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feat: add scheduler health API endpoint (Phase 2 Task 8)
Task 8 of 10 complete. Exposes read-only scheduler health data including: - Queue depth and distribution by instance type - Dead-letter queue inspection (top 25 tasks with error details) - Circuit breaker states (instance-level) - Staleness scores per instance New API endpoint: GET /api/monitoring/scheduler/health (requires authentication) New snapshot methods: - StalenessTracker.Snapshot() - exports all staleness data - TaskQueue.Snapshot() - queue depth & per-type distribution - TaskQueue.PeekAll() - dead-letter task inspection - circuitBreaker.State() - exports state, failures, retryAt - Monitor.SchedulerHealth() - aggregates all health data Documentation updated with API spec, field descriptions, and usage examples.
This commit is contained in:
153
docs/PHASE2_SUMMARY.md
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153
docs/PHASE2_SUMMARY.md
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@@ -0,0 +1,153 @@
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# Pulse Adaptive Polling – Phase 2 Summary
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## Executive Summary
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Phase 2 delivers adaptive polling infrastructure that dynamically adjusts monitoring intervals based on instance freshness, error rates, and system load. The scheduler replaces fixed cadences with intelligent priority-based execution, dramatically improving resource efficiency while maintaining data freshness.
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## Completed Tasks (8/10 - 80%)
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### ✅ Task 1: Poll Cycle Metrics
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- 7 new Prometheus metrics (duration, staleness, queue depth, in-flight, errors)
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- Per-instance tracking with histogram/counter/gauge types
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- Integrated into all poll functions (PVE/PBS/PMG)
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- Metrics server on port 9091
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### ✅ Task 2: Adaptive Scheduler Scaffold
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- Pluggable interfaces (StalenessSource, IntervalSelector, TaskEnqueuer)
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- BuildPlan generates ordered task lists with NextRun times
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- FilterDue/DispatchDue for queue management
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- Default no-op implementations for gradual rollout
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### ✅ Task 3: Configuration & Feature Flags
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- `ADAPTIVE_POLLING_ENABLED` feature flag (default: false)
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- Min/max/base interval tuning (5s / 5m / 10s defaults)
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- Environment variable overrides
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- Persisted in system.json
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- Validation logic (min ≤ base ≤ max)
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### ✅ Task 4: Staleness Tracker
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- Per-instance freshness metadata (last success/error/mutation)
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- SHA1 change hash detection
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- Normalized staleness scoring (0-1 scale)
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- Integration with PollMetrics for authoritative timestamps
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- Updates from all poll result handlers
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### ✅ Task 5: Adaptive Interval Logic
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- EMA smoothing (alpha=0.6) to prevent oscillations
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- Staleness-based interpolation (min-max range)
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- Error penalty (0.6x per failure) for faster recovery detection
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- Queue depth stretch (0.1x per task) for backpressure
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- ±5% jitter to avoid thundering herd
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### ✅ Task 6: Priority Queue Execution
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- Min-heap (container/heap) ordered by NextRun + Priority
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- Worker goroutines with WaitNext() blocking
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- Tasks only execute when due (respects adaptive intervals)
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- Automatic rescheduling after execution
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- Upsert semantics prevent duplicates
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### ✅ Task 7: Error Handling & Circuit Breakers
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- Circuit breaker with closed/open/half-open states
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- Trips after 3 consecutive failures
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- Exponential backoff (5s initial, 2x multiplier, 5min max)
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- ±20% jitter on retry delays
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- Dead-letter queue after 5 transient failures
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- Error classification (transient vs permanent)
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### ✅ Task 10: Documentation
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- Architecture guide in `docs/monitoring/ADAPTIVE_POLLING.md`
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- Configuration reference
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- Metrics catalog
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- Operational guidance & troubleshooting
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- Rollout plan (dev → staged → full)
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## Deferred Tasks (2/10 - 20%)
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### ⏭ Task 8: API Surfaces (Future Phase)
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- Scheduler health endpoint
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- Dead-letter queue inspection/management
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- Circuit breaker state visibility
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- UI dashboard integration
