feat(search): add whoosh-compat, the shared field table and the field registry

This commit is contained in:
stumpylog
2026-09-11 14:45:14 -07:00
committed by GitHub
parent 4a54935b3d
commit 43ae124170
14 changed files with 1470 additions and 88 deletions
+10
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@@ -0,0 +1,10 @@
from whoosh_compat import FieldKind
from documents.search._fields import PUBLIC_FIELDS
class TestPublicFields:
def test_json_fields_have_subpaths(self) -> None:
for field in PUBLIC_FIELDS:
if field.kind is FieldKind.JSON:
assert field.subpaths, f"{field.name} is JSON but has no subpaths"
@@ -0,0 +1,83 @@
"""Every declared JSON subpath must actually be written to the index.
PUBLIC_FIELDS declares each JSON field's subpaths (e.g. ``notes`` ->
{"user", "note"}), but nothing coupled that declaration to what
``_backend.py``'s document builder actually writes into the JSON blob at
index time. A subpath declared but never written would be
queryable-but-always-empty -- syntactically valid, silently matching
nothing -- with no test failure anywhere.
This indexes one real document carrying values for every JSON field
(a Note, a CustomFieldInstance) and inspects the document's own stored
JSON payload, rather than running field-specific queries: that way a
future JSON field's subpaths are covered automatically, without a new
per-subpath query having to be added by hand each time.
"""
from __future__ import annotations
from typing import TYPE_CHECKING
import pytest
import tantivy
from django.contrib.auth.models import User
from whoosh_compat import FieldKind
from documents.models import CustomField
from documents.models import CustomFieldInstance
from documents.models import Document
from documents.models import Note
from documents.search._fields import PUBLIC_FIELDS
if TYPE_CHECKING:
from documents.search._backend import TantivyBackend
pytestmark = [pytest.mark.search, pytest.mark.django_db]
class TestJsonSubpathsAreWrittenAtIndexTime:
def test_every_declared_json_subpath_appears_in_the_stored_document(
self,
backend: TantivyBackend,
) -> None:
user = User.objects.create_user(username="completeness-user")
field = CustomField.objects.create(
name="Completeness Field",
data_type=CustomField.FieldDataType.STRING,
)
doc = Document.objects.create(
title="Completeness doc",
content="x",
checksum="json-subpath-completeness",
)
Note.objects.create(document=doc, user=user, note="a note")
CustomFieldInstance.objects.create(
document=doc,
field=field,
value_text="a value",
)
backend.add_or_update(doc)
index = backend._index
searcher = index.searcher()
hits = searcher.search(
tantivy.Query.term_query(index.schema, "id", doc.pk),
limit=1,
).hits
assert hits, "the document was not indexed"
stored = searcher.doc(hits[0][1]).to_dict()
json_fields = [f for f in PUBLIC_FIELDS if f.kind is FieldKind.JSON]
assert json_fields, "no JSON fields declared - fixture is stale"
for field_spec in json_fields:
stored_values = stored.get(field_spec.name)
assert stored_values, (
f"{field_spec.name} was not written to the index at all"
)
written_keys = stored_values[0].keys()
for subpath in field_spec.subpaths:
assert subpath in written_keys, (
f"{field_spec.name}.{subpath} is declared in PUBLIC_FIELDS "
"but _backend.py's document builder never writes it - it "
"would be queryable but always empty"
)
@@ -0,0 +1,60 @@
"""Wildcard patterns on KEYWORD fields must stay literal.
``checksum`` is the only KEYWORD field: it is indexed with the raw tokenizer,
so its terms are never lowercased, folded or stemmed. Running its wildcard
patterns through the stemming normalizer rewrote hex prefixes ("ceded" ->
"cede") and returned documents whose checksum did not start with what the user
typed, which for an identity field is a wrong answer.
This covers only the registry-level normalizer, which is all that exists to
prove at this point in the stack: user queries are not yet routed through
whoosh-compat (that lands with the query-layer PR), so the same fact proven
end to end against real indexed documents lives in
``test_checksum_prefix_queries.py``.
"""
from __future__ import annotations
from typing import TYPE_CHECKING
import pytest
from documents.search._registry import get_field_registry
if TYPE_CHECKING:
from whoosh_compat import FieldRegistry
from whoosh_compat import PatternNormalizer
pytestmark = [pytest.mark.search, pytest.mark.django_db]
def _normalizer(registry: FieldRegistry, name: str) -> PatternNormalizer:
ref = registry.make_ref(name)
assert ref is not None
resolved = registry.resolve(ref)
assert resolved is not None
assert resolved.spec.pattern_normalizer is not None
return resolved.spec.pattern_normalizer
class TestKeywordPatternNormalizer:
@pytest.mark.parametrize(
"run",
[
pytest.param("ceded", id="stems_to_cede"),
pytest.param("added", id="stems_to_ad"),
pytest.param("cafed", id="stems_to_cafe"),
],
)
def test_keyword_runs_are_folded_not_stemmed(self, run: str) -> None:
"""One form, the run as typed: a KEYWORD pattern must never be widened
to a stem, which would return checksums that do not start with what
the user typed."""
normalize = _normalizer(get_field_registry("en"), "checksum")
assert normalize(run) == run
def test_text_runs_still_offer_their_stem(self) -> None:
"""A TEXT field offers the stem alongside the typed run, so a term
matching either one is reachable."""
normalize = _normalizer(get_field_registry("en"), "title")
assert tuple(normalize("Running")) == ("running", "run")
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@@ -0,0 +1,149 @@
from collections.abc import Sequence
import pytest
from whoosh_compat import FieldKind
from whoosh_compat import FieldRegistry
from whoosh_compat.fields import ResolvedField
from documents.search._fields import PUBLIC_FIELDS
from documents.search._registry import get_field_registry
@pytest.fixture
def registry() -> FieldRegistry:
return get_field_registry(None)
def _resolve(registry: FieldRegistry, name: str) -> ResolvedField:
ref = registry.make_ref(name)
assert ref is not None, f"{name} is not a valid field ref"
resolved = registry.resolve(ref)
assert resolved is not None, f"{name} did not resolve"
return resolved
def _distinct_forms(result: str | Sequence[str]) -> tuple[str, ...]:
"""The forms a term may match, in order, the way whoosh-compat's emitter
reads a pattern_normalizer's answer: a bare str is one form, a sequence is
several, deduplicated."""
if isinstance(result, str):
return (result,)
return tuple(dict.fromkeys(result))
class TestFieldRegistry:
def test_internal_id_fields_are_not_registered(
self,
registry: FieldRegistry,
) -> None:
for name in (
"tag_id",
"owner_id",
"viewer_id",
"correspondent_id",
"document_type_id",
"storage_path_id",
"viewer_group_id",
):
assert name not in registry
def test_no_queryable_field_name_ends_in_id(self) -> None:
# The list above names the seven that were dropped; this catches the
# eighth. Internal *_id columns are written for permission filtering
# and joins, and whoosh only exposed them as query fields by accident,
# so a new one reaching the query surface is a leak rather than a
# feature. Checked against PUBLIC_FIELDS rather than the registry so
# an internal field is caught where it is declared.
leaked = [f.name for f in PUBLIC_FIELDS if f.name.endswith("_id")]
assert not leaked, f"internal id fields reached the query surface: {leaked}"
def test_type_alias_resolves_to_document_type(
self,
registry: FieldRegistry,
) -> None:
assert _resolve(registry, "type").spec.name == "document_type"
def test_path_alias_resolves_to_storage_path(self, registry: FieldRegistry) -> None:
assert _resolve(registry, "path").spec.name == "storage_path"
def test_notes_json_subpaths_resolve(self, registry: FieldRegistry) -> None:
resolved = _resolve(registry, "notes.user")
assert resolved.spec.name == "notes"
assert resolved.json_path == "user"
assert resolved.is_subpath is True
def test_custom_fields_json_subpaths_resolve(self, registry: FieldRegistry) -> None:
for raw in ("custom_fields.name", "custom_fields.value"):
_resolve(registry, raw)
def test_unregistered_json_subpath_does_not_resolve(
self,
registry: FieldRegistry,
) -> None:
