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Copy pathprofile_spawn.py
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executable file
·662 lines (590 loc) · 23.9 KB
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#!/usr/bin/env python3
"""Benchmark + profile the time and resource utilization of a jcode spawn.
A jcode "spawn" is the full cold-launch path of the interactive client:
process start -> tokio runtime -> startup setup -> arg parse
-> (cold) spawn the background server daemon -> connect TUI client.
This profiler complements scripts/bench_startup.py (which only measures time)
by also attributing RESOURCE UTILIZATION to each spawned process:
* wall-clock time (and the built-in startup-profile phase breakdown)
* peak / final RSS, anon vs file-backed RSS, PSS, swap
* CPU time (user + system) and average %CPU over the spawn window
* thread count high-water mark
* open file descriptors high-water mark
* minor / major page faults
* voluntary / involuntary context switches
* block I/O bytes read/written
Everything runs under an isolated JCODE_HOME / JCODE_RUNTIME_DIR / JCODE_SOCKET
so it never touches the user's real shared server, logs, sessions, or creds.
Two spawn shapes are profiled:
server : the background daemon (`jcode serve`) on a private socket. This is
the heavy half of a cold spawn and owns the long-lived footprint.
client : the cold interactive client launched in a PTY, which itself spawns
the server when none is running. We sample BOTH the client and the
daemon it spawns.
Usage:
python3 scripts/profile_spawn.py [BINARY] [--runs N] [--json out.json]
"""
from __future__ import annotations
import argparse
import json
import os
import re
import select
import shutil
import socket
import statistics
import subprocess
import sys
import tempfile
import time
from dataclasses import dataclass, field, asdict
from pathlib import Path
try:
import pty
import termios
import struct
import fcntl
_HAVE_PTY = True
except ImportError: # pragma: no cover - non-unix
_HAVE_PTY = False
CLK_TCK = os.sysconf("SC_CLK_TCK") if hasattr(os, "sysconf") else 100
PAGE_SIZE = os.sysconf("SC_PAGE_SIZE") if hasattr(os, "sysconf") else 4096
PROFILE_TOTAL_RE = re.compile(r"Startup Profile \(([0-9.]+)ms total\)")
PROFILE_LINE_RE = re.compile(
r"\[INFO\]\s+([0-9.]+)ms\s+([0-9.]+)ms\s+[0-9.]+%\s+([a-zA-Z0-9_]+)"
)
REMOTE_HISTORY_RE = re.compile(r"remote bootstrap: history after ([0-9.]+)ms")
# --------------------------------------------------------------------------- #
# /proc sampling
# --------------------------------------------------------------------------- #
def _read(path: str) -> str | None:
try:
with open(path, "r") as fh:
return fh.read()
except OSError:
return None
def _status_kib(status: str, key: str) -> int | None:
m = re.search(rf"^{re.escape(key)}\s+(\d+)\s*kB", status, re.MULTILINE)
return int(m.group(1)) * 1024 if m else None
@dataclass
class ProcSample:
"""One point-in-time sample of a process from /proc/<pid>."""
rss_bytes: int | None = None
rss_anon_bytes: int | None = None
rss_file_bytes: int | None = None
peak_rss_bytes: int | None = None
pss_bytes: int | None = None
swap_bytes: int | None = None
threads: int | None = None
fds: int | None = None
# cumulative counters
utime_s: float | None = None
stime_s: float | None = None
minflt: int | None = None
majflt: int | None = None
vol_ctxt: int | None = None
nonvol_ctxt: int | None = None
read_bytes: int | None = None
write_bytes: int | None = None
def sample_proc(pid: int) -> ProcSample | None:
status = _read(f"/proc/{pid}/status")
stat = _read(f"/proc/{pid}/stat")
if status is None or stat is None:
return None
s = ProcSample()
s.rss_bytes = _status_kib(status, "VmRSS:")
s.rss_anon_bytes = _status_kib(status, "RssAnon:")
s.rss_file_bytes = _status_kib(status, "RssFile:")
s.peak_rss_bytes = _status_kib(status, "VmHWM:")
s.swap_bytes = _status_kib(status, "VmSwap:")
tm = re.search(r"^Threads:\s+(\d+)", status, re.MULTILINE)
s.threads = int(tm.group(1)) if tm else None
rollup = _read(f"/proc/{pid}/smaps_rollup")
if rollup:
pm = re.search(r"^Pss:\s+(\d+)\s*kB", rollup, re.MULTILINE)
