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@ -3,6 +3,7 @@
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import argparse
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import asyncio
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import importlib_resources as resources
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from io import BytesIO
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from pathlib import Path
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import os
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from os.path import relpath, splitext
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@ -17,6 +18,7 @@ import zipfile
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from dlsite_async import DlsiteAPI
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import fitz
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from libsixel import *
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from PIL import Image
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from jinja2 import Environment, PackageLoader, select_autoescape
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import requests
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@ -77,7 +79,8 @@ IMAGE_FILE_EXTENSIONS = ['.png', '.jpg', '.jpeg', '.gif', '.tiff', '.bmp']
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IGNOREABLE_FILES = ['Thumbs.db', '__MACOSX', '.DS_Store']
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IGNOREABLE_EXTENSIONS = ['.txt', '.html', '.htm', '.psd', '.mp4']
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PDF_FALLBACK_DPI = 300
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PDF_CONVERSION_DPI = 300
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PDF_PREVIEW_DPI = 72
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IRRELEVANT_PDF_BLOCK_REGEX = re.compile(r'\bTCPDF\b', re.I)
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@ -214,11 +217,52 @@ def self_and_parents(path):
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return [path] + list(path.parents)
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def collate(args):
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con = sqlite3.connect(args.destdir / 'meta.db')
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cur = con.cursor()
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extraction_dir = args.destdir / 'extract'
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hint_map = {self_and_parents(Path(relpath(hint, extraction_dir)))[-2].name: hint for hint in args.hints}
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def extracted_path_work_id(path):
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trail = self_and_parents(Path(relpath(path, extraction_dir)))
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if len(trail) < 2:
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return None
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result = trail[-2].name
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if result == '..':
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return None
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return result
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(raw_groups, raw_exclusions) = parse_expressions(args.expression)
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specified_works = set()
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works_groups = {}
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for group in raw_groups:
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if len(group) == 0:
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continue
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work_id = extracted_path_work_id(group[0])
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if not work_id:
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print(f'Group {group} contains paths outside an extracted work!')
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exit(1)
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if not all(extracted_path_work_id(item) == work_id for item in group[1:]):
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print(f'Group {group} contains paths from multiple works!')
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exit(1)
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specified_works.add(work_id)
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if work_id not in works_groups:
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works_groups[work_id] = []
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normalized_paths = [normalize_to(item, args.destdir) for item in group]
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if not all(path.exists() for path in normalized_paths):
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print(f'Group {group} contains nonexistent paths!')
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exit(1)
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works_groups[work_id].append(normalized_paths)
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exclusions = []
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for exclusion in raw_exclusions:
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work_id = extracted_path_work_id(exclusion)
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if not work_id:
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print(f'Excluded path {exclusion} does not belong to an extracted work!')
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exit(1)
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specified_works.add(work_id)
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normalized_path = normalize_to(exclusion, args.destdir)
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if not normalized_path.exists():
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print(f'Excluded path {exclusion} does not exist!')
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exit(1)
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exclusions.append(normalized_path)
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collation_staging_area = args.destdir / 'site' / 'images-staging'
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collation_staging_area.mkdir(parents=True)
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@ -226,21 +270,41 @@ def collate(args):
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collation_area = args.destdir / 'site' / 'images'
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collation_area.mkdir(parents=True, exist_ok=True)
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con = sqlite3.connect(args.destdir / 'meta.db')
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cur = con.cursor()
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for work_path in extraction_dir.iterdir():
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work_id = work_path.name
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if args.only_specified_works and work_id not in specified_works:
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continue
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work_collation_dir = collation_area / work_id
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if work_collation_dir.exists():
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continue
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if work_id not in specified_works:
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continue
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if len(list(work_collation_dir.iterdir())) > 0:
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print(f'Collation directory for work {work_id} already exists!')
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break
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else:
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work_collation_dir.rmdir()
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virtual = cur.execute("SELECT virtual FROM works WHERE id = ?", (work_id,)).fetchone()
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if virtual == (1,):
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if work_id in specified_works:
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print(f'Work {work_id} is virtual!')
