Cutlery/calibre
1
0
Fork 0
mirror of https://github.com/kovidgoyal/calibre.git synced 2025-07-09 03:04:10 -04:00
Code Issues Packages Projects Releases Wiki Activity

Merge branch 'master' of https://github.com/unkn0w7n/calibre

Browse Source
This commit is contained in:
Kovid Goyal 2024-02-28 08:26:42 +05:30
commit 723216618c
No known key found for this signature in database
GPG Key ID: 06BC317B515ACE7C
1 changed files with 27 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

38
recipes/new_yorker.recipe
View File

@ -34,6 +34,7 @@ class NewYorker(BasicNewsRecipe):
timefmt = ' [%b %d]'
encoding = 'utf-8'
extra_css = '''
img { display:block; margin:0 auto; }
.byline { font-size:smaller; font-weight: bold;}
h3 { margin-bottom: 6px; }
.caption { font-size: smaller; font-style: italic; font-weight: normal; }
@ -72,21 +73,36 @@ class NewYorker(BasicNewsRecipe):
self.log.warn('Kindle Output profile being used, reducing image quality to keep file size below amazon email threshold')
def preprocess_html(self, soup):
w = '/w_320' # use '/w_640' for highres
for img in soup.findAll('img'):
if img.has_attr('srcset'):
for x in img['srcset'].split():
if w in x:
img['src'] = x
elif img.find_previous_sibling('source', attrs={'srcset':True}):
srcset = img.find_previous_sibling('source', attrs={'srcset':True})
for x in srcset['srcset'].split():
if w in x:
img['src'] = x
elif '/w_560' in x:
img['src'] = x
for src in soup.findAll('source'):
src.decompose()
for noscript in soup.findAll('noscript'):
noscript.name = 'div'
return soup
def preprocess_image(self, img_data, image_url):
from PIL import Image
from calibre import fit_image
from io import BytesIO
img = Image.open(BytesIO(img_data)).convert('RGB')
scaled, nwidth, nheight = fit_image(img.width, img.height, 1024, 1024)
if scaled:
img = img.resize((nwidth, nheight))
buf = BytesIO()
img.save(buf, format='JPEG')
return buf.getvalue()
# def preprocess_image(self, img_data, image_url):
# from PIL import Image
# from calibre import fit_image
# from io import BytesIO
# img = Image.open(BytesIO(img_data)).convert('RGB')
# scaled, nwidth, nheight = fit_image(img.width, img.height, 1024, 1024)
# if scaled:
# img = img.resize((nwidth, nheight))
# buf = BytesIO()
# img.save(buf, format='JPEG')
# return buf.getvalue()
def parse_index(self):
# Get cover