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infra: test convert_message (#25632)

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Bagatur 2024-08-21 11:24:06 -07:00 committed by GitHub
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175
libs/core/tests/unit_tests/messages/test_utils.py
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@ -1,3 +1,4 @@
import json
from typing import Dict, List, Type from typing import Dict, List, Type
import pytest import pytest
@ -12,6 +13,7 @@ from langchain_core.messages import (
ToolMessage, ToolMessage,
) )
from langchain_core.messages.utils import ( from langchain_core.messages.utils import (
convert_to_messages,
filter_messages, filter_messages,
merge_message_runs, merge_message_runs,
trim_messages, trim_messages,
@ -357,3 +359,176 @@ def dummy_token_counter(messages: List[BaseMessage]) -> int:
class FakeTokenCountingModel(FakeChatModel): class FakeTokenCountingModel(FakeChatModel):
def get_num_tokens_from_messages(self, messages: List[BaseMessage]) -> int: def get_num_tokens_from_messages(self, messages: List[BaseMessage]) -> int:
return dummy_token_counter(messages) return dummy_token_counter(messages)
def test_convert_to_messages() -> None:
message_like: List = [
# BaseMessage
SystemMessage("1"),
HumanMessage([{"type": "image_url", "image_url": {"url": "2.1"}}], name="2.2"),
AIMessage(
[
{"type": "text", "text": "3.1"},
{
"type": "tool_use",
"id": "3.2",
"name": "3.3",
"input": {"3.4": "3.5"},
},
]
),
AIMessage(
[
{"type": "text", "text": "4.1"},
{
"type": "tool_use",
"id": "4.2",
"name": "4.3",
"input": {"4.4": "4.5"},
},
],
tool_calls=[
{
"name": "4.3",
"args": {"4.4": "4.5"},
"id": "4.2",
"type": "tool_call",
}
],
),
ToolMessage("5.1", tool_call_id="5.2", name="5.3"),
# OpenAI dict
{"role": "system", "content": "6"},
{
"role": "user",
"content": [{"type": "image_url", "image_url": {"url": "7.1"}}],
"name": "7.2",
},
{
"role": "assistant",
"content": [{"type": "text", "text": "8.1"}],
"tool_calls": [
{
"type": "function",
"function": {
"arguments": json.dumps({"8.2": "8.3"}),
"name": "8.4",
},
"id": "8.5",
}
],
"name": "8.6",
},
{"role": "tool", "content": "10.1", "tool_call_id": "10.2"},
# Tuple/List
("system", "11.1"),
("human", [{"type": "image_url", "image_url": {"url": "12.1"}}]),
(
"ai",
[
{"type": "text", "text": "13.1"},
{
"type": "tool_use",
"id": "13.2",
"name": "13.3",
"input": {"13.4": "13.5"},
},
],
),
# String
"14.1",
# LangChain dict
{
"role": "ai",
"content": [{"type": "text", "text": "15.1"}],
"tool_calls": [{"args": {"15.2": "15.3"}, "name": "15.4", "id": "15.5"}],
"name": "15.6",
},
]
expected = [
SystemMessage(content="1"),
HumanMessage(
content=[{"type": "image_url", "image_url": {"url": "2.1"}}], name="2.2"
),
AIMessage(
content=[
{"type": "text", "text": "3.1"},
{
"type": "tool_use",
"id": "3.2",
"name": "3.3",
"input": {"3.4": "3.5"},
},
]
),
AIMessage(
content=[
{"type": "text", "text": "4.1"},
{
"type": "tool_use",
"id": "4.2",
"name": "4.3",
"input": {"4.4": "4.5"},
},
],
tool_calls=[
{
"name": "4.3",
"args": {"4.4": "4.5"},
"id": "4.2",
"type": "tool_call",
}
],
),
ToolMessage(content="5.1", name="5.3", tool_call_id="5.2"),
SystemMessage(content="6"),
HumanMessage(
content=[{"type": "image_url", "image_url": {"url": "7.1"}}], name="7.2"
),
AIMessage(
content=[{"type": "text", "text": "8.1"}],
name="8.6",
tool_calls=[
{
"name": "8.4",
"args": {"8.2": "8.3"},
"id": "8.5",
"type": "tool_call",
}
],
),
ToolMessage(content="10.1", tool_call_id="10.2"),
SystemMessage(content="11.1"),
HumanMessage(content=[{"type": "image_url", "image_url": {"url": "12.1"}}]),
AIMessage(
content=[
{"type": "text", "text": "13.1"},
{
"type": "tool_use",
"id": "13.2",
"name": "13.3",
"input": {"13.4": "13.5"},
},
]
),
HumanMessage(content="14.1"),
AIMessage(
content=[{"type": "text", "text": "15.1"}],
name="15.6",
tool_calls=[
{
"name": "15.4",
"args": {"15.2": "15.3"},
"id": "15.5",
"type": "tool_call",
}
],
),
]
actual = convert_to_messages(message_like)
assert expected == actual
@pytest.mark.xfail(reason="AI message does not support refusal key yet.")
def test_convert_to_messages_openai_refusal() -> None:
convert_to_messages([{"role": "assistant", "refusal": "9.1"}])