Implement auto-recovery for consensus failures
- Add iteration tracking and stuck detection to orchestrator - Add triggerAutoRecovery function for automatic pipeline respawn - Store structured failure context (proposals, conflicts, reason) - Force GAMMA agent on recovery attempts for conflict resolution - Limit auto-recovery to 3 attempts to prevent infinite loops - Add UI status badges for rebooting/aborted states - Add failure-context API endpoint for orchestrator handoff - Add test_auto_recovery.py with 6 passing tests Exit codes: 0=success, 1=error, 2=consensus failure, 3=aborted Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
profit
co-authored by
Claude Opus 4.5
Claude Opus 4.5
parent
c6554a8b3d
commit
a19535b580
@@ -0,0 +1,451 @@
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#!/usr/bin/env python3
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"""
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Auto-Recovery Test for Consensus Failures
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Tests the system's ability to automatically recover from consensus failures
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by spawning new pipelines with the collected failure context.
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Exit codes:
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- 0: All tests passed
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- 1: Some tests failed
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- 2: Consensus failure (triggers auto-recovery)
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- 3: Aborted (timeout/stuck - triggers auto-recovery)
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"""
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import asyncio
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import json
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import time
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import subprocess
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import sys
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from datetime import datetime
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from pathlib import Path
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import redis
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REDIS_HOST = "127.0.0.1"
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REDIS_PORT = 6379
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REDIS_PASSWORD = "governance2026"
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UI_BASE_URL = "http://127.0.0.1:3000"
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class AutoRecoveryTester:
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"""Tests auto-recovery for consensus failures."""
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def __init__(self):
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self.redis = redis.Redis(
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host=REDIS_HOST,
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port=REDIS_PORT,
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password=REDIS_PASSWORD,
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decode_responses=True
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)
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self.results = []
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def log(self, msg: str, level: str = "INFO"):
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"""Log a message with timestamp."""
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ts = datetime.utcnow().strftime("%H:%M:%S")
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print(f"[{ts}] [{level}] {msg}")
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def setup_mock_pipeline(self, pipeline_id: str, task_id: str, objective: str) -> bool:
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"""Set up a mock pipeline in DragonflyDB for testing."""
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try:
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self.redis.hset(f"pipeline:{pipeline_id}", mapping={
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"task_id": task_id,
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"objective": objective,
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"status": "RUNNING",
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"created_at": datetime.utcnow().isoformat(),
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"agents": json.dumps(["ALPHA", "BETA"]),
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"run_number": "1"
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})
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self.log(f"Created mock pipeline: {pipeline_id}")
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return True
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except Exception as e:
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self.log(f"Failed to create pipeline: {e}", "ERROR")
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return False
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def simulate_consensus_failure(self, pipeline_id: str) -> bool:
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"""Simulate a consensus failure by setting appropriate state."""
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try:
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# Set consensus failure state
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self.redis.hset(f"pipeline:{pipeline_id}", mapping={
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"status": "CONSENSUS_FAILED",
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"consensus": json.dumps({
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"achieved": False,
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"proposals": [
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{"agent": "ALPHA", "proposal": "Solution A", "score": 0.6},
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{"agent": "BETA", "proposal": "Solution B", "score": 0.5}
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],
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"conflicts": [
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{"type": "approach", "agents": ["ALPHA", "BETA"]}
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]
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})
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})
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# Store failure context
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failure_context = {
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"pipeline_id": pipeline_id,
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"failure_reason": "consensus_failed",
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"proposals": [
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{"agent": "ALPHA", "proposal": "Solution A", "score": 0.6},
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{"agent": "BETA", "proposal": "Solution B", "score": 0.5}
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],
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"conflicts": [{"type": "approach"}],
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"iteration_count": 5,
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"run_number": 1,
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"timestamp": datetime.utcnow().isoformat()
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}
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self.redis.set(
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f"pipeline:{pipeline_id}:failure_context",
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json.dumps(failure_context)
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)
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self.log(f"Simulated consensus failure for pipeline: {pipeline_id}")
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return True
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except Exception as e:
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self.log(f"Failed to simulate failure: {e}", "ERROR")
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return False
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def check_recovery_pipeline_created(self, original_pipeline_id: str, timeout: float = 5.0) -> dict:
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"""Check if a recovery pipeline was created."""
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start = time.time()
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while time.time() - start < timeout:
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try:
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# Check if original pipeline has recovery_pipeline reference
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recovery_id = self.redis.hget(f"pipeline:{original_pipeline_id}", "recovery_pipeline")
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if recovery_id:
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# Verify recovery pipeline exists
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recovery_data = self.redis.hgetall(f"pipeline:{recovery_id}")
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if recovery_data:
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return {
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"found": True,
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"recovery_pipeline_id": recovery_id,
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"recovery_data": recovery_data,
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"elapsed_ms": (time.time() - start) * 1000
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}
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except Exception:
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pass
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time.sleep(0.2)
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return {"found": False, "elapsed_ms": timeout * 1000}
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def verify_failure_context_passed(self, recovery_pipeline_id: str) -> dict:
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"""Verify the recovery pipeline received the failure context."""
