mirror of https://github.com/zulip/zulip.git
1409 lines
48 KiB
Python
1409 lines
48 KiB
Python
import copy
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import datetime
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import zlib
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from dataclasses import dataclass, field
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from typing import Any, Dict, List, Optional, Sequence, Set, Tuple
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import ahocorasick
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import orjson
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from django.db import connection
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from django.db.models import Max, Sum
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from django.utils.timezone import now as timezone_now
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from django.utils.translation import ugettext as _
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from psycopg2.sql import SQL
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from typing_extensions import TypedDict
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from analytics.lib.counts import COUNT_STATS, RealmCount
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from zerver.lib.avatar import get_avatar_field
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from zerver.lib.cache import (
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cache_with_key,
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generic_bulk_cached_fetch,
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to_dict_cache_key,
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to_dict_cache_key_id,
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)
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from zerver.lib.display_recipient import (
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DisplayRecipientT,
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UserDisplayRecipient,
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bulk_fetch_display_recipients,
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)
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from zerver.lib.markdown import MentionData, markdown_convert, topic_links
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from zerver.lib.markdown import version as markdown_version
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from zerver.lib.request import JsonableError
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from zerver.lib.stream_subscription import (
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get_stream_subscriptions_for_user,
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num_subscribers_for_stream_id,
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)
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from zerver.lib.timestamp import datetime_to_timestamp
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from zerver.lib.topic import DB_TOPIC_NAME, MESSAGE__TOPIC, TOPIC_LINKS, TOPIC_NAME
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from zerver.lib.topic_mutes import build_topic_mute_checker, topic_is_muted
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from zerver.models import (
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MAX_MESSAGE_LENGTH,
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MAX_TOPIC_NAME_LENGTH,
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Message,
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Reaction,
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Realm,
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Recipient,
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Stream,
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SubMessage,
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Subscription,
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UserMessage,
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UserProfile,
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get_display_recipient_by_id,
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get_usermessage_by_message_id,
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query_for_ids,
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)
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RealmAlertWord = Dict[int, List[str]]
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class RawReactionRow(TypedDict):
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emoji_code: str
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emoji_name: str
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message_id: int
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reaction_type: str
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user_profile__email: str
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user_profile__full_name: str
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user_profile__id: int
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class RawUnreadMessagesResult(TypedDict):
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pm_dict: Dict[int, Any]
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stream_dict: Dict[int, Any]
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huddle_dict: Dict[int, Any]
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mentions: Set[int]
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muted_stream_ids: List[int]
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unmuted_stream_msgs: Set[int]
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old_unreads_missing: bool
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class UnreadMessagesResult(TypedDict):
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pms: List[Dict[str, Any]]
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streams: List[Dict[str, Any]]
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huddles: List[Dict[str, Any]]
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mentions: List[int]
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count: int
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old_unreads_missing: bool
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@dataclass
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class SendMessageRequest:
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message: Message
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stream: Optional[Stream]
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local_id: Optional[int]
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sender_queue_id: Optional[int]
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realm: Realm
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mention_data: MentionData
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active_user_ids: Set[int]
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push_notify_user_ids: Set[int]
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stream_push_user_ids: Set[int]
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stream_email_user_ids: Set[int]
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um_eligible_user_ids: Set[int]
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long_term_idle_user_ids: Set[int]
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default_bot_user_ids: Set[int]
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service_bot_tuples: List[Tuple[int, int]]
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wildcard_mention_user_ids: Set[int]
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links_for_embed: Set[str]
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widget_content: Optional[Dict[str, Any]]
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submessages: List[Dict[str, Any]] = field(default_factory=list)
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deliver_at: Optional[datetime.datetime] = None
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delivery_type: Optional[str] = None
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# We won't try to fetch more unread message IDs from the database than
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# this limit. The limit is super high, in large part because it means
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# client-side code mostly doesn't need to think about the case that a
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# user has more older unread messages that were cut off.
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MAX_UNREAD_MESSAGES = 50000
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def truncate_content(content: str, max_length: int, truncation_message: str) -> str:
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if len(content) > max_length:
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content = content[: max_length - len(truncation_message)] + truncation_message
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return content
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def normalize_body(body: str) -> str:
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body = body.rstrip()
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if len(body) == 0:
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raise JsonableError(_("Message must not be empty"))
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if "\x00" in body:
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raise JsonableError(_("Message must not contain null bytes"))
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return truncate_content(body, MAX_MESSAGE_LENGTH, "\n[message truncated]")
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def truncate_topic(topic: str) -> str:
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return truncate_content(topic, MAX_TOPIC_NAME_LENGTH, "...")
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def messages_for_ids(
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message_ids: List[int],
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user_message_flags: Dict[int, List[str]],
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search_fields: Dict[int, Dict[str, str]],
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apply_markdown: bool,
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client_gravatar: bool,
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allow_edit_history: bool,
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) -> List[Dict[str, Any]]:
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cache_transformer = MessageDict.build_dict_from_raw_db_row
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id_fetcher = lambda row: row["id"]
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message_dicts = generic_bulk_cached_fetch(
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to_dict_cache_key_id,
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MessageDict.get_raw_db_rows,
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message_ids,
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id_fetcher=id_fetcher,
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cache_transformer=cache_transformer,
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extractor=extract_message_dict,
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setter=stringify_message_dict,
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)
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message_list: List[Dict[str, Any]] = []
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for message_id in message_ids:
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msg_dict = message_dicts[message_id]
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msg_dict.update(flags=user_message_flags[message_id])
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if message_id in search_fields:
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msg_dict.update(search_fields[message_id])
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# Make sure that we never send message edit history to clients
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# in realms with allow_edit_history disabled.
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if "edit_history" in msg_dict and not allow_edit_history:
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del msg_dict["edit_history"]
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message_list.append(msg_dict)
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MessageDict.post_process_dicts(message_list, apply_markdown, client_gravatar)
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return message_list
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def sew_messages_and_reactions(
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messages: List[Dict[str, Any]], reactions: List[Dict[str, Any]]
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) -> List[Dict[str, Any]]:
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"""Given a iterable of messages and reactions stitch reactions
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into messages.
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"""
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# Add all messages with empty reaction item
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for message in messages:
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message["reactions"] = []
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# Convert list of messages into dictionary to make reaction stitching easy
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converted_messages = {message["id"]: message for message in messages}
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for reaction in reactions:
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converted_messages[reaction["message_id"]]["reactions"].append(reaction)
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return list(converted_messages.values())
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def sew_messages_and_submessages(
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messages: List[Dict[str, Any]], submessages: List[Dict[str, Any]]
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) -> None:
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# This is super similar to sew_messages_and_reactions.
