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Upload operator.py with huggingface_hub

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  1. operator.py +255 -0
operator.py ADDED
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+ from .stream import MultiStream, Stream
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+ from .artifact import Artifact
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+
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+ from abc import abstractmethod
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+ from typing import Optional, List, Dict, Generator, Union, Any
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+ from dataclasses import field
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+
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+
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+ class Operator(Artifact):
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+ pass
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+
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+
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+ class OperatorError(Exception):
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+ def __init__(self, exception: Exception, operators: List[Operator]):
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+ super().__init__(
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+ "This error was raised by the following operators: "
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+ + ",\n".join([str(operator) for operator in operators])
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+ + "."
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+ )
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+ self.exception = exception
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+ self.operators = operators
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+
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+ @classmethod
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+ def from_operator_error(cls, exception: Exception, operator: Operator):
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+ return cls(exception.exception, [*exception.operators, operator])
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+
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+ @classmethod
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+ def from_exception(cls, exception: Exception, operator: Operator):
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+ return cls(exception, [operator])
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+
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+
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+ class StreamingOperator(Artifact):
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+ @abstractmethod
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+ def __call__(self, streams: Optional[MultiStream] = None) -> MultiStream:
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+ pass
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+
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+
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+ class StreamSource(StreamingOperator):
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+ @abstractmethod
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+ def __call__(self) -> MultiStream:
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+ pass
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+
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+
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+ class SourceOperator(StreamSource):
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+ def __call__(self) -> MultiStream:
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+ return self.process()
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+
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+ @abstractmethod
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+ def process(self) -> MultiStream:
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+ pass
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+
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+
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+ class StreamInitializerOperator(StreamSource):
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+ def __call__(self, *args, **kwargs) -> MultiStream:
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+ return self.process(*args, **kwargs)
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+
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+ @abstractmethod
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+ def process(self, *args, **kwargs) -> MultiStream:
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+ pass
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+
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+
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+ class MultiStreamOperator(StreamingOperator):
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+ def __call__(self, multi_stream: Optional[MultiStream] = None) -> MultiStream:
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+ return self._process_multi_stream(multi_stream)
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+
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+ def _process_multi_stream(self, multi_stream: Optional[MultiStream] = None) -> MultiStream:
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+ result = self.process(multi_stream)
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+ assert isinstance(result, MultiStream), "MultiStreamOperator must return a MultiStream"
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+ return result
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+
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+ @abstractmethod
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+ def process(self, multi_stream: MultiStream) -> MultiStream:
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+ pass
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+
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+
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+ class SingleStreamOperator(MultiStreamOperator):
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+ def _process_multi_stream(self, multi_stream: MultiStream) -> MultiStream:
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+ result = {}
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+ for stream_name, stream in multi_stream.items():
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+ stream = self._process_single_stream(stream, stream_name)
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+ assert isinstance(stream, Stream), "SingleStreamOperator must return a Stream"
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+ result[stream_name] = stream
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+
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+ return MultiStream(result)
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+
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+ def _process_single_stream(self, stream: Stream, stream_name: str = None) -> Stream:
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+ return Stream(self._process_stream, gen_kwargs={"stream": stream, "stream_name": stream_name})
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+
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+ def _process_stream(self, stream: Stream, stream_name: str = None) -> Generator:
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+ yield from self.process(stream, stream_name)
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+
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+ @abstractmethod
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+ def process(self, stream: Stream, stream_name: str = None) -> Generator:
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+ pass
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+
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+
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+ # class StreamGeneratorOperator(SingleStreamOperator):
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+
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+ # def stream(self, stream):
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+ # return Stream(self.process, gen_kwargs={'stream': stream})
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+
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+ # @abstractmethod
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+ # def process(self, stream: Stream) -> Generator:
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+ # yield None
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+
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+
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+ class SingleStreamReducer(StreamingOperator):
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+ def __call__(self, multi_stream: Optional[MultiStream] = None) -> Dict[str, Any]:
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+ result = {}
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+ for stream_name, stream in multi_stream.items():
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+ stream = self.process(stream)
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+ result[stream_name] = stream
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+
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+ return result
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+
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+ @abstractmethod
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+ def process(self, stream: Stream) -> Any:
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+ pass
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+
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+
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+ class StreamInstanceOperator(SingleStreamOperator):
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+ def _process_stream(self, stream: Stream, stream_name: str = None) -> Generator:
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+ for instance in stream:
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+ yield self._process_instance(instance, stream_name)
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+
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+ def _process_instance(self, instance: Dict[str, Any], stream_name: str = None) -> Dict[str, Any]:
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+ return self.process(instance, stream_name)
