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108 lines
4.3 KiB
Python
108 lines
4.3 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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from typing import Dict, Optional, Union
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import json5
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from qwen_agent.settings import DEFAULT_MAX_REF_TOKEN, DEFAULT_PARSER_PAGE_SIZE, DEFAULT_RAG_SEARCHERS
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from qwen_agent.tools.base import TOOL_REGISTRY, BaseTool, register_tool
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from qwen_agent.tools.doc_parser import DocParser, Record
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from qwen_agent.tools.simple_doc_parser import PARSER_SUPPORTED_FILE_TYPES
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def _check_deps_for_rag():
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try:
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import charset_normalizer # noqa
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import jieba # noqa
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import pdfminer # noqa
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import pdfplumber # noqa
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import rank_bm25 # noqa
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import snowballstemmer # noqa
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from bs4 import BeautifulSoup # noqa
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from docx import Document # noqa
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from pptx import Presentation # noqa
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except ImportError as e:
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raise ImportError('The dependencies for RAG support are not installed. '
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'Please install the required dependencies by running: pip install "qwen-agent[rag]"') from e
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@register_tool('retrieval')
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class Retrieval(BaseTool):
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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)}"
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parameters = {
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'type': 'object',
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'properties': {
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'query': {
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'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。',
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'type': 'string',
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},
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'files': {
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'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。',
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'type': 'array',
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'items': {
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'type': 'string'
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}
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},
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'value': {
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'description': '数据的内容,仅存数据时需要',
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'type': 'string',
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},
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},
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'required': ['query', 'files'],
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}
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def __init__(self, cfg: Optional[Dict] = None):
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super().__init__(cfg)
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self.max_ref_token: int = self.cfg.get('max_ref_token', DEFAULT_MAX_REF_TOKEN)
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self.parser_page_size: int = self.cfg.get('parser_page_size', DEFAULT_PARSER_PAGE_SIZE)
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self.doc_parse = DocParser({'max_ref_token': self.max_ref_token, 'parser_page_size': self.parser_page_size})
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self.rag_searchers = self.cfg.get('rag_searchers', DEFAULT_RAG_SEARCHERS)
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if len(self.rag_searchers) == 1:
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self.search = TOOL_REGISTRY[self.rag_searchers[0]]({'max_ref_token': self.max_ref_token})
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else:
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from qwen_agent.tools.search_tools.hybrid_search import HybridSearch
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self.search = HybridSearch({'max_ref_token': self.max_ref_token, 'rag_searchers': self.rag_searchers})
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def call(self, params: Union[str, dict], **kwargs) -> list:
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"""RAG tool.
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Step1: Parse and save files
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Step2: Retrieval related content according to query
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Args:
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params: The files and query.
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Returns:
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The parsed file list or retrieved file list.
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"""
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# TODO: It this a good place to check the RAG deps?
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_check_deps_for_rag()
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params = self._verify_json_format_args(params)
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files = params.get('files', [])
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if isinstance(files, str):
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files = json5.loads(files)
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records = []
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for file in files:
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_record = self.doc_parse.call(params={'url': file}, **kwargs)
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records.append(_record)
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query = params.get('query', '')
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if records:
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return self.search.call(params={'query': query}, docs=[Record(**rec) for rec in records], **kwargs)
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else:
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return []
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