mirror of
https://git.anonymousland.org/anonymousland/synapse-product.git
synced 2024-12-29 22:26:10 -05:00
916 lines
31 KiB
Python
916 lines
31 KiB
Python
# Copyright 2015, 2016 OpenMarket Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import enum
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import logging
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import re
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from collections import deque
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from dataclasses import dataclass
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from typing import (
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TYPE_CHECKING,
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Any,
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Collection,
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Iterable,
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List,
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Optional,
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Set,
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Tuple,
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Union,
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)
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import attr
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from synapse.api.errors import SynapseError
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from synapse.events import EventBase
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from synapse.storage._base import SQLBaseStore, db_to_json, make_in_list_sql_clause
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from synapse.storage.database import (
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DatabasePool,
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LoggingDatabaseConnection,
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LoggingTransaction,
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)
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from synapse.storage.databases.main.events_worker import EventRedactBehaviour
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from synapse.storage.engines import PostgresEngine, Sqlite3Engine
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from synapse.types import JsonDict
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if TYPE_CHECKING:
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from synapse.server import HomeServer
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logger = logging.getLogger(__name__)
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@attr.s(slots=True, frozen=True, auto_attribs=True)
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class SearchEntry:
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key: str
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value: str
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event_id: str
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room_id: str
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stream_ordering: Optional[int]
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origin_server_ts: int
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def _clean_value_for_search(value: str) -> str:
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"""
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Replaces any null code points in the string with spaces as
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Postgres and SQLite do not like the insertion of strings with
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null code points into the full-text search tables.
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"""
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return value.replace("\u0000", " ")
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class SearchWorkerStore(SQLBaseStore):
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def store_search_entries_txn(
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self, txn: LoggingTransaction, entries: Iterable[SearchEntry]
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) -> None:
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"""Add entries to the search table
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Args:
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txn:
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entries: entries to be added to the table
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"""
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if not self.hs.config.server.enable_search:
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return
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if isinstance(self.database_engine, PostgresEngine):
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sql = """
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INSERT INTO event_search
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(event_id, room_id, key, vector, stream_ordering, origin_server_ts)
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VALUES (?,?,?,to_tsvector('english', ?),?,?)
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"""
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args1 = (
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(
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entry.event_id,
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entry.room_id,
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entry.key,
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_clean_value_for_search(entry.value),
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entry.stream_ordering,
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entry.origin_server_ts,
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)
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for entry in entries
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)
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txn.execute_batch(sql, args1)
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elif isinstance(self.database_engine, Sqlite3Engine):
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self.db_pool.simple_insert_many_txn(
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txn,
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table="event_search",
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keys=("event_id", "room_id", "key", "value"),
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values=(
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(
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entry.event_id,
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entry.room_id,
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entry.key,
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_clean_value_for_search(entry.value),
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)
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for entry in entries
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),
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)
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else:
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# This should be unreachable.
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raise Exception("Unrecognized database engine")
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class SearchBackgroundUpdateStore(SearchWorkerStore):
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EVENT_SEARCH_UPDATE_NAME = "event_search"
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EVENT_SEARCH_ORDER_UPDATE_NAME = "event_search_order"
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EVENT_SEARCH_USE_GIN_POSTGRES_NAME = "event_search_postgres_gin"
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EVENT_SEARCH_DELETE_NON_STRINGS = "event_search_sqlite_delete_non_strings"
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def __init__(
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self,
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database: DatabasePool,
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db_conn: LoggingDatabaseConnection,
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hs: "HomeServer",
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):
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super().__init__(database, db_conn, hs)
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self.db_pool.updates.register_background_update_handler(
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self.EVENT_SEARCH_UPDATE_NAME, self._background_reindex_search
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)
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self.db_pool.updates.register_background_update_handler(
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self.EVENT_SEARCH_ORDER_UPDATE_NAME, self._background_reindex_search_order
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)
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self.db_pool.updates.register_background_update_handler(
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self.EVENT_SEARCH_USE_GIN_POSTGRES_NAME, self._background_reindex_gin_search
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)
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self.db_pool.updates.register_background_update_handler(
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self.EVENT_SEARCH_DELETE_NON_STRINGS, self._background_delete_non_strings
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)
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async def _background_reindex_search(
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self, progress: JsonDict, batch_size: int
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) -> int:
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# we work through the events table from highest stream id to lowest
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target_min_stream_id = progress["target_min_stream_id_inclusive"]
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max_stream_id = progress["max_stream_id_exclusive"]
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rows_inserted = progress.get("rows_inserted", 0)
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TYPES = ["m.room.name", "m.room.message", "m.room.topic"]
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def reindex_search_txn(txn: LoggingTransaction) -> int:
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sql = """
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SELECT stream_ordering, event_id, room_id, type, json, origin_server_ts
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FROM events
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JOIN event_json USING (room_id, event_id)
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WHERE ? <= stream_ordering AND stream_ordering < ?
