Files
LangBot/tests/unit_tests/provider/test_skill_tools.py
Junyan Qin 18ad51e21e test: repair stale skill/sandbox tests for feat/sandbox
The skill subsystem moved to Tool-Call activation and a Box-managed
skill store; several tests still asserted removed APIs and a sys.modules
stub leaked across the suite. Full unit suite now green (was 23 failing).

- test_skill_tools: drop TestSkillManagerActivation (text-marker API
  removed); rewrite TestSkillActivationHelper around the current
  skill.activation.register_activated_skill; replace the CRUD
  TestSkillAuthoringToolLoader with TestSkillToolLoader covering the
  current activate/register_skill tools and sandbox-availability gating
- test_tool_manager_native: ToolManager attr is skill_tool_loader (not
  skill_authoring_tool_loader); native loader now exposes 6 tools
  (exec/read/write/edit/glob/grep) and requires initialize() with a
  backend-available get_status()
- test_localagent_sandbox_exec: remove obsolete activation-marker
  leakage tests and their helper providers
- test_model_service / pipeline conftest: give the mocks skill_mgr=None
  so PreProcessor's local-agent skill-binding guard short-circuits
- test_n8nsvapi: stop permanently overwriting sys.modules
  ('langbot.pkg.provider.runner' etc.); save and restore around the
  import so other modules get the real LocalAgentRunner base class

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-19 22:56:25 +08:00

468 lines
18 KiB
Python

from __future__ import annotations
import os
import tempfile
from types import SimpleNamespace
from unittest.mock import AsyncMock, Mock
import pytest
def _make_ap(logger=None):
ap = SimpleNamespace()
ap.logger = logger or Mock()
ap.persistence_mgr = Mock()
ap.persistence_mgr.execute_async = AsyncMock(return_value=Mock(all=Mock(return_value=[])))
ap.persistence_mgr.serialize_model = Mock(side_effect=lambda cls, row: row)
return ap
def _make_skill_data(
name='test-skill',
instructions='Do something',
package_root='',
entry_file='SKILL.md',
**kwargs,
):
return {
'name': name,
'display_name': kwargs.pop('display_name', name),
'description': kwargs.pop('description', f'Description of {name}'),
'instructions': instructions,
'package_root': package_root,
'entry_file': entry_file,
**kwargs,
}
class TestSkillManagerPackageLoading:
def test_load_skill_file_success(self):
from langbot.pkg.skill.manager import SkillManager
ap = _make_ap()
mgr = SkillManager(ap)
with tempfile.TemporaryDirectory() as tmpdir:
skill_md = os.path.join(tmpdir, 'SKILL.md')
with open(skill_md, 'w', encoding='utf-8') as f:
f.write('---\ndescription: Test skill\n---\n\n# Test Skill\nDo things.')
skill_data = _make_skill_data(package_root=tmpdir)
result = mgr._load_skill_file(skill_data)
assert result is True
assert skill_data['instructions'] == '# Test Skill\nDo things.'
assert skill_data['description'] == 'Test skill'
def test_refresh_skill_from_disk_updates_cached_dict_in_place(self):
from langbot.pkg.skill.manager import SkillManager
ap = _make_ap()
mgr = SkillManager(ap)
with tempfile.TemporaryDirectory() as tmpdir:
skill_md = os.path.join(tmpdir, 'SKILL.md')
with open(skill_md, 'w', encoding='utf-8') as f:
f.write('---\ndescription: First\n---\n\nOriginal instructions')
skill_data = _make_skill_data(name='test-skill', package_root=tmpdir)
assert mgr._load_skill_file(skill_data) is True
mgr.skills['test-skill'] = skill_data
with open(skill_md, 'w', encoding='utf-8') as f:
f.write('---\ndescription: Second\n---\n\nUpdated instructions')
assert mgr.refresh_skill_from_disk('test-skill') is True
assert mgr.skills['test-skill'] is skill_data
assert skill_data['instructions'] == 'Updated instructions'
assert skill_data['description'] == 'Second'
class TestSkillActivationHelper:
"""Skill activation is now Tool-Call based.
The legacy text-marker mechanism (``[ACTIVATE_SKILL: x]`` detection,
``build_activation_prompt_for_skills``, ``remove_activation_marker``,
``prepare_skill_activation``) has been removed. Activation now goes
through ``skill.activation.register_activated_skill``, invoked by the
``activate`` Tool Call.
