Files
fips/testing/chaos/sim/runner.py
T
Johnathan Corgan 5053cf673d Add connect/disconnect control commands and maelstrom chaos scenario
Add runtime peer management to the FIPS daemon via control socket
commands, and a new chaos simulation scenario that exercises dynamic
topology mutation with ephemeral node identities.

Daemon (connect/disconnect commands):
- Extend control socket Request with optional params field
- Add commands.rs module for mutating command dispatch, separate from
  read-only queries
- Add api_connect() on Node: builds ephemeral PeerConfig (no auto-
  reconnect), pre-seeds identity cache, reuses initiate_peer_connection
- Add api_disconnect() on Node: calls remove_active_peer(), clears
  retry_pending to suppress reconnection
- Route non-show_* commands to async command dispatch in rx_loop

fipsctl CLI:
- Add Connect and Disconnect subcommands accepting npub or hostname
- Resolve hostnames from /etc/fips/hosts before sending to daemon
- Refactor socket I/O into reusable send_request helper

Chaos simulator (maelstrom scenario):
- Add PeerChurnManager: periodically disconnects a random active link
  and connects a random unconnected node pair via control socket
- Add send_command() to control.py using base64-encoded JSON payloads
  to avoid shell quoting issues in docker exec
- Add PeerChurnConfig to scenario with interval and ephemeral_fraction
- Ephemeral identity support: nodes configured without nsec generate
  fresh keypairs on restart; simulator queries show_status for new
  npub and updates its cache via on_node_restart callback
- Add maelstrom.yaml: all chaos dimensions (netem, link flaps, node
  churn, peer topology churn, traffic) with 50% ephemeral identity
2026-03-20 05:44:31 +00:00

415 lines
16 KiB
Python

"""Main simulation orchestration."""
from __future__ import annotations
import json
import logging
import os
import random
import signal
import subprocess
import sys
import time
from .compose import generate_compose
from .config_gen import write_configs
from .control import snapshot_all_congestion, snapshot_all_mmp, snapshot_all_trees
from .docker_exec import docker_compose
from .links import LinkManager
from .logs import AnalysisResult, analyze_logs, collect_logs, write_sim_metadata
from .netem import NetemManager
from .nodes import NodeManager
from .peer_churn import PeerChurnManager
from .scenario import Scenario
from .topology import SimTopology, generate_topology
from .traffic import TrafficManager
from .veth import VethManager
log = logging.getLogger(__name__)
class SimRunner:
def __init__(self, scenario: Scenario):
self.scenario = scenario
self.rng = random.Random(scenario.seed)
self.topology: SimTopology | None = None
self.compose_file: str | None = None
self.output_dir: str = scenario.logging.output_dir
self._interrupted = False
# Shared set of currently-down node IDs (updated by NodeManager,
# read by NetemManager, LinkManager, TrafficManager)
self._down_nodes: set[str] = set()
# Managers (initialized during setup)
self.veth_mgr: VethManager | None = None
self.netem_mgr: NetemManager | None = None
self.link_mgr: LinkManager | None = None
self.traffic_mgr: TrafficManager | None = None
self.node_mgr: NodeManager | None = None
self.peer_churn_mgr: PeerChurnManager | None = None
def run(self) -> AnalysisResult | None:
"""Run the full simulation lifecycle."""
signal.signal(signal.SIGINT, self._handle_sigint)
signal.signal(signal.SIGTERM, self._handle_sigint)
result = None
try:
self._setup()
self._warmup()
self._simulation_loop()
except Exception:
log.exception("Simulation failed")
finally:
result = self._teardown()
return result
def _handle_sigint(self, signum, frame):
if self._interrupted:
log.warning("Force exit")
sys.exit(1)
log.info("Interrupt received, shutting down gracefully...")
self._interrupted = True
def _setup(self):
"""Generate topology, configs, compose file. Start containers."""
s = self.scenario
mesh_name = f"sim-{s.name}-{s.seed}"
# Set up runner log file so all sim orchestration output is captured
# alongside the per-node FIPS logs for post-run analysis.
os.makedirs(self.output_dir, exist_ok=True)
runner_log_path = os.path.join(self.output_dir, "runner.log")
fh = logging.FileHandler(runner_log_path, mode="w")
fh.setLevel(logging.DEBUG)
fh.setFormatter(logging.Formatter(
"%(asctime)s %(levelname)-5s %(name)s: %(message)s",
datefmt="%H:%M:%S",
))
logging.getLogger().addHandler(fh)
log.info("Runner log: %s", runner_log_path)
# 1. Generate topology
log.info(
"Generating %d-node %s topology (seed=%d)...",
s.topology.num_nodes,
s.topology.algorithm,
s.seed,
)
self.topology = generate_topology(s.topology, self.rng, mesh_name)
log.info(
"Topology: %d nodes, %d edges",
len(self.topology.nodes),
len(self.topology.edges),
)
# Log adjacency summary
for nid in sorted(self.topology.nodes):
peers = sorted(self.topology.nodes[nid].peers)
log.info(" %s: peers=%s", nid, ",".join(peers))
# 2. Generate configs
docker_network_dir = os.path.join(os.path.dirname(__file__), "..")
config_dir = os.path.normpath(
os.path.join(docker_network_dir, "generated-configs", "sim")
)
# Select ephemeral identity nodes (if peer churn enabled)
self._ephemeral_nodes: set[str] = set()
if s.peer_churn.enabled and s.peer_churn.ephemeral_fraction > 0:
all_nodes = sorted(self.topology.nodes.keys())
count = int(len(all_nodes) * s.peer_churn.ephemeral_fraction)
self._ephemeral_nodes = set(self.rng.sample(all_nodes, count))
log.info(
"Ephemeral identity nodes (%d/%d): %s",
len(self._ephemeral_nodes),
len(all_nodes),
", ".join(sorted(self._ephemeral_nodes)),
)
write_configs(
self.topology, config_dir, self.scenario.fips_overrides,
ephemeral_nodes=self._ephemeral_nodes,
)
log.info("Wrote node configs to %s", config_dir)
# 3. Generate docker-compose.yml
self.compose_file = generate_compose(self.topology, self.scenario, config_dir)
log.info("Wrote %s", self.compose_file)
# 4. Build the test image once (avoids per-service build at scale)
log.info("Building Docker image...")
from .compose import FIPS_SIM_IMAGE
docker_dir = os.path.join(os.path.dirname(__file__), "..", "..", "docker")
subprocess.run(
["docker", "build", "-t", FIPS_SIM_IMAGE, docker_dir],
check=True,
)
# 5. Start containers
log.info("Starting %d containers...", len(self.topology.nodes))
docker_compose(self.compose_file, ["up", "-d"])
# 6. Set up veth pairs for Ethernet edges (before netem)
#
# The entrypoint script waits for configured Ethernet interfaces
# to appear before starting FIPS, so we just need to create the
# veth pairs promptly after containers are running.
if self.topology.has_ethernet():
self.veth_mgr = VethManager(self.topology)
log.info("Setting up Ethernet veth pairs...")
self.veth_mgr.setup_all()
# 7. Initialize managers
if s.netem.enabled:
bw = s.bandwidth if s.bandwidth.enabled else None
ig = s.ingress if s.ingress.enabled else None
self.netem_mgr = NetemManager(self.topology, s.netem, self.rng, bandwidth=bw, ingress=ig)
self.netem_mgr.down_nodes = self._down_nodes
log.info("Applying initial per-link netem...")