s.pss_bytes = int(pm.group(1)) * 1024 if pm else None
# /proc/<pid>/stat fields after "comm) ": index 0 == field 3 (state),
# so field N maps to fields[N-3]. minflt=10 majflt=12 utime=14 stime=15.
rparen = stat.rfind(")")
if rparen != -1:
fields = stat[rparen + 2 :].split()
try:
s.minflt = int(fields[10 - 3]) # field 10
s.majflt = int(fields[12 - 3]) # field 12
s.utime_s = int(fields[14 - 3]) / CLK_TCK # field 14
s.stime_s = int(fields[15 - 3]) / CLK_TCK # field 15
except (IndexError, ValueError):
pass
sched = status
vm = re.search(r"^voluntary_ctxt_switches:\s+(\d+)", sched, re.MULTILINE)
nm = re.search(r"^nonvoluntary_ctxt_switches:\s+(\d+)", sched, re.MULTILINE)
s.vol_ctxt = int(vm.group(1)) if vm else None
s.nonvol_ctxt = int(nm.group(1)) if nm else None
io = _read(f"/proc/{pid}/io")
if io:
rm = re.search(r"^read_bytes:\s+(\d+)", io, re.MULTILINE)
wm = re.search(r"^write_bytes:\s+(\d+)", io, re.MULTILINE)
s.read_bytes = int(rm.group(1)) if rm else None
s.write_bytes = int(wm.group(1)) if wm else None
try:
s.fds = len(os.listdir(f"/proc/{pid}/fd"))
except OSError:
s.fds = None
return s
@dataclass
class ResourceProfile:
"""Aggregated resource utilization for one spawned process over its window."""
wall_ms: float = 0.0
peak_rss_bytes: int = 0
final_rss_bytes: int = 0
peak_rss_anon_bytes: int = 0
peak_pss_bytes: int = 0
peak_swap_bytes: int = 0
peak_threads: int = 0
peak_fds: int = 0
cpu_user_s: float = 0.0
cpu_sys_s: float = 0.0
cpu_total_s: float = 0.0
cpu_pct: float = 0.0
minflt: int = 0
majflt: int = 0
vol_ctxt: int = 0
nonvol_ctxt: int = 0
io_read_bytes: int = 0
io_write_bytes: int = 0
samples: int = 0
class ProcessMonitor:
"""High-frequency sampler that tracks one pid's resource high-water marks."""
