mirror of
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45 lines
1.0 KiB
Python
45 lines
1.0 KiB
Python
from __future__ import annotations
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import abc
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import typing
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from ..core import app
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from . import entities
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import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
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preregistered_stages: dict[str, type[PipelineStage]] = {}
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def stage_class(name: str) -> typing.Callable[[type[PipelineStage]], type[PipelineStage]]:
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def decorator(cls: type[PipelineStage]) -> type[PipelineStage]:
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preregistered_stages[name] = cls
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return cls
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return decorator
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class PipelineStage(metaclass=abc.ABCMeta):
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"""流水线阶段"""
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ap: app.Application
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def __init__(self, ap: app.Application):
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self.ap = ap
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async def initialize(self, pipeline_config: dict):
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"""初始化"""
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pass
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@abc.abstractmethod
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async def process(
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self,
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query: pipeline_query.Query,
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stage_inst_name: str,
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) -> typing.Union[
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entities.StageProcessResult,
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typing.AsyncGenerator[entities.StageProcessResult, None],
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]:
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"""处理"""
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raise NotImplementedError
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