mirror of
https://github.com/paperless-ngx/paperless-ngx.git
synced 2026-08-29 14:07:33 +00:00
Compare commits
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a72b3b4bc6 |
@@ -0,0 +1,51 @@
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#!/command/with-contenv /usr/bin/bash
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# shellcheck shell=bash
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declare -r log_prefix="[init-compile-bytecode]"
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# PYTHONDONTWRITEBYTECODE=1 is set for the whole container. This unit compiles a
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# scoped set of libraries anyway, to speed up startup without bloating image size.
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# Handle the people using a read only file system
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if [[ "${S6_READ_ONLY_ROOT}" == "1" ]]; then
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echo "${log_prefix} S6_READ_ONLY_ROOT=1, skipping (nothing to write bytecode to)"
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exit 0
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fi
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declare -r site_packages="$(python3 -c 'import site; print(site.getsitepackages()[0])')"
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# Deliberately scoped to packages that paperless.settings/paperless/__init__.py import
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# unconditionally on every manage.py invocation (Django itself, the always-loaded
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# INSTALLED_APPS, and celery). This is NOT "compile everything" - the optional AI stack
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# (torch, llama-index, sentence-transformers, ...) is intentionally excluded since it is
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# lazy-imported and large.
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declare -a scope=(
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"${PAPERLESS_SRC_DIR}"
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"${site_packages}/django"
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"${site_packages}/celery"
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"${site_packages}/kombu"
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"${site_packages}/rest_framework"
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"${site_packages}/django_filters"
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"${site_packages}/whitenoise"
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"${site_packages}/corsheaders"
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"${site_packages}/django_extensions"
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"${site_packages}/guardian"
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"${site_packages}/allauth"
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"${site_packages}/drf_spectacular"
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"${site_packages}/drf_spectacular_sidecar"
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"${site_packages}/treenode"
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"${site_packages}/compression_middleware"
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)
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declare -a existing_scope=()
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for path in "${scope[@]}"; do
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[[ -d "${path}" ]] && existing_scope+=("${path}")
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done
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echo "${log_prefix} Compiling bytecode for: ${existing_scope[*]}"
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declare -r start_seconds=${SECONDS}
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if ! PYTHONDONTWRITEBYTECODE= python3 -m compileall -q "${existing_scope[@]}"; then
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echo "${log_prefix} WARNING: compileall reported errors (read-only filesystem or unwritable site-packages?); continuing without a bytecode cache"
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fi
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echo "${log_prefix} Done in $((SECONDS - start_seconds))s"
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@@ -0,0 +1 @@
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oneshot
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@@ -0,0 +1 @@
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/etc/s6-overlay/s6-rc.d/init-compile-bytecode/run
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@@ -129,7 +129,7 @@ class DocumentMetadataOverrides:
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)
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overrides.custom_fields = {
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custom_field.field.id: custom_field.value
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for custom_field in doc.custom_fields.select_related("field").all()
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for custom_field in doc.custom_fields.all()
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}
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groups_with_perms = get_groups_with_perms(
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@@ -3,7 +3,6 @@ from __future__ import annotations
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import logging
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import math
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import re
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from collections.abc import Iterable
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from datetime import datetime
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from datetime import timedelta
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from decimal import Decimal
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@@ -877,106 +876,8 @@ def validate_documentlink_targets(user, doc_ids):
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)
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# drf-writable-nested revalidates a document's custom_fields more than once
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# per request: once as the ordinary nested list, then again per-item while
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# matching existing vs. new CustomFieldInstance rows during save() -- and
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# that second pass builds a brand new serializer (and field) instance per
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# item (see its update_or_create_reverse_relations / _get_serializer_for_field),
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# so a cache on the field instance alone only helps the first pass. It does,
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# however, explicitly pass `context=self.context` to every one of those
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# fresh serializers -- the *same* dict object the outer DocumentSerializer
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# is using, not a copy. That context dict is already request-scoped (DRF
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# builds it fresh per request via get_serializer_context()), so stashing the
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# resolved CustomField objects there -- rather than in some new global/
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# thread-local cache -- lets every later pass reuse them for free while
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# staying entirely within DRF's existing, already-request-scoped machinery.
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_CUSTOM_FIELD_CONTEXT_CACHE_KEY = "_custom_field_lookup_cache"
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class _CachingCustomFieldPrimaryKeyField(serializers.PrimaryKeyRelatedField):
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"""
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Resolves CustomField ids with as few queries as possible: a per-instance
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cache for repeat lookups on this exact field instance, backed by a
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shared cache on the serializer context (see _CUSTOM_FIELD_CONTEXT_CACHE_KEY
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above) so later, separately-instantiated fields for the same request
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reuse what was already resolved instead of re-querying.
