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217, "active_count": 189, "count": 189, "denominator": 51206, "rate_percent": 0.37, "first_retained_job_seen_at": "2026-08-04T08:53:09+08:00", "first_retained_run_at": "2026-08-04T08:52:47+08:00", "last_job_verified_at": "2026-10-11T00:03:10+08:00", "latest_run_status": "success", "latest_run_finished_at": "2026-10-11T00:03:10+08:00", "latest_run_collected_count": 189, "last_success_finished_at": "2026-10-11T00:03:10+08:00", "consecutive_failed_runs": 0}, {"source": "tongyi", "label": "通义实验室招聘", "official_url": "https://careers-tongyi.alibaba.com/?lang=zh", "configured": true, "historical_count": 77, "active_count": 65, "count": 65, "denominator": 51206, "rate_percent": 0.13, "first_retained_job_seen_at": "2026-08-04T08:52:02+08:00", "first_retained_run_at": "2026-08-04T08:51:46+08:00", "last_job_verified_at": "2026-10-11T00:03:02+08:00", "latest_run_status": "success", "latest_run_finished_at": "2026-10-11T00:03:02+08:00", "latest_run_collected_count": 65, "last_success_finished_at": "2026-10-11T00:03:02+08:00", "consecutive_failed_runs": 0}, {"source": "xiaohongshu", "label": "小红书招聘", "official_url": "https://job.xiaohongshu.com/social/position?positionName=", "configured": true, "historical_count": 1068, "active_count": 855, "count": 855, "denominator": 51206, "rate_percent": 1.67, "first_retained_job_seen_at": "2026-08-03T19:45:38+08:00", "first_retained_run_at": "2026-08-03T19:45:36+08:00", "last_job_verified_at": "2026-10-11T00:11:19+08:00", "latest_run_status": "success", "latest_run_finished_at": "2026-10-11T00:11:19+08:00", "latest_run_collected_count": 855, "last_success_finished_at": "2026-10-11T00:11:19+08:00", "consecutive_failed_runs": 0}, {"source": "xiaohongshu_campus", "label": "小红书校园招聘", "official_url": "https://job.xiaohongshu.com/campus/position", "configured": true, "historical_count": 934, "active_count": 466, "count": 466, "denominator": 51206, "rate_percent": 0.91, "first_retained_job_seen_at": "2026-08-06T14:17:01+08:00", "first_retained_run_at": "2026-08-06T14:17:01+08:00", "last_job_verified_at": "2026-10-11T00:20:13+08:00", "latest_run_status": "success", "latest_run_finished_at": "2026-10-11T00:20:13+08:00", "latest_run_collected_count": 466, "last_success_finished_at": "2026-10-11T00:20:13+08:00", "consecutive_failed_runs": 0}, {"source": "xiaomi", "label": "小米招聘", "official_url": "https://xiaomi.jobs.f.mioffice.cn/index", "configured": true, "historical_count": 2769, "active_count": 1957, "count": 1957, "denominator": 51206, "rate_percent": 3.82, "first_retained_job_seen_at": "2026-08-03T19:30:32+08:00", "first_retained_run_at": "2026-08-03T19:28:06+08:00", "last_job_verified_at": "2026-10-11T00:10:29+08:00", "latest_run_status": "success", "latest_run_finished_at": "2026-10-11T00:10:30+08:00", "latest_run_collected_count": 1957, "last_success_finished_at": "2026-10-11T00:10:30+08:00", "consecutive_failed_runs": 0}, {"source": "xiaomi_campus", "label": "小米校园招聘", "official_url": "https://xiaomi.jobs.f.mioffice.cn/campus/?spread=J7NS6YR", "configured": true, "historical_count": 893, "active_count": 779, "count": 779, "denominator": 51206, "rate_percent": 1.52, "first_retained_job_seen_at": "2026-08-06T14:16:50+08:00", "first_retained_run_at": "2026-08-06T14:16:18+08:00", "last_job_verified_at": "2026-10-11T00:19:49+08:00", "latest_run_status": "success", "latest_run_finished_at": "2026-10-11T00:19:49+08:00", "latest_run_collected_count": 779, "last_success_finished_at": "2026-10-11T00:19:49+08:00", "consecutive_failed_runs": 0}], "collection_health": {"denominator": 82, "latest_run_status_counts": {"success": 78, "failed": 0, "other": 4, "unavailable": 0}, "active_record_freshness": {"verified_within_24h": {"count": 50145, "denominator": 51206, "rate_percent": 97.93}, "older_than_24h": {"count": 1061, "denominator": 51206, "rate_percent": 2.07}, "missing_or_invalid": {"count": 0, "denominator": 51206, "rate_percent": 0.0}, "future_timestamp": {"count": 0, "denominator": 51206, "rate_percent": 0.0}}}, "comparison": {"status": "UNAVAILABLE", "window_days": 7, "baseline_date": "2026-10-04", "reason": "七天前快照须先核对来源集合、岗位标识及字段修订；仅有总量快照不证明同口径，不计算新增、环比或趋势。"