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測試重構後的工具註冊系統
驗證 Pydantic Schema 自動生成和 OpenAI Function Calling 格式
"""
import pytest
import sys
import os
# 添加專案根目錄到 path
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from core.tool_schema import (
ToolSchema,
ToolMetadata,
ToolSchemaRegistry,
extract_schema_from_mcp_tool,
)
from core.tool_registry import ToolRegistry, ToolDefinition
class TestToolSchema:
"""測試 ToolSchema 類別"""
def test_to_openai_tool_basic(self):
"""測試基本的 OpenAI 工具格式轉換"""
schema = ToolSchema(
metadata=ToolMetadata(
name="test_tool",
description="測試工具",
category="test",
keywords=["測試", "test"],
),
input_schema={
"type": "object",
"properties": {
"query": {"type": "string", "description": "查詢字串"},
"limit": {"type": "integer", "default": 10},
},
"required": ["query"],
},
)
openai_tool = schema.to_openai_tool(strict=True)
assert openai_tool["type"] == "function"
assert openai_tool["function"]["name"] == "test_tool"
assert "測試工具" in openai_tool["function"]["description"]
assert openai_tool["function"]["strict"] is True
# 檢查 strict mode 要求
params = openai_tool["function"]["parameters"]
assert params["additionalProperties"] is False
assert "query" in params["required"]
assert "limit" in params["required"]
def test_strict_schema_applies_nested_object_rules(self):
"""測試 strict schema 會遞迴處理 nested object"""
schema = ToolSchema(
metadata=ToolMetadata(name="nested_tool", description="Nested tool"),
input_schema={
"type": "object",
"properties": {
"options": {
"type": "object",
"properties": {
"mode": {"type": "string"},
"limit": {"type": "integer", "default": 5},
},
"required": ["mode"],
}
},
"required": ["options"],
},
)
params = schema.to_openai_tool(strict=True)["function"]["parameters"]
assert params["additionalProperties"] is False
assert params["required"] == ["options"]
assert params["properties"]["options"]["additionalProperties"] is False
assert params["properties"]["options"]["required"] == ["mode", "limit"]
def test_rich_description(self):
"""測試豐富描述生成"""
schema = ToolSchema(
metadata=ToolMetadata(
name="weather",
description="查詢天氣",
keywords=["天氣", "氣溫", "下雨"],
examples=["台北天氣", "明天會下雨嗎"],
),
input_schema={"type": "object", "properties": {}},
)
openai_tool = schema.to_openai_tool()
desc = openai_tool["function"]["description"]
assert "查詢天氣" in desc
assert "天氣" in desc
assert "台北天氣" in desc
def test_get_summary(self):
"""測試工具摘要"""
schema = ToolSchema(
metadata=ToolMetadata(
name="bus_query",
description="查詢公車到站時間",
category="transportation",
keywords=["公車", "bus"],
),
input_schema={
"type": "object",
"properties": {
"route": {"type": "string"},
"stop": {"type": "string"},
},
},
)
summary = schema.get_summary()
assert summary["name"] == "bus_query"
assert summary["category"] == "transportation"
assert "route" in summary["params"]
assert "stop" in summary["params"]
def test_schema_contract_rejects_missing_required_property(self):
"""測試 schema contract 會拒絕不存在的 required 欄位"""
schema = ToolSchema(
metadata=ToolMetadata(name="broken", description="Broken"),
input_schema={
"type": "object",
"properties": {
"query": {"type": "string"},
},
"required": ["missing"],
},
)
issues = schema.validate_schema_contract()
assert any("missing" in issue for issue in issues)
class TestToolSchemaRegistry:
"""測試 ToolSchemaRegistry 類別"""
def test_register_and_get(self):
"""測試註冊和取得"""
registry = ToolSchemaRegistry()
schema = ToolSchema(
metadata=ToolMetadata(name="test", description="Test"),
input_schema={"type": "object", "properties": {}},
)
registry.register(schema)
retrieved = registry.get("test")
assert retrieved is not None
assert retrieved.metadata.name == "test"
def test_register_rejects_invalid_contract(self):
"""測試註冊中心拒絕壞掉的 schema contract"""
registry = ToolSchemaRegistry()
schema = ToolSchema(
metadata=ToolMetadata(name="bad", description="Bad"),
input_schema={
"type": "object",
"properties": {},
"required": ["query"],
},
)
with pytest.raises(ValueError):
registry.register(schema)
def test_disable_enable(self):
"""測試停用和啟用"""
registry = ToolSchemaRegistry()
schema = ToolSchema(
metadata=ToolMetadata(name="toggleable", description="Test"),
input_schema={"type": "object", "properties": {}},
)
registry.register(schema)
# 停用
registry.disable("toggleable")
assert registry.get("toggleable") is None
# 啟用
registry.enable("toggleable")
assert registry.get("toggleable") is not None
def test_get_openai_tools_filtering(self):
"""測試 OpenAI 工具列表過濾"""
registry = ToolSchemaRegistry()
# 註冊不同分類的工具
registry.register(ToolSchema(
