File size: 24,755 Bytes
7e9a520 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 | """AtlasOps inference baseline.
Runs a single incident response chain directly (no separate server needed).
Loads .env automatically.
Usage:
python inference.py
python inference.py --scenario hist-github-2018
python inference.py --scenario all # run every scenario sequentially
python inference.py --list # show available scenarios
"""
import asyncio
import json
import os
import sys
import time
import argparse
from pathlib import Path
def load_local_model(model_path: str):
"""Load a LoRA checkpoint for local inference with Optimum-AMD optimizations.
Used when BACKEND=local (no vLLM server). Uses Hugging Face Optimum-AMD
to load and optimize the model for AMD ROCm hardware, then exposes it for
inference. BetterTransformer is intentionally not used β it has known ROCm
compatibility issues; optimum-amd's AutoModelForCausalLM handles AMD-native
kernel selection instead.
"""
from transformers import AutoTokenizer
import torch
try:
from optimum.amd import AutoModelForCausalLM as OptimumAMDModel
model = OptimumAMDModel.from_pretrained(
model_path,
torch_dtype=torch.bfloat16,
device_map="auto",
)
print("[optimum-amd] model loaded with AMD-native optimizations")
except (ImportError, Exception):
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained(
model_path,
torch_dtype=torch.bfloat16,
device_map="auto",
)
print("[optimum-amd] not available β loaded with base transformers")
tokenizer = AutoTokenizer.from_pretrained(model_path)
model.eval()
return model, tokenizer
# Force UTF-8 stdout/stderr on Windows so LLM Unicode responses don't crash print()
if hasattr(sys.stdout, "reconfigure"):
sys.stdout.reconfigure(encoding="utf-8", errors="replace")
if hasattr(sys.stderr, "reconfigure"):
sys.stderr.reconfigure(encoding="utf-8", errors="replace")
# ββ Load .env ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
_env = Path(__file__).parent / ".env"
if _env.exists():
for line in _env.read_text().splitlines():
line = line.strip()
if line and not line.startswith("#") and "=" in line:
k, _, v = line.partition("=")
os.environ.setdefault(k.strip(), v.strip())
# ββ Scenario catalogue βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
ALERTS = {
# ββ Warmup (trivial β verify agent chain works) βββββββββββββββββββββββββββ
"warmup-001": {
"commonLabels": {"alertname": "HighErrorRate", "severity": "warning", "namespace": "default"},
"commonAnnotations": {"summary": "frontend HTTP 5xx rate above 1% β low severity warmup"},
"alerts": [{"status": "firing", "labels": {"alertname": "HighErrorRate", "service": "frontend", "severity": "warning"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"warmup-002": {
"commonLabels": {"alertname": "PodNotReady", "severity": "warning", "namespace": "default"},
"commonAnnotations": {"summary": "adservice pod not ready β single pod, low impact"},
"alerts": [{"status": "firing", "labels": {"alertname": "PodNotReady", "pod": "adservice-xxx", "severity": "warning"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"warmup-003": {
"commonLabels": {"alertname": "HighLatencyP99", "severity": "warning", "namespace": "default"},
"commonAnnotations": {"summary": "recommendationservice p99 latency > 500ms β intermittent"},
"alerts": [{"status": "firing", "labels": {"alertname": "HighLatencyP99", "service": "recommendationservice", "severity": "warning"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
# ββ Named historical replays βββββββββββββββββββββββββββββββββββββββββββββ
"hist-cloudflare-2019": {
"commonLabels": {"alertname": "HighCPUSaturation", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "CPU saturation on frontend β Cloudflare 2019 replay"},
"alerts": [{"status": "firing", "labels": {"alertname": "HighCPUSaturation", "pod": "frontend-xxx", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"hist-github-2018": {
"commonLabels": {"alertname": "DatabaseFailoverLoop", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "Cloud SQL primary killed β replica promotion loop (GitHub 2018)"},
"alerts": [{"status": "firing", "labels": {"alertname": "DatabaseFailoverLoop", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"hist-discord-2022": {
"commonLabels": {"alertname": "CacheThunderingHerd", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "Redis cache killed β cartservice hammering Cloud SQL (Discord 2022)"},