"""
def test_register_activated_skill_records_known_skill(self):
from langbot.pkg.skill.activation import register_activated_skill
from langbot.pkg.provider.tools.loaders.skill import ACTIVATED_SKILLS_KEY
from langbot.pkg.skill.manager import SkillManager
ap = _make_ap()
mgr = SkillManager(ap)
mgr.skills = {
'primary': _make_skill_data(name='primary', instructions='Primary instructions'),
}
ap.skill_mgr = mgr
query = SimpleNamespace(variables={})
assert register_activated_skill(ap, query, 'primary') is True
assert set(query.variables[ACTIVATED_SKILLS_KEY].keys()) == {'primary'}
assert query.variables[ACTIVATED_SKILLS_KEY]['primary']['name'] == 'primary'
def test_register_activated_skill_rejects_unknown_skill(self):
from langbot.pkg.skill.activation import register_activated_skill
from langbot.pkg.provider.tools.loaders.skill import ACTIVATED_SKILLS_KEY
from langbot.pkg.skill.manager import SkillManager
ap = _make_ap()
mgr = SkillManager(ap)
mgr.skills = {'primary': _make_skill_data(name='primary')}
ap.skill_mgr = mgr
query = SimpleNamespace(variables={})
assert register_activated_skill(ap, query, 'missing') is False
assert ACTIVATED_SKILLS_KEY not in query.variables
def test_register_activated_skill_without_skill_manager_returns_false(self):
from langbot.pkg.skill.activation import register_activated_skill
ap = _make_ap() # no skill_mgr attribute
query = SimpleNamespace(variables={})
assert register_activated_skill(ap, query, 'primary') is False
class TestSkillPathHelpers:
def test_get_visible_skills_filters_by_bound_names(self):
from langbot.pkg.provider.tools.loaders.skill import PIPELINE_BOUND_SKILLS_KEY, get_visible_skills
ap = _make_ap()
ap.skill_mgr = SimpleNamespace(
skills={
'visible': _make_skill_data(name='visible'),
'hidden': _make_skill_data(name='hidden'),
}
)
query = SimpleNamespace(variables={PIPELINE_BOUND_SKILLS_KEY: ['visible']})
result = get_visible_skills(ap, query)
assert list(result.keys()) == ['visible']
def test_resolve_virtual_skill_path_allows_visible_skill_reads(self):
from langbot.pkg.provider.tools.loaders.skill import (
PIPELINE_BOUND_SKILLS_KEY,
resolve_virtual_skill_path,
)
ap = _make_ap()
ap.skill_mgr = SimpleNamespace(skills={'demo': _make_skill_data(name='demo')})
query = SimpleNamespace(variables={PIPELINE_BOUND_SKILLS_KEY: ['demo']})
skill, rewritten = resolve_virtual_skill_path(
ap,
query,
'/workspace/.skills/demo/SKILL.md',
include_visible=True,
include_activated=False,
)
assert skill['name'] == 'demo'
assert rewritten == '/workspace/SKILL.md'
def test_build_skill_session_id_uses_name_based_identifier(self):
from langbot.pkg.provider.tools.loaders.skill import build_skill_session_id
with_launcher = build_skill_session_id(
{'name': 'writer'},
SimpleNamespace(query_id=42, launcher_type='person', launcher_id='123'),
)
fallback = build_skill_session_id({'name': 'writer'}, SimpleNamespace(query_id=99))
assert with_launcher == 'skill-person_123-writer'
assert fallback == 'skill-99-writer'
def test_should_prepare_skill_python_env_detects_manifests_and_venv(self):
from langbot.pkg.provider.tools.loaders.skill import should_prepare_skill_python_env
with tempfile.TemporaryDirectory() as tmpdir:
assert should_prepare_skill_python_env(tmpdir) is False
with open(os.path.join(tmpdir, 'requirements.txt'), 'w', encoding='utf-8') as f:
f.write('requests==2.32.0\n')
assert should_prepare_skill_python_env(tmpdir) is True
with tempfile.TemporaryDirectory() as tmpdir:
os.makedirs(os.path.join(tmpdir, '.venv'))
assert should_prepare_skill_python_env(tmpdir) is True
def test_wrap_skill_command_with_python_env_bootstraps_then_runs_command(self):
from langbot.pkg.provider.tools.loaders.skill import wrap_skill_command_with_python_env
command = wrap_skill_command_with_python_env('python scripts/run.py')
assert 'python -m venv "$_LB_VENV_DIR"' in command
assert 'export VIRTUAL_ENV="$_LB_VENV_DIR"' in command
assert command.rstrip().endswith('python scripts/run.py')
class TestSkillToolLoader:
"""The skill tool surface is now just ``activate`` + ``register_skill``.
The legacy CRUD authoring tools (create/list/get/update/delete/
import_skill_from_directory/reload_skills) were removed; skill CRUD is
handled by SkillService via the HTTP API / web UI instead.
