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27 changed files with 2988 additions and 2149 deletions
+1 -1
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@@ -1215,7 +1215,7 @@ should be a valid crontab(5) expression describing when to run.
: If set to the string "disable", no emails will be fetched automatically.
Defaults to `*/10 * * * *` or every ten minutes.
Defaults to every ten minutes, with an installation-specific minute offset.
#### [`PAPERLESS_TRAIN_TASK_CRON=<cron expression>`](#PAPERLESS_TRAIN_TASK_CRON) {#PAPERLESS_TRAIN_TASK_CRON}
-23
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@@ -903,22 +903,6 @@ added:yesterday
modified:today
```
Matching by archive metadata:
```
asn:100
page_count:12
checksum:a1b2c3d4
original_filename:invoice.pdf
```
- `asn` matches a document's Archive Serial Number.
- `page_count` matches a document's page count.
- `checksum` matches the checksum of the original document file (not the
archived/processed version).
- `original_filename` matches the filename of the document as originally
consumed.
Matching inexact words:
```
@@ -927,10 +911,6 @@ produ*name
Matching natural date keywords:
Multi-word date keywords work quoted or unquoted after a date field
(`added:"previous month"` and `added:previous month` are equivalent);
elsewhere in a query the same words are treated as ordinary search text.
```
added:today
modified:yesterday
@@ -958,7 +938,6 @@ custom_fields.name:Insurance custom_fields.value:policy
- `custom_fields.value` matches against the value of any custom field.
- `custom_fields.name` matches the name of the field (use quotes for multi-word names).
- Combine both to find documents where a specific named field contains a specific value.
- The bare `custom_fields:` prefix is shorthand for `custom_fields.value:`.
Because separators are stripped during indexing, individual parts of formatted
codes are searchable on their own. A value stored as `A-1312/99.50` produces the
@@ -986,8 +965,6 @@ notes.note:reminder
notes.user:alice notes.note:insurance
```
The bare `notes:` prefix is shorthand for `notes.note:`.
All of these constructs can be combined as you see fit. If you want to
learn more about the query language used by paperless, see the
[Tantivy query language documentation](https://docs.rs/tantivy/latest/tantivy/query/struct.QueryParser.html).
-6
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@@ -77,7 +77,6 @@ dependencies = [
"torch~=2.13.0",
"watchfiles>=1.2",
"whitenoise~=6.11",
"whoosh-compat[tantivy]",
"zxing-cpp~=3.1.0",
]
[project.optional-dependencies]
@@ -169,11 +168,6 @@ psycopg-c = [
torch = [
{ index = "pytorch-cpu" },
]
# TODO: switch to a pinned PyPI version once whoosh-compat releases
# (expected around this repo's PR 3 in the transition plan); fall back to a
# pinned git commit SHA if that release slips. See
# docs/superpowers/specs/2026-08-07-whoosh-compat-transition-design.md.
whoosh-compat = { path = "../whoosh-compat" }
[tool.ruff]
target-version = "py311"
+2 -8
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@@ -6,18 +6,13 @@ from documents.search._backend import TantivyRelevanceList
from documents.search._backend import WriteBatch
from documents.search._backend import get_backend
from documents.search._backend import reset_backend
from documents.search._errors import InvalidDateQuery
from documents.search._errors import InvalidNumberQuery
from documents.search._errors import MultipleSearchQueryErrors
from documents.search._errors import SearchQueryError
from documents.search._errors import search_query_error_messages
from documents.search._schema import needs_rebuild
from documents.search._schema import wipe_index
from documents.search._translate import InvalidDateQuery
from documents.search._translate import SearchQueryError
__all__ = [
"InvalidDateQuery",
"InvalidNumberQuery",
"MultipleSearchQueryErrors",
"SearchHit",
"SearchIndexLockError",
"SearchMode",
@@ -28,6 +23,5 @@ __all__ = [
"get_backend",
"needs_rebuild",
"reset_backend",
"search_query_error_messages",
"wipe_index",
]
+1 -42
View File
@@ -25,6 +25,7 @@ from django.utils.timezone import get_current_timezone
from guardian.shortcuts import get_groups_with_perms
from guardian.shortcuts import get_users_with_perms
from documents.search._query import build_permission_filter
from documents.search._query import extract_cjk_text
from documents.search._query import parse_simple_text_highlight_query
from documents.search._query import parse_simple_text_query
@@ -42,7 +43,6 @@ from documents.utils import QuerySetStream
from documents.utils import identity
if TYPE_CHECKING:
from collections.abc import Iterable
from collections.abc import Iterator
from collections.abc import Sequence
from pathlib import Path
@@ -294,47 +294,6 @@ class WriteBatch:
)
def build_permission_filter(
schema: tantivy.Schema,
user: AbstractUser,
viewer_group_ids: Iterable[int] = (),
) -> tantivy.Query:
"""
Build a query filter for user document permissions.
Creates a query that matches only documents visible to the specified user
according to paperless-ngx permission rules:
- Public documents (no owner) are visible to all users
- Private documents are visible to their owner
- Documents explicitly shared with the user are visible
- Documents shared with one of the user's current groups are visible
Args:
schema: Tantivy schema for field validation
user: User to check permissions for
viewer_group_ids: Current group memberships for the user
Returns:
Tantivy query that filters results to visible documents
"""
owner_any = tantivy.Query.exists_query("owner_id")
no_owner = tantivy.Query.boolean_query(
[
(tantivy.Occur.Must, tantivy.Query.all_query()),
(tantivy.Occur.MustNot, owner_any),
],
)
owned = tantivy.Query.term_query(schema, "owner_id", user.pk)
shared = tantivy.Query.term_query(schema, "viewer_id", user.pk)
group_shared = [
tantivy.Query.term_query(schema, "viewer_group_id", group_id)
for group_id in viewer_group_ids
]
return tantivy.Query.disjunction_max_query(
[no_owner, owned, shared, *group_shared],
)
class TantivyBackend:
"""
Tantivy search backend with explicit lifecycle management.
+171
View File
@@ -0,0 +1,171 @@
from __future__ import annotations
from datetime import UTC
from datetime import date
from datetime import datetime
from datetime import timedelta
from typing import TYPE_CHECKING
from typing import Final
from dateutil.relativedelta import relativedelta
if TYPE_CHECKING:
from datetime import tzinfo
_DATE_ONLY_FIELDS = frozenset({"created"})
_TODAY: Final[str] = "today"
_YESTERDAY: Final[str] = "yesterday"
_PREVIOUS_WEEK: Final[str] = "previous week"
_THIS_MONTH: Final[str] = "this month"
_PREVIOUS_MONTH: Final[str] = "previous month"
_THIS_YEAR: Final[str] = "this year"
_PREVIOUS_YEAR: Final[str] = "previous year"
_PREVIOUS_QUARTER: Final[str] = "previous quarter"
_DATE_KEYWORDS = frozenset(
{
_TODAY,
_YESTERDAY,
_PREVIOUS_WEEK,
_THIS_MONTH,
_PREVIOUS_MONTH,
_THIS_YEAR,
_PREVIOUS_YEAR,
_PREVIOUS_QUARTER,
},
)
def _fmt(dt: datetime) -> str:
"""Format a datetime as an ISO 8601 UTC string for use in Tantivy range queries."""
return dt.astimezone(UTC).strftime("%Y-%m-%dT%H:%M:%SZ")
def _iso_range(lo: datetime, hi: datetime) -> str:
"""
Format a half-open ``[lo TO hi)`` range in ISO 8601 for Tantivy query syntax.
``hi`` is always the exclusive ceiling of a computed period (the start of
the *next* day/week/month/quarter/year), so the closing bracket must be
the Tantivy exclusive-range brace ``}`` rather than ``]`` — otherwise the
first instant of the following period (e.g. the 1st of next month) is
incorrectly included in the match.
"""
return f"[{_fmt(lo)} TO {_fmt(hi)}}}"
def _quarter_start(d: date) -> date:
"""Return the first day of the calendar quarter containing ``d``."""
return date(d.year, ((d.month - 1) // 3) * 3 + 1, 1)
def _midnight(d: date, tz: tzinfo) -> datetime:
"""Convert a calendar date at local-timezone midnight to a UTC datetime."""
return datetime(d.year, d.month, d.day, tzinfo=tz).astimezone(UTC)
def _keyword_bounds(keyword: str, tz: tzinfo) -> tuple[date, date]:
"""
Map a relative date keyword to ``(start, exclusive_end)`` calendar dates.
``tz`` only determines what "today" is; the caller decides how the returned
dates become UTC datetime boundaries (date-only vs. local-midnight offset).
"""
today = datetime.now(tz).date()
if keyword == _TODAY:
return today, today + timedelta(days=1)
if keyword == _YESTERDAY:
return today - timedelta(days=1), today
if keyword == _PREVIOUS_WEEK:
this_monday = today - timedelta(days=today.weekday())
return this_monday - timedelta(weeks=1), this_monday
if keyword == _THIS_MONTH:
first = today.replace(day=1)
return first, first + relativedelta(months=1)
if keyword == _PREVIOUS_MONTH:
this_first = today.replace(day=1)
return this_first - relativedelta(months=1), this_first
if keyword == _THIS_YEAR:
return date(today.year, 1, 1), date(today.year + 1, 1, 1)
if keyword == _PREVIOUS_YEAR:
return date(today.year - 1, 1, 1), date(today.year, 1, 1)
if keyword == _PREVIOUS_QUARTER:
this_quarter = _quarter_start(today)
return this_quarter - relativedelta(months=3), this_quarter
raise ValueError(f"Unknown keyword: {keyword}")
def _date_only_range(keyword: str, tz: tzinfo) -> str:
"""
For `created` (DateField): use the local calendar date, converted to
midnight UTC boundaries. No offset arithmetic — date only.
"""
start, end = _keyword_bounds(keyword, tz)
lo = datetime(start.year, start.month, start.day, tzinfo=UTC)
hi = datetime(end.year, end.month, end.day, tzinfo=UTC)
return _iso_range(lo, hi)
def _datetime_range(keyword: str, tz: tzinfo) -> str:
"""
For `added` / `modified` (DateTimeField, stored as UTC): convert local day
boundaries to UTC — full offset arithmetic required.
"""
start, end = _keyword_bounds(keyword, tz)
return _iso_range(_midnight(start, tz), _midnight(end, tz))
def _precision_bounds(digits: str) -> tuple[date, date] | None:
"""
Map a 4/6/8-digit date token to (start, exclusive_end) calendar dates.
YYYY -> whole year, YYYYMM -> whole month, YYYYMMDD -> single day.
Returns None for any unparsable or out-of-range value (e.g. month 23),
so callers can emit a no-match clause instead of erroring (Whoosh parity).
"""
try:
if len(digits) == 4:
year = int(digits)
return date(year, 1, 1), date(year + 1, 1, 1)
if len(digits) == 6:
year, month = int(digits[:4]), int(digits[4:6])
start = date(year, month, 1)
end = date(year + 1, 1, 1) if month == 12 else date(year, month + 1, 1)
return start, end
if len(digits) == 8:
start = date(int(digits[:4]), int(digits[4:6]), int(digits[6:8]))
return start, start + timedelta(days=1)
except ValueError:
return None
return None
def _utc_bounds_for_field(
field: str,
start: date,
end: date,
tz: tzinfo,
) -> tuple[datetime, datetime]:
"""
Convert calendar-date bounds to UTC datetimes per the field's storage type.
For DateField (``created``) the bounds are UTC midnight (no offset). For
DateTimeField (``added``/``modified``) the bounds are local-tz midnight
converted to UTC, matching how each field is indexed.
"""
if field in _DATE_ONLY_FIELDS:
return (
datetime(start.year, start.month, start.day, tzinfo=UTC),
datetime(end.year, end.month, end.day, tzinfo=UTC),
)
return (
datetime(start.year, start.month, start.day, tzinfo=tz).astimezone(UTC),
datetime(end.year, end.month, end.day, tzinfo=tz).astimezone(UTC),
)
def _field_range_from_dates(field: str, start: date, end: date, tz: tzinfo) -> str:
"""Build a Tantivy ``field:[lo TO hi]`` ISO range from calendar-date bounds."""
lo, hi = _utc_bounds_for_field(field, start, end, tz)
return f"{field}:{_iso_range(lo, hi)}"
-54
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@@ -1,54 +0,0 @@
from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from collections.abc import Sequence
class SearchQueryError(ValueError):
"""
Base for user-fixable search query errors.
Carries a message safe to surface to the user (no internal details). The
view layer catches this and returns an HTTP 400, so any future subclass
gets the same treatment.
"""
class InvalidDateQuery(SearchQueryError):
"""Raised when a date field value or range bound cannot be parsed."""
def __init__(self, field: str | None, value: str | None) -> None:
self.field = field
self.value = value
super().__init__(f"Invalid date value {value!r} for field {field!r}.")
class InvalidNumberQuery(SearchQueryError):
"""Raised when a numeric field value or range bound cannot be parsed."""
def __init__(self, field: str | None, value: str | None) -> None:
self.field = field
self.value = value
super().__init__(f"Invalid numeric value {value!r} for field {field!r}.")
class MultipleSearchQueryErrors(SearchQueryError):
"""Aggregates every user-fixable error from one parse, not just the first."""
def __init__(self, errors: Sequence[SearchQueryError]) -> None:
self.errors = tuple(errors)
super().__init__("; ".join(str(e) for e in self.errors))
def search_query_error_messages(e: SearchQueryError) -> list[str]:
"""The user-facing message list for a SearchQueryError.
Every offending value's message, not just the first, so the user can
fix them all in one round-trip. Shared by every view that maps
SearchQueryError to an HTTP 400.
"""
if isinstance(e, MultipleSearchQueryErrors):
return [str(sub) for sub in e.errors]
return [str(e)]
-33
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@@ -1,33 +0,0 @@
from __future__ import annotations
from whoosh_compat import FieldKind
from whoosh_compat import FieldSpec
# Internal-only schema fields with no query-syntax meaning of their own
# (sort shadow fields, bigram CJK fields, simple_title/simple_content,
# autocomplete_word, notes_text) are NOT represented here — they stay
# hardcoded in _schema.py's build_schema().
#
# analyzer/pattern_normalizer are deliberately left at FieldSpec's default
# (None): they're language-specific and only meaningful to whoosh-compat's
# parser, so _registry.py attaches them per-language via dataclasses.replace()
# rather than PUBLIC_FIELDS declaring them itself. _schema.py only reads
# name/kind/fast and never sees the analyzer at all.
PUBLIC_FIELDS: tuple[FieldSpec, ...] = (
FieldSpec("title", FieldKind.TEXT),
FieldSpec("content", FieldKind.TEXT),
FieldSpec("correspondent", FieldKind.TEXT),
FieldSpec("document_type", FieldKind.TEXT, aliases=("type",)),
FieldSpec("storage_path", FieldKind.TEXT, aliases=("path",)),
FieldSpec("original_filename", FieldKind.TEXT),
FieldSpec("tag", FieldKind.TEXT, comma_values=True),
FieldSpec("checksum", FieldKind.KEYWORD),
FieldSpec("asn", FieldKind.U64, fast=True),
FieldSpec("page_count", FieldKind.U64, fast=True),
FieldSpec("num_notes", FieldKind.U64, fast=True),
FieldSpec("created", FieldKind.DATE, date_only=True, fast=True),
FieldSpec("modified", FieldKind.DATETIME, fast=True),
FieldSpec("added", FieldKind.DATETIME, fast=True),
FieldSpec("notes", FieldKind.JSON, subpaths=("user", "note")),
FieldSpec("custom_fields", FieldKind.JSON, subpaths=("name", "value")),
)
+121 -256
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@@ -6,24 +6,18 @@ from typing import Final
import regex
import tantivy
import whoosh_compat as wc
from django.conf import settings
from whoosh_compat.emitters.tantivy_ import emit as tantivy_emit
from whoosh_compat.errors import Diagnostic
from whoosh_compat.errors import DiagnosticKind
from whoosh_compat.errors import QueryError
from documents.search._errors import InvalidDateQuery
from documents.search._errors import InvalidNumberQuery
from documents.search._errors import MultipleSearchQueryErrors
from documents.search._errors import SearchQueryError
from documents.search._fields import PUBLIC_FIELDS
from documents.search._registry import get_field_registry
from documents.search._tokenizer import simple_search_tokens
from documents.search._translate import SearchQueryError
from documents.search._translate import translate_query
if TYPE_CHECKING:
from collections.abc import Iterable
from datetime import tzinfo
from django.contrib.auth.base_user import AbstractBaseUser
logger = logging.getLogger("paperless.search")
# Maximum seconds any single regex substitution may run.
@@ -34,97 +28,6 @@ _REGEX_TIMEOUT: Final[float] = 1.0
# Uses Unicode properties to cover all blocks including Extension B+ planes.
_CJK_RE: Final = regex.compile(r"[\p{Han}\p{Hiragana}\p{Katakana}\p{Hangul}]+")
# Multi-word date-keyword phrases whoosh-compat only accepts quoted.
# Unquoted has always been the honored spelling, so
# _quote_date_keyword_phrases below inserts the quotes and nothing else.
# Single-word keywords (today, yesterday) already parse unquoted.
_DATE_KEYWORD_PHRASES: Final = (
"previous week",
"previous month",
"previous quarter",
"previous year",
"this month",
"this year",
)
# Field names are case-sensitive (matching the parser's own field
# tagging); the keyword phrase is case-insensitive (matching the date
# grammar's leniency for the quoted form). Date fields derived from
# PUBLIC_FIELDS, never hand-listed.
_DATE_KEYWORD_PHRASE_RE: Final = regex.compile(
r"\b("
+ "|".join(
regex.escape(f.name)
for f in PUBLIC_FIELDS
if f.kind in (wc.FieldKind.DATE, wc.FieldKind.DATETIME)
)
+ r"):((?i:"
+ "|".join(_DATE_KEYWORD_PHRASES)
+ r"))\b",
)
def _quote_date_keyword_phrases(raw_query: str) -> str:
"""Quote unquoted multi-word date keyword phrases on date fields.
``added:previous month`` becomes ``added:"previous month"``; already-
quoted spellings, TEXT fields, and standalone words are untouched.
Only quoting happens here - every date computation stays in
whoosh-compat's grammar.
Not quote-aware: matches anywhere in raw_query, including inside an
existing quoted phrase (e.g. ``title:"see added:previous month
notes"`` would get quotes inserted mid-phrase). Accepted as an
unlikely-in-practice edge case rather than implementing quote-aware
scanning.
