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# Copyright 2025 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 Optional, Union | |
from typing_extensions import override | |
from .data_utils import SLOTS | |
from .tool_utils import FunctionCall, get_tool_utils | |
class Formatter(ABC): | |
slots: SLOTS = field(default_factory=list) | |
tool_format: Optional[str] = None | |
def apply(self, **kwargs) -> SLOTS: | |
r"""Forms a list of slots according to the inputs to encode.""" | |
... | |
def extract(self, content: str) -> Union[str, list["FunctionCall"]]: | |
r"""Extract a list of tuples from the response message if using tools. | |
Each tuple consists of function name and function arguments. | |
""" | |
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(f"Expected a string, got {value}") | |
slot = slot.replace("{{" + name + "}}", value, 1) | |
elements.append(slot) | |
elif isinstance(slot, (dict, set)): | |
elements.append(slot) | |
else: | |
raise RuntimeError(f"Input must be string, set[str] or dict[str, str], got {type(slot)}.") | |
return elements | |
class FunctionFormatter(StringFormatter): | |
def __post_init__(self): | |
super().__post_init__() | |
self.tool_utils = get_tool_utils(self.tool_format) | |
def apply(self, **kwargs) -> SLOTS: | |
content: str = kwargs.pop("content") | |
regex = re.compile(r"<think>(.*)</think>", re.DOTALL) | |
thought = re.search(regex, content) | |
if thought: | |
content = content.replace(thought.group(0), "") | |
functions: list[FunctionCall] = [] | |
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( | |
FunctionCall(tool_call["name"], json.dumps(tool_call["arguments"], ensure_ascii=False)) | |
) | |
except json.JSONDecodeError: | |
raise RuntimeError(f"Invalid JSON format in function message: {str([content])}.") # flat string | |
function_str = self.tool_utils.function_formatter(functions) | |
if thought: | |
function_str = thought.group(0) + function_str | |
return super().apply(content=function_str) | |
class ToolFormatter(Formatter): | |
def __post_init__(self): | |
self.tool_utils = get_tool_utils(self.tool_format) | |
def apply(self, **kwargs) -> SLOTS: | |
content = kwargs.pop("content") | |
try: | |
tools = json.loads(content) | |
return [self.tool_utils.tool_formatter(tools) if len(tools) != 0 else ""] | |
except json.JSONDecodeError: | |
raise RuntimeError(f"Invalid JSON format in tool description: {str([content])}.") # flat string | |
def extract(self, content: str) -> Union[str, list["FunctionCall"]]: | |
return self.tool_utils.tool_extractor(content) | |