def do_process_story_webpage(
ctx: ActorContext,
story_id: T.int,
url: T.url,
text: T.str.maxlen(5 * 1024 * 1024),
):
# https://github.com/dragnet-org/dragnet
# https://github.com/misja/python-boilerpipe
# https://github.com/dalab/web2text
# https://github.com/grangier/python-goose
# https://github.com/buriy/python-readability
# https://github.com/codelucas/newspaper
text = text.strip()
if not text:
return
content = story_readability(text)
content = process_story_links(content, url)
summary = shorten(story_html_to_text(content), width=300)
if not summary:
return
ctx.hope(
'harbor_rss.update_story',
dict(
story_id=story_id,
content=content,
summary=summary,
url=url,
))
def _clean_story_html(text, *, readability=False):
text = story_html_clean(text)
if readability:
text = story_readability(text)
url = 'https://rss.anyant.com/'
text = process_story_links(text, url)
return text
def process_story_links(storys=None):
story_ids = _get_story_ids(storys)
LOG.info('total %s storys', len(story_ids))
for story_id in tqdm.tqdm(story_ids, ncols=80, ascii=True):
with transaction.atomic():
story = Story.objects.only('id', 'content', '_version').get(pk=story_id)
content = processor.process_story_links(story.content, story.link)
if story.content != content:
story.content = content
story.save()
def do_process_story_webpage(
ctx: ActorContext,
feed_id: T.int,
offset: T.int,
url: T.url,
text: T.str.maxlen(_MAX_STORY_HTML_LENGTH),
num_sub_sentences: T.int.optional,
) -> SCHEMA_FETCH_STORY_RESULT:
# https://github.com/dragnet-org/dragnet
# https://github.com/misja/python-boilerpipe
# https://github.com/dalab/web2text
# https://github.com/grangier/python-goose
# https://github.com/buriy/python-readability
# https://github.com/codelucas/newspaper
DEFAULT_RESULT = dict(feed_id=feed_id, offset=offset, url=url)
text = text.strip()
if not text:
return DEFAULT_RESULT
text = story_html_clean(text)
content = story_readability(text)
content = process_story_links(content, url)
content_info = StoryContentInfo(content)
text_content = shorten(content_info.text, width=_MAX_STORY_CONTENT_LENGTH)
num_sentences = len(split_sentences(text_content))
if len(content) > _MAX_STORY_CONTENT_LENGTH:
msg = 'too large story#%s,%s size=%s url=%r, will only save plain text'
LOG.warning(msg, feed_id, offset, len(content), url)
content = text_content
# 如果取回的内容比RSS内容更短，就不是正确的全文
if num_sub_sentences is not None:
if not is_fulltext_content(content_info):
if num_sentences <= num_sub_sentences:
msg = 'fetched story#%s,%s url=%s num_sentences=%s less than num_sub_sentences=%s'
LOG.info(msg, feed_id, offset, url, num_sentences,
num_sub_sentences)
return DEFAULT_RESULT
summary = shorten(text_content, width=_MAX_STORY_SUMMARY_LENGTH)
if not summary:
return DEFAULT_RESULT
result = dict(
**DEFAULT_RESULT,
content=content,
summary=summary,
sentence_count=num_sentences,
)
if not ctx.message.is_ask:
ctx.hope('harbor_rss.update_story', result)
return result
def _get_storys(entries: list):
storys = deque(maxlen=300) # limit num storys
while entries:
data = entries.pop()
story = {}
content = ''
if data["content"]:
# both content and summary will in content list, peek the longest
for x in data["content"]:
value = x["value"]
if value and len(value) > len(content):
content = value
if not content:
content = data["description"]
if not content:
content = data["summary"]
story['has_mathjax'] = story_has_mathjax(content)
link = normlize_url(data["link"])
valid_link = ''
if link:
try:
valid_link = validate_url(link)
except Invalid:
LOG.warning(f'invalid story link {link!r}')
story['link'] = valid_link
content = story_html_clean(content)
if len(content) >= 1024 * 1024:
msg = 'too large story link=%r content length=%s, will only save plain text!'
LOG.warning(msg, link, len(content))
content = story_html_to_text(content)
content = process_story_links(content, valid_link)
story['content'] = content
summary = data["summary"]
if not summary:
summary = content
summary = shorten(story_html_to_text(summary), width=300)
story['summary'] = summary
title = shorten(data["title"] or link or summary, 200)
unique_id = shorten(data['id'] or link or title, 200)
content_hash_base64 = compute_hash_base64(content, summary, title)
story['title'] = title
story['content_hash_base64'] = content_hash_base64
story['unique_id'] = unique_id
story['author'] = shorten(data["author"], 200)
story['dt_published'] = _get_dt_published(data)
story['dt_updated'] = _get_dt_updated(data)
storys.append(story)
return list(storys)
def do_process_story_webpage(
ctx: ActorContext,
story_id: T.int,
url: T.url,
text: T.str.maxlen(_MAX_STORY_HTML_LENGTH),
num_sub_sentences: T.int.optional,
):
# https://github.com/dragnet-org/dragnet
# https://github.com/misja/python-boilerpipe
# https://github.com/dalab/web2text
# https://github.com/grangier/python-goose
# https://github.com/buriy/python-readability
# https://github.com/codelucas/newspaper
text = text.strip()
if not text:
return
text = story_html_clean(text)
content = story_readability(text)
content = process_story_links(content, url)
if len(content) > _MAX_STORY_CONTENT_LENGTH:
msg = 'too large story#%s size=%s url=%r, will only save plain text'
LOG.warning(msg, story_id, len(content), url)
content = shorten(story_html_to_text(content),
width=_MAX_STORY_CONTENT_LENGTH)
# 如果取回的内容比RSS内容更短，就不是正确的全文
if num_sub_sentences is not None:
if not is_fulltext_content(content):
num_sentences = len(split_sentences(story_html_to_text(content)))
if num_sentences <= num_sub_sentences:
msg = 'fetched story#%s url=%s num_sentences=%s less than num_sub_sentences=%s'
LOG.info(msg, story_id, url, num_sentences, num_sub_sentences)
return
summary = shorten(story_html_to_text(content),
width=_MAX_STORY_SUMMARY_LENGTH)
if not summary:
return
ctx.hope(
'harbor_rss.update_story',
dict(
story_id=story_id,
content=content,
summary=summary,
url=url,
))
def _get_storys(entries: list):
storys = deque(maxlen=300) # limit num storys
while entries:
data = entries.pop()
story = {}
story['unique_id'] = shorten(_get_story_unique_id(data), 200)
content = ''
if data["content"]:
# both content and summary will in content list, peek the longest
for x in data["content"]:
value = x["value"]
if value and len(value) > len(content):
content = value
if not content:
content = data["description"]
if not content:
content = data["summary"]
story['has_mathjax'] = story_has_mathjax(content)
content = story_html_clean(content)
content = process_story_links(content, data["link"])
story['content'] = content
summary = data["summary"]
if not summary:
summary = content
# TODO: performance
summary = shorten(story_html_to_text(summary), width=300)
story['summary'] = summary
story['link'] = data["link"]
title = shorten(data["title"] or story['link'] or story['unique_id'], 200)
content_hash_base64 = compute_hash_base64(content, summary, title)
story['title'] = title
story['content_hash_base64'] = content_hash_base64
story['author'] = shorten(data["author"], 200)
story['dt_published'] = _get_dt_published(data)
story['dt_updated'] = _get_dt_updated(data)
storys.append(story)
return list(storys)