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"""
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def __init__(self, **kwargs: Any) -> None:
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super().__init__(**kwargs)
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self._cache: dict[int, CustomField] = {}
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def _shared_cache(self) -> dict[int, CustomField]:
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return self.context.setdefault(_CUSTOM_FIELD_CONTEXT_CACHE_KEY, {})
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@staticmethod
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def _normalize_pk(data: Any) -> int | None:
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"""
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Returns `data` coerced to the int a valid CustomField pk would be,
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or None if `data` isn't a plausible pk (wrong type, unhashable,
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non-numeric, or a bool -- DRF itself rejects bools as pks since
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`True == 1` would otherwise silently match). None tells callers to
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leave `data` alone and let `super().to_internal_value()` report the
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normal validation error instead of touching the cache/queryset with
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it directly.
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"""
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if isinstance(data, bool):
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return None
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try:
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return int(data)
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except (TypeError, ValueError):
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return None
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def prefetch(self, ids: Iterable[Any]) -> None:
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shared_cache = self._shared_cache()
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candidates = {pk for i in ids if (pk := self._normalize_pk(i)) is not None}
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missing = {
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i for i in candidates if i not in self._cache and i not in shared_cache
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}
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if missing:
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for obj in self.get_queryset().filter(pk__in=missing):
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shared_cache[obj.pk] = obj
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for i in candidates:
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obj = shared_cache.get(i)
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if obj is not None:
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self._cache[i] = obj
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def to_internal_value(self, data: Any) -> CustomField:
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pk = self._normalize_pk(data)
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if pk is None:
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return super().to_internal_value(data)
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if pk in self._cache:
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return self._cache[pk]
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shared_cache = self._shared_cache()
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if pk in shared_cache:
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obj = shared_cache[pk]
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self._cache[pk] = obj
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return obj
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obj: CustomField = super().to_internal_value(data)
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self._cache[obj.pk] = obj
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shared_cache[obj.pk] = obj
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return obj
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class CustomFieldInstanceListSerializer(serializers.ListSerializer):
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def to_internal_value(self, data: Any) -> list[Any]:
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if isinstance(data, list):
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field_ids = []
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for item in data:
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if not isinstance(item, dict) or "field" not in item:
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continue
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try:
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hash(item["field"])
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except TypeError:
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continue
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field_ids.append(item["field"])
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if field_ids:
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self.child.fields["field"].prefetch(field_ids)
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return super().to_internal_value(data)
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class CustomFieldInstanceSerializer(serializers.ModelSerializer[CustomFieldInstance]):
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field = _CachingCustomFieldPrimaryKeyField(queryset=CustomField.objects.all())
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field = serializers.PrimaryKeyRelatedField(queryset=CustomField.objects.all())
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value = ReadWriteSerializerMethodField(allow_null=True)
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def create(self, validated_data):
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@@ -1077,7 +978,6 @@ class CustomFieldInstanceSerializer(serializers.ModelSerializer[CustomFieldInsta
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class Meta:
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model = CustomFieldInstance
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list_serializer_class = CustomFieldInstanceListSerializer
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fields = [
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"value",
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"field",
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@@ -5,9 +5,7 @@ from unittest.mock import ANY
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from django.contrib.auth.models import Permission
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from django.contrib.auth.models import User
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from django.db import connection
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from django.test import override_settings
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from django.test.utils import CaptureQueriesContext
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from guardian.shortcuts import assign_perm
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from rest_framework import status
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from rest_framework.test import APITestCase
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@@ -15,9 +13,6 @@ from rest_framework.test import APITestCase
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from documents.models import CustomField
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from documents.models import CustomFieldInstance
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from documents.models import Document
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from documents.serialisers import CustomFieldInstanceSerializer
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from documents.serialisers import DocumentSerializer
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from documents.tests.factories import DocumentFactory
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from documents.tests.utils import DirectoriesMixin
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@@ -535,136 +530,6 @@ class TestCustomFieldsAPI(DirectoriesMixin, APITestCase):
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doc.refresh_from_db()
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self.assertEqual(len(doc.custom_fields.all()), 10)
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def test_document_serializer_custom_fields_validation_batches_field_lookup(
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self,
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) -> None:
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"""
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GIVEN:
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- A document is being validated with several custom field values
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at once (as happens on every PATCH/PUT/POST)
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WHEN:
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- The serializer is validated
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THEN:
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- The referenced CustomField objects are resolved with a single
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query, not one query per custom field
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"""
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doc = DocumentFactory(mime_type="application/pdf")
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custom_fields = [
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CustomField.objects.create(
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name=f"Test Custom Field {i}",
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data_type=CustomField.FieldDataType.STRING,
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)
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for i in range(5)
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]
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serializer = DocumentSerializer(
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doc,
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data={
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"custom_fields": [
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{"field": custom_field.id, "value": "test value"}
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for custom_field in custom_fields
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],
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},
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partial=True,
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)
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with CaptureQueriesContext(connection) as ctx:
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self.assertTrue(serializer.is_valid(), serializer.errors)
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custom_field_lookups = [
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query
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for query in ctx.captured_queries
