124 lines
4.7 KiB
Python
124 lines
4.7 KiB
Python
# Copyright 2024 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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from llamafactory.data.formatter import EmptyFormatter, FunctionFormatter, StringFormatter, ToolFormatter
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def test_empty_formatter():
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formatter = EmptyFormatter(slots=["\n"])
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assert formatter.apply() == ["\n"]
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def test_string_formatter():
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formatter = StringFormatter(slots=["<s>", "Human: {{content}}\nAssistant:"])
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assert formatter.apply(content="Hi") == ["<s>", "Human: Hi\nAssistant:"]
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def test_function_formatter():
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formatter = FunctionFormatter(slots=[], tool_format="default")
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tool_calls = json.dumps({"name": "tool_name", "arguments": {"foo": "bar", "size": 10}})
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assert formatter.apply(content=tool_calls) == [
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"""Action: tool_name\nAction Input: {\"foo\": \"bar\", \"size\": 10}\n"""
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]
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def test_multi_function_formatter():
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formatter = FunctionFormatter(slots=[], tool_format="default")
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tool_calls = json.dumps([{"name": "tool_name", "arguments": {"foo": "bar", "size": 10}}] * 2)
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assert formatter.apply(content=tool_calls) == [
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"""Action: tool_name\nAction Input: {\"foo\": \"bar\", \"size\": 10}\n""",
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"""Action: tool_name\nAction Input: {\"foo\": \"bar\", \"size\": 10}\n""",
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]
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def test_default_tool_formatter():
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formatter = ToolFormatter(tool_format="default")
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tools = [
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{
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"name": "test_tool",
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"description": "tool_desc",
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"parameters": {
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"type": "object",
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"properties": {
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"foo": {"type": "string", "description": "foo_desc"},
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"bar": {"type": "number", "description": "bar_desc"},
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},
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"required": ["foo"],
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},
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}
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]
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assert formatter.apply(content=json.dumps(tools)) == [
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"You have access to the following tools:\n"
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"> Tool Name: test_tool\n"
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"Tool Description: tool_desc\n"
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"Tool Args:\n"
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" - foo (string, required): foo_desc\n"
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" - bar (number): bar_desc\n\n"
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"Use the following format if using a tool:\n"
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"```\n"
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"Action: tool name (one of [test_tool])\n"
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"Action Input: the input to the tool, in a JSON format representing the kwargs "
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"""(e.g. ```{"input": "hello world", "num_beams": 5}```)\n"""
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"```\n"
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]
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def test_default_tool_extractor():
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formatter = ToolFormatter(tool_format="default")
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result = """Action: test_tool\nAction Input: {"foo": "bar", "size": 10}\n"""
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assert formatter.extract(result) == [("test_tool", """{"foo": "bar", "size": 10}""")]
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def test_default_multi_tool_extractor():
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formatter = ToolFormatter(tool_format="default")
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result = (
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"""Action: test_tool\nAction Input: {"foo": "bar", "size": 10}\n"""
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"""Action: another_tool\nAction Input: {"foo": "job", "size": 2}\n"""
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)
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assert formatter.extract(result) == [
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("test_tool", """{"foo": "bar", "size": 10}"""),
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("another_tool", """{"foo": "job", "size": 2}"""),
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]
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def test_glm4_tool_formatter():
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formatter = ToolFormatter(tool_format="glm4")
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tools = [
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{
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"name": "test_tool",
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"description": "tool_desc",
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"parameters": {
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"type": "object",
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"properties": {
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"foo": {"type": "string", "description": "foo_desc"},
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"bar": {"type": "number", "description": "bar_desc"},
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},
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"required": ["foo"],
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},
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}
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]
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assert formatter.apply(content=json.dumps(tools)) == [
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"你是一个名为 ChatGLM 的人工智能助手。你是基于智谱AI训练的语言模型 GLM-4 模型开发的，"
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"你的任务是针对用户的问题和要求提供适当的答复和支持。# 可用工具\n\n"
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"## test_tool\n\n{}\n在调用上述函数时，请使用 Json 格式表示调用的参数。".format(json.dumps(tools[0], indent=4))
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]
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def test_glm4_tool_extractor():
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formatter = ToolFormatter(tool_format="glm4")
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result = """test_tool\n{"foo": "bar", "size": 10}\n"""
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assert formatter.extract(result) == [("test_tool", """{"foo": "bar", "size": 10}""")]
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