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for message in messages:
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message["submessages"] = []
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message_dict = {message["id"]: message for message in messages}
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for submessage in submessages:
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message_id = submessage["message_id"]
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if message_id in message_dict:
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message = message_dict[message_id]
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message["submessages"].append(submessage)
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def extract_message_dict(message_bytes: bytes) -> Dict[str, Any]:
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return orjson.loads(zlib.decompress(message_bytes))
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def stringify_message_dict(message_dict: Dict[str, Any]) -> bytes:
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return zlib.compress(orjson.dumps(message_dict))
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@cache_with_key(to_dict_cache_key, timeout=3600 * 24)
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def message_to_dict_json(message: Message, realm_id: Optional[int] = None) -> bytes:
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return MessageDict.to_dict_uncached([message], realm_id)[message.id]
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def save_message_rendered_content(message: Message, content: str) -> str:
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rendered_content = render_markdown(message, content, realm=message.get_realm())
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message.rendered_content = rendered_content
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message.rendered_content_version = markdown_version
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message.save_rendered_content()
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return rendered_content
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class MessageDict:
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"""MessageDict is the core class responsible for marshalling Message
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objects obtained from the database into a format that can be sent
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to clients via the Zulip API, whether via `GET /messages`,
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outgoing webhooks, or other code paths. There are two core flows through
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which this class is used:
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* For just-sent messages, we construct a single `wide_dict` object
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containing all the data for the message and the related
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UserProfile models (sender_info and recipient_info); this object
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can be stored in queues, caches, etc., and then later turned
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into an API-format JSONable dictionary via finalize_payload.
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* When fetching messages from the database, we fetch their data in
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bulk using messages_for_ids, which makes use of caching, bulk
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fetches that skip the Django ORM, etc., to provide an optimized
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interface for fetching hundreds of thousands of messages from
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the database and then turning them into API-format JSON
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dictionaries.
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"""
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@staticmethod
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def wide_dict(message: Message, realm_id: Optional[int] = None) -> Dict[str, Any]:
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"""
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The next two lines get the cacheable field related
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to our message object, with the side effect of
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populating the cache.
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"""
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json = message_to_dict_json(message, realm_id)
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obj = extract_message_dict(json)
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"""
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The steps below are similar to what we do in
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post_process_dicts(), except we don't call finalize_payload(),
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since that step happens later in the queue
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processor.
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"""
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MessageDict.bulk_hydrate_sender_info([obj])
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MessageDict.bulk_hydrate_recipient_info([obj])
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return obj
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@staticmethod
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def post_process_dicts(
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objs: List[Dict[str, Any]], apply_markdown: bool, client_gravatar: bool
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) -> None:
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"""
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NOTE: This function mutates the objects in
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the `objs` list, rather than making
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shallow copies. It might be safer to
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make shallow copies here, but performance
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is somewhat important here, as we are
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often fetching hundreds of messages.
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"""
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MessageDict.bulk_hydrate_sender_info(objs)
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MessageDict.bulk_hydrate_recipient_info(objs)
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for obj in objs:
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MessageDict.finalize_payload(obj, apply_markdown, client_gravatar, skip_copy=True)
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@staticmethod
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def finalize_payload(
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obj: Dict[str, Any],
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apply_markdown: bool,
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client_gravatar: bool,
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keep_rendered_content: bool = False,
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skip_copy: bool = False,
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) -> Dict[str, Any]:
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"""
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By default, we make a shallow copy of the incoming dict to avoid
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mutation-related bugs. Code paths that are passing a unique object
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can pass skip_copy=True to avoid this extra work.
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"""
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if not skip_copy:
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obj = copy.copy(obj)
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MessageDict.set_sender_avatar(obj, client_gravatar)
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if apply_markdown:
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obj["content_type"] = "text/html"
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obj["content"] = obj["rendered_content"]
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else:
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obj["content_type"] = "text/x-markdown"
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if not keep_rendered_content:
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del obj["rendered_content"]
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del obj["sender_realm_id"]
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del obj["sender_avatar_source"]
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del obj["sender_delivery_email"]
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del obj["sender_avatar_version"]
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del obj["recipient_type"]
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del obj["recipient_type_id"]
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del obj["sender_is_mirror_dummy"]
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return obj
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@staticmethod
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def sew_submessages_and_reactions_to_msgs(
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messages: List[Dict[str, Any]]
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) -> List[Dict[str, Any]]:
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msg_ids = [msg["id"] for msg in messages]
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submessages = SubMessage.get_raw_db_rows(msg_ids)
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sew_messages_and_submessages(messages, submessages)
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reactions = Reaction.get_raw_db_rows(msg_ids)
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return sew_messages_and_reactions(messages, reactions)
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@staticmethod
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def to_dict_uncached(
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messages: List[Message], realm_id: Optional[int] = None
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) -> Dict[int, bytes]:
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messages_dict = MessageDict.to_dict_uncached_helper(messages, realm_id)
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encoded_messages = {msg["id"]: stringify_message_dict(msg) for msg in messages_dict}
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return encoded_messages
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@staticmethod
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def to_dict_uncached_helper(
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messages: List[Message], realm_id: Optional[int] = None
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) -> List[Dict[str, Any]]:
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# Near duplicate of the build_message_dict + get_raw_db_rows
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# code path that accepts already fetched Message objects
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# rather than message IDs.
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def get_rendering_realm_id(message: Message) -> int:
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# realm_id can differ among users, currently only possible
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# with cross realm bots.
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if realm_id is not None:
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return realm_id
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if message.recipient.type == Recipient.STREAM:
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return Stream.objects.get(id=message.recipient.type_id).realm_id
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return message.sender.realm_id
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message_rows = [
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{
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"id": message.id,
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DB_TOPIC_NAME: message.topic_name(),
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"date_sent": message.date_sent,
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"last_edit_time": message.last_edit_time,
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"edit_history": message.edit_history,
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"content": message.content,
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"rendered_content": message.rendered_content,
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"rendered_content_version": message.rendered_content_version,
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"recipient_id": message.recipient.id,
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"recipient__type": message.recipient.type,
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"recipient__type_id": message.recipient.type_id,
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"rendering_realm_id": get_rendering_realm_id(message),
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"sender_id": message.sender.id,
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"sending_client__name": message.sending_client.name,
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"sender__realm_id": message.sender.realm_id,
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}
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for message in messages
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]
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MessageDict.sew_submessages_and_reactions_to_msgs(message_rows)
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return [MessageDict.build_dict_from_raw_db_row(row) for row in message_rows]
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@staticmethod
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def get_raw_db_rows(needed_ids: List[int]) -> List[Dict[str, Any]]:
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# This is a special purpose function optimized for
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# callers like get_messages_backend().