"alerts": [{"status": "firing", "labels": {"alertname": "CacheThunderingHerd", "service": "cartservice", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"hist-datadog-2023": {
"commonLabels": {"alertname": "DNSResolutionFailure", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "systemd-resolved failure β DNS lookups timing out cluster-wide (Datadog 2023)"},
"alerts": [{"status": "firing", "labels": {"alertname": "DNSResolutionFailure", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"hist-slack-2022": {
"commonLabels": {"alertname": "HTTP2StreamExhaustion", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "HTTP/2 client misconfig causing stream exhaustion β checkout degraded (Slack 2022)"},
"alerts": [{"status": "firing", "labels": {"alertname": "HTTP2StreamExhaustion", "service": "checkoutservice", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"hist-aws-s3-2017": {
"commonLabels": {"alertname": "DeploymentReplicasDown", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "Argo CD bad sync removed deployment replicas β AWS S3 2017 replay (typo'd capacity)"},
"alerts": [{"status": "firing", "labels": {"alertname": "DeploymentReplicasDown", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"hist-azure-dns-2019": {
"commonLabels": {"alertname": "StaleDNSCache", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "CoreDNS misconfig + stale cache β service discovery broken cluster-wide (Azure DNS 2019)"},
"alerts": [{"status": "firing", "labels": {"alertname": "StaleDNSCache", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"hist-fastly-2021": {
"commonLabels": {"alertname": "EnvoyFilterCorruption", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "Bad Envoy filter via Linkerd β all frontend traffic corrupted (Fastly 2021 VCL bug replay)"},
"alerts": [{"status": "firing", "labels": {"alertname": "EnvoyFilterCorruption", "service": "frontend", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"hist-facebook-bgp-2021": {
"commonLabels": {"alertname": "NetworkPartitionControlPlane", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "NetworkChaos partition between service mesh and control plane β BGP withdraw replay (Facebook 2021)"},
"alerts": [{"status": "firing", "labels": {"alertname": "NetworkPartitionControlPlane", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"hist-knight-capital-2012": {
"commonLabels": {"alertname": "PartialDeploymentMismatch", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "Argo CD partial sync β old + new checkout code running simultaneously (Knight Capital 2012 replay)"},
"alerts": [{"status": "firing", "labels": {"alertname": "PartialDeploymentMismatch", "service": "checkoutservice", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
# ββ Single-fault scenarios ββββββββββββββββββββββββββββββββββββββββββββββββ
"sf-001": {
"commonLabels": {"alertname": "PodCrashLooping", "severity": "warning", "namespace": "default"},
"commonAnnotations": {"summary": "cartservice pod killed by OOMKill β crash looping"},
"alerts": [{"status": "firing", "labels": {"alertname": "PodCrashLooping", "pod": "cartservice-xxx", "severity": "warning"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"sf-002": {
"commonLabels": {"alertname": "HighCPUThrottle", "severity": "warning", "namespace": "default"},
"commonAnnotations": {"summary": "paymentservice CPU throttled at 95% β runaway transaction loop"},
"alerts": [{"status": "firing", "labels": {"alertname": "HighCPUThrottle", "service": "paymentservice", "severity": "warning"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"sf-003": {
"commonLabels": {"alertname": "MemoryPressure", "severity": "warning", "namespace": "default"},
"commonAnnotations": {"summary": "checkoutservice memory usage at 90% β potential OOM imminent"},
"alerts": [{"status": "firing", "labels": {"alertname": "MemoryPressure", "service": "checkoutservice", "severity": "warning"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"sf-004": {
"commonLabels": {"alertname": "NetworkPacketLoss", "severity": "warning", "namespace": "default"},
"commonAnnotations": {"summary": "50% packet loss on frontend β flaky network interface"},
