108 lines
3.8 KiB
Python
108 lines
3.8 KiB
Python
import hashlib
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import json
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import os
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from utils.HtmlUtils import htmlUtils
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from utils.FileUtils import imageUtils
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from utils.comic.ComicInfo import comicInfo
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from utils.Ntfy import ntfy
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class comicCommon:
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@classmethod
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def comicChapterDownload(cls,chapter_url):
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chapter_url = chapter_url+"?shunt=2"
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img_list =htmlUtils.xpathData("//div[@class='panel-body']/div/div[contains(@class,'center scramble-page')]/img/@data-original",url=chapter_url,update=True)
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pages_imgs =htmlUtils.xpathData("//div[@class='center scramble-page']/@id",url=chapter_url)
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comicInfo.setPages(pages_imgs)
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comicInfo.writeComicInfoXML(comicInfo.str_chapter)
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#print("img_list:",len(img_list))
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list_img = []
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list_file_name = []
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for i in img_list:
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img_url= i
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img_name = os.path.basename(img_url).split('.')[0]
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aid = int(comicInfo.getValue1())
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if aid > 220980:
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#if is_scramble:
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img_name = "scramble="+str(cls.get_scramble_num(aid,img_name))+"_"+img_name
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#path_img = "%s\\%s.jpg" % (cls.aid, img_name)
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path_img = "%s.jpg" % (img_name)
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list_img.append(img_url)
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list_file_name.append(path_img)
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comicInfo.comicChapterDownload(list_img,list_file_name)
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@classmethod
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def get_md5(cls,num):
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result1 = hashlib.md5(num.encode()).hexdigest()
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print('get_md5-', result1)
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return result1
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@classmethod
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def get_scramble_num(cls,e, t):
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#print(type(e),e, type(t),t)
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a = 10
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try:
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num_dict = {}
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for i in range(10):
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num_dict[i] = i * 2 + 2
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if (int(e) >= 268850):
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n = str(e) + t;
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# switch(n=(n = (n = md5(n)).substr(-1)), n %= 10) {
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#print("n=",n)
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tmp = ord(cls.get_md5(n)[-1])
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result = num_dict[tmp % 10]
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a = result
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return a
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except Exception as e:
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print(e.__traceback__.tb_lineno,e)
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return False
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@classmethod
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def encode_scramble_image(cls,imgpath):
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image = Image.open(imgpath)
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w, h = image.size
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#image.show()
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file_str = str(imgpath).split("=")
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#10_29.jpg
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base_dir = file_str[0].replace("scramble","")
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base_name = file_str[-1]
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base_fn = base_name.split("_")
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save_name = base_fn[1]
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save_name_delesu = save_name.split(".")[0]
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blocks = int(base_fn[0])
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img_type = os.path.basename(imgpath).split('.')[-1]
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save_path = os.path.join(os.path.dirname(imgpath),save_name_delesu+"."+img_type)
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# print(type(aid),type(img_name))
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if blocks:
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s = blocks # 随机值
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# print(s)
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l = h % s # 切割最后多余的值
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box_list = []
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hz = 0
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for i in range(s):
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c = math.floor(h / s)
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g = i * c
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hz += c
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h2 = h - c * (i + 1) - l
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if i == 0:
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c += l;hz += l
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else:
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g += l
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box_list.append((0, h2, w, h - g))
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# print(box_list,len(box_list))
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item_width = w
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# box_list.reverse() #还原切图可以倒序列表
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# print(box_list, len(box_list))
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newh = 0
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image_list = [image.crop(box) for box in box_list]
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# print(box_list)
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newimage = Image.new("RGB", (w, h))
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for image in image_list:
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# image.show()
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b_w, b_h = image.size
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newimage.paste(image, (0, newh))
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newh += b_h
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newimage.save(save_path)
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if os.path.exists(imgpath):
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os.remove(imgpath) |