mirror of
https://github.com/hiyouga/LLaMA-Factory.git
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143 lines
4.7 KiB
Python
143 lines
4.7 KiB
Python
# Copyright 2025 the LlamaFactory team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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import re
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from abc import ABC, abstractmethod
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from dataclasses import dataclass, field
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from typing import Optional, Union
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from typing_extensions import override
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from .data_utils import SLOTS
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from .tool_utils import FunctionCall, get_tool_utils
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@dataclass
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class Formatter(ABC):
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slots: SLOTS = field(default_factory=list)
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tool_format: Optional[str] = None
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@abstractmethod
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def apply(self, **kwargs) -> SLOTS:
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r"""Forms a list of slots according to the inputs to encode."""
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...
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def extract(self, content: str) -> Union[str, list["FunctionCall"]]:
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r"""Extract a list of tuples from the response message if using tools.
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Each tuple consists of function name and function arguments.
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"""
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raise NotImplementedError
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@dataclass
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class EmptyFormatter(Formatter):
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def __post_init__(self):
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has_placeholder = False
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for slot in filter(lambda s: isinstance(s, str), self.slots):
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if re.search(r"\{\{[a-zA-Z_][a-zA-Z0-9_]*\}\}", slot):
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has_placeholder = True
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if has_placeholder:
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raise ValueError("Empty formatter should not contain any placeholder.")
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@override
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def apply(self, **kwargs) -> SLOTS:
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return self.slots
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@dataclass
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class StringFormatter(Formatter):
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def __post_init__(self):
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has_placeholder = False
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for slot in filter(lambda s: isinstance(s, str), self.slots):
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if re.search(r"\{\{[a-zA-Z_][a-zA-Z0-9_]*\}\}", slot):
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has_placeholder = True
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if not has_placeholder:
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raise ValueError("A placeholder is required in the string formatter.")
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@override
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def apply(self, **kwargs) -> SLOTS:
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elements = []
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for slot in self.slots:
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if isinstance(slot, str):
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for name, value in kwargs.items():
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if not isinstance(value, str):
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raise RuntimeError(f"Expected a string, got {value}")
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slot = slot.replace("{{" + name + "}}", value, 1)
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elements.append(slot)
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elif isinstance(slot, (dict, set)):
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elements.append(slot)
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else:
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raise RuntimeError(f"Input must be string, set[str] or dict[str, str], got {type(slot)}.")
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return elements
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@dataclass
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class FunctionFormatter(StringFormatter):
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def __post_init__(self):
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super().__post_init__()
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self.tool_utils = get_tool_utils(self.tool_format)
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@override
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def apply(self, **kwargs) -> SLOTS:
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content: str = kwargs.pop("content")
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regex = re.compile(r"<think>(.*)</think>", re.DOTALL)
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thought = re.search(regex, content)
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if thought:
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content = content.replace(thought.group(0), "")
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functions: list[FunctionCall] = []
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try:
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tool_calls = json.loads(content)
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if not isinstance(tool_calls, list): # parallel function call
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tool_calls = [tool_calls]
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for tool_call in tool_calls:
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functions.append(
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FunctionCall(tool_call["name"], json.dumps(tool_call["arguments"], ensure_ascii=False))
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)
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except json.JSONDecodeError:
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raise RuntimeError(f"Invalid JSON format in function message: {str([content])}.") # flat string
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function_str = self.tool_utils.function_formatter(functions)
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if thought:
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function_str = thought.group(0) + function_str
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return super().apply(content=function_str)
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@dataclass
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class ToolFormatter(Formatter):
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def __post_init__(self):
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self.tool_utils = get_tool_utils(self.tool_format)
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@override
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def apply(self, **kwargs) -> SLOTS:
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content = kwargs.pop("content")
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try:
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tools = json.loads(content)
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return [self.tool_utils.tool_formatter(tools) if len(tools) != 0 else ""]
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except json.JSONDecodeError:
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raise RuntimeError(f"Invalid JSON format in tool description: {str([content])}.") # flat string
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@override
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def extract(self, content: str) -> Union[str, list["FunctionCall"]]:
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return self.tool_utils.tool_extractor(content)
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