"alerts": [{"status": "firing", "labels": {"alertname": "NetworkPacketLoss", "service": "frontend", "severity": "warning"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"sf-005": {
"commonLabels": {"alertname": "RedisCartPartition", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "NetworkChaos partition between Redis and cartservice β cart reads/writes failing"},
"alerts": [{"status": "firing", "labels": {"alertname": "RedisCartPartition", "service": "redis-cart", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"sf-006": {
"commonLabels": {"alertname": "DNSRandomFailure", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "DNSChaos random failures on auth service path β CoreDNS degraded"},
"alerts": [{"status": "firing", "labels": {"alertname": "DNSRandomFailure", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"sf-007": {
"commonLabels": {"alertname": "DiskPressure", "severity": "warning", "namespace": "default"},
"commonAnnotations": {"summary": "IOChaos filling /var/log on emailservice β disk at 95%, notification backlog building"},
"alerts": [{"status": "firing", "labels": {"alertname": "DiskPressure", "service": "emailservice", "severity": "warning"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
"sf-008": {
"commonLabels": {"alertname": "ClockSkew", "severity": "warning", "namespace": "default"},
"commonAnnotations": {"summary": "TimeChaos on paymentservice β JWT clock skew causing token validation failures"},
"alerts": [{"status": "firing", "labels": {"alertname": "ClockSkew", "service": "paymentservice", "severity": "warning"}, "startsAt": "2026-05-09T14:23:31Z"}],
},
# ββ Cascade scenarios βββββββββββββββββββββββββββββββββββββββββββββββββββββ
"cs-001": {
"commonLabels": {"alertname": "CascadeLatencySpike", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "currencyservice latency spike β checkout timeout β cart retry storm β frontend 5xx surge"},
"alerts": [
{"status": "firing", "labels": {"alertname": "CascadeLatencySpike", "service": "currencyservice", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"},
{"status": "firing", "labels": {"alertname": "CheckoutTimeout", "service": "checkoutservice", "severity": "critical"}, "startsAt": "2026-05-09T14:24:00Z"},
{"status": "firing", "labels": {"alertname": "HighErrorRate", "service": "frontend", "severity": "warning"}, "startsAt": "2026-05-09T14:24:30Z"},
],
},
"cs-002": {
"commonLabels": {"alertname": "RedisPartition", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "Redis partition β cart errors β checkout failures β revenue alarm firing"},
"alerts": [
{"status": "firing", "labels": {"alertname": "RedisPartition", "service": "redis-cart", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"},
{"status": "firing", "labels": {"alertname": "CartServiceErrors", "service": "cartservice", "severity": "critical"}, "startsAt": "2026-05-09T14:24:00Z"},
],
},
"cs-003": {
"commonLabels": {"alertname": "RecommendationCPUHog", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "recommendationservice CPU hog β frontend latency spike β user-facing P1"},
"alerts": [
{"status": "firing", "labels": {"alertname": "HighCPUThrottle", "service": "recommendationservice", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"},
{"status": "firing", "labels": {"alertname": "FrontendLatencySpike", "service": "frontend", "severity": "warning"}, "startsAt": "2026-05-09T14:24:00Z"},
],
},
"cs-004": {
"commonLabels": {"alertname": "EmailDiskFullCascade", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "emailservice disk full β notification backlog β checkout confirmation timeout cascade"},
"alerts": [
{"status": "firing", "labels": {"alertname": "DiskPressure", "service": "emailservice", "severity": "warning"}, "startsAt": "2026-05-09T14:23:31Z"},
{"status": "firing", "labels": {"alertname": "CheckoutTimeout", "service": "checkoutservice", "severity": "critical"}, "startsAt": "2026-05-09T14:25:00Z"},
],
},
"cs-005": {
"commonLabels": {"alertname": "CloudSQLConnectionExhaustion", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "Cloud SQL connection pool exhausted β cartservice 500s β checkout cascade failure"},
"alerts": [
{"status": "firing", "labels": {"alertname": "CloudSQLConnectionExhaustion", "service": "cartservice", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"},