self.netem_mgr.setup_initial()
if s.link_flaps.enabled:
self.link_mgr = LinkManager(
self.topology, s.link_flaps, self.rng, netem_mgr=self.netem_mgr
)
if s.traffic.enabled:
self.traffic_mgr = TrafficManager(
self.topology, s.traffic, self.rng, down_nodes=self._down_nodes
)
if s.node_churn.enabled:
self.node_mgr = NodeManager(
self.topology, s.node_churn, self.rng,
netem_mgr=self.netem_mgr, down_nodes=self._down_nodes,
veth_mgr=self.veth_mgr,
on_node_restart=self._handle_node_restart,
)
if s.peer_churn.enabled:
self.peer_churn_mgr = PeerChurnManager(
self.topology, s.peer_churn, self.rng,
down_nodes=self._down_nodes,
ephemeral_nodes=self._ephemeral_nodes,
)
def _warmup(self):
"""Wait for mesh convergence."""
n = len(self.topology.nodes)
wait = max(10, n) # Heuristic: ~1s per node, minimum 10s
log.info("Waiting %ds for mesh convergence...", wait)
self._sleep(wait)
self._take_snapshot("warmup")
# Populate npub cache after convergence (nodes must be running)
if self.peer_churn_mgr:
self.peer_churn_mgr.refresh_all_npubs()
def _handle_node_restart(self, node_id: str):
"""Called after a node container is restarted.
For ephemeral identity nodes, waits briefly for the daemon to
start, then queries its new npub and updates the peer churn
manager's cache.
"""
if not self.peer_churn_mgr:
return
if node_id not in self.peer_churn_mgr.ephemeral_nodes:
return
# Brief delay for daemon startup before querying control socket
time.sleep(2)
new_npub = self.peer_churn_mgr.refresh_npub(node_id)
if new_npub:
log.info("Ephemeral node %s new identity: %s...%s", node_id, new_npub[:12], new_npub[-6:])
else:
log.warning("Failed to refresh npub for ephemeral node %s", node_id)
def _simulation_loop(self):
"""Main event loop driving stochastic behavior."""
start = time.time()
s = self.scenario
duration = s.duration_secs
log.info("Simulation running for %ds...", duration)
# Schedule first events
next_netem = self._schedule_next(start, s.netem.mutation.interval_secs) if self.netem_mgr else float("inf")
next_flap = self._schedule_next(start, s.link_flaps.interval_secs) if self.link_mgr else float("inf")
next_traffic = self._schedule_next(start, s.traffic.interval_secs) if self.traffic_mgr else float("inf")
next_churn = self._schedule_next(start, s.node_churn.interval_secs) if self.node_mgr else float("inf")
next_peer_churn = self._schedule_next(start, s.peer_churn.interval_secs) if self.peer_churn_mgr else float("inf")
while not self._interrupted:
now = time.time()
elapsed = now - start
if elapsed >= duration:
break
# Netem mutation
if self.netem_mgr and now >= next_netem:
self.netem_mgr.mutate()
next_netem = self._schedule_next(now, s.netem.mutation.interval_secs)
# Link flaps
if self.link_mgr:
if now >= next_flap:
self.link_mgr.maybe_flap()
next_flap = self._schedule_next(now, s.link_flaps.interval_secs)
self.link_mgr.restore_expired()
# Traffic generation
if self.traffic_mgr:
if now >= next_traffic:
self.traffic_mgr.maybe_spawn()
next_traffic = self._schedule_next(now, s.traffic.interval_secs)
self.traffic_mgr.cleanup_expired()
# Node churn
if self.node_mgr:
if now >= next_churn:
self.node_mgr.maybe_kill()
next_churn = self._schedule_next(now, s.node_churn.interval_secs)
self.node_mgr.restore_expired()
# Peer churn (topology mutation)
if self.peer_churn_mgr:
if now >= next_peer_churn:
self.peer_churn_mgr.maybe_churn()
next_peer_churn = self._schedule_next(now, s.peer_churn.interval_secs)
# Status line
down_links = self.link_mgr.down_count if self.link_mgr else 0
down_nodes = self.node_mgr.down_count if self.node_mgr else 0
active = self.traffic_mgr.active_count if self.traffic_mgr else 0
peer_churns = self.peer_churn_mgr.churn_count if self.peer_churn_mgr else 0
status_extra = f" peer_churns={peer_churns}" if self.peer_churn_mgr else ""
print(
f"\r [{elapsed:.0f}s/{duration}s] "
f"nodes={len(self.topology.nodes)} "
f"edges={len(self.topology.edges)} "
f"links_down={down_links} "
f"nodes_down={down_nodes} "
f"traffic={active}"
f"{status_extra} ",
end="",
flush=True,
)
self._sleep(1)
print() # Clear status line
def _teardown(self) -> AnalysisResult | None:
"""Stop dynamic elements, collect logs, analyze, stop containers."""
