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	This commit adds related_name parameter to UserGroup.direct_members such that we can use direct_groups instead of the default usergroupmembership_set for getting all the groups of which the user is direct member. This commit also sets related_name of UserGroupMembership.user_group and UserGroupMembership.user_profile to "+" which means that we will not be having backward relations for these. This change is correct since we would need to use the recursive queries to get all the groups of a user and all the members of a group after we add the subgroups concept in next commit. This leads to us using direct_members field of UserGroup instead of usergroupmembership_set in mention code, but this will soon be replaced with the recursive query function to include subgroup's members as well. Extracted this commit from #19866. Authored-by : Anders Kaseorg <anders@zulip.com>
		
			
				
	
	
		
			155 lines
		
	
	
		
			5.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			155 lines
		
	
	
		
			5.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
import functools
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import re
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from typing import Dict, List, Match, Optional, Set, Tuple
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from django.db.models import Q
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from zerver.lib.types import FullNameInfo
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from zerver.models import Realm, UserGroup, UserProfile, get_active_streams
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# Match multi-word string between @** ** or match any one-word
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# sequences after @
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MENTIONS_RE = re.compile(r"(?<![^\s\'\"\(,:<])@(?P<silent>_?)(\*\*(?P<match>[^\*]+)\*\*)")
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USER_GROUP_MENTIONS_RE = re.compile(r"(?<![^\s\'\"\(,:<])@(?P<silent>_?)(\*(?P<match>[^\*]+)\*)")
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wildcards = ["all", "everyone", "stream"]
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def user_mention_matches_wildcard(mention: str) -> bool:
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    return mention in wildcards
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def extract_mention_text(m: Match[str]) -> Tuple[Optional[str], bool]:
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    text = m.group("match")
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    if text in wildcards:
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        return None, True
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    return text, False
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def possible_mentions(content: str) -> Tuple[Set[str], bool]:
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    # mention texts can either be names, or an extended name|id syntax.
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    texts = set()
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    message_has_wildcards = False
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    for m in MENTIONS_RE.finditer(content):
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        text, is_wildcard = extract_mention_text(m)
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        if text:
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            texts.add(text)
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        if is_wildcard:
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            message_has_wildcards = True
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    return texts, message_has_wildcards
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def possible_user_group_mentions(content: str) -> Set[str]:
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    return {m.group("match") for m in USER_GROUP_MENTIONS_RE.finditer(content)}
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def get_possible_mentions_info(realm_id: int, mention_texts: Set[str]) -> List[FullNameInfo]:
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    if not mention_texts:
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        return []
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    q_list = set()
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    name_re = r"(?P<full_name>.+)?\|(?P<mention_id>\d+)$"
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    for mention_text in mention_texts:
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        name_syntax_match = re.match(name_re, mention_text)
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        if name_syntax_match:
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            full_name = name_syntax_match.group("full_name")
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            mention_id = name_syntax_match.group("mention_id")
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            if full_name:
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                # For **name|id** mentions as mention_id
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                # cannot be null inside this block.
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                q_list.add(Q(full_name__iexact=full_name, id=mention_id))
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            else:
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                # For **|id** syntax.
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                q_list.add(Q(id=mention_id))
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        else:
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            # For **name** syntax.
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            q_list.add(Q(full_name__iexact=mention_text))
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    rows = (
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        UserProfile.objects.filter(
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            realm_id=realm_id,
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            is_active=True,
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        )
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        .filter(
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            functools.reduce(lambda a, b: a | b, q_list),
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        )
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        .values(
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            "id",
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            "full_name",
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            "email",
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        )
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    )
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    return list(rows)
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class MentionData:
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    def __init__(self, realm_id: int, content: str) -> None:
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        mention_texts, has_wildcards = possible_mentions(content)
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        possible_mentions_info = get_possible_mentions_info(realm_id, mention_texts)
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        self.full_name_info = {row["full_name"].lower(): row for row in possible_mentions_info}
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        self.user_id_info = {row["id"]: row for row in possible_mentions_info}
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        self.init_user_group_data(realm_id=realm_id, content=content)
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        self.has_wildcards = has_wildcards
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    def message_has_wildcards(self) -> bool:
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        return self.has_wildcards
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    def init_user_group_data(self, realm_id: int, content: str) -> None:
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        self.user_group_name_info: Dict[str, UserGroup] = {}
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        self.user_group_members: Dict[int, List[int]] = {}
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        user_group_names = possible_user_group_mentions(content)
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        if user_group_names:
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            for group in UserGroup.objects.filter(
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                realm_id=realm_id, name__in=user_group_names, is_system_group=False
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            ).prefetch_related("direct_members"):
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                self.user_group_name_info[group.name.lower()] = group
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                self.user_group_members[group.id] = [m.id for m in group.direct_members.all()]
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    def get_user_by_name(self, name: str) -> Optional[FullNameInfo]:
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        # warning: get_user_by_name is not dependable if two
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        # users of the same full name are mentioned. Use
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        # get_user_by_id where possible.
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        return self.full_name_info.get(name.lower(), None)
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    def get_user_by_id(self, id: int) -> Optional[FullNameInfo]:
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        return self.user_id_info.get(id, None)
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    def get_user_ids(self) -> Set[int]:
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        """
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        Returns the user IDs that might have been mentioned by this
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        content.  Note that because this data structure has not parsed
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        the message and does not know about escaping/code blocks, this
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        will overestimate the list of user ids.
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        """
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        return set(self.user_id_info.keys())
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    def get_user_group(self, name: str) -> Optional[UserGroup]:
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        return self.user_group_name_info.get(name.lower(), None)
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    def get_group_members(self, user_group_id: int) -> List[int]:
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        return self.user_group_members.get(user_group_id, [])
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def get_stream_name_info(realm: Realm, stream_names: Set[str]) -> Dict[str, FullNameInfo]:
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    if not stream_names:
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        return {}
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    q_list = {Q(name=name) for name in stream_names}
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    rows = (
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        get_active_streams(
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            realm=realm,
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        )
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        .filter(
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            functools.reduce(lambda a, b: a | b, q_list),
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        )
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        .values(
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            "id",
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            "name",
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        )
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    )
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    dct = {row["name"]: row for row in rows}
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    return dct
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