mirror of
https://github.com/jmcorgan/fips.git
synced 2026-07-30 19:46:15 +00:00
Johnathan Corgan
59b7ea765b
The log analysis matched "proof verified, caching route" but the actual log message is "Discovery succeeded, proof verified, route cached", causing discovery succeeded to show 0 in all sim runs.
249 lines
9.8 KiB
Python
249 lines
9.8 KiB
Python
#!/usr/bin/env python3
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"""Shared log analysis for FIPS integration tests.
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Parses structured tracing output from FIPS daemons and categorizes
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events (panics, errors, sessions, parent switches, etc.).
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CLI usage:
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python3 -m lib.log_analysis <logfile> [<logfile> ...]
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python3 -m lib.log_analysis --from-docker <container> [<container> ...]
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Exit codes:
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0 — no panics detected
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2 — panics detected
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"""
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from __future__ import annotations
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import re
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import subprocess
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import sys
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from dataclasses import dataclass, field
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# Regex to strip ANSI escape codes from tracing output
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ANSI_RE = re.compile(r"\x1b\[[0-9;]*m")
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def strip_ansi(text: str) -> str:
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"""Remove ANSI escape codes from text."""
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return ANSI_RE.sub("", text)
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@dataclass
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class AnalysisResult:
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"""Categorized events extracted from FIPS daemon logs."""
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errors: list[tuple[str, str]] = field(default_factory=list)
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warnings: list[tuple[str, str]] = field(default_factory=list)
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sessions_established: list[tuple[str, str]] = field(default_factory=list)
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peers_promoted: list[tuple[str, str]] = field(default_factory=list)
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peer_removals: list[tuple[str, str]] = field(default_factory=list)
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parent_switches: list[tuple[str, str]] = field(default_factory=list)
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mmp_link_metrics: list[tuple[str, str]] = field(default_factory=list)
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mmp_session_metrics: list[tuple[str, str]] = field(default_factory=list)
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handshake_timeouts: list[tuple[str, str]] = field(default_factory=list)
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panics: list[tuple[str, str]] = field(default_factory=list)
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congestion_detected: list[tuple[str, str]] = field(default_factory=list)
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kernel_drop_events: list[tuple[str, str]] = field(default_factory=list)
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rekey_cutovers: list[tuple[str, str]] = field(default_factory=list)
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discovery_initiated: list[tuple[str, str]] = field(default_factory=list)
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discovery_succeeded: list[tuple[str, str]] = field(default_factory=list)
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discovery_bloom_miss: list[tuple[str, str]] = field(default_factory=list)
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discovery_backoff: list[tuple[str, str]] = field(default_factory=list)
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discovery_dedup: list[tuple[str, str]] = field(default_factory=list)
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discovery_timeout: list[tuple[str, str]] = field(default_factory=list)
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discovery_retry: list[tuple[str, str]] = field(default_factory=list)
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discovery_no_tree_peer: list[tuple[str, str]] = field(default_factory=list)
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discovery_fallback: list[tuple[str, str]] = field(default_factory=list)
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discovery_trigger: list[tuple[str, str]] = field(default_factory=list)
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def summary(self) -> str:
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"""Format a human-readable summary of the analysis."""
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lines = [
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"=== Log Analysis ===",
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"",
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f"Panics: {len(self.panics)}",
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f"Errors: {len(self.errors)}",
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f"Warnings: {len(self.warnings)}",
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f"Sessions established: {len(self.sessions_established)}",
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f"Peers promoted: {len(self.peers_promoted)}",
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f"Peer removals: {len(self.peer_removals)}",
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f"Parent switches: {len(self.parent_switches)}",
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f"Handshake timeouts: {len(self.handshake_timeouts)}",
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f"MMP link samples: {len(self.mmp_link_metrics)}",
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f"MMP session samples: {len(self.mmp_session_metrics)}",
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f"Congestion events: {len(self.congestion_detected)}",
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f"Kernel drop events: {len(self.kernel_drop_events)}",
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f"Rekey cutovers: {len(self.rekey_cutovers)}",
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"",
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"--- Discovery ---",
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f"Triggers: {len(self.discovery_trigger)}",
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f"Initiated: {len(self.discovery_initiated)}",
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f"Succeeded: {len(self.discovery_succeeded)}",
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f"Retries: {len(self.discovery_retry)}",
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f"Bloom miss: {len(self.discovery_bloom_miss)}",
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f"Backoff suppressed: {len(self.discovery_backoff)}",
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f"Deduplicated: {len(self.discovery_dedup)}",
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f"No tree peer: {len(self.discovery_no_tree_peer)}",
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f"Non-tree fallback: {len(self.discovery_fallback)}",
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f"Timed out: {len(self.discovery_timeout)}",
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]
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if self.panics:
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lines.append("")
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lines.append("--- PANICS ---")
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for source, line in self.panics[:10]:
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lines.append(f" [{source}] {line.strip()}")
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if self.errors:
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lines.append("")
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lines.append("--- ERRORS (first 20) ---")
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for source, line in self.errors[:20]:
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lines.append(f" [{source}] {line.strip()}")
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if self.handshake_timeouts:
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lines.append("")
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lines.append("--- HANDSHAKE TIMEOUTS (first 10) ---")
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for source, line in self.handshake_timeouts[:10]:
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lines.append(f" [{source}] {line.strip()}")
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lines.append("")
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return "\n".join(lines)
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@property
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def has_panics(self) -> bool:
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return len(self.panics) > 0
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def analyze_text(log_text: str, source: str = "") -> AnalysisResult:
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"""Analyze a single log text and return categorized events."""
