mirror of
https://github.com/hwchase17/langchain
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47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
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"""Test LLM Bash functionality."""
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import sys
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from typing import Type
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import pytest
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from langchain.evaluation.qa.eval_chain import (
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ContextQAEvalChain,
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CotQAEvalChain,
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QAEvalChain,
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)
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from tests.unit_tests.llms.fake_llm import FakeLLM
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@pytest.mark.skipif(
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sys.platform.startswith("win"), reason="Test not supported on Windows"
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)
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def test_eval_chain() -> None:
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"""Test a simple eval chain."""
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example = {"query": "What's my name", "answer": "John Doe"}
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prediction = {"result": "John Doe"}
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fake_qa_eval_chain = QAEvalChain.from_llm(FakeLLM())
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outputs = fake_qa_eval_chain.evaluate([example, example], [prediction, prediction])
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assert outputs[0] == outputs[1]
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assert "text" in outputs[0]
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assert outputs[0]["text"] == "foo"
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@pytest.mark.skipif(
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sys.platform.startswith("win"), reason="Test not supported on Windows"
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)
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@pytest.mark.parametrize("chain_cls", [ContextQAEvalChain, CotQAEvalChain])
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def test_context_eval_chain(chain_cls: Type[ContextQAEvalChain]) -> None:
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"""Test a simple eval chain."""
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example = {
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"query": "What's my name",
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"context": "The name of this person is John Doe",
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}
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prediction = {"result": "John Doe"}
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fake_qa_eval_chain = chain_cls.from_llm(FakeLLM())
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outputs = fake_qa_eval_chain.evaluate([example, example], [prediction, prediction])
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assert outputs[0] == outputs[1]
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assert "text" in outputs[0]
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assert outputs[0]["text"] == "foo"
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