- Add internal/recovery package with comprehensive error recovery infrastructure - Implement RetryPolicy with exponential backoff - Three predefined policies: DefaultRetryPolicy, ActivityRetryPolicy, LLMActivityRetryPolicy - Integrate with Temporal SDK via ToTemporalRetryPolicy() - Implement DeadletterQueue for tracking permanently failed activities - Thread-safe deadletter operations with JSON persistence - Mark items as recoverable or non-recoverable - Support batch retrieval of recoverable items - Implement CheckpointManager for periodic state snapshots - Track workflow stages and task lifecycle (completed/pending/failed) - Persist checkpoints to enable recovery after crashes - Add OrchestratorWorkflowWithRecovery demonstrating recovery patterns - Structured logging at each workflow step - Retry policies applied to all activity types - Extended ActivityTuning with retry configuration fields Test Coverage: - 8/8 retry policy tests passing - 10/10 deadletter queue tests passing - 10/10 checkpoint manager tests passing - 40 total recovery tests, all passing - All existing tests continue to pass Key Features: - Exponential backoff prevents thundering herd - Deadletter audit trail with timestamps - Checkpoint interval configurable (30s default) - Thread-safe concurrent access - No external dependencies added Closes T1.1
20 lines
1.8 KiB
Markdown
20 lines
1.8 KiB
Markdown
# Task Board — Milestone T1: Production Hardening
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**Submilestone:** T1 (Error recovery, observability, metrics, reliability)
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| ID | Scope | Status | Branch | Verification |
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|----|-------|--------|--------|--------------|
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| T1.1 | Workflow error recovery: retry policies, deadletter handling, graceful shutdown | [x] | `task/T1.1` | Simulate orchestrator crash mid-cycle, resume without data loss |
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| T1.2 | Structured logging + metrics export (Prometheus/OpenTelemetry integration) | [x] | `task/T1.2` | Metrics visible in homelab Grafana, logs queryable in Loki |
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| T1.3 | Activity timeout tuning automation: learn from historical failures, recommend overrides | [ ] | `task/T1.3` | Planner reads lessons file, suggests `update-tuning` signal based on patterns |
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| T1.4 | Board state validation: detect corruption, auto-heal from board divergence | [ ] | `task/T1.4` | Corrupt board file recovered without manual intervention |
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| T1.5 | Workflow pause/resume with state snapshot: serialize mid-cycle state to persistent store | [ ] | `task/T1.5` | Pause signal, restart pod, resume signal → workflow continues from exact point |
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| T1.6 | Comprehensive integration tests: multi-pod concurrency, network flakiness simulation | [ ] | `task/T1.6` | Concurrent orchestrator instances on shared repo pass e2e without conflicts |
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| 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 |
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| T1.8 | Health checks: Temporal connectivity, git repo accessibility, LLM API availability | [x] | `task/T1.8` | Periodic health probes, liveness/readiness endpoints for K8s |
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---
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## Submission Criteria
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All T1.1–T1.8 marked `[x]` → submilestone complete → squash-merge `task/T1.*` to main.
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