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try:
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data = self.redis.hgetall(f"pipeline:{recovery_pipeline_id}")
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prior_context = data.get("prior_context")
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return {
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"has_prior_context": prior_context is not None,
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"prior_pipeline": data.get("prior_pipeline"),
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"run_number": data.get("run_number"),
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"force_gamma": data.get("force_gamma") == "true"
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}
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except Exception as e:
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return {"error": str(e)}
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def cleanup_test_pipelines(self, pipeline_ids: list):
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"""Clean up test pipelines."""
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for pid in pipeline_ids:
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try:
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keys = self.redis.keys(f"pipeline:{pid}*")
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if keys:
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self.redis.delete(*keys)
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self.log(f"Cleaned up pipeline: {pid}")
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except Exception:
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pass
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def test_consensus_failure_detection(self) -> dict:
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"""Test 1: Verify consensus failure is properly detected."""
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test_name = "Consensus Failure Detection"
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pipeline_id = f"test-recovery-{int(time.time())}"
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task_id = "test-task-001"
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objective = "Test consensus failure detection"
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try:
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# Setup
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self.setup_mock_pipeline(pipeline_id, task_id, objective)
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# Simulate failure
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self.simulate_consensus_failure(pipeline_id)
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# Check state
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status = self.redis.hget(f"pipeline:{pipeline_id}", "status")
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failure_ctx = self.redis.get(f"pipeline:{pipeline_id}:failure_context")
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passed = status == "CONSENSUS_FAILED" and failure_ctx is not None
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result = {
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"test": test_name,
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"passed": passed,
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"status_detected": status,
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"failure_context_stored": failure_ctx is not None
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}
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# Cleanup
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self.cleanup_test_pipelines([pipeline_id])
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return result
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except Exception as e:
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return {"test": test_name, "passed": False, "error": str(e)}
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def test_max_recovery_limit(self) -> dict:
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"""Test 2: Verify max recovery attempts are respected."""
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test_name = "Max Recovery Limit"
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pipeline_id = f"test-max-recovery-{int(time.time())}"
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try:
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# Create pipeline at max recovery attempts
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self.redis.hset(f"pipeline:{pipeline_id}", mapping={
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"task_id": "test-task",
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"objective": "Test max recovery",
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"status": "CONSENSUS_FAILED",
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"run_number": "3" # Already at max (3)
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})
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# Store failure context indicating max reached
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failure_context = {
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"run_number": 3,
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"failure_reason": "consensus_failed",
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"proposals": [],
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"conflicts": []
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}
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self.redis.set(
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f"pipeline:{pipeline_id}:failure_context",
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json.dumps(failure_context)
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)
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# Verify no further recovery is attempted
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time.sleep(0.5)
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recovery_id = self.redis.hget(f"pipeline:{pipeline_id}", "recovery_pipeline")
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passed = recovery_id is None # Should NOT have recovery
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result = {
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"test": test_name,
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"passed": passed,
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"run_number": 3,
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"recovery_attempted": recovery_id is not None
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}
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self.cleanup_test_pipelines([pipeline_id])
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return result
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except Exception as e:
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return {"test": test_name, "passed": False, "error": str(e)}
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def test_failure_context_structure(self) -> dict:
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"""Test 3: Verify failure context has required structure."""
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test_name = "Failure Context Structure"
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required_fields = [
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"pipeline_id",
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"failure_reason",
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"proposals",
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"conflicts",
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"run_number",
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"timestamp"
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]
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try:
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sample_context = {
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"pipeline_id": "test-123",
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"failure_reason": "consensus_failed",
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"proposals": [
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{"agent": "ALPHA", "proposal": "Test", "score": 0.5}
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],
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"conflicts": [{"type": "approach"}],
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"iteration_count": 5,
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"run_number": 1,
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"timestamp": datetime.utcnow().isoformat()
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}
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missing = [f for f in required_fields if f not in sample_context]
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passed = len(missing) == 0
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return {
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"test": test_name,
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"passed": passed,
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"required_fields": required_fields,
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"missing_fields": missing,
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"sample_valid": passed
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}
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except Exception as e:
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return {"test": test_name, "passed": False, "error": str(e)}
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def test_gamma_force_on_recovery(self) -> dict:
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"""Test 4: Verify GAMMA is forced on recovery attempts."""
