# Offline model of PBS's prune selection (pbs-datastore prune.rs compute_prune_info / mark_selections),
# run over ep0's snapshot list. Never touches ep0. ep0's clock is UTC (timedatectl), and PBS keys
# weekly buckets by local time "%G/%V" (ISO year/week).
import sys, datetime
snaps = {}
for line in open(sys.argv[1]):
    line=line.strip()
    if line.startswith('ns/') and '/ct/' in line:
        ns = line.split('/')[1]; t = line.rsplit('/',1)[1]
        snaps.setdefault(ns, []).append(t)
def sel_last(t): return t
def sel_week(t):
    d = datetime.datetime.strptime(t, '%Y-%m-%dT%H:%M:%SZ'); y,w,_ = d.isocalendar(); return f"{y}/{w:02d}"
def compute(lst, opts):
    lst = sorted(lst, reverse=True); mark = {}
    for keep, sel in opts:
        already = {sel(t) for t in lst if mark.get(t)=='keep'}; inc=set()
        for t in lst:
            if t in mark: continue
            s = sel(t)
            if s in already: continue
            if s not in inc:
                if len(inc) >= keep: break
                inc.add(s); mark[t]='keep'
            else: mark[t]='remove'
    return {t: mark.get(t,'remove') for t in lst}
jobs = {'demo-hp':'prune-demo-hp','demo-felhom':'prune-demo-felhom'}
print("box | job | snapshots today | keep-last 2 keeps / removes | keep-weekly 2 keeps / removes")
for ns in sorted(snaps):
    a = compute(snaps[ns], [(2, sel_last)]); b = compute(snaps[ns], [(2, sel_week)])
    f = lambda m,k: ', '.join(f"{t[:10]} (w{sel_week(t)[5:]})" for t,v in m.items() if v==k) or 'none'
    print(f"{ns} | {jobs.get(ns,'NO JOB')} | {len(snaps[ns])} | {f(a,'keep')} / {f(a,'remove')} | {f(b,'keep')} / {f(b,'remove')}")