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break
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continue
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work_staging_dir = collation_staging_area / work_id
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collator = Collator(work_staging_dir, [], args)
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collation_result = collator.collate_from_paths([hint_map.get(work_id, work_path)])
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collator = Collator(work_staging_dir, exclusions, args)
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for group in works_groups.get(work_id, [[work_path]]):
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collation_result = collator.collate_from_paths([item for item in group if item not in exclusions])
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if not collation_result:
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print(f'Unable to deduce file structure for {work_id} subgroup {[str(path) for path in group]}')
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break
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if collation_result and collator.index > 0:
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print(f'Collated {collator.index} pages for {work_id}')
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work_staging_dir.rename(work_collation_dir)
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@ -253,7 +317,7 @@ def collate(args):
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if not collation_result:
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print(f'Unable to deduce file structure for {work_id}, skipping')
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elif collator.index == 0:
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print(f'{work_id} contains no files? skipping')
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print(f'No files found for {work_id}, skipping')
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collation_staging_area.rmdir()
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con.close()
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@ -466,43 +530,84 @@ def extract_image(pdf, xref):
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pix = fitz.Pixmap(pdf, xref)
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return { 'ext': 'png', 'image': pix.tobytes('png') }
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def display_sixel_page(page):
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s = BytesIO()
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image = Image.open(BytesIO(page.get_pixmap(dpi=PDF_PREVIEW_DPI).tobytes('png')))
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width, height = image.size
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try:
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data = image.tobytes()
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except NotImplementedError:
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data = image.tostring()
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output = sixel_output_new(lambda data, s: s.write(data), s)
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try:
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if image.mode == 'RGBA':
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dither = sixel_dither_new(256)
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sixel_dither_initialize(dither, data, width, height, SIXEL_PIXELFORMAT_RGBA8888)
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elif image.mode == 'RGB':
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dither = sixel_dither_new(256)
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sixel_dither_initialize(dither, data, width, height, SIXEL_PIXELFORMAT_RGB888)
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elif image.mode == 'P':
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palette = image.getpalette()
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dither = sixel_dither_new(256)
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sixel_dither_set_palette(dither, palette)
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sixel_dither_set_pixelformat(dither, SIXEL_PIXELFORMAT_PAL8)
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elif image.mode == 'L':
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dither = sixel_dither_get(SIXEL_BUILTIN_G8)
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sixel_dither_set_pixelformat(dither, SIXEL_PIXELFORMAT_G8)
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elif image.mode == '1':
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dither = sixel_dither_get(SIXEL_BUILTIN_G1)
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sixel_dither_set_pixelformat(dither, SIXEL_PIXELFORMAT_G1)
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else:
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raise RuntimeError('unexpected image mode')
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try:
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sixel_encode(data, width, height, 1, dither, output)
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print(s.getvalue().decode('ascii'))
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finally:
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sixel_dither_unref(dither)
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finally:
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sixel_output_unref(output)
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def pdf_images(pdf, force=False):
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images_by_page = [(page.get_images(), is_single_image(page)) for page in pdf]
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if all(len(images) == 1 and single for (images, single) in images_by_page):
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return (extract_image(pdf, images[0][0]) for (images, _) in images_by_page)
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print("Checking PDF images the quick way failed, trying the slow way")
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def xref_or_image_generator():
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xref_mode = not force
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for (idx, page) in enumerate(pdf):
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page_images = page.get_image_info(xrefs=True)
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if len(page_images) == 1 and page_images[0]['xref'] != 0 and is_single_image(page):
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xref = page_images[0]['xref']
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if xref_mode:
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yield xref
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else:
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yield extract_image(pdf, xref)
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print(f'0/{pdf.page_count} pages processed...', end='')
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image_extractors = []
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for (idx, page) in enumerate(pdf):
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page_images = page.get_image_info(xrefs=True)
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if len(page_images) == 1 and page_images[0]['xref'] != 0:
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xref = page_images[0]['xref']
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else:
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xref = None
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if xref is not None and is_single_image(page):
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image_extractors.append(lambda p=pdf, x=xref: extract_image(p, x))
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else:
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print(f'\nPage {idx+1}: {len(page_images)} images, {len([img for img in page_images if img["xref"] == 0])} non-xref images, {len(relevant_blocks(page))} total relevant objects')
