AI Radar

BASE_URL=https://news.learnprompt.pro/data

curl -fsSL "$BASE_URL/daily-brief.json" -o /tmp/radar-brief.json
python3 -c "import json;d=json.load(open('/tmp/radar-brief.json'));print(d['generated_at'],d['total_items'])"

{
  "generated_at": "...",
  "personas": [{"id": "pragmatic", "name": "实用派"}],
  "items": [
    {
      "story_id": "...", "title": "...", "url": "...", "rank": 1,
      "reviews": {
        "pragmatic":    {"score": 85, "review": "..."},
        "cynic":        {"score": 40, "review": "..."},
        "paper-police": {"score": 55, "review": "..."}
      }
    }
  ]
}

curl -fsSL "$BASE_URL/daily-brief.json" -o /tmp/radar-brief.json
python3 - <<'EOF'
import json
d = json.load(open('/tmp/radar-brief.json'))
print(f"数据时间: {d['generated_at']} | 精选: {d['total_items']}条")
for i in d['items']:
    line = f"[{i.get('importance_label','')}|{i.get('source_count',1)}源] {i['title']} — {i.get('source_name') or i.get('source','')} — {i['url']}"
    if i.get('persona_review'):
        line += f"\n    点评({i.get('persona_score')}分): {i['persona_review']}"
    print(line)
EOF

curl -fsSL "$BASE_URL/latest-24h.json" -o /tmp/radar-24h.json
python3 - <<'EOF'
import json
d = json.load(open('/tmp/radar-24h.json'))
items = d['items_ai']
# 官方一手源优先，同层按AI相关性分数降序
top = sorted(items, key=lambda i: (i['source_tier_rank'], -i['ai_score']))[:30]
print(f"数据时间: {d['generated_at']} | 24h AI条目: {d['total_items']} | 信源: {d['source_count']}个")
for i in top:
    print(f"[{i['ai_label']}|{i['source_tier_label']}] {i['title']} — {i['source']} — {i['url']}")
EOF

python3 - <<'EOF'
import json
d = json.load(open('/tmp/radar-24h.json'))
hits = [i for i in d['items_ai'] if i['ai_label'] == 'model_release']
hits.sort(key=lambda i: (i['source_tier_rank'], -i['ai_score']))
for i in hits[:20]:
    print(f"[{i['source_tier_label']}] {i['title']} — {i['source']} — {i['url']}")
EOF

python3 - <<'EOF'
import json
KW = 'openai'  # 小写
d = json.load(open('/tmp/radar-24h.json'))
def hit(i):
    blob = ' '.join([i.get('title',''), i.get('title_en') or '', ' '.join(i.get('ai_signals') or [])]).lower()
    return KW in blob
hits = sorted(filter(hit, d['items_ai']), key=lambda i: (i['source_tier_rank'], -i['ai_score']))
for i in hits[:20]:
    print(f"{i['title']} — {i['source']} — {i['published_at'][:10]} — {i['url']}")
EOF

curl -fsSL "$BASE_URL/top3-personas.json" -o /tmp/radar-top3.json
python3 - <<'EOF'
import json
NAMES = {'pragmatic': '实用派', 'cynic': '毒舌评论员', 'paper-police': '较真党'}
d = json.load(open('/tmp/radar-top3.json'))
if not d.get('items'):
    print('EMPTY')  # 降级模式：告知需上游配LLM Key，退回普通简报
else:
    print(f"数据时间: {d['generated_at']}")
    for it in d['items']:
        print(f"\nTOP{it['rank']} {it['title']} — {it['url']}")
        for pid, r in it.get('reviews', {}).items():
            print(f"  {NAMES.get(pid, pid)}({r['score']}分): {r['review']}")
EOF

curl -fsSL "$BASE_URL/stories-merged.json" -o /tmp/radar-stories.json
python3 - <<'EOF'
import json, datetime
d = json.load(open('/tmp/radar-stories.json'))
gen = datetime.datetime.fromisoformat(d['generated_at'].replace('Z','+00:00'))
age_h = (datetime.datetime.now(datetime.timezone.utc) - gen).total_seconds()/3600
if age_h > 48:
    print(f"STALE:{age_h:.0f}h")  # 看到STALE就降级走latest-24h.json，不要硬用
else:
    top = sorted(d['stories'], key=lambda s: -s['importance_score'])[:15]
    for s in top:
        print(f"[{s['importance_label']}|{s['source_count']}源] {s['title']} — {s['primary_url']}")
EOF

curl -fsSL "$BASE_URL/source-status.json" -o /tmp/radar-status.json
python3 - <<'EOF'
import json
d = json.load(open('/tmp/radar-status.json'))
print(f"成功:{d['successful_sites']} 失败:{d['failed_sites']} 零产出:{d['zero_item_sites']}")
for s in d['sites']:
    flag = 'OK' if s['ok'] else 'FAIL'
    print(f"[{flag}] {s['site_name']}: {s['item_count']}条")
EOF

# AI雷达简报 · [日期]

> 数据窗口: 过去24小时 | 数据时间: [generated_at转为人话] | [N]条精选 / [M]个信源

## 模型发布
- **[标题]** — [来源] ([信源层级])
  [一句话说明，有原文链接]
  > [口味中文名] [persona_score]分：[persona_review]   ← 有 persona_review 才输出这行，没有就整行跳过

## 产品与工具
- ...

## 值得注意
- [热议参考层里讨论度高的1-3条]