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https://github.com/paperless-ngx/paperless-ngx.git
synced 2026-08-25 20:23:18 +00:00
Handles a bad client sending malformed JSON or non-int primary keys
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@@ -909,24 +909,48 @@ class _CachingCustomFieldPrimaryKeyField(serializers.PrimaryKeyRelatedField):
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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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def prefetch(self, ids: Iterable[int]) -> None:
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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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missing = {i for i in ids if i not in self._cache and i not in 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 ids:
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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: int) -> CustomField:
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if data in self._cache:
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return self._cache[data]
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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 data in shared_cache:
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obj = shared_cache[data]
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self._cache[data] = obj
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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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@@ -937,11 +961,15 @@ class _CachingCustomFieldPrimaryKeyField(serializers.PrimaryKeyRelatedField):
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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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item["field"]
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for item in data
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if isinstance(item, dict) and "field" in item
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}
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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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@@ -630,6 +630,41 @@ class TestCustomFieldsAPI(DirectoriesMixin, APITestCase):
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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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