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#!/bin/bash
#
# Close the least-active Lightning channels that have recoverable local balance.
#
# Usage:
# ./close-dead-channels.sh # dry-run (default)
# ./close-dead-channels.sh --execute # actually close channels
#
# Options (set via env vars):
# FUNDS_DIR - path to balance snapshots (default: ~/coinos-server/data/funds)
# COUNT - number of channels to close (default: 10)
# MIN_LOCAL_PCT - minimum local balance % to consider (default: 20)
# MONTHS - how many months of history to analyze (default: 3)
# CLOSE_TIMEOUT - seconds to wait for cooperative close (default: 1)
# EXCLUDE - comma-separated SCIDs or alias substrings to skip
set -euo pipefail
FUNDS_DIR="${FUNDS_DIR:-$HOME/coinos-server/data/funds}"
COUNT="${COUNT:-10}"
MIN_LOCAL_PCT="${MIN_LOCAL_PCT:-20}"
MONTHS="${MONTHS:-3}"
CLOSE_TIMEOUT="${CLOSE_TIMEOUT:-1}"
EXCLUDE="${EXCLUDE:-}"
EXECUTE=false
if [[ "${1:-}" == "--execute" ]]; then
EXECUTE=true
fi
python3 - "$FUNDS_DIR" "$COUNT" "$MIN_LOCAL_PCT" "$MONTHS" "$EXCLUDE" << 'PYEOF'
import json, subprocess, os, re, sys
from datetime import datetime, timedelta
from collections import defaultdict
FUNDS_DIR = sys.argv[1]
COUNT = int(sys.argv[2])
MIN_LOCAL_PCT = float(sys.argv[3])
MONTHS = int(sys.argv[4])
EXCLUDE = [x.strip().lower() for x in sys.argv[5].split(",") if x.strip()]
def parse_date(fn):
fn = fn.replace('balances_', '')
m = re.match(r'(\d{2})-(\d{2})-(\d{2})-(\d{2}):(\d{2}):(\d{2})\.json', fn)
if not m:
return None
month, day, year, hour, minute, sec = [int(x) for x in m.groups()]
try:
return datetime(year + 2000, month, day, hour, minute, sec)
except:
return None
def fmt(s):
if abs(s) >= 1_000_000:
return f"{s/1_000_000:.2f}M"
elif abs(s) >= 1_000:
return f"{s/1_000:.1f}k"
return str(s)
# Sample balance files every ~4 hours over the lookback period
files = sorted(os.listdir(FUNDS_DIR))
cutoff = datetime.now() - timedelta(days=MONTHS * 30)
recent = [(d, f) for f in files if (d := parse_date(f)) and d >= cutoff]
recent.sort()
sampled = []
last = None
for d, f in recent:
if last is None or (d - last).total_seconds() >= 4 * 3600:
sampled.append((d, f))
last = d
print(f"Analyzed {len(sampled)} snapshots over {MONTHS} months\n")
# Build movement history per channel
channel_history = defaultdict(list)
for d, f in sampled:
try:
with open(os.path.join(FUNDS_DIR, f)) as fh:
data = json.load(fh)
except:
continue
for ch in data.get("channels", []):
scid = ch.get("short_channel_id", "")
if scid:
channel_history[scid].append(
(d, ch["our_amount_msat"], ch["amount_msat"], ch.get("state", ""))
)
# Get currently open channels
result = subprocess.run(
["docker", "exec", "cl", "lightning-cli", "listpeerchannels"],
capture_output=True, text=True, timeout=15,
)
peerchans = json.loads(result.stdout)
# Resolve aliases
aliases = {}
def get_alias(peer_id):
if peer_id in aliases:
return aliases[peer_id]
try:
r = subprocess.run(
["docker", "exec", "cl", "lightning-cli", "listnodes", peer_id],
capture_output=True, text=True, timeout=10,
)
nd = json.loads(r.stdout)
a = nd["nodes"][0].get("alias", peer_id[:20] + "...") if nd.get("nodes") else peer_id[:20] + "..."
except:
a = peer_id[:20] + "..."
