61 KiB
Executable File
61 KiB
Executable File
In [1]:
import os,sys,shutil
import openpyxl
import math
fi_xls = os.getcwd() + '/data/岳阳兴长.xlsx'
fi_path = os.getcwd() + '/file/220427'
old = []
dict1 = {}
wb = openpyxl.load_workbook(fi_xls)
sheet = wb.active
depart = []
for n in range(2,sheet.max_row+1):
m_name = str(sheet.cell(n,1).value)
m_depart = sheet.cell(n,5).value
if m_depart not in depart:
depart.append(sheet.cell(n,5).value)
dict1[int(m_name.split('.')[0])] = [sheet.cell(n,2).value.strip(),sheet.cell(n,5).value.strip()]
# 创建部门办公室
m_path = os.getcwd()+'/file/220427/new'
for pn in depart:
if not os.path.exists(m_path + '/' + pn):
os.mkdir(m_path + '/' + pn)
fl=os.listdir(fi_path)
for fn in fl:
if os.path.isfile(fi_path + '/' + fn):
ofn = int(fn.split('.')[0])
old.append(ofn)
old.sort()
for n in old:
o_name = f'{fi_path}/{n}.pdf'
n_name = f'{fi_path}/new/{dict1[n][1]}/{str(n).rjust(5,"0")}-{dict1[n][0]}.pdf'
if not os.path.exists(n_name):
shutil.copyfile(o_name,n_name)
print(n_name)
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/home/songyi/python/jupyterlab/jupyter/file/220427/new/行政管理部/00389-陈蕊晗.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/行政管理部/00390-王海峰.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/行政管理部/00391-王纯初.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/行政管理部/00392-刘玲.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/行政管理部/00394-王珏.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/行政管理部/00397-韩双双.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/行政管理部/00400-关杰.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/行政管理部/00401-刘丽丹.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/行政管理部/00402-曹盛兰.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/行政管理部/00403-佘新明.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/行政管理部/00404-宋卫凤.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/行政管理部/00405-颜婷婷.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00406-陈相.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00407-倪文强.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00408-刘林.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00409-黄优东.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00410-王钟庆.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00411-陶沛.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00412-蒋帅.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00413-杨向阳.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00414-龚华.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00415-吴斌.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00416-李莉.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00417-吴雄.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00418-吴曦.pdf 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/home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00432-朱金华.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00433-郭意.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00434-马琳.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00435-张亮.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00436-杨亚.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00437-王琼.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00438-周涵海.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00439-许丹伟.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00440-李昱瑾.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00441-周弘毅.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/销售华中长岭油库/00443-肖慧.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/能源公司/00501-袁正兴.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/行政管理部/00502-刘华.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/安全环保部/00503-王其海.pdf /home/songyi/python/jupyterlab/jupyter/file/220427/new/安全环保部/00504-何强.pdf
In [ ]:
import fitz
import os
def covert2pic(zoom):
if os.path.exists('.pdf'): # 临时文件，需为空
os.removedirs('.pdf')
os.mkdir('.pdf')
for pg in range(totaling):
page = doc[pg]
zoom = int(zoom) #值越大，分辨率越高，文件越清晰
rotate = int(0)
print(page)
trans = fitz.Matrix(zoom / 100.0, zoom / 100.0).preRotate(rotate)
pm = page.getPixmap(matrix=trans, alpha=False)