"""
return _DATE_KEYWORD_PHRASE_RE.sub(
r'\1:"\2"',
raw_query,
timeout=_REGEX_TIMEOUT,
)
# notes:/custom_fields: were valid fielded searches before this migration.
# whoosh-compat's registry only exposes them as JSON subpaths, so a bare
# prefix would demote to an unfielded text search. Rewrite live to the
# equivalent subpath (notes: -> notes.note:, custom_fields: ->
# custom_fields.value:); custom_fields.name: remains available separately.
# Not preceded by a word character or dot, so subpath spellings and words
# merely ending in the prefix are untouched.
_BARE_JSON_PREFIX_RES: Final = (
(regex.compile(r"(?<![.\w])notes:(?!\.)"), "notes.note:"),
(regex.compile(r"(?<![.\w])custom_fields:(?!\.)"), "custom_fields.value:"),
)
def _rewrite_bare_json_field_prefixes(raw_query: str) -> str:
"""Rewrite bare ``notes:``/``custom_fields:`` prefixes to their
subpath equivalents. Prefix substitution only, values untouched.
Not quote-aware, same accepted trade-off as
_quote_date_keyword_phrases: a literal ``notes:`` inside an existing
quoted phrase on an unrelated field would also get rewritten.
"""
for pattern, replacement in _BARE_JSON_PREFIX_RES:
raw_query = pattern.sub(replacement, raw_query, timeout=_REGEX_TIMEOUT)
return raw_query
def _user_facing_emit_message(d: Diagnostic) -> str:
"""A user-safe message for an emit-time QueryError's Diagnostic.
whoosh-compat's own Diagnostic.message is developer/log output with no
stability guarantee (branch on kind, never parse the message). Only
EXISTS_REQUIRES_FAST needs a distinct user-facing rewrite: its message
advises marking the field fast=True, a host configuration action the
user can't act on; the user just needs to know the search form is
unsupported here.
"""
if d.kind is DiagnosticKind.EXISTS_REQUIRES_FAST:
return "existence searches (field:*) are not supported for this field"
return d.message
def _has_cjk(text: str) -> bool:
"""Return True if text contains any CJK characters."""
@@ -157,94 +60,65 @@ def _build_cjk_query(
matches against unrelated Latin text). Returns None when there is no CJK
text or the parse fails.
"""
cjk_text = extract_cjk_text(raw_query)
cjk_text = " ".join(_CJK_RE.findall(raw_query))
if not cjk_text:
return None
try:
return index.parse_query(cjk_text, fields)
except Exception:
# Broad on purpose, unlike _try_parse_fuzzy_query's narrower
# ValueError: cjk_text isn't filtered to a guaranteed-safe token
# set the way the fuzzy blend's word string is, so the exact
# failure mode tantivy could raise here isn't pinned down.
logger.debug(
"Skipping CJK search clause: could not parse CJK text: %r",
cjk_text,
)
return None
# A joined fuzzy word string must stay plain words: any token that could
# read as tantivy query grammar (a colon, bracket, quote, operator...) is
# dropped rather than escaped. Today's default-field analyzers only emit
# word characters, so this never fires; it guards a future field whose
# analyzer passes punctuation through (an identity/keyword analyzer).
_WORD_TOKEN_RE = regex.compile(r"\w+")
def _try_parse_fuzzy_query(
index: tantivy.Index,
ast: wc.ast.Node,
registry: wc.FieldRegistry,
) -> tantivy.Query | None:
"""Build the fuzzy blend clause from the parsed query's free-text
words, or None if it has none.
The clause is built by handing tantivy's own query parser a plain
word string (there's no clean AST-level fuzzy equivalent to
whoosh-compat's parse tree, and fuzzy matching was always an
approximate, secondary, 0.1-boosted clause). The words come from
whoosh_compat's ``free_text_tokens`` over the already-parsed AST,
never from the raw query string: raw whoosh grammar (date keywords,
``[2005 to 2009]`` ranges, bracket-class wildcards) is not tantivy
syntax, and feeding it here used to knock the fuzzy clause out for
the whole query the moment any such construct appeared alongside a
typo'd word. The helper also keeps excluded terms out: a ``NOT``'d
word must not resurface through the fuzzy clause.
Chosen trade-off: a term explicitly fielded on one of the default
search fields (``correspondent:acme``) contributes its text to the
word string UNFIELDED, so the fuzzy clause searches it across all
default fields rather than just the one the user named. That is
recall-only widening on a secondary 0.1-boosted clause the score
threshold already disciplines, accepted in exchange for never feeding
field syntax to tantivy's parser.
The ValueError guard stays as insurance (the word string is plain
tokens, so tantivy accepting it is expected, not assumed): on a parse
failure the fuzzy clause is skipped and the exact/CJK clauses stand,
rather than the whole query failing.
def build_permission_filter(
schema: tantivy.Schema,
user: AbstractBaseUser,
viewer_group_ids: Iterable[int] = (),
) -> tantivy.Query:
"""
tokens = wc.free_text_tokens(ast, registry=registry, fields=_DEFAULT_SEARCH_FIELDS)
words = [t for t in tokens if _WORD_TOKEN_RE.fullmatch(t)]
if not words:
return None
fuzzy_text = " ".join(words)
try:
return index.parse_query(
fuzzy_text,
_DEFAULT_SEARCH_FIELDS,
field_boosts=_FIELD_BOOSTS,
fuzzy_fields={f: (True, 1, True) for f in _DEFAULT_SEARCH_FIELDS},
)
except ValueError:
logger.debug(
"Skipping fuzzy search clause: token string is not valid "
"tantivy query syntax: %r",
fuzzy_text,
)
return None
Build a query filter for user document permissions.
Creates a query that matches only documents visible to the specified user
according to paperless-ngx permission rules:
- Public documents (no owner) are visible to all users
- Private documents are visible to their owner
- Documents explicitly shared with the user are visible
- Documents shared with one of the user's current groups are visible
Args:
schema: Tantivy schema for field validation
user: User to check permissions for
viewer_group_ids: Current group memberships for the user
Returns:
Tantivy query that filters results to visible documents
"""
owner_any = tantivy.Query.exists_query("owner_id")
no_owner = tantivy.Query.boolean_query(
[
(tantivy.Occur.Must, tantivy.Query.all_query()),
(tantivy.Occur.MustNot, owner_any),
],
)
owned = tantivy.Query.term_query(schema, "owner_id", user.pk)
shared = tantivy.Query.term_query(schema, "viewer_id", user.pk)
group_shared = [
tantivy.Query.term_query(schema, "viewer_group_id", group_id)
for group_id in viewer_group_ids
]
return tantivy.Query.disjunction_max_query(
[no_owner, owned, shared, *group_shared],
)
_DEFAULT_SEARCH_FIELDS: Final[list[str]] = [
DEFAULT_SEARCH_FIELDS = [
"title",
"content",
"correspondent",
"document_type",
"tag",
]
_SIMPLE_SEARCH_FIELDS: Final[list[str]] = ["simple_title", "simple_content"]
_TITLE_SEARCH_FIELDS: Final[list[str]] = ["simple_title"]
SIMPLE_SEARCH_FIELDS = ["simple_title", "simple_content"]
TITLE_SEARCH_FIELDS = ["simple_title"]
_CJK_ALL_FIELDS: Final[list[str]] = [
"bigram_content",
"bigram_title",
@@ -258,14 +132,11 @@ _FIELD_BOOSTS = {"title": 2.0}
_SIMPLE_FIELD_BOOSTS = {"simple_title": 2.0}
def _any_of(clauses: list[tuple[tantivy.Occur, tantivy.Query]]) -> tantivy.Query:
"""Collapse a clause list: none -> empty, one -> itself (no wasted
single-clause boolean_query wrapping), many -> boolean_query(clauses)."""
if not clauses:
return tantivy.Query.empty_query()
if len(clauses) == 1:
return clauses[0][1]
return tantivy.Query.boolean_query(clauses)
def _simple_query_tokens(raw_query: str) -> list[str]:
# Tokenize and fold via the same analyzer used to index simple_title /
# simple_content, so query terms fold identically to the indexed terms
# (single source of truth for ASCII folding).
return simple_search_tokens(raw_query)
def _build_simple_token_query(
@@ -297,7 +168,9 @@ def _build_simple_token_query(
query = tantivy.Query.boost_query(query, boost)
field_queries.append((tantivy.Occur.Should, query))
return _any_of(field_queries)
if len(field_queries) == 1:
return field_queries[0][1]
return tantivy.Query.boolean_query(field_queries)
def parse_user_query(
@@ -306,53 +179,50 @@ def parse_user_query(
tz: tzinfo,
) -> tantivy.Query:
"""
Parse user query through whoosh-compat, then blend in fuzzy/CJK clauses.
Parse user query through the complete preprocessing pipeline.
1. Two small pre-parse rewrites keep historically honored spellings
working: unquoted multi-word date keyword phrases on date fields
are quoted (_quote_date_keyword_phrases), and bare
notes:/custom_fields: prefixes become their subpath equivalents
(_rewrite_bare_json_field_prefixes). Then wc.parse() against the
shared FieldRegistry (whoosh grammar -> AST).
2. Any diagnostics (bad dates/numbers) map to SearchQueryError subclasses
and raise — the view returns HTTP 400 with every offending field
listed, not just the first.
3. emit() turns the AST into a tantivy.Query directly (no string
round-trip). QueryError (a construct that parses but can't execute
against tantivy, e.g. a text-field range) also maps to a 400.
4. Optional fuzzy blend (ADVANCED_FUZZY_SEARCH_THRESHOLD) builds a
plain word string from the parsed AST's free-text tokens
(whoosh_compat.free_text_tokens) and feeds THAT to
index.parse_query — never raw_query, whose whoosh grammar (date
keywords, bracket-class wildcards, etc.) tantivy's parser rejects,
which used to silently knock the fuzzy clause out of any mixed
query (see _try_parse_fuzzy_query).
5. Optional CJK bigram clause — unchanged from before this migration,
never went through the pre-whoosh-compat translation layer either.
Transforms the raw user query through multiple stages:
1. Date keyword rewriting (today → ISO 8601 ranges)
2. Query normalization (comma expansion, whitespace cleanup)
3. Tantivy parsing with field boosts
4. Optional fuzzy query blending (if ADVANCED_FUZZY_SEARCH_THRESHOLD set)
Args:
index: Tantivy index with registered tokenizers
raw_query: Original user query string
tz: Timezone for date boundary calculations
Returns:
Parsed Tantivy query ready for execution
Note:
When ADVANCED_FUZZY_SEARCH_THRESHOLD is configured, adds a low-priority
fuzzy query as a Should clause (0.1 boost) to catch approximate matches
while keeping exact matches ranked higher. The threshold value is applied
as a post-search score filter, not during query construction.
"""
registry = get_field_registry(settings.SEARCH_LANGUAGE)
raw_query = _quote_date_keyword_phrases(raw_query)
raw_query = _rewrite_bare_json_field_prefixes(raw_query)
result = wc.parse(
raw_query,
registry=registry,
default_fields=_DEFAULT_SEARCH_FIELDS,
field_boosts=_FIELD_BOOSTS,
tz=tz,
)
if result.diagnostics:
raise _diagnostics_to_error(result.diagnostics)
try:
exact = tantivy_emit(result.ast, index=index, registry=registry)
except QueryError as e:
# emit()'s documented host contract: every reachable-from-query-text
# kind here (TEXT_RANGE, PATTERN_TOO_COMPLEX, EXISTS_REQUIRES_FAST)
# is a user-input error, exactly like a parse diagnostic, and maps
# to a 400. The AST_*/BACKEND_REJECTED backstop kinds cannot occur
# here: whoosh-compat only ever hands us the AST it parsed itself.
raise SearchQueryError(_user_facing_emit_message(e.diagnostic)) from e
query_str = translate_query(raw_query, tz)
except SearchQueryError:
# Intentional, user-fixable error (e.g. an unparsable date). Propagate so
# the view can return a 400 with a helpful message rather than falling
# back to the raw (still-invalid) query.
raise
except Exception: # pragma: no cover - defensive
logger.warning("Query translation failed; using raw query", exc_info=True)
query_str = raw_query
exact = index.parse_query(
query_str,
DEFAULT_SEARCH_FIELDS,
field_boosts=_FIELD_BOOSTS,
)
# The standard analyzer keeps a whitespace-free CJK run as a single token,
# so substring queries can't match content/title (and long runs are dropped
# by remove_long). Route CJK queries to the bigram fields, whose ngram
# tokenizer indexes overlapping 2-grams for substring matching.
cjk_query = (
_build_cjk_query(index, raw_query, _CJK_ALL_FIELDS)
if _has_cjk(raw_query)
@@ -365,36 +235,22 @@ def parse_user_query(
threshold = settings.ADVANCED_FUZZY_SEARCH_THRESHOLD
if threshold is not None:
fuzzy = _try_parse_fuzzy_query(index, result.ast, registry)
if fuzzy is not None:
clauses.append(
(tantivy.Occur.Should, tantivy.Query.boost_query(fuzzy, 0.1)),
)
fuzzy = index.parse_query(
query_str,
DEFAULT_SEARCH_FIELDS,
field_boosts=_FIELD_BOOSTS,
# (prefix=True, distance=1, transposition_cost_one=True) — edit-distance fuzziness
fuzzy_fields={f: (True, 1, True) for f in DEFAULT_SEARCH_FIELDS},
)
# 0.1 boost keeps fuzzy hits ranked below exact matches (intentional)
clauses.append((tantivy.Occur.Should, tantivy.Query.boost_query(fuzzy, 0.1)))
if cjk_query is not None:
clauses.append((tantivy.Occur.Should, cjk_query))
return _any_of(clauses)
def _diagnostics_to_error(diagnostics: tuple[Diagnostic, ...]) -> SearchQueryError:
errors = [_single_diagnostic_to_error(d) for d in diagnostics]
return errors[0] if len(errors) == 1 else MultipleSearchQueryErrors(errors)
def _single_diagnostic_to_error(d: Diagnostic) -> SearchQueryError:
# d.field is a FieldRef, not a str: str(d.field) gives the canonical
# dotted name (an aliased query, e.g. type:, reports document_type).
field_name = str(d.field) if d.field is not None else None
if d.kind is DiagnosticKind.BAD_DATE:
return InvalidDateQuery(field_name, d.raw_value)
if d.kind is DiagnosticKind.BAD_NUMBER:
return InvalidNumberQuery(field_name, d.raw_value)
# TOO_DEEP and UNSUPPORTED_PATTERN (e.g. a wildcard on asn/page_count/
# num_notes, or on a custom_fields.*/notes.* subpath) fall through to
# the generic message; consider whether either warrants its own typed
# subclass if callers ever need to distinguish them programmatically.
return SearchQueryError(d.message)
if len(clauses) == 1:
return exact
return tantivy.Query.boolean_query(clauses)
def parse_simple_query(
@@ -412,7 +268,7 @@ def parse_simple_query(
CJK substrings the simple analyzer can't (long whitespace-free runs are
dropped by remove_long).
"""
tokens = simple_search_tokens(raw_query)
tokens = _simple_query_tokens(raw_query)
clauses: list[tuple[tantivy.Occur, tantivy.Query]] = []
if tokens:
@@ -435,14 +291,23 @@ def parse_simple_query(
)
for token in tokens
]
clauses.append((tantivy.Occur.Should, _any_of(token_queries)))
simple_query = (
token_queries[0][1]
if len(token_queries) == 1
else tantivy.Query.boolean_query(token_queries)
)
clauses.append((tantivy.Occur.Should, simple_query))
if cjk_fields and _has_cjk(raw_query):
cjk_q = _build_cjk_query(index, raw_query, cjk_fields)
if cjk_q is not None:
clauses.append((tantivy.Occur.Should, cjk_q))
return _any_of(clauses)
if not clauses:
return tantivy.Query.empty_query()
if len(clauses) == 1:
return clauses[0][1]
return tantivy.Query.boolean_query(clauses)
def parse_simple_text_highlight_query(
@@ -457,7 +322,7 @@ def parse_simple_text_highlight_query(
# Strip Tantivy operator chars before tokenizing: this is a plain-text
# highlight query, not a structured boolean query, so +/- are separators.
tokens = simple_search_tokens(
tokens = _simple_query_tokens(
regex.sub(r"[-+]", " ", raw_query, timeout=_REGEX_TIMEOUT),
)
if not tokens:
@@ -477,7 +342,7 @@ def parse_simple_text_query(
return parse_simple_query(
index,
raw_query,
_SIMPLE_SEARCH_FIELDS,
SIMPLE_SEARCH_FIELDS,
cjk_fields=_CJK_CONTENT_FIELDS,
)
@@ -493,6 +358,6 @@ def parse_simple_title_query(
return parse_simple_query(
index,
raw_query,
_TITLE_SEARCH_FIELDS,
TITLE_SEARCH_FIELDS,
cjk_fields=_CJK_TITLE_FIELDS,
)
-56
View File
@@ -1,56 +0,0 @@
from __future__ import annotations
import dataclasses
from whoosh_compat import FieldKind
from whoosh_compat import FieldRegistry
from documents.search._fields import PUBLIC_FIELDS
from documents.search._tokenizer import ascii_fold
from documents.search._tokenizer import paperless_text_analyzer
_registry_cache: dict[str | None, FieldRegistry] = {}
def _identity_analyzer(text: str) -> list[str]:
"""Analyzer for KEYWORD fields indexed with the raw tokenizer (no splitting)."""
return [text]
def _pattern_normalizer(text: str) -> str:
"""Normalize wildcard/regex query patterns: lowercase -> ascii_fold.
Mirrors the lowercase -> ascii_fold steps of the index-time analyzers
(paperless_text) without stemming, so pattern queries (e.g. "run*")
match tokens that were folded the same way at index time but are not
run through a stemmer, which would corrupt wildcard/regex semantics.
"""
return ascii_fold(text.lower())
def get_field_registry(language: str | None) -> FieldRegistry:
"""Build (or return the cached) FieldRegistry for the given search language.
Cached keyed by language, rebuilt on the same trigger register_tokenizers()
uses (settings.SEARCH_LANGUAGE change) — a fresh call with a new language
builds and caches a new registry rather than mutating the old one.
"""
if language in _registry_cache:
return _registry_cache[language]
text_analyzer = paperless_text_analyzer(language).analyze
specs = [
dataclasses.replace(
field,
analyzer=_identity_analyzer
if field.kind is FieldKind.KEYWORD
else text_analyzer,
pattern_normalizer=_pattern_normalizer,
)
for field in PUBLIC_FIELDS
]
registry = FieldRegistry(specs)
_registry_cache[language] = registry
return registry
+25 -33
View File
@@ -9,9 +9,6 @@ from typing import cast
import tantivy
from django.conf import settings
from whoosh_compat import FieldKind
from documents.search._fields import PUBLIC_FIELDS
if TYPE_CHECKING:
from pathlib import Path
@@ -36,37 +33,17 @@ def build_schema() -> tantivy.Schema:
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 PUBLIC_FIELDS:
if field.kind is FieldKind.TEXT:
sb.add_text_field(field.name, stored=True, tokenizer_name="paperless_text")
elif field.kind is FieldKind.KEYWORD:
sb.add_text_field(field.name, stored=True, tokenizer_name="raw")
elif field.kind is FieldKind.U64:
sb.add_unsigned_field(
field.name,
stored=True,
indexed=True,
fast=field.fast,
)
elif field.kind in (FieldKind.DATE, FieldKind.DATETIME):
sb.add_date_field(
field.name,
stored=True,
indexed=True,
fast=field.fast,
)
elif field.kind is FieldKind.JSON:
sb.add_json_field(field.name, stored=True, tokenizer_name="paperless_text")
if field.name == "notes":
# Plain-text companion for snippet generation — tantivy's
# SnippetGenerator does not support JSON fields. Schema-only,
# no query-syntax meaning, not in PUBLIC_FIELDS.
sb.add_text_field(
"notes_text",
stored=True,
tokenizer_name="paperless_text",
)
for field in (
"title",
"correspondent",
"document_type",
"storage_path",
"original_filename",
"content",
):
sb.add_text_field(field, stored=True, tokenizer_name="paperless_text")
# Shadow sort fields - fast, not stored/indexed
for field in ("title_sort", "correspondent_sort", "type_sort"):
@@ -109,6 +86,15 @@ def build_schema() -> tantivy.Schema:
# The stored value is never read back, so storing it only wastes space.
sb.add_text_field("autocomplete_word", stored=False, tokenizer_name="raw")
sb.add_text_field("tag", stored=True, tokenizer_name="paperless_text")
# JSON fields — structured queries: notes.user:alice, custom_fields.name:invoice
sb.add_json_field("notes", stored=True, tokenizer_name="paperless_text")
# Plain-text companion for notes — tantivy's SnippetGenerator does not support
# JSON fields, so highlights require a text field with the same content.
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",
@@ -120,6 +106,12 @@ def build_schema() -> tantivy.Schema:
):
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()
+2 -2
View File
@@ -71,7 +71,7 @@ def register_tokenizers(index: tantivy.Index, language: str | None) -> None:
use fast=True and Tantivy requires fast-field tokenizers to exist
even for documents that omit those fields.
"""
index.register_tokenizer("paperless_text", paperless_text_analyzer(language))
index.register_tokenizer("paperless_text", _paperless_text(language))
index.register_tokenizer("simple_analyzer", _simple_analyzer())
index.register_tokenizer("bigram_analyzer", _bigram_analyzer())
index.register_tokenizer("simple_search_analyzer", _simple_search_analyzer())
@@ -79,7 +79,7 @@ def register_tokenizers(index: tantivy.Index, language: str | None) -> None:
index.register_fast_field_tokenizer("simple_analyzer", _simple_analyzer())
def paperless_text_analyzer(language: str | None) -> tantivy.TextAnalyzer:
def _paperless_text(language: str | None) -> tantivy.TextAnalyzer:
"""Main full-text tokenizer for content, title, etc: simple -> remove_long(129) -> lowercase -> ascii_fold [-> stemmer]"""
builder = (
tantivy.TextAnalyzerBuilder(tantivy.Tokenizer.simple())
+610
View File
@@ -0,0 +1,610 @@
from __future__ import annotations
from dataclasses import dataclass
from datetime import UTC
from datetime import datetime
from datetime import timedelta
from typing import TYPE_CHECKING
from typing import TypeAlias
import regex
from dateutil.relativedelta import relativedelta
from documents.search._dates import _DATE_KEYWORDS
from documents.search._dates import _DATE_ONLY_FIELDS
from documents.search._dates import _date_only_range
from documents.search._dates import _datetime_range
from documents.search._dates import _field_range_from_dates
from documents.search._dates import _fmt
from documents.search._dates import _precision_bounds
from documents.search._dates import _utc_bounds_for_field
# Compiled regex that matches any known multi-word (or single-word) date keyword
# at the start of a match position, longest alternatives first so "previous week"
# wins over a hypothetical shorter "previous".
_KEYWORD_VALUE_RE = regex.compile(
"|".join(sorted((regex.escape(k) for k in _DATE_KEYWORDS), key=len, reverse=True)),
regex.IGNORECASE,
)
if TYPE_CHECKING:
from datetime import tzinfo
# TODO: this module translates date queries into Tantivy *string* syntax, which
# forces a workaround for something Tantivy's string parser cannot express on
# date fields: open-ended ranges use far-past/far-future string sentinels
# (OPEN_LO/OPEN_HI). These can be replaced with a real tantivy.Query object
# (Query.range_query(..., None) for open bounds) once tantivy-py accepts Python
# datetimes in range_query/term_query on Date fields. That support exists on
# tantivy-py master (PRs #655 + #666) but postdates the pinned 0.26.0 wheel, so
# it is blocked only on a published release > 0.26.0 and a dependency bump.
# (Unparsable dates now raise InvalidDateQuery -> HTTP 400 rather than using a
# no-match string sentinel.)
# Fields that store exact, non-analyzed comma-joined tokens in the index and so
# need explicit comma->AND expansion (Whoosh KEYWORD(commas=True) set).
MULTI_VALUE_FIELDS = frozenset({"tag", "tag_id", "viewer_id"})
# Date fields whose values/ranges get rewritten to RFC3339 Tantivy ranges.
DATE_FIELDS = frozenset({"created", "modified", "added"})
# Field aliases: Whoosh (v2) field names that were renamed in the Tantivy schema.
# Preserved here so v2 queries using the old names continue to work without 400
# errors instead of silently failing. Applied by _render to non-date field tokens.
FIELD_ALIASES: dict[str, str] = {
"type": "document_type",
"type_id": "document_type_id",
"path": "storage_path",
"path_id": "storage_path_id",
}
# Known schema fields: a comma immediately followed by ``<known>:`` is a clause
# separator. Restricting to known fields prevents URL-like ``http:`` misfires.
KNOWN_FIELDS = frozenset(
{
"title",
"content",
"correspondent",
"document_type",
"type", # v2 alias -> document_type
"storage_path",
"path", # v2 alias -> storage_path
"tag",
"tag_id",
"correspondent_id",
"document_type_id",
"type_id", # v2 alias -> document_type_id
"storage_path_id",
"path_id", # v2 alias -> storage_path_id
"owner_id",
"viewer_id",
"asn",
"page_count",
"num_notes",
"created",
"modified",
"added",
"original_filename",
"checksum",
"notes",
"custom_fields",
},
)
_FIELD_RE = regex.compile(r"(?P<field>\w+):")
# Matches the TO separator inside a range bracket. Handles three forms:
# middle: "lo TO hi" (either lo or hi may be empty)
# trailing: "lo TO" (open upper bound)
# leading: "TO hi" (open lower bound)
# Bounds MAY contain internal spaces (e.g. "-7 days"), so we use .*? / .+?
# and split on the whitespace-delimited " TO " / " to " separator.
_RANGE_RE = regex.compile(
r"^\s*(?P<lo>.*?)\s+[Tt][Oo]\s+(?P<hi>.+?)\s*$"
r"|"
r"^\s*(?P<lo2>.+?)\s+[Tt][Oo]\s*$"
r"|"
r"^\s*[Tt][Oo]\s+(?P<hi2>.+?)\s*$",
)
@dataclass(frozen=True, slots=True)
class FieldValue:
field: str
value: str
# Produced by the comma-resolution pass (not by scan()).
@dataclass(frozen=True, slots=True)
class FieldValueList:
field: str
values: tuple[str, ...]
@dataclass(frozen=True, slots=True)
class FieldRange:
field: str
open: str
lo: str
hi: str
close: str
# Produced by the comma-resolution pass (not by scan()).
@dataclass(frozen=True, slots=True)
class Comma:
pass
@dataclass(frozen=True, slots=True)
class Passthrough:
raw: str
Token: TypeAlias = FieldValue | FieldValueList | FieldRange | Comma | Passthrough
_CLOSE: dict[str, str] = {"[": "]", "{": "}"}
def scan(query: str) -> list[Token]:
"""
Tokenize a raw query into date/comma-aware tokens, leaving everything else
as verbatim ``Passthrough`` runs. Non-recursive: finds the first matching
close bracket/quote. Nested brackets are not valid Tantivy range syntax and
pass through verbatim on mismatch.
"""
tokens: list[Token] = []
buf: list[str] = [] # accumulates passthrough chars
i, n = 0, len(query)
while i < n:
matched = _match_field_token(query, i)
if matched is None:
buf.append(query[i])
i += 1
continue
token, i = matched
if buf and buf[-1] == ",":
buf.pop()
_flush(buf, tokens)
tokens.append(Comma())
else:
_flush(buf, tokens)
tokens.append(token)
i = _maybe_comma(query, i, tokens)
_flush(buf, tokens)
return tokens
def _flush(buf: list[str], tokens: list[Token]) -> None:
"""Emit any accumulated passthrough characters as a single token."""
if buf:
tokens.append(Passthrough("".join(buf)))
buf.clear()
def _at_word_boundary(query: str, i: int) -> bool:
"""A field token may begin only at the start or after a non-word character."""
return i == 0 or not (query[i - 1].isalnum() or query[i - 1] == "_")
def _match_field_token(query: str, i: int) -> tuple[Token, int] | None:
"""
If a known ``field:`` token starts at ``i``, consume it and return
``(token, end_index)``; otherwise return None so the caller treats the
character as passthrough. Handles both ``field:[range]`` and ``field:value``,
and returns None when the range/value cannot be consumed.
"""
m = _FIELD_RE.match(query, i)
if m is None or m.group("field") not in KNOWN_FIELDS:
return None
if not _at_word_boundary(query, i):
return None
field = m.group("field")
j = m.end()
if j < len(query) and query[j] in "[{":
return _consume_range(query, j, field)
consumed = _consume_field_value(query, field, j)
if consumed is None:
return None
value, end = consumed
return FieldValue(field, value), end
def _consume_field_value(query: str, field: str, start: int) -> tuple[str, int] | None:
"""
Consume a field value starting at ``start``: a multi-word date keyword phrase
(date fields only), or a bare/quoted value, then absorb any comma-joined
continuation that is not a clause separator. ``resolve_commas`` later splits a
multi-value field's joined value into a ``FieldValueList``; for other fields
the comma stays literal.
"""
n = len(query)
consumed = None
if field in DATE_FIELDS:
km = _KEYWORD_VALUE_RE.match(query, start)
if km is not None and (km.end() >= n or query[km.end()] in " \t),"):
consumed = (km.group(0), km.end())
if consumed is None:
consumed = _consume_value(query, start)
if consumed is None:
return None
value, k = consumed
while k < n and query[k] == ",":
if _looks_like_known_field(query, k + 1):
break # clause separator: left for _maybe_comma to emit a Comma()
more = _consume_value(query, k + 1)
if more is None:
break
value = f"{value},{more[0]}"
k = more[1]
return value, k
def _consume_range(
query: str,
start: int,
field: str,
) -> tuple[FieldRange, int] | None:
"""Consume ``[lo TO hi]`` / ``{lo TO hi}`` from ``start`` (the bracket)."""
open_br = query[start]
close_br = _CLOSE[open_br]
end = query.find(close_br, start + 1)
if end == -1:
return None
inner = query[start + 1 : end]
m = _RANGE_RE.match(inner)
if m is not None:
if m.group("lo") is not None or m.group("hi") is not None:
# Middle form: "lo TO hi" (either may be empty string)
lo = (m.group("lo") or "").strip()
hi = (m.group("hi") or "").strip()
elif m.group("lo2") is not None:
# Trailing form: "lo TO"
lo = m.group("lo2").strip()
hi = ""
else:
# Leading form: "TO hi"
lo = ""
hi = (m.group("hi2") or "").strip()
else:
lo, hi = inner.strip(), ""
return FieldRange(field, open_br, lo, hi, close_br), end + 1
def _consume_value(query: str, start: int) -> tuple[str, int] | None:
"""Consume a bare or quoted field value from ``start``, stopping at comma."""
n = len(query)
if start >= n or query[start] in " \t":
return None
if query[start] in "\"'":
quote = query[start]
end = query.find(quote, start + 1)
if end == -1:
return None
return query[start : end + 1], end + 1
j = start
while j < n and query[j] not in " \t),":
j += 1
return query[start:j], j
def _looks_like_known_field(query: str, pos: int) -> bool:
"""True if a known ``field:`` token starts at ``pos``."""
m = _FIELD_RE.match(query, pos)
return bool(m and m.group("field") in KNOWN_FIELDS)
def _maybe_comma(query: str, i: int, tokens: list) -> int:
"""If a clause-separator comma follows at ``i``, emit ``Comma()`` and advance."""
if i < len(query) and query[i] == "," and _looks_like_known_field(query, i + 1):
tokens.append(Comma())
return i + 1
return i
def resolve_commas(tokens: list) -> list:
"""
Collapse value-list commas into ``FieldValueList`` and keep clause-separator
commas as ``Comma``. (Clause-sep commas are already emitted by ``scan`` via
the value-stop logic; this pass folds value-lists.)
"""
out: list = []
for tok in tokens:
if (
isinstance(tok, FieldValue)
and tok.field in MULTI_VALUE_FIELDS
and "," in tok.value
):
values = tuple(v for v in tok.value.split(",") if v)
out.append(FieldValueList(tok.field, values))
else:
out.append(tok)
return out
class SearchQueryError(ValueError):
"""
Base for user-fixable search query errors.
Carries a message safe to surface to the user (no internal details). The view
layer catches this and returns an HTTP 400, so any future subclass (unknown
field, malformed range, wrapped parser errors) gets the same treatment.
"""
class InvalidDateQuery(SearchQueryError):
"""Raised when a date field value or range bound cannot be parsed."""
def __init__(self, field: str, value: str) -> None:
self.field = field
self.value = value
super().__init__(f"Invalid date value {value!r} for field {field!r}.")
_DIGITS_RE = regex.compile(r"^\d{4}(?:\d{2}){0,2}$")
_ISO_RE = regex.compile(r"^\d{4}(?:-\d{2}(?:-\d{2})?)?$")
def translate_scalar(field: str, value: str, tz: tzinfo) -> str:
"""Translate a bare date-field value to a Tantivy range string."""
bare = value.strip("\"'").lower()
if bare in _DATE_KEYWORDS:
if field in _DATE_ONLY_FIELDS:
return f"{field}:{_date_only_range(bare, tz)}"
return f"{field}:{_datetime_range(bare, tz)}"
digits = value.replace("-", "")
if _DIGITS_RE.match(value) or _ISO_RE.match(value):
bounds = _precision_bounds(digits)
if bounds is None:
raise InvalidDateQuery(field, value)
return _field_range_from_dates(field, bounds[0], bounds[1], tz)
if regex.fullmatch(r"\d{14}", value):
try:
dt = datetime(
int(value[0:4]),
int(value[4:6]),
int(value[6:8]),
int(value[8:10]),
int(value[10:12]),
int(value[12:14]),
tzinfo=UTC,
)
except ValueError:
raise InvalidDateQuery(field, value) from None
iso = _fmt(dt)
return f"{field}:[{iso} TO {iso}]"
# Unrecognized shape -> tell the user their date is malformed rather than
# silently matching nothing or emitting invalid Tantivy syntax.
raise InvalidDateQuery(field, value)
# Open-bound sentinels for date ranges. These far-past/far-future strings allow
# open-ended ranges to be expressed as Tantivy string queries until tantivy-py
# exposes Query.range_query(..., None) on Date fields (see module TODO).
OPEN_LO = "0001-01-01T00:00:00Z"
OPEN_HI = "9999-12-31T23:59:59Z"
# Matches compact now-offset tokens like now-7d, now+1h, now-30m.
_NOW_COMPACT_RE = regex.compile(
r"^now(?P<sign>[+-])(?P<n>\d+)(?P<unit>[dhm])$",
regex.IGNORECASE,
)
# Matches "±N <unit>" Whoosh-style offsets (e.g. -7 days, -1 week, +3 hours).
# Whoosh's own date parser (qparser.dateparse.PlusMinus) additionally accepted
# abbreviated unit spellings (e.g. "yrs", "yr", "y", "mos", "wks", "hrs", "mins",
# "secs"); saved views/searches created under the old Whoosh backend can still
# contain those tokens (e.g. "-999yrs"), so they are accepted here too and
# normalized to a canonical unit via _UNIT_ALIASES below.
_NOW_SPACED_RE = regex.compile(
r"^(?P<sign>[+-])(?P<n>\d+)\s*"
r"(?P<unit>years|year|yrs|yr|ys|y"
r"|months|month|mons|mon|mos|mo"
r"|weeks|week|wks|wk|ws|w"
r"|days|day|dys|dy|ds|d"
r"|hours|hour|hrs|hr|hs|h"
r"|minutes|minute|mins|min|ms|m"
r"|seconds|second|secs|sec|s)$",
regex.IGNORECASE,
)
# Maps every accepted unit spelling (including Whoosh-era abbreviations) to the
# canonical unit name used as a key into the delta map in _resolve_relative_bound.
_UNIT_ALIASES: dict[str, str] = {
alias: canonical
for canonical, aliases in {
"year": ("years", "year", "yrs", "yr", "ys", "y"),
"month": ("months", "month", "mons", "mon", "mos", "mo"),
"week": ("weeks", "week", "wks", "wk", "ws", "w"),
"day": ("days", "day", "dys", "dy", "ds", "d"),
"hour": ("hours", "hour", "hrs", "hr", "hs", "h"),
"minute": ("minutes", "minute", "mins", "min", "ms", "m"),
"second": ("seconds", "second", "secs", "sec", "s"),
}.items()
for alias in aliases
}
def _resolve_relative_bound(token: str) -> datetime | None:
"""
Resolve a relative bound token to an exact UTC instant, or return None.
Supported forms:
- ``now`` -> current UTC instant
- ``now+/-<n>d/h/m`` -> now +/- timedelta (d=days, h=hours, m=minutes)
- ``±N <unit>`` -> now +/- delta; month/year use relativedelta;
unit also accepts Whoosh-era abbreviations
(e.g. "yrs", "mos", "wks", "hrs", "mins", "secs")
"""
stripped = token.strip()
low = stripped.lower()
now = datetime.now(UTC)
if low == "now":
return now
m = _NOW_COMPACT_RE.match(stripped)
if m:
sign = 1 if m.group("sign") == "+" else -1
n = int(m.group("n"))
unit = m.group("unit").lower()
delta = (
sign
* {
"d": timedelta(days=n),
"h": timedelta(hours=n),
"m": timedelta(minutes=n),
}[unit]
)
return now + delta
m = _NOW_SPACED_RE.match(stripped)
if m:
sign = 1 if m.group("sign") == "+" else -1
n = int(m.group("n"))
unit = _UNIT_ALIASES[m.group("unit").lower()]
delta_map: dict[str, timedelta | relativedelta] = {
"second": timedelta(seconds=n),
"minute": timedelta(minutes=n),
"hour": timedelta(hours=n),
"day": timedelta(days=n),
"week": timedelta(weeks=n),
"month": relativedelta(months=n),
"year": relativedelta(years=n),
}
return now - delta_map[unit] if sign == -1 else now + delta_map[unit]
return None
def _bound_datetimes(
field: str,
token: str,
tz: tzinfo,
) -> tuple[datetime, datetime] | None:
"""
Return (floor_dt, ceil_dt) UTC datetimes for a single range bound token, or
None if the token is unparsable. ``now`` and relative offsets resolve to the
current instant (floor == ceil == that instant; no day-flooring).