aliases[peer_id] = a
return a
# Score each open channel
candidates = []
for ch in peerchans.get("channels", []):
scid = ch.get("short_channel_id", "")
state = ch.get("state", "")
if not scid or state != "CHANNELD_NORMAL":
continue
capacity = ch.get("total_msat", 0) // 1000
local = ch.get("to_us_msat", 0) // 1000
if capacity == 0:
continue
local_pct = 100 * local / capacity
if local_pct < MIN_LOCAL_PCT:
continue
history = channel_history.get(scid, [])
normal = [(d, o, t) for d, o, t, s in history if s == "CHANNELD_NORMAL"]
movement = 0
if len(normal) >= 2:
for i in range(1, len(normal)):
movement += abs(normal[i][1] - normal[i - 1][1])
candidates.append({
"scid": scid,
"peer_id": ch.get("peer_id", ""),
"capacity": capacity,
"local": local,
"remote": capacity - local,
"local_pct": local_pct,
"movement": movement // 1000,
})
candidates.sort(key=lambda x: x["movement"])
# Apply exclusions and take bottom N
selected = []
for c in candidates:
if len(selected) >= COUNT:
break
alias = get_alias(c["peer_id"])
skip = False
for exc in EXCLUDE:
if exc in c["scid"].lower() or exc in alias.lower():
skip = True
break
if skip:
print(f" SKIP (excluded): {c['scid']} {alias}")
continue
c["alias"] = alias
selected.append(c)
# Print results
print(f"{'SCID':<18} {'Peer':<30} {'Capacity':>10} {'Local':>10} {'Remote':>10} {'Local%':>7} {'3mo Vol':>10}")
print("-" * 105)
for c in selected:
print(
f"{c['scid']:<18} {c['alias']:<30} {fmt(c['capacity']):>10} "
f"{fmt(c['local']):>10} {fmt(c['remote']):>10} {c['local_pct']:>6.1f}% "
f"{fmt(c['movement']):>10}"
)
total_local = sum(c["local"] for c in selected)
total_cap = sum(c["capacity"] for c in selected)
print(f"\nRecoverable local: {fmt(total_local)} sats | Capacity freed: {fmt(total_cap)} sats")
# Output SCIDs for the shell to close
scid_list = " ".join(c["scid"] for c in selected)
print(f"\nSCIDS={scid_list}")
PYEOF
# Parse SCIDs from python output
SCIDS=$(python3 - "$FUNDS_DIR" "$COUNT" "$MIN_LOCAL_PCT" "$MONTHS" "$EXCLUDE" << 'PYEOF' 2>/dev/null | tail -1
import json, subprocess, os, re, sys
from datetime import datetime, timedelta
from collections import defaultdict
FUNDS_DIR = sys.argv[1]
COUNT = int(sys.argv[2])
MIN_LOCAL_PCT = float(sys.argv[3])
MONTHS = int(sys.argv[4])
EXCLUDE = [x.strip().lower() for x in sys.argv[5].split(",") if x.strip()]
def parse_date(fn):
fn = fn.replace('balances_', '')
m = re.match(r'(\d{2})-(\d{2})-(\d{2})-(\d{2}):(\d{2}):(\d{2})\.json', fn)
if not m: return None
mo, d, y, h, mi, s = [int(x) for x in m.groups()]
try: return datetime(y+2000, mo, d, h, mi, s)
except: return None
files = sorted(os.listdir(FUNDS_DIR))
cutoff = datetime.now() - timedelta(days=MONTHS*30)
recent = [(d, f) for f in files if (d := parse_date(f)) and d >= cutoff]
recent.sort()
sampled, last = [], None
for d, f in recent:
if last is None or (d - last).total_seconds() >= 4*3600:
sampled.append((d, f)); last = d
ch_hist = defaultdict(list)
for d, f in sampled:
try:
with open(os.path.join(FUNDS_DIR, f)) as fh: data = json.load(fh)
except: continue
for ch in data.get("channels", []):
scid = ch.get("short_channel_id", "")
if scid: ch_hist[scid].append((d, ch["our_amount_msat"], ch["amount_msat"], ch.get("state","")))
r = subprocess.run(["docker","exec","cl","lightning-cli","listpeerchannels"], capture_output=True, text=True, timeout=15)
peerchans = json.loads(r.stdout)
aliases = {}
def get_alias(pid):
if pid in aliases: return aliases[pid]
try:
r2 = subprocess.run(["docker","exec","cl","lightning-cli","listnodes",pid], capture_output=True, text=True, timeout=10)
nd = json.loads(r2.stdout)
a = nd["nodes"][0].get("alias", pid[:20]) if nd.get("nodes") else pid[:20]
except: a = pid[:20]
aliases[pid] = a; return a
cands = []
for ch in peerchans.get("channels", []):
scid = ch.get("short_channel_id",""); state = ch.get("state","")
if not scid or state != "CHANNELD_NORMAL": continue
cap = ch.get("total_msat",0)//1000; loc = ch.get("to_us_msat",0)//1000
if cap == 0: continue
pct = 100*loc/cap
if pct < MIN_LOCAL_PCT: continue
hist = ch_hist.get(scid, [])
norm = [(d,o,t) for d,o,t,s in hist if s=="CHANNELD_NORMAL"]
mv = sum(abs(norm[i][1]-norm[i-1][1]) for i in range(1,len(norm)))//1000 if len(norm)>=2 else 0
cands.append({"scid":scid,"peer_id":ch.get("peer_id",""),"movement":mv})
cands.sort(key=lambda x: x["movement"])
sel = []
for c in cands:
if len(sel) >= COUNT: break
alias = get_alias(c["peer_id"])
skip = any(e in c["scid"].lower() or e in alias.lower() for e in EXCLUDE)
if not skip: sel.append(c["scid"])
print(" ".join(sel))
PYEOF
)
if [[ "$EXECUTE" != "true" ]]; then
echo ""
echo "DRY RUN - to actually close, run:"
echo " $0 --execute"
exit 0
fi
echo ""
echo "Closing channels..."
for scid in $SCIDS; do
echo " Closing $scid ..."
docker exec cl lightning-cli close "$scid" "$CLOSE_TIMEOUT" 2>&1 | head -5
echo ""
done
echo "Done."
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