metadata=ToolMetadata(name="weather", description="天氣", category="weather"),
input_schema={"type": "object", "properties": {}},
))
registry.register(ToolSchema(
metadata=ToolMetadata(name="bus", description="公車", category="transportation"),
input_schema={"type": "object", "properties": {}},
))
registry.register(ToolSchema(
metadata=ToolMetadata(
name="geocode",
description="地理編碼",
category="location",
requires_location=True,
),
input_schema={"type": "object", "properties": {}},
))
# 測試分類過濾
weather_tools = registry.get_openai_tools(categories=["weather"])
assert len(weather_tools) == 1
assert weather_tools[0]["function"]["name"] == "weather"
# 測試位置過濾
no_location_tools = registry.get_openai_tools(include_location_tools=False)
tool_names = [t["function"]["name"] for t in no_location_tools]
assert "geocode" not in tool_names
def test_get_stats(self):
"""測試統計資訊"""
registry = ToolSchemaRegistry()
registry.register(ToolSchema(
metadata=ToolMetadata(name="t1", description="", category="a"),
input_schema={"type": "object", "properties": {}},
))
registry.register(ToolSchema(
metadata=ToolMetadata(name="t2", description="", category="a"),
input_schema={"type": "object", "properties": {}},
))
registry.register(ToolSchema(
metadata=ToolMetadata(name="t3", description="", category="b"),
input_schema={"type": "object", "properties": {}},
))
registry.disable("t1")
stats = registry.get_stats()
assert stats["total"] == 3
assert stats["disabled"] == 1
assert stats["active"] == 2
assert stats["categories"]["a"] == 2
assert stats["categories"]["b"] == 1
class TestToolRegistry:
"""測試重構後的 ToolRegistry 類別"""
def test_register_legacy(self):
"""測試舊版註冊方式（向後兼容）"""
# 使用獨立的 schema registry 避免全域污染
from core.tool_schema import ToolSchemaRegistry
isolated_schema_registry = ToolSchemaRegistry()
registry = ToolRegistry()
registry._schema_registry = isolated_schema_registry
registry.register(
name="legacy_tool",
description="舊版工具",
parameters={"type": "object", "properties": {"x": {"type": "string"}}},
category="test",
keywords=["legacy"],
)
tool = registry.get_tool("legacy_tool")
assert tool is not None
assert tool.name == "legacy_tool"
assert tool.keywords == ["legacy"]
def test_get_openai_tools_strict(self):
"""測試 strict mode 的 OpenAI 工具格式"""
# 使用獨立的 schema registry 避免全域污染
from core.tool_schema import ToolSchemaRegistry
isolated_schema_registry = ToolSchemaRegistry()
registry = ToolRegistry()
registry._schema_registry = isolated_schema_registry
registry.register(
name="strict_tool",
description="Strict 工具",
parameters={
"type": "object",
"properties": {
"required_param": {"type": "string"},
"optional_param": {"type": "integer", "default": 5},
},
"required": ["required_param"],
},
)
tools = registry.get_openai_tools(strict=True)
assert len(tools) == 1
tool = tools[0]
# 檢查 strict mode 格式
assert tool["function"]["strict"] is True
params = tool["function"]["parameters"]
assert params["additionalProperties"] is False
def test_get_summaries(self):
"""測試取得工具摘要"""
# 使用獨立的 schema registry 避免全域污染
from core.tool_schema import ToolSchemaRegistry
isolated_schema_registry = ToolSchemaRegistry()
registry = ToolRegistry()
registry._schema_registry = isolated_schema_registry
registry.register(
name="summary_tool",
description="摘要測試工具",
parameters={"type": "object", "properties": {"a": {"type": "string"}}},
keywords=["摘要", "test"],
)
summaries = registry.get_summaries()
assert len(summaries) == 1
assert summaries[0]["name"] == "summary_tool"
assert "摘要" in summaries[0]["keywords"]
class TestExtractSchemaFromMCPTool:
"""測試從 MCPTool 類別提取 Schema"""
def test_extract_from_mock_tool(self):
"""測試從模擬的 MCPTool 類別提取"""
class MockTool:
NAME = "mock_tool"
DESCRIPTION = "模擬工具"
CATEGORY = "test"
KEYWORDS = ["mock", "test"]
USAGE_TIPS = ["使用範例"]
@classmethod
def get_input_schema(cls):
return {
"type": "object",
"properties": {
"param1": {"type": "string"},
},
"required": ["param1"],
}
@classmethod
def get_output_schema(cls):
return {"type": "object", "properties": {"result": {"type": "string"}}}
@classmethod
async def execute(cls, arguments):
return {"result": "ok"}
schema = extract_schema_from_mcp_tool(MockTool)
assert schema is not None
assert schema.metadata.name == "mock_tool"
assert schema.metadata.description == "模擬工具"
assert schema.metadata.category == "test"
assert "mock" in schema.metadata.keywords
assert "param1" in schema.input_schema["properties"]
if __name__ == "__main__":
pytest.main([__file__, "-v"])
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