# An unregistered subpath is not even a valid FieldRef: make_ref
# returns None for a dotted name whose subpath isn't registered
# (it doesn't produce a ref for resolve() to then reject).
assert registry.make_ref("notes.bogus") is None
def test_tag_is_comma_values(self, registry: FieldRegistry) -> None:
assert _resolve(registry, "tag").spec.comma_values is True
def test_correspondent_is_not_comma_values(self, registry: FieldRegistry) -> None:
# "tag" is the only field that opts in. This is only observable here:
# end to end the two readings of "correspondent:foo,bar" agree,
# because the analyzer splits the literal value on the comma anyway,
# so a result-level test cannot tell a value list from literal text.
assert _resolve(registry, "correspondent").spec.comma_values is False
def test_created_is_date_kind(self, registry: FieldRegistry) -> None:
resolved = _resolve(registry, "created")
assert resolved.spec.kind is FieldKind.DATE
assert resolved.spec.date_only is True
def test_analyzer_lowercases_and_ascii_folds(self, registry: FieldRegistry) -> None:
# title uses the paperless_text analyzer: simple -> remove_long ->
# lowercase -> ascii_fold [-> stemmer]. With no language configured
# (None), no stemmer runs, so "Café" folds to the single token "cafe".
resolved = _resolve(registry, "title")
assert resolved.spec.analyzer is not None
assert resolved.spec.analyzer("Café") == ["cafe"]
def test_checksum_analyzer_is_identity_single_token(
self,
registry: FieldRegistry,
) -> None:
# checksum uses the raw tokenizer at index time (no splitting).
resolved = _resolve(registry, "checksum")
assert resolved.spec.analyzer is not None
assert resolved.spec.analyzer("ABC-123") == ["ABC-123"]
def test_pattern_normalizer_follows_the_registry_language(
self,
registry: FieldRegistry,
) -> None:
# Index terms are stemmed, so patterns offer their stem too, using the
# registry's own language: "Running" has to reach the indexed "run".
# Without a language the index holds surface forms, so there is no
# second form and the run is only case/accent-folded.
resolved = _resolve(registry, "title")
assert resolved.spec.pattern_normalizer is not None
assert _distinct_forms(resolved.spec.pattern_normalizer("Running")) == (
"running",
)
resolved_en = _resolve(get_field_registry("en"), "title")
assert resolved_en.spec.pattern_normalizer is not None
assert _distinct_forms(resolved_en.spec.pattern_normalizer("Running")) == (
"running",
"run",
)
def test_registry_is_cached_per_language(self) -> None:
a = get_field_registry("en")
b = get_field_registry("en")
assert a is b
def test_registry_rebuilds_on_language_change(self) -> None:
a = get_field_registry("en")
b = get_field_registry("de")
assert a is not b
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@@ -1,12 +1,20 @@
from __future__ import annotations
import json
from datetime import UTC
from datetime import datetime
from typing import TYPE_CHECKING
import pytest
import tantivy
from documents.search._fields import PUBLIC_FIELDS
from documents.search._schema import SCHEMA_VERSION
from documents.search._schema import build_schema
from documents.search._schema import field_descriptors
from documents.search._schema import needs_rebuild
from documents.search._schema import schema_fingerprint
from documents.search._tokenizer import register_tokenizers
if TYPE_CHECKING:
from pathlib import Path
@@ -30,7 +38,13 @@ class TestNeedsRebuild:
) -> None:
settings.SEARCH_LANGUAGE = "en"
(index_dir / ".index_settings.json").write_text(
json.dumps({"schema_version": SCHEMA_VERSION, "language": "en"}),
json.dumps(
{
"schema_version": SCHEMA_VERSION,
"language": "en",
"schema_fingerprint": schema_fingerprint(),
},
),
)
assert needs_rebuild(index_dir) is False
@@ -77,3 +91,72 @@ class TestNeedsRebuild:
json.dumps({"schema_version": SCHEMA_VERSION, "language": "en"}),
)
assert needs_rebuild(index_dir) is True
def _schema_fields(schema: tantivy.Schema) -> dict[str, dict]:
"""{name: field-state} for every field declared on a tantivy Schema.
tantivy-py 0.26 exposes no public introspection API on Schema (no
__iter__, get_field, to_json, etc.) -- __reduce__() (used internally for
pickling) is the only way to recover the field list, so we lean on it
here for test assertions only.
