refactor(search): delete _translate.py/_dates.py, superseded by whoosh-compat

This commit is contained in:
Trenton Holmes
2026-08-18 11:05:04 -07:00
parent 5942cfb860
commit a0de357ae9
5 changed files with 1 additions and 1707 deletions
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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)}"
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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
from documents.search._query import InvalidDateQuery
from documents.search._query import SearchQueryError # noqa: F401
# 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
_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}"
@@ -1,132 +0,0 @@
"""Transitional coverage audit: every date keyword/unit _dates.py and
_translate.py accept today must still parse cleanly (no diagnostics)
through whoosh-compat, before those modules are deleted (Task 14). This
test is deleted in the same task as the legacy code it audits — superseded by the permanent
result-level acceptance corpus (Task 12).
"""
from __future__ import annotations
from datetime import UTC
from datetime import datetime
import pytest
import time_machine
import whoosh_compat as wc
from documents.search._dates import _DATE_KEYWORDS
from documents.search._registry import get_field_registry
from documents.search._translate import _UNIT_ALIASES
FROZEN_NOW = datetime(2026, 6, 15, 12, 0, tzinfo=UTC)
@pytest.fixture
def registry():
return get_field_registry(None)
@pytest.mark.parametrize("keyword", sorted(_DATE_KEYWORDS))
def test_date_keyword_parses_without_diagnostics(keyword, registry) -> None:
with time_machine.travel(FROZEN_NOW, tick=False):
result = wc.parse(
f"created:{keyword}" if " " not in keyword else f'created:"{keyword}"',
registry=registry,
default_fields=["content"],
tz=UTC,
)
assert result.diagnostics == (), (
f"{keyword!r} produced diagnostics: {result.diagnostics}"
)
@pytest.mark.parametrize(
("unit_alias", "sign"),
[(alias, sign) for alias in sorted(_UNIT_ALIASES) for sign in ("+", "-")],
)
def test_relative_offset_unit_parses_without_diagnostics(
unit_alias,
sign,
registry,
) -> None:
# Whoosh-era abbreviated units (yrs, mos, wks, hrs, mins, secs, etc.)
# kept for saved-view back-compat — every key of _UNIT_ALIASES must still
# parse under whoosh-compat's grammar.
token = f"{sign}3 {unit_alias}"
with time_machine.travel(FROZEN_NOW, tick=False):
result = wc.parse(
f'created:"{token}"',
registry=registry,
default_fields=["content"],
tz=UTC,
)
assert result.diagnostics == (), (
f"{token!r} produced diagnostics: {result.diagnostics}"
)
@pytest.mark.parametrize(
"token",
["now", "now-7d", "now+1h", "now-30m", "now+30m"],
)
def test_compact_now_offset_parses_without_diagnostics(token, registry) -> None:
with time_machine.travel(FROZEN_NOW, tick=False):
result = wc.parse(
f"created:{token}",
registry=registry,
default_fields=["content"],
tz=UTC,
)
assert result.diagnostics == (), (
f"{token!r} produced diagnostics: {result.diagnostics}"
)
@pytest.mark.parametrize(
"digits",
["2020", "202006", "20200615"],
)
def test_digit_precision_forms_parse_without_diagnostics(digits, registry) -> None:
with time_machine.travel(FROZEN_NOW, tick=False):
result = wc.parse(
f"created:{digits}",
registry=registry,
default_fields=["content"],
tz=UTC,
)
assert result.diagnostics == ()
@pytest.mark.parametrize(
"iso",
["2020", "2020-06", "2020-06-15"],
)
def test_iso_dash_forms_parse_without_diagnostics(iso, registry) -> None:
with time_machine.travel(FROZEN_NOW, tick=False):
result = wc.parse(
f"created:{iso}",
registry=registry,
default_fields=["content"],
tz=UTC,
)
assert result.diagnostics == ()
@pytest.mark.parametrize(
"range_query",
[
"created:[2020 TO 2025]",
"created:[2020 TO]",
"created:[TO 2025]",
"created:[2025 TO 2020]", # reversed — legacy code swaps bounds
],
)
def test_range_forms_parse_without_diagnostics(range_query, registry) -> None:
with time_machine.travel(FROZEN_NOW, tick=False):
result = wc.parse(
range_query,
registry=registry,
default_fields=["content"],
tz=UTC,
)
assert result.diagnostics == (), f"{range_query!r}: {result.diagnostics}"
+1 -1
View File
@@ -8,6 +8,7 @@ import pytest
import tantivy
import time_machine
from documents.search._query import InvalidDateQuery
from documents.search._query import InvalidNumberQuery
from documents.search._query import MultipleSearchQueryErrors
from documents.search._query import build_permission_filter
@@ -15,7 +16,6 @@ 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
if TYPE_CHECKING:
from django.contrib.auth.base_user import AbstractBaseUser
@@ -1,810 +0,0 @@
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)