def sample_results(self):
m1 = Metadata("The Great Gatsby", ["Francis Scott Fitzgerald"])
m2 = Metadata("The Great Gatsby - An extra long title to test resizing", ["F. Scott Fitzgerald"])
m1.has_cached_cover_url = True
m2.has_cached_cover_url = False
m1.comments = "Some comments " * 10
m1.tags = ["tag%d" % i for i in range(20)]
m1.rating = 4.4
m1.language = "en"
m2.language = "fr"
m1.pubdate = utcnow()
m2.pubdate = fromordinal(1000000)
m1.publisher = "Publisher 1"
m2.publisher = "Publisher 2"
return [m1, m2]
def sample_results(self):
m1 = Metadata('The Great Gatsby', ['Francis Scott Fitzgerald'])
m2 = Metadata('The Great Gatsby', ['F. Scott Fitzgerald'])
m1.has_cached_cover_url = True
m2.has_cached_cover_url = False
m1.comments = 'Some comments '*10
m1.tags = ['tag%d'%i for i in range(20)]
m1.rating = 4.4
m1.language = 'en'
m2.language = 'fr'
m1.pubdate = utcnow()
m2.pubdate = fromordinal(1000000)
m1.publisher = 'Publisher 1'
m2.publisher = 'Publisher 2'
return [m1, m2]
def data2mi(self, item):
"""Converts a single metadata answer in the form of a dict to a MetadataInformation object"""
mi = Metadata(_('Unknown'))
# Regular metadata
mi.title = item.get('title', None)
mi.authors = item.get('authors', [])
mi.publisher = item.get('publisher', None)
if 'id' in item.keys(): mi.set_identifier(self.idkey, item['id'])
if 'doi' in item.keys(): mi.set_identifier('doi', item['doi'])
if 'isbn' in item.keys(): mi.set_identifier('isbn', item['isbn'])
if 'updated' in item.keys(): mi.pubdate = parse_date(item['updated'], assume_utc=True)
if 'series' in item.keys():
mi.series = item['series']
mi.series_index = self.format_series_index(item.get('series_index'), None)
if 'year' in item.keys(): mi.pubdate = parse_date(item['year'], assume_utc=True)
if 'abstract' in item.keys(): mi.comments = self.format_abstract(item['abstract'])
if 'language' in item.keys(): mi.language = item['language']
if 'journal' in item.keys():
mi.series = item['journal']
mi.series_index = self.format_series_index(item.get('volume'), item.get('number'))
if 'subject' in item.keys():
tags = set([])
for s in item['subject']:
tags.update(msc_tags(s))
tags.update(arxiv_tags(s))
mi.tags = list(sorted(tags))
return mi
def parse_details(self, raw, root):
try:
asin = self.parse_asin(root)
except:
self.log.exception('Error parsing asin for url: %r'%self.url)
asin = None
if self.testing:
import tempfile, uuid
with tempfile.NamedTemporaryFile(prefix=(asin or str(uuid.uuid4()))+ '_',
suffix='.html', delete=False) as f:
f.write(raw)
print ('Downloaded html for', asin, 'saved in', f.name)
try:
title = self.parse_title(root)
except:
self.log.exception('Error parsing title for url: %r'%self.url)
title = None
try:
authors = self.parse_authors(root)
except:
self.log.exception('Error parsing authors for url: %r'%self.url)
authors = []
if not title or not authors or not asin:
self.log.error('Could not find title/authors/asin for %r'%self.url)
self.log.error('ASIN: %r Title: %r Authors: %r'%(asin, title,
authors))
return
mi = Metadata(title, authors)
idtype = 'amazon' if self.domain == 'com' else 'amazon_'+self.domain
mi.set_identifier(idtype, asin)
self.amazon_id = asin
try:
mi.rating = self.parse_rating(root)
except:
self.log.exception('Error parsing ratings for url: %r'%self.url)
try:
mi.comments = self.parse_comments(root)
except:
self.log.exception('Error parsing comments for url: %r'%self.url)
try:
series, series_index = self.parse_series(root)
if series:
mi.series, mi.series_index = series, series_index
elif self.testing:
mi.series, mi.series_index = 'Dummy series for testing', 1
except:
self.log.exception('Error parsing series for url: %r'%self.url)
try:
mi.tags = self.parse_tags(root)
except:
self.log.exception('Error parsing tags for url: %r'%self.url)
try:
self.cover_url = self.parse_cover(root, raw)
except:
self.log.exception('Error parsing cover for url: %r'%self.url)
mi.has_cover = bool(self.cover_url)
non_hero = CSSSelect('div#bookDetails_container_div div#nonHeroSection')(root)
if non_hero:
# New style markup
try:
self.parse_new_details(root, mi, non_hero[0])
except:
self.log.exception('Failed to parse new-style book details section')
else:
pd = root.xpath(self.pd_xpath)
if pd:
pd = pd[0]
try:
isbn = self.parse_isbn(pd)
if isbn:
self.isbn = mi.isbn = isbn
except:
self.log.exception('Error parsing ISBN for url: %r'%self.url)
try:
mi.publisher = self.parse_publisher(pd)
except:
self.log.exception('Error parsing publisher for url: %r'%self.url)
try:
mi.pubdate = self.parse_pubdate(pd)
except:
self.log.exception('Error parsing publish date for url: %r'%self.url)
try:
lang = self.parse_language(pd)
if lang:
mi.language = lang
except:
self.log.exception('Error parsing language for url: %r'%self.url)
else:
self.log.warning('Failed to find product description for url: %r'%self.url)
mi.source_relevance = self.relevance
if self.amazon_id:
if self.isbn:
self.plugin.cache_isbn_to_identifier(self.isbn, self.amazon_id)
if self.cover_url:
self.plugin.cache_identifier_to_cover_url(self.amazon_id,
self.cover_url)
self.plugin.clean_downloaded_metadata(mi)
self.result_queue.put(mi)
def to_metadata(browser, log, entry_, timeout): # {{{
from lxml import etree
XPath = partial(etree.XPath, namespaces=NAMESPACES)
# total_results = XPath('//openSearch:totalResults')
# start_index = XPath('//openSearch:startIndex')
# items_per_page = XPath('//openSearch:itemsPerPage')
entry = XPath('//atom:entry')
entry_id = XPath('descendant::atom:id')
creator = XPath('descendant::dc:creator')
identifier = XPath('descendant::dc:identifier')
title = XPath('descendant::dc:title')
date = XPath('descendant::dc:date')
publisher = XPath('descendant::dc:publisher')
subject = XPath('descendant::dc:subject')
description = XPath('descendant::dc:description')
language = XPath('descendant::dc:language')
rating = XPath('descendant::gd:rating[@average]')
def get_text(extra, x):
try:
ans = x(extra)
if ans:
ans = ans[0].text
if ans and ans.strip():
return ans.strip()
except:
log.exception('Programming error:')
return None
id_url = entry_id(entry_)[0].text
google_id = id_url.split('/')[-1]
title_ = ': '.join([x.text for x in title(entry_)]).strip()
authors = [x.text.strip() for x in creator(entry_) if x.text]
if not authors:
authors = [_('Unknown')]
if not id_url or not title:
# Silently discard this entry
return None
mi = Metadata(title_, authors)
mi.identifiers = {'google':google_id}
try:
raw = get_details(browser, id_url, timeout)
feed = etree.fromstring(xml_to_unicode(clean_ascii_chars(raw),
strip_encoding_pats=True)[0])
extra = entry(feed)[0]
except:
log.exception('Failed to get additional details for', mi.title)
return mi
mi.comments = get_text(extra, description)
lang = canonicalize_lang(get_text(extra, language))
if lang:
mi.language = lang
mi.publisher = get_text(extra, publisher)
# ISBN
isbns = []
for x in identifier(extra):
t = str(x.text).strip()
if t[:5].upper() in ('ISBN:', 'LCCN:', 'OCLC:'):
if t[:5].upper() == 'ISBN:':
t = check_isbn(t[5:])
if t:
isbns.append(t)
if isbns:
mi.isbn = sorted(isbns, key=len)[-1]
mi.all_isbns = isbns
# Tags
try:
btags = [x.text for x in subject(extra) if x.text]
tags = []
for t in btags:
atags = [y.strip() for y in t.split('/')]
for tag in atags:
if tag not in tags:
tags.append(tag)
except:
log.exception('Failed to parse tags:')
tags = []
if tags:
mi.tags = [x.replace(',', ';') for x in tags]
# pubdate
pubdate = get_text(extra, date)
if pubdate:
from calibre.utils.date import parse_date, utcnow
try:
default = utcnow().replace(day=15)
mi.pubdate = parse_date(pubdate, assume_utc=True, default=default)
except:
log.error('Failed to parse pubdate %r'%pubdate)
# Ratings
for x in rating(extra):
try:
mi.rating = float(x.get('average'))
if mi.rating > 5:
mi.rating /= 2
except:
log.exception('Failed to parse rating')
# Cover
mi.has_google_cover = None
for x in extra.xpath(
'//*[@href and @rel="http://schemas.google.com/books/2008/thumbnail"]'):
mi.has_google_cover = x.get('href')
break
return mi
def parse_details(self, root):
try:
yes24_id = self.parse_yes24_id(self.url)
except:
self.log.exception('Error parsing YES24 id for url: %r'%self.url)
yes24_id = None
try:
(title, series, series_index) = self.parse_title_series(root)
except:
self.log.exception('Error parsing title and series for url: %r'%self.url)
title = series = series_index = None
try:
authors = self.parse_authors(root)
except:
self.log.exception('Error parsing authors for url: %r'%self.url)
authors = []
if not title or not authors or not yes24_id:
self.log.error('Could not find title/authors/YES24 id for %r'%self.url)
self.log.error('YES24: %r Title: %r Authors: %r'%(yes24_id, title,
authors))
return
mi = Metadata(title, authors)
if series:
mi.series = series
mi.series_index = series_index
mi.set_identifier('yes24', yes24_id)
self.yes24_id = yes24_id
try:
isbn = self.parse_isbn(root)
if isbn:
self.isbn = mi.isbn = isbn
except:
self.log.exception('Error parsing ISBN for url: %r'%self.url)
try:
mi.comments = self.parse_comments(root)
except:
self.log.exception('Error parsing comments for url: %r'%self.url)
try:
self.cover_url = self.parse_cover(root)
except:
self.log.exception('Error parsing cover for url: %r'%self.url)
mi.has_cover = bool(self.cover_url)
mi.cover_url = self.cover_url # This is purely so we can run a test for it!!!
try:
mi.publisher = self.parse_publisher(root)
except:
self.log.exception('Error parsing publisher for url: %r'%self.url)
try:
mi.pubdate = self.parse_published_date(root)
except:
self.log.exception('Error parsing published date for url: %r'%self.url)
mi.language = 'ko'
mi.source_relevance = self.relevance
if self.yes24_id:
if self.isbn:
self.plugin.cache_isbn_to_identifier(self.isbn, self.yes24_id)
self.plugin.clean_downloaded_metadata(mi)
self.result_queue.put(mi)
#!/usr/bin/env python
def merge(self, results, min_year, do_asr=True):
ans = Metadata(_('Unknown'))
# We assume the shortest title has the least cruft in it
ans.title = self.length_merge('title', results, null_value=ans.title)
# No harm in having extra authors, maybe something useful like an
# editor or translator
ans.authors = self.length_merge('authors', results,
null_value=ans.authors, shortest=False)
# We assume the shortest publisher has the least cruft in it
ans.publisher = self.length_merge('publisher', results,
null_value=ans.publisher)
# We assume the smallest set of tags has the least cruft in it
ans.tags = self.length_merge('tags', results,
null_value=ans.tags, shortest=msprefs['fewer_tags'])
# We assume the longest series has the most info in it
ans.series = self.length_merge('series', results,
null_value=ans.series, shortest=False)
for r in results:
if r.series and r.series == ans.series:
ans.series_index = r.series_index
break
# Average the rating over all sources
ratings = []
for r in results:
rating = r.rating
if rating and rating > 0 and rating <= 5:
ratings.append(rating)
if ratings:
ans.rating = int(round(sum(ratings)/len(ratings)))
# Smallest language is likely to be valid
ans.language = self.length_merge('language', results,
null_value=ans.language)
# Choose longest comments
ans.comments = self.length_merge('comments', results,
null_value=ans.comments, shortest=False)
# Published date
if min_year:
for r in results:
year = getattr(r.pubdate, 'year', None)
if year == min_year:
ans.pubdate = r.pubdate
break
if getattr(ans.pubdate, 'year', None) == min_year:
min_date = datetime(min_year, ans.pubdate.month, ans.pubdate.day,
tzinfo=utc_tz)
else:
min_date = datetime(min_year, 1, 2, tzinfo=utc_tz)
ans.pubdate = min_date
else:
min_date = datetime(3001, 1, 1, tzinfo=utc_tz)
for r in results:
if r.pubdate is not None:
candidate = as_utc(r.pubdate)
if candidate < min_date:
min_date = candidate
if min_date.year < 3000:
ans.pubdate = min_date
# Identifiers
for r in results:
ans.identifiers.update(r.identifiers)
# Cover URL
ans.has_cached_cover_url = bool([r for r in results if
getattr(r, 'has_cached_cover_url', False)])
# Merge any other fields with no special handling (random merge)
touched_fields = set()
for r in results:
if hasattr(r, 'identify_plugin'):
touched_fields |= r.identify_plugin.touched_fields
for f in touched_fields:
if f.startswith('identifier:') or not ans.is_null(f):
continue
setattr(ans, f, self.random_merge(f, results,
null_value=getattr(ans, f)))
if do_asr:
avg = [x.relevance_in_source for x in results]
avg = sum(avg)/len(avg)
ans.average_source_relevance = avg
return ans
def parse_details(self, root):
try:
kyobobook_id = self.parse_kyobobook_id(self.url)
except:
self.log.exception('Error parsing Kyobobook id for url: %r'%self.url)
kyobobook_id = None
try:
(title, series, series_index) = self.parse_title_series(root)
except:
self.log.exception('Error parsing title and series for url: %r'%self.url)
title = series = series_index = None
try:
authors = self.parse_authors(root)
except:
self.log.exception('Error parsing authors for url: %r'%self.url)
authors = []
if not title or not authors or not kyobobook_id:
self.log.error('Could not find title/authors/kyobobook id for %r'%self.url)
self.log.error('Kyobobook: %r Title: %r Authors: %r'%(kyobobook_id, title,
authors))
return
mi = Metadata(title, authors)
if series:
mi.series = series
mi.series_index = series_index
mi.set_identifier('kyobobook', kyobobook_id)
self.kyobobook_id = kyobobook_id
try:
isbn = self.parse_isbn(root)
if isbn:
self.isbn = mi.isbn = isbn
except:
self.log.exception('Error parsing ISBN for url: %r'%self.url)
try:
mi.rating = self.parse_rating(root)
except:
self.log.exception('Error parsing ratings for url: %r'%self.url)
try:
mi.comments = self.parse_comments(root)
except:
self.log.exception('Error parsing comments for url: %r'%self.url)
try:
self.cover_url = self.parse_cover(root)
except:
self.log.exception('Error parsing cover for url: %r'%self.url)
mi.has_cover = bool(self.cover_url)
try:
tags = self.parse_tags(root)
if tags:
mi.tags = tags
except:
self.log.exception('Error parsing tags for url: %r'%self.url)
try:
mi.publisher, mi.pubdate = self.parse_publisher_and_date(root)
except:
self.log.exception('Error parsing publisher and date for url: %r'%self.url)
try:
lang = self._parse_language(root)
if lang:
mi.language = lang
except:
self.log.exception('Error parsing language for url: %r'%self.url)
mi.source_relevance = self.relevance
if self.kyobobook_id:
if self.isbn:
self.plugin.cache_isbn_to_identifier(self.isbn, self.kyobobook_id)
if self.cover_url:
self.plugin.cache_identifier_to_cover_url(self.kyobobook_id,
self.cover_url)
self.plugin.clean_downloaded_metadata(mi)
self.result_queue.put(mi)
def parse_details(self, root):
try:
isbn = self.extract_isbn(self.url)
except:
self.log.exception('No ISBN in URL: %r'%self.url)
isbn = None
try:
(title, series, series_index) = self.parse_title_series(root)
except:
self.log.exception('Error parsing title and series for url: %r'%self.url)
title = series = series_index = None
try:
authors = self.parse_authors(root)
except:
self.log.exception('Error parsing authors for url: %r'%self.url)
authors = []
if not title or not authors or not isbn:
self.log.error('Could not find title/authors/Aladin id for %r'%self.url)
self.log.error('Aladin: %r Title: %r Authors: %r'%(isbn, title, authors))
return
mi = Metadata(title, authors)
if series:
mi.series = series
mi.series_index = series_index
#mi.set_identifier('isbn', isbn)
mi.isbn = isbn
self.isbn = isbn
# ISBN-13
try:
isbn = self.parse_isbn(root)
if isbn:
self.isbn = mi.isbn = isbn
except:
self.log.exception('Error parsing ISBN for url: %r'%self.url)
try:
mi.comments = self.parse_comments(root)
except:
self.log.exception('Error parsing comments for url: %r'%self.url)
try:
self.cover_url = self.parse_cover(root)
except:
self.log.exception('Error parsing cover for url: %r'%self.url)
mi.has_cover = bool(self.cover_url)
mi.cover_url = self.cover_url # This is purely so we can run a test for it!!!
if mi.has_cover:
self.log.info('Cover URL: '+mi.cover_url)
try:
mi.publisher = self.parse_publisher(root)
except:
self.log.exception('Error parsing publisher for url: %r'%self.url)
try:
mi.pubdate = self.parse_published_date(root)
except:
self.log.exception('Error parsing published date for url: %r'%self.url)
mi.language = 'ko'
mi.source_relevance = self.relevance
self.plugin.clean_downloaded_metadata(mi)
self.result_queue.put(mi)
def load_details(self, url, timeout):
def _format_item(str):
return re.sub('^"(.*)"$', '\\1', unescape(str))
def _format_list(str):
return [_.strip() for _ in _format_item(str).split(',')]
def _find_meta(node, property):
return [_.get('content') for _ in node if _.get('property') == property][0]
def _format_date(date_text):
year = int(date_text[0:4])
month = int(date_text[4:6])
day = int(date_text[6:])
return datetime.datetime(year, month, day, tzinfo=utc_tz)
try:
response = self.browser.open(url, timeout=timeout)
root = lxml.html.fromstring(response.read())
# <meta> tag에서 불러오는 항목
# 책ID, 제목, ISBN, 이미지URL, 평점
meta = root.xpath('//meta[starts-with(@property, "og") or starts-with(@property, "books")]')
# schema.org JSON에서 불러오는 항목
# 제목, 저자, 책소개, 출판사
ld_json = root.xpath('//script[@type="application/ld+json"]/text()')
ld = [json.loads(_) for _ in ld_json]
book_info = [_ for _ in ld if _['@type'] == 'Book'][0]
except Exception as e:
self.log.exception(e)
ridibooks_id = re.search('id=([0-9]+)', url).group(1)
isbn = _find_meta(meta, 'books:isbn')
cover_url = _find_meta(meta, 'og:image')
title = _find_meta(meta, 'og:title')
authors = _format_list(book_info['author']['name'])
if book_info.has_key('translator'):
authors.extend([_ + u'(역자)' for _ in _format_list(book_info['translator']['name'])])
mi = Metadata(title, authors)
mi.set_identifier('ridibooks', ridibooks_id)
mi.cover_url = cover_url
mi.has_cover = bool(cover_url)
mi.publisher = _format_item(book_info['publisher']['name'])
mi.pubdate = _format_date(book_info['datePublished'])
mi.comments = _format_item(book_info['description'])
mi.rating = float(_find_meta(meta, 'books:rating:normalized_value'))
series = re.search(u'(.*)\s*(\d+)권', title)
if series:
mi.series = series.group(1)
mi.series_index = float(series.group(2))
mi.language = 'Korean'
mi.source_relevance = self.relevance
if ridibooks_id:
if isbn:
self.plugin.cache_isbn_to_identifier(isbn, ridibooks_id)
if cover_url:
self.plugin.cache_identifier_to_cover_url(ridibooks_id, cover_url)
self.plugin.clean_downloaded_metadata(mi)
self.result_queue.put(mi)
def merge(self, results, min_year, do_asr=True):
ans = Metadata(_('Unknown'))
# We assume the shortest title has the least cruft in it
ans.title = self.length_merge('title', results, null_value=ans.title)
# No harm in having extra authors, maybe something useful like an
# editor or translator
ans.authors = self.length_merge('authors',
results,
null_value=ans.authors,
shortest=False)
# We assume the shortest publisher has the least cruft in it
ans.publisher = self.length_merge('publisher',
results,
null_value=ans.publisher)
# We assume the smallest set of tags has the least cruft in it
ans.tags = self.length_merge('tags',
results,
null_value=ans.tags,
shortest=msprefs['fewer_tags'])
# We assume the longest series has the most info in it
ans.series = self.length_merge('series',
results,
null_value=ans.series,
shortest=False)
for r in results:
if r.series and r.series == ans.series:
ans.series_index = r.series_index
break
# Average the rating over all sources
ratings = []
for r in results:
rating = r.rating
if rating and rating > 0 and rating <= 5:
ratings.append(rating)
if ratings:
ans.rating = int(round(sum(ratings) / len(ratings)))
# Smallest language is likely to be valid
ans.language = self.length_merge('language',
results,
null_value=ans.language)
# Choose longest comments
ans.comments = self.length_merge('comments',
results,
null_value=ans.comments,
shortest=False)
# Published date
if min_year:
for r in results:
year = getattr(r.pubdate, 'year', None)
if year == min_year:
ans.pubdate = r.pubdate
break
if getattr(ans.pubdate, 'year', None) == min_year:
min_date = datetime(min_year,
ans.pubdate.month,
ans.pubdate.day,
tzinfo=utc_tz)
else:
min_date = datetime(min_year, 1, 2, tzinfo=utc_tz)
ans.pubdate = min_date
else:
min_date = datetime(3001, 1, 1, tzinfo=utc_tz)
for r in results:
if r.pubdate is not None:
candidate = as_utc(r.pubdate)
if candidate < min_date:
min_date = candidate
if min_date.year < 3000:
ans.pubdate = min_date
# Identifiers
for r in results:
ans.identifiers.update(r.identifiers)
# Cover URL
ans.has_cached_cover_url = bool(
[r for r in results if getattr(r, 'has_cached_cover_url', False)])
# Merge any other fields with no special handling (random merge)
touched_fields = set()
for r in results:
if hasattr(r, 'identify_plugin'):
touched_fields |= r.identify_plugin.touched_fields
for f in touched_fields:
if f.startswith('identifier:') or not ans.is_null(f):
continue
setattr(ans, f,
self.random_merge(f, results, null_value=getattr(ans, f)))
if do_asr:
avg = [x.relevance_in_source for x in results]
avg = sum(avg) / len(avg)
ans.average_source_relevance = avg
return ans
def parse_details(self, raw, root):
try:
asin = self.parse_asin(root)
except:
self.log.exception('Error parsing asin for url: %r' % self.url)
asin = None
if self.testing:
import tempfile
with tempfile.NamedTemporaryFile(prefix=asin + '_',
suffix='.html',
delete=False) as f:
f.write(raw)
print('Downloaded html for', asin, 'saved in', f.name)
try:
title = self.parse_title(root)
except:
self.log.exception('Error parsing title for url: %r' % self.url)
title = None
try:
authors = self.parse_authors(root)
except:
self.log.exception('Error parsing authors for url: %r' % self.url)
authors = []
if not title or not authors or not asin:
self.log.error('Could not find title/authors/asin for %r' %
self.url)
self.log.error('ASIN: %r Title: %r Authors: %r' %
(asin, title, authors))
return
mi = Metadata(title, authors)
idtype = 'amazon' if self.domain == 'com' else 'amazon_' + self.domain
mi.set_identifier(idtype, asin)
self.amazon_id = asin
try:
mi.rating = self.parse_rating(root)
except:
self.log.exception('Error parsing ratings for url: %r' % self.url)
try:
mi.comments = self.parse_comments(root)
except:
self.log.exception('Error parsing comments for url: %r' % self.url)
try:
series, series_index = self.parse_series(root)
if series:
mi.series, mi.series_index = series, series_index
elif self.testing:
mi.series, mi.series_index = 'Dummy series for testing', 1
except:
self.log.exception('Error parsing series for url: %r' % self.url)
try:
self.cover_url = self.parse_cover(root)
except:
self.log.exception('Error parsing cover for url: %r' % self.url)
mi.has_cover = bool(self.cover_url)
pd = root.xpath(self.pd_xpath)
if pd:
pd = pd[0]
try:
isbn = self.parse_isbn(pd)
if isbn:
self.isbn = mi.isbn = isbn
except:
self.log.exception('Error parsing ISBN for url: %r' % self.url)
try:
mi.publisher = self.parse_publisher(pd)
except:
self.log.exception('Error parsing publisher for url: %r' %
self.url)
try:
mi.pubdate = self.parse_pubdate(pd)
except:
self.log.exception('Error parsing publish date for url: %r' %
self.url)
try:
lang = self.parse_language(pd)
if lang:
mi.language = lang
except:
self.log.exception('Error parsing language for url: %r' %
self.url)
else:
self.log.warning('Failed to find product description for url: %r' %
self.url)
mi.source_relevance = self.relevance
if self.amazon_id:
if self.isbn:
self.plugin.cache_isbn_to_identifier(self.isbn, self.amazon_id)
if self.cover_url:
self.plugin.cache_identifier_to_cover_url(
self.amazon_id, self.cover_url)
self.plugin.clean_downloaded_metadata(mi)
self.result_queue.put(mi)