from docx import Document from qwen_agent.agents import Assistant import re import json_repair import json import math from docx.opc.pkgreader import _SerializedRelationships, _SerializedRelationship from docx.opc.oxml import parse_xml import requests import logging from myLogger import outLog import time def load_from_xml_v2(baseURI, rels_item_xml): """ Return |_SerializedRelationships| instance loaded with the relationships contained in *rels_item_xml*. Returns an empty collection if *rels_item_xml* is |None|. """ srels = _SerializedRelationships() if rels_item_xml is not None: rels_elm = parse_xml(rels_item_xml) for rel_elm in rels_elm.Relationship_lst: if rel_elm.target_ref in ('../NULL', 'NULL'): continue srels._srels.append(_SerializedRelationship(baseURI, rel_elm)) return srels _SerializedRelationships.load_from_xml = load_from_xml_v2 outLog.logger = logging.getLogger("checkPlaceName") userLog=None prompt=''' .上述文本判断地名是否正确,你可以使用工具利用互联网查询,你只能在[正确,错误,简称,未知]三种选项中选择答案,回答格式[{“placeName”:“地名”,"回答":"答案"},{“placeName”:“地名”,"回答":"答案"},{“placeName”:“地名”,"回答":"答案"}],不做过多的解释,严格按回答格式作答; 不做过多的解释,严格按回答格式作答; ''' # prompt=''' # .请回答以上问题, # ,回答格式[{“placeName”:"原文","回答":"答案"},{“placeName”:"原文","回答":"答案"}],不做过多的解释,严格按回答格式作答; # 不做过多的解释,严格按回答格式作答; # ''' llm_cfg = { #'model': 'qwen1.5-72b-chat', 'model':"qwen2-72b", 'model_server': 'http://127.0.0.1:1025/v1', # base_url, also known as api_base # 'api_key': 'sk-ea89cf04431645b185990b8af8c9bb13', } bot = Assistant(llm=llm_cfg, name='Assistant', # description='使用RAG检索并回答,支持文件类型:PDF/Word/PPT/TXT/HTML。' ) #获取全文内容 def getDocxToTextAll(docxPath): loopCount = 0 while True: loopCount+=1 if(loopCount>=15): raise Exception("文档读取超时,或文档存在问题无法读取") break try: document = Document(docxPath) break except Exception as e: time.sleep(1) pass # 逐段读取docx文档的内容 levelList=[] words=[] addStart = False levelText="" i = 0 for paragraph in document.paragraphs: # 判断该段落的标题级别 # 这里用isTitle()临时代表,具体见下文介绍的方法 text = paragraph.text if text.strip():#非空判断 # print("非空") words.append(text) # 将所有段落文本拼接成一个字符串,并用换行符分隔 text = '\n'.join(words) # 将文本写入txt文件 with open("checkPlaceName.txt", 'w', encoding='utf-8') as txt_file: txt_file.write(text) #得到全文和地名有关的内容 def placeNameTask(text): yield "文档地名检查---启动中...." batchNum=20 sentences = re.split(r'[。\n]', text) # 去掉空字符 sentences = [sentence.strip() for sentence in sentences if sentence.strip()] # 计算总字符数 total_chars = len(sentences) # 计算有多少份 num_chunks = math.ceil(total_chars / batchNum) # 按batchNum字为一份进行处理 chunks = [sentences[i:i + batchNum] for i in range(0, total_chars, batchNum)] placeList = [] # 打印每一份的内容 for i, chunk in enumerate(chunks): yield f"文档地名检查---文档解析进度:{i + 1}/{num_chunks}" wenBen=".".join(chunk) try: url = "http://0.0.0.0:8191/taskflow/checkPlaceName" headers = {"Content-Type": "application/json"} data = { "data": { "text": wenBen, } } r = requests.post(url=url, headers=headers, data=json.dumps(data)) res = json.loads(r.text) except Exception as e: userLog.warning(chunk) userLog.warning("文档地名检查---解析地名出错") userLog.warning(e) continue isplace = False for zuhe in res["result"]: # 上一个的地名,这一个还是地名,就和上一个相加代替这个 if isplace: name = placeList[len(placeList) - 1] if zuhe[1].find("组织机构类") >= 0 or zuhe[1].find("世界地区类") >= 0: # or zuhe[1] == "ns" isplace = True new_text = zuhe[0].replace("\n", "") placeList[len(placeList) - 1] = name + new_text continue if zuhe[1].find("组织机构类") >= 0 or zuhe[1].find("世界地区类") >= 0: isplace = True new_text = zuhe[0].replace("\n", "") placeList.append(new_text) else: isplace = False # 打印总份数 yield "文档地名检查---文档解析完成" placeList=list(dict.fromkeys(placeList)) yield placeList #主方法 def checkPlaceName(filename,user_id): global userLog userLog=outLog.get_queue(user_id,"checkPlaceName") yield f"文档地名检查---开始处理文档..." # 每次生成一个数字就发送 try: getDocxToTextAll(filename) except Exception as e: userLog.warning(e) yield "文档地名检查---文档无法打开,请检查文档内容" userLog.warning("文档地名检查---文档无法打开,请检查文档内容") outLog.mark_done(user_id,"checkPlaceName") return with open("checkPlaceName.txt", "r",encoding='utf-8') as f: gettext = f.read() yield f"文档地名检查---开始解析文档..." # 每次生成一个数字就发送 # propnList=placeNameTask(gettext) for item in placeNameTask(gettext): if isinstance(item, str): yield item else: final_list = item # 获取最终结果 propnStr = ",".join(final_list) messages = [{'role': 'user', 'content': [{'text': propnStr + prompt}]}] runList = [] yield f"文档地名检查---结果生成中..." # 每次生成一个数字就发送 cishu=0 for rsp in bot.run(messages): runList.append(rsp) if cishu>3: cishu=0 yield "文档地名检查---结果生成中"+'.'*cishu cishu+=1 data = runList[len(runList) - 1][0]["content"] parsed_data = json_repair.loads(data.replace('`', '')) error_places=[] # 如果需要进一步操作,例如只关注“正确”的回答 for place in parsed_data: try: if place['回答'] == '错误': error_places.append(place) except Exception as e: userLog.warning(place) userLog.warning(parsed_data) userLog.warning("文档地名检查---组织提出出错") userLog.warning(e) continue returnInfo = "发现异常地名
" if len(error_places)>0: for t in error_places: keyword= t['placeName'].replace("\n","") # 查找包含关键字的段落 paragraphs = re.findall(r'.*?' + re.escape(keyword) + r'.*?\n', gettext) yuanwen= paragraphs[0].replace(keyword,f"**{keyword}**").replace("\n","") returnInfo+="原文:" + yuanwen + "
出现异常地名:**" + keyword + "**!请注意" + "
" userLog.info("文档地名检查---原文:" + yuanwen + "出现异常地名:" + keyword + "!请注意") yield returnInfo else: yield "**未发现发现异常地名**" userLog.info("文档地名检查---未发现发现异常地名") outLog.mark_done(user_id, "checkPlaceName")