Files

108 lines
4.3 KiB
Python

# Copyright 2023 The Qwen team, Alibaba Group. All rights reserved.
#
# 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.
from typing import Dict, Optional, Union
import json5
from qwen_agent.settings import DEFAULT_MAX_REF_TOKEN, DEFAULT_PARSER_PAGE_SIZE, DEFAULT_RAG_SEARCHERS
from qwen_agent.tools.base import TOOL_REGISTRY, BaseTool, register_tool
from qwen_agent.tools.doc_parser import DocParser, Record
from qwen_agent.tools.simple_doc_parser import PARSER_SUPPORTED_FILE_TYPES
def _check_deps_for_rag():
try:
import charset_normalizer # noqa
import jieba # noqa
import pdfminer # noqa
import pdfplumber # noqa
import rank_bm25 # noqa
import snowballstemmer # noqa
from bs4 import BeautifulSoup # noqa
from docx import Document # noqa
from pptx import Presentation # noqa
except ImportError as e:
raise ImportError('The dependencies for RAG support are not installed. '
'Please install the required dependencies by running: pip install "qwen-agent[rag]"') from e
@register_tool('retrieval')
class Retrieval(BaseTool):
description = f"从给定文件列表中检索出和问题相关的内容,支持文件类型包括:{' / '.join(PARSER_SUPPORTED_FILE_TYPES)}"
parameters = {
'type': 'object',
'properties': {
'query': {
'description': '在这里列出关键词,用逗号分隔,目的是方便在文档中匹配到相关的内容,由于文档可能多语言,关键词最好中英文都有。',
'type': 'string',
},
'files': {
'description': '待解析的文件路径列表,支持本地文件路径或可下载的http(s)链接。',
'type': 'array',
'items': {
'type': 'string'
}
},
'value': {
'description': '数据的内容,仅存数据时需要',
'type': 'string',
},
},
'required': ['query', 'files'],
}
def __init__(self, cfg: Optional[Dict] = None):
super().__init__(cfg)
self.max_ref_token: int = self.cfg.get('max_ref_token', DEFAULT_MAX_REF_TOKEN)
self.parser_page_size: int = self.cfg.get('parser_page_size', DEFAULT_PARSER_PAGE_SIZE)
self.doc_parse = DocParser({'max_ref_token': self.max_ref_token, 'parser_page_size': self.parser_page_size})
self.rag_searchers = self.cfg.get('rag_searchers', DEFAULT_RAG_SEARCHERS)
if len(self.rag_searchers) == 1:
self.search = TOOL_REGISTRY[self.rag_searchers[0]]({'max_ref_token': self.max_ref_token})
else:
from qwen_agent.tools.search_tools.hybrid_search import HybridSearch
self.search = HybridSearch({'max_ref_token': self.max_ref_token, 'rag_searchers': self.rag_searchers})
def call(self, params: Union[str, dict], **kwargs) -> list:
"""RAG tool.
Step1: Parse and save files
Step2: Retrieval related content according to query
Args:
params: The files and query.
Returns:
The parsed file list or retrieved file list.
"""
# TODO: It this a good place to check the RAG deps?
_check_deps_for_rag()
params = self._verify_json_format_args(params)
files = params.get('files', [])
if isinstance(files, str):
files = json5.loads(files)
records = []
for file in files:
_record = self.doc_parse.call(params={'url': file}, **kwargs)
records.append(_record)
query = params.get('query', '')
if records:
return self.search.call(params={'query': query}, docs=[Record(**rec) for rec in records], **kwargs)
else:
return []