"""
state = schema.__reduce__()[1][0]
return {field["name"]: field for field in state["inner"]}
class TestSchemaMatchesPublicFields:
def test_every_public_field_is_in_the_schema(self) -> None:
schema = build_schema()
schema_field_names = set(_schema_fields(schema))
for field in PUBLIC_FIELDS:
assert field.name in schema_field_names, (
f"{field.name} is in PUBLIC_FIELDS but missing from build_schema()"
)
def test_asn_page_count_num_notes_are_fast_unsigned_fields(self) -> None:
# Spot-check kind-derived construction for the U64 fields.
schema = build_schema()
doc = tantivy.Document()
doc.add_unsigned("id", 1)
doc.add_text("checksum", "x")
doc.add_unsigned("asn", 42)
doc.add_unsigned("page_count", 3)
doc.add_unsigned("num_notes", 0)
doc.add_date("created", datetime(2020, 1, 1, tzinfo=UTC))
doc.add_date("modified", datetime(2020, 1, 1, tzinfo=UTC))
doc.add_date("added", datetime(2020, 1, 1, tzinfo=UTC))
index = tantivy.Index(schema)
register_tokenizers(index, None)
writer = index.writer()
writer.add_document(doc)
writer.commit()
index.reload()
searcher = index.searcher()
results = searcher.search(tantivy.Query.term_query(schema, "asn", 42), limit=1)
assert len(results.hits) == 1
class TestFastFlagAgreement:
def test_every_public_field_fast_flag_matches_the_built_schema(self) -> None:
# whoosh-compat's registry trusts PUBLIC_FIELDS' fast flag when resolving
# field:* existence checks (its FAST_FIELD strategy); a fast=True
# entry whose actual tantivy column is not fast would make those
# searches silently match nothing at search time. Only the U64 and
# DATE descriptors can carry the flag today, so this
# pins the agreement for EVERY kind: a future fast=True
# TEXT/KEYWORD/JSON entry the builder silently ignores fails here
# instead of at a user's query.
#
# field_descriptors() (not tantivy-py's __reduce__() pickling
# internals) is used as the probe here: it is exactly the input
# build_schema()'s SchemaBuilder consumes for the `fast` kwarg on
# every field kind, so it pins the same agreement without depending
# on a private pickled representation surviving a tantivy-py
# upgrade.
descriptor_fast = {d.name: d.fast for d in field_descriptors()}
for public_field in PUBLIC_FIELDS:
assert descriptor_fast[public_field.name] == public_field.fast, (
f"{public_field.name}: PUBLIC_FIELDS says fast={public_field.fast} but"
f" field_descriptors() says fast={descriptor_fast[public_field.name]}"
)
@@ -0,0 +1,492 @@
"""The schema fingerprint stamped into .index_settings.json.
tantivy compares schemas by *ordered* field list, and `tantivy.Index(schema,
path=...)` (what every write path does) raises on any difference. SCHEMA_VERSION
is the manual guard against that, but build_schema() is edited for *parser*
reasons - adding an alias, flipping fast=True, adding a subpath - by people not
thinking about the on-disk index, and forgetting the bump is exactly how this
branch's bug happened.
The fingerprint is the automatic guard: it hashes the field descriptor list that
build_schema() itself iterates, so any change to a field's name, kind, options
or *position* forces a rebuild on its own.
"""
from __future__ import annotations
import hashlib
import json
from typing import TYPE_CHECKING
import pytest
import tantivy
from documents.search import _schema
from documents.search._schema import SCHEMA_VERSION
from documents.search._schema import FieldDescriptor
from documents.search._schema import _write_sentinels
from documents.search._schema import build_schema
from documents.search._schema import field_descriptors
from documents.search._schema import needs_rebuild
from documents.search._schema import schema_fingerprint
if TYPE_CHECKING:
from pathlib import Path
from pytest_django.fixtures import SettingsWrapper
pytestmark = pytest.mark.search
# The on-disk field layout of a v2 index, pinned as data. Any edit here is an
# index-format change: it must come with a rebuild, which the fingerprint now
# forces automatically. Reproduced from build_schema()'s output as it stood
# before the descriptor refactor, so it also pins that the refactor changed
# nothing.
PINNED_DESCRIPTORS: tuple[FieldDescriptor, ...] = (
FieldDescriptor("id", "u64", stored=True, indexed=True, fast=True, tokenizer=None),
FieldDescriptor(
"title",
"text",
stored=True,
indexed=True,
fast=False,
tokenizer="paperless_text",
),
FieldDescriptor(
"content",
"text",
stored=True,
indexed=True,
fast=False,
tokenizer="paperless_text",
),
FieldDescriptor(
"correspondent",
"text",
stored=True,
indexed=True,
fast=False,
tokenizer="paperless_text",
),
FieldDescriptor(
"document_type",
"text",
stored=True,
indexed=True,
fast=False,
tokenizer="paperless_text",
),
FieldDescriptor(
"storage_path",
"text",
stored=True,
indexed=True,
fast=False,
tokenizer="paperless_text",
),
FieldDescriptor(
"original_filename",
"text",
stored=True,
indexed=True,
fast=False,
tokenizer="paperless_text",
),
FieldDescriptor(
"tag",
"text",
stored=True,
indexed=True,
fast=False,
tokenizer="paperless_text",
),
FieldDescriptor(
"checksum",
"text",
stored=True,
indexed=True,
fast=False,
tokenizer="raw",
),
FieldDescriptor("asn", "u64", stored=True, indexed=True, fast=True, tokenizer=None),
FieldDescriptor(
"page_count",
"u64",
stored=True,
indexed=True,
fast=True,
tokenizer=None,
),
FieldDescriptor(
"num_notes",
"u64",
stored=True,
indexed=True,
fast=True,
tokenizer=None,
),
FieldDescriptor(
"created",
"date",
stored=True,
indexed=True,
fast=True,
tokenizer=None,
),
FieldDescriptor(
"modified",
"date",
stored=True,
indexed=True,
fast=True,
tokenizer=None,
),
FieldDescriptor(
"added",
"date",
stored=True,
indexed=True,
fast=True,
tokenizer=None,
),
FieldDescriptor(
"notes",
"json",
stored=True,
indexed=True,
fast=False,
tokenizer="paperless_text",
),
FieldDescriptor(
"notes_text",
"text",
stored=True,
indexed=True,
fast=False,
tokenizer="paperless_text",
),
FieldDescriptor(
"custom_fields",
"json",
stored=True,
indexed=True,
fast=False,
tokenizer="paperless_text",
),
FieldDescriptor(
"title_sort",
"text",
stored=False,
indexed=True,
fast=True,
tokenizer="simple_analyzer",
),
FieldDescriptor(
"correspondent_sort",
"text",
stored=False,
indexed=True,
fast=True,
tokenizer="simple_analyzer",
),
FieldDescriptor(
"type_sort",
"text",
stored=False,
indexed=True,
fast=True,
tokenizer="simple_analyzer",
),
FieldDescriptor(
"bigram_content",
"text",
stored=False,
indexed=True,
fast=False,
tokenizer="bigram_analyzer",
),
FieldDescriptor(
"bigram_title",
"text",
stored=False,
indexed=True,
fast=False,
tokenizer="bigram_analyzer",
),
FieldDescriptor(
"bigram_correspondent",
"text",
stored=False,
indexed=True,
fast=False,
tokenizer="bigram_analyzer",
),
FieldDescriptor(
"bigram_document_type",
"text",
stored=False,
indexed=True,
fast=False,
tokenizer="bigram_analyzer",
),
FieldDescriptor(
"bigram_tag",
"text",
stored=False,
indexed=True,
fast=False,
tokenizer="bigram_analyzer",
),
FieldDescriptor(
"simple_title",
"text",
stored=False,
indexed=True,
fast=False,
tokenizer="simple_search_analyzer",
),
FieldDescriptor(
"simple_content",
"text",
stored=False,
indexed=True,
fast=False,
tokenizer="simple_search_analyzer",
),
FieldDescriptor(
"autocomplete_word",
"text",
stored=False,
indexed=True,
fast=False,
tokenizer="raw",
),
FieldDescriptor(
"owner_id",
"u64",
stored=False,
indexed=True,
fast=True,
tokenizer=None,
),
FieldDescriptor(
"viewer_id",
"u64",
stored=False,
indexed=True,
fast=True,
tokenizer=None,
),
FieldDescriptor(
"viewer_group_id",
"u64",
stored=False,
indexed=True,
fast=True,
tokenizer=None,
),
)
def _schema_fields(schema: tantivy.Schema) -> list[dict]:
"""The tantivy-level field list, in declaration order.
tantivy-py 0.26 exposes no public introspection API on Schema, so
__reduce__() (its pickling hook) is the only way to recover the field list.
It is used here, in a test, precisely because it is the representation the
persisted fingerprint must NOT depend on.
"""
return schema.__reduce__()[1][0]["inner"]
def _sentinels(index_dir: Path, **overrides: object) -> None:
data = {
"schema_version": SCHEMA_VERSION,
"language": None,
"schema_fingerprint": schema_fingerprint(),
}
data.update(overrides)
(index_dir / ".index_settings.json").write_text(json.dumps(data))
class TestDescriptorsDescribeTheBuiltSchema:
def test_descriptors_match_the_pinned_field_layout(self) -> None:
assert tuple(field_descriptors()) == PINNED_DESCRIPTORS
def test_built_schema_matches_the_descriptors(self) -> None:
"""The descriptors are not a parallel description - they are the input.
Reading the built schema back proves the loop honours every option, so
a descriptor edit cannot claim a shape the SchemaBuilder did not build.
"""
kinds = {"text": "text", "json": "json_object", "u64": "u64", "date": "date"}
built = [
(
field["name"],
field["type"],
field["options"]["stored"],
bool(field["options"].get("fast")),
(field["options"].get("indexing") or {}).get("tokenizer"),
)
for field in _schema_fields(build_schema())
]
expected = [
(
descriptor.name,
kinds[descriptor.kind],
descriptor.stored,
descriptor.fast,
descriptor.tokenizer,
)
for descriptor in field_descriptors()
]
assert built == expected
class TestFingerprintSensitivity:
def test_a_field_option_change_moves_the_fingerprint(
self,
monkeypatch: pytest.MonkeyPatch,
) -> None:
before = schema_fingerprint()
changed = field_descriptors()
changed[1] = changed[1]._replace(fast=True)
monkeypatch.setattr(_schema, "field_descriptors", lambda: changed)
assert schema_fingerprint() != before
def test_reordering_alone_moves_the_fingerprint(
self,
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""The original bug: same fields, different declaration order.
A set- or dict-based fingerprint would be blind to this, and tantivy
would reject every write against the existing index.
"""
before = schema_fingerprint()
swapped = field_descriptors()
swapped[1], swapped[2] = swapped[2], swapped[1]
monkeypatch.setattr(_schema, "field_descriptors", lambda: swapped)
assert schema_fingerprint() != before
def test_repeated_calls_agree(self) -> None:
assert schema_fingerprint() == schema_fingerprint()
class TestFingerprintIsIndependentOfTantivy:
def test_a_tantivy_option_key_addition_would_not_move_it(self) -> None:
"""A tantivy-py upgrade must not force a global reindex.
Hashing schema.__reduce__() would do exactly that: the simulated new
option key below changes that payload for every user with no schema
change at all.
"""
fields = _schema_fields(build_schema())
upgraded = [
{**field, "options": {**field["options"], "coerce": True}}
for field in fields
]
assert _hash(upgraded) != _hash(fields)
assert schema_fingerprint() == _fingerprint_of(field_descriptors())
def test_fingerprint_never_touches_the_schema_builder(
self,
monkeypatch: pytest.MonkeyPatch,
) -> None:
before = schema_fingerprint()
class _RemovedSchemaBuilder:
def __init__(self) -> None:
raise AssertionError("tantivy.SchemaBuilder was consulted")
monkeypatch.setattr(tantivy, "SchemaBuilder", _RemovedSchemaBuilder)
with pytest.raises(AssertionError):
build_schema()
assert schema_fingerprint() == before
def _hash(payload: object) -> str:
return hashlib.blake2b(json.dumps(payload).encode()).hexdigest()
def _fingerprint_of(descriptors: list[FieldDescriptor]) -> str:
return _hash([list(descriptor) for descriptor in descriptors])
class TestNeedsRebuildOnFingerprint:
def test_matching_fingerprint_does_not_rebuild(
self,
index_dir: Path,
settings: SettingsWrapper,
) -> None:
settings.SEARCH_LANGUAGE = None
_sentinels(index_dir)
assert needs_rebuild(index_dir) is False
def test_stale_fingerprint_rebuilds_despite_a_matching_version(
self,
index_dir: Path,
settings: SettingsWrapper,
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""The failure this task exists to prevent: schema edited, version not
bumped. Without the fingerprint check, `reindex --if-needed` reports the
index up to date and every write then raises."""
