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# -*- coding:utf-8 -*-
from qwen_agent.agents import Assistant
from docx import Document
import re
import json
import json_repair
import math
from docx.opc.pkgreader import _SerializedRelationships, _SerializedRelationship
from docx.opc.oxml import parse_xml
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import requests
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
import logging
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outLog.logger = logging.getLogger("checkDocumentError")
userLog=None
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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。'
)
# prompt='''
# 是否存在错别字,若存在请指出,不做其他方面的校验,你只能在[存在,不存在,未知]选项中选择答案,
# 回答格式[{“placeName”:“原文”,"改正后":"改正的内容","回答":"答案"},{“placeName”:“原文”,"改正后":"改正的内容","回答":"答案"}],不做过多的解释,严格按回答格式作答;
# '''
prompt = '''
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请回答以上问题[]选项中选择答案,原文内容标点符号保持不变如果有错请给出详细的解析没有错则不用给解析
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回答格式请按照以下json格式[{"placeName":"序号","回答":"答案","解析","解析内容"},{"placeName":"序号","回答":"答案","解析","解析内容"}]不做过多的解释,严格按回答格式作答;
'''
def getDocxToTextAll(name):
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userLog.info("checkDocumentError----打开文档")
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docxPath = name
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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
words = []
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("checkDocumentError.txt", 'w', encoding='utf-8') as txt_file:
txt_file.write(text)
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def checkDocumentError(filename,user_id):
global userLog
userLog=outLog.get_queue(user_id,"checkDocumentError")
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yield f"文档纠错---开始处理文档..."
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userLog.info("checkDocumentError----开始处理文档...")
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try:
getDocxToTextAll(filename)
except Exception as e:
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userLog.warning(e)
userLog.warning("文档纠错----文档无法打开,请检查文档内容")
yield "文档纠错----文档无法打开,请检查文档内容"
outLog.mark_done(user_id, "checkDocumentError")
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return
with open("checkDocumentError.txt", "r", encoding='utf-8') as f:
gettext = f.read()
yield f"文档纠错---开始解析文档..." # 每次生成一个数字就发送
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userLog.info("checkDocumentError----开始解析文档...")
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final_list = []
for item in documentErrorTask(gettext):
if isinstance(item, str):
yield item
else:
final_list = item # 获取最终结果
resInfo = "发现错别字<br>"
if (len(final_list) > 0):
for i in final_list:
yuanwen = i["placeName"].replace("\n", "")
jianyi = i["jianyi"].replace("\n", "")
resInfo += "原文:" + yuanwen + "<br>建议:**" + jianyi + "**<br>"
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userLog.info(resInfo)
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yield resInfo
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else:
yield "**未发现错别字**"
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userLog.info("未发现错别字")
outLog.mark_done(user_id,"checkDocumentError")
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def documentErrorTask(text):
"""
分批读取文本文件
:param file_path: 文件路径
:param batch_size: 每批处理的字符数
:return: 生成器每次返回一批文本
"""
yield "文档纠错---启动中...."
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userLog.info("checkDocumentError----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)]
# 打印每一份的内容
err = []
for i, chunk in enumerate(chunks):
yield f"文档纠错---文档解析进度:{i + 1}/{num_chunks}"
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userLog.info(f"checkDocumentError----文档解析进度:{i + 1}/{num_chunks}")
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try:
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url = "http://0.0.0.0:8190/taskflow/checkDocumentError"
headers = {"Content-Type": "application/json"}
data = {
"data": {
"text": chunk,
}
}
r = requests.post(url=url, headers=headers, data=json.dumps(data))
res = json.loads(r.text)
# print(res)
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except Exception as e:
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userLog.warning(chunk)
userLog.warning("文档纠错--错别字识别出错\n", e)
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continue
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lines_with_greeting = [place for place in res["result"] if len(place['errors']) > 0]
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if len(lines_with_greeting) > 0:
num = 0
wenti = [] # 记录问题的数组
keyword_list = [] # 记录问题
for t in lines_with_greeting:
temp_errorWords = []
keyword = t['source']
keyword_list.append(keyword)
for item in t["errors"]:
for key, value in item['correction'].items():
temp_errorWords.append(key)
wenti.append(
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"序号:{},原文:{}。问题:【{}】这些字是否为当前原文的错别字".format(num, keyword, ",".join(temp_errorWords)))
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num += 1
words = "\n".join(wenti)
messages = [{'role': 'user', 'content': [{'text': words + prompt}]}]
runList = []
yield f"文档纠错---内容解析中..." # 每次生成一个数字就发送
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userLog.info(f"checkDocumentError----内容解析中...")
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cishu = 0
for rsp in bot.run(messages):
runList.append(rsp)
if cishu > 3:
cishu = 0
yield "文档纠错---内容解析中" + '.' * cishu
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userLog.info(f"checkDocumentError----内容解析中内容解析中" + '.' * cishu)
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cishu += 1
data = runList[len(runList) - 1][0]["content"]
parsed_data = json_repair.loads(data.replace("\\", "").replace('`', ''))
resListerr = []
for place in parsed_data:
try:
if place['回答'] == '':
place["placeName"] = keyword_list[int(place["placeName"])]
place["jianyi"] = place["解析"]
resListerr.append(place)
except Exception as e:
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userLog.warning(parsed_data)
userLog.warning(place)
userLog.warning("文档纠错--错别字提取出错\n", e)
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continue
if (len(resListerr) > 0):
err.extend(resListerr)
# 打印总份数
yield "文档地名检查---文档解析完成"
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userLog.info(err)
yield err