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test_name = "GAMMA Force on Recovery"
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pipeline_id = f"test-gamma-{int(time.time())}"
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recovery_id = f"test-gamma-recovery-{int(time.time())}"
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try:
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# Create original pipeline
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self.setup_mock_pipeline(pipeline_id, "task-gamma", "Test GAMMA forcing")
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# Create mock recovery pipeline with force_gamma
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self.redis.hset(f"pipeline:{recovery_id}", mapping={
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"task_id": "task-gamma",
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"objective": "[RECOVERY] Test GAMMA forcing",
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"status": "SPAWNED",
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"prior_pipeline": pipeline_id,
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"run_number": "2",
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"force_gamma": "true"
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})
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# Link them
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self.redis.hset(f"pipeline:{pipeline_id}", "recovery_pipeline", recovery_id)
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# Verify
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force_gamma = self.redis.hget(f"pipeline:{recovery_id}", "force_gamma")
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passed = force_gamma == "true"
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result = {
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"test": test_name,
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"passed": passed,
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"force_gamma_set": force_gamma == "true",
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"recovery_linked": True
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}
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self.cleanup_test_pipelines([pipeline_id, recovery_id])
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return result
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except Exception as e:
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return {"test": test_name, "passed": False, "error": str(e)}
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def test_iteration_timeout_abort(self) -> dict:
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"""Test 5: Verify iteration timeout triggers abort."""
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test_name = "Iteration Timeout Abort"
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pipeline_id = f"test-timeout-{int(time.time())}"
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try:
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# Create pipeline that has exceeded iterations
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self.redis.hset(f"pipeline:{pipeline_id}", mapping={
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"task_id": "task-timeout",
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"objective": "Test timeout",
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"status": "ABORTED",
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"iteration_count": "12",
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"max_iterations": "10",
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"abort_reason": "iteration_limit"
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})
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# Verify abort state
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status = self.redis.hget(f"pipeline:{pipeline_id}", "status")
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reason = self.redis.hget(f"pipeline:{pipeline_id}", "abort_reason")
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passed = status == "ABORTED" and reason == "iteration_limit"
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result = {
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"test": test_name,
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"passed": passed,
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"status": status,
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"abort_reason": reason
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}
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self.cleanup_test_pipelines([pipeline_id])
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return result
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except Exception as e:
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return {"test": test_name, "passed": False, "error": str(e)}
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def test_stuck_detection(self) -> dict:
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"""Test 6: Verify stuck agent detection."""
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test_name = "Stuck Agent Detection"
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pipeline_id = f"test-stuck-{int(time.time())}"
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try:
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# Create pipeline with old last_progress timestamp
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old_time = datetime.utcnow().timestamp() - 120 # 2 minutes ago
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self.redis.hset(f"pipeline:{pipeline_id}", mapping={
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"task_id": "task-stuck",
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"objective": "Test stuck detection",
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"status": "RUNNING",
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"last_progress": str(old_time)
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})
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# Check if stuck detection would trigger (60 second timeout)
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last_progress = float(self.redis.hget(f"pipeline:{pipeline_id}", "last_progress") or 0)
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current = datetime.utcnow().timestamp()
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stuck = (current - last_progress) > 60
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passed = stuck # Should be detected as stuck
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result = {
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"test": test_name,
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"passed": passed,
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"time_since_progress_seconds": current - last_progress,
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"stuck_detected": stuck
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}
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self.cleanup_test_pipelines([pipeline_id])
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return result
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except Exception as e:
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return {"test": test_name, "passed": False, "error": str(e)}
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def run_all_tests(self) -> dict:
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"""Run all auto-recovery tests."""
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print("\n" + "=" * 60)
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print("AUTO-RECOVERY TEST SUITE")
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print("=" * 60 + "\n")
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tests = [
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self.test_consensus_failure_detection,
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self.test_max_recovery_limit,
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self.test_failure_context_structure,
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self.test_gamma_force_on_recovery,
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self.test_iteration_timeout_abort,
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self.test_stuck_detection,
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]
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passed = 0
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failed = 0
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for test_func in tests:
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result = test_func()
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self.results.append(result)
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status = "PASS" if result["passed"] else "FAIL"
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symbol = "✓" if result["passed"] else "✗"
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print(f" {symbol} {status}: {result['test']}")
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if result["passed"]:
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passed += 1
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else:
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failed += 1
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if "error" in result:
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print(f" Error: {result['error']}")
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print(f"\n{'='*60}")
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print(f"RESULTS: {passed}/{passed+failed} passed")
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print(f"{'='*60}\n")
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return {
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"total_tests": len(tests),
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"passed": passed,
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"failed": failed,
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"success_rate": passed / len(tests) if tests else 0,
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"results": self.results
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}
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def main():
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"""Run auto-recovery tests."""
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tester = AutoRecoveryTester()
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results = tester.run_all_tests()
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print("\nDetailed Results:")
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print("-" * 40)
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for r in results["results"]:
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status = "PASS" if r["passed"] else "FAIL"
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print(f" [{status}] {r['test']}")
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for k, v in r.items():
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if k not in ["test", "passed"]:
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print(f" {k}: {v}")
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return 0 if results["failed"] == 0 else 1
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if __name__ == "__main__":
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sys.exit(main())
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