35 lines
945 B
Python
35 lines
945 B
Python
from __future__ import annotations
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import re
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from app.models.agents import Agent
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# Mention tokens are single, space-free words (e.g. "@alex", "@lead").
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MENTION_PATTERN = re.compile(r"@([A-Za-z][\w-]{0,31})")
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def extract_mentions(message: str) -> set[str]:
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return {match.group(1).lower() for match in MENTION_PATTERN.finditer(message)}
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def matches_agent_mention(agent: Agent, mentions: set[str]) -> bool:
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if not mentions:
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return False
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# "@lead" is a reserved shortcut that always targets the board lead.
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if "lead" in mentions and agent.is_board_lead:
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return True
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mentions = mentions - {"lead"}
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name = (agent.name or "").strip()
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if not name:
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return False
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normalized = name.lower()
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if normalized in mentions:
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return True
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# Mentions are single tokens; match on first name for display names with spaces.
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first = normalized.split()[0]
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return first in mentions
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