langchain/tests/unit_tests/chains/test_base.py

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"""Test logic on base chain class."""
from typing import Any, Dict, List
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import pytest
from pydantic import BaseModel
from langchain.chains.base import Chain, Memory
class FakeMemory(Memory, BaseModel):
"""Fake memory class for testing purposes."""
@property
def memory_variables(self) -> List[str]:
"""Return baz variable."""
return ["baz"]
def load_memory_variables(self, inputs: Dict[str, Any]) -> Dict[str, str]:
"""Return baz variable."""
return {"baz": "foo"}
def save_context(self, inputs: Dict[str, Any], outputs: Dict[str, str]) -> None:
"""Pass."""
pass
def clear(self) -> None:
"""Pass."""
pass
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class FakeChain(Chain, BaseModel):
"""Fake chain class for testing purposes."""
be_correct: bool = True
the_input_keys: List[str] = ["foo"]
the_output_keys: List[str] = ["bar"]
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@property
def input_keys(self) -> List[str]:
"""Input keys."""
return self.the_input_keys
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@property
def output_keys(self) -> List[str]:
"""Output key of bar."""
return self.the_output_keys
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def _call(self, inputs: Dict[str, str]) -> Dict[str, str]:
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if self.be_correct:
return {"bar": "baz"}
else:
return {"baz": "bar"}
def test_bad_inputs() -> None:
"""Test errors are raised if input keys are not found."""
chain = FakeChain()
with pytest.raises(ValueError):
chain({"foobar": "baz"})
def test_bad_outputs() -> None:
"""Test errors are raised if outputs keys are not found."""
chain = FakeChain(be_correct=False)
with pytest.raises(ValueError):
chain({"foo": "baz"})
def test_correct_call() -> None:
"""Test correct call of fake chain."""
chain = FakeChain()
output = chain({"foo": "bar"})
assert output == {"foo": "bar", "bar": "baz"}
def test_single_input_correct() -> None:
"""Test passing single input works."""
chain = FakeChain()
output = chain("bar")
assert output == {"foo": "bar", "bar": "baz"}
def test_single_input_error() -> None:
"""Test passing single input errors as expected."""
chain = FakeChain(the_input_keys=["foo", "bar"])
with pytest.raises(ValueError):
chain("bar")
def test_run_single_arg() -> None:
"""Test run method with single arg."""
chain = FakeChain()
output = chain.run("bar")
assert output == "baz"
def test_run_multiple_args_error() -> None:
"""Test run method with multiple args errors as expected."""
chain = FakeChain()
with pytest.raises(ValueError):
chain.run("bar", "foo")
def test_run_kwargs() -> None:
"""Test run method with kwargs."""
chain = FakeChain(the_input_keys=["foo", "bar"])
output = chain.run(foo="bar", bar="foo")
assert output == "baz"
def test_run_kwargs_error() -> None:
"""Test run method with kwargs errors as expected."""
chain = FakeChain(the_input_keys=["foo", "bar"])
with pytest.raises(ValueError):
chain.run(foo="bar", baz="foo")
def test_run_args_and_kwargs_error() -> None:
"""Test run method with args and kwargs."""
chain = FakeChain(the_input_keys=["foo", "bar"])
with pytest.raises(ValueError):
chain.run("bar", foo="bar")
def test_multiple_output_keys_error() -> None:
"""Test run with multiple output keys errors as expected."""
chain = FakeChain(the_output_keys=["foo", "bar"])
with pytest.raises(ValueError):
chain.run("bar")
def test_run_arg_with_memory() -> None:
"""Test run method works when arg is passed."""
chain = FakeChain(the_input_keys=["foo", "baz"], memory=FakeMemory())
chain.run("bar")