"""
token = token.strip()
# Try relative/now forms first (before stripping hyphens which would mangle them).
rel = _resolve_relative_bound(token)
if rel is not None:
return rel, rel
# Full ISO datetime token (contains "T"): parse directly and return an exact
# instant (floor == ceil). Python 3.11+ datetime.fromisoformat accepts trailing Z.
if "T" in token:
try:
dt = datetime.fromisoformat(token)
# Ensure timezone-aware UTC result.
dt = dt.replace(tzinfo=UTC) if dt.tzinfo is None else dt.astimezone(UTC)
return dt, dt
except ValueError:
return None
digits = token.replace("-", "")
bounds = _precision_bounds(digits)
if bounds is None:
return None
start, end = bounds
return _utc_bounds_for_field(field, start, end, tz)
def _render(tok: Token, tz: tzinfo) -> str:
"""Render a single token back to a Tantivy query string fragment."""
if isinstance(tok, Passthrough):
return tok.raw
if isinstance(tok, Comma):
return " AND "
if isinstance(tok, FieldValueList):
field = FIELD_ALIASES.get(tok.field, tok.field)
return " AND ".join(f"{field}:{v}" for v in tok.values)
if isinstance(tok, FieldValue):
field = FIELD_ALIASES.get(tok.field, tok.field)
if field in DATE_FIELDS:
return translate_scalar(field, tok.value, tz)
return f"{field}:{tok.value}"
if isinstance(tok, FieldRange):
field = FIELD_ALIASES.get(tok.field, tok.field)
if field in DATE_FIELDS:
return translate_range(field, tok.lo, tok.hi, tz)
return f"{field}:{tok.open}{tok.lo} TO {tok.hi}{tok.close}"
return "" # pragma: no cover
# Post-render operator normalization patterns: collapse repeated whitespace and
# strip spaced/trailing Tantivy boolean operators that would otherwise be invalid.
_MULTI_SPACE_RE = regex.compile(r" {2,}")
_TRAILING_OP_RE = regex.compile(r"\s+[-+]+\s*$")
_SPACED_OP_RE = regex.compile(r"\s+[-+]\s+")
def _normalize_operators(text: str) -> str:
"""
Collapse multiple spaces, strip trailing dangling operators, and replace
spaced operators (`` - `` / `` + ``) with a single space.
Applied only to Passthrough fragments (the rendered output is scanned for
operator artifacts outside bracketed ranges) via a post-render pass on the
full rendered string. This preserves date ranges (``[... TO ...]``) verbatim
while cleaning natural-language separators in the surrounding text.
"""
text = _MULTI_SPACE_RE.sub(" ", text)
text = _TRAILING_OP_RE.sub("", text).strip()
text = _SPACED_OP_RE.sub(" ", text).strip()
return text
def translate_query(raw: str, tz: tzinfo) -> str:
"""Translate a raw Whoosh-style query into Tantivy-compatible syntax."""
tokens = resolve_commas(scan(raw))
rendered = "".join(_render(t, tz) for t in tokens)
return _normalize_operators(rendered)
def translate_range(field: str, lo: str, hi: str, tz: tzinfo) -> str:
"""Translate a date-field ``[lo TO hi]`` range to a Tantivy ISO range string.
Handles partial-date bounds (YYYY, YYYYMM, YYYYMMDD, ISO dash variants),
open bounds (empty string -> OPEN_LO/OPEN_HI), ``now``, and reversed ranges
(swaps tokens before computing floor/ceil so the span is always correct).
"""
lo_s = lo.strip()
hi_s = hi.strip()
# Parse both bounds to (floor, ceil) pairs when present.
lo_pair: tuple[datetime, datetime] | None = None
hi_pair: tuple[datetime, datetime] | None = None
if lo_s:
lo_pair = _bound_datetimes(field, lo_s, tz)
if lo_pair is None:
raise InvalidDateQuery(field, lo_s)
if hi_s:
hi_pair = _bound_datetimes(field, hi_s, tz)
if hi_pair is None:
raise InvalidDateQuery(field, hi_s)
# Detect a reversed range: only swap when BOTH bounds are present.
if lo_pair is not None and hi_pair is not None and lo_pair[0] > hi_pair[0]:
lo_pair, hi_pair = hi_pair, lo_pair
lo_iso = _fmt(lo_pair[0]) if lo_pair is not None else OPEN_LO
# A bound resolves to (floor, ceil) where floor == ceil for an exact instant
# (a full ISO datetime, "now", or a "+/-N unit" offset) and floor != ceil for
# a coarser period token (year/month/day precision). Only the latter needs a
# half-open close: its ceil is the start of the *next* period and must be
# excluded, or that instant (e.g. the 1st of next month) wrongly matches.
if hi_pair is not None:
hi_iso = _fmt(hi_pair[1])
hi_close = "]" if hi_pair[0] == hi_pair[1] else "}"
else:
hi_iso = OPEN_HI
hi_close = "]"
return f"{field}:[{lo_iso} TO {hi_iso}{hi_close}"
@@ -1,483 +0,0 @@
"""Result-level acceptance corpus: real documents indexed via build_schema(),
real queries run through parse_user_query(), matched-document-ID sets
asserted — not intermediate ASTs or query strings. This is paperless-ngx's
analogue of whoosh-compat's own tests/emitter/test_acceptance_e2e.py.
Supersedes test_query.py's TestParseUserQuery result-level cases.
"""
from __future__ import annotations
from datetime import UTC
from datetime import datetime
from typing import TYPE_CHECKING
import pytest
import time_machine
from django.contrib.auth.models import User
from documents.models import CustomField
from documents.models import CustomFieldInstance
from documents.models import Document
from documents.models import DocumentType
from documents.models import Note
from documents.models import StoragePath
from documents.search._query import parse_user_query
if TYPE_CHECKING:
from documents.search._backend import TantivyBackend
pytestmark = [pytest.mark.search, pytest.mark.django_db]
FROZEN_NOW = datetime(2026, 6, 15, 12, 0, tzinfo=UTC)
def _matched_ids(backend: TantivyBackend, query: str) -> set[int]:
return set(backend.search_ids(query, user=None))
def _index(backend: TantivyBackend, **kwargs: object) -> Document:
"""Create a Document and index it in one step, for the common case
where nothing needs to happen between the two (no related Note/
CustomFieldInstance to attach first)."""
doc = Document.objects.create(**kwargs)
backend.add_or_update(doc)
return doc
@pytest.fixture
def indexed_documents(backend: TantivyBackend) -> dict[str, int]:
"""Index a small fixture set, return {label: doc_id} for corpus queries."""
docs = {
"invoice_2020": _index(
backend,
title="Invoice 2020",
content="invoice total due",
checksum="acc-invoice-2020",
archive_serial_number=100,
),
"invoice_2021": _index(
backend,
title="Invoice 2021",
content="invoice total due",
checksum="acc-invoice-2021",
archive_serial_number=101,
),
"invoice_2023": _index(
backend,
title="Invoice 2023",
content="invoice total due",
checksum="acc-invoice-2023",
archive_serial_number=102,
),
"receipt_2022": _index(
backend,
title="Receipt 2022",
content="receipt total due",
checksum="acc-receipt-2022",
archive_serial_number=103,
),
}
return {label: doc.pk for label, doc in docs.items()}
class TestIssue13568BracketWildcard:
"""paperless-ngx#13568: title:202[0-3]* must keep its character class,
not fold to a prefix query that silently drops it."""
def test_bracket_class_wildcard_matches_only_in_range_years(
self,
backend: TantivyBackend,
indexed_documents: dict[str, int],
) -> None:
# [0-1] (not [0-3]) is deliberate: the fixture's four years are
# 2020/2021/2022/2023, i.e. their trailing digit is 0/1/2/3
# respectively - a [0-3] class would match all four and the test
# would pass even if the character class were silently dropped and
# folded to an unconstrained "202*" prefix. [0-1] partitions the
# fixture into a genuine in-range/out-of-range split.
matched = _matched_ids(backend, "title:202[0-1]*")
expected = {
indexed_documents["invoice_2020"],
indexed_documents["invoice_2021"],
}
assert matched == expected, (
"title:202[0-1]* must match 2020/2021 titles and exclude 2022/2023 "
"- if this matches everything, the wildcard's character class was "
"silently dropped (issue #13568's original bug)"
)
class TestFieldBoosts:
def test_title_boost_ranks_title_match_above_content_only_match(
self,
backend: TantivyBackend,
) -> None:
title_match = _index(
backend,
title="urgent",
content="nothing else relevant",
checksum="acc-boost-title",
)
_index(
backend,
title="nothing",
content="urgent matter here",
checksum="acc-boost-content",
)
query = parse_user_query(backend._index, "urgent", UTC)
searcher = backend._index.searcher()
results = searcher.search(query, limit=10)
ranked_ids = [
searcher.doc(addr).to_dict()["id"][0] for _score, addr in results.hits
]
assert ranked_ids[0] == title_match.pk
class TestJsonSubpaths:
def test_notes_user_matches_document_with_that_note_author(
self,
backend: TantivyBackend,
) -> None:
alice = User.objects.create_user(username="alice")
doc_with_note = Document.objects.create(
title="Has note",
content="x",
checksum="acc-note-with",
)
Note.objects.create(document=doc_with_note, user=alice, note="reminder")
backend.add_or_update(doc_with_note)
_index(backend, title="No note", content="x", checksum="acc-note-without")
matched = _matched_ids(backend, "notes.user:alice")
assert matched == {doc_with_note.pk}
def test_custom_fields_name_and_value_combine(
self,
backend: TantivyBackend,
) -> None:
field = CustomField.objects.create(
name="Contract Number",
data_type=CustomField.FieldDataType.STRING,
)
other_field = CustomField.objects.create(
name="Other Field",
data_type=CustomField.FieldDataType.STRING,
)
matching = Document.objects.create(
title="Matching",
content="x",
checksum="acc-cf-matching",
)
CustomFieldInstance.objects.create(
document=matching,
field=field,
value_text="policy",
)
backend.add_or_update(matching)
non_matching = Document.objects.create(
title="Non-matching",
content="x",
checksum="acc-cf-nonmatching",
)
CustomFieldInstance.objects.create(
document=non_matching,
field=other_field,
value_text="policy",
)
backend.add_or_update(non_matching)
matched = _matched_ids(
backend,
'custom_fields.name:"Contract Number" custom_fields.value:policy',
)
assert matched == {matching.pk}
class TestUnregisteredIdFieldFoldsToLiteralText:
"""tag_id, owner_id, etc. are intentionally excluded from the
FieldRegistry - always internal index columns, never meant to be
query-addressable. Prove an unregistered field folds to a literal
text search that matches nothing, rather than erroring."""
def test_tag_id_query_matches_nothing(
self,
backend: TantivyBackend,
indexed_documents: dict[str, int],
) -> None:
matched = _matched_ids(backend, "tag_id:5")
assert matched == set()
class TestFuzzyBlendSurvivesWhooshGrammar:
"""A query mixing whoosh-only grammar (a date keyword) with a typo'd
free-text word must still fuzzy-match the intended document when
ADVANCED_FUZZY_SEARCH_THRESHOLD is enabled. The fuzzy clause is built
from the parsed query's free-text tokens (whoosh_compat's
free_text_tokens), never from the raw query string, so whoosh grammar
that tantivy's own parser rejects cannot knock the fuzzy clause out."""
def test_typo_fuzzy_matches_alongside_date_keyword(
self,
backend: TantivyBackend,
settings,
) -> None:
settings.ADVANCED_FUZZY_SEARCH_THRESHOLD = 0.5
with time_machine.travel(FROZEN_NOW, tick=False):
doc = _index(
backend,
title="Receipt March",
content="receipt total due",
checksum="fuzzy-blend-1",
archive_serial_number=900,
)
# Sanity: the exact spelling matches through the exact clause.
assert doc.pk in _matched_ids(backend, "added:today receipt")
# The regression: the misspelling (one transposition) only
# matches via the fuzzy clause, and "added:today" is
# whoosh-only grammar tantivy's parser rejects, so raw-string
# fuzzy parsing skips the clause entirely and this returns
# nothing. The typo is deliberate; keep codespell away from it.
typo_query = "added:today reciept" # codespell:ignore reciept
assert doc.pk in _matched_ids(backend, typo_query)
def test_negated_words_do_not_fuzzy_match(
self,
backend: TantivyBackend,
settings,
) -> None:
# A term the user excluded must not resurface through the fuzzy
# clause. The shape is chosen so this genuinely discriminates: the
# indexed document contains the NOT'd word but NOT the positive
# word, so nothing matches the exact clause, and a fuzzy string
# naively built from ALL words (including the NOT'd one) would
# make this document the sole hit, normalize its score to 1.0,
# and survive any threshold. (A shape with an exact-matching
# sibling document does NOT discriminate: normalization ranks the
# resurfaced doc far below the exact match and the threshold cuts
# it even for a naive implementation.)
settings.ADVANCED_FUZZY_SEARCH_THRESHOLD = 0.5
with time_machine.travel(FROZEN_NOW, tick=False):
_index(
backend,
title="Receipt Archive",
content="receipt archived stack",
checksum="fuzzy-blend-2",
archive_serial_number=901,
)
assert _matched_ids(backend, "added:today total NOT receipt") == set()
class TestUnquotedDateKeywordPhrases:
"""The unquoted spelling (added:previous month) has always been
honored via an app-level quoting assist, since whoosh-compat's parser
only accepts the quoted form natively. paperless quotes the closed
phrase vocabulary on date fields before parsing; every date
computation still happens in whoosh-compat."""
@pytest.fixture
def period_documents(self, backend: TantivyBackend) -> dict[str, int]:
with time_machine.travel(FROZEN_NOW, tick=False):
in_may = _index(
backend,
title="May Doc",
content="statement",
checksum="kw-may",
archive_serial_number=910,
added=datetime(2026, 5, 20, 12, 0, tzinfo=UTC),
)
in_june = _index(
backend,
title="June Doc",
content="statement",
checksum="kw-june",
archive_serial_number=911,
added=datetime(2026, 6, 10, 12, 0, tzinfo=UTC),
)
return {"in_may": in_may.pk, "in_june": in_june.pk}
@pytest.mark.parametrize(
"query",
[
pytest.param("added:previous month", id="unquoted"),
pytest.param('added:"previous month"', id="quoted"),
pytest.param("added:Previous Month", id="unquoted-mixed-case"),
],
)
def test_unquoted_matches_the_same_documents_as_quoted(
self,
backend: TantivyBackend,
period_documents: dict[str, int],
query: str,
) -> None:
with time_machine.travel(FROZEN_NOW, tick=False):
assert _matched_ids(backend, query) == {period_documents["in_may"]}
@pytest.mark.parametrize(
"query",
[
pytest.param("added:this month", id="this-month"),
pytest.param("added:this year", id="this-year"),
pytest.param("added:previous week", id="previous-week"),
pytest.param("added:previous quarter", id="previous-quarter"),
pytest.param("added:previous year", id="previous-year"),
pytest.param("created:previous month", id="created-field"),
pytest.param("modified:previous month", id="modified-field"),
],
)
def test_every_phrase_and_date_field_parses_without_error(
self,
backend: TantivyBackend,
period_documents: dict[str, int],
query: str,
) -> None:
# The whole vocabulary times every date field must at least parse
# and search cleanly (no SearchQueryError -> no HTTP 400); exact
# window semantics are whoosh-compat's, pinned in its own suite.
with time_machine.travel(FROZEN_NOW, tick=False):
_matched_ids(backend, query)
def test_text_field_keyword_words_are_not_rewritten(
self,
backend: TantivyBackend,
period_documents: dict[str, int],
) -> None:
# "previous month" after a TEXT field (or unfielded) is ordinary
# text, not a date phrase: a title actually containing the words
# matches, and the date-window documents do not.
with time_machine.travel(FROZEN_NOW, tick=False):
wordy = _index(
backend,
title="Notes from the previous month",
content="meeting notes",
checksum="kw-text",
archive_serial_number=912,
)
assert _matched_ids(backend, "title:previous month") == {wordy.pk}
class TestBareJsonFieldPrefixes:
""" "notes:foo"/"custom_fields:foo" were valid fielded searches before
this migration. whoosh-compat's registry only exposes them as JSON
subpaths, so parse_user_query rewrites the bare prefixes live: notes:
-> notes.note:, custom_fields: -> custom_fields.value:."""
def test_bare_notes_prefix_searches_note_text(
self,
backend: TantivyBackend,
) -> None:
alice = User.objects.create_user(username="alice")
with_note = Document.objects.create(
title="Has note",
content="x",
checksum="bare-notes-with",
)
Note.objects.create(document=with_note, user=alice, note="crocodile")
backend.add_or_update(with_note)
# This document's CONTENT contains the words a demoted text search
# would match; it must NOT match once the prefix addresses notes.
_index(
backend,
title="Notes about things",
content="notes crocodile mention",
checksum="bare-notes-decoy",
)
assert _matched_ids(backend, "notes:crocodile") == {with_note.pk}
def test_bare_custom_fields_prefix_searches_values(
self,
backend: TantivyBackend,
) -> None:
field = CustomField.objects.create(
name="Policy Number",
data_type=CustomField.FieldDataType.STRING,
)
with_value = Document.objects.create(
title="Has field",
content="x",
checksum="bare-cf-with",
)
CustomFieldInstance.objects.create(
document=with_value,
field=field,
value_text="crocodile",
)
backend.add_or_update(with_value)
_index(
backend,
title="Custom things",
content="custom fields crocodile",
checksum="bare-cf-decoy",
)
assert _matched_ids(backend, "custom_fields:crocodile") == {with_value.pk}
def test_subpath_spellings_are_untouched(
self,
backend: TantivyBackend,
) -> None:
bob = User.objects.create_user(username="bob")
doc = Document.objects.create(
title="Bob note",
content="x",
checksum="bare-subpath",
)
Note.objects.create(document=doc, user=bob, note="remark")
backend.add_or_update(doc)
assert _matched_ids(backend, "notes.user:bob") == {doc.pk}
assert _matched_ids(backend, "notes.note:remark") == {doc.pk}
class TestFieldAliases:
"""type:/path: are registry aliases for document_type:/storage_path:.