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fields = [
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"id",
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DB_TOPIC_NAME,
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"date_sent",
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"last_edit_time",
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"edit_history",
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"content",
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"rendered_content",
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"rendered_content_version",
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"recipient_id",
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"recipient__type",
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"recipient__type_id",
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"sender_id",
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"sending_client__name",
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"sender__realm_id",
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]
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messages = Message.objects.filter(id__in=needed_ids).values(*fields)
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return MessageDict.sew_submessages_and_reactions_to_msgs(messages)
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|
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@staticmethod
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def build_dict_from_raw_db_row(row: Dict[str, Any]) -> Dict[str, Any]:
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"""
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row is a row from a .values() call, and it needs to have
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all the relevant fields populated
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"""
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return MessageDict.build_message_dict(
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message_id=row["id"],
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last_edit_time=row["last_edit_time"],
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edit_history=row["edit_history"],
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content=row["content"],
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topic_name=row[DB_TOPIC_NAME],
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date_sent=row["date_sent"],
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rendered_content=row["rendered_content"],
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rendered_content_version=row["rendered_content_version"],
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sender_id=row["sender_id"],
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sender_realm_id=row["sender__realm_id"],
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sending_client_name=row["sending_client__name"],
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rendering_realm_id=row.get("rendering_realm_id", row["sender__realm_id"]),
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recipient_id=row["recipient_id"],
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recipient_type=row["recipient__type"],
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recipient_type_id=row["recipient__type_id"],
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reactions=row["reactions"],
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submessages=row["submessages"],
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)
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@staticmethod
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def build_message_dict(
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message_id: int,
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last_edit_time: Optional[datetime.datetime],
|
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edit_history: Optional[str],
|
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content: str,
|
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topic_name: str,
|
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date_sent: datetime.datetime,
|
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rendered_content: Optional[str],
|
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rendered_content_version: Optional[int],
|
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sender_id: int,
|
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sender_realm_id: int,
|
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sending_client_name: str,
|
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rendering_realm_id: int,
|
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recipient_id: int,
|
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recipient_type: int,
|
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recipient_type_id: int,
|
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reactions: List[RawReactionRow],
|
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submessages: List[Dict[str, Any]],
|
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) -> Dict[str, Any]:
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obj = dict(
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id=message_id,
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sender_id=sender_id,
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content=content,
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recipient_type_id=recipient_type_id,
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recipient_type=recipient_type,
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recipient_id=recipient_id,
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timestamp=datetime_to_timestamp(date_sent),
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client=sending_client_name,
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)
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obj[TOPIC_NAME] = topic_name
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obj["sender_realm_id"] = sender_realm_id
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# Render topic_links with the stream's realm instead of the
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# sender's realm; this is important for messages sent by
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# cross-realm bots like NOTIFICATION_BOT.
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obj[TOPIC_LINKS] = topic_links(rendering_realm_id, topic_name)
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|
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if last_edit_time is not None:
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obj["last_edit_timestamp"] = datetime_to_timestamp(last_edit_time)
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assert edit_history is not None
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obj["edit_history"] = orjson.loads(edit_history)
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|
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if Message.need_to_render_content(
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rendered_content, rendered_content_version, markdown_version
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):
|
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# We really shouldn't be rendering objects in this method, but there is
|
|
# a scenario where we upgrade the version of Markdown and fail to run
|
|
# management commands to re-render historical messages, and then we
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# need to have side effects. This method is optimized to not need full
|
|
# blown ORM objects, but the Markdown renderer is unfortunately highly
|
|
# coupled to Message, and we also need to persist the new rendered content.
|
|
# If we don't have a message object passed in, we get one here. The cost
|
|
# of going to the DB here should be overshadowed by the cost of rendering
|
|
# and updating the row.
|
|
# TODO: see #1379 to eliminate Markdown dependencies
|
|
message = Message.objects.select_related().get(id=message_id)
|
|
|
|
assert message is not None # Hint for mypy.
|
|
# It's unfortunate that we need to have side effects on the message
|
|
# in some cases.
|
|
rendered_content = save_message_rendered_content(message, content)
|
|
|
|
if rendered_content is not None:
|
|
obj["rendered_content"] = rendered_content
|
|
else:
|
|
obj["rendered_content"] = (
|
|
"<p>[Zulip note: Sorry, we could not "
|
|
+ "understand the formatting of your message]</p>"
|
|
)
|
|
|
|
if rendered_content is not None:
|
|
obj["is_me_message"] = Message.is_status_message(content, rendered_content)
|
|
else:
|
|
obj["is_me_message"] = False
|
|
|
|
obj["reactions"] = [
|
|
ReactionDict.build_dict_from_raw_db_row(reaction) for reaction in reactions
|
|
]
|
|
obj["submessages"] = submessages
|
|
return obj
|
|
|
|
@staticmethod
|
|
def bulk_hydrate_sender_info(objs: List[Dict[str, Any]]) -> None:
|
|
|
|
sender_ids = list({obj["sender_id"] for obj in objs})
|
|
|
|
if not sender_ids:
|
|
return
|
|
|
|
query = UserProfile.objects.values(
|
|
"id",
|
|
"full_name",
|
|
"delivery_email",
|
|
"email",
|
|
"realm__string_id",
|
|
"avatar_source",
|
|
"avatar_version",
|
|
"is_mirror_dummy",
|
|
)
|
|
|
|
rows = query_for_ids(query, sender_ids, "zerver_userprofile.id")
|
|
|
|
sender_dict = {row["id"]: row for row in rows}
|
|
|
|
for obj in objs:
|
|
sender_id = obj["sender_id"]
|
|
user_row = sender_dict[sender_id]
|
|
obj["sender_full_name"] = user_row["full_name"]
|
|
obj["sender_email"] = user_row["email"]
|
|
obj["sender_delivery_email"] = user_row["delivery_email"]
|
|
obj["sender_realm_str"] = user_row["realm__string_id"]
|
|
obj["sender_avatar_source"] = user_row["avatar_source"]
|
|
obj["sender_avatar_version"] = user_row["avatar_version"]
|
|
obj["sender_is_mirror_dummy"] = user_row["is_mirror_dummy"]
|
|
|
|
@staticmethod
|
|
def hydrate_recipient_info(obj: Dict[str, Any], display_recipient: DisplayRecipientT) -> None:
|
|
"""
|
|
This method hyrdrates recipient info with things
|
|
like full names and emails of senders. Eventually
|
|
our clients should be able to hyrdrate these fields
|
|
themselves with info they already have on users.
|
|
"""
|
|
|
|
recipient_type = obj["recipient_type"]
|
|
recipient_type_id = obj["recipient_type_id"]
|
|
sender_is_mirror_dummy = obj["sender_is_mirror_dummy"]
|
|
sender_email = obj["sender_email"]
|
|
sender_full_name = obj["sender_full_name"]
|
|
sender_id = obj["sender_id"]
|
|
|
|
if recipient_type == Recipient.STREAM:
|
|
display_type = "stream"
|
|
elif recipient_type in (Recipient.HUDDLE, Recipient.PERSONAL):
|
|
assert not isinstance(display_recipient, str)
|
|
display_type = "private"
|
|
if len(display_recipient) == 1:
|
|
# add the sender in if this isn't a message between
|
|
# someone and themself, preserving ordering
|
|
recip: UserDisplayRecipient = {
|
|
"email": sender_email,
|
|
"full_name": sender_full_name,
|
|
"id": sender_id,
|
|
"is_mirror_dummy": sender_is_mirror_dummy,
|
|
}
|
|
if recip["email"] < display_recipient[0]["email"]:
|
|
display_recipient = [recip, display_recipient[0]]
|
|
elif recip["email"] > display_recipient[0]["email"]:
|
|
display_recipient = [display_recipient[0], recip]
|
|
else:
|
|
raise AssertionError(f"Invalid recipient type {recipient_type}")
|
|
|
|
obj["display_recipient"] = display_recipient
|
|
obj["type"] = display_type
|
|
if obj["type"] == "stream":
|
|
obj["stream_id"] = recipient_type_id
|
|
|
|
@staticmethod
|
|
def bulk_hydrate_recipient_info(objs: List[Dict[str, Any]]) -> None:
|
|
recipient_tuples = { # We use set to eliminate duplicate tuples.
|
|
(
|
|
obj["recipient_id"],
|
|
obj["recipient_type"],
|
|
obj["recipient_type_id"],
|
|
)
|
|
for obj in objs
|
|
}
|
|
display_recipients = bulk_fetch_display_recipients(recipient_tuples)
|
|
|
|
for obj in objs:
|
|
MessageDict.hydrate_recipient_info(obj, display_recipients[obj["recipient_id"]])
|
|
|
|
@staticmethod
|
|
def set_sender_avatar(obj: Dict[str, Any], client_gravatar: bool) -> None:
|
|
sender_id = obj["sender_id"]
|
|
sender_realm_id = obj["sender_realm_id"]
|
|
sender_delivery_email = obj["sender_delivery_email"]
|
|
sender_avatar_source = obj["sender_avatar_source"]
|
|
sender_avatar_version = obj["sender_avatar_version"]
|
|
|
|
obj["avatar_url"] = get_avatar_field(
|
|
user_id=sender_id,
|
|
realm_id=sender_realm_id,
|
|
email=sender_delivery_email,
|
|
avatar_source=sender_avatar_source,
|
|
avatar_version=sender_avatar_version,
|
|
medium=False,
|
|
client_gravatar=client_gravatar,
|
|
)
|
|
|
|
|
|
class ReactionDict:
|
|
@staticmethod
|
|
def build_dict_from_raw_db_row(row: RawReactionRow) -> Dict[str, Any]:
|
|
return {
|
|
"emoji_name": row["emoji_name"],
|
|
"emoji_code": row["emoji_code"],
|
|
"reaction_type": row["reaction_type"],
|
|
# TODO: We plan to remove this redundant user dictionary once
|
|
# clients are updated to support accessing use user_id. See
|
|
# https://github.com/zulip/zulip/pull/14711 for details.
|
|
#
|
|
# When we do that, we can likely update the `.values()` query to
|
|
# not fetch the extra user_profile__* fields from the database
|
|
# as a small performance optimization.
|
|
"user": {
|
|
"email": row["user_profile__email"],
|
|
"id": row["user_profile__id"],
|
|
"full_name": row["user_profile__full_name"],
|
|
},
|
|
"user_id": row["user_profile__id"],
|
|
}
|
|
|
|
|
|
def access_message(
|
|
user_profile: UserProfile, message_id: int
|
|
) -> Tuple[Message, Optional[UserMessage]]:
|
|
"""You can access a message by ID in our APIs that either:
|
|
(1) You received or have previously accessed via starring
|
|
(aka have a UserMessage row for).
|
|
(2) Was sent to a public stream in your realm.
|
|
|
|
We produce consistent, boring error messages to avoid leaking any
|
|
information from a security perspective.
|
|
"""
|
|
try:
|
|
message = Message.objects.select_related().get(id=message_id)
|
|
except Message.DoesNotExist:
|
|
raise JsonableError(_("Invalid message(s)"))
|
|
|
|
user_message = get_usermessage_by_message_id(user_profile, message_id)
|
|
|
|
if has_message_access(user_profile, message, user_message):
|
|
return (message, user_message)
|
|
raise JsonableError(_("Invalid message(s)"))
|
|
|
|
|
|
def has_message_access(
|
|
user_profile: UserProfile, message: Message, user_message: Optional[UserMessage]
|
|
) -> bool:
|
|
if user_message is None:
|
|
if message.recipient.type != Recipient.STREAM:
|
|
# You can't access private messages you didn't receive
|
|
return False
|
|
|
|
stream = Stream.objects.get(id=message.recipient.type_id)
|
|
if stream.realm != user_profile.realm:
|
|
# You can't access public stream messages in other realms
|
|
return False
|
|
|
|
if not stream.is_history_public_to_subscribers():
|
|
# You can't access messages you didn't directly receive
|
|
# unless history is public to subscribers.
|
|
return False
|
|
|
|
if not stream.is_public():
|
|
# This stream is an invite-only stream where message
|
|
# history is available to subscribers. So we check if
|
|
# you're subscribed.
|
|
if not Subscription.objects.filter(
|
|
user_profile=user_profile, active=True, recipient=message.recipient
|
|
).exists():
|
|
return False
|
|
|
|
# You are subscribed, so let this fall through to the public stream case.
|
|
elif user_profile.is_guest:
|
|
# Guest users don't get automatic access to public stream messages
|
|
if not Subscription.objects.filter(
|
|
user_profile=user_profile, active=True, recipient=message.recipient
|
|
).exists():
|
|
return False
|
|
else:
|
|
# Otherwise, the message was sent to a public stream in
|
|
# your realm, so return the message, user_message pair
|
|
pass
|
|
|
|
return True
|
|
|
|
|
|
def bulk_access_messages(user_profile: UserProfile, messages: Sequence[Message]) -> List[Message]:
|
|
filtered_messages = []
|
|
|
|
for message in messages:
|
|
user_message = get_usermessage_by_message_id(user_profile, message.id)
|
|
if has_message_access(user_profile, message, user_message):
|
|
filtered_messages.append(message)
|
|
return filtered_messages
|
|
|
|
|
|
def bulk_access_messages_expect_usermessage(
|
|
user_profile_id: int, message_ids: Sequence[int]
|
|
) -> List[int]:
|
|
"""
|
|
Like bulk_access_messages, but faster and potentially stricter.
