363 lines
12 KiB
Python
363 lines
12 KiB
Python
#!/usr/bin/env python3
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# Libervia plugin to handle XMPP entities search
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# Copyright (C) 2009-2023 Jérôme Poisson (goffi@goffi.org)
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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from collections import OrderedDict
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import difflib
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from typing import Annotated, Iterator, Literal, NamedTuple
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from pydantic import BaseModel, Field, RootModel
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from twisted.internet import defer
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from twisted.words.protocols.jabber import jid
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from libervia.backend.core.constants import Const as C
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from libervia.backend.core.core_types import SatXMPPClient, SatXMPPEntity
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from libervia.backend.core.i18n import _
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from libervia.backend.core.log import getLogger
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from libervia.backend.models.types import JIDType
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log = getLogger(__name__)
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PLUGIN_INFO = {
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C.PI_NAME: "JID Search",
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C.PI_IMPORT_NAME: "JID_SEARCH",
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C.PI_TYPE: C.PLUG_TYPE_MISC,
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C.PI_MODES: C.PLUG_MODE_BOTH,
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C.PI_PROTOCOLS: [],
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C.PI_DEPENDENCIES: [],
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C.PI_RECOMMENDATIONS: [],
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C.PI_MAIN: "JidSearch",
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C.PI_HANDLER: "no",
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C.PI_DESCRIPTION: _("""Search for XMPP entities"""),
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}
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RATIO_CUTOFF = 0.6
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# Used when a search term matches a substring of a relevant data.
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PARTIAL_MATCH_RATIO = 0.8
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MAX_CACHE_SIZE = 10
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class JidSearchItem(BaseModel):
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entity: JIDType
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name: str = ""
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exact_match: bool = False
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relevance: float | None = None
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class EntitySearchItem(JidSearchItem):
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type: Literal["entity"] = "entity"
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in_roster: bool = False
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groups: list[str] | None = None
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class RoomSearchItem(JidSearchItem):
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type: Literal["room"] = "room"
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local: bool = Field(
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description="True if the room comes from a server local component."
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)
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service_type: str | None = None
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description: str | None = None
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language: str | None = None
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nusers: int | None = Field(default=None, ge=0)
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anonymity_mode: str | None = None
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is_open: bool | None = None
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SearchItem = Annotated[EntitySearchItem | RoomSearchItem, Field(discriminator="type")]
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class SearchItems(RootModel):
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root: list[SearchItem]
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def __iter__(self) -> Iterator[SearchItem]: # type: ignore
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return iter(self.root)
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def __getitem__(self, item) -> str:
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return self.root[item]
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def __len__(self) -> int:
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return len(self.root)
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def append(self, item: SearchItem) -> None:
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self.root.append(item)
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def sort(self, key=None, reverse=False) -> None:
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self.root.sort(key=key, reverse=reverse) # type: ignore
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class Options(BaseModel):
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entities: bool = Field(
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default=False, description="Search for entities for direct chat"
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)
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groupchat: bool = Field(
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default=False, description="Search for group chats."
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)
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allow_external: bool = Field(
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default=False, description="Authorise doing request to external services."
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)
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class CachedSearch(NamedTuple):
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search_items: SearchItems
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options: Options
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JidSearchCache = OrderedDict[str, CachedSearch]
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class JidSearch:
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def __init__(self, host) -> None:
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log.info(f"plugin {PLUGIN_INFO[C.PI_NAME]!r} initialization")
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self.host = host
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host.bridge.add_method(
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"jid_search",
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".plugin",
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in_sign="sss",
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out_sign="s",
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method=self._search,
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async_=True,
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)
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def profile_connecting(self, client: SatXMPPEntity) -> None:
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client._jid_search_cache = JidSearchCache()
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def _search(self, search_term: str, options_s: str, profile: str) -> defer.Deferred:
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client = self.host.get_client(profile)
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options = Options.model_validate_json(options_s)
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d = defer.ensureDeferred(self.search(client, search_term, options))
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d.addCallback(lambda search_items: search_items.model_dump_json())
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return d
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async def search(
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self,
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client: SatXMPPEntity,
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search_term: str,
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options: Options | dict | None = None,
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) -> SearchItems:
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"""Searches for entities in various locations.
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@param client: The SatXMPPEntity client where the search is to be performed.
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@param search_term: The query to be searched.
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@param options: Additional search options.
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@return: A list of matches found.
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"""
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if options is None:
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options = Options()
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elif isinstance(options, dict):
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options = Options(**options)
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search_term = search_term.strip().lower()
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sequence_matcher = difflib.SequenceMatcher()
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sequence_matcher.set_seq1(search_term)
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# FIXME: cache can give different results due to the filtering mechanism (if a
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# cached search term match the beginning of current search term, its results a
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# re-used and filtered, and sometimes items can be missing in compraison to the
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# results without caching). This may need to be fixed.
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cache: JidSearchCache = client._jid_search_cache
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# Look for a match in the cache
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for cache_key in cache:
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if search_term.startswith(cache_key):
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cached_data = cache[cache_key]
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if cached_data.options != options:
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log.debug("Ignoring cached data due to incompatible options.")
