arcade-mcp/arcade/tests/tool/test_create_tool_definition.py
Nate Barbettini 5726778f11
SDK support for lists (arrays) in tool inputs & outputs (#36)
Working:
- Declare tool functions that have `list[str]` (etc) as input parameter
or output values
- Engine can call these functions!

<img width="1195" alt="image"
src="https://github.com/user-attachments/assets/2aeb3c98-950a-4e2f-a8c7-39102e3fb7f0">
2024-09-12 16:31:12 -07:00

613 lines
20 KiB
Python

from enum import Enum
from typing import Annotated, Literal, Optional
import pytest
from arcade.core.catalog import ToolCatalog
from arcade.core.schema import (
GoogleRequirement,
InputParameter,
OAuth2Requirement,
ToolAuthRequirement,
ToolContext,
ToolInputs,
ToolOutput,
ToolRequirements,
ValueSchema,
)
from arcade.sdk import tool
from arcade.sdk.annotations import Inferrable
from arcade.sdk.auth import Google, OAuth2
### Tests on @tool decorator
@tool(desc="A function with a description")
def func_with_description():
pass
@tool
def func_with_docstring_description():
"""Docstring description"""
pass
@tool
def func_with_multiline_docstring_description():
"""
Docstring description
on multiple lines
"""
pass
@tool(name="MyCustomTool", desc="A function with a very cool description")
def func_with_name_and_description():
pass
@tool(
desc="A function that requires authentication",
requires_auth=OAuth2(authority="https://example.com/oauth2/auth", scope=["scope1", "scope2"]),
)
def func_with_auth_requirement():
pass
@tool(
desc="A function that requires authentication",
requires_auth=Google(scope=["https://www.googleapis.com/auth/gmail.readonly"]),
)
def func_with_google_auth_requirement():
pass
### Tests on input params
@tool(desc="A function with a non-inferrable input parameter")
def func_with_non_inferrable_param(param1: Annotated[str, "First param", Inferrable(False)]):
pass
# Two string annotations on an input parameter is understood to be name, description
@tool(desc="A function with a renamed input parameter")
def func_with_renamed_param(param1: Annotated[str, "ParamOne", "First param"]):
pass
class MyEnum(Enum):
FOO_BAR = "foo bar"
BAZ = "baz"
@tool(desc="A function that takes an enum")
def func_with_enum_param(param1: Annotated[MyEnum, "an enum"]):
pass
@tool(desc="A function that takes a dictionary")
def func_with_dict_param(param1: Annotated[dict, "a cool dictionary"]):
pass
@tool(desc="A function that takes a string literal")
def func_with_string_literal_param(param1: Annotated[Literal["value1", "value2"], "a few choices"]):
pass
@tool(desc="A function with an input parameter with a default value (considered optional)")
def func_with_param_with_default(param1: Annotated[str, "First param"] = "default"):
pass
@tool(desc="A function with an optional input parameter")
def func_with_optional_param(param1: Annotated[Optional[str], "First param"]):
pass
@tool(desc="A function with an optional input parameter (default: None)")
def func_with_optional_param_with_default_None(
param1: Annotated[Optional[str], "First param"] = None,
):
pass
@tool(desc="A function with an optional input parameter with default value")
def func_with_optional_param_with_default_value(
param1: Annotated[Optional[str], "First param"] = "default",
):
pass
@tool(desc="A function with multiple parameters, some with default values")
def func_with_mixed_params(
context: ToolContext,
param1: Annotated[str, "First param"],
param2: Annotated[int, "Second param"] = 42,
):
pass
@tool(desc="A function with a list[str] parameter")
def func_with_list_param(param1: Annotated[list[str], "A list of strings"]):
pass
@tool(desc="A function with a list[float] parameter")
def func_with_list_float_param(param1: Annotated[list[float], "A list of floats"]):
pass
@tool(desc="A function with a list of enums parameter")
def func_with_list_of_enums_param(param1: Annotated[list[MyEnum], "A list of enums"]):
pass
@tool(desc="A function with a complex parameter type")
def func_with_complex_param(
param1: Annotated[dict[str, list[int]], "A dictionary with lists of integers"],
):
pass
@tool(desc="A function that takes a context")
def func_with_context(my_context: ToolContext):
pass
### Tests on output/return values
@tool(desc="A function that returns a list of strings")
def func_with_list_return() -> list[str]:
return ["output1", "output2"]
@tool(desc="A function that returns a known list of string literals")
def func_with_known_list_return() -> Literal["value1", "value2"]:
return "value1"
@tool(desc="A function that returns an enum")
def func_with_enum_return() -> MyEnum:
return MyEnum.FOO_BAR
@tool(desc="A function with an annotated return type")
def func_with_annotated_return() -> Annotated[str, "Annotated return description"]:
return "output"
@tool(desc="A function with an optional return type")
def func_with_optional_return() -> Optional[str]:
return "maybe output"
@tool(desc="A function with a complex return type")
def func_with_complex_return() -> dict[str, str]:
return [{"key": "value"}]
@pytest.mark.parametrize(
"func_under_test, expected_tool_def_fields",
[
# Tests on @tool decorator
pytest.param(
func_with_description,
{
"name": "FuncWithDescription", # Defaults to the camelCased function name
},
id="func_with_default_name",
),
pytest.param(
func_with_description,
{"description": "A function with a description"},
id="func_with_description",
),
pytest.param(
func_with_docstring_description,
{"description": "Docstring description"},
id="func_with_docstring_description",
),
pytest.param(
func_with_multiline_docstring_description,
{"description": "Docstring description\non multiple lines"},
id="func_with_multiline_docstring_description",
),
pytest.param(
func_with_name_and_description,
{"name": "MyCustomTool", "description": "A function with a very cool description"},
id="func_with_description_and_name",
),
pytest.param(
func_with_name_and_description,
{"name": "MyCustomTool", "requirements": ToolRequirements(auth=None)},
id="func_with_no_auth_requirement",
),
pytest.param(
func_with_auth_requirement,
{
"requirements": ToolRequirements(
authorization=ToolAuthRequirement(
provider="oauth2",
oauth2=OAuth2Requirement(
authority="https://example.com/oauth2/auth",
scope=["scope1", "scope2"],
),
)
)
},
id="func_with_auth_requirement",
),
pytest.param(
func_with_google_auth_requirement,
{
"requirements": ToolRequirements(
authorization=ToolAuthRequirement(
provider="google",
google=GoogleRequirement(
scope=["https://www.googleapis.com/auth/gmail.readonly"],
),
)
)
},
id="func_with_google_auth_requirement",
),
# Tests on input params
pytest.param(
func_with_non_inferrable_param,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="param1",
description="First param",
inferrable=False, # Set using Inferrable(False)
required=True,
value_schema=ValueSchema(val_type="string", enum=None),
)
]
),
},
id="func_with_non_inferrable_param",
),
pytest.param(
func_with_renamed_param,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="ParamOne",
description="First param",
inferrable=True,
required=True,
value_schema=ValueSchema(val_type="string", enum=None),
)
]
),
},
id="func_with_renamed_param",
),
pytest.param(
func_with_enum_param,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="param1",
description="an enum",
inferrable=True,
required=True,
value_schema=ValueSchema(val_type="string", enum=["foo bar", "baz"]),
)
]
),
},
id="func_with_enum_param",
),
pytest.param(
func_with_dict_param,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="param1",
description="a cool dictionary",
inferrable=True,
required=True,
value_schema=ValueSchema(val_type="json", enum=None),
)
]
),
},
id="func_with_dict_param",
),
pytest.param(
func_with_string_literal_param,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="param1",
description="a few choices",
inferrable=True,
required=True,
value_schema=ValueSchema(val_type="string", enum=["value1", "value2"]),
)
]
),
},
id="func_with_string_enum_param",
),
pytest.param(
func_with_param_with_default,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="param1",
description="First param",
inferrable=True,
required=False, # Because a default value is provided
value_schema=ValueSchema(val_type="string", enum=None),
)
]
),
"output": ToolOutput(
available_modes=["null"], description="No description provided."
),
},
id="func_with_param_with_default",
),
pytest.param(
func_with_optional_param,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="param1",
description="First param",
inferrable=True,
required=False, # Because of Optional[str]
value_schema=ValueSchema(val_type="string", enum=None),
)
]
),
"output": ToolOutput(
available_modes=["null"], description="No description provided."
),
},
id="func_with_optional_param",
),
pytest.param(
func_with_optional_param_with_default_None,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="param1",
description="First param",
inferrable=True,
required=False, # Because of Optional[str]
value_schema=ValueSchema(val_type="string", enum=None),
)
]
),
"output": ToolOutput(
available_modes=["null"], description="No description provided."
