feat(tools): 增强工具注册表与内置工具能力
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@@ -1,40 +1,70 @@
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from collections.abc import Callable
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from .tools.builtin_tools import BUILTIN_TOOLS
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def run_declared_tools(tool_names: list[str], user_input: str) -> list[dict]:
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results = []
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for tool_name in tool_names:
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tool = BUILTIN_TOOLS.get(tool_name)
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class ToolRegistry:
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"""
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统一管理工具注册、查询和执行。
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设计目标:
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- 让 Orchestrator 只关心“声明了哪些工具”,不关心工具如何存放。
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- 固化统一的工具调用结果结构,便于页面展示和审计日志保存。
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- 后续新增业务工具时,只需要注册函数,不必改调用协议。
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"""
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def __init__(self, initial_tools: dict[str, Callable] | None = None):
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self._tools: dict[str, Callable] = dict(initial_tools or {})
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def register(self, tool_name: str, tool_func: Callable) -> None:
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"""注册一个可通过名称调用的工具函数。"""
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self._tools[tool_name] = tool_func
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def get(self, tool_name: str) -> Callable | None:
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"""按名称返回工具函数;未注册时返回 None。"""
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return self._tools.get(tool_name)
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def run(self, tool_name: str, **kwargs) -> dict:
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"""
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执行单个工具,并返回统一结果结构。
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统一返回值是审计日志、页面展示和后续 Agent 编排共享的协议。
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即使工具不存在或执行失败,也返回可消费的失败结果,而不是抛异常。
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"""
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tool = self.get(tool_name)
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if tool is None:
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results.append(
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{
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"tool_name": tool_name,
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"success": False,
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"arguments": {"user_input": user_input},
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"result": {},
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"error": "工具未注册",
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}
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)
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continue
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return {
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"tool_name": tool_name,
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"success": False,
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"arguments": kwargs,
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"result": {},
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"error": "工具未注册",
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}
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try:
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result = tool(user_input=user_input)
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results.append(
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{
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"tool_name": tool_name,
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"success": True,
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"arguments": {"user_input": user_input},
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"result": result,
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"error": "",
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}
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)
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return {
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"tool_name": tool_name,
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"success": True,
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"arguments": kwargs,
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"result": tool(**kwargs),
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"error": "",
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}
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except Exception as exc:
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results.append(
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{
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"tool_name": tool_name,
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"success": False,
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"arguments": {"user_input": user_input},
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"result": {},
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"error": str(exc),
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}
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)
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return results
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return {
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"tool_name": tool_name,
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"success": False,
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"arguments": kwargs,
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"result": {},
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"error": str(exc),
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}
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# 默认注册表承载项目内置工具,便于当前 V1 直接复用。
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DEFAULT_TOOL_REGISTRY = ToolRegistry(BUILTIN_TOOLS)
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def run_declared_tools(tool_names: list[str], user_input: str) -> list[dict]:
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"""按场景声明顺序执行工具,保证结果顺序与配置顺序一致。"""
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return [
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DEFAULT_TOOL_REGISTRY.run(tool_name, user_input=user_input)
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for tool_name in tool_names
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]
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@@ -1,8 +1,47 @@
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import re
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def calculate_rate(user_input: str) -> dict:
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return {"rate": 1.0, "note": "模拟比例计算结果"}
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"""
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从自然语言中提取两个数值并计算比例。
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V1 目标不是构建复杂公式引擎,而是提供一个可演示的“业务工具”示例:
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只要输入中出现两个数字,就将其解释为“已完成值 / 总数”。
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"""
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numbers = [float(item) for item in re.findall(r"\d+(?:\.\d+)?", user_input)]
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if len(numbers) < 2:
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return {
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"success": False,
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"rate": 0.0,
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"numerator": 0.0,
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"denominator": 0.0,
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"note": "未能从输入中提取两个数字,无法计算比例。",
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}
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numerator, denominator = numbers[0], numbers[1]
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if denominator == 0:
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return {
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"success": False,
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"rate": 0.0,
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"numerator": numerator,