}, "methodology": {"active": "is_active = 1 表示数据库最近留存的在招状态，不等于本次生成时再次访问官网。", "data_as_of": "所有留存岗位 last_seen_at 的最大值；不是每个来源同时核验的时间。各来源时间单列。", "types": "直接使用 jobs.job_type，不根据标题、公司或关键词推断；未知值单列。", "cities": "沿用 CITY_THEMES 的城市词，匹配 location 原文；同一岗位可命中多个城市，各城市数量不可相加当作独立岗位数。未匹配不等于无地点。", "city_types": "城市与 job_type 交叉统计同一份在招快照；占比分母为该城市命中记录数。招聘类型不按标题推断，多地点岗位可在多个城市出现，来源数不是独立企业数。", "quality": "统计存储字段去空白后的存在性，不表示内容正确、完整或适合所有用户；日期有效率另用 Python date.fromisoformat 校验前 10 位。", "official_date": "只读取 posted_at，不以 updated_at、first_seen_at 或 last_seen_at 补齐官网发布日期；仍受采集来源字段语义的限制。", "source_history": "最早留存岗位/运行时间仅表示当前数据库保留的证据边界，不证明来源真实上线或接入日期。", "failures": "最新采集失败、无运行记录或旧核验记录均保留披露；失败来源中的在招记录可能滞后。不得将采集失败视作官网无岗位。", "limitations": ["样本仅涵盖已接入企业招聘来源，不代表全行业、全国岗位总量或招聘需求增长。", "不同来源可能存在同一岗位、批次或城市重复记录；未进行跨来源语义去重。", "岗位数不是招聘人数；城市词命中不是行政区精确定位或独立岗位分配。", "首次发现时间是职先机采集证据，不是企业官网新发布或来源新加入时间。", "采集失败、来源加入、历史回填和字段修复均可改变统计口径；无同口径历史快照不做趋势结论。", "生成过程仅备份读取 jobs 与 source_runs 聚合，不读取账号、访客、邮箱或 IP。"], "sql": {"overview": "SELECT COUNT(*) AS historical_count,\n        SUM(is_active = 1) AS active_count, SUM(is_active = 0) AS inactive_count,\n        COUNT(DISTINCT CASE WHEN is_active = 1 THEN source END) AS active_source_count,\n        MIN(NULLIF(first_seen_at, '')) AS coverage_start,\n        MAX(NULLIF(last_seen_at, '')) AS data_as_of FROM jobs", "types": "SELECT job_type, COUNT(*) AS active_count,\n        COUNT(DISTINCT source) AS source_count FROM jobs WHERE is_active = 1\n        GROUP BY job_type ORDER BY active_count DESC, job_type", "cities": "SELECT COUNT(*) AS active_count FROM jobs\n        WHERE is_active = 1 AND instr(location, ?) > 0", "city_types": "SELECT job_type, COUNT(*) AS active_count,\n        COUNT(DISTINCT source) AS source_count FROM jobs\n        WHERE is_active = 1 AND instr(location, ?) > 0\n        GROUP BY job_type ORDER BY active_count DESC, job_type", "city_union": "SELECT COUNT(*) FROM jobs WHERE is_active = 1\n        AND matches_city(location) = 1", "quality": "SELECT SUM(has_text(description)) AS description,\n        SUM(has_text(requirements)) AS requirements,\n        SUM(has_text(posted_at)) AS official_posted_at_present,\n        SUM(valid_date(posted_at)) AS official_posted_at_valid,\n        SUM(has_text(location)) AS location,\n        SUM(has_text(description) AND has_text(requirements)) AS description_and_requirements\n        FROM jobs WHERE is_active = 1", "sources": "SELECT source, COUNT(*) AS historical_count,\n        SUM(is_active = 1) AS active_count,\n        MIN(NULLIF(first_seen_at, '')) AS first_retained_job_seen_at,\n        MAX(NULLIF(last_seen_at, '')) AS last_job_verified_at\n        FROM jobs GROUP BY source ORDER BY source", "runs": "SELECT id, source, status, started_at, finished_at, collected_count\n        FROM source_runs ORDER BY id DESC", "freshness": "SELECT last_seen_at, COUNT(*) AS active_count\n        FROM jobs WHERE is_active = 1 GROUP BY last_seen_at"}, "sql_parameters": {"cities": {"beijing": "北京", "shanghai": "上海", "shenzhen": "深圳", "guangzhou": "广州", "hangzhou": "杭州", "chengdu": "成都", "nanjing": "南京", "wuhan": "武汉", "xian": "西安", "suzhou": "苏州"}}}}