Function wiki_stats

deployments/desktop/shared/agents.py:3072–3128

(user_id: str)

        for index, doc in enumerate(docs or [])
    ]


def _reports_payload(docs: Iterable[Dict[str, Any]], *, write_feishu_requested: bool) -> Dict[str, Any]:
    created_docs = _doc_payloads(docs)
    feishu_errors = [
        str(doc.get("feishu_error") or "").strip()
        for doc in created_docs
        if str(doc.get("feishu_error") or "").strip()
    ]
    feishu_warning = None
    if write_feishu_requested and feishu_errors:
        feishu_warning = (
            "飞书文档发送失败，已保留本地 Markdown。"
            "请检查 FEISHU_CLI_CMD / lark-cli 登录状态，以及 FEISHU_APP_ID、FEISHU_APP_SECRET 等飞书环境变量。"
            f"错误：{feishu_errors[0]}"
        )
    elif write_feishu_requested and created_docs and not any(doc.get("url") for doc in created_docs):
        feishu_warning = (
            "未拿到飞书文档链接，已保留本地 Markdown。"
            "请检查飞书环境变量和 lark-cli 登录状态。"
        )
    return {
        "created_docs": created_docs,
        "count": len(created_docs),
        "write_feishu_requested": write_feishu_requested,
        "feishu_warning": feishu_warning,
    }


def _report_summary_payload(report: Dict[str, Any]) -> Dict[str, Any]:
    return {
        "report_id": report["report_id"],
        "title": report["title"],
        "user_id": report["user_id"],
        "paper_id": report["paper_id"],
        "arxiv_id": report["arxiv_id"],
        "saved_at": report["saved_at"],
        "updated_at": report["updated_at"],
        "report_path": report["report_path"],
        "doc_url": report["doc_url"],
        "doc_token": report["doc_token"],
        "pdf_url": report["pdf_url"],
        "abs_url": report["abs_url"],
        "report_version": report["report_version"],
        "generation_provider": report["generation_provider"],
        "generation_model": report["generation_model"],
        "snippet": report["snippet"],
    }


def list_reports(
    user_id: str = "",
    query: str = "",
    days: int = 30,
    limit: int = 80,
    exact_date: str = "",
) -> Dict[str, Any]:
    normalized_user = str(user_id or "").strip()