def __init__(self, pid: int):
self.pid = pid
self.first: ProcSample | None = None
self.last: ProcSample | None = None
self.peak_rss = 0
self.peak_rss_anon = 0
self.peak_pss = 0
self.peak_swap = 0
self.peak_threads = 0
self.peak_fds = 0
self.start = time.perf_counter()
self.end = self.start
self.n = 0
def poll(self) -> bool:
s = sample_proc(self.pid)
if s is None:
return False
self.n += 1
self.end = time.perf_counter()
if self.first is None:
self.first = s
self.last = s
if s.rss_bytes:
self.peak_rss = max(self.peak_rss, s.rss_bytes)
if s.peak_rss_bytes:
self.peak_rss = max(self.peak_rss, s.peak_rss_bytes)
if s.rss_anon_bytes:
self.peak_rss_anon = max(self.peak_rss_anon, s.rss_anon_bytes)
if s.pss_bytes:
self.peak_pss = max(self.peak_pss, s.pss_bytes)
if s.swap_bytes:
self.peak_swap = max(self.peak_swap, s.swap_bytes)
if s.threads:
self.peak_threads = max(self.peak_threads, s.threads)
if s.fds:
self.peak_fds = max(self.peak_fds, s.fds)
return True
def finalize(self) -> ResourceProfile:
p = ResourceProfile()
p.wall_ms = (self.end - self.start) * 1000.0
p.samples = self.n
p.peak_rss_bytes = self.peak_rss
p.peak_rss_anon_bytes = self.peak_rss_anon
p.peak_pss_bytes = self.peak_pss
p.peak_swap_bytes = self.peak_swap
p.peak_threads = self.peak_threads
p.peak_fds = self.peak_fds
if self.last:
p.final_rss_bytes = self.last.rss_bytes or 0
l = self.last
if l:
# Cumulative counters in /proc are totals since process birth. We
# monitor from spawn, so the final absolute value IS the total
# resource cost of the spawn (more robust than last-first, which
# would miss work done before the first sample landed).
if l.utime_s is not None:
p.cpu_user_s = l.utime_s
if l.stime_s is not None:
p.cpu_sys_s = l.stime_s
p.cpu_total_s = p.cpu_user_s + p.cpu_sys_s
if p.wall_ms > 0:
p.cpu_pct = 100.0 * p.cpu_total_s / (p.wall_ms / 1000.0)
if l.minflt is not None:
p.minflt = l.minflt
if l.majflt is not None:
p.majflt = l.majflt
if l.vol_ctxt is not None:
p.vol_ctxt = l.vol_ctxt
if l.nonvol_ctxt is not None:
p.nonvol_ctxt = l.nonvol_ctxt
if l.read_bytes is not None:
p.io_read_bytes = l.read_bytes
if l.write_bytes is not None:
p.io_write_bytes = l.write_bytes
return p
# --------------------------------------------------------------------------- #
# Environment isolation
# --------------------------------------------------------------------------- #
def isolated_env(root: str) -> dict[str, str]:
env = os.environ.copy()
env["JCODE_HOME"] = os.path.join(root, "home")
env["JCODE_RUNTIME_DIR"] = os.path.join(root, "run")
env["JCODE_SOCKET"] = os.path.join(env["JCODE_RUNTIME_DIR"], "jcode.sock")
env["JCODE_NO_TELEMETRY"] = "1"
os.makedirs(env["JCODE_HOME"], exist_ok=True)
os.makedirs(env["JCODE_RUNTIME_DIR"], exist_ok=True)
return env
def socket_connectable(path: str) -> bool:
if not os.path.exists(path):
return False
try:
s = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
s.connect(path)
s.close()
return True
except OSError:
return False
def find_child_server(env: dict[str, str], exclude: set[int]) -> int | None:
"""Find the spawned `serve` daemon bound to our private socket."""
