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becef760bf
Previous cleanups (mostly the removals of Python __future__ imports) were done in a way that introduced leading newlines. Delete leading newlines from all files, except static/assets/zulip-emoji/NOTICE, which is a verbatim copy of the Apache 2.0 license. Signed-off-by: Anders Kaseorg <anders@zulipchat.com>
41 lines
1.4 KiB
Python
41 lines
1.4 KiB
Python
from typing import Optional, Set, Tuple
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import re
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# Match multi-word string between @** ** or match any one-word
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# sequences after @
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find_mentions = r'(?<![^\s\'\"\(,:<])@(?P<silent>_?)(?P<match>\*\*[^\*]+\*\*|all|everyone|stream)'
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user_group_mentions = r'(?<![^\s\'\"\(,:<])@(\*[^\*]+\*)'
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wildcards = ['all', 'everyone', 'stream']
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def user_mention_matches_wildcard(mention: str) -> bool:
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return mention in wildcards
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def extract_mention_text(m: Tuple[str, str]) -> Optional[str]:
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# re.findall provides tuples of match elements; we want the second
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# to get the main mention content.
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s = m[1]
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if s.startswith("**") and s.endswith("**"):
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text = s[2:-2]
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if text in wildcards:
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return None
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return text
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# We don't care about @all, @everyone or @stream
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return None
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def possible_mentions(content: str) -> Set[str]:
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matches = re.findall(find_mentions, content)
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# mention texts can either be names, or an extended name|id syntax.
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texts_with_none = (extract_mention_text(match) for match in matches)
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texts = {text for text in texts_with_none if text}
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return texts
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def extract_user_group(matched_text: str) -> str:
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return matched_text[1:-1]
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def possible_user_group_mentions(content: str) -> Set[str]:
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matches = re.findall(user_group_mentions, content)
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return {extract_user_group(match) for match in matches}
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