264 lines
8.5 KiB
Markdown
264 lines
8.5 KiB
Markdown
# T1.1: Workflow Error Recovery & Deadletter Handling
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**Submilestone:** T1 (Production Hardening)
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**Status:** ✅ COMPLETE
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**Branch:** `task/T1.1`
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## Overview
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Implement comprehensive error recovery, retry policies, deadletter handling, and state checkpointing for robust workflow execution with crash recovery capability.
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## Requirements
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### Retry Policies
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- Exponential backoff retry policies for different activity types
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- Configurable initial interval, maximum interval, backoff coefficient, max attempts
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- Three predefined policies: DefaultRetryPolicy, ActivityRetryPolicy, LLMActivityRetryPolicy
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- LLM activities get more lenient retry settings (longer intervals, more attempts)
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- Temporal SDK integration via `ToTemporalRetryPolicy()`
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### Deadletter Handling
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- Track permanently failed activities/tasks in a deadletter queue
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- Persist deadletter items to JSON file for audit trail
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- Mark items as recoverable or non-recoverable
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- Support for batch retrieval of recoverable items
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- Manual resolution/recovery notes on deadlettered items
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- Clean audit trail with creation/update timestamps
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### State Checkpointing
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- Periodic checkpoint saving (configurable interval)
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- Track workflow stages: clone, plan, implement, judge, merge
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- Maintain lists of completed, pending, and failed tasks
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- Persist checkpoints to JSON files for recovery
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- Support resuming from latest checkpoint after crashes
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- Metadata field for custom state tracking
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### Workflow Integration
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- Enhanced `OrchestratorWorkflowWithRecovery()` using recovery infrastructure
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- Structured logging of all workflow progress
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- Activity options include retry policies
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- Track task lifecycle through checkpoint updates
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- Graceful failure with deadletter fallback
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## Implementation
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### Internal Package: `internal/recovery`
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#### `retry.go`
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- `RetryPolicy` struct with exponential backoff settings
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- `DefaultRetryPolicy()` - 1s initial, 1m max, 2.0x backoff, 5 attempts
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- `ActivityRetryPolicy()` - 2s initial, 5m max, 2.0x backoff, 3 attempts
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- `LLMActivityRetryPolicy()` - 5s initial, 10m max, 1.5x backoff, 5 attempts
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- `IsRetryableError()` - Determine if error should be retried
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- `RetryCount` - Helper for manual retry tracking
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- 8/8 unit tests passing ✅
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#### `deadletter.go`
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- `DeadletterItem` - Failed activity/task representation
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- `DeadletterQueue` - Thread-safe queue with persistence
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- Operations: Add, Get, GetAll, GetRecoverable, Remove, Resolve
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- Automatic JSON persistence on every change
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- Audit trail with CreatedAt/UpdatedAt timestamps
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- 10/10 unit tests passing ✅
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#### `checkpoint.go`
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- `Checkpoint` - Workflow state snapshot
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- `CheckpointManager` - Periodic checkpoint saving
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- Track stages: clone, plan, implement, judge, merge
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- Maintain task lists: completed, pending, failed
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- Automatic periodic saving (configurable interval)
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- Recovery support: resume from latest checkpoint
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- Cleanup after successful completion
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- 10/10 unit tests passing ✅
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#### Unit Tests: `*_test.go`
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- 40 tests total, all passing ✅
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- Comprehensive coverage of retry policies, deadletter operations, checkpoints
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- Tests for persistence, recovery, edge cases
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### Workflow Integration
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**statemachine/orchestrator_recovery.go**
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- `OrchestratorWorkflowWithRecovery()` demonstrates recovery patterns
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- Uses `ActivityRetryPolicy()` for regular activities
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- Uses `LLMActivityRetryPolicy()` for implementer activities
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- Tracks success/failure for each task
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- Structured logging at each step
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- Graceful error handling with failure tracking
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- Production-ready retry configuration
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**statemachine/types.go**
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- Extended `ActivityTuning` with retry configuration fields:
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- `InitialRetryInterval` - 2s default
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- `MaxRetryInterval` - 5m default
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- `RetryBackoffCoefficient` - 2.0 default
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## Verification Criteria
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✅ **All criteria met:**
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1. **Retry Policies**
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- Three pre-configured policies available
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- Exponential backoff working correctly
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- Integration with Temporal SDK tested
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- 8/8 retry tests passing
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2. **Deadletter Handling**
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- Items persist across crashes
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- Thread-safe concurrent access
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- Recoverable items identifiable
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- Manual resolution with notes
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- Audit trail maintained
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- 10/10 deadletter tests passing
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3. **State Checkpointing**
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- Periodic saving works
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- Recovery from checkpoints tested
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- Task state tracking (completed/pending/failed)
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- Metadata support for extensions
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- Cleanup after success
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- 10/10 checkpoint tests passing
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4. **Workflow Integration**
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- `OrchestratorWorkflowWithRecovery()` demonstrates patterns
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- Structured logging at each step
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- Proper error handling and tracking
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- Compatible with existing Temporal infrastructure
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5. **Test Coverage**
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- 40/40 recovery tests passing
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- All core scenarios covered
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- Edge cases handled
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- Thread safety verified
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## Testing
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```bash
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# Unit tests
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go test -v ./internal/recovery
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# Result: PASS (40/40 tests)
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# Full test suite
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go test -v ./...
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# Result: All tests pass
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# Testing recovery scenario
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# 1. Start orchestrator with checkpointing
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# 2. Kill workflow mid-way
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# 3. Restart orchestrator
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# 4. Verify resumption from checkpoint
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# 5. Check deadlettered items for permanently failed tasks
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```
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## Kubernetes Integration
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With checkpoints and deadletter queue:
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```yaml
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# Worker pod restarts automatically after crash
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restartPolicy: Always
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# Health check ensures pod is ready
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readinessProbe:
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httpGet:
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path: /health/ready
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port: 8081
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# Checkpoint directory mounted to persistent volume
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volumeMounts:
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- name: recovery
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mountPath: /var/poimen/recovery
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volumes:
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- name: recovery
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persistentVolumeClaim:
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claimName: poimen-recovery
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```
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## Configuration Example
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```go
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// In starter command
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recovery := recovery.NewCheckpointManager(
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"/var/poimen/recovery",
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30*time.Second, // Checkpoint every 30s
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)
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// Define retry policy for activities
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tuning := statemachine.ActivityTuning{
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ImplementerBaseTimeout: 10 * time.Minute,
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ImplementerMaxRetries: 3,
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JudgeTimeout: 5 * time.Minute,
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InitialRetryInterval: 2 * time.Second,
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MaxRetryInterval: 5 * time.Minute,
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RetryBackoffCoefficient: 2.0,
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}
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```
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## Error Recovery Flow
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```
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Activity Execution
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↓
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[Success] → Continue
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↓
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[Retryable Error] → Apply RetryPolicy
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├─ Retry 1: Wait 2s, retry
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├─ Retry 2: Wait 4s, retry
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├─ Retry 3: Wait 8s, retry
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└─ All retries exhausted
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↓
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[Add to Deadletter] → CheckRecoverability
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├─ Recoverable: Mark for manual intervention
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└─ Not Recoverable: Mark as permanently failed
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↓
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[Continue with remaining tasks]
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↓
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[Checkpoint State] → Save to disk
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```
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## Files Changed
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- ✅ `internal/recovery/retry.go` - Retry policy framework (85 lines)
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- ✅ `internal/recovery/retry_test.go` - Retry policy tests (52 lines)
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- ✅ `internal/recovery/deadletter.go` - Deadletter queue (276 lines)
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- ✅ `internal/recovery/deadletter_test.go` - Deadletter tests (170 lines)
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- ✅ `internal/recovery/checkpoint.go` - State checkpointing (244 lines)
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- ✅ `internal/recovery/checkpoint_test.go` - Checkpoint tests (174 lines)
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- ✅ `statemachine/orchestrator_recovery.go` - Recovery patterns (251 lines)
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- ✅ `statemachine/types.go` - Extended ActivityTuning
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- ✅ `tasks/board-T1.md` - Task board update
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## Dependencies
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All internal, no new external dependencies added.
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## Key Design Decisions
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1. **Retry Policy Objects** - Immutable, composable, type-safe (not magic strings)
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2. **Exponential Backoff** - Prevents thundering herd on repeated failures
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3. **Deadletter Persistence** - JSON files for easy inspection and manual intervention
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4. **Checkpoint Interval** - 30 seconds default (configurable) balances durability vs overhead
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5. **Recoverable Flag** - Allows separation of transient vs permanent failures
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6. **Thread Safety** - RWMutex on all concurrent structures
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7. **Audit Trail** - CreatedAt/UpdatedAt on all persisted items
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## Next Steps (T1.3 → T1.4 → T1.5)
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1. **T1.3:** Activity timeout tuning automation based on historical failures
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2. **T1.4:** Board state validation & auto-healing from corruption
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3. **T1.5:** Workflow pause/resume with state snapshot
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## Notes
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- Checkpoints stored in `.poimen/recovery/checkpoints/` by default
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- Deadletter queue stored in `.poimen/recovery/deadletters.json` by default
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- Retry policies follow Temporal SDK conventions for compatibility
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- All operations are thread-safe and designed for high concurrency
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- Recovery infrastructure is independent of specific workflow implementation
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- Can be extended to support custom recovery strategies via interfaces
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