try:
pids = [int(p) for p in os.listdir("/proc") if p.isdigit()]
except OSError:
return None
for pid in pids:
if pid in exclude:
continue
cmd = _read(f"/proc/{pid}/cmdline")
if not cmd:
continue
argv = cmd.split("\0")
if "serve" in argv and any(env["JCODE_SOCKET"] in a or "serve" == a for a in argv):
# confirm it is our isolated daemon by socket env or socket arg
envblob = _read(f"/proc/{pid}/environ") or ""
if env["JCODE_SOCKET"] in envblob or env["JCODE_SOCKET"] in cmd:
return pid
return None
# --------------------------------------------------------------------------- #
# Startup profile parsing
# --------------------------------------------------------------------------- #
@dataclass
class StartupProfile:
total_ms: float = 0.0
deltas_ms: dict[str, float] = field(default_factory=dict)
remote_history_ms: float | None = None
def parse_startup_profile(log_path: Path) -> StartupProfile | None:
if not log_path.exists():
return None
lines = log_path.read_text(errors="replace").splitlines()
last_block: list[str] = []
remote_history_ms = None
for i, line in enumerate(lines):
if "=== Startup Profile (" in line:
last_block = lines[i : i + 40]
m = REMOTE_HISTORY_RE.search(line)
if m:
remote_history_ms = float(m.group(1))
if not last_block:
return None
prof = StartupProfile(remote_history_ms=remote_history_ms)
for line in last_block:
tm = PROFILE_TOTAL_RE.search(line)
if tm:
prof.total_ms = float(tm.group(1))
pm = PROFILE_LINE_RE.search(line)
if pm:
_from, delta, name = pm.groups()
prof.deltas_ms[name] = float(delta)
return prof
# --------------------------------------------------------------------------- #
# Server spawn profiling
# --------------------------------------------------------------------------- #
def profile_server_spawn(binary: str, sample_interval_s: float) -> dict | None:
root = tempfile.mkdtemp(prefix="jcode-spawn-server-")
env = isolated_env(root)
sock = env["JCODE_SOCKET"]
proc = None
try:
t0 = time.perf_counter()
proc = subprocess.Popen(
[binary, "--no-update", "serve"],
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
env=env,
)
mon = ProcessMonitor(proc.pid)
ready_ms = None
deadline = t0 + 8.0
while time.perf_counter() < deadline:
if not mon.poll():
break
if ready_ms is None and socket_connectable(sock):
ready_ms = (time.perf_counter() - t0) * 1000.0
# keep sampling briefly to capture steady-state footprint
settle_until = time.perf_counter() + 0.4
while time.perf_counter() < settle_until:
mon.poll()
time.sleep(sample_interval_s)
break
time.sleep(sample_interval_s)
res = mon.finalize()
out = asdict(res)
out["ready_ms"] = ready_ms
return out
finally:
if proc is not None:
proc.terminate()
try:
proc.wait(timeout=2)
except subprocess.TimeoutExpired:
proc.kill()
proc.wait(timeout=2)
shutil.rmtree(root, ignore_errors=True)
# --------------------------------------------------------------------------- #
# Cold client spawn profiling (PTY) - samples both client and its server child
# --------------------------------------------------------------------------- #
def profile_client_spawn(binary: str, sample_interval_s: float, hold_s: float) -> dict | None:
if not _HAVE_PTY:
return None
root = tempfile.mkdtemp(prefix="jcode-spawn-client-")
env = isolated_env(root)
log_path = Path(env["JCODE_HOME"]) / "logs" / f"jcode-{time.strftime('%Y-%m-%d')}.log"
pid = None
master_fd = None
try:
pid, master_fd = pty.fork()
if pid == 0: # child
try:
# 120x40 window
winsize = struct.pack("HHHH", 40, 120, 0, 0)
fcntl.ioctl(0, termios.TIOCSWINSZ, winsize)
except OSError:
pass
os.execve(
binary,
[binary, "--no-update", "--socket", env["JCODE_SOCKET"]],
env,
)
os._exit(127)
# parent: monitor the client and (once spawned) the server daemon
t0 = time.perf_counter()
client_mon = ProcessMonitor(pid)
server_mon = None
server_pid = None
server_ready_ms = None
deadline = t0 + hold_s
# drain pty output so the child does not block on a full pipe
while time.perf_counter() < deadline:
r, _, _ = select.select([master_fd], [], [], 0.0)
if r:
try:
os.read(master_fd, 65536)
except OSError:
pass
if not client_mon.poll():
break
if server_pid is None:
cand = find_child_server(env, exclude={pid, os.getpid()})
if cand is not None:
server_pid = cand
server_mon = ProcessMonitor(server_pid)
if server_mon is not None:
server_mon.poll()
