mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
"""Test functionality related to natbot."""
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from typing import Any, List, Mapping, Optional
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from pydantic import BaseModel
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from langchain.chains.natbot.base import NatBotChain
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from langchain.llms.base import LLM
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class FakeLLM(LLM, BaseModel):
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"""Fake LLM wrapper for testing purposes."""
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def __call__(self, prompt: str, stop: Optional[List[str]] = None) -> str:
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"""Return `foo` if longer than 10000 words, else `bar`."""
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if len(prompt) > 10000:
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return "foo"
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else:
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return "bar"
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@property
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def _llm_type(self) -> str:
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"""Return type of llm."""
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return "fake"
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@property
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def _identifying_params(self) -> Mapping[str, Any]:
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return {}
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def test_proper_inputs() -> None:
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"""Test that natbot shortens inputs correctly."""
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nat_bot_chain = NatBotChain(llm=FakeLLM(), objective="testing")
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url = "foo" * 10000
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browser_content = "foo" * 10000
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output = nat_bot_chain.execute(url, browser_content)
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assert output == "bar"
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def test_variable_key_naming() -> None:
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"""Test that natbot handles variable key naming correctly."""
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nat_bot_chain = NatBotChain(
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llm=FakeLLM(),
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objective="testing",
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input_url_key="u",
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input_browser_content_key="b",
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output_key="c",
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)
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output = nat_bot_chain.execute("foo", "foo")
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assert output == "bar"
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