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### ⏭ Task 9: Testing Harness (Future Phase)
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- Unit tests for scheduler math
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- Integration tests with mock instances
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- Soak tests for queue stability
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- Regression suite for Phase 1 hardening
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## Key Metrics Delivered
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| Metric | Purpose |
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|--------|---------|
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| `pulse_monitor_poll_total` | Success/error rate tracking |
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| `pulse_monitor_poll_duration_seconds` | Latency per instance |
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| `pulse_monitor_poll_staleness_seconds` | Data freshness indicator |
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| `pulse_monitor_poll_queue_depth` | Backpressure monitoring |
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| `pulse_monitor_poll_inflight` | Concurrency tracking |
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| `pulse_monitor_poll_errors_total` | Error type classification |
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| `pulse_monitor_poll_last_success_timestamp` | Recovery timeline |
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## Technical Achievements
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**Performance:**
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- Adaptive intervals reduce unnecessary polls on idle instances
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- Queue-based execution prevents task pile-up
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- Circuit breakers stop hot loops on failing endpoints
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**Reliability:**
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- Exponential backoff with jitter prevents thundering herd
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- Dead-letter queue isolates persistent failures
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- Transient error retry logic (5 attempts before DLQ)
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**Observability:**
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- 7 Prometheus metrics for complete visibility
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- Structured logging for all state transitions
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- Tamper-evident audit trail (from Phase 1)
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## Deployment Status
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**Current State:** Feature flag disabled by default (`ADAPTIVE_POLLING_ENABLED=false`)
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**Activation Path:**
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1. Enable flag in dev/QA environment
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2. Observe metrics for 24-48 hours
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3. Staged rollout to subset of production clusters
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4. Full activation after validation
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**Rollback:** Set `ADAPTIVE_POLLING_ENABLED=false` to revert to fixed intervals
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## Git Commits
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1. `c048e7b9b` - Tasks 1-3: Metrics + scheduler + config
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2. `8ce93c1df` - Task 4: Staleness tracker
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3. `e8bd79c6c` - Task 5: Adaptive interval logic
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4. `1d6fa9188` - Task 6: Priority queue execution
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5. `7d9aaa406` - Task 7: Circuit breakers & backoff
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6. `[current]` - Task 10: Documentation
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## Phase 2 Success Criteria ✅
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- [x] Metrics pipeline operational
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- [x] Scheduler produces valid task plans
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- [x] Queue respects adaptive intervals
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- [x] Circuit breakers prevent runaway failures
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- [x] Documentation enables ops team rollout
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- [x] Feature flag allows safe activation
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## Known Limitations
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- Dead-letter queue state lost on restart (no persistence yet)
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- Circuit breaker state not exposed via API (Task 8)
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- No automated test coverage (Task 9)
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- Queue depth metric updated per-cycle (not real-time within cycle)
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## Next Steps
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**Immediate (Post-Phase 2):**
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- Deploy to dev environment with flag enabled
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- Configure Grafana dashboards for new metrics
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- Set alerting thresholds (queue depth >50, staleness >60s)
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**Future Phases:**
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- Task 8: REST API for scheduler introspection
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- Task 9: Comprehensive test suite
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- Phase 3: External sentinels and cross-cluster coordination
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@@ -71,11 +71,76 @@ Backoff configuration:
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Dead-letter entries are kept in memory (same `TaskQueue` structure) with a 30 min recheck interval. Operators should inspect logs for `Routing task to dead-letter queue` messages. Future work (Task 8) will add API surfaces for inspection.
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## API Endpoints
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### GET /api/monitoring/scheduler/health
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Returns comprehensive scheduler health data (authentication required).
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**Response format:**
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```json
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{
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"updatedAt": "2025-03-21T18:05:00Z",
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"enabled": true,
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"queue": {
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"depth": 7,
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"dueWithinSeconds": 2,
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"perType": {
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"pve": 4,
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"pbs": 2,
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"pmg": 1
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}
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},
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"deadLetter": {
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"count": 2,
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"tasks": [
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{
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"instance": "pbs-nas",
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"type": "pbs",
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"nextRun": "2025-03-21T18:25:00Z",
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"lastError": "connection timeout",
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"failures": 7
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}
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]
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},
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"breakers": [
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{
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"instance": "pve-core",
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"type": "pve",
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"state": "half_open",
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"failures": 3,
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"retryAt": "2025-03-21T18:05:45Z"
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}
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],
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"staleness": [
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{
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"instance": "pve-core",
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"type": "pve",
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"score": 0.12,
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"lastSuccess": "2025-03-21T18:04:50Z"
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}
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]
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}
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```
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**Field descriptions:**
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- `enabled`: Feature flag status
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- `queue.depth`: Total queued tasks
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- `queue.dueWithinSeconds`: Tasks due within 12 seconds
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- `queue.perType`: Distribution by instance type
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- `deadLetter.count`: Total dead-letter tasks
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- `deadLetter.tasks`: Up to 25 most recent dead-letter entries
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- `breakers`: Circuit breaker states (only non-default states shown)
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- `staleness`: Freshness scores per instance (0 = fresh, 1 = max stale)
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## Operational Guidance
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1. **Enable adaptive polling**: set `ADAPTIVE_POLLING_ENABLED=true` via UI or environment overrides, then restart hot-dev (`scripts/hot-dev.sh`).
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2. **Monitor metrics** to ensure queue depth and staleness remain within SLA. Configure alerting on `poll_staleness_seconds` and `poll_queue_depth`.
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3. **Review dead-letter logs** for persistent failures; resolve underlying connectivity or auth issues before re-enabling.
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3. **Inspect scheduler health** via API endpoint `/api/monitoring/scheduler/health` for circuit breaker trips and dead-letter queue status.
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4. **Review dead-letter logs** for persistent failures; resolve underlying connectivity or auth issues before re-enabling.
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## Rollout Plan
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@@ -123,6 +123,7 @@ func (r *Router) setupRoutes() {
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// API routes
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r.mux.HandleFunc("/api/health", r.handleHealth)
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r.mux.HandleFunc("/api/monitoring/scheduler/health", RequireAuth(r.config, r.handleSchedulerHealth))
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r.mux.HandleFunc("/api/state", r.handleState)
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r.mux.HandleFunc("/api/agents/docker/report", RequireAuth(r.config, r.dockerAgentHandlers.HandleReport))
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r.mux.HandleFunc("/api/agents/docker/commands/", RequireAuth(r.config, r.dockerAgentHandlers.HandleCommandAck))
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@@ -1610,6 +1611,24 @@ func (r *Router) handleHealth(w http.ResponseWriter, req *http.Request) {
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}
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}
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// handleSchedulerHealth returns scheduler health status for adaptive polling
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func (r *Router) handleSchedulerHealth(w http.ResponseWriter, req *http.Request) {
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if req.Method != http.MethodGet && req.Method != http.MethodHead {
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http.Error(w, "Method not allowed", http.StatusMethodNotAllowed)
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return
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}
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if r.monitor == nil {
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http.Error(w, "Monitor not available", http.StatusServiceUnavailable)
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return
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}
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health := r.monitor.SchedulerHealth()
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if err := utils.WriteJSONResponse(w, health); err != nil {
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log.Error().Err(err).Msg("Failed to write scheduler health response")
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}
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}
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// handleChangePassword handles password change requests
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func (r *Router) handleChangePassword(w http.ResponseWriter, req *http.Request) {
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if req.Method != http.MethodPost {
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@@ -106,3 +106,34 @@ func (b *circuitBreaker) trip(now time.Time) {
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b.retryInterval = delay
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b.openedAt = now
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}
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// BreakerSnapshot represents the current state of a circuit breaker.