result = None
if self.topology and self.compose_file:
# Stop traffic
if self.traffic_mgr:
log.info("Stopping traffic sessions...")
self.traffic_mgr.stop_all()
# Restore links
if self.link_mgr:
log.info("Restoring downed links...")
self.link_mgr.restore_all()
# Restore stopped nodes (needed for snapshots and log collection)
if self.node_mgr:
log.info("Restoring stopped nodes...")
self.node_mgr.restore_all()
# Collect iperf3 throughput results before containers stop
if self.traffic_mgr:
iperf_results = self.traffic_mgr.collect_results()
if iperf_results:
iperf_path = os.path.join(self.output_dir, "iperf3-results.json")
with open(iperf_path, "w") as f:
json.dump(iperf_results, f, indent=2)
log.info("Saved %d iperf3 results to %s", len(iperf_results), iperf_path)
# Take final tree snapshot while nodes are still running
self._take_snapshot("final")
# Collect logs before stopping containers
container_names = [
self.topology.container_name(nid) for nid in sorted(self.topology.nodes)
]
log.info("Collecting logs from %d containers...", len(container_names))
logs = collect_logs(container_names, self.output_dir)
# Analyze
result = analyze_logs(logs)
analysis_path = os.path.join(self.output_dir, "analysis.txt")
with open(analysis_path, "w") as f:
f.write(result.summary())
print(result.summary())
# Write metadata
write_sim_metadata(
self.output_dir,
scenario_name=self.scenario.name,
seed=self.scenario.seed,
num_nodes=len(self.topology.nodes),
num_edges=len(self.topology.edges),
duration_secs=self.scenario.duration_secs,
topology=self.topology,
)
# Clean up veth pairs
if self.veth_mgr:
log.info("Cleaning up veth pairs...")
self.veth_mgr.teardown_all()
# Stop containers
log.info("Stopping containers...")
docker_compose(
self.compose_file,
["down"],
check=False,
)
return result
def _take_snapshot(self, label: str):
"""Query all nodes via control socket and save tree/MMP/congestion snapshots."""
if not self.topology:
return
log.info("Taking %s snapshot...", label)
tree_snap = snapshot_all_trees(self.topology)
mmp_snap = snapshot_all_mmp(self.topology)
congestion_snap = snapshot_all_congestion(self.topology)
tree_path = os.path.join(self.output_dir, f"tree-snapshot-{label}.json")
mmp_path = os.path.join(self.output_dir, f"mmp-snapshot-{label}.json")
congestion_path = os.path.join(self.output_dir, f"congestion-snapshot-{label}.json")
os.makedirs(self.output_dir, exist_ok=True)
with open(tree_path, "w") as f:
json.dump(tree_snap, f, indent=2)
with open(mmp_path, "w") as f:
json.dump(mmp_snap, f, indent=2)
with open(congestion_path, "w") as f:
json.dump(congestion_snap, f, indent=2)
log.info(
"Snapshot %s: %d/%d tree, %d/%d mmp, %d/%d congestion responses",
label,
len(tree_snap),
len(self.topology.nodes),
len(mmp_snap),
len(self.topology.nodes),
len(congestion_snap),
len(self.topology.nodes),
)
def _schedule_next(self, now: float, interval) -> float:
"""Schedule the next event using a Range interval."""
return now + self.rng.uniform(interval.min, interval.max)
def _sleep(self, seconds: float):
"""Sleep in small increments so SIGINT can break out."""
end = time.time() + seconds
while time.time() < end and not self._interrupted:
time.sleep(min(0.5, end - time.time()))