mirror of
https://github.com/langchain-ai/langgraph.git
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58 lines
1.5 KiB
Python
58 lines
1.5 KiB
Python
import asyncio
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from abc import ABC, abstractmethod
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from typing import Any, Callable, Iterator, TypedDict
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PubSubListener = Callable[[Any], None]
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class LogMessage(TypedDict):
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message: Any
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topic_name: str
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started_at: str
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class PubSubConnection(ABC):
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def full_topic_name(self, prefix: str, topic_name: str) -> str:
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return f"{prefix}:{topic_name}"
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@abstractmethod
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def iterate(self, prefix: str, topic_name: str) -> Iterator[Any]:
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...
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# TODO add aiterate() method
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@abstractmethod
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def listen(
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self, prefix: str, topic_name: str, listeners: list[PubSubListener]
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) -> None:
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...
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async def alisten(
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self, prefix: str, topic_name: str, listeners: list[PubSubListener]
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) -> None:
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return await asyncio.get_event_loop().run_in_executor(
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None, self.listen, prefix, topic_name, listeners
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)
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@abstractmethod
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def send(self, prefix: str, topic_name: str, message: Any) -> None:
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...
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async def asend(self, prefix: str, topic_name: str, message: Any) -> None:
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return await asyncio.get_event_loop().run_in_executor(
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None, self.send, prefix, topic_name, message
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)
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@abstractmethod
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def disconnect(self, prefix: str) -> None:
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...
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async def adisconnect(self, prefix: str) -> None:
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return await asyncio.get_event_loop().run_in_executor(
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None, self.disconnect, prefix
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)
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@abstractmethod
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def peek(self, prefix: str) -> Iterator[LogMessage]:
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...
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