@lark-project/cli/lib/v2/services/whoami/format.js

飞书项目插件开发工具

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.formatWhoami = void 0;
/** Render a unix-seconds timestamp as local YYYY-MM-DD. */
function formatDate(ts) {
    const d = new Date(ts * 1000);
    const pad = (n) => String(n).padStart(2, '0');
    return `${d.getFullYear()}-${pad(d.getMonth() + 1)}-${pad(d.getDate())}`;
}
/**
 * Render the self-describing `lpm whoami` report. The text itself tells the AI
 * what to do (suggest + confirm), so skills don't need to restate the rule.
 * Input is a WhoamiSelection, which carries only origins + timestamps — never
 * a token — so this output cannot leak credentials.
 */
function formatWhoami(sel) {
    const { domains, suggested } = sel;
    if (domains.length === 0) {
        return '未登录。请先执行 lpm login --site-domain <url>。';
    }
    if (domains.length === 1) {
        return [
            `已登录站点：${domains[0].domain}  ← 建议用于 lpm create`,
            '→ 与用户确认此站点后再创建。',
        ].join('\n');
    }
    const lines = [];
    if (suggested) {
        lines.push('已登录站点（最近使用优先）：');
        domains.forEach((e, i) => {
            const when = e.lastUsedAt !== undefined ? `  (上次使用 ${formatDate(e.lastUsedAt)})` : '';
            const mark = e.domain === suggested ? '  ← 建议' : '';
            lines.push(`  ${i + 1}. ${e.domain}${when}${mark}`);
        });
        lines.push('→ 向用户建议标记 ← 的站点，确认后用于 lpm create；用户也可改选其它。');
    }
    else {
        lines.push('已登录站点：');
        domains.forEach(e => lines.push(`  - ${e.domain}`));
        lines.push('→ 无法判定最近使用站点，请让用户选择其一。');
    }
    return lines.join('\n');
}
exports.formatWhoami = formatWhoami;