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636046aec9
This adds the data model and bugdown support for the new UserGroup mention feature. Before it'll be fully operational, we'll still need: * A backend API for making these. * A UI for interacting with that API. * Typeahead on the frontend. * CSS to make them look pretty and see who's in them.
43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
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from typing import Optional, Set, Text
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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\'\"\(,:<])@(\*\*[^\*]+\*\*|all|everyone)'
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user_group_mentions = r'(?<![^\s\'\"\(,:<])@(\*[^\*]+\*)'
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wildcards = ['all', 'everyone']
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def user_mention_matches_wildcard(mention):
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# type: (Text) -> bool
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return mention in wildcards
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def extract_name(s):
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# type: (Text) -> Optional[Text]
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if s.startswith("**") and s.endswith("**"):
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name = s[2:-2]
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if name in wildcards:
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return None
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return name
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# We don't care about @all or @everyone
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return None
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def possible_mentions(content):
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# type: (Text) -> Set[Text]
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matches = re.findall(find_mentions, content)
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names_with_none = (extract_name(match) for match in matches)
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names = {name for name in names_with_none if name}
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return names
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def extract_user_group(matched_text):
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# type: (Text) -> Text
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return matched_text[1:-1]
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def possible_user_group_mentions(content):
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# type: (Text) -> Set[Text]
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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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