autogen/python/packages/autogen-agentchat/tests/test_messages.py

190 lines
7.1 KiB
Python

import json
from typing import List
import pytest
from autogen_agentchat.messages import (
AgentEvent,
ChatMessage,
HandoffMessage,
MessageFactory,
ModelClientStreamingChunkEvent,
MultiModalMessage,
StopMessage,
StructuredMessage,
StructuredMessageFactory,
TextMessage,
ToolCallExecutionEvent,
ToolCallRequestEvent,
)
from autogen_core import FunctionCall
from autogen_core.models import FunctionExecutionResult
from pydantic import BaseModel
class TestContent(BaseModel):
"""Test content model."""
field1: str
field2: int
def test_structured_message() -> None:
# Create a structured message with the test content
message = StructuredMessage[TestContent](
source="test_agent",
content=TestContent(field1="test", field2=42),
)
# Check that the message type is correct
assert message.type == "StructuredMessage[TestContent]" # type: ignore[comparison-overlap]
# Check that the content is of the correct type
assert isinstance(message.content, TestContent)
# Check that the content fields are set correctly
assert message.content.field1 == "test"
assert message.content.field2 == 42
# Check that model_dump works correctly
dumped_message = message.model_dump()
assert dumped_message["source"] == "test_agent"
assert dumped_message["content"]["field1"] == "test"
assert dumped_message["content"]["field2"] == 42
assert dumped_message["type"] == "StructuredMessage[TestContent]"
def test_structured_message_component() -> None:
# Create a structured message with the test contentformat_string="this is a string {field1} and this is an int {field2}"
format_string = "this is a string {field1} and this is an int {field2}"
s_m = StructuredMessageFactory(input_model=TestContent, format_string=format_string)
config = s_m.dump_component()
s_m_dyn = StructuredMessageFactory.load_component(config)
message = s_m_dyn.StructuredMessage(
source="test_agent", content=s_m_dyn.ContentModel(field1="test", field2=42), format_string=s_m_dyn.format_string
)
assert isinstance(message.content, s_m_dyn.ContentModel)
assert not isinstance(message.content, TestContent)
assert message.content.field1 == "test" # type: ignore[attr-defined]
assert message.content.field2 == 42 # type: ignore[attr-defined]
dumped_message = message.model_dump()
assert dumped_message["source"] == "test_agent"
assert dumped_message["content"]["field1"] == "test"
assert dumped_message["content"]["field2"] == 42
assert message.to_model_text() == format_string.format(field1="test", field2=42)
def test_message_factory() -> None:
factory = MessageFactory()
# Text message data
text_data = {
"type": "TextMessage",
"source": "test_agent",
"content": "Hello, world!",
}
# Create a TextMessage instance
text_message = factory.create(text_data)
assert isinstance(text_message, TextMessage)
assert text_message.source == "test_agent"
assert text_message.content == "Hello, world!"
assert text_message.type == "TextMessage" # type: ignore[comparison-overlap]
# Handoff message data
handoff_data = {
"type": "HandoffMessage",
"source": "test_agent",
"content": "handoff to another agent",
"target": "target_agent",
}
# Create a HandoffMessage instance
handoff_message = factory.create(handoff_data)
assert isinstance(handoff_message, HandoffMessage)
assert handoff_message.source == "test_agent"
assert handoff_message.content == "handoff to another agent"
assert handoff_message.target == "target_agent"
assert handoff_message.type == "HandoffMessage" # type: ignore[comparison-overlap]
# Structured message data
structured_data = {
"type": "StructuredMessage[TestContent]",
"source": "test_agent",
"content": {
"field1": "test",
"field2": 42,
},
}
# Create a StructuredMessage instance -- this will fail because the type
# is not registered in the factory.
with pytest.raises(ValueError):
structured_message = factory.create(structured_data)
# Register the StructuredMessage type in the factory
factory.register(StructuredMessage[TestContent])
# Create a StructuredMessage instance
structured_message = factory.create(structured_data)
assert isinstance(structured_message, StructuredMessage)
assert isinstance(structured_message.content, TestContent) # type: ignore[reportUnkownMemberType]
assert structured_message.source == "test_agent"
assert structured_message.content.field1 == "test"
assert structured_message.content.field2 == 42
assert structured_message.type == "StructuredMessage[TestContent]" # type: ignore[comparison-overlap]
sm_factory = StructuredMessageFactory(input_model=TestContent, format_string=None, content_model_name="TestContent")
config = sm_factory.dump_component()
config.config["content_model_name"] = "DynamicTestContent"
sm_factory_dynamic = StructuredMessageFactory.load_component(config)
factory.register(sm_factory_dynamic.StructuredMessage)
msg = sm_factory_dynamic.StructuredMessage(
content=sm_factory_dynamic.ContentModel(field1="static", field2=123), source="static_agent"
)
restored = factory.create(msg.dump())
assert isinstance(restored, StructuredMessage)
assert isinstance(restored.content, sm_factory_dynamic.ContentModel) # type: ignore[reportUnkownMemberType]
assert restored.source == "static_agent"
assert restored.content.field1 == "static" # type: ignore[attr-defined]
assert restored.content.field2 == 123 # type: ignore[attr-defined]
class TestContainer(BaseModel):
chat_messages: List[ChatMessage]
agent_events: List[AgentEvent]
def test_union_types() -> None:
# Create a few messages.
chat_messages: List[ChatMessage] = [
TextMessage(source="user", content="Hello!"),
MultiModalMessage(source="user", content=["Hello!", "World!"]),
HandoffMessage(source="user", content="handoff to another agent", target="target_agent"),
StopMessage(source="user", content="stop"),
]
# Create a few agent events.
agent_events: List[AgentEvent] = [
ModelClientStreamingChunkEvent(source="user", content="Hello!"),
ToolCallRequestEvent(
content=[
FunctionCall(id="1", name="test_function", arguments=json.dumps({"arg1": "value1", "arg2": "value2"}))
],
source="user",
),
ToolCallExecutionEvent(
content=[FunctionExecutionResult(call_id="1", content="result", name="test")], source="user"
),
]
# Create a container with the messages.
container = TestContainer(chat_messages=chat_messages, agent_events=agent_events)
# Dump the container to JSON.
data = container.model_dump()
# Load the container from JSON.
loaded_container = TestContainer.model_validate(data)
assert loaded_container.chat_messages == chat_messages
assert loaded_container.agent_events == agent_events