"""
@pytest.mark.asyncio
async def test_activate_returns_instructions_and_registers_skill(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import (
ACTIVATE_SKILL_TOOL_NAME,
SkillToolLoader,
)
from langbot.pkg.provider.tools.loaders.skill import ACTIVATED_SKILLS_KEY
skill = _make_skill_data(name='demo', package_root='/data/skills/demo', instructions='Step 1')
ap = _make_ap()
ap.skill_mgr = SimpleNamespace(
skills={'demo': skill},
get_skill_by_name=lambda name: skill if name == 'demo' else None,
)
loader = SkillToolLoader(ap)
query = SimpleNamespace(variables={})
result = await loader.invoke_tool(ACTIVATE_SKILL_TOOL_NAME, {'skill_name': 'demo'}, query)
assert result['activated'] is True
assert result['skill_name'] == 'demo'
assert result['mount_path'] == '/workspace/.skills/demo'
assert 'Step 1' in result['content']
assert set(query.variables[ACTIVATED_SKILLS_KEY].keys()) == {'demo'}
@pytest.mark.asyncio
async def test_activate_unknown_skill_raises(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import (
ACTIVATE_SKILL_TOOL_NAME,
SkillToolLoader,
)
ap = _make_ap()
ap.skill_mgr = SimpleNamespace(
skills={'demo': _make_skill_data(name='demo')},
get_skill_by_name=lambda name: None,
)
loader = SkillToolLoader(ap)
with pytest.raises(ValueError, match='not found'):
await loader.invoke_tool(
ACTIVATE_SKILL_TOOL_NAME,
{'skill_name': 'ghost'},
SimpleNamespace(variables={}),
)
@pytest.mark.asyncio
async def test_register_skill_scans_directory_and_creates_skill(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import (
REGISTER_SKILL_TOOL_NAME,
SkillToolLoader,
)
with tempfile.TemporaryDirectory() as tmpdir:
repo_dir = os.path.join(tmpdir, 'repo')
os.makedirs(repo_dir)
ap = _make_ap()
ap.box_service = SimpleNamespace(default_workspace=tmpdir, available=True)
ap.skill_service = SimpleNamespace(
scan_directory_async=AsyncMock(
return_value={
'name': 'cloned-skill',
'display_name': 'Cloned Skill',
'description': 'Imported from clone',
'instructions': 'Do work',
}
),
create_skill=AsyncMock(
return_value=_make_skill_data(name='cloned-skill', package_root=os.path.realpath(repo_dir))
),
)
loader = SkillToolLoader(ap)
result = await loader.invoke_tool(
REGISTER_SKILL_TOOL_NAME,
{'path': '/workspace/repo'},
SimpleNamespace(),
)
ap.skill_service.scan_directory_async.assert_awaited_once_with(os.path.realpath(repo_dir))
ap.skill_service.create_skill.assert_awaited_once_with(
{
'name': 'cloned-skill',
'display_name': 'Cloned Skill',
'description': 'Imported from clone',
'instructions': 'Do work',
'package_root': os.path.realpath(repo_dir),
}
)
assert result['registered'] is True
assert result['skill_name'] == 'cloned-skill'
assert result['source_path'] == '/workspace/repo'
@pytest.mark.asyncio
async def test_register_skill_rejects_workspace_escape(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import (
REGISTER_SKILL_TOOL_NAME,
SkillToolLoader,
)
with tempfile.TemporaryDirectory() as tmpdir:
ap = _make_ap()
ap.box_service = SimpleNamespace(default_workspace=tmpdir, available=True)
ap.skill_service = SimpleNamespace(scan_directory_async=AsyncMock(), create_skill=AsyncMock())
loader = SkillToolLoader(ap)
with pytest.raises(ValueError, match='escapes the workspace boundary'):
await loader.invoke_tool(
REGISTER_SKILL_TOOL_NAME,
{'path': '/workspace/../../etc'},
SimpleNamespace(),
)
@pytest.mark.asyncio
async def test_register_skill_requires_skill_service(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import (
REGISTER_SKILL_TOOL_NAME,
SkillToolLoader,
)
with tempfile.TemporaryDirectory() as tmpdir:
ap = _make_ap() # no skill_service attribute
ap.box_service = SimpleNamespace(default_workspace=tmpdir, available=True)
loader = SkillToolLoader(ap)
with pytest.raises(ValueError, match='Skill service not available'):
await loader.invoke_tool(
REGISTER_SKILL_TOOL_NAME,
{'path': '/workspace/foo'},
SimpleNamespace(),
)
@pytest.mark.asyncio
async def test_tools_hidden_when_sandbox_backend_unavailable(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import SkillToolLoader
ap = _make_ap()
ap.skill_mgr = SimpleNamespace(skills={})
ap.box_service = SimpleNamespace(
available=True,
get_status=AsyncMock(return_value={'backend': {'available': False}}),
)
loader = SkillToolLoader(ap)
await loader.initialize()
assert await loader.get_tools() == []
assert await loader.has_tool('activate') is False
assert await loader.has_tool('register_skill') is False
@pytest.mark.asyncio
async def test_tools_exposed_when_sandbox_backend_available(self):
from langbot.pkg.provider.tools.loaders.skill_authoring import SkillToolLoader
ap = _make_ap()
ap.skill_mgr = SimpleNamespace(skills={'demo': _make_skill_data(name='demo')})
ap.box_service = SimpleNamespace(
available=True,
get_status=AsyncMock(return_value={'backend': {'available': True}}),
)
loader = SkillToolLoader(ap)
await loader.initialize()
tools = await loader.get_tools()
assert sorted(tool.name for tool in tools) == ['activate', 'register_skill']
assert await loader.has_tool('activate') is True
assert await loader.has_tool('register_skill') is True
class TestNativeToolLoaderSkillPaths:
@pytest.mark.asyncio
async def test_read_visible_skill_file(self):
from langbot.pkg.provider.tools.loaders.native import NativeToolLoader
from langbot.pkg.provider.tools.loaders.skill import PIPELINE_BOUND_SKILLS_KEY
with tempfile.TemporaryDirectory() as tmpdir:
skill_md = os.path.join(tmpdir, 'SKILL.md')
with open(skill_md, 'w', encoding='utf-8') as f:
f.write('demo instructions')
ap = _make_ap()
ap.box_service = SimpleNamespace(available=True, default_workspace=tmpdir)
ap.skill_mgr = SimpleNamespace(skills={'demo': _make_skill_data(name='demo', package_root=tmpdir)})
loader = NativeToolLoader(ap)
result = await loader.invoke_tool(
'read',
{'path': '/workspace/.skills/demo/SKILL.md'},
SimpleNamespace(query_id='q1', variables={PIPELINE_BOUND_SKILLS_KEY: ['demo']}),
)
assert result == {'ok': True, 'content': 'demo instructions'}
@pytest.mark.asyncio
async def test_exec_in_activated_skill_mount_rewrites_command_and_refreshes(self):
from langbot.pkg.provider.tools.loaders.native import NativeToolLoader
from langbot.pkg.provider.tools.loaders.skill import register_activated_skill
with tempfile.TemporaryDirectory() as tmpdir:
ap = _make_ap()
ap.box_service = SimpleNamespace(
available=True,
default_workspace=tmpdir,
execute_tool=AsyncMock(return_value={'ok': True}),
)
ap.skill_mgr = SimpleNamespace(refresh_skill_from_disk=Mock())
loader = NativeToolLoader(ap)
query = SimpleNamespace(query_id='q1', launcher_type='person', launcher_id='123', variables={})
register_activated_skill(query, _make_skill_data(name='demo', package_root=tmpdir))
result = await loader.invoke_tool(
'exec',
{
'command': 'python /workspace/.skills/demo/scripts/run.py',
'workdir': '/workspace/.skills/demo',
},
query,
)
assert result == {'ok': True}
tool_parameters = ap.box_service.execute_tool.await_args.args[0]
assert tool_parameters['command'] == 'python /workspace/.skills/demo/scripts/run.py'
assert tool_parameters['workdir'] == '/workspace/.skills/demo'
ap.skill_mgr.refresh_skill_from_disk.assert_called_once_with('demo')
@pytest.mark.asyncio
async def test_write_requires_skill_activation(self):
from langbot.pkg.provider.tools.loaders.native import NativeToolLoader
from langbot.pkg.provider.tools.loaders.skill import PIPELINE_BOUND_SKILLS_KEY
with tempfile.TemporaryDirectory() as tmpdir:
ap = _make_ap()
ap.box_service = SimpleNamespace(available=True, default_workspace=tmpdir)
ap.skill_mgr = SimpleNamespace(skills={'demo': _make_skill_data(name='demo', package_root=tmpdir)})
loader = NativeToolLoader(ap)
query = SimpleNamespace(query_id='q1', variables={PIPELINE_BOUND_SKILLS_KEY: ['demo']})
with pytest.raises(ValueError, match='Skill "demo" is not available at this path'):
await loader.invoke_tool(
'write',
{'path': '/workspace/.skills/demo/notes.txt', 'content': 'hi'},
query,
)