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from docx import Document
from qwen_agent.agents import Assistant
import re
import json_repair
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import json
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import math
from docx.opc.pkgreader import _SerializedRelationships, _SerializedRelationship
from docx.opc.oxml import parse_xml
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import requests
import logging
from myLogger import outLog
import time
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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
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outLog.logger = logging.getLogger("checkPlaceName")
userLog=None
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prompt='''
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.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;
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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):
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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
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# 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...."
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userLog.info("checkPlaceName----启动中....")
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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}"
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userLog.info(f"checkPlaceName----文档解析进度:{i + 1}/{num_chunks}")
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wenBen=".".join(chunk)
try:
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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)
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except Exception as e:
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userLog.warning(chunk)
userLog.warning("文档地名检查---解析地名出错")
userLog.warning(e)
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continue
isplace = False
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for zuhe in res["result"]:
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# 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"
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userLog.info("checkPlaceName---文档解析完成")
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placeList=list(dict.fromkeys(placeList))
yield placeList
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#主方法
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def checkPlaceName(filename,user_id):
global userLog
userLog=outLog.get_queue(user_id,"checkPlaceName")
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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:
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userLog.warning(e)
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yield "文档地名检查---文档无法打开,请检查文档内容"
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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")
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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
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userLog.info("checkPlaceName---结果生成中"+'.'*cishu)
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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:
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userLog.warning(parsed_data)
userLog.warning(place)
userLog.warning("文档地名检查---组织提出出错")
userLog.warning(e)
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continue
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userLog.info(error_places)
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returnInfo = "发现异常地名<br>"
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 + "<br>出现异常地名:**" + keyword + "**!请注意" + "<br>"
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userLog.info(returnInfo)
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yield returnInfo
else:
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yield "**未发现发现异常地名**"
userLog.info("未发现发现异常地名")
outLog.mark_done(user_id, "checkPlaceName")