def do_update_story(
ctx: ActorContext,
feed_id: T.int,
offset: T.int,
content: T.str,
summary: T.str,
has_mathjax: T.bool.optional,
url: T.url,
):
story = STORY_SERVICE.get_by_offset(feed_id, offset, detail=True)
if not story:
LOG.error('story#%s,%s not found', feed_id, offset)
return
if not is_fulltext_content(content):
story_text = processor.story_html_to_text(story.content)
text = processor.story_html_to_text(content)
if not is_summary(story_text, text):
msg = 'fetched story#%s,%s url=%r is not fulltext of feed story content'
LOG.info(msg, feed_id, offset, url)
return
data = dict(
link=url,
content=content,
summary=summary,
has_mathjax=has_mathjax,
)
STORY_SERVICE.update_story(feed_id, offset, data)
_detect_story_images(ctx, story)
def do_update_story(
ctx: ActorContext,
story_id: T.int,
content: T.str,
summary: T.str,
has_mathjax: T.bool.optional,
url: T.url,
):
story = Story.objects.get(pk=story_id)
if not is_fulltext_content(content):
story_text = processor.story_html_to_text(story.content)
text = processor.story_html_to_text(content)
if not is_summary(story_text, text):
msg = 'fetched story#%s url=%r is not fulltext of feed story content'
LOG.info(msg, story_id, url)
return
with transaction.atomic():
story.refresh_from_db()
story.link = url
story.content = content
story.summary = summary
if has_mathjax is not None:
story.has_mathjax = has_mathjax
story.save()
_detect_story_images(ctx, story)
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 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 test_is_fulltext_content(name, expect_is_fulltext):
html = (_data_dir / f'{name}.html').read_text()
html = _clean_story_html(html, readability=name.endswith('web'))
got = is_fulltext_content(StoryContentInfo(html))
assert got == expect_is_fulltext
def _is_fulltext_story(story):
if story.iframe_url or story.audio_url or story.image_url:
return True
return is_fulltext_content(StoryContentInfo(story.content))
def is_fulltext_story(story):
if story.iframe_url or story.audio_url:
return True
return is_fulltext_content(story.content)