The only other alias coverage is parse-shape; these prove resolution
end-to-end against a real index."""
def test_type_alias_and_canonical_name_match_the_same_document(
self,
backend: TantivyBackend,
) -> None:
invoice_type = DocumentType.objects.create(name="invoice")
# Discriminating shape: document_type is itself a default search
# field, so if alias resolution ever broke and "type:invoice"
# demoted to unfielded text, the token would STILL match the typed
# document through the field value. The decoy carries the query
# word in content, so a demoted search matches BOTH documents and
# the exact-set assertions fail. (The title avoids stemming to
# "type": english stems Typed -> type.)
typed = _index(
backend,
title="First",
content="quarterly statement",
checksum="alias-type-1",
document_type=invoice_type,
)
_index(
backend,
title="Second",
content="invoice mentioned in body",
checksum="alias-type-2",
)
assert _matched_ids(backend, "type:invoice") == {typed.pk}
assert _matched_ids(backend, "document_type:invoice") == {typed.pk}
def test_path_alias_and_canonical_name_match_the_same_document(
self,
backend: TantivyBackend,
) -> None:
archive = StoragePath.objects.create(name="archive", path="archive/{title}")
stored = _index(
backend,
title="Stored",
content="quarterly statement",
checksum="alias-path-1",
storage_path=archive,
)
# storage_path is NOT a default search field today, so a demoted
# "path:archive" already matches nothing; the content decoy keeps
# this test discriminating even if it ever joins the defaults.
_index(
backend,
title="Loose",
content="archive mentioned in body",
checksum="alias-path-2",
)
assert _matched_ids(backend, "path:archive") == {stored.pk}
assert _matched_ids(backend, "storage_path:archive") == {stored.pk}
-68
View File
@@ -1,68 +0,0 @@
import pytest
from whoosh_compat import FieldKind
from documents.search._fields import PUBLIC_FIELDS
BY_NAME = {f.name: f for f in PUBLIC_FIELDS}
class TestPublicFields:
def test_every_field_has_a_whoosh_compat_kind(self) -> None:
for field in PUBLIC_FIELDS:
assert isinstance(field.kind, FieldKind)
def test_names_are_unique(self) -> None:
names = [f.name for f in PUBLIC_FIELDS]
assert len(names) == len(set(names))
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"
def test_non_json_fields_have_no_subpaths(self) -> None:
for field in PUBLIC_FIELDS:
if field.kind is not FieldKind.JSON:
assert not field.subpaths
@pytest.mark.parametrize(
("name", "attr", "expected"),
[
pytest.param(
"document_type",
"aliases",
("type",),
id="document_type-aliases",
),
pytest.param(
"storage_path",
"aliases",
("path",),
id="storage_path-aliases",
),
pytest.param("tag", "comma_values", True, id="tag-comma_values"),
pytest.param(
"notes",
"subpaths",
{"user", "note"},
id="notes-subpaths",
),
pytest.param(
"custom_fields",
"subpaths",
{"name", "value"},
id="custom_fields-subpaths",
),
],
)
def test_field_attributes(self, name: str, attr: str, expected: object) -> None:
actual = getattr(BY_NAME[name], attr)
if attr == "subpaths":
actual = set(actual)
assert actual == expected
def test_no_internal_id_fields_present(self) -> None:
# tag_id/owner_id/viewer_id/etc. are permission-filter-only fields,
# never user-query-addressable (see design spec, "Field surface").
names = {f.name for f in PUBLIC_FIELDS}
assert not any(name.endswith("_id") for name in names)
+680 -152
View File
@@ -1,75 +1,448 @@
from __future__ import annotations
import re
from datetime import UTC
from datetime import datetime
from datetime import tzinfo
from typing import TYPE_CHECKING
from zoneinfo import ZoneInfo
import pytest
import tantivy
import time_machine
from documents.search._backend import build_permission_filter
from documents.search._errors import InvalidDateQuery
from documents.search._errors import InvalidNumberQuery
from documents.search._errors import MultipleSearchQueryErrors
from documents.search._errors import SearchQueryError
from documents.search._dates import _date_only_range
from documents.search._dates import _datetime_range
from documents.search._query import build_permission_filter
from documents.search._query import parse_simple_text_highlight_query
from documents.search._query import parse_user_query
from documents.search._schema import build_schema
from documents.search._tokenizer import register_tokenizers
from documents.search._translate import InvalidDateQuery
from documents.search._translate import translate_query
if TYPE_CHECKING:
from django.contrib.auth.base_user import AbstractBaseUser
pytestmark = pytest.mark.search
EASTERN = ZoneInfo("America/New_York") # UTC-5 / UTC-4 (DST)
AUCKLAND = ZoneInfo("Pacific/Auckland") # UTC+13 in southern-hemisphere summer
@pytest.fixture(scope="module")
def query_index() -> tantivy.Index:
"""An in-memory, unstemmed index shared read-only across this module's
parse-only tests (none of them index documents)."""
schema = build_schema()
idx = tantivy.Index(schema, path=None)
register_tokenizers(idx, "")
return idx
def _range(result: str, field: str) -> tuple[str, str]:
# Half-open period ranges close with "}" (exclusive); exact-instant ranges
# (full ISO datetimes, "now", relative offsets) close with "]" (inclusive).
m = re.search(rf"{field}:\[(.+?) TO (.+?)[\]}}]", result)
assert m, f"No range for {field!r} in: {result!r}"
return m.group(1), m.group(2)
class TestCreatedDateField:
"""
created is a Django DateField: indexed as midnight UTC of the local calendar
date. No offset arithmetic needed - the local calendar date is what matters.
"""
@pytest.mark.parametrize(
("tz", "expected_lo", "expected_hi"),
[
pytest.param(UTC, "2026-03-28T00:00:00Z", "2026-03-29T00:00:00Z", id="utc"),
pytest.param(
EASTERN,
"2026-03-28T00:00:00Z",
"2026-03-29T00:00:00Z",
id="eastern_same_calendar_date",
),
],
)
@time_machine.travel(datetime(2026, 3, 28, 15, 30, tzinfo=UTC), tick=False)
def test_today(self, tz: tzinfo, expected_lo: str, expected_hi: str) -> None:
lo, hi = _range(translate_query("created:today", tz), "created")
assert lo == expected_lo
assert hi == expected_hi
@time_machine.travel(datetime(2026, 3, 28, 3, 0, tzinfo=UTC), tick=False)
def test_today_auckland_ahead_of_utc(self) -> None:
# UTC 03:00 -> Auckland (UTC+13) = 16:00 same date; local date = 2026-03-28
lo, _ = _range(
translate_query("created:today", AUCKLAND),
"created",
)
assert lo == "2026-03-28T00:00:00Z"
@pytest.mark.parametrize(
("field", "keyword", "expected_lo", "expected_hi"),
[
pytest.param(
"created",
"yesterday",
"2026-03-27T00:00:00Z",
"2026-03-28T00:00:00Z",
id="yesterday",
),
pytest.param(
"created",
"previous week",
"2026-03-16T00:00:00Z",
"2026-03-23T00:00:00Z",
id="previous_week",
),
pytest.param(
"created",
"this month",
"2026-03-01T00:00:00Z",
"2026-04-01T00:00:00Z",
id="this_month",
),
pytest.param(
"created",
"previous month",
"2026-02-01T00:00:00Z",
"2026-03-01T00:00:00Z",
id="previous_month",
),
pytest.param(
"created",
"this year",
"2026-01-01T00:00:00Z",
"2027-01-01T00:00:00Z",
id="this_year",
),
pytest.param(
"created",
"previous year",
"2025-01-01T00:00:00Z",
"2026-01-01T00:00:00Z",
id="previous_year",
),
],
)
@time_machine.travel(datetime(2026, 3, 28, 15, 0, tzinfo=UTC), tick=False)
def test_date_keywords(
self,
field: str,
keyword: str,
expected_lo: str,
expected_hi: str,
) -> None:
# 2026-03-28 is Saturday; Mon-Sun week calculation built into expectations
query = f"{field}:{keyword}"
lo, hi = _range(translate_query(query, UTC), field)
assert lo == expected_lo
assert hi == expected_hi
@time_machine.travel(datetime(2026, 12, 15, 12, 0, tzinfo=UTC), tick=False)
def test_this_month_december_wraps_to_next_year(self) -> None:
# December: next month must roll over to January 1 of next year
lo, hi = _range(
translate_query("created:this month", UTC),
"created",
)
assert lo == "2026-12-01T00:00:00Z"
assert hi == "2027-01-01T00:00:00Z"
@time_machine.travel(datetime(2026, 1, 15, 12, 0, tzinfo=UTC), tick=False)
def test_last_month_january_wraps_to_previous_year(self) -> None:
# January: last month must roll back to December 1 of previous year
lo, hi = _range(
translate_query("created:previous month", UTC),
"created",
)
assert lo == "2025-12-01T00:00:00Z"
assert hi == "2026-01-01T00:00:00Z"
@time_machine.travel(datetime(2026, 7, 15, 12, 0, tzinfo=UTC), tick=False)
def test_previous_quarter(self) -> None:
lo, hi = _range(
translate_query('created:"previous quarter"', UTC),
"created",
)
assert lo == "2026-04-01T00:00:00Z"
assert hi == "2026-07-01T00:00:00Z"
def test_unknown_keyword_raises(self) -> None:
with pytest.raises(ValueError, match="Unknown keyword"):
_date_only_range("bogus_keyword", UTC)
class TestDateTimeFields:
"""
added/modified store full UTC datetimes. Natural keywords must convert
the local day boundaries to UTC - timezone offset arithmetic IS required.
"""
@time_machine.travel(datetime(2026, 3, 28, 15, 30, tzinfo=UTC), tick=False)
def test_added_today_eastern(self) -> None:
# EDT = UTC-4; local midnight 2026-03-28 00:00 EDT = 2026-03-28 04:00 UTC
lo, hi = _range(translate_query("added:today", EASTERN), "added")
assert lo == "2026-03-28T04:00:00Z"
assert hi == "2026-03-29T04:00:00Z"
@time_machine.travel(datetime(2026, 3, 29, 2, 0, tzinfo=UTC), tick=False)
def test_added_today_auckland_midnight_crossing(self) -> None:
# UTC 02:00 on 2026-03-29 -> Auckland (UTC+13) = 2026-03-29 15:00 local
# Auckland midnight = UTC 2026-03-28 11:00
lo, hi = _range(translate_query("added:today", AUCKLAND), "added")
assert lo == "2026-03-28T11:00:00Z"
assert hi == "2026-03-29T11:00:00Z"
@time_machine.travel(datetime(2026, 3, 28, 15, 0, tzinfo=UTC), tick=False)
def test_modified_today_utc(self) -> None:
lo, hi = _range(
translate_query("modified:today", UTC),
"modified",
)
assert lo == "2026-03-28T00:00:00Z"
assert hi == "2026-03-29T00:00:00Z"
@pytest.mark.parametrize(
("keyword", "expected_lo", "expected_hi"),
[
pytest.param(
"yesterday",
"2026-03-27T00:00:00Z",
"2026-03-28T00:00:00Z",
id="yesterday",
),
pytest.param(
"previous week",
"2026-03-16T00:00:00Z",
"2026-03-23T00:00:00Z",
id="previous_week",
),
pytest.param(
"this month",
"2026-03-01T00:00:00Z",
"2026-04-01T00:00:00Z",
id="this_month",
),
pytest.param(
"previous month",
"2026-02-01T00:00:00Z",
"2026-03-01T00:00:00Z",
id="previous_month",
),
pytest.param(
"this year",
"2026-01-01T00:00:00Z",
"2027-01-01T00:00:00Z",
id="this_year",
),
pytest.param(
"previous year",
"2025-01-01T00:00:00Z",
"2026-01-01T00:00:00Z",
id="previous_year",
),
],
)
@time_machine.travel(datetime(2026, 3, 28, 12, 0, tzinfo=UTC), tick=False)
def test_datetime_keywords_utc(
self,
keyword: str,
expected_lo: str,
expected_hi: str,
) -> None:
# 2026-03-28 is Saturday; weekday()==5 so Monday=2026-03-23
lo, hi = _range(translate_query(f"added:{keyword}", UTC), "added")
assert lo == expected_lo
assert hi == expected_hi
@time_machine.travel(datetime(2026, 12, 15, 12, 0, tzinfo=UTC), tick=False)
def test_this_month_december_wraps_to_next_year(self) -> None:
# December: next month wraps to January of next year
lo, hi = _range(translate_query("added:this month", UTC), "added")
assert lo == "2026-12-01T00:00:00Z"
assert hi == "2027-01-01T00:00:00Z"
@time_machine.travel(datetime(2026, 1, 15, 12, 0, tzinfo=UTC), tick=False)
def test_last_month_january_wraps_to_previous_year(self) -> None:
# January: last month wraps back to December of previous year
lo, hi = _range(
translate_query("added:previous month", UTC),
"added",
)
assert lo == "2025-12-01T00:00:00Z"
assert hi == "2026-01-01T00:00:00Z"
@pytest.mark.parametrize(
("query", "expected_lo", "expected_hi"),
[
pytest.param(
'added:"previous quarter"',
"2026-04-01T00:00:00Z",
"2026-07-01T00:00:00Z",
id="quoted_previous_quarter",
),
pytest.param(
"added:previous month",
"2026-06-01T00:00:00Z",
"2026-07-01T00:00:00Z",
id="bare_previous_month",
),
pytest.param(
"added:this month",
"2026-07-01T00:00:00Z",
"2026-08-01T00:00:00Z",
id="bare_this_month",
),
],
)
@time_machine.travel(datetime(2026, 7, 15, 12, 0, tzinfo=UTC), tick=False)
def test_legacy_natural_language_aliases(
self,
query: str,
expected_lo: str,
expected_hi: str,
) -> None:
lo, hi = _range(translate_query(query, UTC), "added")
assert lo == expected_lo
assert hi == expected_hi
def test_unknown_keyword_raises(self) -> None:
with pytest.raises(ValueError, match="Unknown keyword"):
_datetime_range("bogus_keyword", UTC)
class TestWhooshQueryRewriting:
"""All Whoosh query syntax variants must be rewritten to ISO 8601 before Tantivy parses them."""
@time_machine.travel(datetime(2026, 3, 28, 15, 0, tzinfo=UTC), tick=False)
def test_compact_date_shim_rewrites_to_iso(self) -> None:
result = translate_query("created:20240115120000", UTC)
assert "2024-01-15" in result
assert "20240115120000" not in result
@time_machine.travel(datetime(2026, 3, 28, 15, 0, tzinfo=UTC), tick=False)
def test_relative_range_shim_removes_now(self) -> None:
result = translate_query("added:[now-7d TO now]", UTC)
assert "now" not in result
assert "2026-03-" in result
@time_machine.travel(datetime(2026, 3, 28, 12, 0, tzinfo=UTC), tick=False)
def test_bracket_minus_7_days(self) -> None:
lo, hi = _range(
translate_query("added:[-7 days to now]", UTC),
"added",
)
assert lo == "2026-03-21T12:00:00Z"
assert hi == "2026-03-28T12:00:00Z"
@time_machine.travel(datetime(2026, 3, 28, 12, 0, tzinfo=UTC), tick=False)
def test_bracket_minus_1_week(self) -> None:
lo, hi = _range(
translate_query("added:[-1 week to now]", UTC),
"added",
)
assert lo == "2026-03-21T12:00:00Z"
assert hi == "2026-03-28T12:00:00Z"
@time_machine.travel(datetime(2026, 3, 28, 12, 0, tzinfo=UTC), tick=False)
def test_bracket_minus_1_month_uses_relativedelta(self) -> None:
# relativedelta(months=1) from 2026-03-28 = 2026-02-28 (not 29)
lo, hi = _range(
translate_query("created:[-1 month to now]", UTC),
"created",
)
assert lo == "2026-02-28T12:00:00Z"
assert hi == "2026-03-28T12:00:00Z"
@time_machine.travel(datetime(2026, 3, 28, 12, 0, tzinfo=UTC), tick=False)
def test_bracket_minus_1_year(self) -> None:
lo, hi = _range(
translate_query("modified:[-1 year to now]", UTC),
"modified",
)
assert lo == "2025-03-28T12:00:00Z"
assert hi == "2026-03-28T12:00:00Z"
@time_machine.travel(datetime(2026, 3, 28, 12, 0, tzinfo=UTC), tick=False)
def test_bracket_plural_unit_hours(self) -> None:
lo, hi = _range(
translate_query("added:[-3 hours to now]", UTC),
"added",
)
assert lo == "2026-03-28T09:00:00Z"
assert hi == "2026-03-28T12:00:00Z"
@time_machine.travel(datetime(2026, 3, 28, 12, 0, tzinfo=UTC), tick=False)
def test_bracket_case_insensitive(self) -> None:
result = translate_query("added:[-1 WEEK TO NOW]", UTC)
assert "now" not in result.lower()
lo, hi = _range(result, "added")
assert lo == "2026-03-21T12:00:00Z"
assert hi == "2026-03-28T12:00:00Z"
@time_machine.travel(datetime(2026, 3, 28, 12, 0, tzinfo=UTC), tick=False)
def test_relative_range_swaps_bounds_when_lo_exceeds_hi(self) -> None:
# [now+1h TO now-1h] has lo > hi before substitution; they must be swapped
lo, hi = _range(
translate_query("added:[now+1h TO now-1h]", UTC),
"added",
)
assert lo == "2026-03-28T11:00:00Z"
assert hi == "2026-03-28T13:00:00Z"
def test_8digit_created_date_field_always_uses_utc_midnight(self) -> None:
# created is a DateField: boundaries are always UTC midnight, no TZ offset
result = translate_query("created:20231201", EASTERN)
lo, hi = _range(result, "created")
assert lo == "2023-12-01T00:00:00Z"
assert hi == "2023-12-02T00:00:00Z"
def test_8digit_added_datetime_field_converts_local_midnight_to_utc(self) -> None:
# added is DateTimeField: midnight Dec 1 Eastern (EST = UTC-5) = 05:00 UTC
result = translate_query("added:20231201", EASTERN)
lo, hi = _range(result, "added")
assert lo == "2023-12-01T05:00:00Z"
assert hi == "2023-12-02T05:00:00Z"
def test_8digit_modified_datetime_field_converts_local_midnight_to_utc(
self,
) -> None:
result = translate_query("modified:20231201", EASTERN)
lo, hi = _range(result, "modified")
assert lo == "2023-12-01T05:00:00Z"
assert hi == "2023-12-02T05:00:00Z"
def test_8digit_invalid_date_raises(self) -> None:
# The translation pipeline raises InvalidDateQuery for unparsable dates
# (e.g. month=13) so the API can surface a 400 telling the user the date
# is malformed instead of silently returning zero results.
with pytest.raises(InvalidDateQuery) as exc_info:
translate_query("added:20231340", UTC)
assert exc_info.value.field == "added"
assert exc_info.value.value == "20231340"
class TestParseUserQuery:
"""parse_user_query runs the full preprocessing pipeline."""