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if 'FROM "documents_customfield" WHERE "documents_customfield"."id"'
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in query["sql"]
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]
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self.assertEqual(
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len(custom_field_lookups),
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1,
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"Expected a single batched query to resolve the custom fields, "
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f"got {len(custom_field_lookups)}: {custom_field_lookups}",
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)
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def test_custom_field_lookup_reuses_shared_context_cache(self) -> None:
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"""
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GIVEN:
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- A CustomField has already been resolved once, by a serializer
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sharing a given `context` dict
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WHEN:
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- A second, separately-instantiated CustomFieldInstanceSerializer
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validates the same field id, sharing that same context
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(this is what drf-writable-nested does: it rebuilds a fresh
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serializer -- and fresh field instances -- per item while
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matching existing vs. new instances during save())
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THEN:
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- No additional query is issued to resolve the CustomField
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"""
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custom_field = CustomField.objects.create(
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name="Test Custom Field",
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data_type=CustomField.FieldDataType.STRING,
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)
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context: dict = {}
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first_pass = CustomFieldInstanceSerializer(
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data={"field": custom_field.id, "value": "a"},
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context=context,
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)
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self.assertTrue(first_pass.is_valid(), first_pass.errors)
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second_pass = CustomFieldInstanceSerializer(
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data={"field": custom_field.id, "value": "b"},
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context=context,
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)
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with CaptureQueriesContext(connection) as ctx:
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self.assertTrue(second_pass.is_valid(), second_pass.errors)
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custom_field_lookups = [
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query
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for query in ctx.captured_queries
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if 'FROM "documents_customfield" WHERE "documents_customfield"."id"'
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in query["sql"]
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]
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self.assertEqual(
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len(custom_field_lookups),
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0,
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"Expected the second, separately-instantiated serializer to reuse "
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f"the already-resolved CustomField, got: {custom_field_lookups}",
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)
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def test_custom_field_validation_rejects_malformed_field_value(self) -> None:
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"""
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GIVEN:
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- A document is being validated with a malformed custom_fields
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entry whose "field" value is neither a valid CustomField id
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nor a type DRF's own PrimaryKeyRelatedField can safely reject
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on its own (unhashable, or a non-numeric scalar)
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WHEN:
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- The serializer is validated
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THEN:
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- A normal validation error is raised, not an unhandled
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TypeError/ValueError escaping past DRF's validation layer
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"""
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doc = DocumentFactory(mime_type="application/pdf")
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bad_field_values = {
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"unhashable-list": [],
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"unhashable-dict": {},
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"non-numeric-scalar": "abc",
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}
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for case_id, bad_field_value in bad_field_values.items():
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with self.subTest(case_id):
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serializer = DocumentSerializer(
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doc,
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data={
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"custom_fields": [
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{"field": bad_field_value, "value": "test value"},
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],
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},
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partial=True,
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)
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self.assertFalse(serializer.is_valid())
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self.assertIn("custom_fields", serializer.errors)
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def test_change_custom_field_instance_value(self) -> None:
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"""
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GIVEN:
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@@ -1,58 +0,0 @@
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from django.db import connection
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from django.test import TestCase
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from django.test.utils import CaptureQueriesContext
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from documents.data_models import DocumentMetadataOverrides
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from documents.models import CustomField
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from documents.models import CustomFieldInstance
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from documents.tests.factories import DocumentFactory
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from documents.tests.utils import DirectoriesMixin
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class TestDocumentMetadataOverridesFromDocument(DirectoriesMixin, TestCase):
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def test_from_document_batches_custom_field_lookup_after_refresh_from_db(
|
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self,
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) -> None:
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"""
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GIVEN:
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- A document has several custom field values
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- The document instance has just been refreshed from the database,
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which drops any prefetched related objects (as
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send_websocket_document_updated does before building overrides)
|
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WHEN:
|
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- DocumentMetadataOverrides.from_document() reads the document's
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custom field values
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THEN:
|
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- The referenced CustomField objects are resolved with a single
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query, not one query per custom field
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"""
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doc = DocumentFactory(mime_type="application/pdf")
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for i in range(5):
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CustomFieldInstance.objects.create(
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document=doc,
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field=CustomField.objects.create(
|
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name=f"Test Custom Field {i}",
|
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data_type=CustomField.FieldDataType.STRING,
|
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),
|
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value_text="value",
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)
|
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|
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doc.refresh_from_db()
|
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|
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with CaptureQueriesContext(connection) as ctx:
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overrides = DocumentMetadataOverrides.from_document(doc)
|
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|
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self.assertEqual(len(overrides.custom_fields), 5)
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unbatched_field_lookups = [
|
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query
|
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for query in ctx.captured_queries
|
||||
if 'FROM "documents_customfield" WHERE "documents_customfield"."id"'
|
||||
in query["sql"]
|
||||
]
|
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self.assertEqual(
|
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unbatched_field_lookups,
|
||||
[],
|
||||
"Expected CustomField data to come from the CustomFieldInstance "
|
||||
"join, not a separate per-instance lookup, "
|
||||
f"got: {unbatched_field_lookups}",
|
||||
)
|
||||
Reference in New Issue
Block a user