Add native gameplay outcomes, recovery verification, and realm diagnostics
Core tests / core (push) Successful in 40s
Core tests / core (push) Successful in 40s
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"""Read native counters and profiler output; return bounded public measurements."""
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import json,subprocess,time,math
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COUNTERS=('quests','abandoned','lootEvents','lootItems','partyKills','rewarded')
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def normalize_performance(raw):
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def number(v):
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try:
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n=float(v);return n if math.isfinite(n) and n>=0 else 0
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except (TypeError,ValueError):return 0
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rows=[]
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for metric in raw.get('metrics',[]):
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for row in metric.get('rows',[]):
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if number(row.get('count'))<=0:continue
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rows.append({'category':str(metric.get('type',''))[:40],'name':str(row.get('name',''))[:160],'calls':number(row.get('count')),'totalMs':number(row.get('totalTime'))/1000,'averageMs':number(row.get('avgTime'))/1000,'maxMs':number(row.get('maxTime'))/1000,'perTickMs':number(row.get('timePerTick'))/1000})
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# Nested timers overlap. Do not sum their percentages or call this CPU usage.
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rows.sort(key=lambda r:r['totalMs'],reverse=True)
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ticks=number(raw.get('fullTickCount'))
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return {'at':number(raw.get('generatedAt')),'enabled':raw.get('enabled') is True,'ticks':ticks,'averageTickMs':number(raw.get('fullTickTotalTime'))/max(1,ticks)/1000,'rows':rows[:20]}
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def collect(sql,state):
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bots=[b for b in state.get('bots',[]) if b.get('autonomy',{}).get('managed') and type(b.get('autonomy',{}).get('characterGuid')) is int]
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allowed={b['autonomy']['characterGuid']:b for b in bots}
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rows={}
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for line in sql('SELECT guid,quests,abandoned,loot_events,loot_items,party_kills FROM acore_auth.azerothai_outcomes').splitlines():
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fields=list(map(int,line.split('\t')))
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if fields[0] in allowed:rows[fields[0]]=dict(zip(COUNTERS,fields[1:]+[0]))
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rewarded={}
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if allowed:
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guids=','.join(map(str,allowed))
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for line in sql('SELECT guid,COUNT(*) FROM acore_characters.character_queststatus_rewarded WHERE guid IN ('+guids+') GROUP BY guid').splitlines():
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guid,count=map(int,line.split('\t'));rewarded[guid]=count
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result=[]
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for guid,b in allowed.items():
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counters=rows.get(guid,dict.fromkeys(COUNTERS,0));counters['rewarded']=rewarded.get(guid,0)
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result.append({'guid':guid,'name':b['name'],**counters})
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return result
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def performance():
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# Both paths are fixed; no user-controlled shell input and no credentials.
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for path in ['/azerothcore/env/dist/logs/pmon_tick.json','/azerothcore/pmon_tick.json']:
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p=subprocess.run(['docker','exec','ac-worldserver','cat',path],capture_output=True,text=True,timeout=10)
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if p.returncode==0:return normalize_performance(json.loads(p.stdout))
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return None
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