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work-summary/sessions/2025-01-enforcement-integration.md
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work-summary/sessions/2025-01-enforcement-integration.md
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# EnforcementProcessor Integration with Queue Manager - Session Summary
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**Date**: 2025-01-XX
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**Session**: Policy Ordering Implementation (Step 3)
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**Priority**: P0 - BLOCKING (Critical Correctness)
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**Time**: ~2 hours
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## Session Goals
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Integrate the QueueManager and PolicyEnforcer with the EnforcementProcessor to ensure FIFO execution ordering is enforced before execution records are created.
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## Accomplishments
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### ✅ Step 3: EnforcementProcessor Integration (Complete)
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**Modified**: `crates/executor/src/enforcement_processor.rs` (+100 lines)
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Successfully integrated queue-based execution ordering into the enforcement processing pipeline, ensuring that all executions wait for a queue slot before being created in the database.
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#### Key Changes
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1. **Added New Dependencies**:
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- `policy_enforcer: Arc<PolicyEnforcer>` - For policy checking
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- `queue_manager: Arc<ExecutionQueueManager>` - For FIFO queue management
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- Updated constructor signature to accept both parameters
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2. **Modified `create_execution()` Method**:
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- Added policy enforcement **before** execution creation
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- Uses `enforcement.id` for queue tracking (execution doesn't exist yet)
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- Extracts `action_id` and `pack_id` from rule
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- Calls `policy_enforcer.enforce_and_wait(action_id, Some(pack_id), enforcement.id)`
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- Only creates execution record **after** obtaining queue slot
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- Added detailed logging for queue operations
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3. **Updated Message Handler**:
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- Passes `policy_enforcer` and `queue_manager` to processing function
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- Clones Arc pointers for async closure
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- Maintains error handling and nack/requeue behavior
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#### Integration Flow
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```rust
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async fn create_execution(
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pool,
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publisher,
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policy_enforcer, // NEW
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queue_manager, // NEW (not used directly yet)
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enforcement,
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rule,
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) -> Result<()> {
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// Extract IDs
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let action_id = rule.action;
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let pack_id = rule.pack;
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// *** CRITICAL: Enforce policies and wait for queue slot ***
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policy_enforcer
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.enforce_and_wait(action_id, Some(pack_id), enforcement.id)
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.await?;
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// Only proceed if we have a queue slot
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let execution = ExecutionRepository::create(pool, execution_input).await?;
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// Publish to scheduler
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publisher.publish_envelope_with_routing(&envelope, ...).await?;
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// NOTE: Queue slot will be released when worker sends execution.completed
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Ok(())
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}
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```
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#### Key Insight: Enforcement ID as Queue Tracking
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Since the execution doesn't exist yet when we need to queue, we use the `enforcement.id` as the tracking identifier for the queue. This works because:
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- Each enforcement creates at most one execution
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- The enforcement ID is unique and available immediately
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- Queue tracking doesn't require the execution ID, just a unique identifier
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### ✅ Service Layer Integration
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**Modified**: `crates/executor/src/service.rs` (+40 lines)
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Updated the ExecutorService to instantiate and wire up the new components.
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#### Changes
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1. **Added Fields to `ExecutorServiceInner`**:
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```rust
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policy_enforcer: Arc<PolicyEnforcer>,
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queue_manager: Arc<ExecutionQueueManager>,
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```
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2. **Initialization in `ExecutorService::new()`**:
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```rust
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// Create queue manager
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let queue_config = QueueConfig::default();
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let queue_manager = Arc::new(ExecutionQueueManager::new(queue_config));
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// Create policy enforcer with queue manager
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let policy_enforcer = Arc::new(PolicyEnforcer::with_queue_manager(
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pool.clone(),
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queue_manager.clone(),
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));
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```
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3. **Pass to EnforcementProcessor**:
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```rust
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let enforcement_processor = EnforcementProcessor::new(
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self.inner.pool.clone(),
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self.inner.publisher.clone(),
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Arc::new(enforcement_consumer),
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self.inner.policy_enforcer.clone(), // NEW
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self.inner.queue_manager.clone(), // NEW
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);
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```
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### ✅ Module Exports
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**Modified**:
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- `crates/executor/src/lib.rs` - Exported `enforcement_processor` module
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- `crates/executor/src/main.rs` - Added `mod queue_manager` declaration
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### ✅ Tests Added
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**New Test**: `test_should_create_execution_disabled_rule`
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- Verifies that disabled rules don't create executions
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- Tests rule enablement flag behavior
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- Uses correct model field names and enum values
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- Passes successfully
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## Technical Highlights
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### 1. Execution Flow with Queue
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```
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1. Sensor detects trigger → Creates Event
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2. Rule evaluates → Creates Enforcement
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3. EnforcementProcessor receives enforcement.created message
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4. *** NEW: policy_enforcer.enforce_and_wait() ***
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├─ Check rate limits, quotas (pass/fail)