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if force:
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print(f'Converting page {idx+1}')
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choice = 'c'
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else:
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print(f'\nPage {idx+1}: {len(page_images)} images, {len([img for img in page_images if img["xref"] == 0])} non-xref images, {len(relevant_blocks(page))} total relevant objects')
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if xref_mode:
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raise ValueError
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else:
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print(f'Generating pixmap for page {idx+1}')
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pix = page.get_pixmap(dpi=PDF_FALLBACK_DPI)
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yield { 'ext': 'png', 'image': pix.tobytes('png') }
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print(f'\x1b[2K\r{idx+1}/{pdf.page_count} pages processed...', end='')
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print('')
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shown = False
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while True:
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choice = input(f'[N]ope out of this PDF / [c]onvert page to image{"" if xref is None else " / e[x]tract embedded image without text"}{"" if shown else " / [s]how page before deciding"}? [N/c{"" if xref is None else "/x"}{"" if shown else "/s"}] ')
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if not shown and choice != '' and choice[0].lower() == 's':
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display_sixel_page(page)
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shown = True
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else:
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break
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if xref is not None and choice != '' and choice[0].lower() == 'x':
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image_extractors.append(lambda p=pdf, x=xref: extract_image(p, x))
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elif choice != '' and choice[0].lower() == 'c':
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image_extractors.append(lambda p=page: { 'ext': 'png', 'image': p.get_pixmap(dpi=PDF_CONVERSION_DPI).tobytes('png') })
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else:
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return None
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print(f'\x1b[2K\r{idx+1}/{pdf.page_count} pages processed...', end=('' if idx+1 < pdf.page_count else '\n'))
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if force:
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return xref_or_image_generator()
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try:
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xrefs = list(xref_or_image_generator())
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except ValueError:
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print('\nFailed')
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return None
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print('Success')
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return (extract_image(pdf, xref) for xref in xrefs)
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return (extractor() for extractor in image_extractors)
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def nfc(s):
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return unicodedata.normalize('NFC', s)
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@ -688,9 +793,6 @@ def superior_or_equal(a, b):
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return len(a) >= len(b) and all(a[i] >= b[i] for i in range(len(b)))
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def self_and_parents(path):
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return [path] + list(path.parents)
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def parse_expressions(tokens):
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groups = []
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exclusions = []
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@ -727,61 +829,6 @@ def parse_group(tokens):
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def normalize_to(path, ref):
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return ref / Path(relpath(path, ref))
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def manual_collate(args):
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(raw_groups, raw_exclusions) = parse_expressions(args.expression)
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extraction_dir = args.destdir / 'extract'
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sample_path = next(path for group in (raw_groups + [raw_exclusions]) for path in group)
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work_id = self_and_parents(Path(relpath(sample_path, extraction_dir)))[-2].name
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exclusions = [normalize_to(item, args.destdir) for item in raw_exclusions]
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if raw_groups:
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groups = [[normalize_to(item, args.destdir) for item in group] for group in raw_groups]
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else:
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groups = [[extraction_dir / work_id]]
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collation_area = args.destdir / 'site' / 'images'
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collation_area.mkdir(parents=True, exist_ok=True)
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work_collation_dir = collation_area / work_id
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if work_collation_dir.exists():
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if len(list(work_collation_dir.iterdir())) > 0:
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print('Collation directory already exists!')
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return
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else:
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work_collation_dir.rmdir()
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nonexistent = [path for group in (groups + [exclusions]) for path in group if not path.exists()]
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if len(nonexistent) > 0:
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print(f'Nonexistent paths: {nonexistent}')
|
|
|
|
|
return
|
|
|
|
|
|
|
|
|
|
collation_staging_area = args.destdir / 'site' / 'images-staging'
|
|
|
|
|
work_staging_dir = collation_staging_area / work_id
|
|
|
|
|
work_staging_dir.mkdir(parents=True)
|
|
|
|
|
|
|
|
|
|
collator = Collator(work_staging_dir, exclusions, args)
|
|
|
|
|
for group in groups:
|
|
|
|
|
collation_result = collator.collate_from_paths([item for item in group if item not in exclusions])
|
|
|
|
|
if collation_result is None:
|
|
|
|
|
print(f'Unable to deduce file structure for {work_id} subgroup {[str(path) for path in group]}')
|
|
|
|
|
break
|
|
|
|
|
|
|
|
|
|
if collation_result and collator.index > 0:
|
|
|
|
|
print(f'Collated {collator.index} pages for {work_id}')
|
|
|
|
|
work_staging_dir.rename(work_collation_dir)
|
|
|
|
|
else:
|
|
|
|
|
for f in work_staging_dir.iterdir():
|
|
|
|
|
f.unlink()
|
|
|
|
|
work_staging_dir.rmdir()
|
|
|
|
|
|
|
|
|
|
if collation_result and collator.index == 0:
|
|
|
|
|
print(f'No files found for {work_id}')
|
|
|
|
|
|
|
|
|
|
collation_staging_area.rmdir()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def fmt_size(s):
|
|
|
|
|
return f'{s[0]}x{s[1]}px'
|
|
|
|
@ -1022,9 +1069,9 @@ argparser = argparse.ArgumentParser(
|
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|
|
subfolder.
|
|
|
|
|
- `fetch` metadata and thumbnail images for extracted works
|
|
|
|
|
from DLSite.
|
|
|
|
|
- `collate` and/or `manual-collate` extracted works,
|
|
|
|
|
producing a single sequence of image files (or symlinks
|
|
|
|
|
into the extracted data, when possible) for each work.
|
|
|
|
|
- `collate` extracted works, producing a single sequence of
|
|
|
|
|
image files (or symlinks into the extracted data, when
|
|
|
|
|
possible) for each work.
|
|
|
|
|
- Manually adjust works' `metadata` when necessary.
|
|
|
|
|
- `generate` a static website providing a catalog and viewer
|
|
|
|
|
for all collated works.
|
|
|
|
@ -1047,7 +1094,7 @@ argparser.add_argument(
|
|
|
|
|
)
|
|
|
|
|
subparsers = argparser.add_subparsers(title="subcommands", required=True)
|
|
|
|
|
|
|
|
|
|
parser_extract = subparsers.add_parser('extract', aliases=['x', 'ex'], help='extract zipfiles')
|
|
|
|
|
parser_extract = subparsers.add_parser('extract', aliases=['x'], help='extract zipfiles')
|
|
|
|
|
parser_extract.add_argument(
|
|
|
|
|
'-r', '--remove',
|
|
|
|
|
action='store_true',
|
|
|
|
@ -1062,111 +1109,96 @@ parser_extract.add_argument(
|
|
|
|
|
)
|
|
|
|
|
parser_extract.set_defaults(func=extract)
|
|
|
|
|
|
|
|
|
|
parser_fetch = subparsers.add_parser('fetch', aliases=['f', 'fet'], help='fetch metadata and thumbnails')
|
|
|
|
|
parser_fetch = subparsers.add_parser('fetch', aliases=['f'], help='fetch metadata and thumbnails')
|
|
|
|
|
parser_fetch.set_defaults(func=fetch)
|
|
|
|
|
|
|
|
|
|
parser_collate = subparsers.add_parser(
|
|
|
|
|
'collate',
|
|
|
|
|
aliases=['c', 'co', 'col'],
|
|
|
|
|
help='collate each work into a sequence of image files',
|
|
|
|
|
aliases=['c'],
|
|
|
|
|
help='collate works into sequences of image files',
|
|
|
|
|
formatter_class=argparse.RawDescriptionHelpFormatter,
|
|
|
|
|
description=textwrap.dedent("""\
|
|
|
|
|
For each extracted work that has not already been collated,
|
|
|
|
|
DLibrary will attempt to intuit its structure as follows:
|
|
|
|
|
DLibrary will attempt to intuit its structure and create
|
|
|
|
|
a single ordered list of image files in the site data
|
|
|
|
|
directory. Each image will either be a symlink to an image
|
|
|
|
|
file in the extraction folder, or a single page extracted
|
|
|
|
|
from a PDF file.
|
|
|
|
|
|
|
|
|
|
- Enter the work's directory. If the directory contains
|
|
|
|
|
nothing except a single subdirectory (ignoring a few types
|
|
|
|
|
of files that are definitely not relevant), traverse
|
|
|
|
|
downwards repeatedly.
|
|
|
|
|
- If the current directory contains nothing except a single
|
|
|
|
|
PDF (again, ignoring irrelevant files), attempt to extract
|
|
|
|
|
a series of images from the PDF. This process expects that
|
|
|
|
|
each page of the PDF consists of a single embedded image,
|
|
|
|
|
which will be extracted at full resolution. Support for
|
|
|
|
|
more complex PDFs is not yet implemented.
|
|
|
|
|
- If the current directory contains nothing except image
|
|
|
|
|
files, and the image files are named in a way that clearly
|
|
|
|
|
indicates a complete numerical order (each filename
|
|
|
|
|
consists of a shared prefix followed by a distinct
|
|
|
|
|
number), symlink files in the inferred order.
|
|
|
|
|
- Otherwise, skip processing this work for now.
|
|
|
|
|
DLibrary may fail to automatically collate a work if its
|
|
|
|
|
files and subdirectories are not named in a way that
|
|
|
|
|
indicates a clear linear ordering. In order to assist with
|
|
|
|
|
collation, you can provide a list of expressions specifying
|
|
|
|
|
where to start traversing the directory structure, what
|
|
|
|
|
files to include in what order, and/or what files to ignore
|
|
|
|
|
entirely.
|
|
|
|
|
|
|
|
|
|
DLibrary can be given "collation hints" which provide
|
|
|
|
|
alternative starting points for this search process. A hint
|
|
|
|
|
is a path under $DLIBRARY_DIR/extract/[work id]/
|
|
|
|
|
indicating a different directory or PDF file to begin the
|
|
|
|
|
search process for that work, rather than starting at the
|
|
|
|
|
top level of the extracted data. There can be at most one
|
|
|
|
|
hint per work; for more complicated scenarios where a work
|
|
|
|
|
includes multiple folders that need to be collated together,
|
|
|
|
|
or where filenames do not clearly indicate an ordering, use
|
|
|
|
|
`manual-collate` instead.
|
|
|
|
|
"""),
|
|
|
|
|
)
|
|
|
|
|
parser_collate.add_argument(
|
|
|
|
|
'hints',
|
|
|
|
|
metavar='PATH',
|
|
|
|
|
type=Path,
|
|
|
|
|
nargs='*',
|
|
|
|
|
help='paths within extraction folders as collation hints'
|
|
|
|
|
)
|
|
|
|
|
parser_collate.set_defaults(func=collate, force_convert_pdf=False)
|
|
|
|
|
|
|
|
|
|
parser_manual_collate = subparsers.add_parser(
|
|
|
|
|
'manual-collate',
|
|
|
|
|
aliases=['mc', 'man', 'manual'],
|
|
|
|
|
help='collate a single work manually',
|
|
|
|
|
formatter_class=argparse.RawDescriptionHelpFormatter,
|
|
|
|
|
description=textwrap.dedent("""\
|
|
|
|
|
Provide an expression or sequence of expressions specifying groups
|
|
|
|
|
of paths to collate or skip. An expression can be:
|
|
|
|
|
An expression can be:
|
|
|
|
|
|
|
|
|
|
PATH
|
|
|
|
|
A single path. If this is an image, it will be appended to
|
|
|
|
|
the sequence of collated images; if this is a PDF, images will be
|
|
|
|
|
extracted from it and concatenated to the sequence; if this is a
|
|
|
|
|
directory, the contents of the directory will be collated based on
|
|
|
|
|
the normal heuristics and concatenated to the sequence.
|
|
|
|
|
the sequence of collated images for the work it belongs to;
|
|
|
|
|
if this is a PDF, images will be extracted from it and
|
|
|
|
|
concatenated to the sequence; if this is a directory, the
|
|
|
|
|
contents of the directory will be automatically collated
|
|
|
|
|
using DLibrary's default heuristics, and concatenated
|
|
|
|
|
to the sequence.
|
|
|
|
|
|
|
|
|
|
( PATH [PATH ...] )
|
|
|
|
|
A group of paths contained in parentheses. You may need to escape
|
|
|
|
|
the parentheses to avoid them getting parsed by your shell.
|
|
|
|
|
All the paths in this group will be considered together, and
|
|
|
|
|
collated based on the normal heuristics, regardless of what
|
|
|
|
|
order the paths are provided in.
|
|
|
|
|
automatically collated using the default heuristics, regardless
|
|
|
|
|
of what order the paths are provided in.
|
|
|
|
|
|
|
|
|
|
! PATH
|
|
|
|
|
! ( PATH [PATH ...] )
|
|
|
|
|
A path or group of paths to exclude from collation. You may
|
|
|
|
|
need to escape the !. If an excluded path appears within any
|
|
|
|
|
of the other specified paths, it will be ignored.
|
|
|
|
|
of the other specified paths, it will be skipped by the collation
|
|
|
|
|
heuristics.
|
|
|
|
|
|
|
|
|
|
If the only expressions provided are negations, then auto-collation
|
|
|
|
|
will start from the top level of the extracted work while excluding
|
|
|
|
|
the negated paths.
|
|
|
|
|
will start from the top level of the extracted work while skipping
|
|
|
|
|
the excluded paths.
|
|
|
|
|
|
|
|
|
|
All provided paths must be under $DLIBRARY_DIR/extract/[work id]/
|
|
|
|
|
for the work being manually collated. `manual-collate` can
|
|
|
|
|
only handle one work at a time.
|
|
|
|
|
"""),
|
|
|
|
|
for some not-yet-collated work. Paths belonging to multiple
|
|
|
|
|
different works can all be provided on the same command line, and
|
|
|
|
|
expressions will be clustered together by work id while otherwise
|
|
|
|
|
preserving the order they were provided in. A parenthesized group
|
|
|
|
|
expression must only contain paths belonging to a single work.
|
|
|
|
|
|
|
|
|
|
By default, DLibrary will attempt to collate every not-yet-collated
|
|
|
|
|
work (excluding "virtual" works), using the provided expressions
|
|
|
|
|
to assist in collation when available. The `-o` flag will direct
|
|
|
|
|
DLibrary to *only* collate works included in the provided expressions,
|
|
|
|
|
even if other uncollated works are present.
|
|
|
|
|
"""),
|
|
|
|
|
)
|
|
|
|
|
parser_manual_collate.add_argument(
|
|
|
|
|
parser_collate.add_argument(
|
|
|
|
|
'-o', '--only-specified-works',
|
|
|
|
|
action='store_true',
|
|
|
|
|
help="only collate works that are explicitly specified",
|
|
|
|
|
)
|
|
|
|
|
parser_collate.add_argument(
|
|
|
|
|
'--force-convert-pdf',
|
|
|
|
|
action='store_true',
|
|
|
|
|
help="convert a PDF page to a 300dpi image if there isn't a single image we can extract directly",
|
|
|
|
|
)
|
|
|
|
|
parser_manual_collate.add_argument(
|
|
|
|
|
parser_collate.add_argument(
|
|
|
|
|
'expression',
|
|
|
|
|
nargs='+',
|
|
|
|
|
nargs='*',
|
|
|
|
|
help='expressions indicating paths to collate or skip',
|
|
|
|
|
)
|
|
|
|
|
parser_manual_collate.set_defaults(func=manual_collate)
|
|
|
|
|
parser_collate.set_defaults(func=collate)
|
|
|
|
|
|
|
|
|
|
parser_analyze = subparsers.add_parser('analyze', aliases=['a', 'an', 'anal'], help='analyze an extracted folder to assist in collation')
|
|
|
|
|
|
|
|
|
|
parser_analyze = subparsers.add_parser('analyze', aliases=['a'], help='analyze an extracted folder to assist in collation')
|
|
|
|
|
parser_analyze.add_argument('work_id')
|
|
|
|
|
parser_analyze.set_defaults(func=analyze)
|
|
|
|
|
|
|
|
|
|
parser_metadata = subparsers.add_parser('metadata', aliases=['m', 'me', 'meta'], help='view or modify metadata for a work')
|
|
|
|
|
parser_metadata = subparsers.add_parser('metadata', aliases=['m'], help='view or modify metadata for a work')
|
|
|
|
|
parser_metadata.add_argument('work_id')
|
|
|
|
|
parser_metadata.add_argument(
|
|
|
|
|
'--virtual',
|
|
|
|
@ -1177,7 +1209,7 @@ parser_metadata.set_defaults(func=metadata)
|
|
|
|
|
|
|
|
|
|
parser_generate = subparsers.add_parser(
|
|
|
|
|
'generate',
|
|
|
|
|
aliases=['g', 'gen'],
|
|
|
|
|
aliases=['g'],
|
|
|
|
|
help='generate HTML/CSS/JS for library site',
|
|
|
|
|
formatter_class=argparse.RawDescriptionHelpFormatter,
|
|
|
|
|
description=textwrap.dedent("""\
|
|
|
|
|