Test
37d7aea5a7
- Add internal/pause package for pause/resume orchestration - Implement WorkflowSnapshot for complete state serialization - Implement SnapshotManager for snapshot storage and recovery - Implement PauseHandler for pause/resume signal handling - Implement PauseSignal and ResumeSignal types - Implement PauseState for tracking pause status Snapshot Features: - Capture complete workflow state (tasks, metrics, config) - Persist to JSON files for recovery after pod restart - Track paused_at and resumed_at timestamps - Support snapshot cleanup and batch removal - Load/save from disk with persistence layer Pause Handling: - Accept pause signals with reason and grace period - Save current state before pausing - Block workflow execution during pause - Support multiple concurrent paused workflows - Channel-based signal reception (Temporal-compatible) Resume Handling: - Accept resume signals with reason - Restore workflow state from snapshots - Continue execution from exact pause point - Update timestamps on resumption - Enable recovery after pod restarts Signal Management: - Non-blocking signal reception with timeout - WaitForPauseOrResume() for blocking operations - ConfigurableWait duration - Error handling for invalid transitions Analytics: - GetPauseStats() for pause/resume metrics - GetSnapshotStats() for snapshot inventory - Timestamp tracking (paused, resumed) - Multi-workflow state aggregation Test Coverage: - 16 snapshot tests (creation, persistence, cleanup) - 18 handler tests (signals, state, snapshots) - 34 total pause/resume tests, all passing - Edge cases: concurrent workflows, nil signals, timeouts - State transition verification Key Design: - Separate Snapshot Manager (storage) and Pause Handler (orchestration) - JSON persistence for debuggability - Thread-safe with RWMutex - Compatible with Temporal signal patterns - Non-destructive pause (snapshot before blocking) Closes T1.5
20 lines
1.8 KiB
Markdown
20 lines
1.8 KiB
Markdown
# Task Board — Milestone T1: Production Hardening
|
||
|
||
**Submilestone:** T1 (Error recovery, observability, metrics, reliability)
|
||
|
||
| ID | Scope | Status | Branch | Verification |
|
||
|----|-------|--------|--------|--------------|
|
||
| T1.1 | Workflow error recovery: retry policies, deadletter handling, graceful shutdown | [x] | `task/T1.1` | Simulate orchestrator crash mid-cycle, resume without data loss |
|
||
| T1.2 | Structured logging + metrics export (Prometheus/OpenTelemetry integration) | [x] | `task/T1.2` | Metrics visible in homelab Grafana, logs queryable in Loki |
|
||
| T1.3 | Activity timeout tuning automation: learn from historical failures, recommend overrides | [x] | `task/T1.3` | Planner reads lessons file, suggests `update-tuning` signal based on patterns |
|
||
| T1.4 | Board state validation: detect corruption, auto-heal from board divergence | [x] | `task/T1.4` | Corrupt board file recovered without manual intervention |
|
||
| T1.5 | Workflow pause/resume with state snapshot: serialize mid-cycle state to persistent store | [x] | `task/T1.5` | Pause signal, restart pod, resume signal → workflow continues from exact point |
|
||
| T1.6 | Comprehensive integration tests: multi-pod concurrency, network flakiness simulation | [ ] | `task/T1.6` | Concurrent orchestrator instances on shared repo pass e2e without conflicts |
|
||
| T1.7 | Audit logging: all planner decisions, judge verdicts, implementer changes logged immutably | [ ] | `task/T1.7` | Audit log persists across workflow restarts, queryable by task/timestamp |
|
||
| T1.8 | Health checks: Temporal connectivity, git repo accessibility, LLM API availability | [x] | `task/T1.8` | Periodic health probes, liveness/readiness endpoints for K8s |
|
||
|
||
---
|
||
|
||
## Submission Criteria
|
||
All T1.1–T1.8 marked `[x]` → submilestone complete → squash-merge `task/T1.*` to main.
|