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https://github.com/open-webui/open-webui
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refac: substandard codebase overhauled
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parent
93bb77ede3
commit
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@ -23,21 +23,23 @@ import copy
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log = logging.getLogger(__name__)
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def apply_extra_params_to_tool_function(
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def get_async_tool_function_and_apply_extra_params(
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function: Callable, extra_params: dict
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) -> Callable[..., Awaitable]:
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sig = inspect.signature(function)
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extra_params = {k: v for k, v in extra_params.items() if k in sig.parameters}
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partial_func = partial(function, **extra_params)
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if inspect.iscoroutinefunction(function):
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update_wrapper(partial_func, function)
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return partial_func
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else:
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# Make it a coroutine function
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async def new_function(*args, **kwargs):
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return partial_func(*args, **kwargs)
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async def new_function(*args, **kwargs):
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return partial_func(*args, **kwargs)
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update_wrapper(new_function, function)
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return new_function
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update_wrapper(new_function, function)
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return new_function
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def get_tools(
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@ -48,22 +50,49 @@ def get_tools(
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for tool_id in tool_ids:
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tool = Tools.get_tool_by_id(tool_id)
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if tool is None:
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if tool_id.startswith("server:"):
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server_idx = int(tool_id.split(":")[1])
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tool_server_connection = (
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request.app.state.config.TOOL_SERVER_CONNECTIONS[server_idx]
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)
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tool_server_data = request.app.state.TOOL_SERVERS[server_idx]
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specs = tool_server_data.get("specs", [])
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tool_dict = {
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"spec": spec,
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"callable": callable,
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"tool_id": tool_id,
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# Misc info
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"metadata": {
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"file_handler": hasattr(module, "file_handler")
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and module.file_handler,
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"citation": hasattr(module, "citation") and module.citation,
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},
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}
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for spec in specs:
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function_name = spec["name"]
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auth_type = tool_server_connection.get("auth_type", "bearer")
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token = None
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if auth_type == "bearer":
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token = tool_server_connection.get("key", "")
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elif auth_type == "session":
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token = request.state.token.credentials
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callable = get_async_tool_function_and_apply_extra_params(
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execute_tool_server,
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{
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"token": token,
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"url": tool_server_data["url"],
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"name": function_name,
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"server_data": tool_server_data,
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},
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)
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tool_dict = {
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"tool_id": tool_id,
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"callable": callable,
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"spec": spec,
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}
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# TODO: if collision, prepend toolkit name
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if function_name in tools_dict:
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log.warning(
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f"Tool {function_name} already exists in another tools!"
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)
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log.warning(f"Discarding {tool_id}.{function_name}")
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else:
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tools_dict[function_name] = tool_dict
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else:
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continue
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else:
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@ -73,10 +102,11 @@ def get_tools(
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request.app.state.TOOLS[tool_id] = module
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extra_params["__id__"] = tool_id
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# Set valves for the tool
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if hasattr(module, "valves") and hasattr(module, "Valves"):
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valves = Tools.get_tool_valves_by_id(tool_id) or {}
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module.valves = module.Valves(**valves)
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if hasattr(module, "UserValves"):
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extra_params["__user__"]["valves"] = module.UserValves( # type: ignore
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**Tools.get_user_valves_by_id_and_user_id(tool_id, user.id)
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@ -89,21 +119,21 @@ def get_tools(
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if val["type"] == "str":
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val["type"] = "string"
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# Remove internal parameters
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# Remove internal reserved parameters (e.g. __id__, __user__)
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spec["parameters"]["properties"] = {
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key: val
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for key, val in spec["parameters"]["properties"].items()
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if not key.startswith("__")
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}
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function_name = spec["name"]
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# convert to function that takes only model params and inserts custom params
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original_func = getattr(module, function_name)
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callable = apply_extra_params_to_tool_function(
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original_func, extra_params
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function_name = spec["name"]
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tool_function = getattr(module, function_name)
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callable = get_async_tool_function_and_apply_extra_params(
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tool_function, extra_params
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)
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# TODO: Support Pydantic models as parameters
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if callable.__doc__ and callable.__doc__.strip() != "":
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s = re.split(":(param|return)", callable.__doc__, 1)
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spec["description"] = s[0]
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@ -111,9 +141,9 @@ def get_tools(
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spec["description"] = function_name
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tool_dict = {
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"spec": spec,
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"callable": callable,
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"tool_id": tool_id,
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"callable": callable,
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"spec": spec,
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# Misc info
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"metadata": {
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"file_handler": hasattr(module, "file_handler")
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@ -127,8 +157,7 @@ def get_tools(
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log.warning(
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f"Tool {function_name} already exists in another tools!"
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)
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log.warning(f"Collision between {tool} and {tool_id}.")
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log.warning(f"Discarding {tool}.{function_name}")
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log.warning(f"Discarding {tool_id}.{function_name}")
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else:
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tools_dict[function_name] = tool_dict
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