Files
fips/testing/lib/log_analysis.py
T
Johnathan Corgan d21f818659 Check that log strings tests match on are still ones the daemon emits
A test that greps the daemon's log for a message the daemon stopped emitting
does not fail. It stops observing, and an assertion built on it — especially
one expecting a count of zero — then passes because nothing can be seen
rather than because nothing happened. Several findings have come from that
one class, so it is now checked mechanically.

testing/check-log-strings.py extracts the strings test code matches against
daemon log text and requires each to exist in src/. It reads four shapes:
python `"..." in line` tests, the first argument of the shell log helpers,
bash associative-array pattern tables, and greps whose input is daemon log
output. Patterns carry regex syntax, so each is reduced to the longest
literal run of every alternation branch, with escaping resolved in the same
pass — `\.` is a literal dot and `.` is a wildcard, and conflating them would
let a pattern match text that is not there.

Scoping is by what a grep READS, not by what its file mentions. A suite greps
its own analyzer output, fipsctl JSON, Tor's log and ping output, and none of
those have to correspond to a string in src/; scoping on the file produced 34
false positives. Strings that legitimately do not come from src/ are named in
ALLOWED with a reason, so the exceptions are reviewable rather than invisible.

It found six dead strings, three of which were not previously known: a second
copy of "Excessive decrypt failures" in the interop pattern table, a dead
"Handshake error" branch inside an alternation whose other branches still
matched, and "bootstrap failed" in the NAT suite. All six are corrected to
what the daemon emits, or dropped where the surviving branch already covers
the case. Verified by breaking it two ways and confirming it reports.

Also here, since it is the same failure shape one layer down: the shared log
library returned an empty string for a container whose logs it could not
read, so analysing a missing container reported no panics, no errors and no
sessions, and exited 0 — indistinguishable from a clean run. It now reports
which containers could not be read and raises, matching the fix already
landed in the chaos copy.
2026-07-23 02:42:25 +00:00

