Function _term_matches_daily_note_section

agents/reading-agent/main.py:2350–2358

(term: str, section_text: str)

def _term_matches_daily_note_section(term: str, section_text: str) -> bool:
    normalized_term = _clean_text(term).replace("_", " ").replace("-", " ").lower()
    normalized_section = _clean_text(section_text).replace("_", " ").replace("-", " ").lower()
    if not normalized_term or not normalized_section:
        return False
    if normalized_term in normalized_section:
        return True
    tokens = [token for token in re.split(r"[^0-9a-zA-Z\u4e00-\u9fff]+", normalized_term) if len(token) >= 3]
    return bool(tokens) and all(token in normalized_section for token in tokens)


def _daily_note_topic_methods(section_body: str, user_profile: Optional[Dict[str, Any]]) -> List[str]:
    section_text = re.sub(r"\s+", " ", section_body)