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AND (%s)
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ORDER BY stream_ordering DESC
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LIMIT ?
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""" % (
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" OR ".join("type = '%s'" % (t,) for t in TYPES),
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)
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txn.execute(sql, (target_min_stream_id, max_stream_id, batch_size))
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# we could stream straight from the results into
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# store_search_entries_txn with a generator function, but that
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# would mean having two cursors open on the database at once.
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# Instead we just build a list of results.
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rows = self.db_pool.cursor_to_dict(txn)
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if not rows:
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return 0
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min_stream_id = rows[-1]["stream_ordering"]
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event_search_rows = []
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for row in rows:
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try:
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event_id = row["event_id"]
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room_id = row["room_id"]
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etype = row["type"]
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stream_ordering = row["stream_ordering"]
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origin_server_ts = row["origin_server_ts"]
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try:
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event_json = db_to_json(row["json"])
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content = event_json["content"]
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except Exception:
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continue
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if etype == "m.room.message":
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key = "content.body"
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value = content["body"]
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elif etype == "m.room.topic":
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key = "content.topic"
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value = content["topic"]
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elif etype == "m.room.name":
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key = "content.name"
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value = content["name"]
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else:
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raise Exception("unexpected event type %s" % etype)
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except (KeyError, AttributeError):
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# If the event is missing a necessary field then
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# skip over it.
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continue
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if not isinstance(value, str):
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# If the event body, name or topic isn't a string
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# then skip over it
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continue
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event_search_rows.append(
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SearchEntry(
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key=key,
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value=value,
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event_id=event_id,
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room_id=room_id,
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stream_ordering=stream_ordering,
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origin_server_ts=origin_server_ts,
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)
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)
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self.store_search_entries_txn(txn, event_search_rows)
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progress = {
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"target_min_stream_id_inclusive": target_min_stream_id,
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"max_stream_id_exclusive": min_stream_id,
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"rows_inserted": rows_inserted + len(event_search_rows),
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}
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self.db_pool.updates._background_update_progress_txn(
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txn, self.EVENT_SEARCH_UPDATE_NAME, progress
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)
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return len(event_search_rows)
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if self.hs.config.server.enable_search:
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result = await self.db_pool.runInteraction(
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self.EVENT_SEARCH_UPDATE_NAME, reindex_search_txn
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)
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else:
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# Don't index anything if search is not enabled.
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result = 0
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if not result:
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await self.db_pool.updates._end_background_update(
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self.EVENT_SEARCH_UPDATE_NAME
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)
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return result
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async def _background_reindex_gin_search(
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self, progress: JsonDict, batch_size: int
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) -> int:
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"""This handles old synapses which used GIST indexes, if any;
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converting them back to be GIN as per the actual schema.
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"""
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def create_index(conn: LoggingDatabaseConnection) -> None:
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conn.rollback()
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# we have to set autocommit, because postgres refuses to
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# CREATE INDEX CONCURRENTLY without it.
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conn.set_session(autocommit=True)
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try:
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c = conn.cursor()
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# if we skipped the conversion to GIST, we may already/still
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# have an event_search_fts_idx; unfortunately postgres 9.4
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# doesn't support CREATE INDEX IF EXISTS so we just catch the
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# exception and ignore it.
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import psycopg2
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try:
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c.execute(
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"""
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CREATE INDEX CONCURRENTLY event_search_fts_idx
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ON event_search USING GIN (vector)
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"""
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)
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except psycopg2.ProgrammingError as e:
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logger.warning(
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"Ignoring error %r when trying to switch from GIST to GIN", e
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)
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# we should now be able to delete the GIST index.
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c.execute("DROP INDEX IF EXISTS event_search_fts_idx_gist")
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finally:
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conn.set_session(autocommit=False)
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if isinstance(self.database_engine, PostgresEngine):
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await self.db_pool.runWithConnection(create_index)
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await self.db_pool.updates._end_background_update(
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self.EVENT_SEARCH_USE_GIN_POSTGRES_NAME
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)
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return 1
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async def _background_reindex_search_order(
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self, progress: JsonDict, batch_size: int
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) -> int:
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target_min_stream_id = progress["target_min_stream_id_inclusive"]
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max_stream_id = progress["max_stream_id_exclusive"]
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rows_inserted = progress.get("rows_inserted", 0)
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have_added_index = progress["have_added_indexes"]
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if not have_added_index:
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def create_index(conn: LoggingDatabaseConnection) -> None:
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conn.rollback()
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conn.set_session(autocommit=True)
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c = conn.cursor()
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# We create with NULLS FIRST so that when we search *backwards*
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# we get the ones with non null origin_server_ts *first*
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c.execute(
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"""
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CREATE INDEX CONCURRENTLY event_search_room_order
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ON event_search(room_id, origin_server_ts NULLS FIRST, stream_ordering NULLS FIRST)
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"""
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)
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c.execute(
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"""
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CREATE INDEX CONCURRENTLY event_search_order
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ON event_search(origin_server_ts NULLS FIRST, stream_ordering NULLS FIRST)
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"""
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)
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conn.set_session(autocommit=False)
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await self.db_pool.runWithConnection(create_index)
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pg = dict(progress)
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pg["have_added_indexes"] = True
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await self.db_pool.runInteraction(
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self.EVENT_SEARCH_ORDER_UPDATE_NAME,
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self.db_pool.updates._background_update_progress_txn,
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self.EVENT_SEARCH_ORDER_UPDATE_NAME,
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pg,
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)
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def reindex_search_txn(txn: LoggingTransaction) -> Tuple[int, bool]:
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sql = """
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UPDATE event_search AS es
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SET stream_ordering = e.stream_ordering, origin_server_ts = e.origin_server_ts
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FROM events AS e
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WHERE e.event_id = es.event_id
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AND ? <= e.stream_ordering AND e.stream_ordering < ?
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RETURNING es.stream_ordering
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"""
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min_stream_id = max_stream_id - batch_size
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txn.execute(sql, (min_stream_id, max_stream_id))
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rows = txn.fetchall()
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if min_stream_id < target_min_stream_id:
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# We've recached the end.
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return len(rows), False
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progress = {
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"target_min_stream_id_inclusive": target_min_stream_id,
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"max_stream_id_exclusive": min_stream_id,
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"rows_inserted": rows_inserted + len(rows),
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"have_added_indexes": True,
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}
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self.db_pool.updates._background_update_progress_txn(
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txn, self.EVENT_SEARCH_ORDER_UPDATE_NAME, progress
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)
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return len(rows), True
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num_rows, finished = await self.db_pool.runInteraction(
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self.EVENT_SEARCH_ORDER_UPDATE_NAME, reindex_search_txn
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)
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if not finished:
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await self.db_pool.updates._end_background_update(
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self.EVENT_SEARCH_ORDER_UPDATE_NAME
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)
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return num_rows
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async def _background_delete_non_strings(
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self, progress: JsonDict, batch_size: int
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) -> int:
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"""Deletes rows with non-string `value`s from `event_search` if using sqlite.
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Prior to Synapse 1.44.0, malformed events received over federation could cause integers
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to be inserted into the `event_search` table when using sqlite.
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"""
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def delete_non_strings_txn(txn: LoggingTransaction) -> None:
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txn.execute("DELETE FROM event_search WHERE typeof(value) != 'text'")
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await self.db_pool.runInteraction(
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self.EVENT_SEARCH_DELETE_NON_STRINGS, delete_non_strings_txn
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)
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await self.db_pool.updates._end_background_update(
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self.EVENT_SEARCH_DELETE_NON_STRINGS
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)
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return 1
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class SearchStore(SearchBackgroundUpdateStore):
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def __init__(
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self,
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database: DatabasePool,
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db_conn: LoggingDatabaseConnection,
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hs: "HomeServer",
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):
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super().__init__(database, db_conn, hs)
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async def search_msgs(
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self, room_ids: Collection[str], search_term: str, keys: Iterable[str]
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) -> JsonDict:
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"""Performs a full text search over events with given keys.
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Args:
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room_ids: List of room ids to search in
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search_term: Search term to search for
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keys: List of keys to search in, currently supports
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"content.body", "content.name", "content.topic"
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Returns:
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Dictionary of results
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"""
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clauses = []
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args: List[Any] = []
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# Make sure we don't explode because the person is in too many rooms.
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# We filter the results below regardless.
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if len(room_ids) < 500:
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clause, args = make_in_list_sql_clause(
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self.database_engine, "room_id", room_ids
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)
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clauses = [clause]
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local_clauses = []
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for key in keys:
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local_clauses.append("key = ?")
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args.append(key)
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clauses.append("(%s)" % (" OR ".join(local_clauses),))
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count_args = args
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count_clauses = clauses
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if isinstance(self.database_engine, PostgresEngine):
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search_query = search_term
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tsquery_func = self.database_engine.tsquery_func
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sql = f"""
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SELECT ts_rank_cd(vector, {tsquery_func}('english', ?)) AS rank,
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room_id, event_id
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FROM event_search
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WHERE vector @@ {tsquery_func}('english', ?)
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"""
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args = [search_query, search_query] + args
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count_sql = f"""
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SELECT room_id, count(*) as count FROM event_search
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WHERE vector @@ {tsquery_func}('english', ?)
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"""
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count_args = [search_query] + count_args
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elif isinstance(self.database_engine, Sqlite3Engine):
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search_query = _parse_query_for_sqlite(search_term)
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sql = """
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SELECT rank(matchinfo(event_search)) as rank, room_id, event_id
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FROM event_search
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WHERE value MATCH ?
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"""
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args = [search_query] + args
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count_sql = """
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SELECT room_id, count(*) as count FROM event_search
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WHERE value MATCH ?
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"""
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count_args = [search_query] + count_args
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else:
|
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# This should be unreachable.
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raise Exception("Unrecognized database engine")
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for clause in clauses:
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sql += " AND " + clause
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for clause in count_clauses:
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count_sql += " AND " + clause
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# We add an arbitrary limit here to ensure we don't try to pull the
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# entire table from the database.
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sql += " ORDER BY rank DESC LIMIT 500"
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results = await self.db_pool.execute(
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"search_msgs", self.db_pool.cursor_to_dict, sql, *args
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)
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results = list(filter(lambda row: row["room_id"] in room_ids, results))
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# We set redact_behaviour to block here to prevent redacted events being returned in
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# search results (which is a data leak)
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events = await self.get_events_as_list( # type: ignore[attr-defined]
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[r["event_id"] for r in results],
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redact_behaviour=EventRedactBehaviour.block,
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)
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event_map = {ev.event_id: ev for ev in events}
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|
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highlights = None
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if isinstance(self.database_engine, PostgresEngine):
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highlights = await self._find_highlights_in_postgres(
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search_query, events, tsquery_func
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)
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count_sql += " GROUP BY room_id"
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|
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count_results = await self.db_pool.execute(
|
|
"search_rooms_count", self.db_pool.cursor_to_dict, count_sql, *count_args
|
|
)
|
|
|
|
count = sum(row["count"] for row in count_results if row["room_id"] in room_ids)
|
|
return {
|
|
"results": [
|
|
{"event": event_map[r["event_id"]], "rank": r["rank"]}
|
|
for r in results
|
|
if r["event_id"] in event_map
|
|
],
|
|
"highlights": highlights,
|
|
"count": count,
|
|
}
|
|
|
|
async def search_rooms(
|
|
self,
|
|
room_ids: Collection[str],
|
|
search_term: str,
|
|
keys: Iterable[str],
|
|
limit: int,
|
|
pagination_token: Optional[str] = None,
|
|
) -> JsonDict:
|
|
"""Performs a full text search over events with given keys.
|
|
|
|
Args:
|
|
room_ids: The room_ids to search in
|
|
search_term: Search term to search for
|
|
keys: List of keys to search in, currently supports "content.body",
|
|
"content.name", "content.topic"
|
|
pagination_token: A pagination token previously returned
|
|
|
|
Returns:
|
|
Each match as a dictionary.
|
|
"""
|
|
clauses = []
|
|
args: List[Any] = []
|
|
|
|
# Make sure we don't explode because the person is in too many rooms.
|
|
# We filter the results below regardless.
|
|
if len(room_ids) < 500:
|
|
clause, args = make_in_list_sql_clause(
|
|
self.database_engine, "room_id", room_ids
|
|
)
|
|
clauses = [clause]
|
|
|
|
local_clauses = []
|
|
for key in keys:
|
|
local_clauses.append("key = ?")