@pytest.fixture
def query_index(self) -> tantivy.Index:
schema = build_schema()
idx = tantivy.Index(schema, path=None)
register_tokenizers(idx, "")
return idx
def test_returns_tantivy_query(self, query_index: tantivy.Index) -> None:
assert isinstance(parse_user_query(query_index, "invoice", UTC), tantivy.Query)
@pytest.mark.parametrize(
"raw_query",
[
pytest.param("invoice", id="plain_text"),
pytest.param("created:today", id="date_keyword"),
pytest.param("created:[2005 to 2009]", id="whoosh_date_range"),
pytest.param('added:"previous month"', id="quoted_date_phrase"),
pytest.param("title:202[0-1]*", id="bracket_class_wildcard"),
],
)
def test_fuzzy_mode_does_not_raise(
self,
query_index: tantivy.Index,
settings,
raw_query: str,
) -> None:
# These are all valid whoosh grammar that tantivy's own query parser
# (used only by the fuzzy blend clause) cannot parse; the fuzzy
# clause must degrade gracefully instead of raising and failing the
# whole query. See _try_parse_fuzzy_query.
settings.ADVANCED_FUZZY_SEARCH_THRESHOLD = 0.5
assert isinstance(parse_user_query(query_index, raw_query, UTC), tantivy.Query)
assert isinstance(parse_user_query(query_index, "invoice", UTC), tantivy.Query)
def test_date_keyword_resolves_without_raising(
def test_date_rewriting_applied_before_tantivy_parse(
self,
query_index: tantivy.Index,
) -> None:
# whoosh-compat's DateParserPlugin resolves "today" against the AST
# directly (no string rewrite to an ISO range happens anywhere in
# this pipeline); the emitted tantivy query must still build cleanly.
# created:today must be rewritten to an ISO range before Tantivy parses it;
# if passed raw, Tantivy would reject "today" as an invalid date value
with time_machine.travel(datetime(2026, 3, 28, 12, 0, tzinfo=UTC), tick=False):
q = parse_user_query(query_index, "created:today", UTC)
assert isinstance(q, tantivy.Query)
@@ -93,72 +466,302 @@ class TestParseUserQuery:
) -> None:
assert isinstance(parse_user_query(query_index, raw_query, UTC), tantivy.Query)
@pytest.mark.parametrize(
"raw_query",
[
# Partial date scalar (year only)
pytest.param("created:2020", id="created_year_scalar"),
# 8-digit compact date range in brackets
pytest.param(
"created:[20200101 TO 20201231]",
id="created_8digit_bracket_range",
),
# Comma-separated field + date range (Whoosh v2 multi-clause syntax)
pytest.param(
"title:x,created:[2020 TO 2021]",
id="title_comma_created_range",
),
# Field alias: type -> document_type
pytest.param("type:invoice", id="type_alias"),
# Multi-word date keyword
pytest.param("created:previous week", id="created_previous_week"),
# Full ISO datetime range
pytest.param(
"created:[2026-01-01T00:00:00Z TO 2026-06-01T00:00:00Z]",
id="created_iso_range",
),
# Comma-separated ISO ranges (Whoosh v2 syntax)
pytest.param(
"created:[2026-01-01T00:00:00Z TO 2026-06-01T00:00:00Z],"
"added:[2026-05-01T00:00:00Z TO 2026-06-01T00:00:00Z]",
id="comma_iso_ranges",
),
],
)
def test_advanced_search_queries_do_not_raise(
self,
query_index: tantivy.Index,
raw_query: str,
) -> None:
"""
End-to-end: queries that the frontend sends must parse without raising.
This tests the full pipeline: translate_query -> tantivy parse_query.
Equivalent to asserting HTTP 200 (not 400) for each query form.
"""
with time_machine.travel(datetime(2026, 6, 15, 12, 0, tzinfo=UTC), tick=False):
assert isinstance(
parse_user_query(query_index, raw_query, UTC),
tantivy.Query,
)
def test_invalid_date_propagates_not_swallowed(
self,
query_index: tantivy.Index,
) -> None:
# parse_user_query never falls back to the raw query string on a parse
# error — a bad date diagnostic from whoosh-compat always maps to an
# InvalidDateQuery and must propagate, so the view can return a 400
# instead of silently parsing the raw (invalid) date.
# parse_user_query falls back to the raw query on unexpected translation
# errors, but an InvalidDateQuery is intentional and must propagate so the
# view can return a 400 instead of silently parsing the raw (invalid) date.
with pytest.raises(InvalidDateQuery) as exc_info:
parse_user_query(query_index, "created:202023", UTC)
assert exc_info.value.field == "created"
assert exc_info.value.value == "202023"
def test_invalid_number_raises_invalid_number_query(
self,
query_index: tantivy.Index,
) -> None:
with pytest.raises(InvalidNumberQuery) as exc_info:
parse_user_query(query_index, "asn:notanumber", UTC)
assert exc_info.value.field == "asn"
assert exc_info.value.value == "notanumber"
def test_multiple_bad_fields_raise_multiple_search_query_errors(
self,
query_index: tantivy.Index,
) -> None:
with pytest.raises(MultipleSearchQueryErrors) as exc_info:
parse_user_query(
query_index,
"created:notadate AND asn:notanumber",
UTC,
)
assert len(exc_info.value.errors) == 2
kinds = {type(e) for e in exc_info.value.errors}
assert kinds == {InvalidDateQuery, InvalidNumberQuery}
class TestYearRangeRewriting:
"""Whoosh-style year-only date ranges must be rewritten to ISO 8601."""
def test_asn_field_is_query_addressable(
@pytest.mark.parametrize(
("query", "field", "expected_lo", "expected_hi"),
[
pytest.param(
"created:[2020 TO 2020]",
"created",
"2020-01-01T00:00:00Z",
"2021-01-01T00:00:00Z",
id="single_year_created",
),
pytest.param(
"created:[2018 TO 2021]",
"created",
"2018-01-01T00:00:00Z",
"2022-01-01T00:00:00Z",
id="multi_year_range_created",
),
pytest.param(
"added:[2022 TO 2023]",
"added",
"2022-01-01T00:00:00Z",
"2024-01-01T00:00:00Z",
id="added_field",
),
pytest.param(
"modified:[2021 TO 2021]",
"modified",
"2021-01-01T00:00:00Z",
"2022-01-01T00:00:00Z",
id="modified_field",
),
pytest.param(
"created:[2020 to 2020]",
"created",
"2020-01-01T00:00:00Z",
"2021-01-01T00:00:00Z",
id="lowercase_to_keyword",
),
],
)
def test_year_range_rewritten(
self,
query_index: tantivy.Index,
query: str,
field: str,
expected_lo: str,
expected_hi: str,
) -> None:
q = parse_user_query(query_index, "asn:42", UTC)
assert isinstance(q, tantivy.Query)
result = translate_query(query, UTC)
lo, hi = _range(result, field)
assert lo == expected_lo
assert hi == expected_hi
def test_checksum_field_is_query_addressable(
self,
query_index: tantivy.Index,
) -> None:
q = parse_user_query(query_index, "checksum:abc123", UTC)
assert isinstance(q, tantivy.Query)
def test_reversed_year_range_is_swapped(self) -> None:
# A reversed range must not yield lo > hi, which Tantivy treats as an
# empty range (silently zero results). The bounds are swapped instead.
result = translate_query("created:[2025 TO 2020]", UTC)
lo, hi = _range(result, "created")
assert lo == "2020-01-01T00:00:00Z"
assert hi == "2026-01-01T00:00:00Z"
def test_unregistered_id_field_folds_to_literal_text_not_error(
def test_year_range_in_complex_boolean_query(self) -> None:
query = "tag:steuer AND (title:2020 OR (NOT title:2019 AND NOT title:2018 AND created:[2020 TO 2020]))"
result = translate_query(query, UTC)
lo, hi = _range(result, "created")
assert lo == "2020-01-01T00:00:00Z"
assert hi == "2021-01-01T00:00:00Z"
assert "title:2020" in result
assert "title:2019" in result
assert "title:2018" in result
def test_already_iso_date_range_passes_through_unchanged(self) -> None:
original = "created:[2020-01-01T00:00:00Z TO 2021-01-01T00:00:00Z]"
assert translate_query(original, UTC) == original
def test_8digit_in_brackets_not_matched_as_year_range(self) -> None:
# [YYYYMMDD TO YYYYMMDD]: the translation layer converts 8-digit bounds to
# ISO day ranges. 20200101 -> 2020-01-01T00:00:00Z (lo of that day);
# 20201231 -> the ceil of Dec 31 = 2021-01-01T00:00:00Z (exclusive end).
# This is the correct and accepted behavior: old compact form becomes a
# proper Tantivy-parseable ISO range.
original = "created:[20200101 TO 20201231]"
result = translate_query(original, UTC)
lo, hi = _range(result, "created")
assert lo == "2020-01-01T00:00:00Z"
assert hi == "2021-01-01T00:00:00Z"
class TestNonDateFieldsNotRewritten:
"""Date rewriters must only fire on the date fields (created/modified/added).
Integer fields like asn/id/page_count and unknown fields would otherwise be
rewritten into date ranges and rejected by Tantivy as type mismatches.
"""
@pytest.mark.parametrize(
"query",
[
pytest.param("asn:20240101", id="asn_8digit"),
pytest.param("id:20240101", id="id_8digit"),
pytest.param("page_count:12345678", id="page_count_8digit"),
pytest.param("num_notes:20231201", id="num_notes_8digit"),
],
)
def test_8digit_on_integer_field_passes_through_unchanged(self, query: str) -> None:
assert translate_query(query, EASTERN) == query
@pytest.mark.parametrize(
"query",
[
pytest.param("asn:[2000 TO 2024]", id="asn_year_range"),
pytest.param("id:[2000 TO 2024]", id="id_year_range"),
pytest.param("page_count:[2000 TO 2024]", id="page_count_year_range"),
],
)
def test_year_range_on_integer_field_passes_through_unchanged(
self,
query_index: tantivy.Index,
query: str,
) -> None:
# tag_id is intentionally excluded from the FieldRegistry — whoosh-compat
# parity leniency folds it into literal text, not a diagnostic/400.
# A result-level assertion that this fold actually matches nothing
# against real documents lives in
# test_acceptance.py::TestUnregisteredIdFieldFoldsToLiteralText.
q = parse_user_query(query_index, "tag_id:5", UTC)
assert isinstance(q, tantivy.Query)
assert translate_query(query, UTC) == query
def test_unknown_field_keyword_passes_through_unchanged(self) -> None:
# foobar is not a date field: 'foobar:today' must not become a date range,
# which Tantivy would otherwise reject as an unknown/typed field.
assert translate_query("foobar:today", UTC) == "foobar:today"
class TestPassthrough:
"""Queries without field prefixes or unrelated content pass through unchanged."""
def test_bare_keyword_no_field_prefix_unchanged(self) -> None:
# Bare 'today' with no field: prefix passes through unchanged
result = translate_query("bank statement today", UTC)
assert "today" in result
def test_unrelated_query_unchanged(self) -> None:
assert translate_query("title:invoice", UTC) == "title:invoice"
class TestNormalizeQuery:
"""translate_query expands comma-separated values and collapses whitespace."""
def test_normalize_expands_comma_separated_tags(self) -> None:
assert translate_query("tag:foo,bar", UTC) == "tag:foo AND tag:bar"
def test_normalize_comma_between_range_expressions(self) -> None:
# Comma-separated field range expressions (Whoosh v2 syntax) must be
# converted to AND so Tantivy does not receive an invalid comma.
q = "created:[2026-01-01T00:00:00Z TO 2026-06-01T00:00:00Z],added:[2026-05-01T00:00:00Z TO 2026-06-01T00:00:00Z]"
assert translate_query(q, UTC) == (
"created:[2026-01-01T00:00:00Z TO 2026-06-01T00:00:00Z]"
" AND "
"added:[2026-05-01T00:00:00Z TO 2026-06-01T00:00:00Z]"
)
def test_normalize_expands_three_values(self) -> None:
assert (
translate_query("tag:foo,bar,baz", UTC) == "tag:foo AND tag:bar AND tag:baz"
)
def test_normalize_collapses_whitespace(self) -> None:
assert translate_query("bank statement", UTC) == "bank statement"
def test_normalize_no_commas_unchanged(self) -> None:
assert translate_query("bank statement", UTC) == "bank statement"
@pytest.mark.parametrize(
("raw", "expected"),
[
pytest.param(
"h52.1 - kurzsichtigkeit",
"h52.1 kurzsichtigkeit",
id="icd_code_dash_description",
),
pytest.param(
"H52.1 - asd",
"H52.1 asd",
id="icd_code_uppercase_dash",
),
pytest.param(
"h52.1 -",
"h52.1",
id="trailing_minus",
),
pytest.param(
". -",
".",
id="dot_trailing_minus",
),
pytest.param(
"h52. -",
"h52.",
id="partial_code_trailing_minus",
),
pytest.param(
"foo - bar - baz",
"foo bar baz",
id="multiple_dashes",
),
pytest.param(
"foo + bar",
"foo bar",
id="spaced_plus_operator",
),
],
)
def test_normalize_strips_dangling_operators(self, raw: str, expected: str) -> None:
assert translate_query(raw, UTC) == expected
@pytest.mark.parametrize(
"query",
[
pytest.param("term -other", id="adjacent_not_operator"),
pytest.param("-term", id="leading_not_operator"),
pytest.param("+term", id="leading_must_operator"),
pytest.param("foo -bar +baz", id="mixed_adjacent_operators"),
],
)
def test_normalize_preserves_valid_operators(self, query: str) -> None:
assert translate_query(query, UTC) == query
class TestParseSimpleTextHighlightQuery:
"""parse_simple_text_highlight_query must not raise on natural-language queries."""
@pytest.fixture
def query_index(self) -> tantivy.Index:
schema = build_schema()
idx = tantivy.Index(schema, path=None)
register_tokenizers(idx, "")
return idx
@pytest.mark.parametrize(
"raw_query",
[
@@ -281,78 +884,3 @@ class TestPermissionFilter:
user = django_user_model(pk=20)
perm = build_permission_filter(perm_index.schema, user)
assert perm_index.searcher().search(perm, limit=10).count == 1 # only unowned
class TestSearchQueryErrors:
def test_invalid_date_query_is_a_search_query_error(self) -> None:
err = InvalidDateQuery("created", "notadate")
assert isinstance(err, SearchQueryError)
assert err.field == "created"
assert err.value == "notadate"
assert "created" in str(err)
assert "notadate" in str(err)
def test_invalid_number_query_is_a_search_query_error(self) -> None:
err = InvalidNumberQuery("asn", "notanumber")
assert isinstance(err, SearchQueryError)
assert err.field == "asn"
assert err.value == "notanumber"
assert "asn" in str(err)
assert "notanumber" in str(err)
def test_multiple_search_query_errors_aggregates(self) -> None:
sub_errors = [
InvalidDateQuery("created", "notadate"),
InvalidNumberQuery("asn", "notanumber"),
]
err = MultipleSearchQueryErrors(sub_errors)
assert isinstance(err, SearchQueryError)
assert err.errors == tuple(sub_errors)
assert "created" in str(err)
assert "asn" in str(err)
class TestEmitErrorContract:
"""A diagnostics list, or a QueryError from emit(), are both user-input
errors and must surface as SearchQueryError (HTTP 400)."""
def test_query_emit_error_maps_to_search_query_error(
self,
query_index: tantivy.Index,
monkeypatch: pytest.MonkeyPatch,
) -> None:
from whoosh_compat.errors import Cause
from whoosh_compat.errors import Diagnostic
from whoosh_compat.errors import DiagnosticKind
from whoosh_compat.errors import QueryError
import documents.search._query as query_mod
def raise_emit_error(*args: object, **kwargs: object) -> None:
raise QueryError(
Diagnostic(
kind=DiagnosticKind.TEXT_RANGE,
cause=Cause.UNSUPPORTED,
message="synthetic emit failure",
),
)
monkeypatch.setattr(query_mod, "tantivy_emit", raise_emit_error)
with pytest.raises(SearchQueryError):
parse_user_query(query_index, "invoice", UTC)
def test_exists_requires_fast_gets_the_user_facing_rewrite(
self,
query_index: tantivy.Index,
) -> None:
# The only emit-time diagnostic kind paperless rewrites itself
# (_user_facing_emit_message): whoosh-compat's own message advises
# a host-side fast=True config change, which the user can't act
# on, so this checks OUR rewrite, not whoosh-compat's wording
# (that's whoosh-compat's own tests/emitter/test_kind_matrix.py's
# job now).
with pytest.raises(SearchQueryError) as exc_info:
parse_user_query(query_index, "notes.user:*", UTC)
assert str(exc_info.value) == (
"existence searches (field:*) are not supported for this field"
)
-136
View File
@@ -1,136 +0,0 @@
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
_BY_NAME = {f.name: f for f in PUBLIC_FIELDS}
@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
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_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_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_is_ascii_fold_only_no_stemming(
self,
registry: FieldRegistry,
) -> None:
resolved = _resolve(registry, "title")
assert resolved.spec.pattern_normalizer is not None
# "running" must NOT be stemmed to "run" by the pattern normalizer,
# only case/accent-folded — even with English stemming configured.
registry_en = get_field_registry("en")
resolved_en = _resolve(registry_en, "title")
assert resolved_en.spec.pattern_normalizer is not None
assert resolved_en.spec.pattern_normalizer("Running") == "running"
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
class TestJsonSubpathCoupling:
"""Guards PUBLIC_FIELDS' JSON subpaths against drifting from the literal
dict keys _backend.py::_build_tantivy_doc writes. These assertions
hardcode the expected key sets rather than introspecting _build_tantivy_doc
(its dict keys are string literals with no importable symbol) — if someone
changes _build_tantivy_doc's JSON keys without updating this test too, it
will pass despite the drift. Best-effort, not a structural guarantee.