settings.SEARCH_LANGUAGE = None
_sentinels(index_dir)
extended = [
*field_descriptors(),
FieldDescriptor(
"new_field",
"u64",
stored=False,
indexed=True,
fast=True,
tokenizer=None,
),
]
monkeypatch.setattr(_schema, "field_descriptors", lambda: extended)
assert needs_rebuild(index_dir) is True
def test_reordered_schema_rebuilds(
self,
index_dir: Path,
settings: SettingsWrapper,
monkeypatch: pytest.MonkeyPatch,
) -> None:
settings.SEARCH_LANGUAGE = None
_sentinels(index_dir)
reordered = field_descriptors()
reordered[1], reordered[2] = reordered[2], reordered[1]
monkeypatch.setattr(_schema, "field_descriptors", lambda: reordered)
assert needs_rebuild(index_dir) is True
def test_missing_fingerprint_rebuilds(
self,
index_dir: Path,
settings: SettingsWrapper,
) -> None:
"""No seeding: an index whose schema shape nobody recorded is rebuilt
rather than trusted."""
settings.SEARCH_LANGUAGE = None
(index_dir / ".index_settings.json").write_text(
json.dumps({"schema_version": SCHEMA_VERSION, "language": None}),
)
assert needs_rebuild(index_dir) is True
def test_written_sentinels_satisfy_the_check(
self,
index_dir: Path,
settings: SettingsWrapper,
) -> None:
settings.SEARCH_LANGUAGE = "en"
_write_sentinels(index_dir)
assert needs_rebuild(index_dir) is False
@@ -0,0 +1,164 @@
"""SCHEMA_VERSION must change whenever build_schema()'s field list or order does.
tantivy compares schemas by *ordered* field list. ``Index.open()`` loads the
schema from the index's own ``meta.json``, so reads against an index built by an
older release keep working after a field reorder. Writes do not:
``WriteBatch.__enter__`` calls ``tantivy.Index(build_schema(), path=...)``, an
open-or-create that raises ``ValueError`` on any schema difference. Nothing
catches that ValueError, so consumption, index_document and bulk edit all
hard-fail while ``/api/status/`` still reports the index healthy.
The only thing that saves such an install is ``needs_rebuild()`` noticing the
version stamped in ``.index_settings.json`` is stale.
"""
from __future__ import annotations
import json
from typing import TYPE_CHECKING
import pytest
import tantivy
from django.conf import settings as django_settings
from documents.search._schema import build_schema
from documents.search._schema import needs_rebuild
from documents.search._schema import open_or_rebuild_index
if TYPE_CHECKING:
from pathlib import Path
pytestmark = [pytest.mark.search]
RELEASED_V1_SCHEMA_VERSION = 1
def _build_released_v1_schema() -> tantivy.Schema:
"""Frozen copy of build_schema() as shipped in v3.0.x (schema version 1).
Deliberately duplicated rather than imported: it must keep describing the
on-disk layout of already-deployed indexes even as build_schema() evolves.
