作者：李嘉乐
 本次任务完成时间：2019年5月1日～2019年5月8日
 开发工具与关键技术： VS2015、C#，windows窗体开发
 
首先打开一个有内容的文档。根据每节内容来进行复制到新的word文档中。
 代码如下：
 
 

 
我需要将模板的全部内容复制到新文档中。问题是不能复制表。目前,我的代码负责复制像粗体和斜体这样的样式。
 
def get_para_data(output_doc_name, paragraph):
 
output_para = output_doc_name.add_paragraph()
 
for run in paragraph.runs:
 
output_run = output_para.add_run(run.text)
 
# Run's bold data
 
output_run.bold = run.bold
 
# Run's italic data
 
output_run.italic = run.italic
 
# Run's underline data
 
output_run.underline = run.underline
 
# Run's color data
 
output_run.font.color.rgb = run.font.color.rgb
 
# Run's font data
 
output_run.style.name = run.style.name
 
# Paragraph's alignment data
 
output_para.paragraph_format.alignment =
 
paragraph.paragraph_format.alignment
 
input_doc=Document('templatemain.docx')
 
output_doc=Document()
 
for para in input_doc.paragraphs:
 
get_para_data(output_doc, para)
 
output_doc.save('OutputDoc.docx')
 
我找到的复制表的大部分帮助是附加它们。但我正在将模板复制到一个空白文档中,所以这对我毫无帮助。

 
本文介绍在java程序中如何复制word文档。复制方法均以带格式复制，代码示例将从以下要点展示：
 
复制word正文内容，可支持包括文本、图片、表格、超链接、书签、批注、形状、编号列表、脚注、尾注等在内的多种元素。复制时，可复制整篇文档内容和复制指定段落内容
 
复制word页眉页脚，包括页眉页脚中的文本、图片、页码域等等
 
复制word水印效果，包括文本水印、图片水印
 
工具：free spire.doc for java(免费版)可。参考如下导入效果：
 

 
用于测试的两个文档如下，将左边文档内容复制到右边的文档：
 

 
【示例1】复制word正文内容
 
1.1 复制整篇文档内容
 
import com.spire.doc.*;
 
public class copydoc {
 
public static void main(string[] args) {
 
//加载文档1
 
document doc1 = new document();
 
doc1.loadfromfile("test.docx");
 
//加载文档2
 
document doc2 = new document();
 
doc2.loadfromfile("target.docx");
 
//遍历文档1中的所有子对象
 
for (int i = 0; i < doc1.getsections().getcount(); i++) {
 
section section = doc1.getsections().get(i);
 
for( int j = 0;j< section.getbody().getchildobjects().getcount();j++)
 
{
 
object object = section.getbody().getchildobjects().get(j);
 
//复制文档1中的正文内容添加到文档2
 
doc2.getsections().get(0).getbody().getchildobjects().add(((documentobject) object).deepclone());
 
}
 
}
 
//保存文档2
 
doc2.savetofile("copydoc.docx", fileformat.docx_2013);
 
doc2.dispose();
 
}
 
}
 
复制效果(这里复制的效果不含水印、页眉页脚等内容)：
 

 
1.2 复制指定段落内容
 
import com.spire.doc.*;
 
import com.spire.doc.documents.paragraph;
 
public class copypara {
 
public static void main(string[] args) {
 
//加载文档1
 
document doc1 = new document();
 
doc1.loadfromfile("test.docx");
 
//获取文档1中的第三段
 
section section1 = doc1.getsections().get(0);
 
paragraph paragraph = section1.getparagraphs().get(2);
 
//加载文档2，获取section
 
document doc2 = new document();
 
doc2.loadfromfile("target.docx");
 
section section2 = doc2.getsections().get(0);
 
//复制文档1中段落，添加到文档2
 
paragraph newparagraph = (paragraph) paragraph.deepclone();
 
section2.getparagraphs().add(newparagraph);
 
//保存文档2
 
doc2.savetofile("copypara.docx",fileformat.docx_2013);
 
doc2.dispose();
 
}
 
}
 
段落复制结果：
 

 
【示例2】复制word页眉页脚
 
import com.spire.doc.*;
 
public class copyheaderfooter {
 
public static void main(string[] args) {
 
//加载文档1
 
document doc1 = new document();
 
doc1.loadfromfile("test.docx");
 
//获取section
 
section section1 = doc1.getsections().get(0);
 
//获取文档1的页眉页脚
 
headerfooter header = section1.getheadersfooters().getheader();
 
headerfooter footer = section1.getheadersfooters().getfooter();
 
//加载文档2
 
document doc2 = new document();
 
doc2.loadfromfile("target.docx");
 
//遍历文档2的section
 
for (int i = 0; i< doc2.getsections().getcount();i++)
 
{
 
section section2 = doc2.getsections().get(i);
 
//遍历页眉中的对象
 
for(int j = 0 ; j< header.getchildobjects().getcount();j++)
 
{
 
//获取页眉中的所有子对象
 
object object1 = header.getchildobjects().get(j);
 