|
|
args.append(key)
|
|
|
|
clauses.append("(%s)" % (" OR ".join(local_clauses),))
|
|
|
|
# take copies of the current args and clauses lists, before adding
|
|
# pagination clauses to main query.
|
|
count_args = list(args)
|
|
count_clauses = list(clauses)
|
|
|
|
if pagination_token:
|
|
try:
|
|
origin_server_ts_str, stream_str = pagination_token.split(",")
|
|
origin_server_ts = int(origin_server_ts_str)
|
|
stream = int(stream_str)
|
|
except Exception:
|
|
raise SynapseError(400, "Invalid pagination token")
|
|
|
|
clauses.append(
|
|
"""
|
|
(origin_server_ts < ? OR (origin_server_ts = ? AND stream_ordering < ?))
|
|
"""
|
|
)
|
|
args.extend([origin_server_ts, origin_server_ts, stream])
|
|
|
|
if isinstance(self.database_engine, PostgresEngine):
|
|
search_query = search_term
|
|
tsquery_func = self.database_engine.tsquery_func
|
|
sql = f"""
|
|
SELECT ts_rank_cd(vector, {tsquery_func}('english', ?)) as rank,
|
|
origin_server_ts, stream_ordering, room_id, event_id
|
|
FROM event_search
|
|
WHERE vector @@ {tsquery_func}('english', ?) AND
|
|
"""
|
|
args = [search_query, search_query] + args
|
|
|
|
count_sql = f"""
|
|
SELECT room_id, count(*) as count FROM event_search
|
|
WHERE vector @@ {tsquery_func}('english', ?) AND
|
|
"""
|
|
count_args = [search_query] + count_args
|
|
elif isinstance(self.database_engine, Sqlite3Engine):
|
|
|
|
# We use CROSS JOIN here to ensure we use the right indexes.
|
|
# https://sqlite.org/optoverview.html#crossjoin
|
|
#
|
|
# We want to use the full text search index on event_search to
|
|
# extract all possible matches first, then lookup those matches
|
|
# in the events table to get the topological ordering. We need
|
|
# to use the indexes in this order because sqlite refuses to
|
|
# MATCH unless it uses the full text search index
|
|
sql = """
|
|
SELECT
|
|
rank(matchinfo) as rank, room_id, event_id, origin_server_ts, stream_ordering
|
|
FROM (
|
|
SELECT key, event_id, matchinfo(event_search) as matchinfo
|
|
FROM event_search
|
|
WHERE value MATCH ?
|
|
)
|
|
CROSS JOIN events USING (event_id)
|
|
WHERE
|
|
"""
|
|
search_query = _parse_query_for_sqlite(search_term)
|
|
args = [search_query] + args
|
|
|
|
count_sql = """
|
|
SELECT room_id, count(*) as count FROM event_search
|
|
WHERE value MATCH ? AND
|
|
"""
|
|
count_args = [search_query] + count_args
|
|
else:
|
|
# This should be unreachable.
|
|
raise Exception("Unrecognized database engine")
|
|
|
|
sql += " AND ".join(clauses)
|
|
count_sql += " AND ".join(count_clauses)
|
|
|
|
# We add an arbitrary limit here to ensure we don't try to pull the
|
|
# entire table from the database.
|
|
if isinstance(self.database_engine, PostgresEngine):
|
|
sql += """
|
|
ORDER BY origin_server_ts DESC NULLS LAST, stream_ordering DESC NULLS LAST
|
|
LIMIT ?
|
|
"""
|
|
elif isinstance(self.database_engine, Sqlite3Engine):
|
|
sql += " ORDER BY origin_server_ts DESC, stream_ordering DESC LIMIT ?"