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result = AnalysisResult()
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_analyze_lines(result, source, log_text)
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return result
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def analyze_logs(logs: dict[str, str]) -> AnalysisResult:
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"""Analyze logs from multiple sources (keyed by source name)."""
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result = AnalysisResult()
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for source, log_text in logs.items():
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_analyze_lines(result, source, log_text)
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return result
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def _analyze_lines(result: AnalysisResult, source: str, log_text: str):
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"""Parse log lines and append to result."""
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for raw_line in log_text.splitlines():
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line = strip_ansi(raw_line)
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# Panics
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if "panicked" in line or "PANIC" in line:
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result.panics.append((source, line))
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# Errors and warnings
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elif " ERROR " in line:
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result.errors.append((source, line))
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elif " WARN " in line:
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result.warnings.append((source, line))
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# Session establishment
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if "Session established" in line:
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result.sessions_established.append((source, line))
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# Peer promotion
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if "Inbound peer promoted" in line or "Outbound handshake completed" in line:
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result.peers_promoted.append((source, line))
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# Peer removal
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if "Peer removed" in line:
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result.peer_removals.append((source, line))
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# Parent switches
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if "Parent switched" in line:
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result.parent_switches.append((source, line))
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# Handshake timeouts
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if "timed out" in line and ("handshake" in line.lower() or "Handshake" in line):
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result.handshake_timeouts.append((source, line))
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# MMP metrics
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if "MMP link metrics" in line:
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result.mmp_link_metrics.append((source, line))
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if "MMP session metrics" in line:
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result.mmp_session_metrics.append((source, line))
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# Congestion events
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if "Congestion detected" in line:
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result.congestion_detected.append((source, line))
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if "Kernel recv drops first observed" in line:
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result.kernel_drop_events.append((source, line))
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# Rekey cutovers
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if "Rekey cutover complete" in line or "FSP rekey cutover complete" in line:
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result.rekey_cutovers.append((source, line))
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# Discovery
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if "Initiating LookupRequest" in line or "Discovery lookup initiated" in line:
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result.discovery_initiated.append((source, line))
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if "proof verified, route cached" in line:
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result.discovery_succeeded.append((source, line))
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if "target not in any peer bloom filter" in line:
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result.discovery_bloom_miss.append((source, line))
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if "suppressed by backoff" in line:
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result.discovery_backoff.append((source, line))
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if "deduplicated, already pending" in line:
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result.discovery_dedup.append((source, line))
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if "lookup timed out" in line:
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result.discovery_timeout.append((source, line))
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if "Discovery retry sent" in line:
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result.discovery_retry.append((source, line))
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if "no tree peers with bloom match" in line or "No eligible peers to forward" in line:
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result.discovery_no_tree_peer.append((source, line))
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if "non-tree fallback" in line:
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result.discovery_fallback.append((source, line))
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if "Failed to initiate session, trying discovery" in line:
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result.discovery_trigger.append((source, line))
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def collect_docker_logs(containers: list[str]) -> dict[str, str]:
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"""Collect logs from Docker containers, stripping ANSI codes."""
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logs = {}
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for name in containers:
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try:
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result = subprocess.run(
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["docker", "logs", name],
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capture_output=True,
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text=True,
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timeout=30,
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)
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raw = result.stdout + result.stderr
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logs[name] = strip_ansi(raw)
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except (subprocess.TimeoutExpired, Exception):
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logs[name] = ""
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return logs
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def main():
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"""CLI entry point."""
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if len(sys.argv) < 2:
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print(f"Usage: {sys.argv[0]} [--from-docker] <source> [<source> ...]",
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file=sys.stderr)
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sys.exit(1)
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from_docker = False
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args = sys.argv[1:]
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if args[0] == "--from-docker":
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from_docker = True
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args = args[1:]
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if not args:
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print("Error: no sources specified", file=sys.stderr)
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sys.exit(1)
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if from_docker:
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logs = collect_docker_logs(args)
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else:
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logs = {}
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for path in args:
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with open(path) as f:
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logs[path] = f.read()
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result = analyze_logs(logs)
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print(result.summary())
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sys.exit(2 if result.has_panics else 0)
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if __name__ == "__main__":
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main()
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