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baiduwkpro.py
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baiduwkpro.py
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# uncompyle6 version 3.8.0
# Python bytecode 3.8.0 (3413)
# Decompiled from: Python 3.8.8 (default, Apr 13 2021, 15:08:03) [MSC v.1916 64 bit (AMD64)]
# Embedded file name: download.py
# Compiled at: 2022-03-16 20:22:54
# Size of source mod 2**32: 257 bytes
import requests, os, re, json, time, shutil, base64, sys, threading, pptx
from pptx.util import Inches, Cm
from PIL import Image
def imgs2ppt(ppt_name, path):
ppt_file = pptx.Presentation()
pic_files = [fn for fn in os.listdir(path) if fn.endswith('.jpg')]
pic_files1 = []
for pic_file in pic_files:
pic_files1.append(path + '\\' + pic_file)
else:
im = Image.open(pic_files1[1])
ppt_file.slide_width = Inches(16)
ppt_file.slide_height = Inches(16 * im.size[1] / im.size[0])
im.close()
for fn in sorted(pic_files1):
slide = ppt_file.slides.add_slide(ppt_file.slide_layouts[6])
slide.shapes.add_picture(fn, Cm(0), Cm(0), ppt_file.slide_width, ppt_file.slide_height)
else:
ppt_file.save(ppt_name)
os.environ['NO_PROXY'] = '127.0.0.1'
max_speed = 20
t1 = int(time.time())
if t1 > 1673366400:
sys.exit('sorry, goodbye!')
else:
from io import BytesIO
def base64_to_rgb(base64_str):
"""
默认base64中的图像为rgb，直接转换成即可
:param base64:
:return:
"""
if isinstance(base64_str, bytes):
base64_str = base64_str.decode('utf-8')
imgdata = base64.b64decode(base64_str)
img = skimage.io.imread(imgdata, plugin='imageio')
return img
def saoma():
base64_qr = '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'
new_img_str = base64.b64decode(base64_qr)
sio = BytesIO(new_img_str)
img = Image.open(sio)
img.show()
while True:
os.system('cls')
print(" ------------------------------------------------------------------------------------------------------\n")
url = input('请输入网页url:')
if url is not '':
url = url.split('?')[0] + '?edtMode=2'
paperinfo = {}
cookies = {'BDUSS': '111'}
headers = {'Connection':'keep-alive',
'Pragma':'no-cache',
'Cache-Control':'no-cache',
'Upgrade-Insecure-Requests':'1',
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36',
'Accept':'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
'Sec-Fetch-Site':'none',
'Sec-Fetch-Mode':'navigate',
'Sec-Fetch-User':'?1',
'Sec-Fetch-Dest':'document',
'Accept-Language':'en-US,en;q=0.9,zh-CN;q=0.8,zh;q=0.7'}
response = requests.get(url, cookies=cookies, headers=headers)
page_data = re.findall('var pageData = (.*);[\\s\\S]*window.pageData = pageData', response.text)
page_data = json.loads(page_data[0])
title = re.search('<title>(.*) - 百度文库</title>', response.text).group(1)
if page_data['viewBiz']['docInfo']['fileType'] == 'pdf':
if type(page_data['readerInfo']['htmlUrls']) == type([]):
filetype = 'ppt'
else:
filetype = page_data['viewBiz']['docInfo']['fileType']
save_path = ''
docid = page_data['readerInfo']['docId']
paperinfo['savename'] = title
paperinfo['filetype'] = filetype
paperinfo['docid'] = docid
paperinfo['save_path'] = save_path
url = (url.split('?')[0] + '?foldPageNums=2&visibleFoldPage=1').replace('view', 'ndPureView')
response = requests.get(url, cookies=cookies, headers=headers)
page_data = re.findall('var pureViewPageData = (.*);[\\s\\S]*window.pureViewPageData = pureViewPageData', response.text)
page_data = json.loads(page_data[0])
if filetype in ('ppt', ):
download_url = page_data['readerInfo2019']['htmlUrls']
paperinfo['download_url'] = download_url
elif page_data['readerInfo2019']['tplKey'] == 'html_view' and filetype in ('word',
'pdf',
'excel'):
jsons = {}
pngs = {}
fonts_csss = {}
print('------------------------------------------')
print('一共', page_data['readerInfo2019']['page'], '页')
for pn in list(range(1, page_data['readerInfo2019']['page'] + 1, 50)):
url = f"https://wenku.baidu.com/browse/interface/getdocreader2019?doc_id={docid}&pn={pn}&rn=50"
response = requests.get(url, cookies=cookies, headers=headers)
page_data_others = json.loads(json.loads(response.text)['data']['htmlUrls'])
jsons.update({x['pageLoadUrl']:x['pageIndex'] for x in page_data_others['json']})
pngs.update({x['pageLoadUrl']:x['pageIndex'] for x in page_data_others['png']})
fonts_csss.update({'https://wkretype.bdimg.com/retype/pipe/' + docid + '?pn=' + str(x['pageIndex']) + '&t=ttf&rn=1&v=6' + x['param']:x['pageIndex'] for x in page_data_others['ttf']})
else:
download_url = {'fonts_csss':fonts_csss,
'jsons':jsons, 'pngs':pngs}
print('------------------------------------------')
print('已经获取到', len(jsons), '页')
print('------------------------------------------')
paperinfo['download_url'] = download_url
else:
if page_data['readerInfo2019']['tplKey'] == 'txt_view' and filetype in ('txt', ):
lines = re.findall('<p class="p-txt">(.*)</p>', response.text)
lines = [line for line in lines if line]
lines[-1] = lines[(-1)][:-1]
download_url = 'https://wkretype.bdimg.com/retype/text/' + docid + page_data['readerInfo2019']['md5sum'] + '&pn=2&rn=' + str(int(page_data['docInfo2019']['doc_info']['page']) - 1) + '&type=txt&rsign=' + page_data['readerInfo2019']['rsign'] + '&callback=cb&_=' + str(int(time.time()))
response = requests.get(download_url, cookies=cookies, headers=headers)
lines_others_json = json.loads(response.text[3:-1])
lines_others = [x['parags'][0]['c'][:-2] for x in lines_others_json]
lines = lines + lines_others
paperinfo['download_url'] = download_url
paperinfo['lines'] = lines
paperinfo['ext'] = 'txt'
def download_ppt(path, url, download_f=[], download_f_url=[]):
fp = open(path, 'wb')
fp.write(requests.get(url).content)
fp.close()
fp1 = open(path, 'rb')
if fp1.readline() == b'<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">\n':
download_f.append(path)
download_f_url.append(url)
fp1.close()
def get_ttfs(docid):
ttf2font = {}
ttfs = glob.glob1(docid, '*.json')
for ttf in ttfs:
with open(os.path.join(docid, ttf)) as (f):
data = json.load(f)
f.close()
ttf2font.update(data['font'])
else:
return ttf2font
def download_css(path, url):
response = requests.get(url)
fonts = re.findall("@font-face {src: url\\(data:font/opentype;base64,(.*?)\\)format\\(\\'truetype\\'\\);font-family: \\'(.*?)\\';", response.text)
for font in fonts:
fp = open(os.path.join(path, f"{font[1]}.ttf"), 'wb')
fp.write(base64.b64decode(font[0]))
fp.close()
def download_json(path, url):
response = requests.get(url)
idd = re.findall('wenku_(\\d+)\\((\\{.*\\})', response.text)[0][0]
jjson = re.findall('wenku_(\\d+)\\((\\{.*\\})', response.text)[0][1]
jsons.append(json.loads(re.search('wenku_[0-9]+\\((.*)\\)', response.text).group(1)))
fp = open(os.path.join(path, f"{idd}.json"), 'w')
fp.write(jjson)
fp.close()
def download_png(path, url):
try:
response = requests.get(url)
fp = open(path, 'wb')
fp.write(response.content)
fp.close()
except:
pass
def touchdir(dirpath):
if not os.path.exists(dirpath):
os.mkdir(dirpath)
return False
return True
def filterBadCharacter(string):
need_removed_strs = ['<em>', '</em>', '<', '>', '\\', '/', '?', ':', '"', '：', '|', '？', '*']
for item in need_removed_strs:
string = string.replace(item, '')
else:
try:
rule = re.compile('[𐀀-\U0010ffff]')
except:
rule = re.compile('[\ud800-\udbff][\udc00-\udfff]')
else:
string = rule.sub('', string)
return string.strip().encode('utf-8', 'ignore').decode('utf-8')
from merge import *
from alive_progress import alive_bar
touchdir(paperinfo['docid'])
from concurrent.futures import ThreadPoolExecutor
if paperinfo['filetype'] in ('ppt', ):
text = '[PageSize]: %d/%d'
download_f = []
download_f_url = []
with alive_bar((len(paperinfo['download_url'])), title='JPG', length=40) as (bar):
with ThreadPoolExecutor(max_workers=max_speed) as (executor):
for idx, download_url in enumerate(paperinfo['download_url']):
executor.submit(download_ppt, os.path.join(paperinfo['docid'], f"{idx:04}.jpg"), download_url, download_f, download_f_url).add_done_callback(lambda func: bar())
congshicishu = 5
if congshicishu:
if len(download_f) != 0:
print('------------------------------------------')
print('----下载失败列表----\n', download_f)
print(f"----尝试第{6 - congshicishu}次重新下载----")
print('------------------------------------------')
for i in range(len(download_f_url)):
download_png(os.path.join('.', download_f[i]), download_f_url[i])
fp = open(os.path.join('.', download_f[i]), 'rb')
if fp.readline() != b'<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">\n':
print(download_f[i], '下载成功')
del download_f[i]
del download_f_url[i]
fp.close()
else:
print('------------------------------------------')
print('正在合成ppt, 请稍后')
break
congshicishu = congshicishu - 1
time.sleep(1)
else:
imagepaths = [os.path.join(paperinfo['docid'], f"{idx:04}.jpg") for idx in range(len(paperinfo['download_url']))]
imgs2ppt(f"{save_path}{paperinfo['savename']}.pptx", os.path.join(paperinfo['docid']))
shutil.rmtree(paperinfo['docid'])
elif paperinfo['filetype'] in ('word', 'pdf', 'excel'):
paperinfo['ext'] = 'pdf'
if len(paperinfo['download_url']['fonts_csss']):
with alive_bar((len(paperinfo['download_url']['fonts_csss'])), title='CSS ', length=40) as (bar):
with ThreadPoolExecutor(max_workers=max_speed) as (executor):
for idx, _ in enumerate(range(len(paperinfo['download_url']['fonts_csss']))):
executor.submit(download_css, paperinfo['docid'], paperinfo['download_url']['fonts_csss'][(idx + 1)]).add_done_callback(lambda func: bar())
text, jsons = '[PageSize-Jsons]: %d/%d', []
if len(paperinfo['download_url']['jsons']):
with alive_bar((len(paperinfo['download_url']['jsons'])), title='JSON', length=40) as (bar):
with ThreadPoolExecutor(max_workers=max_speed) as (executor):
for idx, _ in enumerate(range(len(paperinfo['download_url']['jsons']))):
executor.submit(download_json, paperinfo['docid'], paperinfo['download_url']['jsons'][(idx + 1)]).add_done_callback(lambda func: bar())
text = '[PageSize-Pngs]: %d/%d'
if len(paperinfo['download_url']['pngs']):
with alive_bar((len(paperinfo['download_url']['jsons'])), title='PNG ', length=40) as (bar):
with ThreadPoolExecutor(max_workers=max_speed) as (executor):
for idx, _ in enumerate(range(len(paperinfo['download_url']['jsons']))):
try:
executor.submit(download_png, os.path.join(paperinfo['docid'], f"{idx + 1}.png"), paperinfo['download_url']['pngs'][(idx + 1)]).add_done_callback(lambda func: bar())
except:
pass
print('------------------------------------------')
go(paperinfo)
elif paperinfo['filetype'] in ('txt', ):
text, fp = '[PageSize]: %d/%d', open(f"{save_path}{paperinfo['savename']}.{paperinfo['ext']}", 'w')
with alive_bar(manual=True) as (bar):
for idx, line in enumerate(paperinfo['lines']):
fp.write(line)
bar.text(text % (idx + 1, len(paperinfo['lines'])))
bar(min((idx + 1) / len(paperinfo['lines']), 1))
shutil.rmtree(paperinfo['docid'])