Spaces:
Build error
Build error
| # Copyright 2024 the LlamaFactory team. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import json | |
| import re | |
| from abc import ABC, abstractmethod | |
| from dataclasses import dataclass, field | |
| from typing import List, Literal, Optional, Tuple, Union | |
| from .data_utils import SLOTS | |
| from .tool_utils import DefaultToolUtils, GLM4ToolUtils | |
| class Formatter(ABC): | |
| slots: SLOTS = field(default_factory=list) | |
| tool_format: Optional[Literal["default", "glm4"]] = None | |
| def apply(self, **kwargs) -> SLOTS: ... | |
| def extract(self, content: str) -> Union[str, List[Tuple[str, str]]]: | |
| raise NotImplementedError | |
| class EmptyFormatter(Formatter): | |
| def __post_init__(self): | |
| has_placeholder = False | |
| for slot in filter(lambda s: isinstance(s, str), self.slots): | |
| if re.search(r"\{\{[a-zA-Z_][a-zA-Z0-9_]*\}\}", slot): | |
| has_placeholder = True | |
| if has_placeholder: | |
| raise ValueError("Empty formatter should not contain any placeholder.") | |
| def apply(self, **kwargs) -> SLOTS: | |
| return self.slots | |
| class StringFormatter(Formatter): | |
| def __post_init__(self): | |
| has_placeholder = False | |
| for slot in filter(lambda s: isinstance(s, str), self.slots): | |
| if re.search(r"\{\{[a-zA-Z_][a-zA-Z0-9_]*\}\}", slot): | |
| has_placeholder = True | |
| if not has_placeholder: | |
| raise ValueError("A placeholder is required in the string formatter.") | |
| def apply(self, **kwargs) -> SLOTS: | |
| elements = [] | |
| for slot in self.slots: | |
| if isinstance(slot, str): | |
| for name, value in kwargs.items(): | |
| if not isinstance(value, str): | |
| raise RuntimeError("Expected a string, got {}".format(value)) | |
| slot = slot.replace("{{" + name + "}}", value, 1) | |
| elements.append(slot) | |
| elif isinstance(slot, (dict, set)): | |
| elements.append(slot) | |
| else: | |
| raise RuntimeError("Input must be string, set[str] or dict[str, str], got {}".format(type(slot))) | |
| return elements | |
| class FunctionFormatter(Formatter): | |
| def __post_init__(self): | |
| if self.tool_format == "default": | |
| self.slots = DefaultToolUtils.get_function_slots() + self.slots | |
| elif self.tool_format == "glm4": | |
| self.slots = GLM4ToolUtils.get_function_slots() + self.slots | |
| else: | |
| raise NotImplementedError("Tool format {} was not found.".format(self.tool_format)) | |
| def apply(self, **kwargs) -> SLOTS: | |
| content = kwargs.pop("content") | |
| functions: List[Tuple[str, str]] = [] | |
| try: | |
| tool_calls = json.loads(content) | |
| if not isinstance(tool_calls, list): # parallel function call | |
| tool_calls = [tool_calls] | |
| for tool_call in tool_calls: | |
| functions.append((tool_call["name"], json.dumps(tool_call["arguments"], ensure_ascii=False))) | |
| except json.JSONDecodeError: | |
| functions = [] | |
| elements = [] | |
| for name, arguments in functions: | |
| for slot in self.slots: | |
| if isinstance(slot, str): | |
| slot = slot.replace("{{name}}", name).replace("{{arguments}}", arguments) | |
| elements.append(slot) | |
| elif isinstance(slot, (dict, set)): | |
| elements.append(slot) | |
| else: | |
| raise RuntimeError("Input must be string, set[str] or dict[str, str], got {}".format(type(slot))) | |
| return elements | |
| class ToolFormatter(Formatter): | |
| def __post_init__(self): | |
| if self.tool_format == "default": | |
| self._tool_formatter = DefaultToolUtils.tool_formatter | |
| self._tool_extractor = DefaultToolUtils.tool_extractor | |
| elif self.tool_format == "glm4": | |
| self._tool_formatter = GLM4ToolUtils.tool_formatter | |
| self._tool_extractor = GLM4ToolUtils.tool_extractor | |
| else: | |
| raise NotImplementedError("Tool format {} was not found.".format(self.tool_format)) | |
| def apply(self, **kwargs) -> SLOTS: | |
| content = kwargs.pop("content") | |
| try: | |
| tools = json.loads(content) | |
| return [self._tool_formatter(tools) if len(tools) != 0 else ""] | |
| except json.JSONDecodeError: | |
| return [""] | |
| def extract(self, content: str) -> Union[str, List[Tuple[str, str]]]: | |
| return self._tool_extractor(content) | |