Function create_reading_reports_for_selection

agents/feedback-agent/main.py:193–231

Create reading reports for selected papers and route them back to the same chat.

(
    user_id: str,
    selected: Set[int],
    papers: List[Dict],
    target_id: Optional[str],
    use_chat_id: bool,
    send_to_feishu: bool,
    selection_push_id: Optional[str] = None,
)

def create_reading_reports_for_selection(
    user_id: str,
    selected: Set[int],
    papers: List[Dict],
    target_id: Optional[str],
    use_chat_id: bool,
    send_to_feishu: bool,
    selection_push_id: Optional[str] = None,
) -> List[Dict[str, Any]]:
    """Create reading reports for selected papers and route them back to the same chat."""
    if not selected or not send_to_feishu:
        return []

    paper_ids: List[int] = []
    for paper_num in sorted(selected):
        idx = int(paper_num) - 1
        if not (0 <= idx < len(papers)):
            continue
        paper = papers[idx]
        resolved_id = paper.get("id")
        paper_ids.append(int(resolved_id) if resolved_id is not None else int(paper_num))

    reading_agent = importlib.import_module("agents.reading-agent.main")
    kwargs: Dict[str, Any] = {
        "user_id": user_id,
        "paper_ids": paper_ids,
        "papers": papers,
        "send_to_feishu": True,
        "request_metadata": {
            "selection_push_id": selection_push_id,
        } if selection_push_id else None,
    }

    if use_chat_id and target_id:
        kwargs["chat_id"] = target_id
    elif target_id:
        kwargs["feishu_user_id"] = target_id

    return reading_agent.create_reading_report(**kwargs)


def parse_user_reply(reply: str, papers: List[Dict] = None) -> Set[int]: