2022-09-09 02:20:21 +02:00
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import re
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2022-11-10 00:52:13 +01:00
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from dataclasses import dataclass
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2022-09-09 02:20:21 +02:00
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from typing import (
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Any,
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Callable,
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Dict,
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2022-11-10 00:52:13 +01:00
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Generic,
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2022-09-09 02:20:21 +02:00
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Iterable,
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List,
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Optional,
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Sequence,
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2023-04-05 14:46:41 +02:00
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Set,
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2022-09-09 02:20:21 +02:00
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Tuple,
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2022-11-10 00:52:13 +01:00
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TypeVar,
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2022-09-09 02:20:21 +02:00
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Union,
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)
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2019-01-27 18:57:15 +01:00
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2022-09-09 02:20:21 +02:00
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import orjson
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2019-01-27 18:57:15 +01:00
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from django.conf import settings
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2022-09-09 02:20:21 +02:00
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from django.core.exceptions import ValidationError
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from django.db import connection
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2021-04-16 00:57:30 +02:00
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from django.utils.translation import gettext as _
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2024-04-17 17:33:26 +02:00
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from pydantic import BaseModel, model_validator
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2022-09-09 02:20:21 +02:00
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from sqlalchemy.dialects import postgresql
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2022-11-10 00:35:52 +01:00
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from sqlalchemy.engine import Connection, Row
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2022-09-09 02:20:21 +02:00
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from sqlalchemy.sql import (
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ClauseElement,
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ColumnElement,
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Select,
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and_,
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column,
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2024-04-16 00:54:00 +02:00
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false,
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2022-09-09 02:20:21 +02:00
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func,
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join,
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literal,
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literal_column,
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not_,
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or_,
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select,
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table,
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2022-10-21 19:29:15 +02:00
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union_all,
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2022-09-09 02:20:21 +02:00
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)
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2022-10-21 19:29:15 +02:00
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from sqlalchemy.sql.selectable import SelectBase
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2022-09-09 02:20:21 +02:00
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from sqlalchemy.types import ARRAY, Boolean, Integer, Text
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2023-10-12 19:43:45 +02:00
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from typing_extensions import TypeAlias, override
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2016-05-25 15:02:02 +02:00
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2022-09-09 02:20:21 +02:00
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from zerver.lib.addressee import get_user_profiles, get_user_profiles_by_ids
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from zerver.lib.exceptions import ErrorCode, JsonableError
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2022-11-10 00:35:52 +01:00
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from zerver.lib.message import get_first_visible_message_id
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2024-04-15 23:10:59 +02:00
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from zerver.lib.narrow_predicate import channel_operators, channels_operators
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2022-09-09 02:20:21 +02:00
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from zerver.lib.recipient_users import recipient_for_user_profiles
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2022-11-10 00:35:52 +01:00
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from zerver.lib.sqlalchemy_utils import get_sqlalchemy_connection
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2022-09-09 02:20:21 +02:00
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from zerver.lib.streams import (
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2022-10-19 04:14:36 +02:00
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can_access_stream_history_by_id,
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can_access_stream_history_by_name,
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2022-09-09 02:20:21 +02:00
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get_public_streams_queryset,
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get_stream_by_narrow_operand_access_unchecked,
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get_web_public_streams_queryset,
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)
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2024-04-15 21:40:37 +02:00
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from zerver.lib.topic_sqlalchemy import (
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2022-09-09 02:20:21 +02:00
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get_resolved_topic_condition_sa,
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topic_column_sa,
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topic_match_sa,
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)
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from zerver.lib.types import Validator
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from zerver.lib.user_topics import exclude_topic_mutes
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from zerver.lib.validator import (
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check_bool,
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check_dict,
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check_required_string,
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check_string,
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check_string_or_int,
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check_string_or_int_list,
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)
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2024-04-16 00:54:00 +02:00
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from zerver.models import Huddle, Realm, Recipient, Stream, Subscription, UserMessage, UserProfile
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2023-12-15 03:57:04 +01:00
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from zerver.models.streams import get_active_streams
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2023-12-15 01:16:00 +01:00
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from zerver.models.users import (
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get_user_by_id_in_realm_including_cross_realm,
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get_user_including_cross_realm,
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)
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2019-01-27 18:57:15 +01:00
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2021-02-12 08:19:30 +01:00
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2024-04-17 17:33:26 +02:00
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class NarrowParameter(BaseModel):
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operator: str
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operand: Any
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negated: bool = False
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@model_validator(mode="before")
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@classmethod
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def convert_term(cls, elem: Union[Dict[str, Any], List[str]]) -> Dict[str, Any]:
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# We have to support a legacy tuple format.
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if isinstance(elem, list):
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if len(elem) != 2 or any(not isinstance(x, str) for x in elem):
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raise ValueError("element is not a string pair")
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return dict(operator=elem[0], operand=elem[1])
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elif isinstance(elem, dict):
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if "operand" not in elem or elem["operand"] is None:
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raise ValueError("operand is missing")
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if "operator" not in elem or elem["operator"] is None:
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raise ValueError("operator is missing")
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return elem
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else:
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raise ValueError("dict or list required")
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@model_validator(mode="after")
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def validate_terms(self) -> "NarrowParameter":
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# Make sure to sync this list to frontend also when adding a new operator that
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# supports integer IDs. Relevant code is located in web/src/message_fetch.js
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# in handle_operators_supporting_id_based_api function where you will need to
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# update operators_supporting_id, or operators_supporting_ids array.
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operators_supporting_id = [
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*channel_operators,
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"id",
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"sender",
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"group-pm-with",
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"dm-including",
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]
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operators_supporting_ids = ["pm-with", "dm"]
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operators_non_empty_operand = {"search"}
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operator = self.operator
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if operator in operators_supporting_id:
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operand_validator: Validator[object] = check_string_or_int
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elif operator in operators_supporting_ids:
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operand_validator = check_string_or_int_list
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elif operator in operators_non_empty_operand:
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operand_validator = check_required_string
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else:
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operand_validator = check_string
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try:
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self.operand = operand_validator("operand", self.operand)
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self.operator = check_string("operator", self.operator)
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if self.negated is not None:
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self.negated = check_bool("negated", self.negated)
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except ValidationError as error:
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raise JsonableError(error.message)
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# whitelist the fields we care about for now
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return self
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2021-09-04 04:03:07 +02:00
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def is_spectator_compatible(narrow: Iterable[Dict[str, Any]]) -> bool:
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# This implementation should agree with is_spectator_compatible in hash_parser.ts.
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supported_operators = [
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*channel_operators,
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*channels_operators,
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"topic",
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"sender",
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"has",
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"search",
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"near",
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"id",
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]
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2018-05-21 17:44:00 +02:00
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for element in narrow:
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operator = element["operator"]
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if "operand" not in element:
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2018-05-21 17:44:00 +02:00
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return False
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if operator not in supported_operators:
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return False
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return True
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2021-02-12 08:19:30 +01:00
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2020-08-04 19:33:43 +02:00
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def is_web_public_narrow(narrow: Optional[Iterable[Dict[str, Any]]]) -> bool:
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if narrow is None:
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return False
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2023-01-05 07:25:17 +01:00
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return any(
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2022-01-29 00:54:13 +01:00
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# Web-public queries are only allowed for limited types of narrows.
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2024-03-14 19:53:40 +01:00
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# term == {'operator': 'channels', 'operand': 'web-public', 'negated': False}
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# or term == {'operator': 'streams', 'operand': 'web-public', 'negated': False}
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term["operator"] in channels_operators
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and term["operand"] == "web-public"
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and term["negated"] is False
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for term in narrow
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)
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2020-08-04 19:33:43 +02:00
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2021-02-12 08:19:30 +01:00
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2022-10-19 04:19:19 +02:00
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LARGER_THAN_MAX_MESSAGE_ID = 10000000000000000
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2022-11-17 09:30:48 +01:00
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class BadNarrowOperatorError(JsonableError):
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code = ErrorCode.BAD_NARROW
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data_fields = ["desc"]
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def __init__(self, desc: str) -> None:
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self.desc: str = desc
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@staticmethod
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@override
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def msg_format() -> str:
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return _("Invalid narrow operator: {desc}")
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2023-08-02 23:53:10 +02:00
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ConditionTransform: TypeAlias = Callable[[ClauseElement], ClauseElement]
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2022-09-09 02:20:21 +02:00
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2023-08-02 23:53:10 +02:00
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OptionalNarrowListT: TypeAlias = Optional[List[Dict[str, Any]]]
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2022-09-09 02:20:21 +02:00
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# These delimiters will not appear in rendered messages or HTML-escaped topics.
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TS_START = "<ts-match>"
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TS_STOP = "</ts-match>"
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def ts_locs_array(
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config: ColumnElement[Text],
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text: ColumnElement[Text],
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tsquery: ColumnElement[Any],
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) -> ColumnElement[ARRAY[Integer]]:
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options = f"HighlightAll = TRUE, StartSel = {TS_START}, StopSel = {TS_STOP}"
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delimited = func.ts_headline(config, text, tsquery, options, type_=Text)
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part = func.unnest(
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func.string_to_array(delimited, TS_START, type_=ARRAY(Text)), type_=Text
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).column_valued()
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part_len = func.length(part, type_=Integer) - len(TS_STOP)
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match_pos = func.sum(part_len, type_=Integer).over(rows=(None, -1)) + len(TS_STOP)
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match_len = func.strpos(part, TS_STOP, type_=Integer) - 1
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return func.array(
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select(postgresql.array([match_pos, match_len])).offset(1).scalar_subquery(),
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type_=ARRAY(Integer),
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)
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class NarrowBuilder:
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"""
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Build up a SQLAlchemy query to find messages matching a narrow.
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"""
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# This class has an important security invariant:
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#
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# None of these methods ever *add* messages to a query's result.
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#
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# That is, the `add_term` method, and its helpers the `by_*` methods,
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# are passed a Select object representing a query for messages; they may
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# call some methods on it, and then they return a resulting Select
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# object. Things these methods may do to the queries they handle
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# include
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# * add conditions to filter out rows (i.e., messages), with `query.where`
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# * add columns for more information on the same message, with `query.column`
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# * add a join for more information on the same message
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#
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# Things they may not do include
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# * anything that would pull in additional rows, or information on
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# other messages.
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def __init__(
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self,
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user_profile: Optional[UserProfile],
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msg_id_column: ColumnElement[Integer],
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realm: Realm,
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is_web_public_query: bool = False,
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) -> None:
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self.user_profile = user_profile
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self.msg_id_column = msg_id_column
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self.realm = realm
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self.is_web_public_query = is_web_public_query
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2023-03-20 19:58:10 +01:00
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self.by_method_map = {
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"has": self.by_has,
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"in": self.by_in,
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"is": self.by_is,
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2024-03-14 16:29:27 +01:00
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"channel": self.by_channel,
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# "stream" is a legacy alias for "channel"
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"stream": self.by_channel,
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2024-03-14 19:53:40 +01:00
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"channels": self.by_channels,
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# "streams" is a legacy alias for "channels"
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"streams": self.by_channels,
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2023-03-20 19:58:10 +01:00
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"topic": self.by_topic,
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"sender": self.by_sender,
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"near": self.by_near,
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"id": self.by_id,
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"search": self.by_search,
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2023-04-03 17:52:19 +02:00
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"dm": self.by_dm,
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# "pm-with:" is a legacy alias for "dm:"
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"pm-with": self.by_dm,
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2023-04-05 17:46:43 +02:00
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"dm-including": self.by_dm_including,
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# "group-pm-with:" was deprecated by the addition of "dm-including:"
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2023-03-20 19:58:10 +01:00
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"group-pm-with": self.by_group_pm_with,
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2023-03-24 15:12:17 +01:00
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# TODO/compatibility: Prior to commit a9b3a9c, the server implementation
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# for documented search operators with dashes, also implicitly supported
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# clients sending those same operators with underscores. We can remove
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# support for the below operators when support for the associated dashed
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# operator is removed.
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2023-04-03 17:52:19 +02:00
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"pm_with": self.by_dm,
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2023-03-24 15:12:17 +01:00
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"group_pm_with": self.by_group_pm_with,
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2023-03-20 19:58:10 +01:00
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}
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2024-03-14 15:32:06 +01:00
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self.is_channel_narrow = False
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2023-12-06 20:41:08 +01:00
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self.is_dm_narrow = False
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2024-03-14 15:32:06 +01:00
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def check_not_both_channel_and_dm_narrow(
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self, is_dm_narrow: bool = False, is_channel_narrow: bool = False
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2023-12-06 20:41:08 +01:00
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) -> None:
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if is_dm_narrow:
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self.is_dm_narrow = True
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2024-03-14 15:32:06 +01:00
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if is_channel_narrow:
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self.is_channel_narrow = True
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if self.is_channel_narrow and self.is_dm_narrow:
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raise BadNarrowOperatorError(
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"No message can be both a channel message and direct message"
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)
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2022-09-09 02:20:21 +02:00
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def add_term(self, query: Select, term: Dict[str, Any]) -> Select:
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"""
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Extend the given query to one narrowed by the given term, and return the result.
|
|
|
|
|
|
|
|
This method satisfies an important security property: the returned
|
|
|
|
query never includes a message that the given query didn't. In
|
|
|
|
particular, if the given query will only find messages that a given
|
|
|
|
user can legitimately see, then so will the returned query.
|
|
|
|
"""
|
|
|
|
# To maintain the security property, we hold all the `by_*`
|
|
|
|
# methods to the same criterion. See the class's block comment
|
|
|
|
# for details.
|
|
|
|
|
|
|
|
operator = term["operator"]
|
|
|
|
operand = term["operand"]
|
|
|
|
|
|
|
|
negated = term.get("negated", False)
|
|
|
|
|
2023-03-20 19:58:10 +01:00
|
|
|
if operator in self.by_method_map:
|
|
|
|
method = self.by_method_map[operator]
|
|
|
|
else:
|
2022-11-17 09:30:48 +01:00
|
|
|
raise BadNarrowOperatorError("unknown operator " + operator)
|
2022-09-09 02:20:21 +02:00
|
|
|
|
|
|
|
if negated:
|
|
|
|
maybe_negate = not_
|
|
|
|
else:
|
|
|
|
maybe_negate = lambda cond: cond
|
|
|
|
|
|
|
|
return method(query, operand, maybe_negate)
|
|
|
|
|
|
|
|
def by_has(self, query: Select, operand: str, maybe_negate: ConditionTransform) -> Select:
|
2024-04-02 06:24:20 +02:00
|
|
|
if operand not in ["attachment", "image", "link", "reaction"]:
|
2022-11-17 09:30:48 +01:00
|
|
|
raise BadNarrowOperatorError("unknown 'has' operand " + operand)
|
2024-04-02 06:24:20 +02:00
|
|
|
|
|
|
|
if operand == "reaction":
|
|
|
|
if self.msg_id_column.name == "message_id":
|
|
|
|
# If the initial query uses `zerver_usermessage`
|
|
|
|
check_col = literal_column("zerver_usermessage.message_id", Integer)
|
|
|
|
else:
|
|
|
|
# If the initial query doesn't use `zerver_usermessage`
|
|
|
|
check_col = literal_column("zerver_message.id", Integer)
|
|
|
|
exists_cond = (
|
|
|
|
select([1])
|
|
|
|
.select_from(table("zerver_reaction"))
|
|
|
|
.where(check_col == literal_column("zerver_reaction.message_id", Integer))
|
|
|
|
.exists()
|
|
|
|
)
|
|
|
|
return query.where(maybe_negate(exists_cond))
|
|
|
|
|
2022-09-09 02:20:21 +02:00
|
|
|
col_name = "has_" + operand
|
|
|
|
cond = column(col_name, Boolean)
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
|
|
|
def by_in(self, query: Select, operand: str, maybe_negate: ConditionTransform) -> Select:
|
|
|
|
# This operator does not support is_web_public_query.
|
|
|
|
assert not self.is_web_public_query
|
|
|
|
assert self.user_profile is not None
|
|
|
|
|
|
|
|
if operand == "home":
|
|
|
|
conditions = exclude_muting_conditions(self.user_profile, [])
|
|
|
|
return query.where(and_(*conditions))
|
|
|
|
elif operand == "all":
|
|
|
|
return query
|
|
|
|
|
2022-11-17 09:30:48 +01:00
|
|
|
raise BadNarrowOperatorError("unknown 'in' operand " + operand)
|
2022-09-09 02:20:21 +02:00
|
|
|
|
|
|
|
def by_is(self, query: Select, operand: str, maybe_negate: ConditionTransform) -> Select:
|
|
|
|
# This operator class does not support is_web_public_query.
|
|
|
|
assert not self.is_web_public_query
|
|
|
|
assert self.user_profile is not None
|
|
|
|
|
2023-04-03 13:58:08 +02:00
|
|
|
if operand in ["dm", "private"]:
|
|
|
|
# "is:private" is a legacy alias for "is:dm"
|
2024-03-14 15:32:06 +01:00
|
|
|
self.check_not_both_channel_and_dm_narrow(is_dm_narrow=True)
|
2022-09-09 02:20:21 +02:00
|
|
|
cond = column("flags", Integer).op("&")(UserMessage.flags.is_private.mask) != 0
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
elif operand == "starred":
|
|
|
|
cond = column("flags", Integer).op("&")(UserMessage.flags.starred.mask) != 0
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
elif operand == "unread":
|
|
|
|
cond = column("flags", Integer).op("&")(UserMessage.flags.read.mask) == 0
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
elif operand == "mentioned":
|
2023-10-19 18:11:53 +02:00
|
|
|
mention_flags_mask = (
|
|
|
|
UserMessage.flags.mentioned.mask
|
2023-11-03 15:20:44 +01:00
|
|
|
| UserMessage.flags.stream_wildcard_mentioned.mask
|
2023-10-19 18:11:53 +02:00
|
|
|
| UserMessage.flags.topic_wildcard_mentioned.mask
|
|
|
|
| UserMessage.flags.group_mentioned.mask
|
|
|
|
)
|
|
|
|
cond = column("flags", Integer).op("&")(mention_flags_mask) != 0
|
2022-09-09 02:20:21 +02:00
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
elif operand == "alerted":
|
|
|
|
cond = column("flags", Integer).op("&")(UserMessage.flags.has_alert_word.mask) != 0
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
elif operand == "resolved":
|
|
|
|
cond = get_resolved_topic_condition_sa()
|
|
|
|
return query.where(maybe_negate(cond))
|
2022-11-17 09:30:48 +01:00
|
|
|
raise BadNarrowOperatorError("unknown 'is' operand " + operand)
|
2022-09-09 02:20:21 +02:00
|
|
|
|
|
|
|
_alphanum = frozenset("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789")
|
|
|
|
|
|
|
|
def _pg_re_escape(self, pattern: str) -> str:
|
|
|
|
"""
|
|
|
|
Escape user input to place in a regex
|
|
|
|
|
|
|
|
Python's re.escape escapes Unicode characters in a way which PostgreSQL
|
|
|
|
fails on, '\u03bb' to '\\\u03bb'. This function will correctly escape
|
|
|
|
them for PostgreSQL, '\u03bb' to '\\u03bb'.
|
|
|
|
"""
|
|
|
|
s = list(pattern)
|
|
|
|
for i, c in enumerate(s):
|
|
|
|
if c not in self._alphanum:
|
|
|
|
if ord(c) >= 128:
|
|
|
|
# convert the character to hex PostgreSQL regex will take
|
|
|
|
# \uXXXX
|
|
|
|
s[i] = f"\\u{ord(c):0>4x}"
|
|
|
|
else:
|
|
|
|
s[i] = "\\" + c
|
|
|
|
return "".join(s)
|
|
|
|
|
2024-03-14 16:29:27 +01:00
|
|
|
def by_channel(
|
2022-09-09 02:20:21 +02:00
|
|
|
self, query: Select, operand: Union[str, int], maybe_negate: ConditionTransform
|
|
|
|
) -> Select:
|
2024-03-14 15:32:06 +01:00
|
|
|
self.check_not_both_channel_and_dm_narrow(is_channel_narrow=True)
|
2023-12-06 20:41:08 +01:00
|
|
|
|
2022-09-09 02:20:21 +02:00
|
|
|
try:
|
|
|
|
# Because you can see your own message history for
|
2024-03-14 16:29:27 +01:00
|
|
|
# private channels you are no longer subscribed to, we
|
2022-09-09 02:20:21 +02:00
|
|
|
# need get_stream_by_narrow_operand_access_unchecked here.
|
2024-03-14 16:29:27 +01:00
|
|
|
channel = get_stream_by_narrow_operand_access_unchecked(operand, self.realm)
|
2022-09-09 02:20:21 +02:00
|
|
|
|
2024-03-14 16:29:27 +01:00
|
|
|
if self.is_web_public_query and not channel.is_web_public:
|
|
|
|
raise BadNarrowOperatorError("unknown web-public channel " + str(operand))
|
2022-09-09 02:20:21 +02:00
|
|
|
except Stream.DoesNotExist:
|
2024-03-14 16:29:27 +01:00
|
|
|
raise BadNarrowOperatorError("unknown channel " + str(operand))
|
2022-09-09 02:20:21 +02:00
|
|
|
|
|
|
|
if self.realm.is_zephyr_mirror_realm:
|
|
|
|
# MIT users expect narrowing to "social" to also show messages to
|
|
|
|
# /^(un)*social(.d)*$/ (unsocial, ununsocial, social.d, ...).
|
|
|
|
|
|
|
|
# In `ok_to_include_history`, we assume that a non-negated
|
2024-03-14 16:29:27 +01:00
|
|
|
# `channel` term for a public channel will limit the query to
|
|
|
|
# that specific channel. So it would be a bug to hit this
|
|
|
|
# codepath after relying on this term there. But all channels in
|
2022-09-09 02:20:21 +02:00
|
|
|
# a Zephyr realm are private, so that doesn't happen.
|
2024-03-14 16:29:27 +01:00
|
|
|
assert not channel.is_public()
|
2022-09-09 02:20:21 +02:00
|
|
|
|
2024-03-14 16:29:27 +01:00
|
|
|
m = re.search(r"^(?:un)*(.+?)(?:\.d)*$", channel.name, re.IGNORECASE)
|
2022-09-09 02:20:21 +02:00
|
|
|
# Since the regex has a `.+` in it and "" is invalid as a
|
2024-03-14 16:29:27 +01:00
|
|
|
# channel name, this will always match
|
2022-09-09 02:20:21 +02:00
|
|
|
assert m is not None
|
2024-03-14 16:29:27 +01:00
|
|
|
base_channel_name = m.group(1)
|
2022-09-09 02:20:21 +02:00
|
|
|
|
2024-03-14 16:29:27 +01:00
|
|
|
matching_channels = get_active_streams(self.realm).filter(
|
|
|
|
name__iregex=rf"^(un)*{self._pg_re_escape(base_channel_name)}(\.d)*$"
|
2022-09-09 02:20:21 +02:00
|
|
|
)
|
2024-03-14 16:29:27 +01:00
|
|
|
recipient_ids = [
|
|
|
|
matching_channel.recipient_id for matching_channel in matching_channels
|
|
|
|
]
|
2022-09-09 02:20:21 +02:00
|
|
|
cond = column("recipient_id", Integer).in_(recipient_ids)
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
2024-03-14 16:29:27 +01:00
|
|
|
recipient_id = channel.recipient_id
|
2023-07-21 12:05:49 +02:00
|
|
|
assert recipient_id is not None
|
|
|
|
cond = column("recipient_id", Integer) == recipient_id
|
2022-09-09 02:20:21 +02:00
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
2024-03-14 19:53:40 +01:00
|
|
|
def by_channels(self, query: Select, operand: str, maybe_negate: ConditionTransform) -> Select:
|
2024-03-14 15:32:06 +01:00
|
|
|
self.check_not_both_channel_and_dm_narrow(is_channel_narrow=True)
|
2023-12-06 20:41:08 +01:00
|
|
|
|
2022-09-09 02:20:21 +02:00
|
|
|
if operand == "public":
|
2024-03-14 19:53:40 +01:00
|
|
|
# Get all both subscribed and non-subscribed public channels
|
|
|
|
# but exclude any private subscribed channels.
|
2022-09-09 02:20:21 +02:00
|
|
|
recipient_queryset = get_public_streams_queryset(self.realm)
|
|
|
|
elif operand == "web-public":
|
|
|
|
recipient_queryset = get_web_public_streams_queryset(self.realm)
|
|
|
|
else:
|
2024-03-14 19:53:40 +01:00
|
|
|
raise BadNarrowOperatorError("unknown channels operand " + operand)
|
2022-09-09 02:20:21 +02:00
|
|
|
|
|
|
|
recipient_ids = recipient_queryset.values_list("recipient_id", flat=True).order_by("id")
|
|
|
|
cond = column("recipient_id", Integer).in_(recipient_ids)
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
|
|
|
def by_topic(self, query: Select, operand: str, maybe_negate: ConditionTransform) -> Select:
|
2024-03-14 15:32:06 +01:00
|
|
|
self.check_not_both_channel_and_dm_narrow(is_channel_narrow=True)
|
2023-12-06 20:41:08 +01:00
|
|
|
|
2022-09-09 02:20:21 +02:00
|
|
|
if self.realm.is_zephyr_mirror_realm:
|
|
|
|
# MIT users expect narrowing to topic "foo" to also show messages to /^foo(.d)*$/
|
|
|
|
# (foo, foo.d, foo.d.d, etc)
|
|
|
|
m = re.search(r"^(.*?)(?:\.d)*$", operand, re.IGNORECASE)
|
|
|
|
# Since the regex has a `.*` in it, this will always match
|
|
|
|
assert m is not None
|
|
|
|
base_topic = m.group(1)
|
|
|
|
|
|
|
|
# Additionally, MIT users expect the empty instance and
|
|
|
|
# instance "personal" to be the same.
|
|
|
|
if base_topic in ("", "personal", '(instance "")'):
|
|
|
|
cond: ClauseElement = or_(
|
|
|
|
topic_match_sa(""),
|
|
|
|
topic_match_sa(".d"),
|
|
|
|
topic_match_sa(".d.d"),
|
|
|
|
topic_match_sa(".d.d.d"),
|
|
|
|
topic_match_sa(".d.d.d.d"),
|
|
|
|
topic_match_sa("personal"),
|
|
|
|
topic_match_sa("personal.d"),
|
|
|
|
topic_match_sa("personal.d.d"),
|
|
|
|
topic_match_sa("personal.d.d.d"),
|
|
|
|
topic_match_sa("personal.d.d.d.d"),
|
|
|
|
topic_match_sa('(instance "")'),
|
|
|
|
topic_match_sa('(instance "").d'),
|
|
|
|
topic_match_sa('(instance "").d.d'),
|
|
|
|
topic_match_sa('(instance "").d.d.d'),
|
|
|
|
topic_match_sa('(instance "").d.d.d.d'),
|
|
|
|
)
|
|
|
|
else:
|
|
|
|
# We limit `.d` counts, since PostgreSQL has much better
|
|
|
|
# query planning for this than they do for a regular
|
|
|
|
# expression (which would sometimes table scan).
|
|
|
|
cond = or_(
|
|
|
|
topic_match_sa(base_topic),
|
|
|
|
topic_match_sa(base_topic + ".d"),
|
|
|
|
topic_match_sa(base_topic + ".d.d"),
|
|
|
|
topic_match_sa(base_topic + ".d.d.d"),
|
|
|
|
topic_match_sa(base_topic + ".d.d.d.d"),
|
|
|
|
)
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
|
|
|
cond = topic_match_sa(operand)
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
|
|
|
def by_sender(
|
|
|
|
self, query: Select, operand: Union[str, int], maybe_negate: ConditionTransform
|
|
|
|
) -> Select:
|
|
|
|
try:
|
|
|
|
if isinstance(operand, str):
|
|
|
|
sender = get_user_including_cross_realm(operand, self.realm)
|
|
|
|
else:
|
|
|
|
sender = get_user_by_id_in_realm_including_cross_realm(operand, self.realm)
|
|
|
|
except UserProfile.DoesNotExist:
|
2022-11-17 09:30:48 +01:00
|
|
|
raise BadNarrowOperatorError("unknown user " + str(operand))
|
2022-09-09 02:20:21 +02:00
|
|
|
|
|
|
|
cond = column("sender_id", Integer) == literal(sender.id)
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
|
|
|
def by_near(self, query: Select, operand: str, maybe_negate: ConditionTransform) -> Select:
|
|
|
|
return query
|
|
|
|
|
|
|
|
def by_id(
|
|
|
|
self, query: Select, operand: Union[int, str], maybe_negate: ConditionTransform
|
|
|
|
) -> Select:
|
|
|
|
if not str(operand).isdigit():
|
2022-11-17 09:30:48 +01:00
|
|
|
raise BadNarrowOperatorError("Invalid message ID")
|
2022-09-09 02:20:21 +02:00
|
|
|
cond = self.msg_id_column == literal(operand)
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
2023-04-03 17:52:19 +02:00
|
|
|
def by_dm(
|
2022-09-09 02:20:21 +02:00
|
|
|
self, query: Select, operand: Union[str, Iterable[int]], maybe_negate: ConditionTransform
|
|
|
|
) -> Select:
|
|
|
|
# This operator does not support is_web_public_query.
|
|
|
|
assert not self.is_web_public_query
|
|
|
|
assert self.user_profile is not None
|
|
|
|
|
2024-03-14 15:32:06 +01:00
|
|
|
self.check_not_both_channel_and_dm_narrow(is_dm_narrow=True)
|
2023-12-06 20:41:08 +01:00
|
|
|
|
2022-09-09 02:20:21 +02:00
|
|
|
try:
|
|
|
|
if isinstance(operand, str):
|
|
|
|
email_list = operand.split(",")
|
|
|
|
user_profiles = get_user_profiles(
|
|
|
|
emails=email_list,
|
|
|
|
realm=self.realm,
|
|
|
|
)
|
|
|
|
else:
|
|
|
|
"""
|
|
|
|
This is where we handle passing a list of user IDs for the narrow, which is the
|
|
|
|
preferred/cleaner API.
|
|
|
|
"""
|
|
|
|
user_profiles = get_user_profiles_by_ids(
|
|
|
|
user_ids=operand,
|
|
|
|
realm=self.realm,
|
|
|
|
)
|
|
|
|
|
|
|
|
recipient = recipient_for_user_profiles(
|
|
|
|
user_profiles=user_profiles,
|
|
|
|
forwarded_mirror_message=False,
|
|
|
|
forwarder_user_profile=None,
|
|
|
|
sender=self.user_profile,
|
|
|
|
allow_deactivated=True,
|
2024-04-16 00:54:00 +02:00
|
|
|
create=False,
|
2022-09-09 02:20:21 +02:00
|
|
|
)
|
|
|
|
except (JsonableError, ValidationError):
|
2022-11-17 09:30:48 +01:00
|
|
|
raise BadNarrowOperatorError("unknown user in " + str(operand))
|
2024-04-16 00:54:00 +02:00
|
|
|
except Huddle.DoesNotExist:
|
|
|
|
# Group DM where huddle doesn't exist
|
|
|
|
return query.where(maybe_negate(false()))
|
2022-09-09 02:20:21 +02:00
|
|
|
|
2023-04-03 17:52:19 +02:00
|
|
|
# Group direct message
|
2024-03-22 00:39:33 +01:00
|
|
|
if recipient.type == Recipient.DIRECT_MESSAGE_GROUP:
|
2022-09-09 02:20:21 +02:00
|
|
|
cond = column("recipient_id", Integer) == recipient.id
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
2023-04-03 17:52:19 +02:00
|
|
|
# 1:1 direct message
|
2022-09-09 02:20:21 +02:00
|
|
|
other_participant = None
|
|
|
|
|
2023-04-03 17:52:19 +02:00
|
|
|
# Find if another person is in direct message
|
2022-09-09 02:20:21 +02:00
|
|
|
for user in user_profiles:
|
|
|
|
if user.id != self.user_profile.id:
|
|
|
|
other_participant = user
|
|
|
|
|
2023-04-03 17:52:19 +02:00
|
|
|
# Direct message with another person
|
2022-09-09 02:20:21 +02:00
|
|
|
if other_participant:
|
2023-04-03 17:52:19 +02:00
|
|
|
# We need bidirectional direct messages with another person.
|
2022-09-09 02:20:21 +02:00
|
|
|
# But Recipient.PERSONAL objects only encode the person who
|
|
|
|
# received the message, and not the other participant in
|
|
|
|
# the thread (the sender), we need to do a somewhat
|
|
|
|
# complex query to get messages between these two users
|
|
|
|
# with either of them as the sender.
|
|
|
|
self_recipient_id = self.user_profile.recipient_id
|
2023-09-27 05:17:20 +02:00
|
|
|
cond = and_(
|
2023-09-27 06:02:24 +02:00
|
|
|
column("flags", Integer).op("&")(UserMessage.flags.is_private.mask) != 0,
|
2023-09-27 05:17:20 +02:00
|
|
|
column("realm_id", Integer) == self.realm.id,
|
|
|
|
or_(
|
|
|
|
and_(
|
|
|
|
column("sender_id", Integer) == other_participant.id,
|
|
|
|
column("recipient_id", Integer) == self_recipient_id,
|
|
|
|
),
|
|
|
|
and_(
|
|
|
|
column("sender_id", Integer) == self.user_profile.id,
|
|
|
|
column("recipient_id", Integer) == recipient.id,
|
|
|
|
),
|
2022-09-09 02:20:21 +02:00
|
|
|
),
|
|
|
|
)
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
2023-04-03 17:52:19 +02:00
|
|
|
# Direct message with self
|
2022-09-09 02:20:21 +02:00
|
|
|
cond = and_(
|
2023-09-27 06:02:24 +02:00
|
|
|
column("flags", Integer).op("&")(UserMessage.flags.is_private.mask) != 0,
|
2023-09-27 05:17:20 +02:00
|
|
|
column("realm_id", Integer) == self.realm.id,
|
2022-09-09 02:20:21 +02:00
|
|
|
column("sender_id", Integer) == self.user_profile.id,
|
|
|
|
column("recipient_id", Integer) == recipient.id,
|
|
|
|
)
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
2023-04-05 14:46:41 +02:00
|
|
|
def _get_huddle_recipients(self, other_user: UserProfile) -> Set[int]:
|
|
|
|
self_recipient_ids = [
|
|
|
|
recipient_tuple["recipient_id"]
|
|
|
|
for recipient_tuple in Subscription.objects.filter(
|
|
|
|
user_profile=self.user_profile,
|
2024-03-22 00:39:33 +01:00
|
|
|
recipient__type=Recipient.DIRECT_MESSAGE_GROUP,
|
2023-04-05 14:46:41 +02:00
|
|
|
).values("recipient_id")
|
|
|
|
]
|
|
|
|
narrow_recipient_ids = [
|
|
|
|
recipient_tuple["recipient_id"]
|
|
|
|
for recipient_tuple in Subscription.objects.filter(
|
|
|
|
user_profile=other_user,
|
2024-03-22 00:39:33 +01:00
|
|
|
recipient__type=Recipient.DIRECT_MESSAGE_GROUP,
|
2023-04-05 14:46:41 +02:00
|
|
|
).values("recipient_id")
|
|
|
|
]
|
|
|
|
|
|
|
|
return set(self_recipient_ids) & set(narrow_recipient_ids)
|
|
|
|
|
2023-04-05 17:46:43 +02:00
|
|
|
def by_dm_including(
|
|
|
|
self, query: Select, operand: Union[str, int], maybe_negate: ConditionTransform
|
|
|
|
) -> Select:
|
|
|
|
# This operator does not support is_web_public_query.
|
|
|
|
assert not self.is_web_public_query
|
|
|
|
assert self.user_profile is not None
|
|
|
|
|
2024-03-14 15:32:06 +01:00
|
|
|
self.check_not_both_channel_and_dm_narrow(is_dm_narrow=True)
|
2023-12-06 20:41:08 +01:00
|
|
|
|
2023-04-05 17:46:43 +02:00
|
|
|
try:
|
|
|
|
if isinstance(operand, str):
|
|
|
|
narrow_user_profile = get_user_including_cross_realm(operand, self.realm)
|
|
|
|
else:
|
|
|
|
narrow_user_profile = get_user_by_id_in_realm_including_cross_realm(
|
|
|
|
operand, self.realm
|
|
|
|
)
|
|
|
|
except UserProfile.DoesNotExist:
|
|
|
|
raise BadNarrowOperatorError("unknown user " + str(operand))
|
|
|
|
|
|
|
|
# "dm-including" when combined with the user's own ID/email as the operand
|
|
|
|
# should return all group and 1:1 direct messages (including direct messages
|
|
|
|
# with self), so the simplest query to get these messages is the same as "is:dm".
|
|
|
|
if narrow_user_profile.id == self.user_profile.id:
|
|
|
|
cond = column("flags", Integer).op("&")(UserMessage.flags.is_private.mask) != 0
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
|
|
|
# all direct messages including another person (group and 1:1)
|
|
|
|
huddle_recipient_ids = self._get_huddle_recipients(narrow_user_profile)
|
|
|
|
|
|
|
|
self_recipient_id = self.user_profile.recipient_id
|
|
|
|
# See note above in `by_dm` about needing bidirectional messages
|
|
|
|
# for direct messages with another person.
|
2023-09-27 05:17:20 +02:00
|
|
|
cond = and_(
|
2023-09-27 06:02:24 +02:00
|
|
|
column("flags", Integer).op("&")(UserMessage.flags.is_private.mask) != 0,
|
2023-09-27 05:17:20 +02:00
|
|
|
column("realm_id", Integer) == self.realm.id,
|
|
|
|
or_(
|
|
|
|
and_(
|
|
|
|
column("sender_id", Integer) == narrow_user_profile.id,
|
|
|
|
column("recipient_id", Integer) == self_recipient_id,
|
|
|
|
),
|
|
|
|
and_(
|
|
|
|
column("sender_id", Integer) == self.user_profile.id,
|
|
|
|
column("recipient_id", Integer) == narrow_user_profile.recipient_id,
|
|
|
|
),
|
|
|
|
and_(
|
|
|
|
column("recipient_id", Integer).in_(huddle_recipient_ids),
|
|
|
|
),
|
2023-04-05 17:46:43 +02:00
|
|
|
),
|
|
|
|
)
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
2022-09-09 02:20:21 +02:00
|
|
|
def by_group_pm_with(
|
|
|
|
self, query: Select, operand: Union[str, int], maybe_negate: ConditionTransform
|
|
|
|
) -> Select:
|
|
|
|
# This operator does not support is_web_public_query.
|
|
|
|
assert not self.is_web_public_query
|
|
|
|
assert self.user_profile is not None
|
|
|
|
|
2024-03-14 15:32:06 +01:00
|
|
|
self.check_not_both_channel_and_dm_narrow(is_dm_narrow=True)
|
2023-12-06 20:41:08 +01:00
|
|
|
|
2022-09-09 02:20:21 +02:00
|
|
|
try:
|
|
|
|
if isinstance(operand, str):
|
|
|
|
narrow_profile = get_user_including_cross_realm(operand, self.realm)
|
|
|
|
else:
|
|
|
|
narrow_profile = get_user_by_id_in_realm_including_cross_realm(operand, self.realm)
|
|
|
|
except UserProfile.DoesNotExist:
|
2022-11-17 09:30:48 +01:00
|
|
|
raise BadNarrowOperatorError("unknown user " + str(operand))
|
2022-09-09 02:20:21 +02:00
|
|
|
|
2023-04-05 14:46:41 +02:00
|
|
|
recipient_ids = self._get_huddle_recipients(narrow_profile)
|
2023-09-27 05:17:20 +02:00
|
|
|
cond = and_(
|
2023-09-27 06:02:24 +02:00
|
|
|
column("flags", Integer).op("&")(UserMessage.flags.is_private.mask) != 0,
|
2023-09-27 05:17:20 +02:00
|
|
|
column("realm_id", Integer) == self.realm.id,
|
|
|
|
column("recipient_id", Integer).in_(recipient_ids),
|
|
|
|
)
|
2022-09-09 02:20:21 +02:00
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
|
|
|
def by_search(self, query: Select, operand: str, maybe_negate: ConditionTransform) -> Select:
|
|
|
|
if settings.USING_PGROONGA:
|
|
|
|
return self._by_search_pgroonga(query, operand, maybe_negate)
|
|
|
|
else:
|
|
|
|
return self._by_search_tsearch(query, operand, maybe_negate)
|
|
|
|
|
|
|
|
def _by_search_pgroonga(
|
|
|
|
self, query: Select, operand: str, maybe_negate: ConditionTransform
|
|
|
|
) -> Select:
|
|
|
|
match_positions_character = func.pgroonga_match_positions_character
|
|
|
|
query_extract_keywords = func.pgroonga_query_extract_keywords
|
|
|
|
operand_escaped = func.escape_html(operand, type_=Text)
|
|
|
|
keywords = query_extract_keywords(operand_escaped)
|
|
|
|
query = query.add_columns(
|
|
|
|
match_positions_character(column("rendered_content", Text), keywords).label(
|
|
|
|
"content_matches"
|
|
|
|
),
|
|
|
|
match_positions_character(
|
|
|
|
func.escape_html(topic_column_sa(), type_=Text), keywords
|
|
|
|
).label("topic_matches"),
|
|
|
|
)
|
|
|
|
condition = column("search_pgroonga", Text).op("&@~")(operand_escaped)
|
|
|
|
return query.where(maybe_negate(condition))
|
|
|
|
|
|
|
|
def _by_search_tsearch(
|
|
|
|
self, query: Select, operand: str, maybe_negate: ConditionTransform
|
|
|
|
) -> Select:
|
|
|
|
tsquery = func.plainto_tsquery(literal("zulip.english_us_search"), literal(operand))
|
|
|
|
query = query.add_columns(
|
|
|
|
ts_locs_array(
|
|
|
|
literal("zulip.english_us_search", Text), column("rendered_content", Text), tsquery
|
|
|
|
).label("content_matches"),
|
|
|
|
# We HTML-escape the topic in PostgreSQL to avoid doing a server round-trip
|
|
|
|
ts_locs_array(
|
|
|
|
literal("zulip.english_us_search", Text),
|
|
|
|
func.escape_html(topic_column_sa(), type_=Text),
|
|
|
|
tsquery,
|
|
|
|
).label("topic_matches"),
|
|
|
|
)
|
|
|
|
|
|
|
|
# Do quoted string matching. We really want phrase
|
|
|
|
# search here so we can ignore punctuation and do
|
|
|
|
# stemming, but there isn't a standard phrase search
|
|
|
|
# mechanism in PostgreSQL
|
|
|
|
for term in re.findall(r'"[^"]+"|\S+', operand):
|
|
|
|
if term[0] == '"' and term[-1] == '"':
|
|
|
|
term = term[1:-1]
|
|
|
|
term = "%" + connection.ops.prep_for_like_query(term) + "%"
|
|
|
|
cond: ClauseElement = or_(
|
|
|
|
column("content", Text).ilike(term), topic_column_sa().ilike(term)
|
|
|
|
)
|
|
|
|
query = query.where(maybe_negate(cond))
|
|
|
|
|
|
|
|
cond = column("search_tsvector", postgresql.TSVECTOR).op("@@")(tsquery)
|
|
|
|
return query.where(maybe_negate(cond))
|
|
|
|
|
|
|
|
|
|
|
|
def narrow_parameter(var_name: str, json: str) -> OptionalNarrowListT:
|
|
|
|
data = orjson.loads(json)
|
|
|
|
if not isinstance(data, list):
|
|
|
|
raise ValueError("argument is not a list")
|
|
|
|
if len(data) == 0:
|
|
|
|
# The "empty narrow" should be None, and not []
|
|
|
|
return None
|
|
|
|
|
|
|
|
def convert_term(elem: Union[Dict[str, Any], List[str]]) -> Dict[str, Any]:
|
|
|
|
# We have to support a legacy tuple format.
|
|
|
|
if isinstance(elem, list):
|
|
|
|
if len(elem) != 2 or any(not isinstance(x, str) for x in elem):
|
|
|
|
raise ValueError("element is not a string pair")
|
|
|
|
return dict(operator=elem[0], operand=elem[1])
|
|
|
|
|
|
|
|
if isinstance(elem, dict):
|
2023-07-17 15:39:05 +02:00
|
|
|
# Make sure to sync this list to frontend also when adding a new operator that
|
|
|
|
# supports integer IDs. Relevant code is located in web/src/message_fetch.js
|
|
|
|
# in handle_operators_supporting_id_based_api function where you will need to
|
|
|
|
# update operators_supporting_id, or operators_supporting_ids array.
|
|
|
|
operators_supporting_id = [
|
2024-03-14 16:29:27 +01:00
|
|
|
*channel_operators,
|
2023-07-17 15:39:05 +02:00
|
|
|
"id",
|
|
|
|
"sender",
|
|
|
|
"group-pm-with",
|
|
|
|
"dm-including",
|
|
|
|
]
|
2023-04-03 17:52:19 +02:00
|
|
|
operators_supporting_ids = ["pm-with", "dm"]
|
2022-09-09 02:20:21 +02:00
|
|
|
operators_non_empty_operand = {"search"}
|
|
|
|
|
|
|
|
operator = elem.get("operator", "")
|
|
|
|
if operator in operators_supporting_id:
|
|
|
|
operand_validator: Validator[object] = check_string_or_int
|
|
|
|
elif operator in operators_supporting_ids:
|
|
|
|
operand_validator = check_string_or_int_list
|
|
|
|
elif operator in operators_non_empty_operand:
|
|
|
|
operand_validator = check_required_string
|
|
|
|
else:
|
|
|
|
operand_validator = check_string
|
|
|
|
|
|
|
|
validator = check_dict(
|
|
|
|
required_keys=[
|
|
|
|
("operator", check_string),
|
|
|
|
("operand", operand_validator),
|
|
|
|
],
|
|
|
|
optional_keys=[
|
|
|
|
("negated", check_bool),
|
|
|
|
],
|
|
|
|
)
|
|
|
|
|
|
|
|
try:
|
|
|
|
validator("elem", elem)
|
|
|
|
except ValidationError as error:
|
|
|
|
raise JsonableError(error.message)
|
|
|
|
|
|
|
|
# whitelist the fields we care about for now
|
|
|
|
return dict(
|
|
|
|
operator=elem["operator"],
|
|
|
|
operand=elem["operand"],
|
|
|
|
negated=elem.get("negated", False),
|
|
|
|
)
|
|
|
|
|
|
|
|
raise ValueError("element is not a dictionary")
|
|
|
|
|
|
|
|
return list(map(convert_term, data))
|
|
|
|
|
|
|
|
|
2022-10-19 04:14:36 +02:00
|
|
|
def ok_to_include_history(
|
|
|
|
narrow: OptionalNarrowListT, user_profile: Optional[UserProfile], is_web_public_query: bool
|
|
|
|
) -> bool:
|
|
|
|
# There are occasions where we need to find Message rows that
|
|
|
|
# have no corresponding UserMessage row, because the user is
|
2024-03-14 16:29:27 +01:00
|
|
|
# reading a public channel that might include messages that
|
2022-10-19 04:14:36 +02:00
|
|
|
# were sent while the user was not subscribed, but which they are
|
|
|
|
# allowed to see. We have to be very careful about constructing
|
|
|
|
# queries in those situations, so this function should return True
|
|
|
|
# only if we are 100% sure that we're gonna add a clause to the
|
2024-03-14 16:29:27 +01:00
|
|
|
# query that narrows to a particular public channel on the user's realm.
|
2022-10-19 04:14:36 +02:00
|
|
|
# If we screw this up, then we can get into a nasty situation of
|
|
|
|
# polluting our narrow results with messages from other realms.
|
|
|
|
|
|
|
|
# For web-public queries, we are always returning history. The
|
2024-03-14 16:29:27 +01:00
|
|
|
# analogues of the below channel access checks for whether channels
|
2022-10-19 04:14:36 +02:00
|
|
|
# have is_web_public set and banning is operators in this code
|
|
|
|
# path are done directly in NarrowBuilder.
|
|
|
|
if is_web_public_query:
|
|
|
|
assert user_profile is None
|
|
|
|
return True
|
|
|
|
|
|
|
|
assert user_profile is not None
|
|
|
|
|
|
|
|
include_history = False
|
|
|
|
if narrow is not None:
|
|
|
|
for term in narrow:
|
2024-03-14 16:29:27 +01:00
|
|
|
if term["operator"] in channel_operators and not term.get("negated", False):
|
2022-10-19 04:14:36 +02:00
|
|
|
operand: Union[str, int] = term["operand"]
|
|
|
|
if isinstance(operand, str):
|
|
|
|
include_history = can_access_stream_history_by_name(user_profile, operand)
|
|
|
|
else:
|
|
|
|
include_history = can_access_stream_history_by_id(user_profile, operand)
|
|
|
|
elif (
|
2024-03-14 19:53:40 +01:00
|
|
|
term["operator"] in channels_operators
|
2022-10-19 04:14:36 +02:00
|
|
|
and term["operand"] == "public"
|
|
|
|
and not term.get("negated", False)
|
|
|
|
and user_profile.can_access_public_streams()
|
|
|
|
):
|
|
|
|
include_history = True
|
|
|
|
# Disable historical messages if the user is narrowing on anything
|
|
|
|
# that's a property on the UserMessage table. There cannot be
|
|
|
|
# historical messages in these cases anyway.
|
|
|
|
for term in narrow:
|
|
|
|
if term["operator"] == "is":
|
|
|
|
include_history = False
|
|
|
|
|
|
|
|
return include_history
|
|
|
|
|
|
|
|
|
2024-03-14 16:29:27 +01:00
|
|
|
def get_channel_from_narrow_access_unchecked(
|
2022-09-09 02:20:21 +02:00
|
|
|
narrow: OptionalNarrowListT, realm: Realm
|
|
|
|
) -> Optional[Stream]:
|
|
|
|
if narrow is not None:
|
|
|
|
for term in narrow:
|
2024-03-14 16:29:27 +01:00
|
|
|
if term["operator"] in channel_operators:
|
2022-09-09 02:20:21 +02:00
|
|
|
return get_stream_by_narrow_operand_access_unchecked(term["operand"], realm)
|
|
|
|
return None
|
|
|
|
|
|
|
|
|
|
|
|
def exclude_muting_conditions(
|
|
|
|
user_profile: UserProfile, narrow: OptionalNarrowListT
|
|
|
|
) -> List[ClauseElement]:
|
|
|
|
conditions: List[ClauseElement] = []
|
2024-03-14 16:29:27 +01:00
|
|
|
channel_id = None
|
2022-09-09 02:20:21 +02:00
|
|
|
try:
|
2024-03-14 16:29:27 +01:00
|
|
|
# Note: It is okay here to not check access to channel
|
|
|
|
# because we are only using the channel ID to exclude data,
|
2022-09-09 02:20:21 +02:00
|
|
|
# not to include results.
|
2024-03-14 16:29:27 +01:00
|
|
|
channel = get_channel_from_narrow_access_unchecked(narrow, user_profile.realm)
|
|
|
|
if channel is not None:
|
|
|
|
channel_id = channel.id
|
2022-09-09 02:20:21 +02:00
|
|
|
except Stream.DoesNotExist:
|
|
|
|
pass
|
|
|
|
|
2024-03-14 16:29:27 +01:00
|
|
|
# Channel-level muting only applies when looking at views that
|
|
|
|
# include multiple channels, since we do want users to be able to
|
|
|
|
# browser messages within a muted channel.
|
|
|
|
if channel_id is None:
|
2022-09-09 02:20:21 +02:00
|
|
|
rows = Subscription.objects.filter(
|
|
|
|
user_profile=user_profile,
|
|
|
|
active=True,
|
|
|
|
is_muted=True,
|
|
|
|
recipient__type=Recipient.STREAM,
|
|
|
|
).values("recipient_id")
|
|
|
|
muted_recipient_ids = [row["recipient_id"] for row in rows]
|
|
|
|
if len(muted_recipient_ids) > 0:
|
2024-03-14 16:29:27 +01:00
|
|
|
# Only add the condition if we have muted channels to simplify/avoid warnings.
|
2022-09-09 02:20:21 +02:00
|
|
|
condition = not_(column("recipient_id", Integer).in_(muted_recipient_ids))
|
|
|
|
conditions.append(condition)
|
|
|
|
|
2024-03-14 16:29:27 +01:00
|
|
|
conditions = exclude_topic_mutes(conditions, user_profile, channel_id)
|
2022-09-09 02:20:21 +02:00
|
|
|
|
|
|
|
# Muted user logic for hiding messages is implemented entirely
|
|
|
|
# client-side. This is by design, as it allows UI to hint that
|
|
|
|
# muted messages exist where their absence might make conversation
|
|
|
|
# difficult to understand. As a result, we do not need to consider
|
|
|
|
# muted users in this server-side logic for returning messages to
|
2023-04-05 17:46:43 +02:00
|
|
|
# clients. (We could in theory exclude direct messages from muted
|
|
|
|
# users, but they're likely to be sufficiently rare to not be worth
|
|
|
|
# extra logic/testing here).
|
2022-09-09 02:20:21 +02:00
|
|
|
|
|
|
|
return conditions
|
|
|
|
|
|
|
|
|
|
|
|
def get_base_query_for_search(
|
2023-09-06 20:10:36 +02:00
|
|
|
realm_id: int, user_profile: Optional[UserProfile], need_message: bool, need_user_message: bool
|
2022-09-09 02:20:21 +02:00
|
|
|
) -> Tuple[Select, ColumnElement[Integer]]:
|
|
|
|
# Handle the simple case where user_message isn't involved first.
|
|
|
|
if not need_user_message:
|
|
|
|
assert need_message
|
2023-09-06 20:10:36 +02:00
|
|
|
query = (
|
|
|
|
select(column("id", Integer).label("message_id"))
|
|
|
|
.select_from(table("zerver_message"))
|
2023-09-21 21:52:56 +02:00
|
|
|
.where(column("realm_id", Integer) == literal(realm_id))
|
2022-09-09 02:20:21 +02:00
|
|
|
)
|
2023-09-06 20:10:36 +02:00
|
|
|
|
2022-09-09 02:20:21 +02:00
|
|
|
inner_msg_id_col = literal_column("zerver_message.id", Integer)
|
|
|
|
return (query, inner_msg_id_col)
|
|
|
|
|
|
|
|
assert user_profile is not None
|
|
|
|
if need_message:
|
|
|
|
query = (
|
|
|
|
select(column("message_id", Integer), column("flags", Integer))
|
2023-09-21 21:52:56 +02:00
|
|
|
# We don't limit by realm_id despite the join to
|
|
|
|
# zerver_messages, since the user_profile_id limit in
|
|
|
|
# usermessage is more selective, and the query planner
|
|
|
|
# can't know about that cross-table correlation.
|
2023-12-05 18:45:07 +01:00
|
|
|
.where(column("user_profile_id", Integer) == literal(user_profile.id))
|
|
|
|
.select_from(
|
2022-09-09 02:20:21 +02:00
|
|
|
join(
|
|
|
|
table("zerver_usermessage"),
|
|
|
|
table("zerver_message"),
|
|
|
|
literal_column("zerver_usermessage.message_id", Integer)
|
|
|
|
== literal_column("zerver_message.id", Integer),
|
|
|
|
)
|
|
|
|
)
|
|
|
|
)
|
|
|
|
inner_msg_id_col = column("message_id", Integer)
|
|
|
|
return (query, inner_msg_id_col)
|
|
|
|
|
|
|
|
query = (
|
|
|
|
select(column("message_id", Integer), column("flags", Integer))
|
|
|
|
.where(column("user_profile_id", Integer) == literal(user_profile.id))
|
|
|
|
.select_from(table("zerver_usermessage"))
|
|
|
|
)
|
|
|
|
inner_msg_id_col = column("message_id", Integer)
|
|
|
|
return (query, inner_msg_id_col)
|
|
|
|
|
|
|
|
|
|
|
|
def add_narrow_conditions(
|
|
|
|
user_profile: Optional[UserProfile],
|
|
|
|
inner_msg_id_col: ColumnElement[Integer],
|
|
|
|
query: Select,
|
|
|
|
narrow: OptionalNarrowListT,
|
|
|
|
is_web_public_query: bool,
|
|
|
|
realm: Realm,
|
|
|
|
) -> Tuple[Select, bool]:
|
|
|
|
is_search = False # for now
|
|
|
|
|
|
|
|
if narrow is None:
|
|
|
|
return (query, is_search)
|
|
|
|
|
|
|
|
# Build the query for the narrow
|
|
|
|
builder = NarrowBuilder(user_profile, inner_msg_id_col, realm, is_web_public_query)
|
|
|
|
search_operands = []
|
|
|
|
|
|
|
|
# As we loop through terms, builder does most of the work to extend
|
|
|
|
# our query, but we need to collect the search operands and handle
|
|
|
|
# them after the loop.
|
|
|
|
for term in narrow:
|
|
|
|
if term["operator"] == "search":
|
|
|
|
search_operands.append(term["operand"])
|
|
|
|
else:
|
|
|
|
query = builder.add_term(query, term)
|
|
|
|
|
|
|
|
if search_operands:
|
|
|
|
is_search = True
|
2023-08-16 02:51:03 +02:00
|
|
|
query = query.add_columns(topic_column_sa(), column("rendered_content", Text))
|
2022-09-09 02:20:21 +02:00
|
|
|
search_term = dict(
|
|
|
|
operator="search",
|
|
|
|
operand=" ".join(search_operands),
|
|
|
|
)
|
|
|
|
query = builder.add_term(query, search_term)
|
|
|
|
|
|
|
|
return (query, is_search)
|
2022-10-19 04:19:19 +02:00
|
|
|
|
|
|
|
|
|
|
|
def find_first_unread_anchor(
|
|
|
|
sa_conn: Connection, user_profile: Optional[UserProfile], narrow: OptionalNarrowListT
|
|
|
|
) -> int:
|
|
|
|
# For anonymous web users, all messages are treated as read, and so
|
|
|
|
# always return LARGER_THAN_MAX_MESSAGE_ID.
|
|
|
|
if user_profile is None:
|
|
|
|
return LARGER_THAN_MAX_MESSAGE_ID
|
|
|
|
|
|
|
|
# We always need UserMessage in our query, because it has the unread
|
|
|
|
# flag for the user.
|
|
|
|
need_user_message = True
|
|
|
|
|
|
|
|
# Because we will need to call exclude_muting_conditions, unless
|
|
|
|
# the user hasn't muted anything, we will need to include Message
|
|
|
|
# in our query. It may be worth eventually adding an optimization
|
|
|
|
# for the case of a user who hasn't muted anything to avoid the
|
|
|
|
# join in that case, but it's low priority.
|
|
|
|
need_message = True
|
|
|
|
|
|
|
|
query, inner_msg_id_col = get_base_query_for_search(
|
2023-09-06 20:10:36 +02:00
|
|
|
realm_id=user_profile.realm_id,
|
2022-10-19 04:19:19 +02:00
|
|
|
user_profile=user_profile,
|
|
|
|
need_message=need_message,
|
|
|
|
need_user_message=need_user_message,
|
|
|
|
)
|
|
|
|
|
|
|
|
query, is_search = add_narrow_conditions(
|
|
|
|
user_profile=user_profile,
|
|
|
|
inner_msg_id_col=inner_msg_id_col,
|
|
|
|
query=query,
|
|
|
|
narrow=narrow,
|
|
|
|
is_web_public_query=False,
|
|
|
|
realm=user_profile.realm,
|
|
|
|
)
|
|
|
|
|
|
|
|
condition = column("flags", Integer).op("&")(UserMessage.flags.read.mask) == 0
|
|
|
|
|
|
|
|
# We exclude messages on muted topics when finding the first unread
|
|
|
|
# message in this narrow
|
|
|
|
muting_conditions = exclude_muting_conditions(user_profile, narrow)
|
|
|
|
if muting_conditions:
|
|
|
|
condition = and_(condition, *muting_conditions)
|
|
|
|
|
|
|
|
first_unread_query = query.where(condition)
|
|
|
|
first_unread_query = first_unread_query.order_by(inner_msg_id_col.asc()).limit(1)
|
|
|
|
first_unread_result = list(sa_conn.execute(first_unread_query).fetchall())
|
|
|
|
if len(first_unread_result) > 0:
|
|
|
|
anchor = first_unread_result[0][0]
|
|
|
|
else:
|
|
|
|
anchor = LARGER_THAN_MAX_MESSAGE_ID
|
|
|
|
|
|
|
|
return anchor
|
|
|
|
|
|
|
|
|
|
|
|
def parse_anchor_value(anchor_val: Optional[str], use_first_unread_anchor: bool) -> Optional[int]:
|
|
|
|
"""Given the anchor and use_first_unread_anchor parameters passed by
|
|
|
|
the client, computes what anchor value the client requested,
|
|
|
|
handling backwards-compatibility and the various string-valued
|
|
|
|
fields. We encode use_first_unread_anchor as anchor=None.
|
|
|
|
"""
|
|
|
|
if use_first_unread_anchor:
|
|
|
|
# Backwards-compatibility: Before we added support for the
|
|
|
|
# special string-typed anchor values, clients would pass
|
|
|
|
# anchor=None and use_first_unread_anchor=True to indicate
|
|
|
|
# what is now expressed as anchor="first_unread".
|
|
|
|
return None
|
|
|
|
if anchor_val is None:
|
|
|
|
# Throw an exception if neither an anchor argument not
|
|
|
|
# use_first_unread_anchor was specified.
|
|
|
|
raise JsonableError(_("Missing 'anchor' argument."))
|
|
|
|
if anchor_val == "oldest":
|
|
|
|
return 0
|
|
|
|
if anchor_val == "newest":
|
|
|
|
return LARGER_THAN_MAX_MESSAGE_ID
|
|
|
|
if anchor_val == "first_unread":
|
|
|
|
return None
|
|
|
|
try:
|
|
|
|
# We don't use `.isnumeric()` to support negative numbers for
|
|
|
|
# anchor. We don't recommend it in the API (if you want the
|
|
|
|
# very first message, use 0 or 1), but it used to be supported
|
|
|
|
# and was used by the web app, so we need to continue
|
|
|
|
# supporting it for backwards-compatibility
|
|
|
|
anchor = int(anchor_val)
|
|
|
|
if anchor < 0:
|
|
|
|
return 0
|
|
|
|
elif anchor > LARGER_THAN_MAX_MESSAGE_ID:
|
|
|
|
return LARGER_THAN_MAX_MESSAGE_ID
|
|
|
|
return anchor
|
|
|
|
except ValueError:
|
|
|
|
raise JsonableError(_("Invalid anchor"))
|
2022-10-21 19:29:15 +02:00
|
|
|
|
|
|
|
|
|
|
|
def limit_query_to_range(
|
|
|
|
query: Select,
|
|
|
|
num_before: int,
|
|
|
|
num_after: int,
|
|
|
|
anchor: int,
|
2022-11-11 03:32:09 +01:00
|
|
|
include_anchor: bool,
|
2022-10-21 19:29:15 +02:00
|
|
|
anchored_to_left: bool,
|
|
|
|
anchored_to_right: bool,
|
|
|
|
id_col: ColumnElement[Integer],
|
|
|
|
first_visible_message_id: int,
|
|
|
|
) -> SelectBase:
|
|
|
|
"""
|
|
|
|
This code is actually generic enough that we could move it to a
|
|
|
|
library, but our only caller for now is message search.
|
|
|
|
"""
|
|
|
|
need_before_query = (not anchored_to_left) and (num_before > 0)
|
|
|
|
need_after_query = (not anchored_to_right) and (num_after > 0)
|
|
|
|
|
|
|
|
need_both_sides = need_before_query and need_after_query
|
|
|
|
|
|
|
|
# The semantics of our flags are as follows:
|
|
|
|
#
|
2022-11-11 03:32:09 +01:00
|
|
|
# num_before = number of rows < anchor
|
2022-10-21 19:29:15 +02:00
|
|
|
# num_after = number of rows > anchor
|
|
|
|
#
|
2022-11-11 03:32:09 +01:00
|
|
|
# But we may also want the row where id == anchor (if it exists),
|
2022-10-21 19:29:15 +02:00
|
|
|
# and we don't want to union up to 3 queries. So in some cases
|
|
|
|
# we do things like `after_limit = num_after + 1` to grab the
|
|
|
|
# anchor row in the "after" query.
|
|
|
|
#
|
|
|
|
# Note that in some cases, if the anchor row isn't found, we
|
|
|
|
# actually may fetch an extra row at one of the extremes.
|
|
|
|
if need_both_sides:
|
|
|
|
before_anchor = anchor - 1
|
|
|
|
after_anchor = max(anchor, first_visible_message_id)
|
|
|
|
before_limit = num_before
|
|
|
|
after_limit = num_after + 1
|
|
|
|
elif need_before_query:
|
2022-11-11 03:32:09 +01:00
|
|
|
before_anchor = anchor - (not include_anchor)
|
2022-10-21 19:29:15 +02:00
|
|
|
before_limit = num_before
|
|
|
|
if not anchored_to_right:
|
2022-11-11 03:32:09 +01:00
|
|
|
before_limit += include_anchor
|
2022-10-21 19:29:15 +02:00
|
|
|
elif need_after_query:
|
2022-11-11 03:32:09 +01:00
|
|
|
after_anchor = max(anchor + (not include_anchor), first_visible_message_id)
|
|
|
|
after_limit = num_after + include_anchor
|
2022-10-21 19:29:15 +02:00
|
|
|
|
|
|
|
if need_before_query:
|
|
|
|
before_query = query
|
|
|
|
|
|
|
|
if not anchored_to_right:
|
|
|
|
before_query = before_query.where(id_col <= before_anchor)
|
|
|
|
|
|
|
|
before_query = before_query.order_by(id_col.desc())
|
|
|
|
before_query = before_query.limit(before_limit)
|
|
|
|
|
|
|
|
if need_after_query:
|
|
|
|
after_query = query
|
|
|
|
|
|
|
|
if not anchored_to_left:
|
|
|
|
after_query = after_query.where(id_col >= after_anchor)
|
|
|
|
|
|
|
|
after_query = after_query.order_by(id_col.asc())
|
|
|
|
after_query = after_query.limit(after_limit)
|
|
|
|
|
|
|
|
if need_both_sides:
|
|
|
|
return union_all(before_query.self_group(), after_query.self_group())
|
|
|
|
elif need_before_query:
|
|
|
|
return before_query
|
|
|
|
elif need_after_query:
|
|
|
|
return after_query
|
|
|
|
else:
|
|
|
|
# If we don't have either a before_query or after_query, it's because
|
|
|
|
# some combination of num_before/num_after/anchor are zero or
|
|
|
|
# use_first_unread_anchor logic found no unread messages.
|
|
|
|
#
|
|
|
|
# The most likely reason is somebody is doing an id search, so searching
|
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|
|
# for something like `message_id = 42` is exactly what we want. In other
|
|
|
|
# cases, which could possibly be buggy API clients, at least we will
|
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|
# return at most one row here.
|
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|
|
return query.where(id_col == anchor)
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2022-11-10 00:52:13 +01:00
|
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|
MessageRowT = TypeVar("MessageRowT", bound=Sequence[Any])
|
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|
@dataclass
|
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|
class LimitedMessages(Generic[MessageRowT]):
|
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|
rows: List[MessageRowT]
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|
found_anchor: bool
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|
found_newest: bool
|
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|
|
found_oldest: bool
|
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|
|
history_limited: bool
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|
|
|
2022-10-21 19:29:15 +02:00
|
|
|
def post_process_limited_query(
|
2022-11-10 00:52:13 +01:00
|
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|
rows: Sequence[MessageRowT],
|
2022-10-21 19:29:15 +02:00
|
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|
num_before: int,
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|
|
num_after: int,
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|
|
anchor: int,
|
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|
|
anchored_to_left: bool,
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|
|
|
anchored_to_right: bool,
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|
|
first_visible_message_id: int,
|
2022-11-10 00:52:13 +01:00
|
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|
) -> LimitedMessages[MessageRowT]:
|
2022-10-21 19:29:15 +02:00
|
|
|
# Our queries may have fetched extra rows if they added
|
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|
|
# "headroom" to the limits, but we want to truncate those
|
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|
|
# rows.
|
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|
|
#
|
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|
|
# Also, in cases where we had non-zero values of num_before or
|
|
|
|
# num_after, we want to know found_oldest and found_newest, so
|
|
|
|
# that the clients will know that they got complete results.
|
|
|
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|
|
|
if first_visible_message_id > 0:
|
2022-11-10 00:52:13 +01:00
|
|
|
visible_rows: Sequence[MessageRowT] = [r for r in rows if r[0] >= first_visible_message_id]
|
2022-10-21 19:29:15 +02:00
|
|
|
else:
|
|
|
|
visible_rows = rows
|
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|
|
|
|
|
|
rows_limited = len(visible_rows) != len(rows)
|
|
|
|
|
|
|
|
if anchored_to_right:
|
|
|
|
num_after = 0
|
|
|
|
before_rows = visible_rows[:]
|
|
|
|
anchor_rows = []
|
|
|
|
after_rows = []
|
|
|
|
else:
|
|
|
|
before_rows = [r for r in visible_rows if r[0] < anchor]
|
|
|
|
anchor_rows = [r for r in visible_rows if r[0] == anchor]
|
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|
|
after_rows = [r for r in visible_rows if r[0] > anchor]
|
|
|
|
|
|
|
|
if num_before:
|
|
|
|
before_rows = before_rows[-1 * num_before :]
|
|
|
|
|
|
|
|
if num_after:
|
|
|
|
after_rows = after_rows[:num_after]
|
|
|
|
|
2022-11-10 00:52:13 +01:00
|
|
|
limited_rows = [*before_rows, *anchor_rows, *after_rows]
|
2022-10-21 19:29:15 +02:00
|
|
|
|
|
|
|
found_anchor = len(anchor_rows) == 1
|
|
|
|
found_oldest = anchored_to_left or (len(before_rows) < num_before)
|
|
|
|
found_newest = anchored_to_right or (len(after_rows) < num_after)
|
|
|
|
# BUG: history_limited is incorrect False in the event that we had
|
|
|
|
# to bump `anchor` up due to first_visible_message_id, and there
|
|
|
|
# were actually older messages. This may be a rare event in the
|
|
|
|
# context where history_limited is relevant, because it can only
|
|
|
|
# happen in one-sided queries with no num_before (see tests tagged
|
|
|
|
# BUG in PostProcessTest for examples), and we don't generally do
|
|
|
|
# those from the UI, so this might be OK for now.
|
|
|
|
#
|
|
|
|
# The correct fix for this probably involves e.g. making a
|
|
|
|
# `before_query` when we increase `anchor` just to confirm whether
|
|
|
|
# messages were hidden.
|
|
|
|
history_limited = rows_limited and found_oldest
|
|
|
|
|
2022-11-10 00:52:13 +01:00
|
|
|
return LimitedMessages(
|
|
|
|
rows=limited_rows,
|
2022-10-21 19:29:15 +02:00
|
|
|
found_anchor=found_anchor,
|
|
|
|
found_newest=found_newest,
|
|
|
|
found_oldest=found_oldest,
|
|
|
|
history_limited=history_limited,
|
|
|
|
)
|
2022-11-10 00:35:52 +01:00
|
|
|
|
|
|
|
|
|
|
|
@dataclass
|
|
|
|
class FetchedMessages(LimitedMessages[Row]):
|
|
|
|
anchor: int
|
|
|
|
include_history: bool
|
|
|
|
is_search: bool
|
|
|
|
|
|
|
|
|
|
|
|
def fetch_messages(
|
|
|
|
*,
|
|
|
|
narrow: OptionalNarrowListT,
|
|
|
|
user_profile: Optional[UserProfile],
|
|
|
|
realm: Realm,
|
|
|
|
is_web_public_query: bool,
|
|
|
|
anchor: Optional[int],
|
2022-11-11 03:32:09 +01:00
|
|
|
include_anchor: bool,
|
2022-11-10 00:35:52 +01:00
|
|
|
num_before: int,
|
|
|
|
num_after: int,
|
|
|
|
) -> FetchedMessages:
|
|
|
|
include_history = ok_to_include_history(narrow, user_profile, is_web_public_query)
|
|
|
|
if include_history:
|
|
|
|
# The initial query in this case doesn't use `zerver_usermessage`,
|
|
|
|
# and isn't yet limited to messages the user is entitled to see!
|
|
|
|
#
|
|
|
|
# This is OK only because we've made sure this is a narrow that
|
|
|
|
# will cause us to limit the query appropriately elsewhere.
|
|
|
|
# See `ok_to_include_history` for details.
|
|
|
|
#
|
|
|
|
# Note that is_web_public_query=True goes here, since
|
|
|
|
# include_history is semantically correct for is_web_public_query.
|
|
|
|
need_message = True
|
|
|
|
need_user_message = False
|
|
|
|
elif narrow is None:
|
|
|
|
# We need to limit to messages the user has received, but we don't actually
|
|
|
|
# need any fields from Message
|
|
|
|
need_message = False
|
|
|
|
need_user_message = True
|
|
|
|
else:
|
|
|
|
need_message = True
|
|
|
|
need_user_message = True
|
|
|
|
|
|
|
|
query: SelectBase
|
|
|
|
query, inner_msg_id_col = get_base_query_for_search(
|
2023-09-06 20:10:36 +02:00
|
|
|
realm_id=realm.id,
|
2022-11-10 00:35:52 +01:00
|
|
|
user_profile=user_profile,
|
|
|
|
need_message=need_message,
|
|
|
|
need_user_message=need_user_message,
|
|
|
|
)
|
|
|
|
|
|
|
|
query, is_search = add_narrow_conditions(
|
|
|
|
user_profile=user_profile,
|
|
|
|
inner_msg_id_col=inner_msg_id_col,
|
|
|
|
query=query,
|
|
|
|
narrow=narrow,
|
|
|
|
realm=realm,
|
|
|
|
is_web_public_query=is_web_public_query,
|
|
|
|
)
|
|
|
|
|
|
|
|
with get_sqlalchemy_connection() as sa_conn:
|
|
|
|
if anchor is None:
|
|
|
|
# `anchor=None` corresponds to the anchor="first_unread" parameter.
|
|
|
|
anchor = find_first_unread_anchor(
|
|
|
|
sa_conn,
|
|
|
|
user_profile,
|
|
|
|
narrow,
|
|
|
|
)
|
|
|
|
|
|
|
|
anchored_to_left = anchor == 0
|
|
|
|
|
|
|
|
# Set value that will be used to short circuit the after_query
|
|
|
|
# altogether and avoid needless conditions in the before_query.
|
|
|
|
anchored_to_right = anchor >= LARGER_THAN_MAX_MESSAGE_ID
|
|
|
|
if anchored_to_right:
|
|
|
|
num_after = 0
|
|
|
|
|
|
|
|
first_visible_message_id = get_first_visible_message_id(realm)
|
|
|
|
|
|
|
|
query = limit_query_to_range(
|
|
|
|
query=query,
|
|
|
|
num_before=num_before,
|
|
|
|
num_after=num_after,
|
|
|
|
anchor=anchor,
|
2022-11-11 03:32:09 +01:00
|
|
|
include_anchor=include_anchor,
|
2022-11-10 00:35:52 +01:00
|
|
|
anchored_to_left=anchored_to_left,
|
|
|
|
anchored_to_right=anchored_to_right,
|
|
|
|
id_col=inner_msg_id_col,
|
|
|
|
first_visible_message_id=first_visible_message_id,
|
|
|
|
)
|
|
|
|
|
|
|
|
main_query = query.subquery()
|
|
|
|
query = (
|
|
|
|
select(*main_query.c)
|
|
|
|
.select_from(main_query)
|
|
|
|
.order_by(column("message_id", Integer).asc())
|
|
|
|
)
|
|
|
|
# This is a hack to tag the query we use for testing
|
|
|
|
query = query.prefix_with("/* get_messages */")
|
|
|
|
rows = list(sa_conn.execute(query).fetchall())
|
|
|
|
|
|
|
|
query_info = post_process_limited_query(
|
|
|
|
rows=rows,
|
|
|
|
num_before=num_before,
|
|
|
|
num_after=num_after,
|
|
|
|
anchor=anchor,
|
|
|
|
anchored_to_left=anchored_to_left,
|
|
|
|
anchored_to_right=anchored_to_right,
|
|
|
|
first_visible_message_id=first_visible_message_id,
|
|
|
|
)
|
|
|
|
|
|
|
|
return FetchedMessages(
|
|
|
|
rows=query_info.rows,
|
|
|
|
found_anchor=query_info.found_anchor,
|
|
|
|
found_newest=query_info.found_newest,
|
|
|
|
found_oldest=query_info.found_oldest,
|
|
|
|
history_limited=query_info.history_limited,
|
|
|
|
anchor=anchor,
|
|
|
|
include_history=include_history,
|
|
|
|
is_search=is_search,
|
|
|
|
)
|