nanobot/tests/agent/test_tool_loader_entrypoints.py
chengyongru 043f0e67f7 feat(tools): introduce plugin-based tool discovery and runtime context protocol
This commit implements a progressive refactoring of the tool system to support
plugin discovery, scoped loading, and protocol-driven runtime context injection.

Key changes:
- Add Tool ABC metadata (tool_name, _scopes) and ToolContext dataclass for
dependency injection.
- Introduce ToolLoader with pkgutil-based builtin discovery and
entry_points-based third-party plugin loading.
- Add scope filtering (core/subagent/memory) so different contexts load
appropriate tool sets.
- Introduce ContextAware protocol and RequestContext dataclass to replace
hardcoded per-tool context injection in AgentLoop.
- Add RuntimeState / MutableRuntimeState protocols to decouple MyTool from
AgentLoop.
- Migrate all built-in tools to declare scopes and implement create()/enabled()
hooks.
- Migrate MessageTool, SpawnTool, CronTool, and MyTool to ContextAware.
- Refactor AgentLoop to use ToolLoader and protocol-driven context injection.
- Refactor SubagentManager to use ToolLoader(scope="subagent") with per-run
FileStates isolation.
- Register all built-in tools via pyproject.toml entry_points.
- Add comprehensive tests for loader scopes, entry_points, ContextAware,
subagent tools, and runtime state sync.
2026-05-12 11:28:20 +08:00

77 lines
2.0 KiB
Python

from unittest.mock import MagicMock, patch
from nanobot.agent.tools.base import Tool
from nanobot.agent.tools.loader import ToolLoader
def test_loader_discovers_entry_point_tools():
"""Simulate an entry-point plugin being discovered."""
mock_ep = MagicMock()
mock_ep.name = "my_plugin"
class _FakeTool(Tool):
__name__ = "FakeTool"
_plugin_discoverable = True
_scopes = {"core"}
@property
def name(self) -> str:
return "fake_tool"
@property
def description(self) -> str:
return "A fake tool for testing."
@property
def parameters(self) -> dict:
return {"type": "object"}
@classmethod
def enabled(cls, ctx):
return True
@classmethod
def create(cls, ctx):
return MagicMock()
async def execute(self, **_):
return "ok"
mock_ep.load.return_value = _FakeTool
with patch("nanobot.agent.tools.loader.entry_points", return_value=[mock_ep]):
loader = ToolLoader()
discovered = loader._discover_plugins()
assert "my_plugin" in discovered
assert discovered["my_plugin"] is _FakeTool
def test_loader_skips_abstract_entry_point_tools():
"""Verify abstract tool classes registered via entry_points are skipped."""
mock_ep = MagicMock()
mock_ep.name = "abstract_plugin"
class _AbstractTool(Tool):
__name__ = "AbstractTool"
_plugin_discoverable = True
_scopes = {"core"}
@classmethod
def enabled(cls, ctx):
return True
@classmethod
def create(cls, ctx):
return MagicMock()
# Intentionally missing abstract properties (name, description, parameters, execute)
mock_ep.load.return_value = _AbstractTool
with patch("nanobot.agent.tools.loader.entry_points", return_value=[mock_ep]):
loader = ToolLoader()
discovered = loader._discover_plugins()
assert "abstract_plugin" not in discovered