llm_snare.py

#!/usr/bin/env python3
import urllib.request, json
from datetime import datetime, timezone

url = 'https://llmsnare-api.mistermorph.com/v1/timelines?limit=96'
data = json.loads(urllib.request.urlopen(url, timeout=60).read())

NAMES = {'deepseek_v4_pro':'DeepSeek V4 Pro','deepseek_v4_flash':'DeepSeek V4 Flash','claude_opus_4_6':'Claude Opus 4.6','claude_opus_4_7':'Claude Opus 4.7','claude_sonnet_4_6':'Claude Sonnet 4.6','openai_gpt_5_5':'GPT-5.5','openai_gpt_5_4':'GPT-5.4','minimax_m_2_7':'MiniMax M2.7','minimax_m_2_5':'MiniMax M2.5','glm_5_turbo':'GLM-5 Turbo','glm_5_1':'GLM-5.1','grok_4_1_fast_reasoning':'Grok 4.1 Fast','grok_4_2_reasoning':'Grok 4.2','gemini_3_5_flash':'Gemini 3.5 Flash','gemini_3_1_pro_preview':'Gemini 3.1 Pro','gemini_3_1_flash_lite':'Gemini 3.1 Flash Lite','gemini_2_5_flash':'Gemini 2.5 Flash','kimi_k_2_5':'Kimi K2.5','kimi_k_2_6':'Kimi K2.6','openrouter_qwen_3_5_27b':'Qwen 3.5 27B','openrouter_qwen_3_6_plus':'Qwen 3.6 Plus','openrouter_gemma_4_31b':'Gemma 4 31B','openrouter_mimo_v2_pro':'Mimo V2 Pro'}

rows = []
for pid, pdata in data.get('profiles', {}).items():
    entries = pdata.get('entries', [])
    name = NAMES.get(pid, pid)
    points = sorted([(e['timestamp'], e['normalized_score'], e.get('raw_score',0), e.get('max_score',0)) for e in entries], key=lambda x: x[0])
    scores = [p[1] for p in points]
    raw = [p[2] for p in points]
    maxs = [p[3] for p in points]
    n = len(scores)
    if n < 4: continue
    avg8 = round(sum(scores[-8:])/8,1)
    prev8 = scores[-16:-8] if n>=16 else scores[:max(1,n-8)]
    avg_prev8 = round(sum(prev8)/len(prev8),1) if prev8 else avg8
    change = round(avg8-avg_prev8,1)
    latest = round(scores[-1],1)
    rows.append({'name':name,'avg8':avg8,'change':change,'latest':latest,'raw':int(raw[-1]),'max':int(maxs[-1])})

rows.sort(key=lambda x: -x['avg8'])
now = datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC')

lines = [f'📊 **LLM Snare Arena 监控**',f'📅 {now}','','**🔥 Top 5（近期均分）：**']
for i,r in enumerate(rows[:5],1):
    lines.append(f'{i}. {r["name"]} — {r["avg8"]}')
lines.append('')
lines.append('**💀 垫底 3：**')
for r in rows[-3:]:
    lines.append(f'- {r["name"]} — {r["avg8"]}')
lines.append('')
lines.append('**📈 近期变化（前8 vs 再前8）：**')
changes = sorted(rows, key=lambda x: -abs(x['change']))[:6]
for r in changes:
    arrow = '↑' if r['change']>0 else '↓'
    lines.append(f'- {r["name"]} {arrow} {abs(r["change"])}')
lines.append('')
lines.append('**🕐 最新一次得分：**')
for r in rows:
    icon = '✅' if r['latest']>=50 else '❌'
    lines.append(f'{icon} {r["name"]} — {r["latest"]} ({r["raw"]}/{r["max"]})')

print('\n'.join(lines))