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"denominator": denominator,
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"note": "分母为 0,无法计算比例。",
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}
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return {
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"success": True,
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"numerator": numerator,
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"denominator": denominator,
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"rate": round(numerator / denominator, 4),
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"note": "已按输入中的前两个数字完成比例计算。",
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}
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def query_demo_records(user_input: str) -> dict:
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"""
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查询示例业务记录。
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该工具依赖 Audit 模块中的 DemoBusinessRecord 演示表,用于证明
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“场景 + 结构化数据 + 工具调用”可以组成更可信的业务 Agent。
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"""
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try:
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from apps.audit.models import DemoBusinessRecord
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except Exception as exc:
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@@ -32,11 +71,49 @@ def query_demo_records(user_input: str) -> dict:
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def check_required_fields(user_input: str) -> dict:
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return {"missing_fields": [], "note": "模拟必填项检查结果"}
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"""
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检查输入中声明的必填项是否全部出现。
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约定格式示例:
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“请检查必填项:合同编号、供应商、金额。当前只提供了合同编号和金额。”
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"""
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required_match = re.search(r"必填项[::](.+?)(?:。|\.)", user_input)
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provided_match = re.search(r"(?:当前|已|仅)?提供了(.+?)(?:。|\.)", user_input)
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required_fields = _split_cn_items(required_match.group(1) if required_match else "")
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provided_fields = set(_split_cn_items(provided_match.group(1) if provided_match else ""))
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missing_fields = [field for field in required_fields if field not in provided_fields]
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return {
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"required_fields": required_fields,
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"provided_fields": list(provided_fields),
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"missing_fields": missing_fields,
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"note": "已根据输入中的“必填项/提供了”描述完成检查。",
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}
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def generate_action_items(user_input: str) -> dict:
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return {"items": [f"围绕问题继续核实:{user_input}"]}
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"""
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生成最小可执行行动项。
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该工具主要用于演示“模型回答之外,还可以得到结构化待办建议”。
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"""
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return {
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"items": [
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"先确认问题背景和适用场景。",
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f"围绕当前问题继续核实:{user_input}",
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"根据知识库和审计结果安排下一步处理动作。",
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]
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}
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def _split_cn_items(raw_text: str) -> list[str]:
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"""将中文顿号、逗号和连接词分隔的字段串切分为列表。"""
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normalized = (
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raw_text.replace("和", "、")
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.replace("以及", "、")
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.replace(",", "、")
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.replace(",", "、")
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)
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return [item.strip(" 。.") for item in normalized.split("、") if item.strip(" 。.")]
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BUILTIN_TOOLS = {
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54
tests/test_tool_registry.py
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54
tests/test_tool_registry.py
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@@ -0,0 +1,54 @@
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from agent_core.tool_registry import ToolRegistry, run_declared_tools
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from agent_core.tools.builtin_tools import calculate_rate, check_required_fields
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def test_tool_registry_register_get_and_run():
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registry = ToolRegistry()
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def hello_tool(user_input: str) -> dict:
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return {"echo": user_input}
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registry.register("hello", hello_tool)
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assert registry.get("hello") is hello_tool
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assert registry.run("hello", user_input="demo") == {
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"tool_name": "hello",
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"success": True,
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"arguments": {"user_input": "demo"},
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"result": {"echo": "demo"},
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"error": "",
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}
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def test_tool_registry_returns_failed_result_for_missing_tool():
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registry = ToolRegistry()
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result = registry.run("missing", user_input="demo")
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assert result["tool_name"] == "missing"
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assert result["success"] is False
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assert result["error"] == "工具未注册"
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def test_run_declared_tools_executes_multiple_tools_in_order():
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results = run_declared_tools(["generate_action_items", "missing_tool"], "请生成行动项")
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assert [item["tool_name"] for item in results] == ["generate_action_items", "missing_tool"]
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assert results[0]["success"] is True
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assert results[1]["success"] is False
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def test_calculate_rate_extracts_fraction_like_numbers():
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result = calculate_rate("产线合格率,已完成 18 件,总数 24 件")
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assert result["success"] is True
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assert result["numerator"] == 18.0
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assert result["denominator"] == 24.0
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assert result["rate"] == 0.75
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def test_check_required_fields_reports_missing_fields():
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result = check_required_fields("请检查必填项:合同编号、供应商、金额。当前只提供了合同编号和金额。")
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assert "供应商" in result["missing_fields"]
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assert "合同编号" not in result["missing_fields"]
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