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+
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+ @abstractmethod
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+ def process(self, instance: Dict[str, Any], stream_name: str = None) -> Dict[str, Any]:
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+ pass
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+
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+
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+ class StreamInstanceOperatorValidator(StreamInstanceOperator):
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+ @abstractmethod
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+ def validate(self, instance):
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+ pass
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+
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+ def _process_stream(self, stream: Stream, stream_name: str = None) -> Generator:
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+ iterator = iter(stream)
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+ first_instance = next(iterator)
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+ result = self._process_instance(first_instance, stream_name)
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+ self.validate(result)
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+ yield result
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+ yield from (self._process_instance(instance, stream_name) for instance in iterator)
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+
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+
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+ class InstanceOperator(Artifact):
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+ def __call__(self, data: dict) -> dict:
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+ return self.process(data)
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+
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+ @abstractmethod
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+ def process(self, data: dict) -> dict:
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+ pass
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+
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+
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+ class FieldOperator(Artifact):
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+ def __call__(self, data: Dict[str, Any], field: str) -> dict:
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+ value = self.process(data[field])
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+ data[field] = value
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+ return data
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+
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+ @abstractmethod
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+ def process(self, value: Any) -> Any:
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+ pass
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+
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+
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+ # class NamedStreamInstanceOperator(StreamingOperator):
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+
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+ # def __call__(self, multi_stream: Optional[MultiStream] = None) -> MultiStream:
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+ # result = {}
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+ # for stream_name, stream in multi_stream.items():
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+ # stream = Stream(self.generator, gen_kwargs={'stream': stream, 'stream_name': stream_name})
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+ # result[stream_name] = stream
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+ # return MultiStream(result)
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+
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+ # def verify_first_instance(self, instance):
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+ # pass
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+
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+ # def generator(self, stream, stream_name):
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+ # iterator = iter(stream)
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+ # first_instance = next(iterator)
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+ # result = self.process(first_instance, stream_name)
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+ # self.verify_first_instance(result)
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+ # yield result
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+ # yield from (self.process(instance) for instance in iterator)
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+
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+ # @abstractmethod
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+ # def process(self, instance: dict, stream_name: str) -> dict:
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+ # pass
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+
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+
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+ class InstanceOperatorWithGlobalAccess(StreamingOperator):
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+ accessible_streams: Union[MultiStream, List[str]] = None
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+ cache_accessible_streams: bool = True
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+
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+ def __call__(self, multi_stream: Optional[MultiStream] = None) -> MultiStream:
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+ result = {}
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+
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+ if isinstance(self.accessible_streams, list):
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+ # cache the accessible streams:
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+ self.accessible_streams = MultiStream(
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+ {stream_name: multi_stream[stream_name] for stream_name in self.accessible_streams}
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+ )
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+
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+ if self.cache_accessible_streams:
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+ for stream in self.accessible_streams.values():
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+ stream.set_caching(True)
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+
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+ for stream_name, stream in multi_stream.items():
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+ stream = Stream(self.generator, gen_kwargs={"stream": stream, "multi_stream": self.accessible_streams})
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+ result[stream_name] = stream
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+
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+ return MultiStream(result)
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+
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+ def generator(self, stream, multi_stream):
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+ yield from (self.process(instance, multi_stream) for instance in stream)
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+
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+ @abstractmethod
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+ def process(self, instance: dict, multi_stream: MultiStream) -> dict:
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+ pass
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+
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+
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+ class SequntialOperator(MultiStreamOperator):
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+ steps: List[StreamingOperator] = field(default_factory=list)
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+
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+ def process(self, multi_stream: Optional[MultiStream] = None) -> MultiStream:
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+ for operator in self.steps:
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+ multi_stream = operator(multi_stream)
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+ return multi_stream
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+
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+
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+ class SourceSequntialOperator(SequntialOperator):
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+ def __call__(self) -> MultiStream:
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+ return super().__call__()
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+
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+ def process(self, multi_stream: Optional[MultiStream] = None) -> MultiStream:
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+ multi_stream = self.steps[0]()
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+ for operator in self.steps[1:]:
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+ multi_stream = operator(multi_stream)
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+ return multi_stream
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+
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+
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+ class SequntialOperatorInitilizer(SequntialOperator):
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+ def __call__(self, *args, **kwargs) -> MultiStream:
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+ return self.process(*args, **kwargs)
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+
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+ def process(self, *args, **kwargs) -> MultiStream:
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+ assert isinstance(
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+ self.steps[0], StreamInitializerOperator
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+ ), "The first step in a SequntialOperatorInitilizer must be a StreamInitializerOperator"
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+ multi_stream = self.steps[0](*args, **kwargs)
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+ for operator in self.steps[1:]:
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+ multi_stream = operator(multi_stream)
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+ return multi_stream