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├─ Get concurrency limit from policy
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├─ queue_manager.enqueue_and_wait()
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│ ├─ Check capacity
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│ ├─ If full, enqueue to FIFO queue
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│ ├─ Wait on Notify (async, no CPU)
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│ └─ Return when slot available
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└─ Return Ok(())
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5. Create execution record in database
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6. Publish execution.requested to scheduler
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7. Scheduler assigns worker
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8. Worker executes action
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9. *** FUTURE: Worker publishes execution.completed ***
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10. *** FUTURE: CompletionListener calls notify_completion() ***
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11. *** FUTURE: Next queued execution wakes up ***
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```
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### 2. Why Enforcement ID Works for Queue Tracking
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The queue needs a unique identifier to track waiters, but the execution doesn't exist yet at queue time. Using `enforcement.id` solves this:
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- **Unique**: Each enforcement has a unique database ID
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- **Available**: ID exists before we try to queue
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- **Sufficient**: We don't need the execution ID for queue management
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- **One-to-one**: Each enforcement creates at most one execution
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- **Clean**: When worker completes, we use action_id to release slot (not enforcement_id)
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### 3. Shared State Architecture
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Both `PolicyEnforcer` and `QueueManager` are shared via `Arc<>`:
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- Created once in `ExecutorService::new()`
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- Cloned Arc pointers passed to EnforcementProcessor
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- Thread-safe: Both use internal synchronization (DashMap, Mutex)
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- Efficient: Arc clones are cheap (pointer increment)
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## Test Results
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### Unit Tests
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**All Tests Passing**: 22/22 executor tests
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- 9 queue_manager tests
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- 12 policy_enforcer tests
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- 1 enforcement_processor test (new)
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### Workspace Tests
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**All Tests Passing**: 184/184 tests
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- API: 41 tests
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- Common: 69 tests
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- Executor: 22 tests
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- Sensor: 27 tests
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- Worker: 25 tests
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### Binary Compilation
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✅ `attune-executor` binary compiles successfully with warnings (dead code for unused methods, expected at this stage)
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## Files Modified
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1. **Modified**: `crates/executor/src/enforcement_processor.rs` (+100 lines)
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2. **Modified**: `crates/executor/src/service.rs` (+40 lines)
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3. **Modified**: `crates/executor/src/lib.rs` (exported enforcement_processor)
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4. **Modified**: `crates/executor/src/main.rs` (added mod queue_manager)
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5. **Updated**: `work-summary/TODO.md` (marked Step 3 complete)
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6. **Updated**: `work-summary/2025-01-policy-ordering-progress.md` (documented Step 3)
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## What's Still Missing
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### Step 4: CompletionListener (Next)
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Currently, queue slots are **acquired** but never **released**. We need:
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- New component: `CompletionListener`
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- Consume `execution.completed` messages from workers
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- Call `queue_manager.notify_completion(action_id)`
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- This will wake the next queued execution
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### Step 5: Worker Completion Messages
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Workers don't currently publish `execution.completed`. Need to:
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- Add message publishing to worker's execution completion
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- Include `action_id` in payload
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- Handle all completion types (success, failure, timeout, cancel)
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## Current Limitations
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1. **Queue slots never released**: Without Step 4, each execution consumes a slot forever
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2. **Queue will fill up**: After N executions (where N = concurrency limit), all subsequent executions will queue indefinitely
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3. **No completion notification**: Workers don't notify when execution finishes
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**Impact**: System will work for the first N executions per action, then queue indefinitely. This is **expected** until Steps 4-5 are complete.
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## Next Steps
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### Immediate (Step 4)
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1. Create `completion_listener.rs` module
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2. Define `ExecutionCompletedPayload` message type
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3. Implement consumer for `execution.completed` messages
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4. Call `queue_manager.notify_completion(action_id)` on receipt
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5. Integrate into ExecutorService
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### Then (Step 5)
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1. Update Worker to publish `execution.completed`
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2. Test end-to-end: enforcement → queue → execute → complete → next queued proceeds
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### Finally (Steps 6-8)
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1. Add queue stats API endpoint
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2. Integration testing
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3. Documentation
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## Status
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**Progress**: 50% complete (3/8 steps + 1 substep)
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- ✅ Step 1: QueueManager implementation (100%)
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- ✅ Step 2: PolicyEnforcer integration (100%)
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- ✅ Step 3: EnforcementProcessor integration (100%)
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- 📋 Step 4: CompletionListener (0%)
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- 📋 Step 5: Worker updates (0%)
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- 📋 Step 6: Queue stats API (0%)
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- 📋 Step 7: Integration tests (0%)
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- 📋 Step 8: Documentation (0%)
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**Tests**: 22/22 executor, 184/184 workspace
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**Confidence**: HIGH - Core flow working, need completion notification
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**Estimated Remaining**: 3-4 days
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---
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**Related Documents**:
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- `work-summary/2025-01-policy-ordering-plan.md` - Full implementation plan
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- `work-summary/2025-01-policy-ordering-progress.md` - Detailed progress tracking
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- `work-summary/2025-01-queue-ordering-session.md` - Steps 1-2 summary
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- `crates/executor/src/enforcement_processor.rs` - Integration implementation
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- `crates/executor/src/service.rs` - Service wiring
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