lurl='.pdf/%s.jpg' % str(pg+1)
pm.writePNG(lurl)
doc.close()
def pic2pdf(obj):
doc = fitz.open()
for pg in range(totaling):
img = '.pdf/%s.jpg' % str(pg+1)
imgdoc = fitz.open(img) # 打开图片
pdfbytes = imgdoc.convertToPDF() # 使用图片创建单页的 PDF
os.remove(img)
imgpdf = fitz.open("pdf", pdfbytes)
doc.insertPDF(imgpdf) # 将当前页插入文档
if os.path.exists(obj): # 若文件存在先删除
os.remove(obj)
doc.save(obj) # 保存pdf文件
doc.close()
def pdfz(sor, obj, zoom):
covert2pic(zoom)
pic2pdf(obj)
sor = "5.pdf" # 需要压缩的PDF文件
obj = "new-" + sor
doc = fitz.open(sor)
totaling = doc.pageCount
zoom = 150 # 清晰度调节，缩放比率
pdfz(sor, obj, zoom)
os.removedirs('.pdf')
In [ ]:
from pdf2image import convert_from_path, convert_from_bytes
import os,sys
import tempfile
from pdf2image.exceptions import (
PDFInfoNotInstalledError,
PDFPageCountError,
PDFSyntaxError
)
#images = convert_from_path('1.pdf',dpi=200,fmt='jpg', output_folder='./sample_data')
with tempfile.TemporaryDirectory() as path:
images_from_path = convert_from_path('5.pdf', dpi=100,fmt='jpg', output_folder='./pic')
print(path)In [ ]:
import img2pdf
import os,sys
import glob
fl=glob.glob('./pic/*.jpg')
fl.sort()
a4inpt = (img2pdf.mm_to_pt(210),img2pdf.mm_to_pt(297))
layout_fun = img2pdf.get_layout_fun(a4inpt)
with open("name.pdf","wb") as f:
f.write(img2pdf.convert(fl,layout_fun=layout_fun))In [ ]:
import glob
import fitz # 导入本模块需安装pymupdf库
import os,sys
def pic2pdf_1(img_path, pdf_path, pdf_name):
doc = fitz.open()
fl=os.listdir(img_path)
fl.sort()
width, height = fitz.PaperSize("a4")
for img in fl:
fn = img_path+'/'+img
if os.path.isfile(fn):
imgdoc = fitz.open(img_path+'/'+img)
pdfbytes = imgdoc.convertToPDF()
imgpdf = fitz.open("pdf", pdfbytes,width = width, height = height)
doc.insertPDF(imgpdf)
doc.save(pdf_path +'/'+ pdf_name)
doc.close()
img_path = os.getcwd() +'/pic'
pdf_path = os.getcwd()
pic2pdf_1(img_path=img_path, pdf_path=pdf_path, pdf_name='1.pdf')In [ ]:
#将指定目录下图片文件进行文字识别
import os,sys
from aip import AipOcr
import glob
""" 你的 APPID AK SK """
APP_ID = '17553946'
API_KEY = 'IMC1ss3Tyo3vEAdVH6jgcdv2'
SECRET_KEY = 'Iua6KdhuDtz159rjzGeFGpqgjhnoU0zZ'
client = AipOcr(APP_ID, API_KEY, SECRET_KEY)
def get_file_content(filePath):
with open(filePath, 'rb') as fp:
return fp.read()
options = {}
options["language_type"] = "CHN_ENG"
options["detect_direction"] = "true"
options["detect_language"] = "true"
options["probability"] = "true"
fi_path = os.getcwd()+'/pic'
fl = glob.glob(f'{fi_path}/*.jpg')
fl.sort()
for fl1 in fl:
file_name = fl1
image = get_file_content(file_name)
result= client.basicGeneral(image, options)
if 'words_result' in result:
print('\n'.join([w['words'] for w in result['words_result']]))
print('\n')
In [ ]:
import docx
import json
Doc = docx.Document(r"症状对症处方选穴.docx")
#print("檔案內含段落數：",len(Doc.paragraphs),"\n")
testList = []
text1 = []
dict1 = {}
for text in Doc.paragraphs:
testList.append(text)
i = 0
for pg in testList:
if len(pg.text) >0:
s = ''.join(pg.text.split())
if s[0:1] == '第':
i += 1
n = 0
dict1.setdefault(i,{})
dict1[i]['title'] = pg.text.split()[1]
dict1[i]['sub'] = {}
#dict1[i]['title'].setdefault(i,{})
elif s[0:1] == '（':
sub = s.split('）')[1]
dict2 = {}
dict1[i]['sub'].setdefault(sub,[])
else:
dict1[i]['sub'][sub].append(s)
filename = '症状对症处方选穴.json'
with open(filename,'w') as fl:
json.dump(dict1, fl,ensure_ascii=False)
print('ok') In [ ]:
import docx
import json
Doc = docx.Document(r"常见疾病辨病处方选穴.docx")
#print("檔案內含段落數：",len(Doc.paragraphs),"\n")
testList = []
text1 = []
dict1 = {}
for text in Doc.paragraphs:
testList.append(text)
i = 0
for pg in testList:
if len(pg.text) >0:
s = ''.join(pg.text.split())
if s[0:1] == '第':
i += 1
n = 0
dict1.setdefault(i,{})
dict1[i]['title'] = pg.text.split('节')[1]
dict1[i]['sub'] = {}
#dict1[i]['title'].setdefault(i,{})
elif s[0:1] == '（':
sub = s.split('）')[1]
dict2 = {}
dict1[i]['sub'].setdefault(sub,[])
else:
dict1[i]['sub'][sub].append(s)
filename = '常见疾病辨病处方选穴.json'
with open(filename,'w') as fl:
json.dump(dict1, fl,ensure_ascii=False)
print('ok') In [ ]:
import json
import re
filename = '症状对症处方选穴.json'
pattern = r'[\d\.]'
