171 lines
7.5 KiB
Python
171 lines
7.5 KiB
Python
from PyQt5 import QtCore
|
||
from PyQt5.QtCore import pyqtSignal
|
||
from pathlib import * # noqa: F403
|
||
from PyQt5.QtWidgets import QMessageBox
|
||
from docxtpl import DocxTemplate, InlineImage # type:ignore
|
||
from docx import Document
|
||
from docx.table import Table
|
||
from docx.text.paragraph import Paragraph
|
||
import io
|
||
|
||
|
||
class create_new_JtoS(QtCore.QThread):
|
||
sin_out = pyqtSignal(str)
|
||
PREFIX = r'{http://schemas.openxmlformats.org/wordprocessingml/2006/main}'
|
||
|
||
def __init__(self, parent):
|
||
super().__init__()
|
||
self.parent = parent
|
||
|
||
def run(self):
|
||
self.sin_out.emit("进入CPU测试记录转说明线程......")
|
||
self.sin_out.emit("开始转换......")
|
||
# 如果没有选择文件路径则退出
|
||
if not self.parent.open_file_name:
|
||
self.sin_out.emit('nofile')
|
||
self.parent.tabWidget.setEnabled(True)
|
||
return
|
||
|
||
# 打开模板文件进行渲染，然后就是用docxtpl生成用例
|
||
try:
|
||
tpl_path = Path.cwd( # noqa: F405
|
||
) / "need" / "document_templates" / "cpu新记录to说明模版.docx"
|
||
self.sin_out.emit('导入模板文件路径为：' + str(tpl_path))
|
||
tpl = DocxTemplate(tpl_path) # 模板导入成功
|
||
|
||
except: # noqa: E722
|
||
QMessageBox.warning(self.parent, "出错了", "导入模板出错请检查模板文件是否存在或名字不正确")
|
||
return
|
||
|
||
try:
|
||
doc = Document(self.parent.open_file_name[0])
|
||
self.sin_out.emit('已识别到CPU测试记录文件...')
|
||
except: # noqa: E722
|
||
self.sin_out.emit('open failed:选择的文档')
|
||
self.parent.tabWidget.setEnabled(True)
|
||
return
|
||
|
||
self.sin_out.emit('复制测试说明文档模板到本程序所在目录...')
|
||
curpath = Path.cwd() / 'need' # noqa: F405
|
||
shuoming_path_tmp = curpath / 'document_templates' / 'cpu新记录to说明模版.docx'
|
||
print(shuoming_path_tmp)
|
||
if shuoming_path_tmp.is_file():
|
||
self.sin_out.emit('已检测到有说明模板文件...')
|
||
else:
|
||
self.sin_out.emit('open failed:选择的文档')
|
||
return
|
||
|
||
# 获取表格数量
|
||
tables = doc.tables
|
||
tb_count = len(tables)
|
||
self.sin_out.emit('total:' + str(tb_count))
|
||
# 创建一个字典来储存单个用例
|
||
data_list = []
|
||
table_index = 1
|
||
# 获取表格数量
|
||
for ele in doc._element.body.iter():
|
||
data = {'type': ''}
|
||
if ele.tag.endswith('}p'):
|
||
for child in ele.iter():
|
||
if child.tag.endswith('pStyle'):
|
||
rank = child.get(f"{self.PREFIX}val")
|
||
t_ele = ele.findall(
|
||
f".//{self.PREFIX}t") # type:ignore
|
||
title = ''
|
||
for i in range(len(t_ele)):
|
||
if not t_ele[i].text.isdigit():
|
||
title = title + t_ele[i].text
|
||
data['type'] = rank
|
||
data['title'] = title
|
||
data_list.append(data)
|
||
|
||
elif ele.tag.endswith('}tbl'):
|
||
data = {
|
||
'name': '',
|
||
'biaoshi': '',
|
||
'zhuizong': [],
|
||
'zongsu': '',
|
||
'init': '',
|
||
'qianti': '',
|
||
'step': []
|
||
}
|
||
data['type'] = 'table'
|
||
table = Table(ele, doc)
|
||
if table.cell(1, 0).text == '测试用例名称':
|
||
self.sin_out.emit(str(table_index))
|
||
|
||
try:
|
||
self.sin_out.emit(str(table_index))
|
||
self.sin_out.emit(f'正在处理第{table_index}个表格')
|
||
# 1、获取测试用例名称
|
||
data['name'] = table.cell(1, 3).text
|
||
# 2、获取用例标识
|
||
data['biaoshi'] = table.cell(1, 9).text
|
||
# 3、获取追踪关系 注意word中换行为\r\x07
|
||
temp = table.cell(2, 3)
|
||
for tem in temp.paragraphs:
|
||
data['zhuizong'].append(tem.text)
|
||
# 4、获取综述
|
||
data['zongsu'] = table.cell(3, 3).text.replace(
|
||
'\n', '\a')
|
||
# 5、初始化
|
||
data['init'] = table.cell(4,
|
||
3).text.replace('\n', '\a')
|
||
# 6、获取前提与约束
|
||
data['qianti'] = table.cell(5, 3).text.replace(
|
||
'\n', '\a')
|
||
# 7、获取步骤信息-总行数减去12为步骤行数
|
||
row_count = len(table.rows)
|
||
step_count = row_count - 12
|
||
for j in range(step_count):
|
||
buzhou = {
|
||
'shuru': '',
|
||
'yuqi': '',
|
||
'num': '',
|
||
'image': '',
|
||
'is_image': '0'
|
||
}
|
||
buzhou['num'] = table.rows[8 + j].cells[0].text
|
||
if buzhou['num'] == '':
|
||
buzhou['num'] = j + 1
|
||
buzhou['shuru'] = table.rows[
|
||
8 + j].cells[2].text.replace('\n', '\a')
|
||
cel = table.rows[8 + j].cells[2]
|
||
if len(
|
||
cel._element.findall(
|
||
'.//{http://schemas.openxmlformats.org/wordprocessingml/2006/main}drawing'
|
||
)) > 0:
|
||
img_ele = cel._element.xpath('.//pic:pic')[0]
|
||
embed = img_ele.xpath('.//a:blip/@r:embed')[0]
|
||
related_part = doc.part.related_parts[embed]
|
||
image = related_part.image
|
||
# blob属性就是二进制图片属性
|
||
image_bytes = image.blob
|
||
buzhou['image'] = InlineImage(
|
||
tpl, io.BytesIO(image_bytes))
|
||
buzhou['is_image'] = '1'
|
||
buzhou['yuqi'] = table.rows[
|
||
8 + j].cells[4].text.replace('\n', '\a')
|
||
data['step'].append(buzhou)
|
||
# 8、最后加入data_list
|
||
data_list.append(data)
|
||
table_index += 1
|
||
except: # noqa: E722
|
||
self.sin_out.emit(f'第{table_index}个表格处理错误！')
|
||
table_index += 1
|
||
pass
|
||
# 开始渲染模板文件
|
||
try:
|
||
self.sin_out.emit('注意：如果生成文档没有标题，请检查您文档章节号格式是否正确!!!')
|
||
self.sin_out.emit('all_doned:')
|
||
context = {
|
||
"tables": data_list,
|
||
"renyuan": self.parent.lineEdit_17.text(),
|
||
}
|
||
tpl.render(context)
|
||
tpl.save("CPU新版反向生成说明.docx")
|
||
self.sin_out.emit('stopsuccess')
|
||
except: # noqa: E722
|
||
self.sin_out.emit('stoperror')
|
||
return
|