langchain/tests/unit_tests/chains/test_base.py
Ankush Gola b177a29d3f
support returning run info for llms, chat models and chains (#5666)
returning the run id is important for accessing the run later on
2023-06-06 10:07:46 -07:00

164 lines
4.5 KiB
Python

"""Test logic on base chain class."""
from typing import Any, Dict, List, Optional
import pytest
from langchain.callbacks.manager import CallbackManagerForChainRun
from langchain.chains.base import Chain
from langchain.schema import RUN_KEY, BaseMemory
from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
class FakeMemory(BaseMemory):
"""Fake memory class for testing purposes."""
@property
def memory_variables(self) -> List[str]:
"""Return baz variable."""
return ["baz"]
def load_memory_variables(
self, inputs: Optional[Dict[str, Any]] = None
) -> Dict[str, str]:
"""Return baz variable."""
return {"baz": "foo"}
def save_context(self, inputs: Dict[str, Any], outputs: Dict[str, str]) -> None:
"""Pass."""
def clear(self) -> None:
"""Pass."""
class FakeChain(Chain):
"""Fake chain class for testing purposes."""
be_correct: bool = True
the_input_keys: List[str] = ["foo"]
the_output_keys: List[str] = ["bar"]
@property
def input_keys(self) -> List[str]:
"""Input keys."""
return self.the_input_keys
@property
def output_keys(self) -> List[str]:
"""Output key of bar."""
return self.the_output_keys
def _call(
self,
inputs: Dict[str, str],
run_manager: Optional[CallbackManagerForChainRun] = None,
) -> Dict[str, str]:
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_run_info() -> None:
"""Test that run_info is returned properly when specified"""
chain = FakeChain()
output = chain({"foo": "bar"}, include_run_info=True)
assert "foo" in output
assert "bar" in output
assert RUN_KEY in output
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")
def test_run_with_callback() -> None:
"""Test run method works when callback manager is passed."""
handler = FakeCallbackHandler()
chain = FakeChain(
callbacks=[handler],
)
output = chain.run("bar")
assert output == "baz"
assert handler.starts == 1
assert handler.ends == 1
assert handler.errors == 0