mo =r'[\u4e00-\u9fa5]+'
dict2 = {}
with open(filename,'r') as fl:
dict1 = json.load(fl)
for k,v in dict1.items():
m_title = v['title']
for k1,v1 in v['sub'].items():
sub_title = k1
s = ''
for mx in v1:
s = s + mx
list1 = re.split(pattern, s)
list2 = []
for ss in list1:
if ss != '':
list3 = re.findall(mo,ss)
list2.append(list3)
#print(m_title,sub_title,list2)
dict2.setdefault(m_title,{})
dict2[m_title][sub_title] = list2
filename = 'new_症状对症处方选穴.json'
with open(filename,'w') as fl:
json.dump(dict2, fl,ensure_ascii=False)
print('ok')
In [ ]:
import openpyxl
from docxtpl import DocxTemplate
wb = openpyxl.load_workbook('file/火车餐厅人员信息表1.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
list1 = []
context = {}
for n in range(2, sheet.max_row+1):
dict1 = {}
dict1['xh'] = sheet.cell(n,1).value
dict1['xm'] = sheet.cell(n,2).value
dict1['sfzhm'] = sheet.cell(n,3).value
dict1['dh'] = sheet.cell(n,4).value
dict1['cx'] = sheet.cell(n,5).value
dict1['xzdz'] = sheet.cell(n,6).value
list1.append(dict1)
context['info'] = list1
tpl = DocxTemplate("file/火车餐厅人员信息表.docx")
tpl.render(context)
tpl.save('file/test1.docx')In [ ]:
from newpdfminer.pdfparser import PDFParser, PDFDocument
from newpdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from newpdfminer.converter import PDFPageAggregator
from newpdfminer.layout import LAParams, LTTextBox
from newpdfminer.pdfinterp import PDFTextExtractionNotAllowed
path = "file/211027/114.pdf"
# 用文件对象来创建一个pdf文档分析器
praser = PDFParser(open(path, 'rb'))
# 创建一个PDF文档
doc = PDFDocument()
# 连接分析器 与文档对象
praser.set_document(doc)
doc.set_parser(praser)
# 提供初始化密码
# 如果没有密码 就创建一个空的字符串
doc.initialize()
# 检测文档是否提供txt转换，不提供就忽略
if not doc.is_extractable:
raise PDFTextExtractionNotAllowed
else:
# 创建PDf 资源管理器 来管理共享资源
rsrcmgr = PDFResourceManager()
# 创建一个PDF设备对象
laparams = LAParams()
device = PDFPageAggregator(rsrcmgr, laparams=laparams)
# 创建一个PDF解释器对象
interpreter = PDFPageInterpreter(rsrcmgr, device)
# 循环遍历列表，每次处理一个page的内容
for page in doc.get_pages():
interpreter.process_page(page)
# 接受该页面的LTPage对象
layout = device.get_result()
# 这里layout是一个LTPage对象，里面存放着这个 page 解析出的各种对象
# 包括 LTTextBox, LTFigure, LTImage, LTTextBoxHorizontal 等
for x in layout:
if isinstance(x, LTTextBox):
print(x.get_text().strip())In [ ]:
import pdfplumber
from PIL import Image
# 读取 PDF 文档
pdf = pdfplumber.open("5.pdf")
# 获取页数
print("总页数：",len(pdf.pages))
print("-----------------------------------------")
# 读取第 4 页；索引从 1 开始
page = pdf.pages[0]
print("本页：",page.page_number + 1)
print("-----------------------------------------")
# 单页文件存储为图片
#im = page.to_image()
#im.save('./5_1.png', format='PNG')
# 单页文件中原始图片读取，不能读取图表文件
#imgs = page.images
#for i, img in enumerate(imgs):
# size = img['width'], img['height']
# data = img['stream'].get_data()
# out_path = f'003pdf_images_{i}.png'
# with open(out_path, 'wb') as fimg_out:
# fimg_out.write(data)
# 导出第 4 页文本
text = page.extract_text()
print(text)
In [ ]:
import fitz
import re
import os
file_path = '5.pdf' # PDF 文件路径
dir_path = './data' # 存放图片的文件夹
def pdf2image1(path, pic_path):
checkIM = r"/Subtype(?= */Image)"
pdf = fitz.open(path)
lenXREF = pdf.xref_length()
count = 1
for i in range(1, lenXREF):
text = pdf.xref_object(i)
isImage = re.search(checkIM, text)
if not isImage:
continue
pix = fitz.Pixmap(pdf, i)
new_name = f"img_{count}.png"
pix.writePNG(os.path.join(pic_path, new_name))
count += 1
pix = None
pdf2image1(file_path, dir_path)In [ ]:
import os, sys
from PyPDF2 import PdfFileWriter, PdfFileReader, PdfFileMerger
file = "file/211027/114.pdf"
pdf_reader = PdfFileReader(file)
n = pdf_reader.numPages
print(n)
pdfWriter = PdfFileWriter()
pageObj = pdf_reader.getPage(n-2)
pageObj.scaleBy(1)
pdfWriter.addPage(pageObj)
with open('split_114.pdf', 'wb') as pdfOutputFile:
pdfWriter.write(pdfOutputFile)
In [ ]:
import fitz
import os
file = "file/211027/114.pdf"
doc = fitz.open(file)
n = doc.page_count
print(n)
doc2 = fitz.open()
page = doc[n - 2]
#doc2.insert_pdf(doc, to_page = n-2) # first 10 pages
doc2.insert_pdf(doc, from_page = n-2,to_page = n-2)
#print(type(page))
#doc2.insert_pdf(page) # last 10 pages
doc2.save("first-and-last-10.pdf")
In [ ]:
import pdfplumber
import json
import re
file = "file/1_中石化北海炼化2020年团体体检报告.pdf"
pdf = pdfplumber.open(file)
list1 = []
dict1 = {}
n = 1
for page in pdf.pages:
# print(page.extract_text())
for pdf_table in page.extract_tables():
list2 = []
table = []
cells = []
for row in pdf_table:
if not any(row):
# 如果一行全为空，则视为一条记录结束
if any(cells):
table.append(cells)
cells = []
elif all(row):
# 如果一行全不为空，则本条为新行，上一条结束
if any(cells):
table.append(cells)
cells = []
table.append(row)
else:
if len(cells) == 0:
cells = row
else:
for i in range(len(row)):
if row[i] is not None and not cells[i]:
cells[i] = row[i]
elif row[i] is not None and cells[i]:
table.append(cells)
cells = row
#cells[i] = row[i]
break
elif row[i] is None and cells[i]:
continue
elif row[i] is None and not cells[i]:
#cells[i] = row[i]
continue
# cells[i] = row[i] if cells[i] is None else cells[i] + row[i]
list2 = []
for row in table:
data =[re.sub('\s+', '', cell) if cell is not None else None for cell in row]
print(data)
#print(json.dumps(data_list, indent=2, ensure_ascii=False))
#with open('Test1.json','a',encoding="utf-8") as file: # json文件的存放位置
# json.dump(data_list, file, ensure_ascii=False)
list2.append(data)
if len(list2) > 0:
dict1[n] = list2
#print(dict1)
#list1.append(list2)
n +=1
with open('Test1.json','w',encoding="utf-8") as file:
json.dump(dict1, file, ensure_ascii=False)
pdf.close()In [ ]:
import pdfplumber
import json
import re
file = "file/1_中石化北海炼化2020年团体体检报告.pdf"
pdf = pdfplumber.open(file)
list1 = []
dict1 = {}
n = 1
for page in pdf.pages:
for pdf_table in page.extract_tables():
list2 = []
table = []
cells = []
for row in pdf_table:
print(row)
print('******')
print('--------')
In [ ]:
import camelot
import json
import re
file = "file/1_中石化北海炼化2020年团体体检报告.pdf"
tables = camelot.read_pdf(file, pages='3',flavor='stream')
# 2.导出pdf所有的表格为csv文件
tables.export('foo.json', f='json')
print('ok!')In [ ]: