_like_id"])
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content = Document.objects.get(id=more_like_doc_id).content
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docnum = self.searcher.document_number(id=more_like_doc_id)
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kts = self.searcher.key_terms_from_text(
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"content",
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content,
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numterms=20,
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model=classify.Bo1Model,
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normalize=False,
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)
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q = query.Or(
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[query.Term("content", word, boost=weight) for word, weight in kts],
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)
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mask = {docnum}
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return q, mask
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def autocomplete(
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ix: FileIndex,
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term: str,
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limit: int = 10,
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user: User | None = None,
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):
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"""
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Mimics whoosh.reading.IndexReader.most_distinctive_terms with permissions
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and without scoring
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"""
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terms = []
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with ix.searcher(weighting=TF_IDF()) as s:
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qp = QueryParser("content", schema=ix.schema)
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# Don't let searches with a query that happen to match a field override the
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# content field query instead and return bogus, not text data
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qp.remove_plugin_class(FieldsPlugin)
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q = qp.parse(f"{term.lower()}*")
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user_criterias = get_permissions_criterias(user)
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results = s.search(
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q,
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terms=True,
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filter=query.Or(user_criterias) if user_criterias is not None else None,
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)
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termCounts = Counter()
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if results.has_matched_terms():
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for hit in results:
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for _, match in hit.matched_terms():
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termCounts[match] += 1
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terms = [t for t, _ in termCounts.most_common(limit)]
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term_encoded = term.encode("UTF-8")
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if term_encoded in terms:
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terms.insert(0, terms.pop(terms.index(term_encoded)))
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return terms
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def get_permissions_criterias(user: User | None = None):
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user_criterias = [query.Term("has_owner", False)]
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if user is not None:
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if user.is_superuser: # superusers see all docs
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user_criterias = []
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else:
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user_criterias.append(query.Term("owner_id", user.id))
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user_criterias.append(
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query.Term("viewer_id", str(user.id)),
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)
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return user_criterias
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