|
|
|
|
Returns a subset of `message_ids` containing only messages the
|
|
user can access. Makes O(1) database queries.
|
|
|
|
Use this function only when the user is expected to have a
|
|
UserMessage row for every message in `message_ids`. If a
|
|
UserMessage row is missing, the message will be omitted even if
|
|
the user has access (e.g. because it went to a public stream.)
|
|
|
|
See also: `access_message`, `bulk_access_messages`.
|
|
"""
|
|
return UserMessage.objects.filter(
|
|
user_profile_id=user_profile_id,
|
|
message_id__in=message_ids,
|
|
).values_list("message_id", flat=True)
|
|
|
|
|
|
def render_markdown(
|
|
message: Message,
|
|
content: str,
|
|
realm: Optional[Realm] = None,
|
|
realm_alert_words_automaton: Optional[ahocorasick.Automaton] = None,
|
|
mention_data: Optional[MentionData] = None,
|
|
email_gateway: bool = False,
|
|
) -> str:
|
|
"""
|
|
This is basically just a wrapper for do_render_markdown.
|
|
"""
|
|
|
|
if realm is None:
|
|
realm = message.get_realm()
|
|
|
|
sender = message.sender
|
|
sent_by_bot = sender.is_bot
|
|
translate_emoticons = sender.translate_emoticons
|
|
|
|
rendered_content = do_render_markdown(
|
|
message=message,
|
|
content=content,
|
|
realm=realm,
|
|
realm_alert_words_automaton=realm_alert_words_automaton,
|
|
sent_by_bot=sent_by_bot,
|
|
translate_emoticons=translate_emoticons,
|
|
mention_data=mention_data,
|
|
email_gateway=email_gateway,
|
|
)
|
|
|
|
return rendered_content
|
|
|
|
|
|
def do_render_markdown(
|
|
message: Message,
|
|
content: str,
|
|
realm: Realm,
|
|
sent_by_bot: bool,
|
|
translate_emoticons: bool,
|
|
realm_alert_words_automaton: Optional[ahocorasick.Automaton] = None,
|
|
mention_data: Optional[MentionData] = None,
|
|
email_gateway: bool = False,
|
|
) -> str:
|
|
"""Return HTML for given Markdown. Markdown may add properties to the
|
|
message object such as `mentions_user_ids`, `mentions_user_group_ids`, and
|
|
`mentions_wildcard`. These are only on this Django object and are not
|
|
saved in the database.
|
|
"""
|
|
|
|
message.mentions_wildcard = False
|
|
message.mentions_user_ids = set()
|
|
message.mentions_user_group_ids = set()
|
|
message.alert_words = set()
|
|
message.links_for_preview = set()
|
|
message.user_ids_with_alert_words = set()
|
|
|
|
# DO MAIN WORK HERE -- call markdown_convert to convert
|
|
rendered_content = markdown_convert(
|
|
content,
|
|
realm_alert_words_automaton=realm_alert_words_automaton,
|
|
message=message,
|
|
message_realm=realm,
|
|
sent_by_bot=sent_by_bot,
|
|
translate_emoticons=translate_emoticons,
|
|
mention_data=mention_data,
|
|
email_gateway=email_gateway,
|
|
)
|
|
return rendered_content
|
|
|
|
|
|
def huddle_users(recipient_id: int) -> str:
|
|
display_recipient: DisplayRecipientT = get_display_recipient_by_id(
|
|
recipient_id,
|
|
Recipient.HUDDLE,
|
|
None,
|
|
)
|
|
|
|
# str is for streams.
|
|
assert not isinstance(display_recipient, str)
|
|
|
|
user_ids: List[int] = [obj["id"] for obj in display_recipient]
|
|
user_ids = sorted(user_ids)
|
|
return ",".join(str(uid) for uid in user_ids)
|
|
|
|
|
|
def aggregate_message_dict(
|
|
input_dict: Dict[int, Dict[str, Any]], lookup_fields: List[str], collect_senders: bool
|
|
) -> List[Dict[str, Any]]:
|
|
lookup_dict: Dict[Tuple[Any, ...], Dict[str, Any]] = {}
|
|
|
|
"""
|
|
A concrete example might help explain the inputs here:
|
|
|
|
input_dict = {
|
|
1002: dict(stream_id=5, topic='foo', sender_id=40),
|
|
1003: dict(stream_id=5, topic='foo', sender_id=41),
|
|
1004: dict(stream_id=6, topic='baz', sender_id=99),
|
|
}
|
|
|
|
lookup_fields = ['stream_id', 'topic']
|
|
|
|
The first time through the loop:
|
|
attribute_dict = dict(stream_id=5, topic='foo', sender_id=40)
|
|
lookup_dict = (5, 'foo')
|
|
|
|
lookup_dict = {
|
|
(5, 'foo'): dict(stream_id=5, topic='foo',
|
|
unread_message_ids=[1002, 1003],
|
|
sender_ids=[40, 41],
|
|
),
|
|
...
|
|
}
|
|
|
|
result = [
|
|
dict(stream_id=5, topic='foo',
|
|
unread_message_ids=[1002, 1003],
|
|
sender_ids=[40, 41],
|
|
),
|
|
...
|
|
]
|
|
"""
|
|
|
|
for message_id, attribute_dict in input_dict.items():
|
|
lookup_key = tuple(attribute_dict[f] for f in lookup_fields)
|
|
if lookup_key not in lookup_dict:
|
|
obj = {}
|
|
for f in lookup_fields:
|
|
obj[f] = attribute_dict[f]
|
|
obj["unread_message_ids"] = []
|
|
if collect_senders:
|
|
obj["sender_ids"] = set()
|
|
lookup_dict[lookup_key] = obj
|
|
|
|
bucket = lookup_dict[lookup_key]
|
|
bucket["unread_message_ids"].append(message_id)
|
|
if collect_senders:
|
|
bucket["sender_ids"].add(attribute_dict["sender_id"])
|
|
|
|
for dct in lookup_dict.values():
|
|
dct["unread_message_ids"].sort()
|
|
if collect_senders:
|
|
dct["sender_ids"] = sorted(dct["sender_ids"])
|
|
|
|
sorted_keys = sorted(lookup_dict.keys())
|
|
|
|
return [lookup_dict[k] for k in sorted_keys]
|
|
|
|
|
|
def get_inactive_recipient_ids(user_profile: UserProfile) -> List[int]:
|
|
rows = (
|
|
get_stream_subscriptions_for_user(user_profile)
|
|
.filter(
|
|
active=False,
|
|
)
|
|
.values(
|
|
"recipient_id",
|
|
)
|
|
)
|
|
inactive_recipient_ids = [row["recipient_id"] for row in rows]
|
|
return inactive_recipient_ids
|
|
|
|
|
|
def get_muted_stream_ids(user_profile: UserProfile) -> List[int]:
|
|
rows = (
|
|
get_stream_subscriptions_for_user(user_profile)
|
|
.filter(
|
|
active=True,
|
|
is_muted=True,
|
|
)
|
|
.values(
|
|
"recipient__type_id",
|
|
)
|
|
)
|
|
muted_stream_ids = [row["recipient__type_id"] for row in rows]
|
|
return muted_stream_ids
|
|
|
|
|
|
def get_starred_message_ids(user_profile: UserProfile) -> List[int]:
|
|
return list(
|
|
UserMessage.objects.filter(
|
|
user_profile=user_profile,
|
|
)
|
|
.extra(
|
|
where=[UserMessage.where_starred()],
|
|
)
|
|
.order_by(
|
|
"message_id",
|
|
)
|
|
.values_list("message_id", flat=True)[0:10000]
|
|
)
|
|
|
|
|
|
def get_raw_unread_data(user_profile: UserProfile) -> RawUnreadMessagesResult:
|
|
excluded_recipient_ids = get_inactive_recipient_ids(user_profile)
|
|
|
|
user_msgs = (
|
|
UserMessage.objects.filter(
|
|
user_profile=user_profile,
|
|
)
|
|
.exclude(
|
|
message__recipient_id__in=excluded_recipient_ids,
|
|
)
|
|
.extra(
|
|
where=[UserMessage.where_unread()],
|
|
)
|
|
.values(
|
|
"message_id",
|
|
"message__sender_id",
|
|
MESSAGE__TOPIC,
|
|
"message__recipient_id",
|
|
"message__recipient__type",
|
|
"message__recipient__type_id",
|
|
"flags",
|
|
)
|
|
.order_by("-message_id")
|
|
)
|
|
|
|
# Limit unread messages for performance reasons.
|
|
user_msgs = list(user_msgs[:MAX_UNREAD_MESSAGES])
|
|
|
|
rows = list(reversed(user_msgs))
|
|
return extract_unread_data_from_um_rows(rows, user_profile)
|
|
|
|
|
|
def extract_unread_data_from_um_rows(
|
|
rows: List[Dict[str, Any]], user_profile: Optional[UserProfile]
|
|
) -> RawUnreadMessagesResult:
|
|
|
|
pm_dict: Dict[int, Any] = {}
|
|
stream_dict: Dict[int, Any] = {}
|
|
unmuted_stream_msgs: Set[int] = set()
|
|
huddle_dict: Dict[int, Any] = {}
|
|
mentions: Set[int] = set()
|
|
total_unreads = 0
|
|
|
|
raw_unread_messages: RawUnreadMessagesResult = dict(
|
|
pm_dict=pm_dict,
|
|
stream_dict=stream_dict,
|
|
muted_stream_ids=[],
|
|
unmuted_stream_msgs=unmuted_stream_msgs,
|
|
huddle_dict=huddle_dict,
|
|
mentions=mentions,
|
|
old_unreads_missing=False,
|
|
)
|
|
|
|
if user_profile is None:
|
|
return raw_unread_messages
|
|
|
|
muted_stream_ids = get_muted_stream_ids(user_profile)
|
|
raw_unread_messages["muted_stream_ids"] = muted_stream_ids
|
|
|
|
topic_mute_checker = build_topic_mute_checker(user_profile)
|
|
|
|
def is_row_muted(stream_id: int, recipient_id: int, topic: str) -> bool:
|
|
if stream_id in muted_stream_ids:
|
|
return True
|
|
|
|
if topic_mute_checker(recipient_id, topic):
|
|
return True
|
|
|
|
return False
|
|
|
|
huddle_cache: Dict[int, str] = {}
|
|
|
|
def get_huddle_users(recipient_id: int) -> str:
|
|
if recipient_id in huddle_cache:
|
|
return huddle_cache[recipient_id]
|
|
|
|
user_ids_string = huddle_users(recipient_id)
|
|
huddle_cache[recipient_id] = user_ids_string
|
|
return user_ids_string
|
|
|
|
for row in rows:
|
|
total_unreads += 1
|
|
message_id = row["message_id"]
|
|
msg_type = row["message__recipient__type"]
|
|
recipient_id = row["message__recipient_id"]
|
|
sender_id = row["message__sender_id"]
|
|
|
|
if msg_type == Recipient.STREAM:
|
|
stream_id = row["message__recipient__type_id"]
|
|
topic = row[MESSAGE__TOPIC]
|
|
stream_dict[message_id] = dict(
|
|
stream_id=stream_id,
|
|
topic=topic,
|
|
sender_id=sender_id,
|
|
)
|
|
if not is_row_muted(stream_id, recipient_id, topic):
|
|
unmuted_stream_msgs.add(message_id)
|
|
|
|
elif msg_type == Recipient.PERSONAL:
|
|
if sender_id == user_profile.id:
|
|
other_user_id = row["message__recipient__type_id"]
|
|
else:
|
|
other_user_id = sender_id
|
|
|
|
# The `sender_id` field here is misnamed. It's really
|
|
# just the other participant in a PM conversation. For
|
|
# most unread PM messages, the other user is also the sender,
|
|
# but that's not true for certain messages sent from the
|
|
# API. Unfortunately, it's difficult now to rename the
|
|
# field without breaking mobile.
|
|
pm_dict[message_id] = dict(
|
|
sender_id=other_user_id,
|
|
)
|
|
|
|
elif msg_type == Recipient.HUDDLE:
|
|
user_ids_string = get_huddle_users(recipient_id)
|
|
huddle_dict[message_id] = dict(
|
|
user_ids_string=user_ids_string,
|
|
)
|
|
|
|
# TODO: Add support for alert words here as well.
|
|
is_mentioned = (row["flags"] & UserMessage.flags.mentioned) != 0
|
|
is_wildcard_mentioned = (row["flags"] & UserMessage.flags.wildcard_mentioned) != 0
|
|
if is_mentioned:
|
|
mentions.add(message_id)
|
|
if is_wildcard_mentioned:
|
|
if msg_type == Recipient.STREAM:
|
|
stream_id = row["message__recipient__type_id"]
|
|
topic = row[MESSAGE__TOPIC]
|
|
if not is_row_muted(stream_id, recipient_id, topic):
|
|
mentions.add(message_id)
|
|
else: # nocoverage # TODO: Test wildcard mentions in PMs.