//复制文档1的页眉添加到文档2
 
section2.getheadersfooters().getheader().getchildobjects().add(((documentobject) object1).deepclone());
 
}
 
//同理复制页脚
 
for(int z = 0 ; z< footer.getchildobjects().getcount();z++)
 
{
 
object object2 = footer.getchildobjects().get(z);
 
section2.getheadersfooters().getfooter().getchildobjects().add(((documentobject) object2).deepclone());
 
}
 
}
 
//保存文档2
 
doc2.savetofile("copyheaderfooter.docx",fileformat.docx_2013);
 
doc2.dispose();
 
}
 
}
 
页眉复制效果：
 

 
页脚复制效果：
 

 
【示例3】复制word水印
 
import com.spire.doc.*;
 
public class copywatermark {
 
public static void main(string[] args) {
 
//加载文档1
 
document doc1 = new document();
 
doc1.loadfromfile("test.docx");
 
//加载文档2
 
document doc2 = new document();
 
doc2.loadfromfile("target.docx");
 
//获取文档1的水印效果，设置到文档2
 
doc2.setwatermark(doc1.getwatermark());
 
//保存文档2
 
doc2.savetofile("copywatermark.docx",fileformat.docx_2013);
 
doc2.dispose();
 
}
 
}
 
水印复制效果(此方法均适用于复制文本水印或图片水印)：
 

 
注：对于文档结构比较复制的word，可综合以上方法来进行复制，查看复制效果。
 
(完)
 
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I have the following situation:
 
I have several hundred word files that contain company information. I would like to search these files for specific words to find specific paragraphs and copy just these paragraphs to new word files. Basically I just need to reduce the original couple hundred documents to a more readable size each.
 
The documents that I have are located in one directory and carry different names. In each of them I want to extract particular information that I need to define individually.
 
To go about this I started with the following code to first write all file names into a .csv file:
 
# list all transcript files and print names to .csv
 
import os
 
import csv
 
with open("C:\\Users\\Stef\\Desktop\\Files.csv", 'w') as f:
 
writer = csv.writer(f)
 
for path, dirs, files in os.walk("C:\\Users\\Stef\\Desktop\\Files"):
 
for filename in files:
 
writer.writerow([filename])
 
This works perfectly. Next I open Files.csv and edit the second column for the keywords that I need to search for in each document.
 
See picture below for how the .csv file looks:
 
The couple hundred word files I have, are structured with different layers of headings. What I wanted to do now was to search for specific headings with the keywords I manually defined in the .csv and then copy the content of the following passage to a new file. I uploaded an extract from a word file, "Presentation" is a 'Heading 1' and "North America" and "China" are 'Heading 2'.
 
In this case I would like for example to search for the 'Headline 2' "North America" and then copy the text that is below ("In total [...] diluted basis.) to a new word file that has the same name as the old one just an added "_clean.docx".
 
I started with my code as follows:
 
import os
 
import glob
 
import csv
 
import docx
 
os.chdir('C:\\Users\\Stef\\Desktop')
 
f = open('Files.csv')
 
csv_f = csv.reader(f)
 
file_name = []
 
matched_keyword = []
 
for row in csv_f:
 
file_name.append(row[0])
 
matched_keyword.append(row[1])
 
filelist = file_name
 
filelist2 = matched_keyword
 
for i, j in zip(filelist, filelist2):
 
rootdir = 'C:\\Users\\Stef\\Desktop\\Files'
 
doc = docx.Document(os.path.join(rootdir, i))
 
After this I was not able to find any working solution. I tried a few things but could not succeed at all. I would greatly appreciate further help.
 
I think the end should then again look something like this, however not quite sure.
 
output =
 
output.save(i +"._clean.docx")
 
Have considered the following questions and ideas:
 
解决方案
 
Just figured something similar for myself, so here is a complete working example for you. Might be a more pythonic way of doing it…
 
from docx import Document
 
inputFile = 'soTest.docx'
 
try:
 
doc = Document(inputFile)
 
except:
 
print(
 
"There was some problem with the input file.\nThings to check…\n"
 
"- Make sure the file is a .docx (with no macros)"
 
)
 
exit()
 
outFile = inputFile.split("/")[-1].split(".")[0] + "_clean.docx"
 
strFind = 'North America'
 
# paraOffset used in the event the paragraphs are not adjacent
 
paraOffset = 1
 
# document.paragraph returns a list of objects
 
parasFound = []
 
paras = doc.paragraphs
 
# use the list index find the paragraph immediately after the known string
 
# keep a list of found paras, in the event there is more than 1 match
 
parasFound = [paras[index+paraOffset]
 
for index in range(len(paras))
 
if (paras[index].text == strFind)]
 
# Add paras to new document
 
docOut = Document()
 
for para in parasFound:
 
docOut.add_paragraph(para.text)
 
docOut.save(outFile)
 
exit()
 
I've also added a image of the input file, showing that North America appears in more than 1 place.