|
|
else:
|
|
raise Exception("Unrecognized database engine")
|
|
|
|
# mypy expects to append only a `str`, not an `int`
|
|
args.append(limit)
|
|
|
|
results = await self.db_pool.execute(
|
|
"search_rooms", self.db_pool.cursor_to_dict, sql, *args
|
|
)
|
|
|
|
results = list(filter(lambda row: row["room_id"] in room_ids, results))
|
|
|
|
# We set redact_behaviour to block here to prevent redacted events being returned in
|
|
# search results (which is a data leak)
|
|
events = await self.get_events_as_list( # type: ignore[attr-defined]
|
|
[r["event_id"] for r in results],
|
|
redact_behaviour=EventRedactBehaviour.block,
|
|
)
|
|
|
|
event_map = {ev.event_id: ev for ev in events}
|
|
|
|
highlights = None
|
|
if isinstance(self.database_engine, PostgresEngine):
|
|
highlights = await self._find_highlights_in_postgres(
|
|
search_query, events, tsquery_func
|
|
)
|
|
|
|
count_sql += " GROUP BY room_id"
|
|
|
|
count_results = await self.db_pool.execute(
|
|
"search_rooms_count", self.db_pool.cursor_to_dict, count_sql, *count_args
|
|
)
|
|
|
|
count = sum(row["count"] for row in count_results if row["room_id"] in room_ids)
|
|
|
|
return {
|
|
"results": [
|
|
{
|
|
"event": event_map[r["event_id"]],
|
|
"rank": r["rank"],
|
|
"pagination_token": "%s,%s"
|
|
% (r["origin_server_ts"], r["stream_ordering"]),
|
|
}
|
|
for r in results
|
|
if r["event_id"] in event_map
|
|
],
|
|
"highlights": highlights,
|
|
"count": count,
|
|
}
|
|
|
|
async def _find_highlights_in_postgres(
|
|
self, search_query: str, events: List[EventBase], tsquery_func: str
|
|
) -> Set[str]:
|
|
"""Given a list of events and a search term, return a list of words
|
|
that match from the content of the event.
|
|
|
|
This is used to give a list of words that clients can match against to
|
|
highlight the matching parts.
|
|
|
|
Args:
|
|
search_query
|
|
events: A list of events
|
|
tsquery_func: The tsquery_* function to use when making queries
|
|
|
|
Returns:
|
|
A set of strings.
|
|
"""
|
|
|
|
def f(txn: LoggingTransaction) -> Set[str]:
|
|
highlight_words = set()
|
|
for event in events:
|
|
# As a hack we simply join values of all possible keys. This is
|
|
# fine since we're only using them to find possible highlights.
|
|
values = []
|
|
for key in ("body", "name", "topic"):
|
|
v = event.content.get(key, None)
|
|
if v:
|
|
v = _clean_value_for_search(v)
|
|
values.append(v)
|
|
|
|
if not values:
|
|
continue
|
|
|
|
value = " ".join(values)
|
|
|
|
# We need to find some values for StartSel and StopSel that
|
|
# aren't in the value so that we can pick results out.
|
|
start_sel = "<"
|
|
stop_sel = ">"
|
|
|
|
while start_sel in value:
|
|
start_sel += "<"
|
|
while stop_sel in value:
|
|
stop_sel += ">"
|
|
|
|
query = f"SELECT ts_headline(?, {tsquery_func}('english', ?), %s)" % (
|
|
_to_postgres_options(
|
|
{
|
|
"StartSel": start_sel,
|
|
"StopSel": stop_sel,
|
|
"MaxFragments": "50",
|
|
}
|
|
)
|
|
)
|
|
txn.execute(query, (value, search_query))
|
|
(headline,) = txn.fetchall()[0]
|
|
|
|
# Now we need to pick the possible highlights out of the haedline
|
|
# result.
|
|
matcher_regex = "%s(.*?)%s" % (
|
|
re.escape(start_sel),
|
|
re.escape(stop_sel),
|
|
)
|
|
|
|
res = re.findall(matcher_regex, headline)
|
|
highlight_words.update([r.lower() for r in res])
|
|
|
|
return highlight_words
|
|
|
|
return await self.db_pool.runInteraction("_find_highlights", f)
|
|
|
|
|
|
def _to_postgres_options(options_dict: JsonDict) -> str:
|
|
return "'%s'" % (",".join("%s=%s" % (k, v) for k, v in options_dict.items()),)
|
|
|
|
|
|
@dataclass
|
|
class Phrase:
|
|
phrase: List[str]
|
|
|
|
|
|
class SearchToken(enum.Enum):
|
|
Not = enum.auto()
|
|
Or = enum.auto()
|
|
And = enum.auto()
|
|
|
|
|
|
Token = Union[str, Phrase, SearchToken]
|
|
TokenList = List[Token]
|
|
|
|
|
|
def _is_stop_word(word: str) -> bool:
|
|
# TODO Pull these out of the dictionary:
|
|
# https://github.com/postgres/postgres/blob/master/src/backend/snowball/stopwords/english.stop
|
|
return word in {"the", "a", "you", "me", "and", "but"}
|
|
|
|
|
|
def _tokenize_query(query: str) -> TokenList:
|
|
"""
|
|
Convert the user-supplied `query` into a TokenList, which can be translated into
|
|
some DB-specific syntax.