275 lines
11 KiB
Python

#!/usr/bin/env python3
"""Shared log analysis for FIPS integration tests.
Parses structured tracing output from FIPS daemons and categorizes
events (panics, errors, sessions, parent switches, etc.).
CLI usage:
python3 -m lib.log_analysis <logfile> [<logfile> ...]
python3 -m lib.log_analysis --from-docker <container> [<container> ...]
Exit codes:
0 — no panics detected
2 — panics detected
"""
from __future__ import annotations
import re
import subprocess
import sys
from dataclasses import dataclass, field
# Regex to strip ANSI escape codes from tracing output
ANSI_RE = re.compile(r"\x1b\[[0-9;]*m")
def strip_ansi(text: str) -> str:
"""Remove ANSI escape codes from text."""
return ANSI_RE.sub("", text)
@dataclass
class AnalysisResult:
"""Categorized events extracted from FIPS daemon logs."""
errors: list[tuple[str, str]] = field(default_factory=list)
warnings: list[tuple[str, str]] = field(default_factory=list)
sessions_established: list[tuple[str, str]] = field(default_factory=list)
peers_promoted: list[tuple[str, str]] = field(default_factory=list)
peer_removals: list[tuple[str, str]] = field(default_factory=list)
parent_switches: list[tuple[str, str]] = field(default_factory=list)
mmp_link_metrics: list[tuple[str, str]] = field(default_factory=list)
mmp_session_metrics: list[tuple[str, str]] = field(default_factory=list)
handshake_timeouts: list[tuple[str, str]] = field(default_factory=list)
panics: list[tuple[str, str]] = field(default_factory=list)
congestion_detected: list[tuple[str, str]] = field(default_factory=list)
kernel_drop_events: list[tuple[str, str]] = field(default_factory=list)
rekey_cutovers: list[tuple[str, str]] = field(default_factory=list)
discovery_initiated: list[tuple[str, str]] = field(default_factory=list)
discovery_succeeded: list[tuple[str, str]] = field(default_factory=list)
discovery_bloom_miss: list[tuple[str, str]] = field(default_factory=list)
discovery_backoff: list[tuple[str, str]] = field(default_factory=list)
discovery_dedup: list[tuple[str, str]] = field(default_factory=list)
discovery_timeout: list[tuple[str, str]] = field(default_factory=list)
discovery_retry: list[tuple[str, str]] = field(default_factory=list)
discovery_no_tree_peer: list[tuple[str, str]] = field(default_factory=list)
discovery_fallback: list[tuple[str, str]] = field(default_factory=list)
discovery_trigger: list[tuple[str, str]] = field(default_factory=list)
def summary(self) -> str:
"""Format a human-readable summary of the analysis."""
lines = [
"=== Log Analysis ===",
"",
f"Panics: {len(self.panics)}",
f"Errors: {len(self.errors)}",
f"Warnings: {len(self.warnings)}",
f"Sessions established: {len(self.sessions_established)}",
f"Peers promoted: {len(self.peers_promoted)}",
f"Peer removals: {len(self.peer_removals)}",
f"Parent switches: {len(self.parent_switches)}",
f"Handshake timeouts: {len(self.handshake_timeouts)}",
f"MMP link samples: {len(self.mmp_link_metrics)}",
f"MMP session samples: {len(self.mmp_session_metrics)}",
f"Congestion events: {len(self.congestion_detected)}",
f"Kernel drop events: {len(self.kernel_drop_events)}",
f"Rekey cutovers: {len(self.rekey_cutovers)}",
"",
"--- Discovery ---",
f"Triggers: {len(self.discovery_trigger)}",
f"Initiated: {len(self.discovery_initiated)}",
f"Succeeded: {len(self.discovery_succeeded)}",
f"Retries: {len(self.discovery_retry)}",
f"Bloom miss: {len(self.discovery_bloom_miss)}",
f"Backoff suppressed: {len(self.discovery_backoff)}",
f"Deduplicated: {len(self.discovery_dedup)}",
f"No tree peer: {len(self.discovery_no_tree_peer)}",
f"Non-tree fallback: {len(self.discovery_fallback)}",
f"Timed out: {len(self.discovery_timeout)}",
]
if self.panics:
lines.append("")
lines.append("--- PANICS ---")
for source, line in self.panics[:10]:
lines.append(f" [{source}] {line.strip()}")
if self.errors:
lines.append("")
lines.append("--- ERRORS (first 20) ---")
for source, line in self.errors[:20]:
lines.append(f" [{source}] {line.strip()}")
if self.handshake_timeouts:
lines.append("")
lines.append("--- HANDSHAKE TIMEOUTS (first 10) ---")
for source, line in self.handshake_timeouts[:10]:
lines.append(f" [{source}] {line.strip()}")
lines.append("")
return "\n".join(lines)
@property
def has_panics(self) -> bool:
return len(self.panics) > 0
def analyze_text(log_text: str, source: str = "") -> AnalysisResult:
"""Analyze a single log text and return categorized events."""
result = AnalysisResult()
_analyze_lines(result, source, log_text)
return result
def analyze_logs(logs: dict[str, str]) -> AnalysisResult:
"""Analyze logs from multiple sources (keyed by source name)."""
result = AnalysisResult()
for source, log_text in logs.items():
_analyze_lines(result, source, log_text)
return result
def _analyze_lines(result: AnalysisResult, source: str, log_text: str):
"""Parse log lines and append to result."""
for raw_line in log_text.splitlines():
line = strip_ansi(raw_line)
# Panics
if "panicked" in line or "PANIC" in line:
result.panics.append((source, line))
# Errors and warnings
elif " ERROR " in line:
result.errors.append((source, line))
elif " WARN " in line:
result.warnings.append((source, line))
# Session establishment
if "Session established" in line:
result.sessions_established.append((source, line))
# Peer promotion
if "Peer promoted to active" in line or "Outbound handshake completed" in line:
result.peers_promoted.append((source, line))
# Peer removal
if "Peer removed" in line:
result.peer_removals.append((source, line))
# Parent switches
if "Parent switched" in line:
result.parent_switches.append((source, line))
# Handshake timeouts
if "timed out" in line and ("handshake" in line.lower() or "Handshake" in line):
result.handshake_timeouts.append((source, line))
# MMP metrics
if "MMP link metrics" in line:
result.mmp_link_metrics.append((source, line))
if "MMP session metrics" in line:
result.mmp_session_metrics.append((source, line))
# Congestion events
if "Congestion detected" in line:
result.congestion_detected.append((source, line))
if "Kernel recv drops first observed" in line:
result.kernel_drop_events.append((source, line))
# Rekey cutovers
if "Rekey cutover complete" in line or "FSP rekey cutover complete" in line:
result.rekey_cutovers.append((source, line))
# Discovery
if "Discovery lookup initiated" in line:
result.discovery_initiated.append((source, line))
if "proof verified, route cached" in line:
result.discovery_succeeded.append((source, line))
if "target not in any peer bloom filter" in line:
result.discovery_bloom_miss.append((source, line))
if "suppressed by backoff" in line:
result.discovery_backoff.append((source, line))
if "deduplicated, already pending" in line:
result.discovery_dedup.append((source, line))
if "lookup timed out" in line:
result.discovery_timeout.append((source, line))
if "Discovery retry sent" in line:
result.discovery_retry.append((source, line))
if "no tree peers with bloom match" in line or "No eligible peers to forward" in line:
result.discovery_no_tree_peer.append((source, line))
if "non-tree fallback" in line:
result.discovery_fallback.append((source, line))
if "Failed to initiate session, trying discovery" in line:
result.discovery_trigger.append((source, line))
def collect_docker_logs(containers: list[str]) -> dict[str, str]:
"""Collect logs from Docker containers, stripping ANSI codes.
Raises RuntimeError if any container's log could not be read. `docker
logs` reports a missing container on stderr and exits non-zero, so
without the returncode check that reply was stored as though it were the
node's own log and analysed as a mesh with no panics, no errors and no
sessions — which reads exactly like a clean run. Substituting "" on the
exception path has the same effect. Mirrors the fix already landed in
chaos/sim/logs.py's collect_logs.
"""
logs = {}
failed = []
for name in containers:
try:
result = subprocess.run(
["docker", "logs", name],
capture_output=True,
text=True,
timeout=30,
)
except Exception as e:
print(f"failed to collect logs from {name}: {e}", file=sys.stderr)
failed.append(name)
continue
if result.returncode != 0:
print(
f"docker logs {name} exited {result.returncode}: "
f"{result.stderr.strip()}",
file=sys.stderr,
)
failed.append(name)
continue
# A container's own stderr arrives on our stderr, so on the success
# path both streams are log content.
logs[name] = strip_ansi(result.stdout + result.stderr)
if failed:
raise RuntimeError("could not read logs from: " + ", ".join(failed))
return logs
def main():
"""CLI entry point."""
if len(sys.argv) < 2:
print(f"Usage: {sys.argv[0]} [--from-docker] <source> [<source> ...]",
file=sys.stderr)
sys.exit(1)
from_docker = False
args = sys.argv[1:]
if args[0] == "--from-docker":
from_docker = True
args = args[1:]
if not args:
print("Error: no sources specified", file=sys.stderr)
sys.exit(1)
if from_docker:
logs = collect_docker_logs(args)
else:
logs = {}
for path in args:
with open(path) as f:
logs[path] = f.read()
result = analyze_logs(logs)
print(result.summary())
sys.exit(2 if result.has_panics else 0)
if __name__ == "__main__":
main()