|
|
mentions.add(message_id)
|
|
|
|
# Record whether the user had more than MAX_UNREAD_MESSAGES total
|
|
# unreads -- that's a state where Zulip's behavior will start to
|
|
# be erroneous, and clients should display a warning.
|
|
raw_unread_messages["old_unreads_missing"] = total_unreads == MAX_UNREAD_MESSAGES
|
|
|
|
return raw_unread_messages
|
|
|
|
|
|
def aggregate_unread_data(raw_data: RawUnreadMessagesResult) -> UnreadMessagesResult:
|
|
|
|
pm_dict = raw_data["pm_dict"]
|
|
stream_dict = raw_data["stream_dict"]
|
|
unmuted_stream_msgs = raw_data["unmuted_stream_msgs"]
|
|
huddle_dict = raw_data["huddle_dict"]
|
|
mentions = list(raw_data["mentions"])
|
|
|
|
count = len(pm_dict) + len(unmuted_stream_msgs) + len(huddle_dict)
|
|
|
|
pm_objects = aggregate_message_dict(
|
|
input_dict=pm_dict,
|
|
lookup_fields=[
|
|
"sender_id",
|
|
],
|
|
collect_senders=False,
|
|
)
|
|
|
|
stream_objects = aggregate_message_dict(
|
|
input_dict=stream_dict,
|
|
lookup_fields=[
|
|
"stream_id",
|
|
"topic",
|
|
],
|
|
collect_senders=True,
|
|
)
|
|
|
|
huddle_objects = aggregate_message_dict(
|
|
input_dict=huddle_dict,
|
|
lookup_fields=[
|
|
"user_ids_string",
|
|
],
|
|
collect_senders=False,
|
|
)
|
|
|
|
result: UnreadMessagesResult = dict(
|
|
pms=pm_objects,
|
|
streams=stream_objects,
|
|
huddles=huddle_objects,
|
|
mentions=mentions,
|
|
count=count,
|
|
old_unreads_missing=raw_data["old_unreads_missing"],
|
|
)
|
|
|
|
return result
|
|
|
|
|
|
def apply_unread_message_event(
|
|
user_profile: UserProfile,
|
|
state: RawUnreadMessagesResult,
|
|
message: Dict[str, Any],
|
|
flags: List[str],
|
|
) -> None:
|
|
message_id = message["id"]
|
|
if message["type"] == "stream":
|
|
message_type = "stream"
|
|
elif message["type"] == "private":
|
|
others = [recip for recip in message["display_recipient"] if recip["id"] != user_profile.id]
|
|
if len(others) <= 1:
|
|
message_type = "private"
|
|
else:
|
|
message_type = "huddle"
|
|
else:
|
|
raise AssertionError("Invalid message type {}".format(message["type"]))
|
|
|
|
sender_id = message["sender_id"]
|
|
|
|
if message_type == "stream":
|
|
stream_id = message["stream_id"]
|
|
topic = message[TOPIC_NAME]
|
|
new_row = dict(
|
|
stream_id=stream_id,
|
|
topic=topic,
|
|
sender_id=sender_id,
|
|
)
|
|
state["stream_dict"][message_id] = new_row
|
|
|
|
if stream_id not in state["muted_stream_ids"]:
|
|
# This next check hits the database.
|
|
if not topic_is_muted(user_profile, stream_id, topic):
|
|
state["unmuted_stream_msgs"].add(message_id)
|
|
|
|
elif message_type == "private":
|
|
if len(others) == 1:
|
|
other_id = others[0]["id"]
|
|
else:
|
|
other_id = user_profile.id
|
|
|
|
# The `sender_id` field here is misnamed.
|
|
new_row = dict(
|
|
sender_id=other_id,
|
|
)
|
|
state["pm_dict"][message_id] = new_row
|
|
|
|
else:
|
|
display_recipient = message["display_recipient"]
|
|
user_ids = [obj["id"] for obj in display_recipient]
|
|
user_ids = sorted(user_ids)
|
|
user_ids_string = ",".join(str(uid) for uid in user_ids)
|
|
new_row = dict(
|
|
user_ids_string=user_ids_string,
|
|
)
|
|
state["huddle_dict"][message_id] = new_row
|
|
|
|
if "mentioned" in flags:
|
|
state["mentions"].add(message_id)
|
|
if "wildcard_mentioned" in flags:
|
|
if message_id in state["unmuted_stream_msgs"]:
|
|
state["mentions"].add(message_id)
|
|
|
|
|
|
def remove_message_id_from_unread_mgs(state: RawUnreadMessagesResult, message_id: int) -> None:
|
|
# The opposite of apply_unread_message_event; removes a read or
|
|
# deleted message from a raw_unread_msgs data structure.
|
|
state["pm_dict"].pop(message_id, None)
|
|
state["stream_dict"].pop(message_id, None)
|
|
state["huddle_dict"].pop(message_id, None)
|
|
state["unmuted_stream_msgs"].discard(message_id)
|
|
state["mentions"].discard(message_id)
|
|
|
|
|
|
def estimate_recent_messages(realm: Realm, hours: int) -> int:
|
|
stat = COUNT_STATS["messages_sent:is_bot:hour"]
|
|
d = timezone_now() - datetime.timedelta(hours=hours)
|
|
return (
|
|
RealmCount.objects.filter(property=stat.property, end_time__gt=d, realm=realm).aggregate(
|
|
Sum("value")
|
|
)["value__sum"]
|
|
or 0
|
|
)
|
|
|
|
|
|
def get_first_visible_message_id(realm: Realm) -> int:
|
|
return realm.first_visible_message_id
|
|
|
|
|
|
def maybe_update_first_visible_message_id(realm: Realm, lookback_hours: int) -> None:
|
|
recent_messages_count = estimate_recent_messages(realm, lookback_hours)
|
|
if realm.message_visibility_limit is not None and recent_messages_count > 0:
|
|
update_first_visible_message_id(realm)
|
|
|
|
|
|
def update_first_visible_message_id(realm: Realm) -> None:
|
|
if realm.message_visibility_limit is None:
|
|
realm.first_visible_message_id = 0
|
|
else:
|
|
try:
|
|
first_visible_message_id = (
|
|
Message.objects.filter(sender__realm=realm)
|
|
.values("id")
|
|
.order_by("-id")[realm.message_visibility_limit - 1]["id"]
|
|
)
|
|
except IndexError:
|
|
first_visible_message_id = 0
|
|
realm.first_visible_message_id = first_visible_message_id
|
|
realm.save(update_fields=["first_visible_message_id"])
|
|
|
|
|
|
def get_last_message_id() -> int:
|
|
# We generally use this function to populate RealmAuditLog, and
|
|
# the max id here is actually systemwide, not per-realm. I
|
|
# assume there's some advantage in not filtering by realm.
|
|
last_id = Message.objects.aggregate(Max("id"))["id__max"]
|
|
if last_id is None:
|
|
# During initial realm creation, there might be 0 messages in
|
|
# the database; in that case, the `aggregate` query returns
|
|
# None. Since we want an int for "beginning of time", use -1.
|
|
last_id = -1
|
|
return last_id
|
|
|
|
|
|
def get_recent_conversations_recipient_id(
|
|
user_profile: UserProfile, recipient_id: int, sender_id: int
|
|
) -> int:
|
|
"""Helper for doing lookups of the recipient_id that
|
|
get_recent_private_conversations would have used to record that
|
|
message in its data structure.
|
|
"""
|
|
my_recipient_id = user_profile.recipient_id
|
|
if recipient_id == my_recipient_id:
|
|
return UserProfile.objects.values_list("recipient_id", flat=True).get(id=sender_id)
|
|
return recipient_id
|
|
|
|
|
|
def get_recent_private_conversations(user_profile: UserProfile) -> Dict[int, Dict[str, Any]]:
|
|
"""This function uses some carefully optimized SQL queries, designed
|
|
to use the UserMessage index on private_messages. It is
|
|
significantly complicated by the fact that for 1:1 private
|
|
messages, we store the message against a recipient_id of whichever
|
|
user was the recipient, and thus for 1:1 private messages sent
|
|
directly to us, we need to look up the other user from the
|
|
sender_id on those messages. You'll see that pattern repeated
|
|
both here and also in zerver/lib/events.py.
|
|
|
|
Ideally, we would write these queries using Django, but even
|
|
without the UNION ALL, that seems to not be possible, because the
|
|
equivalent Django syntax (for the first part of this query):
|
|
|
|
message_data = UserMessage.objects.select_related("message__recipient_id").filter(
|
|
user_profile=user_profile,
|
|
).extra(
|
|
where=[UserMessage.where_private()]
|
|
).order_by("-message_id")[:1000].values(
|
|
"message__recipient_id").annotate(last_message_id=Max("message_id"))
|
|
|
|
does not properly nest the GROUP BY (from .annotate) with the slicing.
|
|
|
|
We return a dictionary structure for convenient modification
|
|
below; this structure is converted into its final form by
|
|
post_process.
|
|
|
|
"""
|
|
RECENT_CONVERSATIONS_LIMIT = 1000
|
|
|
|
recipient_map = {}
|
|
my_recipient_id = user_profile.recipient_id
|
|
|
|
query = SQL(
|
|
"""
|
|
SELECT
|
|
subquery.recipient_id, MAX(subquery.message_id)
|
|
FROM (
|
|
(SELECT
|
|
um.message_id AS message_id,
|
|
m.recipient_id AS recipient_id
|
|
FROM
|
|
zerver_usermessage um
|
|
JOIN
|
|
zerver_message m
|
|
ON
|
|
um.message_id = m.id
|
|
WHERE
|
|
um.user_profile_id=%(user_profile_id)s AND
|
|
um.flags & 2048 <> 0 AND
|
|
m.recipient_id <> %(my_recipient_id)s
|
|
ORDER BY message_id DESC
|
|
LIMIT %(conversation_limit)s)
|
|
UNION ALL
|
|
(SELECT
|
|
m.id AS message_id,
|
|
sender_profile.recipient_id AS recipient_id
|
|
FROM
|
|
zerver_message m
|
|
JOIN
|
|
zerver_userprofile sender_profile
|
|
ON
|
|
m.sender_id = sender_profile.id
|
|
WHERE
|
|
m.recipient_id=%(my_recipient_id)s
|
|
ORDER BY message_id DESC
|
|
LIMIT %(conversation_limit)s)
|
|
) AS subquery
|
|
GROUP BY subquery.recipient_id
|
|
"""
|
|
)
|
|
|
|
with connection.cursor() as cursor:
|
|
cursor.execute(
|
|
query,
|
|
{
|
|
"user_profile_id": user_profile.id,
|
|
"conversation_limit": RECENT_CONVERSATIONS_LIMIT,
|
|
"my_recipient_id": my_recipient_id,
|
|
},
|
|
)
|
|
rows = cursor.fetchall()
|
|
|
|
# The resulting rows will be (recipient_id, max_message_id)
|
|
# objects for all parties we've had recent (group?) private
|
|
# message conversations with, including PMs with yourself (those
|
|
# will generate an empty list of user_ids).
|
|
for recipient_id, max_message_id in rows:
|
|
recipient_map[recipient_id] = dict(
|
|
max_message_id=max_message_id,
|
|
user_ids=[],
|
|
)
|
|
|
|
# Now we need to map all the recipient_id objects to lists of user IDs
|
|
for (recipient_id, user_profile_id) in (
|
|
Subscription.objects.filter(recipient_id__in=recipient_map.keys())
|
|
.exclude(user_profile_id=user_profile.id)
|
|
.values_list("recipient_id", "user_profile_id")
|
|
):
|
|
recipient_map[recipient_id]["user_ids"].append(user_profile_id)
|
|
|
|
# Sort to prevent test flakes and client bugs.
|
|
for rec in recipient_map.values():
|
|
rec["user_ids"].sort()
|
|
|
|
return recipient_map
|
|
|
|
|
|
def wildcard_mention_allowed(sender: UserProfile, stream: Stream) -> bool:
|
|
realm = sender.realm
|
|
|
|
# If there are fewer than Realm.WILDCARD_MENTION_THRESHOLD, we
|
|
# allow sending. In the future, we may want to make this behavior
|
|
# a default, and also just allow explicitly setting whether this
|
|
# applies to a stream as an override.
|
|
if num_subscribers_for_stream_id(stream.id) <= Realm.WILDCARD_MENTION_THRESHOLD:
|
|
return True
|
|
|
|
if realm.wildcard_mention_policy == Realm.WILDCARD_MENTION_POLICY_NOBODY:
|
|
return False
|
|
|
|
if realm.wildcard_mention_policy == Realm.WILDCARD_MENTION_POLICY_EVERYONE:
|
|
return True
|
|
|
|
if realm.wildcard_mention_policy == Realm.WILDCARD_MENTION_POLICY_ADMINS:
|
|
return sender.is_realm_admin
|
|
|
|
if realm.wildcard_mention_policy == Realm.WILDCARD_MENTION_POLICY_STREAM_ADMINS:
|
|
# TODO: Change this when we implement stream administrators
|
|
return sender.is_realm_admin
|
|
|
|
if realm.wildcard_mention_policy == Realm.WILDCARD_MENTION_POLICY_FULL_MEMBERS:
|
|
return sender.is_realm_admin or (not sender.is_provisional_member and not sender.is_guest)
|
|
|
|
if realm.wildcard_mention_policy == Realm.WILDCARD_MENTION_POLICY_MEMBERS:
|
|
return not sender.is_guest
|
|
|
|
raise AssertionError("Invalid wildcard mention policy")
|