import sqlite3,sys,collections
def runs(r, pred):
    best=cur=0; bt=None; prev=None
    for t,v in r:
        if pred(v) and prev is not None and t-prev<=180: cur+=1
        elif pred(v): cur=1
        else: cur=0
        if cur>best: best=cur; bt=t
        prev=t
    return best,bt
import datetime
for box in sys.argv[1:]:
    db=sqlite3.connect(f'file:{box}/metrics.db?mode=ro',uri=True)
    nc=None
    rows=collections.defaultdict(list)
    for ts,name,cpu,tx in db.execute('select ts,container_name,cpu_percent,net_tx_bytes from container_metrics order by ts'):
        rows[name].append((ts,cpu,tx))
    print('==',box.rsplit('/',1)[1])
    out=[]
    for name,r in rows.items():
        cpu=[(t,c) for t,c,_ in r]
        tx=[]
        for (t0,_,a),(t1,_,b) in zip(r,r[1:]):
            if a is None or b is None or b<a or not 0<t1-t0<=180: continue
            tx.append((t1,(b-a)*8/(t1-t0)/1e6))
        c150,ct=runs(cpu,lambda v:v>=150); c80,_=runs(cpu,lambda v:v>=80)
        u5,ut=runs(tx,lambda v:v>=5); u1,_=runs(tx,lambda v:v>=1)
        if max(c80,u1)>=3: out.append((name,c80,c150,ct,u1,u5,ut))
    print(f'{"container":28} cpu>=80% cpu>=150% (at)              tx>=1Mbit tx>=5Mbit (at)   [longest run, minutes]')
    for name,c80,c150,ct,u1,u5,ut in sorted(out,key=lambda x:-max(x[1],x[4])):
        f=lambda t: datetime.datetime.utcfromtimestamp(t).strftime('%m-%d %H:%M') if t else '-'
        print(f'{name[:28]:28} {c80:8} {c150:9} ({f(ct)})   {u1:9} {u5:9} ({f(ut)})')