mirror of https://github.com/microsoft/autogen.git
592 lines
21 KiB
Python
592 lines
21 KiB
Python
import inspect
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from dataclasses import dataclass
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from functools import partial
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from typing import Annotated, List
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import pytest
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from autogen_core import CancellationToken
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from autogen_core._function_utils import get_typed_signature
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from autogen_core.tools import BaseTool, FunctionTool
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from autogen_core.tools._base import ToolSchema
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from pydantic import BaseModel, Field, ValidationError, model_serializer
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from pydantic_core import PydanticUndefined
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class MyArgs(BaseModel):
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query: str = Field(description="The description.")
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class MyNestedArgs(BaseModel):
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arg: MyArgs = Field(description="The nested description.")
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class MyResult(BaseModel):
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result: str = Field(description="The other description.")
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class MyTool(BaseTool[MyArgs, MyResult]):
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def __init__(self) -> None:
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super().__init__(
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args_type=MyArgs,
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return_type=MyResult,
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name="TestTool",
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description="Description of test tool.",
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)
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self.called_count = 0
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async def run(self, args: MyArgs, cancellation_token: CancellationToken) -> MyResult:
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self.called_count += 1
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return MyResult(result="value")
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class MyNestedTool(BaseTool[MyNestedArgs, MyResult]):
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def __init__(self) -> None:
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super().__init__(
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args_type=MyNestedArgs,
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return_type=MyResult,
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name="TestNestedTool",
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description="Description of test nested tool.",
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)
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self.called_count = 0
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async def run(self, args: MyNestedArgs, cancellation_token: CancellationToken) -> MyResult:
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self.called_count += 1
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return MyResult(result="value")
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def test_tool_schema_generation() -> None:
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schema = MyTool().schema
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assert schema["name"] == "TestTool"
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assert "description" in schema
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assert schema["description"] == "Description of test tool."
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assert "parameters" in schema
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assert schema["parameters"]["type"] == "object"
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assert "properties" in schema["parameters"]
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assert schema["parameters"]["properties"]["query"]["description"] == "The description."
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assert schema["parameters"]["properties"]["query"]["type"] == "string"
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assert "required" in schema["parameters"]
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assert schema["parameters"]["required"] == ["query"]
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assert len(schema["parameters"]["properties"]) == 1
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def test_func_tool_schema_generation() -> None:
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def my_function(arg: str, other: Annotated[int, "int arg"], nonrequired: int = 5) -> MyResult:
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return MyResult(result="test")
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tool = FunctionTool(my_function, description="Function tool.")
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schema = tool.schema
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assert schema["name"] == "my_function"
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assert "description" in schema
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assert schema["description"] == "Function tool."
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assert "parameters" in schema
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assert schema["parameters"]["type"] == "object"
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assert schema["parameters"]["properties"].keys() == {"arg", "other", "nonrequired"}
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assert schema["parameters"]["properties"]["arg"]["type"] == "string"
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assert schema["parameters"]["properties"]["arg"]["description"] == "arg"
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assert schema["parameters"]["properties"]["other"]["type"] == "integer"
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assert schema["parameters"]["properties"]["other"]["description"] == "int arg"
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assert schema["parameters"]["properties"]["nonrequired"]["type"] == "integer"
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assert schema["parameters"]["properties"]["nonrequired"]["description"] == "nonrequired"
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assert "required" in schema["parameters"]
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assert schema["parameters"]["required"] == ["arg", "other"]
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assert len(schema["parameters"]["properties"]) == 3
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def test_func_tool_schema_generation_strict() -> None:
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def my_function1(arg: str, other: Annotated[int, "int arg"], nonrequired: int = 5) -> MyResult:
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return MyResult(result="test")
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with pytest.raises(ValueError, match="Strict mode is enabled"):
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tool = FunctionTool(my_function1, description="Function tool.", strict=True)
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schema = tool.schema
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def my_function2(arg: str, other: Annotated[int, "int arg"]) -> MyResult:
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return MyResult(result="test")
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tool = FunctionTool(my_function2, description="Function tool.", strict=True)
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schema = tool.schema
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assert schema["name"] == "my_function2"
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assert "description" in schema
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assert schema["description"] == "Function tool."
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assert "parameters" in schema
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assert schema["parameters"]["type"] == "object"
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assert schema["parameters"]["properties"].keys() == {"arg", "other"}
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assert schema["parameters"]["properties"]["arg"]["type"] == "string"
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assert schema["parameters"]["properties"]["arg"]["description"] == "arg"
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assert schema["parameters"]["properties"]["other"]["type"] == "integer"
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assert schema["parameters"]["properties"]["other"]["description"] == "int arg"
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assert "required" in schema["parameters"]
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assert schema["parameters"]["required"] == ["arg", "other"]
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assert len(schema["parameters"]["properties"]) == 2
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assert "additionalProperties" in schema["parameters"]
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assert schema["parameters"]["additionalProperties"] is False
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def test_func_tool_schema_generation_only_default_arg() -> None:
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def my_function(arg: str = "default") -> MyResult:
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return MyResult(result="test")
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tool = FunctionTool(my_function, description="Function tool.")
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schema = tool.schema
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assert schema["name"] == "my_function"
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assert "description" in schema
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assert schema["description"] == "Function tool."
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assert "parameters" in schema
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assert len(schema["parameters"]["properties"]) == 1
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assert schema["parameters"]["properties"]["arg"]["type"] == "string"
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assert schema["parameters"]["properties"]["arg"]["description"] == "arg"
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assert "required" in schema["parameters"]
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assert schema["parameters"]["required"] == []
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def test_func_tool_schema_generation_only_default_arg_strict() -> None:
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def my_function(arg: str = "default") -> MyResult:
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return MyResult(result="test")
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with pytest.raises(ValueError, match="Strict mode is enabled"):
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tool = FunctionTool(my_function, description="Function tool.", strict=True)
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_ = tool.schema
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def test_func_tool_with_partial_positional_arguments_schema_generation() -> None:
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"""Test correct schema generation for a partial function with positional arguments."""
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def get_weather(country: str, city: str) -> str:
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return f"The temperature in {city}, {country} is 75°"
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partial_function = partial(get_weather, "Germany")
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tool = FunctionTool(partial_function, description="Partial function tool.")
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schema = tool.schema
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assert schema["name"] == "get_weather"
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assert "description" in schema
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assert schema["description"] == "Partial function tool."
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assert "parameters" in schema
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assert schema["parameters"]["type"] == "object"
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assert schema["parameters"]["properties"].keys() == {"city"}
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assert schema["parameters"]["properties"]["city"]["type"] == "string"
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assert schema["parameters"]["properties"]["city"]["description"] == "city"
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assert "required" in schema["parameters"]
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assert schema["parameters"]["required"] == ["city"]
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assert "country" not in schema["parameters"]["properties"] # check country not in schema params
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assert len(schema["parameters"]["properties"]) == 1
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def test_func_call_tool_with_kwargs_schema_generation() -> None:
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"""Test correct schema generation for a partial function with kwargs."""
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def get_weather(country: str, city: str) -> str:
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return f"The temperature in {city}, {country} is 75°"
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partial_function = partial(get_weather, country="Germany")
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tool = FunctionTool(partial_function, description="Partial function tool.")
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schema = tool.schema
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assert schema["name"] == "get_weather"
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assert "description" in schema
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assert schema["description"] == "Partial function tool."
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assert "parameters" in schema
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assert schema["parameters"]["type"] == "object"
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assert schema["parameters"]["properties"].keys() == {"country", "city"}
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assert schema["parameters"]["properties"]["city"]["type"] == "string"
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assert schema["parameters"]["properties"]["country"]["type"] == "string"
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assert "required" in schema["parameters"]
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assert schema["parameters"]["required"] == ["city"] # only city is required
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assert len(schema["parameters"]["properties"]) == 2
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@pytest.mark.asyncio
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async def test_run_func_call_tool_with_kwargs_and_args() -> None:
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"""Test run partial function with kwargs and args."""
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def get_weather(country: str, city: str, unit: str = "Celsius") -> str:
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return f"The temperature in {city}, {country} is 75° {unit}"
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partial_function = partial(get_weather, "Germany", unit="Fahrenheit")
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tool = FunctionTool(partial_function, description="Partial function tool.")
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result = await tool.run_json({"city": "Berlin"}, CancellationToken())
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assert isinstance(result, str)
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assert result == "The temperature in Berlin, Germany is 75° Fahrenheit"
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@pytest.mark.asyncio
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async def test_tool_run() -> None:
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tool = MyTool()
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result = await tool.run_json({"query": "test"}, CancellationToken())
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assert isinstance(result, MyResult)
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assert result.result == "value"
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assert tool.called_count == 1
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result = await tool.run_json({"query": "test"}, CancellationToken())
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result = await tool.run_json({"query": "test"}, CancellationToken())
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assert tool.called_count == 3
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def test_tool_properties() -> None:
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tool = MyTool()
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assert tool.name == "TestTool"
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assert tool.description == "Description of test tool."
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assert tool.args_type() == MyArgs
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assert tool.return_type() == MyResult
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assert tool.state_type() is None
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def test_get_typed_signature() -> None:
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def my_function() -> str:
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return "result"
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sig = get_typed_signature(my_function)
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assert isinstance(sig, inspect.Signature)
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assert len(sig.parameters) == 0
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assert sig.return_annotation is str
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def test_get_typed_signature_annotated() -> None:
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def my_function() -> Annotated[str, "The return type"]:
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return "result"
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sig = get_typed_signature(my_function)
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assert isinstance(sig, inspect.Signature)
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assert len(sig.parameters) == 0
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assert sig.return_annotation == Annotated[str, "The return type"]
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def test_get_typed_signature_string() -> None:
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def my_function() -> "str":
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return "result"
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sig = get_typed_signature(my_function)
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assert isinstance(sig, inspect.Signature)
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assert len(sig.parameters) == 0
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assert sig.return_annotation is str
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def test_get_typed_signature_params() -> None:
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def my_function(arg: str) -> None:
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return None
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sig = get_typed_signature(my_function)
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assert isinstance(sig, inspect.Signature)
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assert sig.return_annotation is type(None)
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assert len(sig.parameters) == 1
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assert sig.parameters["arg"].annotation is str
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def test_get_typed_signature_two_params() -> None:
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def my_function(arg: str, arg2: int) -> None:
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return None
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sig = get_typed_signature(my_function)
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assert isinstance(sig, inspect.Signature)
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assert len(sig.parameters) == 2
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assert sig.parameters["arg"].annotation is str
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assert sig.parameters["arg2"].annotation is int
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def test_get_typed_signature_param_str() -> None:
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def my_function(arg: "str") -> None:
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return None
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sig = get_typed_signature(my_function)
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assert isinstance(sig, inspect.Signature)
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assert len(sig.parameters) == 1
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assert sig.parameters["arg"].annotation is str
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def test_get_typed_signature_param_annotated() -> None:
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def my_function(arg: Annotated[str, "An arg"]) -> None:
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return None
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sig = get_typed_signature(my_function)
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assert isinstance(sig, inspect.Signature)
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assert len(sig.parameters) == 1
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assert sig.parameters["arg"].annotation == Annotated[str, "An arg"]
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def test_func_tool() -> None:
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def my_function() -> str:
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return "result"
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tool = FunctionTool(my_function, description="Function tool.")
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assert tool.name == "my_function"
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assert tool.description == "Function tool."
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assert issubclass(tool.args_type(), BaseModel)
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assert issubclass(tool.return_type(), str)
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assert tool.state_type() is None
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def test_func_tool_annotated_arg() -> None:
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def my_function(my_arg: Annotated[str, "test description"]) -> str:
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return "result"
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tool = FunctionTool(my_function, description="Function tool.")
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assert tool.name == "my_function"
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assert tool.description == "Function tool."
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assert issubclass(tool.args_type(), BaseModel)
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assert issubclass(tool.return_type(), str)
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assert tool.args_type().model_fields["my_arg"].description == "test description"
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assert tool.args_type().model_fields["my_arg"].annotation is str
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assert tool.args_type().model_fields["my_arg"].is_required() is True
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assert tool.args_type().model_fields["my_arg"].default is PydanticUndefined
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assert len(tool.args_type().model_fields) == 1
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assert tool.return_type() is str
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assert tool.state_type() is None
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def test_func_tool_return_annotated() -> None:
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def my_function() -> Annotated[str, "test description"]:
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return "result"
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tool = FunctionTool(my_function, description="Function tool.")
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assert tool.name == "my_function"
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assert tool.description == "Function tool."
