165 lines
6.1 KiB
Python
165 lines
6.1 KiB
Python
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from dataclasses import dataclass
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from datetime import datetime, timedelta
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from typing import (
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TYPE_CHECKING,
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Any,
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Awaitable,
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Callable,
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Iterable,
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Literal,
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Mapping,
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Protocol,
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Type,
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TypeVar,
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Union,
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)
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if TYPE_CHECKING:
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from redis._parsers import Encoder
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from redis.event import EventDispatcherInterface
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class AsyncClientProtocol(Protocol):
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"""Protocol for asynchronous Redis clients (redis.asyncio.client.Redis).
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This protocol uses a Literal marker to identify async clients.
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Used in @overload to provide correct return types for async clients.
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"""
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_is_async_client: Literal[True]
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class SyncClientProtocol(Protocol):
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"""Protocol for synchronous Redis clients (redis.client.Redis).
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This protocol uses a Literal marker to identify sync clients.
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Used in @overload to provide correct return types for sync clients.
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"""
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_is_async_client: Literal[False]
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Number = Union[int, float]
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EncodedT = Union[bytes, bytearray, memoryview]
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DecodedT = Union[str, int, float]
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EncodableT = Union[EncodedT, DecodedT]
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AbsExpiryT = Union[int, datetime]
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ExpiryT = Union[int, timedelta]
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ZScoreBoundT = Union[float, str] # str allows for the [ or ( prefix
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BitfieldOffsetT = Union[int, str] # str allows for #x syntax
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_StringLikeT = Union[bytes, str, memoryview]
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KeyT = _StringLikeT # Main redis key space
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PatternT = _StringLikeT # Patterns matched against keys, fields etc
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FieldT = EncodableT # Fields within hash tables, streams and geo commands
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KeysT = Union[KeyT, Iterable[KeyT]]
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ResponseT = Union[Awaitable[Any], Any]
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GroupT = _StringLikeT # Consumer group
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ConsumerT = _StringLikeT # Consumer name
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StreamIdT = Union[int, _StringLikeT]
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ScriptTextT = _StringLikeT
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TimeoutSecT = Union[int, float, _StringLikeT]
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ACLGetUserData = (
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dict[str, bool | list[str] | list[list[str]] | list[dict[str, str]]] | None
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)
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ACLLogEntry = dict[str, str | float | dict[str, str | int]]
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ACLLogData = list[ACLLogEntry]
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CommandGetKeysAndFlagsEntry = list[bytes | str | list[bytes | str]]
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CommandGetKeysAndFlagsResponse = list[CommandGetKeysAndFlagsEntry]
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ClientTrackingInfoResponse = list[bytes | str] | dict[str, Any]
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BlockingListPopResponse = tuple[bytes | str, bytes | str] | list[bytes | str] | None
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HRandFieldResponse = bytes | str | list[bytes | str] | list[list[bytes | str]] | None
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HScanPayload = dict[bytes | str, bytes | str] | list[bytes | str]
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HScanResponse = tuple[int, HScanPayload]
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ListMultiPopResponse = list[bytes | str | list[bytes | str]] | None
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ScanResponse = tuple[int, list[bytes | str]]
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SortResponse = list[bytes | str] | list[tuple[bytes | str, ...]] | int
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GeoCoordinate = tuple[float, float] | list[float]
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GeoSearchItem = bytes | str | list[bytes | str | float | int | GeoCoordinate]
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GeoSearchResponse = list[GeoSearchItem]
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GeoRadiusResponse = GeoSearchResponse | int
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StreamEntry = tuple[bytes | str | None, dict[bytes | str, bytes | str] | None]
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StreamRangeResponse = list[StreamEntry]
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XClaimResponse = StreamRangeResponse | list[bytes | str]
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XPendingRangeEntry = dict[str, bytes | str | int]
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XPendingRangeResponse = list[XPendingRangeEntry]
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XReadGroupClaimEntry = tuple[
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bytes | str,
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dict[bytes | str, bytes | str],
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bytes | str | int,
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bytes | str | int,
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]
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XReadGroupStreamResponse = StreamRangeResponse | list[XReadGroupClaimEntry]
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XReadResponse = (
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list[list[Any]]
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| dict[bytes | str, list[StreamRangeResponse]]
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| dict[bytes | str, StreamRangeResponse]
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)
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XReadGroupResponse = (
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list[list[Any]]
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| dict[bytes | str, list[XReadGroupStreamResponse]]
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| dict[bytes | str, XReadGroupStreamResponse]
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)
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ClusterNodeDetail = dict[str, str | bool | list[list[str]] | list[dict[str, str]]]
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ClusterLink = dict[str, Any] | list[Any]
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ClusterLinksResponse = list[ClusterLink]
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ClusterShard = dict[str, Any]
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ClusterShardsResponse = list[ClusterShard]
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SentinelMasterAddress = tuple[bytes | str, int] | None
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SentinelMastersResponse = dict[str, dict[str, Any]] | list[dict[str, Any]]
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TimeSeriesSample = tuple[int, float] | list[int | float]
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TimeSeriesRangeResponse = list[TimeSeriesSample]
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TimeSeriesMRangeSeries = list[Any]
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TimeSeriesMRangeResponse = list[Any] | dict[bytes | str, TimeSeriesMRangeSeries]
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BloomScanDumpResponse = tuple[int, bytes | None]
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ModuleListResponse = list[bytes | int | float | str | None]
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BlockingZSetPopResponse = (
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tuple[bytes | str, bytes | str, float] | list[bytes | str | float] | None
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)
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ZMPopResponse = list[bytes | str | list[list[Any]]] | None
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ZRandMemberResponse = (
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bytes | str | None | list[bytes | str] | list[bytes | str | float] | list[list[Any]]
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)
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ZSetScoredMembers = list[tuple[bytes | str, Any]] | list[list[Any]]
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ZSetRangeResponse = list[bytes | str] | ZSetScoredMembers
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ZScanPair = tuple[bytes | str, float] | list[bytes | str | float]
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ZScanResponse = tuple[int, list[ZScanPair]]
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LCSRange = tuple[int, int] | list[int]
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LCSMatch = list[int | LCSRange]
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LCSResult = dict[str, int | list[LCSMatch]]
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LCSIndexResponse = list[Any] | dict[bytes | str, Any]
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LCSCommandResponse = bytes | str | int | LCSIndexResponse
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StralgoResponse = str | int | LCSResult
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# Mapping is not covariant in the key type, which prevents
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# Mapping[_StringLikeT, X] from accepting arguments of type Dict[str, X]. Using
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# a TypeVar instead of a Union allows mappings with any of the permitted types
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# to be passed. Care is needed if there is more than one such mapping in a
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# type signature because they will all be required to be the same key type.
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AnyKeyT = TypeVar("AnyKeyT", bytes, str, memoryview)
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AnyFieldT = TypeVar("AnyFieldT", bytes, str, memoryview)
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ExceptionMappingT = Mapping[str, Union[Type[Exception], Mapping[str, Type[Exception]]]]
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ChannelT = _StringLikeT
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AnyChannelT = TypeVar("AnyChannelT", bytes, str, memoryview)
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PubSubHandler = Callable[[dict[str, Any]], Any]
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@dataclass(frozen=True)
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class Subscription:
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"""PubSub channel or pattern subscription with an optional handler."""
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name: ChannelT
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handler: PubSubHandler | None = None
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class CommandsProtocol(Protocol):
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_event_dispatcher: "EventDispatcherInterface"
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def execute_command(self, *args, **options) -> ResponseT: ...
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class ClusterCommandsProtocol(CommandsProtocol):
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encoder: "Encoder"
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