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d02bacd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | from __future__ import annotations
from typing import Iterable, Sequence
def build_hr_memo(audience: str, task_title: str, highlights: Sequence[str]) -> str:
opening = f"Hello {audience},"
body = [
"Thank you for moving quickly on this update.",
f"Here is the latest business update for {task_title}.",
]
body.extend(f"- {line}" for line in highlights[:4])
close = [
"Please review the actions above and reply with any blockers today.",
"Best,",
"HR Operations",
]
return "\n".join([opening, "", *body, "", *close])
def score_memo(memo: str, required_terms: Iterable[str]) -> float:
text = memo.lower()
score = 0.2
if memo.startswith("Hello "):
score += 0.15
if "thank" in text or "appreciate" in text:
score += 0.15
if "please review" in text or "reply with any blockers" in text:
score += 0.2
if "best," in text:
score += 0.1
matched = 0
terms = [t.lower() for t in required_terms if t]
for term in terms:
if term in text:
matched += 1
if terms:
score += 0.2 * (matched / len(terms))
return max(0.001, min(0.999, round(score, 4)))
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