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assert issubclass(tool.args_type(), BaseModel)
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assert tool.return_type() is str
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assert tool.state_type() is None
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def test_func_tool_no_args() -> None:
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def my_function() -> str:
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return "result"
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tool = FunctionTool(my_function, description="Function tool.")
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assert tool.name == "my_function"
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assert tool.description == "Function tool."
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assert issubclass(tool.args_type(), BaseModel)
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assert len(tool.args_type().model_fields) == 0
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assert tool.return_type() is str
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assert tool.state_type() is None
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def test_func_tool_return_none() -> None:
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def my_function() -> None:
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return None
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tool = FunctionTool(my_function, description="Function tool.")
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assert tool.name == "my_function"
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assert tool.description == "Function tool."
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assert issubclass(tool.args_type(), BaseModel)
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assert tool.return_type() is type(None)
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assert tool.state_type() is None
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def test_func_tool_return_base_model() -> None:
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def my_function() -> MyResult:
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return MyResult(result="value")
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tool = FunctionTool(my_function, description="Function tool.")
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assert tool.name == "my_function"
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assert tool.description == "Function tool."
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assert issubclass(tool.args_type(), BaseModel)
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assert tool.return_type() is MyResult
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assert tool.state_type() is None
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@pytest.mark.asyncio
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async def test_func_call_tool() -> None:
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def my_function() -> str:
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return "result"
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tool = FunctionTool(my_function, description="Function tool.")
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result = await tool.run_json({}, CancellationToken())
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assert result == "result"
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@pytest.mark.asyncio
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async def test_func_call_tool_base_model() -> None:
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def my_function() -> MyResult:
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return MyResult(result="value")
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tool = FunctionTool(my_function, description="Function tool.")
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result = await tool.run_json({}, CancellationToken())
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assert isinstance(result, MyResult)
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assert result.result == "value"
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@pytest.mark.asyncio
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async def test_func_call_tool_with_arg_base_model() -> None:
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def my_function(arg: str) -> MyResult:
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return MyResult(result="value")
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tool = FunctionTool(my_function, description="Function tool.")
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result = await tool.run_json({"arg": "test"}, CancellationToken())
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assert isinstance(result, MyResult)
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assert result.result == "value"
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@pytest.mark.asyncio
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async def test_func_str_res() -> None:
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def my_function(arg: str) -> str:
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return "test"
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tool = FunctionTool(my_function, description="Function tool.")
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result = await tool.run_json({"arg": "test"}, CancellationToken())
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assert tool.return_value_as_string(result) == "test"
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@pytest.mark.asyncio
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async def test_func_base_model_res() -> None:
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def my_function(arg: str) -> MyResult:
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return MyResult(result="test")
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tool = FunctionTool(my_function, description="Function tool.")
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result = await tool.run_json({"arg": "test"}, CancellationToken())
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assert tool.return_value_as_string(result) == '{"result": "test"}'
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@pytest.mark.asyncio
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async def test_func_base_model_custom_dump_res() -> None:
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class MyResultCustomDump(BaseModel):
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result: str = Field(description="The other description.")
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@model_serializer
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def ser_model(self) -> str:
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return "custom: " + self.result
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def my_function(arg: str) -> MyResultCustomDump:
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return MyResultCustomDump(result="test")
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tool = FunctionTool(my_function, description="Function tool.")
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result = await tool.run_json({"arg": "test"}, CancellationToken())
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assert tool.return_value_as_string(result) == "custom: test"
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@pytest.mark.asyncio
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async def test_func_int_res() -> None:
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def my_function(arg: int) -> int:
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return arg
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tool = FunctionTool(my_function, description="Function tool.")
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result = await tool.run_json({"arg": 5}, CancellationToken())
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assert tool.return_value_as_string(result) == "5"
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@pytest.mark.asyncio
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async def test_func_tool_return_list() -> None:
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def my_function() -> List[int]:
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return [1, 2]
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tool = FunctionTool(my_function, description="Function tool.")
