Files
beaver_project/app-instance/backend/tests/unit/test_tool_assembler.py
steven_li 30ab74ffb2 feat(engine): 添加MCP连接管理和工具集成功能
- 集成MCP连接管理器,支持MCP服务器连接
- 添加多种内置工具:ClarifyTool、CronTool、DelegateTool、ExecuteCodeTool、
  PatchFileTool、ProcessTool、SendMessageTool、SpawnTool、TerminalTool、
  TodoTool、WebFetchTool、WebSearchTool、WriteFileTool等
- 实现工具注册和装配功能
- 添加技能选择上下文参数
- 支持思考模式控制参数thinking_enabled

feat(coordinator): 重构任务执行计划器参数命名

- 将learning_candidate_enabled重命名为allow_candidate_generation
- 更新TeamGraphScheduler中的参数传递
- 修改LocalAgentRunner中的相关参数处理
- 更新README文档中的相应描述

refactor(context): 标准化工具调用参数格式

- 添加_json导入用于参数序列化
- 实现_provider_tool_calls方法标准化OpenAI兼容的工具调用载荷
- 修复工具调用中参数非字符串类型的序列化问题

refactor(session): 优化消息历史记录过滤逻辑

- 修改get_messages_as_conversation为基于运行状态过滤消息
- 排除未完成、失败或错误结束的运行记录
- 改进对话历史的可见性控制机制

fix(store): 修复FTS索引重建逻辑

- 添加异常处理防止FTS索引创建失败
- 实现_rebuild_fts_index方法重新构建全文搜索索引
- 优化索引触发器和表的维护流程
2026-05-14 09:43:48 +08:00

149 lines
4.7 KiB
Python

from __future__ import annotations
import asyncio
from pathlib import Path
import subprocess
import sys
from types import SimpleNamespace
from beaver.engine.context import SkillContext
from beaver.foundation.embedding import EmbeddingRetriever
from beaver.skills.catalog.loader import SkillsLoader
from beaver.tools import BaseTool, ToolAssembler, ToolContext, ToolExecutor, ToolRegistry, ToolResult, ToolSpec
class DummyTool(BaseTool):
def __init__(
self,
name: str,
*,
description: str | None = None,
toolset: str = "test",
always_available: bool = False,
) -> None:
self._spec = ToolSpec(
name=name,
description=description or name,
input_schema={"type": "object", "properties": {}},
toolset=toolset,
always_available=always_available,
)
@property
def spec(self) -> ToolSpec:
return self._spec
async def invoke(self, arguments: dict, context: ToolContext) -> ToolResult:
return ToolResult(success=True, content="ok", tool_name=self.spec.name)
class StaticRetriever:
async def retrieve(self, **kwargs):
candidates = kwargs["candidates"]
top_k = kwargs["top_k"]
preferred = ["search_files", "echo"]
ordered = sorted(
candidates,
key=lambda item: preferred.index(item["name"]) if item["name"] in preferred else len(preferred),
)
return ordered[:top_k]
def test_tool_spec_exports_mcp_and_provider_schema() -> None:
spec = ToolSpec(
name="read_file",
description="Read a file",
input_schema={"type": "object", "properties": {"path": {"type": "string"}}},
toolset="file",
)
assert spec.to_mcp_descriptor() == {
"name": "read_file",
"description": "Read a file",
"inputSchema": {"type": "object", "properties": {"path": {"type": "string"}}},
}
assert spec.to_provider_schema()["function"]["parameters"] == spec.input_schema
def test_tool_assembler_merges_always_skill_hints_and_embedding(tmp_path: Path) -> None:
skill_dir = tmp_path / "skills" / "docker-debug"
skill_dir.mkdir(parents=True)
(skill_dir / "SKILL.md").write_text(
"""---
name: docker-debug
description: Debug Docker issues.
tools:
- terminal
---
# Docker Debug
""",
encoding="utf-8",
)
registry = ToolRegistry()
registry.register(DummyTool("memory", toolset="memory", always_available=True))
registry.register(DummyTool("terminal", toolset="shell"))
registry.register(DummyTool("search_files", toolset="file"))
registry.register(DummyTool("echo", toolset="debug"))
assembler = ToolAssembler(retriever=StaticRetriever())
loader = SkillsLoader(tmp_path)
selected = asyncio.run(
assembler.assemble(
task_description="排查 Docker 容器日志",
registry=registry,
skills_loader=loader,
activated_skills=[SkillContext(name="docker-debug", content="")],
top_k=1,
)
)
assert [spec.name for spec in selected] == ["memory", "terminal", "search_files"]
def test_embedding_fallback_can_return_all_or_top_k() -> None:
candidates = [{"name": f"tool_{index}", "description": "", "input_schema": "{}"} for index in range(3)]
retriever = EmbeddingRetriever(api_key_env="MISSING_EMBEDDING_KEY", api_base_env="MISSING_EMBEDDING_BASE")
all_candidates = asyncio.run(
retriever.retrieve(query="x", candidates=candidates, top_k=1, fallback_top_k=None)
)
top_candidate = asyncio.run(
retriever.retrieve(query="x", candidates=candidates, top_k=1, fallback_top_k=1)
)
assert [item["name"] for item in all_candidates] == ["tool_0", "tool_1", "tool_2"]
assert [item["name"] for item in top_candidate] == ["tool_0"]
def test_beaver_tools_import_does_not_load_provider_stack_with_socks_proxy() -> None:
code = (
"import beaver.tools\n"
"from beaver.skills.catalog.loader import SkillsLoader\n"
"print('ok')"
)
result = subprocess.run(
[sys.executable, "-c", code],
check=False,
capture_output=True,
text=True,
env={
"PYTHONPATH": str(Path(__file__).resolve().parents[2]),
"HTTP_PROXY": "socks://127.0.0.1:7897/",
"HTTPS_PROXY": "socks://127.0.0.1:7897/",
},
)
assert result.returncode == 0, result.stderr
assert result.stdout.strip() == "ok"
def test_tool_executor_parses_object_tool_call_string_arguments() -> None:
tool_call = SimpleNamespace(name="echo", arguments='{"text": "hello"}')
name, arguments = ToolExecutor._normalize_tool_call(tool_call)
assert name == "echo"
assert arguments == {"text": "hello"}