hermes-agent/tests/tools/test_clarify_tool.py

363 lines
12 KiB
Python

"""Tests for tools/clarify_tool.py - Interactive clarifying questions."""
import json
from typing import List, Optional
from tools.clarify_tool import (
clarify_tool,
check_clarify_requirements,
MAX_CHOICES,
CLARIFY_SCHEMA,
_flatten_choice,
)
class TestClarifyToolBasics:
"""Basic functionality tests for clarify_tool."""
def test_simple_question_with_callback(self):
"""Should return user response for simple question."""
def mock_callback(question: str, choices: Optional[List[str]]) -> str:
assert question == "What color?"
assert choices is None
return "blue"
result = json.loads(clarify_tool("What color?", callback=mock_callback))
assert result["question"] == "What color?"
assert result["choices_offered"] is None
assert result["user_response"] == "blue"
def test_no_callback_returns_error(self):
"""Should return error when no callback is provided."""
result = json.loads(clarify_tool("What do you want?"))
assert "error" in result
assert "not available" in result["error"].lower()
class TestClarifyToolChoicesValidation:
"""Tests for choices parameter validation."""
def test_choices_trimmed_to_max(self):
"""Should trim choices to MAX_CHOICES."""
choices_passed = []
def mock_callback(question: str, choices: Optional[List[str]]) -> str:
choices_passed.extend(choices or [])
return "picked"
many_choices = ["a", "b", "c", "d", "e", "f", "g"]
clarify_tool("Pick one", choices=many_choices, callback=mock_callback)
assert len(choices_passed) == MAX_CHOICES
def test_choices_converted_to_strings(self):
"""Non-string choices should be converted to strings."""
choices_received = []
def mock_callback(question: str, choices: Optional[List[str]]) -> str:
choices_received.extend(choices or [])
return "answer"
clarify_tool("Pick", choices=[1, 2, 3], callback=mock_callback) # type: ignore
assert choices_received == ["1 (Recommended)", "2", "3"]
class TestClarifyToolCallbackHandling:
"""Tests for callback error handling."""
def test_callback_exception_returns_error(self):
"""Should return error if callback raises exception."""
def failing_callback(question: str, choices: Optional[List[str]]) -> str:
raise RuntimeError("User cancelled")
result = json.loads(clarify_tool("Question?", callback=failing_callback))
assert "error" in result
assert "Failed to get user input" in result["error"]
assert "User cancelled" in result["error"]
def test_user_response_stripped(self):
"""User response should be stripped of whitespace."""
def mock_callback(question: str, choices: Optional[List[str]]) -> str:
return " response with spaces \n"
result = json.loads(clarify_tool("Q?", callback=mock_callback))
assert result["user_response"] == "response with spaces"
class TestCheckClarifyRequirements:
"""Tests for the requirements check function."""
def test_always_returns_true(self):
"""clarify tool has no external requirements."""
assert check_clarify_requirements() is True
class TestClarifyDictChoices:
"""Dict-shaped choices must be unwrapped to user-facing text at the source.
LLMs sometimes emit [{"description": "..."}] instead of bare strings. The
naive str(c) coercion leaked the Python dict repr onto every surface (CLI
panel, Discord buttons, Telegram list) AND returned it verbatim as the
user's answer. _flatten_choice normalises at the one platform-agnostic
entry point so the whole class is fixed in one place.
"""
def test_flatten_unwraps_label_first(self):
assert _flatten_choice({"label": "Short", "description": "Long"}) == "Short"
def test_dict_choices_reach_callback_as_clean_text(self):
"""The whole point: the UI callback never sees a dict repr."""
seen = []
def cb(question, choices):
seen.extend(choices or [])
return choices[0]
result = json.loads(clarify_tool(
"Pick a layout",
choices=[
{"choice": "Tight", "description": "Tight, covers all 3 points"},
{"description": "Loose layout"},
{"name": "modelid", "value": "abc"}, # dropped, not leaked
"A plain string choice",
],
callback=cb,
)) # type: ignore
assert seen == [
"Tight, covers all 3 points (Recommended)",
"Loose layout",
"A plain string choice",
]
# and the resolved answer is clean text, not a dict repr
assert result["user_response"] == "Tight, covers all 3 points"
assert "{" not in result["user_response"]
assert all("{" not in c for c in result["choices_offered"])
class TestClarifySchema:
"""Tests for the OpenAI function-calling schema."""
def test_schema_name(self):
"""Schema should have correct name."""
assert CLARIFY_SCHEMA["name"] == "clarify"
def test_max_choices_is_four(self):
"""MAX_CHOICES constant should be 4."""
assert MAX_CHOICES == 4
def test_schema_multi_select_default_false(self):
"""multi_select should default to false (not in required)."""
# The model should treat it as false when omitted
assert "multi_select" not in CLARIFY_SCHEMA["parameters"]["required"]
class TestClarifyToolMultiSelect:
"""Tests for multi_select (checkbox) support added to clarify_tool."""
def test_multi_select_false_keeps_existing_behavior(self):
"""When multi_select=False, user_response should be a single string."""
def mock_callback(question, choices):
return "blue"
result = json.loads(clarify_tool(
"What color?",
choices=["red", "blue", "green"],
multi_select=False,
callback=mock_callback,
))
assert result["user_response"] == "blue"
assert isinstance(result["user_response"], str)
def test_multi_select_true_returns_list(self):
"""When multi_select=True, user_response should be a list of strings."""
def mock_callback(question, choices):
return "red, blue"
result = json.loads(clarify_tool(
"Which colors?",
choices=["red", "blue", "green"],
multi_select=True,
callback=mock_callback,
))
assert result["user_response"] == ["red", "blue"]
assert isinstance(result["user_response"], list)
def test_multi_select_single_choice_still_list(self):
"""Even a single selection should be a list when multi_select=True."""
def mock_callback(question, choices):
return "red"
result = json.loads(clarify_tool(
"Which color?",
choices=["red", "blue"],
multi_select=True,
callback=mock_callback,
))
assert result["user_response"] == ["red"]
assert isinstance(result["user_response"], list)
def test_multi_select_max_choices_enforced(self):
"""MAX_CHOICES enforcement should still work with multi_select."""
choices_passed = []
def mock_callback(question, choices):
choices_passed.extend(choices or [])
return "a, b, c, d"
many_choices = ["a", "b", "c", "d", "e", "f"]
clarify_tool(
"Pick some",
choices=many_choices,
multi_select=True,
callback=mock_callback,
)
assert len(choices_passed) == MAX_CHOICES
class TestClarifyRecommendedLabel:
"""The first choice is the agent's pick and is labelled as such.
The schema tells the model to order choices best-first, so the tool tags
element 0 with "(Recommended)" at the one platform-agnostic entry point —
CLI, TUI, desktop, and messaging adapters all inherit the same label. The
label is presentation only: it never appears in the answer the agent reads.
"""
def test_first_choice_is_labelled(self):
seen = []
def cb(question, choices):
seen.extend(choices or [])
return choices[1]
clarify_tool("Pick", choices=["Rebase", "Merge"], callback=cb)
assert seen == ["Rebase (Recommended)", "Merge"]
def test_answer_strips_the_label(self):
"""Picking the recommended option returns the bare option text."""
def cb(question, choices):
return choices[0]
result = json.loads(clarify_tool("Pick", choices=["Rebase", "Merge"], callback=cb))
assert result["user_response"] == "Rebase"
assert result["choices_offered"] == ["Rebase", "Merge"]
def test_multi_select_answers_strip_the_label(self):
def cb(question, choices, multi_select=False):
return ", ".join(choices[:2])
result = json.loads(clarify_tool(
"Pick some",
choices=["Rebase", "Merge", "Squash"],
multi_select=True,
callback=cb,
))
assert result["user_response"] == ["Rebase", "Merge"]
def test_single_choice_is_not_labelled(self):
"""One option isn't a recommendation — there's nothing to prefer it over."""
seen = []
def cb(question, choices):
seen.extend(choices or [])
return choices[0]
clarify_tool("Confirm", choices=["Ship it"], callback=cb)
assert seen == ["Ship it"]
def test_label_is_not_doubled(self):
"""A model that wrote its own label doesn't get a second one."""
seen = []
def cb(question, choices):
seen.extend(choices or [])
return choices[0]
clarify_tool("Pick", choices=["Rebase (recommended)", "Merge"], callback=cb)
assert seen == ["Rebase (recommended)", "Merge"]
def test_open_ended_unaffected(self):
def cb(question, choices):
assert choices is None
return "whatever"
result = json.loads(clarify_tool("Thoughts?", callback=cb))
assert result["choices_offered"] is None
assert result["user_response"] == "whatever"
class TestInvokeCallbackDispatch:
"""_invoke_callback uses signature inspection, never a TypeError retry."""
def test_internal_typeerror_not_swallowed_or_retried(self):
"""A compatible callback that raises TypeError internally must be
invoked exactly once and its error surfaced — not retried with the
legacy 2-arg form (which would prompt the user twice)."""
from tools.clarify_tool import _invoke_callback
calls = []
def bad_callback(question, choices, multi_select=False):
calls.append(1)
raise TypeError("internal bug")
import pytest
with pytest.raises(TypeError, match="internal bug"):
_invoke_callback(bad_callback, "Q?", ["a"], True)
assert len(calls) == 1
def test_var_keyword_callback_receives_flag(self):
from tools.clarify_tool import _invoke_callback
seen = {}
def kw_cb(question, choices, **kwargs):
seen.update(kwargs)
return "ok"
_invoke_callback(kw_cb, "Q?", ["a"], True)
assert seen.get("multi_select") is True
class TestRegistryMultiSelectPassThrough:
"""The registered tool handler must forward multi_select from tool args."""
def test_handler_passes_multi_select(self):
from tools.registry import registry
entry = registry.get_entry("clarify")
seen = {}
def cb(question, choices, multi_select=False):
seen["multi"] = multi_select
return "a, b"
result = json.loads(entry.handler(
{"question": "Pick", "choices": ["a", "b"], "multi_select": True},
callback=cb,
))
assert seen["multi"] is True
assert result["user_response"] == ["a", "b"]
def test_handler_default_single_select(self):
from tools.registry import registry
entry = registry.get_entry("clarify")
seen = {}
def cb(question, choices, multi_select=False):
seen["multi"] = multi_select
return "a"
result = json.loads(entry.handler(
{"question": "Pick", "choices": ["a", "b"]},
callback=cb,
))
assert seen["multi"] is False
assert result["user_response"] == "a"