mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
b177a29d3f
returning the run id is important for accessing the run later on
164 lines
4.5 KiB
Python
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
|