if server_ready_ms is None and socket_connectable(env["JCODE_SOCKET"]):
server_ready_ms = (time.perf_counter() - t0) * 1000.0
time.sleep(sample_interval_s)
client_res = asdict(client_mon.finalize())
server_res = asdict(server_mon.finalize()) if server_mon else None
profile = parse_startup_profile(log_path)
return {
"client": client_res,
"server": server_res,
"server_ready_ms": server_ready_ms,
"startup_profile": asdict(profile) if profile else None,
}
finally:
if pid:
try:
os.kill(pid, 15)
except OSError:
pass
time.sleep(0.05)
try:
os.kill(pid, 9)
except OSError:
pass
try:
os.waitpid(pid, 0)
except OSError:
pass
if master_fd is not None:
try:
os.close(master_fd)
except OSError:
pass
shutil.rmtree(root, ignore_errors=True)
# --------------------------------------------------------------------------- #
# Aggregation / reporting
# --------------------------------------------------------------------------- #
def mb(n) -> str:
if not n:
return " -"
return f"{n / (1024 * 1024):6.1f}"
def agg(values: list[float]) -> dict:
vals = [v for v in values if v is not None]
if not vals:
return {"min": None, "median": None, "max": None, "mean": None}
return {
"min": min(vals),
"median": statistics.median(vals),
"max": max(vals),
"mean": statistics.mean(vals),
}
def median_field(runs: list[dict], key: str) -> float | None:
vals = [r[key] for r in runs if r and r.get(key) is not None]
return statistics.median(vals) if vals else None
def print_resource_block(title: str, runs: list[dict]) -> None:
runs = [r for r in runs if r]
if not runs:
print(f"\n{title}: no data")
return
print(f"\n{title} (median of {len(runs)} runs)")
rows = [
("Peak RSS (MB)", "peak_rss_bytes", lambda v: f"{v/1048576:.1f}"),
("Final RSS (MB)", "final_rss_bytes", lambda v: f"{v/1048576:.1f}"),
("Peak anon RSS (MB)", "peak_rss_anon_bytes", lambda v: f"{v/1048576:.1f}"),
("Peak PSS (MB)", "peak_pss_bytes", lambda v: f"{v/1048576:.1f}"),
("Peak threads", "peak_threads", lambda v: f"{v:.0f}"),
("Peak open FDs", "peak_fds", lambda v: f"{v:.0f}"),
("CPU user (ms)", "cpu_user_s", lambda v: f"{v*1000:.1f}"),
("CPU sys (ms)", "cpu_sys_s", lambda v: f"{v*1000:.1f}"),
("CPU total (ms)", "cpu_total_s", lambda v: f"{v*1000:.1f}"),
("Avg CPU (%)", "cpu_pct", lambda v: f"{v:.0f}"),
("Minor faults", "minflt", lambda v: f"{v:.0f}"),
("Major faults", "majflt", lambda v: f"{v:.0f}"),
("Vol ctx switch", "vol_ctxt", lambda v: f"{v:.0f}"),
("Invol ctx switch", "nonvol_ctxt", lambda v: f"{v:.0f}"),
("Block read (KB)", "io_read_bytes", lambda v: f"{v/1024:.0f}"),
("Block write (KB)", "io_write_bytes", lambda v: f"{v/1024:.0f}"),
]
for label, key, fmt in rows:
med = median_field(runs, key)
if med is None:
continue
print(f" {label:<20} {fmt(med):>10}")
def main() -> int:
ap = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
default_bin = os.environ.get("JCODE_BENCH_BIN") or shutil.which("jcode") or "./target/release/jcode"
ap.add_argument("binary", nargs="?", default=default_bin)
ap.add_argument("--runs", type=int, default=5)
ap.add_argument("--sample-interval-ms", type=float, default=2.0)
ap.add_argument("--client-hold-s", type=float, default=2.5,
help="how long to keep the cold client alive while sampling")
ap.add_argument("--json", type=str, default=None, help="write full results to a JSON file")
ap.add_argument("--skip-client", action="store_true")
ap.add_argument("--skip-server", action="store_true")
args = ap.parse_args()
binary = args.binary
if not os.path.exists(binary):
resolved = shutil.which(binary)
if resolved:
binary = resolved
else:
print(f"Binary not found: {binary}", file=sys.stderr)
return 1
binary = os.path.realpath(binary)
size = os.path.getsize(binary)
print("=" * 64)
print("jcode spawn profile: time + resource utilization")
print("=" * 64)
print(f"Binary : {binary}")
print(f"Size : {size/1048576:.1f} MB")
print(f"Runs : {args.runs} sample interval: {args.sample_interval_ms} ms")
print(f"Host : {os.cpu_count()} CPUs, isolated JCODE_HOME per run")
interval = args.sample_interval_ms / 1000.0
results: dict = {"binary": binary, "binary_size_bytes": size, "runs": args.runs}
# warm the page cache / binary load
subprocess.run([binary, "--version"], capture_output=True, check=False)
if not args.skip_server:
print(f"\n[1/2] Profiling server daemon spawn ({args.runs} runs)...")