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result = await tool.run_json({}, CancellationToken())
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assert isinstance(result, list)
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assert result == [1, 2]
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assert tool.return_value_as_string(result) == "[1, 2]"
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def test_nested_tool_schema_generation() -> None:
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schema: ToolSchema = MyNestedTool().schema
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assert "description" in schema
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assert "parameters" in schema
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assert "type" in schema["parameters"]
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assert "arg" in schema["parameters"]["properties"]
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assert "type" in schema["parameters"]["properties"]["arg"]
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assert "title" in schema["parameters"]["properties"]["arg"]
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assert "properties" in schema["parameters"]["properties"]["arg"]
|
|
assert "query" in schema["parameters"]["properties"]["arg"]["properties"]
|
|
assert "type" in schema["parameters"]["properties"]["arg"]["properties"]["query"]
|
|
assert "description" in schema["parameters"]["properties"]["arg"]["properties"]["query"]
|
|
assert "required" in schema["parameters"]
|
|
assert schema["description"] == "Description of test nested tool."
|
|
assert schema["parameters"]["type"] == "object"
|
|
assert schema["parameters"]["properties"]["arg"]["type"] == "object"
|
|
assert schema["parameters"]["properties"]["arg"]["title"] == "MyArgs"
|
|
assert schema["parameters"]["properties"]["arg"]["properties"]["query"]["type"] == "string"
|
|
assert schema["parameters"]["properties"]["arg"]["properties"]["query"]["description"] == "The description."
|
|
assert schema["parameters"]["properties"]["arg"]["required"] == ["query"]
|
|
assert schema["parameters"]["required"] == ["arg"]
|
|
assert len(schema["parameters"]["properties"]) == 1
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_nested_tool_run() -> None:
|
|
tool = MyNestedTool()
|
|
result = await tool.run_json({"arg": {"query": "test"}}, CancellationToken())
|
|
|
|
assert isinstance(result, MyResult)
|
|
assert result.result == "value"
|
|
assert tool.called_count == 1
|
|
|
|
result = await tool.run_json({"arg": {"query": "test"}}, CancellationToken())
|
|
result = await tool.run_json({"arg": {"query": "test"}}, CancellationToken())
|
|
|
|
assert tool.called_count == 3
|
|
|
|
|
|
def test_nested_tool_properties() -> None:
|
|
tool = MyNestedTool()
|
|
|
|
assert tool.name == "TestNestedTool"
|
|
assert tool.description == "Description of test nested tool."
|
|
assert tool.args_type() == MyNestedArgs
|
|
assert tool.return_type() == MyResult
|
|
assert tool.state_type() is None
|
|
|
|
|
|
# --- Define a sample Pydantic model and tool function ---
|
|
|
|
|
|
class AddInput(BaseModel):
|
|
x: int
|
|
y: int
|
|
|
|
|
|
def add_tool(input: AddInput) -> int:
|
|
return input.x + input.y
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_func_tool_with_pydantic_model_conversion_success() -> None:
|
|
tool = FunctionTool(add_tool, description="Tool to add two numbers.")
|
|
test_input = {"input": {"x": 2, "y": 3}}
|
|
result = await tool.run_json(test_input, CancellationToken())
|
|
|
|
assert result == 5
|
|
assert tool.return_value_as_string(result) == "5"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_func_tool_with_pydantic_model_conversion_failure() -> None:
|
|
tool = FunctionTool(add_tool, description="Tool to add two numbers.")
|
|
test_input = {"input": {"x": 2}}
|
|
|
|
with pytest.raises(ValidationError, match="Field required"):
|
|
await tool.run_json(test_input, CancellationToken())
|
|
|
|
|
|
# --- Additional test using a dataclass ---
|
|
@dataclass
|
|
class MultiplyInput:
|
|
a: int
|
|
b: int
|
|
|
|
|
|
def multiply_tool(input: MultiplyInput) -> int:
|
|
return input.a * input.b
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_func_tool_with_dataclass_conversion_success() -> None:
|
|
tool = FunctionTool(multiply_tool, description="Tool to multiply two numbers.")
|
|
test_input = {"input": {"a": 4, "b": 5}}
|
|
result = await tool.run_json(test_input, CancellationToken())
|
|
assert result == 20
|
|
assert tool.return_value_as_string(result) == "20"
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_func_tool_with_dataclass_conversion_failure() -> None:
|
|
tool = FunctionTool(multiply_tool, description="Tool to multiply two numbers.")
|
|
# Missing field 'b'
|
|
test_input = {"input": {"a": 4}}
|
|
|
|
with pytest.raises(ValidationError, match="Field required"):
|
|
await tool.run_json(test_input, CancellationToken())
|