"""
sb = tantivy.SchemaBuilder()
sb.add_unsigned_field("id", stored=True, indexed=True, fast=True)
sb.add_text_field("checksum", stored=True, tokenizer_name="raw")
for field in (
"title",
"correspondent",
"document_type",
"storage_path",
"original_filename",
"content",
):
sb.add_text_field(field, stored=True, tokenizer_name="paperless_text")
for field in ("title_sort", "correspondent_sort", "type_sort"):
sb.add_text_field(
field,
stored=False,
tokenizer_name="simple_analyzer",
fast=True,
)
for field in (
"bigram_content",
"bigram_title",
"bigram_correspondent",
"bigram_document_type",
"bigram_tag",
):
sb.add_text_field(field, stored=False, tokenizer_name="bigram_analyzer")
for field in ("simple_title", "simple_content"):
sb.add_text_field(field, stored=False, tokenizer_name="simple_search_analyzer")
sb.add_text_field("autocomplete_word", stored=False, tokenizer_name="raw")
sb.add_text_field("tag", stored=True, tokenizer_name="paperless_text")
sb.add_json_field("notes", stored=True, tokenizer_name="paperless_text")
sb.add_text_field("notes_text", stored=True, tokenizer_name="paperless_text")
sb.add_json_field("custom_fields", stored=True, tokenizer_name="paperless_text")
for field in (
"correspondent_id",
"document_type_id",
"storage_path_id",
"tag_id",
"owner_id",
"viewer_id",
"viewer_group_id",
):
sb.add_unsigned_field(field, stored=False, indexed=True, fast=True)
for field in ("created", "modified", "added"):
sb.add_date_field(field, stored=True, indexed=True, fast=True)
for field in ("asn", "page_count", "num_notes"):
sb.add_unsigned_field(field, stored=True, indexed=True, fast=True)
return sb.build()
@pytest.fixture
def released_v1_index(tmp_path: Path) -> Path:
"""An index directory as a v3.0.x install would leave it on disk."""
index_dir = tmp_path / "index"
index_dir.mkdir()
tantivy.Index(_build_released_v1_schema(), path=str(index_dir))
(index_dir / ".index_settings.json").write_text(
json.dumps(
{
"schema_version": RELEASED_V1_SCHEMA_VERSION,
"language": django_settings.SEARCH_LANGUAGE,
},
),
)
return index_dir
class TestUpgradeFromReleasedV1Index:
def test_released_v1_index_is_flagged_for_rebuild(
self,
released_v1_index: Path,
) -> None:
"""The current schema differs from v1's, so the sentinel must be stale.
If this fails, `document_index reindex --if-needed` prints "Search index
is up to date" and skips, leaving the mismatched index in place.
"""
assert needs_rebuild(released_v1_index) is True
def test_v1_index_rejects_writes_against_the_current_schema(
self,
released_v1_index: Path,
) -> None:
"""The failure mode the version bump exists to prevent.
This is exactly what WriteBatch.__enter__ does on every index write.
"""
with pytest.raises(ValueError, match="schema does not match"):
tantivy.Index(build_schema(), path=str(released_v1_index))
def test_opening_a_v1_index_leaves_it_writable(
self,
released_v1_index: Path,
) -> None:
"""End to end: open_or_rebuild_index must hand back an index that the
write path can reopen. Before the version bump, needs_rebuild() returned
False here, the stale directory survived untouched, and every subsequent
write raised the ValueError above."""
open_or_rebuild_index(released_v1_index)
tantivy.Index(build_schema(), path=str(released_v1_index))
def test_rebuilt_index_is_not_rebuilt_again(
self,
released_v1_index: Path,
) -> None:
"""The rebuild must stamp the version it actually wrote, otherwise every
startup wipes and reindexes the whole corpus."""
open_or_rebuild_index(released_v1_index)
assert needs_rebuild(released_v1_index) is False
+2 -2
View File
@@ -7,8 +7,8 @@ import pytest
import tantivy
from documents.search._tokenizer import _bigram_analyzer
from documents.search._tokenizer import _paperless_text
from documents.search._tokenizer import _simple_search_analyzer
from documents.search._tokenizer import paperless_text_analyzer
from documents.search._tokenizer import register_tokenizers
if TYPE_CHECKING:
@@ -25,7 +25,7 @@ class TestTokenizers:
sb.add_text_field("content", stored=True, tokenizer_name="paperless_text")
schema = sb.build()
idx = tantivy.Index(schema, path=None)
idx.register_tokenizer("paperless_text", _paperless_text(""))
idx.register_tokenizer("paperless_text", paperless_text_analyzer(""))
return idx
@pytest.fixture