Download tool_using/tool_register.py from kakuguo/ChatGLM3: direct link, hf CLI and curl.
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- Download file 3.57 kB
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https://huggingface.co/spaces/kakuguo/ChatGLM3/resolve/main/tool_using/tool_register.py
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hf download hf://spaces/kakuguo/ChatGLM3/tool_using/tool_register.py
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curl -L -o tool_register.py https://huggingface.co/spaces/kakuguo/ChatGLM3/resolve/main/tool_using/tool_register.py
3.57 kB
| import inspect | |
| import traceback | |
| from copy import deepcopy | |
| from pprint import pformat | |
| from types import GenericAlias | |
| from typing import get_origin, Annotated | |
| _TOOL_HOOKS = {} | |
| _TOOL_DESCRIPTIONS = {} | |
| def register_tool(func: callable): | |
| tool_name = func.__name__ | |
| tool_description = inspect.getdoc(func).strip() | |
| python_params = inspect.signature(func).parameters | |
| tool_params = [] | |
| for name, param in python_params.items(): | |
| annotation = param.annotation | |
| if annotation is inspect.Parameter.empty: | |
| raise TypeError(f"Parameter `{name}` missing type annotation") | |
| if get_origin(annotation) != Annotated: | |
| raise TypeError(f"Annotation type for `{name}` must be typing.Annotated") | |
| typ, (description, required) = annotation.__origin__, annotation.__metadata__ | |
| typ: str = str(typ) if isinstance(typ, GenericAlias) else typ.__name__ | |
| if not isinstance(description, str): | |
| raise TypeError(f"Description for `{name}` must be a string") | |
| if not isinstance(required, bool): | |
| raise TypeError(f"Required for `{name}` must be a bool") | |
| tool_params.append({ | |
| "name": name, | |
| "description": description, | |
| "type": typ, | |
| "required": required | |
| }) | |
| tool_def = { | |
| "name": tool_name, | |
| "description": tool_description, | |
| "params": tool_params | |
| } | |
| print("[registered tool] " + pformat(tool_def)) | |
| _TOOL_HOOKS[tool_name] = func | |
| _TOOL_DESCRIPTIONS[tool_name] = tool_def | |
| return func | |
| def dispatch_tool(tool_name: str, tool_params: dict) -> str: | |
| if tool_name not in _TOOL_HOOKS: | |
| return f"Tool `{tool_name}` not found. Please use a provided tool." | |
| tool_call = _TOOL_HOOKS[tool_name] | |
| try: | |
| ret = tool_call(**tool_params) | |
| except: | |
| ret = traceback.format_exc() | |
| return str(ret) | |
| def get_tools() -> dict: | |
| return deepcopy(_TOOL_DESCRIPTIONS) | |
| # Tool Definitions | |
| def random_number_generator( | |
| seed: Annotated[int, 'The random seed used by the generator', True], | |
| range: Annotated[tuple[int, int], 'The range of the generated numbers', True], | |
| ) -> int: | |
| """ | |
| Generates a random number x, s.t. range[0] <= x < range[1] | |
| """ | |
| if not isinstance(seed, int): | |
| raise TypeError("Seed must be an integer") | |
| if not isinstance(range, tuple): | |
| raise TypeError("Range must be a tuple") | |
| if not isinstance(range[0], int) or not isinstance(range[1], int): | |
| raise TypeError("Range must be a tuple of integers") | |
| import random | |
| return random.Random(seed).randint(*range) | |
| def get_weather( | |
| city_name: Annotated[str, 'The name of the city to be queried', True], | |
| ) -> str: | |
| """ | |
| Get the current weather for `city_name` | |
| """ | |
| if not isinstance(city_name, str): | |
| raise TypeError("City name must be a string") | |
| key_selection = { | |
| "current_condition": ["temp_C", "FeelsLikeC", "humidity", "weatherDesc", "observation_time"], | |
| } | |
| import requests | |
| try: | |
| resp = requests.get(f"https://wttr.in/{city_name}?format=j1") | |
| resp.raise_for_status() | |
| resp = resp.json() | |
| ret = {k: {_v: resp[k][0][_v] for _v in v} for k, v in key_selection.items()} | |
| except: | |
| import traceback | |
| ret = "Error encountered while fetching weather data!\n" + traceback.format_exc() | |
| return str(ret) | |
| if __name__ == "__main__": | |
| print(dispatch_tool("get_weather", {"city_name": "beijing"})) | |
| print(get_tools()) | |