93 lines
2.7 KiB
Python
93 lines
2.7 KiB
Python
#!/usr/bin/env python3
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import os
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import time
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import collections
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from rarfile import rarfile
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class ParseCBR:
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def __init__(self, filename, temp_dir, file_md5):
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self.filename = filename
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self.book = None
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self.temp_dir = temp_dir
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self.file_md5 = file_md5
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def read_book(self):
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try:
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self.book = rarfile.RarFile(self.filename)
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except: # Specifying no exception types might be warranted here
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print('Cannot parse ' + self.filename)
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return
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def get_title(self):
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filename = os.path.basename(self.filename)
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filename_proper = os.path.splitext(filename)[0]
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return filename_proper
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def get_author(self):
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return None
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def get_year(self):
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creation_time = time.ctime(os.path.getctime(self.filename))
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creation_year = creation_time.split()[-1]
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return creation_year
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def get_cover_image(self):
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# The first image in the archive may not be the cover
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# It is implied, however, that the first image in order
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# will be the cover
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image_list = [i.filename for i in self.book.infolist() if not i.isdir()]
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image_list.sort()
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cover_image_filename = image_list[0]
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for i in self.book.infolist():
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if not i.isdir():
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if i.filename == cover_image_filename:
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cover_image = self.book.read(i)
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return cover_image
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def get_isbn(self):
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return None
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def get_contents(self):
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# TODO
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# CBR files containing multiple directories for multiple chapters
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file_settings = {
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'images_only': True}
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extract_path = os.path.join(self.temp_dir, self.file_md5)
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contents = collections.OrderedDict()
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# This is a brute force approach
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# Maybe try reading from the file as everything
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# matures a little bit more
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contents = collections.OrderedDict()
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# I'm currently choosing not to keep multiple files in memory
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self.book.extractall(extract_path)
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found_images = []
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for i in os.walk(extract_path):
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if i[2]: # Implies files were found
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image_dir = i[0]
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add_path_to_file = [
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os.path.join(image_dir, j) for j in i[2]]
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found_images.extend(add_path_to_file)
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if not found_images:
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print('Found nothing in ' + self.filename)
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return None, file_settings
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found_images.sort()
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for count, i in enumerate(found_images):
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page_name = 'Page ' + str(count + 1)
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image_path = os.path.join(extract_path, i)
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contents[page_name] = image_path
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return contents, file_settings
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