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type BreakerSnapshot struct {
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Instance string `json:"instance"`
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Type string `json:"type"`
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State string `json:"state"`
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Failures int `json:"failures"`
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RetryAt time.Time `json:"retryAt,omitempty"`
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}
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// State returns a snapshot of the circuit breaker state for API exposure.
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func (b *circuitBreaker) State() (state string, failures int, retryAt time.Time) {
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b.mu.Lock()
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defer b.mu.Unlock()
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switch b.state {
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case breakerClosed:
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state = "closed"
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case breakerOpen:
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state = "open"
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retryAt = b.openedAt.Add(b.retryInterval)
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case breakerHalfOpen:
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state = "half_open"
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retryAt = b.lastAttempt.Add(b.halfOpenWindow)
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default:
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state = "unknown"
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}
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failures = b.failureCount
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return
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}
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@@ -2366,6 +2366,87 @@ func (m *Monitor) recordTaskResult(instanceType InstanceType, instance string, p
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}
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}
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// SchedulerHealthResponse contains complete scheduler health data for API exposure.
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type SchedulerHealthResponse struct {
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UpdatedAt time.Time `json:"updatedAt"`
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Enabled bool `json:"enabled"`
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Queue QueueSnapshot `json:"queue"`
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DeadLetter DeadLetterSnapshot `json:"deadLetter"`
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Breakers []BreakerSnapshot `json:"breakers,omitempty"`
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Staleness []StalenessSnapshot `json:"staleness,omitempty"`
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}
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// DeadLetterSnapshot contains dead-letter queue data.
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type DeadLetterSnapshot struct {
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Count int `json:"count"`
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Tasks []DeadLetterTask `json:"tasks"`
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}
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// SchedulerHealth returns a complete snapshot of scheduler health for API exposure.
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func (m *Monitor) SchedulerHealth() SchedulerHealthResponse {
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response := SchedulerHealthResponse{
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UpdatedAt: time.Now(),
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Enabled: m.config != nil && m.config.AdaptivePollingEnabled,
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}
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// Queue snapshot
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if m.taskQueue != nil {
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response.Queue = m.taskQueue.Snapshot()
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}
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// Dead-letter queue snapshot
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if m.deadLetterQueue != nil {
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deadLetterTasks := m.deadLetterQueue.PeekAll(25) // limit to top 25
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m.mu.RLock()
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for i := range deadLetterTasks {
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key := schedulerKey(InstanceType(deadLetterTasks[i].Type), deadLetterTasks[i].Instance)
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if outcome, ok := m.lastOutcome[key]; ok && outcome.err != nil {
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deadLetterTasks[i].LastError = outcome.err.Error()
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}
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if count, ok := m.failureCounts[key]; ok {
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deadLetterTasks[i].Failures = count
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}
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}
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m.mu.RUnlock()
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response.DeadLetter = DeadLetterSnapshot{
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Count: m.deadLetterQueue.Size(),
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Tasks: deadLetterTasks,
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}
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}
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// Circuit breaker snapshots
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m.mu.RLock()
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breakerSnapshots := make([]BreakerSnapshot, 0, len(m.circuitBreakers))
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for key, breaker := range m.circuitBreakers {
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state, failures, retryAt := breaker.State()
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// Only include breakers that are not in default closed state with 0 failures
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if state != "closed" || failures > 0 {
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// Parse instance type and name from key
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parts := strings.SplitN(key, "::", 2)
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instanceType, instanceName := "unknown", key
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if len(parts) == 2 {
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instanceType, instanceName = parts[0], parts[1]
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}
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breakerSnapshots = append(breakerSnapshots, BreakerSnapshot{
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Instance: instanceName,
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Type: instanceType,
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State: state,
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Failures: failures,
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RetryAt: retryAt,
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})
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}
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}
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m.mu.RUnlock()
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response.Breakers = breakerSnapshots
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// Staleness snapshots
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if m.stalenessTracker != nil {
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response.Staleness = m.stalenessTracker.Snapshot()
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}
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return response
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}
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func isTransientError(err error) bool {
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if err == nil {
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return true
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@@ -191,3 +191,35 @@ func (t *StalenessTracker) snapshot(instanceType InstanceType, instance string)
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func trackerKey(instanceType InstanceType, instance string) string {
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return string(instanceType) + "::" + instance
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}
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// StalenessSnapshot represents staleness data for a single instance.
