mirror of
https://github.com/zenlm/zen-agent.git
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170 lines
6.3 KiB
Python
170 lines
6.3 KiB
Python
# Copyright 2023 The Qwen team, Alibaba Group. All rights reserved.
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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 copy
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import datetime
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import json
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from typing import Dict, Iterator, List, Literal, Optional, Union
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from qwen_agent.agents.fncall_agent import FnCallAgent
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from qwen_agent.llm import BaseChatModel
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from qwen_agent.llm.schema import CONTENT, DEFAULT_SYSTEM_MESSAGE, ROLE, SYSTEM, ContentItem, Message
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from qwen_agent.log import logger
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from qwen_agent.tools import BaseTool
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from qwen_agent.utils.utils import get_basename_from_url, print_traceback
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KNOWLEDGE_TEMPLATE_ZH = """# 知识库
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{knowledge}"""
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KNOWLEDGE_TEMPLATE_EN = """# Knowledge Base
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{knowledge}"""
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KNOWLEDGE_TEMPLATE = {'zh': KNOWLEDGE_TEMPLATE_ZH, 'en': KNOWLEDGE_TEMPLATE_EN}
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KNOWLEDGE_SNIPPET_ZH = """## 来自 {source} 的内容:
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```
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{content}
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```"""
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KNOWLEDGE_SNIPPET_EN = """## The content from {source}:
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```
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{content}
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```"""
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KNOWLEDGE_SNIPPET = {'zh': KNOWLEDGE_SNIPPET_ZH, 'en': KNOWLEDGE_SNIPPET_EN}
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def format_knowledge_to_source_and_content(result: Union[str, List[dict]]) -> List[dict]:
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knowledge = []
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if isinstance(result, str):
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result = f'{result}'.strip()
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try:
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docs = json.loads(result)
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except Exception:
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print_traceback()
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knowledge.append({'source': '上传的文档', 'content': result})
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return knowledge
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else:
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docs = result
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try:
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_tmp_knowledge = []
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assert isinstance(docs, list)
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for doc in docs:
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url, snippets = doc['url'], doc['text']
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assert isinstance(snippets, list)
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_tmp_knowledge.append({
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'source': f'[文件]({get_basename_from_url(url)})',
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'content': '\n\n...\n\n'.join(snippets)
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})
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knowledge.extend(_tmp_knowledge)
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except Exception:
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print_traceback()
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knowledge.append({'source': '上传的文档', 'content': result})
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return knowledge
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class Assistant(FnCallAgent):
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"""This is a widely applicable agent integrated with RAG capabilities and function call ability."""
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def __init__(self,
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function_list: Optional[List[Union[str, Dict, BaseTool]]] = None,
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llm: Optional[Union[Dict, BaseChatModel]] = None,
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system_message: Optional[str] = DEFAULT_SYSTEM_MESSAGE,
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name: Optional[str] = None,
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description: Optional[str] = None,
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files: Optional[List[str]] = None,
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rag_cfg: Optional[Dict] = None):
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super().__init__(function_list=function_list,
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llm=llm,
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system_message=system_message,
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name=name,
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description=description,
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files=files,
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rag_cfg=rag_cfg)
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def _run(self,
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messages: List[Message],
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lang: Literal['en', 'zh'] = 'en',
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knowledge: str = '',
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**kwargs) -> Iterator[List[Message]]:
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"""Q&A with RAG and tool use abilities.
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Args:
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knowledge: If an external knowledge string is provided,
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it will be used directly without retrieving information from files in messages.
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"""
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new_messages = self._prepend_knowledge_prompt(messages=messages, lang=lang, knowledge=knowledge, **kwargs)
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return super()._run(messages=new_messages, lang=lang, **kwargs)
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def _prepend_knowledge_prompt(self,
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messages: List[Message],
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lang: Literal['en', 'zh'] = 'en',
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knowledge: str = '',
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**kwargs) -> List[Message]:
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messages = copy.deepcopy(messages)
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if not knowledge:
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# Retrieval knowledge from files
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*_, last = self.mem.run(messages=messages, lang=lang, **kwargs)
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knowledge = last[-1][CONTENT]
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logger.debug(f'Retrieved knowledge of type `{type(knowledge).__name__}`:\n{knowledge}')
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if knowledge:
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knowledge = format_knowledge_to_source_and_content(knowledge)
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logger.debug(f'Formatted knowledge into type `{type(knowledge).__name__}`:\n{knowledge}')
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else:
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knowledge = []
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snippets = []
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for k in knowledge:
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snippets.append(KNOWLEDGE_SNIPPET[lang].format(source=k['source'], content=k['content']))
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knowledge_prompt = ''
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if snippets:
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knowledge_prompt = KNOWLEDGE_TEMPLATE[lang].format(knowledge='\n\n'.join(snippets))
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if knowledge_prompt:
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if messages and messages[0][ROLE] == SYSTEM:
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if isinstance(messages[0][CONTENT], str):
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messages[0][CONTENT] += '\n\n' + knowledge_prompt
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else:
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assert isinstance(messages[0][CONTENT], list)
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messages[0][CONTENT] += [ContentItem(text='\n\n' + knowledge_prompt)]
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else:
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messages = [Message(role=SYSTEM, content=knowledge_prompt)] + messages
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return messages
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def get_current_date_str(
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lang: Literal['en', 'zh'] = 'en',
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hours_from_utc: Optional[int] = None,
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) -> str:
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if hours_from_utc is None:
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cur_time = datetime.datetime.now()
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else:
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cur_time = datetime.datetime.utcnow() + datetime.timedelta(hours=hours_from_utc)
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if lang == 'en':
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date_str = 'Current date: ' + cur_time.strftime('%A, %B %d, %Y')
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elif lang == 'zh':
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cur_time = cur_time.timetuple()
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date_str = f'当前时间:{cur_time.tm_year}年{cur_time.tm_mon}月{cur_time.tm_mday}日,星期'
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date_str += ['一', '二', '三', '四', '五', '六', '日'][cur_time.tm_wday]
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date_str += '。'
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else:
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raise NotImplementedError
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return date_str
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