{"status": "firing", "labels": {"alertname": "CheckoutServiceErrors", "service": "checkoutservice", "severity": "critical"}, "startsAt": "2026-05-09T14:24:30Z"},
],
},
# ββ Multi-fault scenarios βββββββββββββββββββββββββββββββββββββββββββββββββ
"mf-001": {
"commonLabels": {"alertname": "MultiServiceDegradation", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "3 simultaneous faults: OOMKill on adservice + DNS chaos + network packet loss on frontend"},
"alerts": [
{"status": "firing", "labels": {"alertname": "PodCrashLooping", "service": "adservice", "severity": "warning"}, "startsAt": "2026-05-09T14:23:31Z"},
{"status": "firing", "labels": {"alertname": "DNSResolutionFailure", "severity": "critical"}, "startsAt": "2026-05-09T14:23:45Z"},
{"status": "firing", "labels": {"alertname": "NetworkPacketLoss", "service": "frontend", "severity": "warning"}, "startsAt": "2026-05-09T14:24:00Z"},
],
},
"mf-002": {
"commonLabels": {"alertname": "RedisAndMemoryFault", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "Redis partition + recommendationservice memory pressure simultaneously β compound degradation"},
"alerts": [
{"status": "firing", "labels": {"alertname": "RedisCartPartition", "service": "redis-cart", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"},
{"status": "firing", "labels": {"alertname": "MemoryPressure", "service": "recommendationservice", "severity": "warning"}, "startsAt": "2026-05-09T14:23:50Z"},
],
},
"mf-003": {
"commonLabels": {"alertname": "DNSAndNetworkFault", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "DNS random failures + currencyservice network delay β auth + checkout both broken"},
"alerts": [
{"status": "firing", "labels": {"alertname": "DNSRandomFailure", "severity": "critical"}, "startsAt": "2026-05-09T14:23:31Z"},
{"status": "firing", "labels": {"alertname": "CascadeLatencySpike", "service": "currencyservice", "severity": "warning"}, "startsAt": "2026-05-09T14:24:00Z"},
],
},
"mf-004": {
"commonLabels": {"alertname": "ClockSkewAndCorruption", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "TimeChaos clock skew on paymentservice + cartservice network corruption β JWT + cart both failing"},
"alerts": [
{"status": "firing", "labels": {"alertname": "ClockSkew", "service": "paymentservice", "severity": "warning"}, "startsAt": "2026-05-09T14:23:31Z"},
{"status": "firing", "labels": {"alertname": "NetworkPacketCorruption", "service": "cartservice", "severity": "critical"}, "startsAt": "2026-05-09T14:23:45Z"},
],
},
"mf-005": {
"commonLabels": {"alertname": "IOAndNetworkFault", "severity": "critical", "namespace": "default"},
"commonAnnotations": {"summary": "emailservice IO fault + checkoutservice network delay β notification + checkout both degraded"},
"alerts": [
{"status": "firing", "labels": {"alertname": "DiskPressure", "service": "emailservice", "severity": "warning"}, "startsAt": "2026-05-09T14:23:31Z"},
{"status": "firing", "labels": {"alertname": "CheckoutTimeout", "service": "checkoutservice", "severity": "warning"}, "startsAt": "2026-05-09T14:24:00Z"},
],
},
}
SCENARIO_GROUPS = {
"warmup": [k for k in ALERTS if k.startswith("warmup-")],
"hist": [k for k in ALERTS if k.startswith("hist-")],
"sf": [k for k in ALERTS if k.startswith("sf-")],
"cascade": [k for k in ALERTS if k.startswith("cs-")],
"multi": [k for k in ALERTS if k.startswith("mf-")],
"all": list(ALERTS.keys()),
}
def print_banner(scenario: str):
backend = os.getenv("BACKEND", "vllm")
model = os.getenv("AGENT_MODEL", "Qwen/Qwen2.5-7B-Instruct")
print("\n" + "β" * 70)
print(" AtlasOps β Multi-Agent SRE Incident Response")
print(f" Backend: {backend}")
print(f" Model: {model}")
print(f" Scenario: {scenario}")
print("β" * 70 + "\n")
def print_agent_trace(thoughts: list):
ICONS = {"triage": "π΄", "diagnosis": "π", "remediation": "π§", "comms": "π£"}
PHASE = {"tool_call": "β", "tool_result": "β", "conclusion": "β
", "thinking": "π", "waiting_approval": "β³"}
print("β" * 70)
print(" AGENT TRACE")
print("β" * 70)
for t in thoughts:
icon = ICONS.get(t.get("role", ""), "β’")
phase = PHASE.get(t.get("phase", ""), "β’")
role = t.get("role", "?").upper()
text = t.get("thought", "")
tool = f" [{t['tool']}]" if t.get("tool") else ""
print(f" {icon} {role:12s} {phase} {text[:80]}{tool}")
print("β" * 70 + "\n")
def print_final(role: str, final: dict, turns: int):
"""Pretty-print the full final output for a role."""