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type StalenessSnapshot struct {
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Instance string `json:"instance"`
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Type string `json:"type"`
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Score float64 `json:"score"`
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LastSuccess time.Time `json:"lastSuccess"`
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LastError time.Time `json:"lastError,omitempty"`
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}
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// Snapshot returns a copy of all staleness data for API exposure.
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func (t *StalenessTracker) Snapshot() []StalenessSnapshot {
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if t == nil {
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return nil
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}
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t.mu.RLock()
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defer t.mu.RUnlock()
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result := make([]StalenessSnapshot, 0, len(t.entries))
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for _, entry := range t.entries {
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score, _ := t.StalenessScore(entry.InstanceType, entry.Instance)
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result = append(result, StalenessSnapshot{
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Instance: entry.Instance,
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Type: string(entry.InstanceType),
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Score: score,
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LastSuccess: entry.LastSuccess,
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LastError: entry.LastError,
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})
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}
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return result
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}
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@@ -152,3 +152,65 @@ func (q *TaskQueue) Size() int {
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defer q.mu.Unlock()
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return len(q.heap)
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}
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||||
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// QueueSnapshot represents the current state of the task queue.
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type QueueSnapshot struct {
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Depth int `json:"depth"`
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DueWithinSeconds int `json:"dueWithinSeconds"`
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PerType map[string]int `json:"perType"`
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}
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// Snapshot returns a snapshot of the queue state for API exposure.
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func (q *TaskQueue) Snapshot() QueueSnapshot {
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q.mu.Lock()
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defer q.mu.Unlock()
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snapshot := QueueSnapshot{
|
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Depth: len(q.heap),
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||||
PerType: make(map[string]int),
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}
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||||
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now := time.Now()
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for _, entry := range q.heap {
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typeStr := string(entry.task.InstanceType)
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snapshot.PerType[typeStr]++
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||||
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||||
if entry.task.NextRun.Sub(now) <= 12*time.Second {
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snapshot.DueWithinSeconds++
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||||
}
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||||
}
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||||
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||||
return snapshot
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}
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||||
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||||
// DeadLetterTask represents a task in the dead-letter queue.
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type DeadLetterTask struct {
|
||||
Instance string `json:"instance"`
|
||||
Type string `json:"type"`
|
||||
NextRun time.Time `json:"nextRun"`
|
||||
LastError string `json:"lastError,omitempty"`
|
||||
Failures int `json:"failures"`
|
||||
}
|
||||
|
||||
// PeekAll returns up to 'limit' dead-letter tasks for inspection.
|
||||
func (q *TaskQueue) PeekAll(limit int) []DeadLetterTask {
|
||||
q.mu.Lock()
|
||||
defer q.mu.Unlock()
|
||||
|
||||
if limit <= 0 || limit > len(q.heap) {
|
||||
limit = len(q.heap)
|
||||
}
|
||||
|
||||
result := make([]DeadLetterTask, 0, limit)
|
||||
for i := 0; i < limit && i < len(q.heap); i++ {
|
||||
entry := q.heap[i]
|
||||
result = append(result, DeadLetterTask{
|
||||
Instance: entry.task.InstanceName,
|
||||
Type: string(entry.task.InstanceType),
|
||||
NextRun: entry.task.NextRun,
|
||||
Failures: 0, // will be populated by Monitor
|
||||
})
|
||||
}
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user