),
},
id="func_with_optional_param_with_default_None",
),
pytest.param(
func_with_optional_param_with_default_value,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="param1",
description="First param",
inferrable=True,
required=False, # Because of Optional[str] and default value
value_schema=ValueSchema(val_type="string", enum=None),
)
]
),
"output": ToolOutput(
available_modes=["null"], description="No description provided."
),
},
id="func_with_optional_param_with_default_value",
),
pytest.param(
func_with_mixed_params,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="param1",
description="First param",
inferrable=True,
required=True,
value_schema=ValueSchema(val_type="string", enum=None),
),
InputParameter(
name="param2",
description="Second param",
inferrable=True,
required=False, # Because a default value is provided
value_schema=ValueSchema(val_type="integer", enum=None),
),
],
tool_context_parameter_name="context",
),
},
id="func_with_mixed_params",
),
pytest.param(
func_with_list_param,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="param1",
description="A list of strings",
inferrable=True,
required=True,
value_schema=ValueSchema(
val_type="array", inner_val_type="string", enum=None
),
)
]
),
},
id="func_with_list_param",
),
pytest.param(
func_with_list_float_param,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="param1",
description="A list of floats",
inferrable=True,
required=True,
value_schema=ValueSchema(
val_type="array", inner_val_type="number", enum=None
),
)
]
),
},
id="func_with_list_float_param",
),
pytest.param(
func_with_list_of_enums_param,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="param1",
description="A list of enums",
inferrable=True,
required=True,
value_schema=ValueSchema(
val_type="array", inner_val_type="string", enum=["foo bar", "baz"]
),
)
]
),
},
id="func_with_list_of_enums_param",
),
pytest.param(
func_with_complex_param,
{
"inputs": ToolInputs(
parameters=[
InputParameter(
name="param1",
description="A dictionary with lists of integers",
inferrable=True,
required=True,
value_schema=ValueSchema(val_type="json", enum=None),
)
]
),
},
id="func_with_complex_param",
),
pytest.param(
func_with_context,
{
"inputs": ToolInputs(
parameters=[], tool_context_parameter_name="my_context"
), # ToolContext type is not an input param, but it's stored in the inputs field
},
id="func_with_context",
),
# Tests on output values
pytest.param(
func_with_list_return,
{
"inputs": ToolInputs(parameters=[]),
"output": ToolOutput(
value_schema=ValueSchema(val_type="array", inner_val_type="string", enum=None),
available_modes=["value", "error"],
description="No description provided.",
),
},
id="func_with_list_return",
),
pytest.param(
func_with_known_list_return,
{
"inputs": ToolInputs(parameters=[]),
"output": ToolOutput(
value_schema=ValueSchema(val_type="string", enum=["value1", "value2"]),
available_modes=["value", "error"],
description="No description provided.",
),
},
id="func_with_known_list_return",
),
pytest.param(
func_with_enum_return,
{
"inputs": ToolInputs(parameters=[]),
"output": ToolOutput(
value_schema=ValueSchema(val_type="string", enum=["foo bar", "baz"]),
available_modes=["value", "error"],
description="No description provided.",
),
},
id="func_with_enum_return",
),
pytest.param(
func_with_annotated_return,
{
"inputs": ToolInputs(parameters=[]),
"output": ToolOutput(
value_schema=ValueSchema(val_type="string", enum=None),
available_modes=["value", "error"],
description="Annotated return description",
),
},
id="func_with_annotated_return",
),
pytest.param(
func_with_optional_return,
{
"inputs": ToolInputs(parameters=[]),
"output": ToolOutput(
value_schema=ValueSchema(val_type="string", enum=None),
available_modes=["value", "error", "null"],
description="No description provided.",
),
},
id="func_with_optional_return",
),
pytest.param(
func_with_complex_return,
{
"inputs": ToolInputs(parameters=[]),
"output": ToolOutput(
value_schema=ValueSchema(val_type="json", enum=None),
available_modes=["value", "error"],
description="No description provided.",
),
},
id="func_with_complex_return",
),
],
)
def test_create_tool_def(func_under_test, expected_tool_def_fields):
tool_def = ToolCatalog.create_tool_definition(func_under_test, "1.0")
assert tool_def.version == "1.0"
for field, expected_value in expected_tool_def_fields.items():
assert getattr(tool_def, field) == expected_value
def tool_version_is_set_correctly():
tool_def = ToolCatalog.create_tool_definition(func_with_description, "abcd1236")
assert tool_def.version == "abcd1236"