forked from Archives/langchain
48b093823e
Arbitrary transformation chains that can be used to add dictionary extractions from llms/other chains
41 lines
1.2 KiB
Python
41 lines
1.2 KiB
Python
"""Test transform chain."""
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from typing import Dict
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import pytest
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from langchain.chains.transform import TransformChain
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def dummy_transform(inputs: Dict[str, str]) -> Dict[str, str]:
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"""Transform a dummy input for tests."""
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outputs = inputs
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outputs["greeting"] = f"{inputs['first_name']} {inputs['last_name']} says hello"
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del outputs["first_name"]
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del outputs["last_name"]
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return outputs
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def test_tranform_chain() -> None:
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"""Test basic transform chain."""
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transform_chain = TransformChain(
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input_variables=["first_name", "last_name"],
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output_variables=["greeting"],
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transform=dummy_transform,
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)
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input_dict = {"first_name": "Leroy", "last_name": "Jenkins"}
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response = transform_chain(input_dict)
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expected_response = {"greeting": "Leroy Jenkins says hello"}
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assert response == expected_response
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def test_transform_chain_bad_inputs() -> None:
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"""Test basic transform chain."""
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transform_chain = TransformChain(
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input_variables=["first_name", "last_name"],
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output_variables=["greeting"],
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transform=dummy_transform,
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)
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input_dict = {"name": "Leroy", "last_name": "Jenkins"}
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with pytest.raises(ValueError):
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_ = transform_chain(input_dict)
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