|
|
|
|
The following constructs are supported:
|
|
|
|
- phrase queries using "double quotes"
|
|
- case-insensitive `or` and `and` operators
|
|
- negation of a keyword via unary `-`
|
|
- unary hyphen to denote NOT e.g. 'include -exclude'
|
|
|
|
The following differs from websearch_to_tsquery:
|
|
|
|
- Stop words are not removed.
|
|
- Unclosed phrases are treated differently.
|
|
|
|
"""
|
|
tokens: TokenList = []
|
|
|
|
# Find phrases.
|
|
in_phrase = False
|
|
parts = deque(query.split('"'))
|
|
for i, part in enumerate(parts):
|
|
# The contents inside double quotes is treated as a phrase.
|
|
in_phrase = bool(i % 2)
|
|
|
|
# Pull out the individual words, discarding any non-word characters.
|
|
words = deque(re.findall(r"([\w\-]+)", part, re.UNICODE))
|
|
|
|
# Phrases have simplified handling of words.
|
|
if in_phrase:
|
|
# Skip stop words.
|
|
phrase = [word for word in words if not _is_stop_word(word)]
|
|
|
|
# Consecutive words are implicitly ANDed together.
|
|
if tokens and tokens[-1] not in (SearchToken.Not, SearchToken.Or):
|
|
tokens.append(SearchToken.And)
|
|
|
|
# Add the phrase.
|
|
tokens.append(Phrase(phrase))
|
|
continue
|
|
|
|
# Otherwise, not in a phrase.
|
|
while words:
|
|
word = words.popleft()
|
|
|
|
if word.startswith("-"):
|
|
tokens.append(SearchToken.Not)
|
|
|
|
# If there's more word, put it back to be processed again.
|
|
word = word[1:]
|
|
if word:
|
|
words.appendleft(word)
|
|
elif word.lower() == "or":
|
|
tokens.append(SearchToken.Or)
|
|
else:
|
|
# Skip stop words.
|
|
if _is_stop_word(word):
|
|
continue
|
|
|
|
# Consecutive words are implicitly ANDed together.
|
|
if tokens and tokens[-1] not in (SearchToken.Not, SearchToken.Or):
|
|
tokens.append(SearchToken.And)
|
|
|
|
# Add the search term.
|
|
tokens.append(word)
|
|
|
|
return tokens
|
|
|
|
|
|
def _tokens_to_sqlite_match_query(tokens: TokenList) -> str:
|
|
"""
|
|
Convert the list of tokens to a string suitable for passing to sqlite's MATCH.
|
|
Assume sqlite was compiled with enhanced query syntax.
|
|
|
|
Ref: https://www.sqlite.org/fts3.html#full_text_index_queries
|
|
"""
|
|
match_query = []
|
|
for token in tokens:
|
|
if isinstance(token, str):
|
|
match_query.append(token)
|
|
elif isinstance(token, Phrase):
|
|
match_query.append('"' + " ".join(token.phrase) + '"')
|
|
elif token == SearchToken.Not:
|
|
# TODO: SQLite treats NOT as a *binary* operator. Hopefully a search
|
|
# term has already been added before this.
|
|
match_query.append(" NOT ")
|
|
elif token == SearchToken.Or:
|
|
match_query.append(" OR ")
|
|
elif token == SearchToken.And:
|
|
match_query.append(" AND ")
|
|
else:
|
|
raise ValueError(f"unknown token {token}")
|
|
|
|
return "".join(match_query)
|
|
|
|
|
|
def _parse_query_for_sqlite(search_term: str) -> str:
|
|
"""Takes a plain unicode string from the user and converts it into a form
|
|
that can be passed to sqllite's matchinfo().
|
|
"""
|
|
return _tokens_to_sqlite_match_query(_tokenize_query(search_term))
|