outcome_symbol = {
"triage": "π΄", "diagnosis": "π", "remediation": "π§", "comms": "π£"
}.get(role, "β’")
print(f"\n {outcome_symbol} {role.upper():12s} ({turns} turns)")
print(" " + "Β·" * 60)
formatted = json.dumps(final, indent=4, ensure_ascii=False)
for line in formatted.splitlines():
print(f" {line}")
async def run(scenario: str) -> dict:
from agents.coordinator import handle_incident
from agents.stream import get_history
alert = ALERTS.get(scenario, ALERTS["hist-cloudflare-2019"])
alert["scenario_id"] = scenario
print(f"[β] Firing alert: {alert['commonLabels']['alertname']}")
t0 = time.time()
incident = await handle_incident(alert)
elapsed = round(time.time() - t0, 1)
print(f"[β] Chain complete in {elapsed}s\n")
thoughts = get_history()
if thoughts:
print_agent_trace(thoughts)
# Full pretty-printed output per agent
print("β" * 70)
print(" AGENT OUTPUTS")
print("β" * 70)
for role in ("triage", "diagnosis", "remediation", "comms"):
final = incident.get(role, {}).get("final", {})
turns = len(incident.get(role, {}).get("trajectory", []))
print_final(role, final, turns)
postmortem = incident.get("comms", {}).get("final", {}).get("postmortem_path")
if postmortem and Path(postmortem).exists():
print(f"\n[β
] Postmortem saved: {postmortem}")
outcome = incident.get("remediation", {}).get("final", {}).get("outcome", "unknown")
outcome_icon = {"resolved": "β
", "partial": "β οΈ", "escalated": "π", "unresolved": "β"}.get(outcome, "β")
print(f"\n{outcome_icon} [END] Resolved: {outcome}\n")
return incident
async def run_all(scenarios: list[str]):
results = []
for i, sid in enumerate(scenarios, 1):
print(f"\n{'β' * 70}")
print(f" [{i}/{len(scenarios)}] SCENARIO: {sid}")
print(f"{'β' * 70}")
print_banner(sid)
incident = await run(sid)
outcome = incident.get("remediation", {}).get("final", {}).get("outcome", "unknown")
results.append({"scenario": sid, "outcome": outcome})
# Summary table
print(f"\n{'β' * 70}")
print(" RUN SUMMARY")
print(f"{'β' * 70}")
for r in results:
icon = {"resolved": "β
", "partial": "β οΈ", "escalated": "π", "unresolved": "β"}.get(r["outcome"], "β")
print(f" {icon} {r['scenario']:30s} β {r['outcome']}")
resolved = sum(1 for r in results if r["outcome"] in {"resolved", "partial"})
print(f"\n Resolution: {resolved}/{len(results)} ({100*resolved//len(results)}%)")
def main():
parser = argparse.ArgumentParser(description="AtlasOps incident response runner")
group = parser.add_mutually_exclusive_group()
group.add_argument("--scenario", default="hist-cloudflare-2019",
help=f"Scenario ID or group name. Groups: {list(SCENARIO_GROUPS.keys())}. "
f"Individual: {list(ALERTS.keys())}")
group.add_argument("--list", action="store_true", help="List all available scenarios and exit")
args = parser.parse_args()
if args.list:
print("\nAvailable scenarios:")
for group, ids in SCENARIO_GROUPS.items():
if group == "all":
continue
print(f"\n [{group}]")
for sid in ids:
summary = ALERTS[sid]["commonAnnotations"]["summary"][:60]
print(f" {sid:35s} {summary}")
print(f"\n Use --scenario all to run all {len(ALERTS)} scenarios")
return
scenario_arg = args.scenario
if scenario_arg in SCENARIO_GROUPS:
scenarios = SCENARIO_GROUPS[scenario_arg]
asyncio.run(run_all(scenarios))
elif scenario_arg in ALERTS:
print_banner(scenario_arg)
asyncio.run(run(scenario_arg))
else:
print(f"Unknown scenario: {scenario_arg}")
print(f"Available: {list(ALERTS.keys()) + list(SCENARIO_GROUPS.keys())}")
sys.exit(1)
if __name__ == "__main__":
main()
|