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Improve runnable generator error messages (#18142)
h/t @hinthornw Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.
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@ -3036,12 +3036,7 @@ class RunnableGenerator(Runnable[Input, Output]):
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return False
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def __repr__(self) -> str:
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if hasattr(self, "_transform"):
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return f"RunnableGenerator({self._transform.__name__})"
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elif hasattr(self, "_atransform"):
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return f"RunnableGenerator({self._atransform.__name__})"
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else:
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return "RunnableGenerator(...)"
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return f"RunnableGenerator({self.name})"
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def transform(
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self,
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@ -3049,6 +3044,8 @@ class RunnableGenerator(Runnable[Input, Output]):
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config: Optional[RunnableConfig] = None,
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**kwargs: Any,
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) -> Iterator[Output]:
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if not hasattr(self, "_transform"):
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raise NotImplementedError(f"{repr(self)} only supports async methods.")
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return self._transform_stream_with_config(
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input, self._transform, config, **kwargs
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)
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@ -3079,7 +3076,7 @@ class RunnableGenerator(Runnable[Input, Output]):
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**kwargs: Any,
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) -> AsyncIterator[Output]:
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if not hasattr(self, "_atransform"):
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raise NotImplementedError("This runnable does not support async methods.")
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raise NotImplementedError(f"{repr(self)} only supports sync methods.")
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return self._atransform_stream_with_config(
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input, self._atransform, config, **kwargs
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