mirror of https://github.com/hwchase17/langchain
core[patch]: testing add chat model for unit-tests (#16209)
This PR adds a fake chat model for testing purposes. Used in this PR: https://github.com/langchain-ai/langchain/pull/16172pull/16216/head
parent
27ad65cc68
commit
ecd4f0a7ec
@ -0,0 +1,184 @@
|
||||
"""Tests for verifying that testing utility code works as expected."""
|
||||
from itertools import cycle
|
||||
from typing import Any, Dict, List, Optional, Union
|
||||
from uuid import UUID
|
||||
|
||||
from langchain_core.callbacks.base import AsyncCallbackHandler
|
||||
from langchain_core.messages import AIMessage, AIMessageChunk, BaseMessage
|
||||
from langchain_core.outputs import ChatGenerationChunk, GenerationChunk
|
||||
from tests.unit_tests.fake.chat_model import GenericFakeChatModel
|
||||
|
||||
|
||||
def test_generic_fake_chat_model_invoke() -> None:
|
||||
# Will alternate between responding with hello and goodbye
|
||||
infinite_cycle = cycle([AIMessage(content="hello"), AIMessage(content="goodbye")])
|
||||
model = GenericFakeChatModel(messages=infinite_cycle)
|
||||
response = model.invoke("meow")
|
||||
assert response == AIMessage(content="hello")
|
||||
response = model.invoke("kitty")
|
||||
assert response == AIMessage(content="goodbye")
|
||||
response = model.invoke("meow")
|
||||
assert response == AIMessage(content="hello")
|
||||
|
||||
|
||||
async def test_generic_fake_chat_model_ainvoke() -> None:
|
||||
# Will alternate between responding with hello and goodbye
|
||||
infinite_cycle = cycle([AIMessage(content="hello"), AIMessage(content="goodbye")])
|
||||
model = GenericFakeChatModel(messages=infinite_cycle)
|
||||
response = await model.ainvoke("meow")
|
||||
assert response == AIMessage(content="hello")
|
||||
response = await model.ainvoke("kitty")
|
||||
assert response == AIMessage(content="goodbye")
|
||||
response = await model.ainvoke("meow")
|
||||
assert response == AIMessage(content="hello")
|
||||
|
||||
|
||||
async def test_generic_fake_chat_model_stream() -> None:
|
||||
"""Test streaming."""
|
||||
infinite_cycle = cycle(
|
||||
[
|
||||
AIMessage(content="hello goodbye"),
|
||||
]
|
||||
)
|
||||
model = GenericFakeChatModel(messages=infinite_cycle)
|
||||
chunks = [chunk async for chunk in model.astream("meow")]
|
||||
assert chunks == [
|
||||
AIMessageChunk(content="hello"),
|
||||
AIMessageChunk(content=" "),
|
||||
AIMessageChunk(content="goodbye"),
|
||||
]
|
||||
|
||||
chunks = [chunk for chunk in model.stream("meow")]
|
||||
assert chunks == [
|
||||
AIMessageChunk(content="hello"),
|
||||
AIMessageChunk(content=" "),
|
||||
AIMessageChunk(content="goodbye"),
|
||||
]
|
||||
|
||||
# Test streaming of additional kwargs.
|
||||
# Relying on insertion order of the additional kwargs dict
|
||||
message = AIMessage(content="", additional_kwargs={"foo": 42, "bar": 24})
|
||||
model = GenericFakeChatModel(messages=cycle([message]))
|
||||
chunks = [chunk async for chunk in model.astream("meow")]
|
||||
assert chunks == [
|
||||
AIMessageChunk(content="", additional_kwargs={"foo": 42}),
|
||||
AIMessageChunk(content="", additional_kwargs={"bar": 24}),
|
||||
]
|
||||
|
||||
message = AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "move_file",
|
||||
"arguments": '{\n "source_path": "foo",\n "'
|
||||
'destination_path": "bar"\n}',
|
||||
}
|
||||
},
|
||||
)
|
||||
model = GenericFakeChatModel(messages=cycle([message]))
|
||||
chunks = [chunk async for chunk in model.astream("meow")]
|
||||
|
||||
assert chunks == [
|
||||
AIMessageChunk(
|
||||
content="", additional_kwargs={"function_call": {"name": "move_file"}}
|
||||
),
|
||||
AIMessageChunk(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"arguments": '{\n "source_path": "foo"'}
|
||||
},
|
||||
),
|
||||
AIMessageChunk(
|
||||
content="", additional_kwargs={"function_call": {"arguments": ","}}
|
||||
),
|
||||
AIMessageChunk(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"arguments": '\n "destination_path": "bar"\n}'}
|
||||
},
|
||||
),
|
||||
]
|
||||
|
||||
accumulate_chunks = None
|
||||
for chunk in chunks:
|
||||
if accumulate_chunks is None:
|
||||
accumulate_chunks = chunk
|
||||
else:
|
||||
accumulate_chunks += chunk
|
||||
|
||||
assert accumulate_chunks == AIMessageChunk(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "move_file",
|
||||
"arguments": '{\n "source_path": "foo",\n "'
|
||||
'destination_path": "bar"\n}',
|
||||
}
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
async def test_generic_fake_chat_model_astream_log() -> None:
|
||||
"""Test streaming."""
|
||||
infinite_cycle = cycle([AIMessage(content="hello goodbye")])
|
||||
model = GenericFakeChatModel(messages=infinite_cycle)
|
||||
log_patches = [
|
||||
log_patch async for log_patch in model.astream_log("meow", diff=False)
|
||||
]
|
||||
final = log_patches[-1]
|
||||
assert final.state["streamed_output"] == [
|
||||
AIMessageChunk(content="hello"),
|
||||
AIMessageChunk(content=" "),
|
||||
AIMessageChunk(content="goodbye"),
|
||||
]
|
||||
|
||||
|
||||
async def test_callback_handlers() -> None:
|
||||
"""Verify that model is implemented correctly with handlers working."""
|
||||
|
||||
class MyCustomAsyncHandler(AsyncCallbackHandler):
|
||||
def __init__(self, store: List[str]) -> None:
|
||||
self.store = store
|
||||
|
||||
async def on_chat_model_start(
|
||||
self,
|
||||
serialized: Dict[str, Any],
|
||||
messages: List[List[BaseMessage]],
|
||||
*,
|
||||
run_id: UUID,
|
||||
parent_run_id: Optional[UUID] = None,
|
||||
tags: Optional[List[str]] = None,
|
||||
metadata: Optional[Dict[str, Any]] = None,
|
||||
**kwargs: Any,
|
||||
) -> Any:
|
||||
# Do nothing
|
||||
# Required to implement since this is an abstract method
|
||||
pass
|
||||
|
||||
async def on_llm_new_token(
|
||||
self,
|
||||
token: str,
|
||||
*,
|
||||
chunk: Optional[Union[GenerationChunk, ChatGenerationChunk]] = None,
|
||||
run_id: UUID,
|
||||
parent_run_id: Optional[UUID] = None,
|
||||
tags: Optional[List[str]] = None,
|
||||
**kwargs: Any,
|
||||
) -> None:
|
||||
self.store.append(token)
|
||||
|
||||
infinite_cycle = cycle(
|
||||
[
|
||||
AIMessage(content="hello goodbye"),
|
||||
]
|
||||
)
|
||||
model = GenericFakeChatModel(messages=infinite_cycle)
|
||||
tokens: List[str] = []
|
||||
# New model
|
||||
results = list(model.stream("meow", {"callbacks": [MyCustomAsyncHandler(tokens)]}))
|
||||
assert results == [
|
||||
AIMessageChunk(content="hello"),
|
||||
AIMessageChunk(content=" "),
|
||||
AIMessageChunk(content="goodbye"),
|
||||
]
|
||||
assert tokens == ["hello", " ", "goodbye"]
|
Loading…
Reference in New Issue