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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
@dataclass
class Formatter(ABC):
slots: SLOTS = field(default_factory=list)
tool_format: Optional[str] = None
@abstractmethod
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
@dataclass
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.")
@override
def apply(self, **kwargs) -> SLOTS:
return self.slots
@dataclass
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.")
@override
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
@dataclass
class FunctionFormatter(StringFormatter):
def __post_init__(self):
super().__post_init__()
self.tool_utils = get_tool_utils(self.tool_format)
@override
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)
@dataclass
class ToolFormatter(Formatter):
def __post_init__(self):
self.tool_utils = get_tool_utils(self.tool_format)
@override
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
@override
def extract(self, content: str) -> Union[str, list["FunctionCall"]]:
return self.tool_utils.tool_extractor(content)