"""
def test_notes_dict_keys_match_public_fields_subpaths(self) -> None:
# _backend.py's _build_tantivy_doc builds:
# doc.add_json("notes", {"note": ..., "user": ...})
# These literal keys must match PUBLIC_FIELDS' "notes" subpaths exactly.
assert set(_BY_NAME["notes"].subpaths) == {"note", "user"}
def test_custom_fields_dict_keys_match_public_fields_subpaths(self) -> None:
# _backend.py's _build_tantivy_doc builds:
# doc.add_json("custom_fields", {"name": ..., "value": ...})
assert set(_BY_NAME["custom_fields"].subpaths) == {"name", "value"}
-71
View File
@@ -1,18 +1,12 @@
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 needs_rebuild
from documents.search._tokenizer import register_tokenizers
if TYPE_CHECKING:
from pathlib import Path
@@ -82,68 +76,3 @@ 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. build_schema()
# only honors the flag in its U64 and DATE branches 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.
schema_fast = {
name: bool(field["options"].get("fast", False))
for name, field in _schema_fields(build_schema()).items()
}
for public_field in PUBLIC_FIELDS:
assert schema_fast[public_field.name] == public_field.fast, (
f"{public_field.name}: PUBLIC_FIELDS says fast={public_field.fast} but the"
f" built schema says fast={schema_fast[public_field.name]}"
)
+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_analyzer(""))
idx.register_tokenizer("paperless_text", _paperless_text(""))
return idx
@pytest.fixture
@@ -0,0 +1,810 @@
from __future__ import annotations
from datetime import UTC
from datetime import datetime
from typing import TYPE_CHECKING
from zoneinfo import ZoneInfo
import pytest
import time_machine
from documents.search._dates import _precision_bounds
if TYPE_CHECKING:
import tantivy
from documents.search._query import _FIELD_BOOSTS
from documents.search._query import DEFAULT_SEARCH_FIELDS
from documents.search._translate import OPEN_HI
from documents.search._translate import OPEN_LO
from documents.search._translate import Comma
from documents.search._translate import FieldRange
from documents.search._translate import FieldValue
from documents.search._translate import FieldValueList
from documents.search._translate import InvalidDateQuery
from documents.search._translate import Passthrough
from documents.search._translate import resolve_commas
from documents.search._translate import scan
from documents.search._translate import translate_query
from documents.search._translate import translate_range
from documents.search._translate import translate_scalar
@pytest.mark.search
class TestPrecisionBounds:
@pytest.mark.parametrize(
("digits", "expected"),
[
("2020", ((2020, 1, 1), (2021, 1, 1))),
("202003", ((2020, 3, 1), (2020, 4, 1))),
("202012", ((2020, 12, 1), (2021, 1, 1))),
("20200115", ((2020, 1, 15), (2020, 1, 16))),
("20201231", ((2020, 12, 31), (2021, 1, 1))),
],
)
def test_valid(self, digits, expected):
lo, hi = _precision_bounds(digits)
assert (lo.year, lo.month, lo.day) == expected[0]
assert (hi.year, hi.month, hi.day) == expected[1]
@pytest.mark.parametrize("digits", ["202023", "20200230", "20201301", "20", "abcd"])
def test_invalid_returns_none(self, digits):
assert _precision_bounds(digits) is None
@pytest.mark.search
class TestScan:
def test_plain_words_are_passthrough(self):
assert scan("bank statement") == [Passthrough("bank statement")]
def test_field_value(self):
assert scan("created:2020") == [FieldValue("created", "2020")]
def test_field_value_in_boolean(self):
toks = scan("created:2020 OR foo")
assert toks == [
FieldValue("created", "2020"),
Passthrough(" OR foo"),
]
def test_field_value_in_parens(self):
toks = scan("(created:2020 OR foo)")
assert toks == [
Passthrough("("),
FieldValue("created", "2020"),
Passthrough(" OR foo)"),
]
def test_quoted_value(self):
assert scan('correspondent:"A B"') == [FieldValue("correspondent", '"A B"')]
def test_field_range(self):
assert scan("created:[2020 TO 2021]") == [
FieldRange("created", "[", "2020", "2021", "]"),
]
@pytest.mark.parametrize(
("query", "expected"),
[
pytest.param(
"created:[2020 to]",
FieldRange("created", "[", "2020", "", "]"),
id="open_upper",
),
pytest.param(
"created:[to 2020]",
FieldRange("created", "[", "", "2020", "]"),
id="open_lower",
),
],
)
def test_open_range(self, query, expected):
assert scan(query) == [expected]
def test_comma_inside_range_not_split(self):
# No depth-0 comma here; the whole thing is one range token.
toks = scan("created:[2020 TO 2021]")
assert len(toks) == 1
# --- Edge-case / regression tests (scan must never raise) ---
def test_url_is_passthrough(self):
# "http" is not a known field; the whole URL must pass through verbatim.
assert scan("http://example.com") == [Passthrough("http://example.com")]
def test_unterminated_quote_is_passthrough(self):
# title is a known field but the quoted value has no closing quote;
# _consume_value returns None so the whole string falls into passthrough.
assert scan('title:"abc') == [Passthrough('title:"abc')]
def test_unterminated_bracket_is_passthrough(self):
# created is a known field but the range bracket is never closed;
# _consume_range returns None so the whole string falls into passthrough.
assert scan("created:[2020") == [Passthrough("created:[2020")]
def test_empty_value_at_end_is_passthrough(self):
# created is a known field but there is no value after the colon
# (_consume_value returns None for start >= n), so passthrough.
assert scan("created:") == [Passthrough("created:")]
def test_value_containing_colon(self):
# The bare-word value reader stops at whitespace/paren, not at colon,
# so "2020:30" is consumed as a single value token.
assert scan("created:2020:30") == [FieldValue("created", "2020:30")]
def test_comma_followed_by_unconsumable_value_stops(self):
# A comma followed by whitespace is neither a value-list continuation nor a
# clause separator: the value stops and the comma stays as passthrough.
assert scan("tag:foo, bar") == [
FieldValue("tag", "foo"),
Passthrough(", bar"),
]
def test_bracket_without_to_is_open_upper_bound(self):
# A bracketed value with no TO falls back to (value, "") -> open upper bound.
assert scan("created:[2020]") == [
FieldRange("created", "[", "2020", "", "]"),
]
def test_known_field_name_midword_is_passthrough(self):
# A known field name embedded mid-word is not a field token (the
# word-boundary guard); the whole run stays passthrough.
assert scan("xtag:foo") == [Passthrough("xtag:foo")]
@pytest.mark.search
class TestCommaResolution:
def test_value_list_multi_value_field(self):
toks = resolve_commas(scan("tag:foo,bar"))
assert toks == [FieldValueList("tag", ("foo", "bar"))]
def test_value_list_three(self):
toks = resolve_commas(scan("tag_id:1,2,3"))
assert toks == [FieldValueList("tag_id", ("1", "2", "3"))]
def test_text_field_comma_is_literal(self):
# correspondent is not multi-value: comma stays inside the value.
toks = resolve_commas(scan("correspondent:foo,bar"))
assert toks == [FieldValue("correspondent", "foo,bar")]
def test_clause_separator_before_known_field(self):
toks = resolve_commas(scan("tag:foo,type:bar"))
assert toks == [FieldValue("tag", "foo"), Comma(), FieldValue("type", "bar")]
def test_clause_separator_after_range(self):
toks = resolve_commas(scan("created:[2020 TO 2021],added:[2022 TO 2023]"))
assert toks == [
FieldRange("created", "[", "2020", "2021", "]"),
Comma(),
FieldRange("added", "[", "2022", "2023", "]"),
]
def test_clause_separator_after_quote(self):
toks = resolve_commas(scan('correspondent:"A B",created:[2020 TO 2021]'))
assert toks == [
FieldValue("correspondent", '"A B"'),
Comma(),
FieldRange("created", "[", "2020", "2021", "]"),
]
def test_url_comma_is_literal_passthrough(self):
toks = resolve_commas(scan("http://example.com/a,b"))
assert toks == [Passthrough("http://example.com/a,b")]
def test_non_multi_value_comma_is_literal(self):
# title is not in MULTI_VALUE_FIELDS: comma stays inside the value.
toks = resolve_commas(scan("title:10,20"))
assert toks == [FieldValue("title", "10,20")]
def test_clause_separator_before_known_date_field(self):
# The comma between a bare value and a known date field acts as a
# clause separator; both sides survive as distinct tokens.
toks = resolve_commas(scan("correspondent:foo,created:[2020 TO 2021]"))
assert toks == [
FieldValue("correspondent", "foo"),
Comma(),
FieldRange("created", "[", "2020", "2021", "]"),
]
@pytest.mark.search
class TestTranslateScalar:
@pytest.mark.parametrize(
("field", "value", "expected"),
[
(
"created",
"2020",
"created:[2020-01-01T00:00:00Z TO 2021-01-01T00:00:00Z}",
),
(
"created",
"202003",
"created:[2020-03-01T00:00:00Z TO 2020-04-01T00:00:00Z}",
),
(
"created",
"20200115",
"created:[2020-01-15T00:00:00Z TO 2020-01-16T00:00:00Z}",
),
(
"created",
"2020-01-15",
"created:[2020-01-15T00:00:00Z TO 2020-01-16T00:00:00Z}",
),
(
"created",
"2020-03",
"created:[2020-03-01T00:00:00Z TO 2020-04-01T00:00:00Z}",
),
],
)
def test_partial_and_iso_dates(self, field: str, value: str, expected: str) -> None:
assert translate_scalar(field, value, UTC) == expected
def test_invalid_date_raises(self) -> None:
with pytest.raises(InvalidDateQuery) as exc_info:
translate_scalar("created", "202023", UTC)
assert exc_info.value.field == "created"
assert exc_info.value.value == "202023"
def test_keyword_delegates(self) -> None:
# keyword path produces a half-open range; just assert it is a created range
out = translate_scalar("created", "today", UTC)
assert out.startswith("created:[") and out.endswith("}")
def test_14digit_compact_datetime(self) -> None:
out = translate_scalar("created", "20240115120000", UTC)
assert "20240115120000" not in out
assert out.startswith("created:")
assert out == "created:[2024-01-15T12:00:00Z TO 2024-01-15T12:00:00Z]"
def test_14digit_invalid_month_raises(self) -> None:
with pytest.raises(InvalidDateQuery) as exc_info:
translate_scalar("created", "20231300120000", UTC)
assert exc_info.value.field == "created"
assert exc_info.value.value == "20231300120000"
def test_unrecognized_value_raises(self) -> None:
# A value that is not a keyword, digits, ISO date, or compact timestamp
# raises rather than producing invalid Tantivy syntax or silently matching
# nothing.
with pytest.raises(InvalidDateQuery) as exc_info:
translate_scalar("created", "garbage", UTC)
assert exc_info.value.field == "created"
assert exc_info.value.value == "garbage"
@pytest.mark.search
class TestTranslateRange:
@pytest.mark.parametrize(
("lo", "hi", "expected"),
[
("2005", "2009", "created:[2005-01-01T00:00:00Z TO 2010-01-01T00:00:00Z}"),
(
"202001",
"202006",
"created:[2020-01-01T00:00:00Z TO 2020-07-01T00:00:00Z}",
),
(
"20200101",
"20201231",
"created:[2020-01-01T00:00:00Z TO 2021-01-01T00:00:00Z}",
),
(
"2020-01-01",
"2020-12-31",
"created:[2020-01-01T00:00:00Z TO 2021-01-01T00:00:00Z}",
),
],
)
def test_absolute_ranges(self, lo, hi, expected):
assert translate_range("created", lo, hi, UTC) == expected
def test_reversed_swaps(self):
assert translate_range("created", "2009", "2005", UTC) == (
"created:[2005-01-01T00:00:00Z TO 2010-01-01T00:00:00Z}"
)
def test_open_upper(self):
out = translate_range("created", "2020", "", UTC)
assert out == f"created:[2020-01-01T00:00:00Z TO {OPEN_HI}]"
def test_open_lower(self):
out = translate_range("created", "", "2020", UTC)
assert out == f"created:[{OPEN_LO} TO 2021-01-01T00:00:00Z}}"
def test_invalid_bound_raises(self):
with pytest.raises(InvalidDateQuery) as exc_info:
translate_range("created", "202023", "2025", UTC)
assert exc_info.value.field == "created"
assert exc_info.value.value == "202023"
def test_invalid_high_bound_raises(self):
# Low bound parses, high bound does not -> raise on the high bound.
with pytest.raises(InvalidDateQuery) as exc_info:
translate_range("created", "2020", "garbage", UTC)
assert exc_info.value.field == "created"
assert exc_info.value.value == "garbage"
@pytest.mark.search
class TestTranslateQuery:
@pytest.mark.parametrize(
("raw", "expected"),
[
(
"created:2020",
"created:[2020-01-01T00:00:00Z TO 2021-01-01T00:00:00Z}",
),
("tag:foo,bar", "tag:foo AND tag:bar"),
# 'type' is a user-facing alias rewritten to 'document_type' (the real schema field)
("tag:foo,type:bar", "tag:foo AND document_type:bar"),
(
"created:[2020 TO 2021],added:[2022 TO 2023]",
(
"created:[2020-01-01T00:00:00Z TO 2022-01-01T00:00:00Z}"
" AND "
"added:[2022-01-01T00:00:00Z TO 2024-01-01T00:00:00Z}"
),
),
# correspondent is not multi-value: comma stays literal inside the value
("correspondent:foo,bar", "correspondent:foo,bar"),
],
)
def test_golden(self, raw: str, expected: str) -> None:
assert translate_query(raw, UTC) == expected
@pytest.mark.parametrize(
"raw",
[
"created:2020",
"created:202003",
"created:[20200101 TO 20201231]",
"created:[2020-01-01 TO 2020-12-31]",
"created:[2020 to]",
"created:[to 2020]",
"title:x,created:[2020 TO 2021]",
"created:2020 OR foo",
"(created:2020 OR invoice)",
"tag:foo,type:bar",
"bank statement",
],
)
def test_parse_acceptance(self, index: tantivy.Index, raw: str) -> None:
translated = translate_query(raw, UTC)
# Must not raise:
index.parse_query(translated, DEFAULT_SEARCH_FIELDS, field_boosts=_FIELD_BOOSTS)
@pytest.mark.search
class TestFieldAliasing:
"""Whoosh->Tantivy field-name aliasing (type/path -> document_type/storage_path)."""
def test_type_alias(self) -> None:
assert translate_query("type:invoice", UTC) == "document_type:invoice"
def test_path_alias(self) -> None:
assert translate_query("path:/foo/bar", UTC) == "storage_path:/foo/bar"
def test_type_id_alias(self) -> None:
assert translate_query("type_id:5", UTC) == "document_type_id:5"
def test_path_id_alias(self) -> None:
assert translate_query("path_id:7", UTC) == "storage_path_id:7"
def test_clause_separator_plus_alias(self) -> None:
# Comma between known fields acts as AND separator; alias still applied.
assert (
translate_query("tag:foo,type:bar", UTC) == "tag:foo AND document_type:bar"
)
def test_type_range_alias(self) -> None:
# type is not a date field; range passes through verbatim with alias applied.
assert (
translate_query("type:[2020 TO 2021]", UTC)
== "document_type:[2020 TO 2021]"
)
def test_parse_acceptance_type(self, index: tantivy.Index) -> None:
# Translated output must be accepted by the real Tantivy parser.
translated = translate_query("type:invoice", UTC)
index.parse_query(translated, DEFAULT_SEARCH_FIELDS, field_boosts=_FIELD_BOOSTS)
def test_parse_acceptance_path(self, index: tantivy.Index) -> None:
translated = translate_query("path:foo", UTC)
index.parse_query(translated, DEFAULT_SEARCH_FIELDS, field_boosts=_FIELD_BOOSTS)
# Freeze time so relative-date tests are deterministic.
_FROZEN_NOW = datetime(2026, 3, 28, 12, 0, 0, tzinfo=UTC)
@pytest.mark.search
class TestRelativeRanges:
"""Relative date-range tokens resolved against a frozen clock."""
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_minus_7_days_to_now(self) -> None:
assert translate_query("added:[-7 days to now]", UTC) == (
"added:[2026-03-21T12:00:00Z TO 2026-03-28T12:00:00Z]"
)
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_minus_1_week_to_now(self) -> None:
assert translate_query("added:[-1 week to now]", UTC) == (
"added:[2026-03-21T12:00:00Z TO 2026-03-28T12:00:00Z]"
)
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_minus_1_month_to_now(self) -> None:
assert translate_query("created:[-1 month to now]", UTC) == (
"created:[2026-02-28T12:00:00Z TO 2026-03-28T12:00:00Z]"
)
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_minus_1_year_to_now(self) -> None:
assert translate_query("modified:[-1 year to now]", UTC) == (
"modified:[2025-03-28T12:00:00Z TO 2026-03-28T12:00:00Z]"
)
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_minus_3_hours_to_now(self) -> None:
assert translate_query("added:[-3 hours to now]", UTC) == (
"added:[2026-03-28T09:00:00Z TO 2026-03-28T12:00:00Z]"
)
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_uppercase_units(self) -> None:
assert translate_query("added:[-1 WEEK TO NOW]", UTC) == (
"added:[2026-03-21T12:00:00Z TO 2026-03-28T12:00:00Z]"
)
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_now_minus_7d_compact(self) -> None:
assert translate_query("added:[now-7d TO now]", UTC) == (
"added:[2026-03-21T12:00:00Z TO 2026-03-28T12:00:00Z]"
)
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_reversed_range_swapped(self) -> None:
# now+1h TO now-1h is reversed; translate_range swaps -> lo=now-1h, hi=now+1h
assert translate_query("added:[now+1h TO now-1h]", UTC) == (
"added:[2026-03-28T11:00:00Z TO 2026-03-28T13:00:00Z]"
)
@pytest.mark.parametrize(
"raw",
[
"added:[-7 days to now]",
"added:[-1 week to now]",
"created:[-1 month to now]",
"modified:[-1 year to now]",
"added:[-3 hours to now]",
"added:[now-7d TO now]",
"added:[now+1h TO now-1h]",
],
)
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_parse_acceptance(self, index: tantivy.Index, raw: str) -> None:
translated = translate_query(raw, UTC)
index.parse_query(translated, DEFAULT_SEARCH_FIELDS, field_boosts=_FIELD_BOOSTS)
@pytest.mark.search
class TestWhooshUnitAbbreviations:
"""
Whoosh's PlusMinus date grammar accepted abbreviated unit spellings
(e.g. "yrs", "mos", "wks", "hrs", "mins", "secs"); saved views/searches
created under the old Whoosh backend can contain those tokens (see
https://github.com/paperless-ngx/paperless-ngx/issues/13482), so the
Tantivy translator must still accept them.