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continue
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log.debug(
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f"Match found in cache for {search_term!r} in [{client.profile}]."
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)
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# If an exact match is found, return the results as is
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if search_term == cache_key:
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log.debug("Exact match found in cache, reusing results.")
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matches = cached_data.search_items
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else:
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# If only the beginning matches, filter the cache results
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log.debug("Prefix match found in cache, filtering results.")
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matches = SearchItems([])
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for jid_search_item in cached_data.search_items:
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self.process_matching(
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search_term, sequence_matcher, matches, jid_search_item
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)
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cache.move_to_end(cache_key)
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break
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else:
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# If no match is found in the cache, perform a new search
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matches = await self.perform_search(
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client, search_term, options, sequence_matcher
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)
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cache[search_term] = CachedSearch(matches, options)
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if len(cache) > MAX_CACHE_SIZE:
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cache.popitem(last=False)
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# If no exact match is found, but the search term is a valid JID, we add the JID
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# as a result
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exact_match = any(m.exact_match for m in matches)
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if not exact_match and "@" in search_term:
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try:
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search_jid = jid.JID(search_term)
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except jid.InvalidFormat:
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pass
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else:
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matches.append(
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EntitySearchItem(
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entity=search_jid,
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in_roster=False,
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exact_match=True,
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relevance=1,
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)
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)
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matches.sort(
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key=lambda item: (
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item.exact_match, item.relevance or 0, getattr(item, "in_roster", False)
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),
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reverse=True,
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)
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return matches
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def process_matching(
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self,
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search_term: str,
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sequence_matcher: difflib.SequenceMatcher,
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matches: SearchItems,
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item: SearchItem,
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) -> None:
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"""Process the matching of an item against a search term.
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This method checks if the given item is an exact match or if it has any
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significant similarity to the search term. If a match is found, the item's
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relevance score is set and the item is added to the matches list.
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@param sequence_matcher: The sequence matcher used for comparing strings.
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@param matches: A list where matched items will be appended.
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@param item: The item to be compared against the search term.
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"""
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item_name_lower = item.name.strip().lower()
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item_entity_lower = item.entity.userhost().lower()
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if search_term in (item_name_lower, item_entity_lower):
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item.exact_match = True
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item.relevance = 1
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matches.append(item)
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return
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item.exact_match = False
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# Check if search_term is a substring of item_name_lower or item_entity_lower
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if len(search_term) >= 3:
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if item_name_lower and search_term in item_name_lower:
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item.relevance = PARTIAL_MATCH_RATIO
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matches.append(item)
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return
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if search_term in item_entity_lower:
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item.relevance = PARTIAL_MATCH_RATIO
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matches.append(item)
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return
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if item_name_lower:
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sequence_matcher.set_seq2(item_name_lower)
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name_ratio = sequence_matcher.ratio()
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if name_ratio >= RATIO_CUTOFF:
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item.relevance = name_ratio
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matches.append(item)
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return
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sequence_matcher.set_seq2(item_entity_lower)
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jid_ratio = sequence_matcher.ratio()
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if jid_ratio >= RATIO_CUTOFF:
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item.relevance = jid_ratio
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matches.append(item)
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return
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localpart = item.entity.user.lower() if item.entity.user else ""
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if localpart:
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sequence_matcher.set_seq2(localpart)
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domain_ratio = sequence_matcher.ratio()
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if domain_ratio >= RATIO_CUTOFF:
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item.relevance = domain_ratio
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matches.append(item)
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return
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if isinstance(item, EntitySearchItem) and item.groups:
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group_ratios = []
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for group in item.groups:
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sequence_matcher.set_seq2(group.lower())
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group_ratios.append(sequence_matcher.ratio())
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group_ratio = max(group_ratios)
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if group_ratio >= RATIO_CUTOFF:
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item.relevance = group_ratio
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matches.append(item)
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return
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domain = item.entity.host.lower()
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sequence_matcher.set_seq2(domain)
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domain_ratio = sequence_matcher.ratio()
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if domain_ratio >= RATIO_CUTOFF:
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item.relevance = domain_ratio
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matches.append(item)
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return
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async def perform_search(
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self,
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client: SatXMPPEntity,
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search_term: str,
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options: Options,
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sequence_matcher: difflib.SequenceMatcher,
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) -> SearchItems:
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"""Performs a new search.
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Cache is not used here.
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@param search_term: The query to be searched.
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@param sequence_matcher: The SequenceMatcher object to be used for matching.
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@return: A list of matches found.
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"""
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matches = SearchItems([])
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if options.entities:
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assert isinstance(client, SatXMPPClient)
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try:
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client.roster
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except AttributeError:
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# components have no roster
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roster = []
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else:
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roster = client.roster.get_items()
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for roster_item in roster:
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jid_search_item = EntitySearchItem(
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entity=roster_item.entity,
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name=roster_item.name,
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in_roster=True,
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groups=list(roster_item.groups),
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)
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self.process_matching(
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search_term, sequence_matcher, matches, jid_search_item
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)
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await self.host.trigger.async_point(
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"JID_SEARCH_perform_search",
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client,
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search_term,
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options,
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sequence_matcher,
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matches,
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)
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return matches
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