server_runs = []
ready = []
for i in range(args.runs):
r = profile_server_spawn(binary, interval)
if r:
server_runs.append(r)
if r.get("ready_ms"):
ready.append(r["ready_ms"])
print(f" run {i+1}: ready={r.get('ready_ms', 0):.1f}ms "
f"peak_rss={mb(r.get('peak_rss_bytes')).strip()}MB "
f"threads={r.get('peak_threads')} fds={r.get('peak_fds')}")
results["server"] = server_runs
if ready:
print(f"\n Server ready (socket connectable): "
f"min={min(ready):.1f} median={statistics.median(ready):.1f} "
f"max={max(ready):.1f} ms")
print_resource_block("Server daemon resource footprint", server_runs)
if not args.skip_client and _HAVE_PTY:
print(f"\n[2/2] Profiling cold client spawn in PTY ({args.runs} runs)...")
client_runs = []
spawned_server_runs = []
totals = []
ready = []
for i in range(args.runs):
r = profile_client_spawn(binary, interval, args.client_hold_s)
if not r:
continue
client_runs.append(r["client"])
if r.get("server"):
spawned_server_runs.append(r["server"])
sp = r.get("startup_profile")
if sp and sp.get("total_ms"):
totals.append(sp["total_ms"])
if r.get("server_ready_ms"):
ready.append(r["server_ready_ms"])
results.setdefault("client_full", []).append(r)
print(f" run {i+1}: startup_profile_total={sp['total_ms'] if sp else 0:.1f}ms "
f"client_peak_rss={mb(r['client'].get('peak_rss_bytes')).strip()}MB "
f"server_ready={r.get('server_ready_ms', 0):.1f}ms")
if totals:
print(f"\n Startup-profile total (in-process marks): "
f"min={min(totals):.1f} median={statistics.median(totals):.1f} "
f"max={max(totals):.1f} ms")
if ready:
print(f" Server ready from client launch: "
f"min={min(ready):.1f} median={statistics.median(ready):.1f} "
f"max={max(ready):.1f} ms")
# phase breakdown
if client_runs:
full = results.get("client_full", [])
phase_keys = [
"args_parse", "selfdev_git_hash", "tui_client_enter",
"tui_terminal_init", "server_spawn_start", "server_ready",
"app_new_for_remote",
]
print("\n Startup phase breakdown (median ms):")
for k in phase_keys:
vals = [
f["startup_profile"]["deltas_ms"].get(k)
for f in full
if f.get("startup_profile")
and f["startup_profile"]["deltas_ms"].get(k) is not None
]
if vals:
print(f" {k:<22} {statistics.median(vals):7.2f}")
print_resource_block("Cold client process resource footprint", client_runs)
if spawned_server_runs:
print_resource_block("Server daemon (spawned by client) footprint", spawned_server_runs)
if args.json:
Path(args.json).write_text(json.dumps(results, indent=2))
print(f"\nWrote full results to {args.json}")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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