"""
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_minus_999_yrs(self) -> None:
assert translate_query("created:[-999yrs to now]", UTC) == (
"created:[1027-03-28T12:00:00Z TO 2026-03-28T12:00:00Z]"
)
@pytest.mark.parametrize(
("token", "expected_lo"),
[
("-1y", "2025-03-28T12:00:00Z"),
("-1yr", "2025-03-28T12:00:00Z"),
("-3mos", "2025-12-28T12:00:00Z"),
("-3mo", "2025-12-28T12:00:00Z"),
("-2wks", "2026-03-14T12:00:00Z"),
("-2wk", "2026-03-14T12:00:00Z"),
("-5dys", "2026-03-23T12:00:00Z"),
("-5dy", "2026-03-23T12:00:00Z"),
("-1hrs", "2026-03-28T11:00:00Z"),
("-1hr", "2026-03-28T11:00:00Z"),
("-10mins", "2026-03-28T11:50:00Z"),
("-10min", "2026-03-28T11:50:00Z"),
("-30secs", "2026-03-28T11:59:30Z"),
("-30sec", "2026-03-28T11:59:30Z"),
],
)
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_abbreviated_units(self, token: str, expected_lo: str) -> None:
assert translate_query(f"added:[{token} to now]", UTC) == (
f"added:[{expected_lo} TO 2026-03-28T12:00:00Z]"
)
@pytest.mark.parametrize(
"raw",
[
"created:[-999yrs to now]",
"added:[-1y to now]",
"created:[-3mos to now]",
"added:[-2wks to now]",
"added:[-5dys to now]",
"added:[-1hrs to now]",
"added:[-10mins to now]",
"added:[-30secs to now]",
],
)
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_parse_acceptance(self, index: tantivy.Index, raw: str) -> None:
translated = translate_query(raw, UTC)
index.parse_query(translated, DEFAULT_SEARCH_FIELDS, field_boosts=_FIELD_BOOSTS)
@pytest.mark.search
class TestOperatorNormalization:
"""Post-render operator normalization in translate_query."""
def test_spaced_dash_removed(self) -> None:
assert (
translate_query("H52.1 - Kurzsichtigkeit", UTC) == "H52.1 Kurzsichtigkeit"
)
def test_spaced_dash_simple(self) -> None:
assert translate_query("bar - baz", UTC) == "bar baz"
def test_trailing_operator_stripped(self) -> None:
assert translate_query("foo -", UTC) == "foo"
def test_date_range_preserved(self) -> None:
out = translate_query("created:[2020 TO 2021]", UTC)
# Must not corrupt the ISO range
assert out == "created:[2020-01-01T00:00:00Z TO 2022-01-01T00:00:00Z}"
def test_date_scalar_with_or(self) -> None:
out = translate_query("created:2020 OR foo", UTC)
# The created scalar becomes a range; " OR foo" passes through verbatim.
assert out.startswith("created:[")
assert "OR foo" in out
def test_parse_acceptance_spaced_dash(self, index: tantivy.Index) -> None:
translated = translate_query("H52.1 - Kurzsichtigkeit", UTC)
index.parse_query(translated, DEFAULT_SEARCH_FIELDS, field_boosts=_FIELD_BOOSTS)
def test_parse_acceptance_trailing_op(self, index: tantivy.Index) -> None:
translated = translate_query("foo -", UTC)
index.parse_query(translated, DEFAULT_SEARCH_FIELDS, field_boosts=_FIELD_BOOSTS)
@pytest.mark.search
class TestMultiWordDateKeywords:
"""scan() must consume multi-word date keywords as a single value."""
def test_scan_previous_week_as_single_token(self) -> None:
# "created:previous week" must produce one FieldValue with value "previous week",
# not FieldValue("created","previous") + Passthrough(" week").
toks = scan("created:previous week")
assert toks == [FieldValue("created", "previous week")]
def test_scan_this_month_as_single_token(self) -> None:
toks = scan("added:this month")
assert toks == [FieldValue("added", "this month")]
def test_scan_previous_month_as_single_token(self) -> None:
toks = scan("created:previous month")
assert toks == [FieldValue("created", "previous month")]
def test_scan_this_year_as_single_token(self) -> None:
toks = scan("added:this year")
assert toks == [FieldValue("added", "this year")]
def test_scan_previous_year_as_single_token(self) -> None:
toks = scan("created:previous year")
assert toks == [FieldValue("created", "previous year")]
def test_scan_previous_quarter_as_single_token(self) -> None:
toks = scan("created:previous quarter")
assert toks == [FieldValue("created", "previous quarter")]
def test_quoted_multi_word_keyword_still_works(self) -> None:
# The quoted form must continue to work as before.
toks = scan('created:"previous week"')
assert toks == [FieldValue("created", '"previous week"')]
def test_non_date_field_not_affected(self) -> None:
# "previous" stops at the space for non-date fields; " week" passes through.
toks = scan("correspondent:previous week")
assert toks == [
FieldValue("correspondent", "previous"),
Passthrough(" week"),
]
@pytest.mark.search
class TestKeywordDateResolution:
"""Relative date keywords resolve to exact ISO ranges against a frozen clock.
Frozen at 2026-03-28 12:00 UTC (a Saturday in Q1) so the week, month,
quarter and year rollovers are all exercised by a single anchor.
"""
# created is a DateField: bounds are UTC midnight, no timezone offset.
@pytest.mark.parametrize(
("keyword", "expected"),
[
pytest.param(
"today",
"created:[2026-03-28T00:00:00Z TO 2026-03-29T00:00:00Z}",
id="today",
),
pytest.param(
"yesterday",
"created:[2026-03-27T00:00:00Z TO 2026-03-28T00:00:00Z}",
id="yesterday",
),
pytest.param(
"previous week",
"created:[2026-03-16T00:00:00Z TO 2026-03-23T00:00:00Z}",
id="previous-week",
),
pytest.param(
"this month",
"created:[2026-03-01T00:00:00Z TO 2026-04-01T00:00:00Z}",
id="this-month",
),
pytest.param(
"previous month",
"created:[2026-02-01T00:00:00Z TO 2026-03-01T00:00:00Z}",
id="previous-month",
),
pytest.param(
"this year",
"created:[2026-01-01T00:00:00Z TO 2027-01-01T00:00:00Z}",
id="this-year",
),
pytest.param(
"previous year",
"created:[2025-01-01T00:00:00Z TO 2026-01-01T00:00:00Z}",
id="previous-year",
),
pytest.param(
"previous quarter",
"created:[2025-10-01T00:00:00Z TO 2026-01-01T00:00:00Z}",
id="previous-quarter",
),
],
)
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_date_only_field_keyword_ranges(
self,
keyword: str,
expected: str,
) -> None:
assert translate_query(f"created:{keyword}", UTC) == expected
# added is a DateTimeField: local-tz midnight converted to UTC. Tokyo
# (+09:00, no DST) shifts each midnight boundary back to 15:00Z the day
# before, so this also exercises the local-midnight offset path.
@pytest.mark.parametrize(
("keyword", "expected"),
[
pytest.param(
"today",
"added:[2026-03-27T15:00:00Z TO 2026-03-28T15:00:00Z}",
id="today",
),
pytest.param(
"yesterday",
"added:[2026-03-26T15:00:00Z TO 2026-03-27T15:00:00Z}",
id="yesterday",
),
pytest.param(
"previous week",
"added:[2026-03-15T15:00:00Z TO 2026-03-22T15:00:00Z}",
id="previous-week",
),
pytest.param(
"this month",
"added:[2026-02-28T15:00:00Z TO 2026-03-31T15:00:00Z}",
id="this-month",
),
pytest.param(
"previous month",
"added:[2026-01-31T15:00:00Z TO 2026-02-28T15:00:00Z}",
id="previous-month",
),
pytest.param(
"this year",
"added:[2025-12-31T15:00:00Z TO 2026-12-31T15:00:00Z}",
id="this-year",
),
pytest.param(
"previous year",
"added:[2024-12-31T15:00:00Z TO 2025-12-31T15:00:00Z}",
id="previous-year",
),
pytest.param(
"previous quarter",
"added:[2025-09-30T15:00:00Z TO 2025-12-31T15:00:00Z}",
id="previous-quarter",
),
],
)
@time_machine.travel(_FROZEN_NOW, tick=False)
def test_datetime_field_keyword_ranges_local_tz(
self,
keyword: str,
expected: str,
) -> None:
assert translate_query(f"added:{keyword}", ZoneInfo("Asia/Tokyo")) == expected
@pytest.mark.search
class TestISODatetimeBounds:
"""Full ISO datetime tokens in range bounds must be parsed directly."""
def test_translate_range_iso_bounds_passthrough(self) -> None:
# Already-ISO datetime bounds must pass through as-is (exact instant).
result = translate_range(
"created",
"2020-01-01T00:00:00Z",
"2021-01-01T00:00:00Z",
UTC,
)
assert result == "created:[2020-01-01T00:00:00Z TO 2021-01-01T00:00:00Z]"
def test_translate_query_iso_range_preserved(self) -> None:
q = "created:[2026-01-01T00:00:00Z TO 2026-06-01T00:00:00Z]"
assert translate_query(q, UTC) == q
def test_translate_query_comma_separated_iso_ranges(self) -> None:
q = (
"created:[2026-01-01T00:00:00Z TO 2026-06-01T00:00:00Z],"
"added:[2026-05-01T00:00:00Z TO 2026-06-01T00:00:00Z]"
)
result = translate_query(q, UTC)
assert result == (
"created:[2026-01-01T00:00:00Z TO 2026-06-01T00:00:00Z]"
" AND "
"added:[2026-05-01T00:00:00Z TO 2026-06-01T00:00:00Z]"
)
def test_translate_query_text_before_comma_separated_date_clause(self) -> None:
result = translate_query("schäfersee,created:previous year", UTC)
assert result == (
"schäfersee AND created:[2025-01-01T00:00:00Z TO 2026-01-01T00:00:00Z}"
)
def test_invalid_iso_datetime_raises(self) -> None:
# A token with "T" that is not valid ISO datetime -> raise.
with pytest.raises(InvalidDateQuery) as exc_info:
translate_range(
"created",
"2020-01-01T99:00:00Z",
"2021-01-01T00:00:00Z",
UTC,
)
assert exc_info.value.field == "created"
assert exc_info.value.value == "2020-01-01T99:00:00Z"
def test_parse_acceptance_iso_bounds(self, index: tantivy.Index) -> None:
q = "created:[2026-01-01T00:00:00Z TO 2026-06-01T00:00:00Z]"
translated = translate_query(q, UTC)
index.parse_query(translated, DEFAULT_SEARCH_FIELDS, field_boosts=_FIELD_BOOSTS)
def test_parse_acceptance_comma_iso_ranges(self, index: tantivy.Index) -> None:
q = (
"created:[2026-01-01T00:00:00Z TO 2026-06-01T00:00:00Z],"
"added:[2026-05-01T00:00:00Z TO 2026-06-01T00:00:00Z]"
)
translated = translate_query(q, UTC)
index.parse_query(translated, DEFAULT_SEARCH_FIELDS, field_boosts=_FIELD_BOOSTS)
@@ -339,21 +339,3 @@ class TestBulkDownload(DirectoriesMixin, SampleDirMixin, APITestCase):
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(response.content, b"Insufficient permissions")
def test_bad_search_query_returns_400(self) -> None:
response = self.client.post(
self.ENDPOINT,
json.dumps(
{
"all": True,
"filters": {"query": "added:notadate"},
"content": "originals",
},
),
content_type="application/json",
)
# A user-fixable query error must surface as a 400 naming the bad
# value, exactly like the search list endpoint, never a 500.
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.assertIn(b"notadate", response.content)
-19
View File
@@ -1976,22 +1976,3 @@ class TestBulkEditAPI(DirectoriesMixin, APITestCase):
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(LogEntry.objects.filter(object_pk=self.doc1.id).count(), 2)
def test_api_bulk_edit_with_bad_search_query_returns_400(self) -> None:
response = self.client.post(
"/api/documents/bulk_edit/",
json.dumps(
{
"all": True,
"filters": {"query": "added:notadate"},
"method": "set_storage_path",
"parameters": {"storage_path": self.sp1.id},
},
),
content_type="application/json",
)
# A user-fixable query error must surface as a 400 naming the bad
# value, exactly like the search list endpoint, never a 500.
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.assertIn(b"notadate", response.content)
-89
View File
@@ -756,10 +756,6 @@ class TestDocumentSearchApi(DirectoriesMixin, APITestCase):
tick=False,
):
response = self.client.get("/api/documents/?query=added:previous month")
assert response.status_code == 200, (
f"expected a successful search response, got {response.status_code}: "
f"{response.data!r}"
)
results = response.data["results"]
self.assertEqual(len(results), 1)
@@ -792,26 +788,6 @@ class TestDocumentSearchApi(DirectoriesMixin, APITestCase):
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
self.assertIn("invalid-date", str(response.data["query"]))
def test_search_multiple_bad_fields_returns_all_messages(self) -> None:
"""
GIVEN:
- One document added
WHEN:
- Query with multiple bad fields (e.g. invalid date and invalid number)
THEN:
- 400 Bad Request with error messages for every bad field,
so the user can fix them all in one round-trip
"""
response = self.client.get(
"/api/documents/",
{"query": "created:notadate AND asn:notanumber"},
)
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
messages = response.data["query"]
self.assertEqual(len(messages), 2)
self.assertTrue(any("created" in m for m in messages))
self.assertTrue(any("asn" in m for m in messages))
@override_settings(
TIME_ZONE="UTC",
)
@@ -855,29 +831,6 @@ class TestDocumentSearchApi(DirectoriesMixin, APITestCase):
results = response.data["results"]
self.assertEqual({r["id"] for r in results}, {1, 2})
@mock.patch("documents.search._backend.parse_user_query")
def test_search_parser_bug_surfaces_as_500_not_400(self, m) -> None:
"""
GIVEN:
- The query parser itself fails (a whoosh-compat bug, per
QueryParserError's own contract: not user-fixable input)
WHEN:
- Any search request runs
THEN:
- The error surfaces as a 500 monitoring can see, never a 400
blaming the user for a library defect
"""
from whoosh_compat.errors import QueryParserError
m.side_effect = QueryParserError("synthetic parser bug")
self.client.raise_request_exception = False
response = self.client.get("/api/documents/?query=anything")
self.assertEqual(
response.status_code,
status.HTTP_500_INTERNAL_SERVER_ERROR,
)
@mock.patch("documents.search._backend.TantivyBackend.autocomplete")
def test_search_autocomplete_limits(self, m) -> None:
"""
@@ -2052,45 +2005,3 @@ class TestDocumentSearchApi(DirectoriesMixin, APITestCase):
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
response = self.client.get("/api/search/?query=no")
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def _assert_query_finds(self, doc: Document, query: str) -> None:
get_backend().add_or_update(doc)
response = self.client.get("/api/documents/", {"query": query})
self.assertEqual(response.status_code, status.HTTP_200_OK)
ids = [r["id"] for r in response.data["results"]]
self.assertIn(doc.id, ids)
def test_search_by_asn(self) -> None:
doc = Document.objects.create(
title="Has ASN",
content="content",
checksum="asn-checksum",
archive_serial_number=555,
)
self._assert_query_finds(doc, "asn:555")
def test_search_by_page_count(self) -> None:
doc = Document.objects.create(
title="Multi-page",
content="content",
checksum="page-count-checksum",
page_count=42,
)
self._assert_query_finds(doc, "page_count:42")
def test_search_by_original_filename(self) -> None:
doc = Document.objects.create(
title="Named file",
content="content",
checksum="filename-checksum",
original_filename="quarterly-report.pdf",
)
self._assert_query_finds(doc, "original_filename:quarterly-report.pdf")
def test_search_by_checksum(self) -> None:
doc = Document.objects.create(
title="Checksum doc",
content="content",
checksum="deadbeef1234",
)
self._assert_query_finds(doc, "checksum:deadbeef1234")
+14 -33
View File
@@ -2416,14 +2416,11 @@ class UnifiedSearchViewSet(DocumentViewSet):
if not self._is_search_request():
return super().list(request)
from whoosh_compat.errors import QueryParserError
from documents.search import SearchHit
from documents.search import SearchQueryError
from documents.search import TantivyBackend
from documents.search import TantivyRelevanceList
from documents.search import get_backend
from documents.search import search_query_error_messages
def parse_search_params() -> SearchParams:
"""Extract query string, search mode, and ordering from request."""
@@ -2614,15 +2611,10 @@ class UnifiedSearchViewSet(DocumentViewSet):
except ValidationError:
raise
except SearchQueryError as e:
# User-fixable query error(s) (e.g. unparsable dates/numbers):
# surface every offending field's message, not just the first,
# so the user can fix them all in one round-trip.
raise ValidationError({"query": search_query_error_messages(e)}) from e
except QueryParserError:
# A whoosh-compat parser BUG (its own contract: not user-fixable
# input). Let it surface as a 500 monitoring can see instead of
# a 400 blaming the user for a library defect.
raise
# User-fixable query error (e.g. an unparsable date): surface the
# specific message so the user can correct it, rather than a generic
# 400 or silently empty results.
raise ValidationError({"query": [str(e)]}) from e
except Exception as e:
logger.warning(f"An error occurred listing search results: {e!s}")
return HttpResponseBadRequest(
@@ -2763,34 +2755,23 @@ class DocumentSelectionMixin:
},
)
from documents.search import SearchQueryError
from documents.search import get_backend
from documents.search import search_query_error_messages
filter_name = search_filters[0]
backend = get_backend()
search_user = None if user.is_superuser else user
try:
if filter_name == "more_like_id":
more_like_doc_id = _get_more_like_id(filters, user)
if filter_name == "more_like_id":
more_like_doc_id = _get_more_like_id(filters, user)
search_ids = backend.more_like_this_ids(
more_like_doc_id,
user=search_user,
)
else:
query_str, search_mode = _get_tantivy_query_and_mode(filters)
search_ids = backend.search_ids(
query_str,
user=search_user,
search_mode=search_mode,
)
except SearchQueryError as e:
# Same user-fixable-query mapping as the search list endpoint:
# a bad date/number in a bulk selection filter is a 400 naming
# the value, never a 500.
raise ValidationError({"query": search_query_error_messages(e)}) from e
search_ids = backend.more_like_this_ids(more_like_doc_id, user=search_user)
else:
query_str, search_mode = _get_tantivy_query_and_mode(filters)
search_ids = backend.search_ids(
query_str,
user=search_user,
search_mode=search_mode,
)
return search_ids
+10
View File
@@ -1,6 +1,7 @@
import datetime
import logging
import os
from hashlib import sha256
from pathlib import Path
from typing import Any
@@ -172,6 +173,15 @@ def parse_beat_schedule() -> dict:
# Don't add disabled tasks to the schedule
if value == "disable":
continue
if (
task["env_key"] == "PAPERLESS_EMAIL_TASK_CRON"
and task["env_key"] not in os.environ
):
# Spread default polling across the ten-minute interval.
secret = os.environ["PAPERLESS_SECRET_KEY"].encode()
offset = int.from_bytes(sha256(secret).digest()) % 10
minutes = ",".join(str(minute) for minute in range(offset, 60, 10))
value = f"{minutes} * * * *"
# I find https://crontab.guru/ super helpful
# crontab(5) format
# - five time-and-date fields
@@ -168,6 +168,7 @@ class TestParseHostingSettings:
def make_expected_schedule(
overrides: dict[str, dict[str, Any]] | None = None,
disabled: set[str] | None = None,
email_minute: str = "6,16,26,36,46,56",
) -> dict[str, Any]:
"""
Build the expected schedule with optional overrides and disabled tasks.
@@ -185,7 +186,7 @@ def make_expected_schedule(
schedule: dict[str, Any] = {
"Check all e-mail accounts": {
"task": "paperless_mail.tasks.process_mail_accounts",
"schedule": crontab(minute="*/10"),
"schedule": crontab(minute=email_minute),
"options": {
"expires": mail_expire,
"headers": {"trigger_source": "scheduled"},
@@ -266,6 +267,11 @@ class TestParseBeatSchedule:
("env", "expected"),
[
pytest.param({}, make_expected_schedule(), id="defaults"),
pytest.param(
{"PAPERLESS_EMAIL_TASK_CRON": "*/10 * * * *"},
make_expected_schedule(email_minute="*/10"),
id="email-explicit-default",
),
pytest.param(
{"PAPERLESS_EMAIL_TASK_CRON": "*/50 * * * mon"},
make_expected_schedule(
@@ -304,7 +310,11 @@ class TestParseBeatSchedule:
expected: dict[str, Any],
mocker: MockerFixture,
) -> None:
mocker.patch.dict(os.environ, env, clear=False)
mocker.patch.dict(
os.environ,
{"PAPERLESS_SECRET_KEY": "test-secret", **env},
clear=False,
)
schedule = parse_beat_schedule()
assert schedule == expected
Generated
+527 -562
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