# Work Summary: Execution Management API Implementation

**Date:** January 13, 2026  
**Phase:** Phase 2.7 - API Service  
**Status:** ✅ Complete

## Overview

Implemented the Execution Management API endpoints for the Attune automation platform. This API provides critical observability into the automation system, allowing users to monitor action executions, track their status, analyze results, and understand system activity in real-time.

Executions are the runtime instances of actions - when a rule triggers and an action needs to be performed, an execution record is created to track the entire lifecycle from request to completion (or failure).

## What Was Accomplished

### 1. Execution DTOs Created
**File:** `crates/api/src/dto/execution.rs`

- ✅ `ExecutionResponse` - Full execution details response
  - Complete execution information with all relationships
  - Includes action, enforcement, parent, executor IDs
  - Status, config, and result fields
  - Timestamps for lifecycle tracking
  
- ✅ `ExecutionSummary` - Simplified response for list endpoints
  - Lightweight version for efficient list queries
  - Essential fields only (id, action_ref, status, timestamps)
  - Optimized for high-volume queries
  
- ✅ `ExecutionQueryParams` - Query parameters for filtering
  - Status filter (completed, failed, running, etc.)
  - Action reference filter
  - Enforcement ID filter
  - Parent execution ID filter (for workflows)
  - Pagination support (page, per_page)
  
- ✅ Model conversions - From domain models to DTOs
- ✅ Unit tests for query parameter handling
- ✅ Default values for pagination

### 2. Execution API Routes Implemented
**File:** `crates/api/src/routes/executions.rs`

Implemented comprehensive query and monitoring endpoints:

**Core Query Endpoints:**
- ✅ `GET /api/v1/executions` - List all executions with filters
- ✅ `GET /api/v1/executions/:id` - Get execution details by ID
- ✅ `GET /api/v1/executions/stats` - Get aggregate statistics
- ✅ `GET /api/v1/executions/status/:status` - List by status
- ✅ `GET /api/v1/executions/enforcement/:enforcement_id` - List by enforcement

### 3. Key Features

**Query Filtering:**
- Filter by execution status (10 status values supported)
- Filter by action reference
- Filter by enforcement ID (trace rule executions)
- Filter by parent execution ID (workflow chains)
- Combine multiple filters
- Pagination for all list queries

**Execution Statuses Supported:**
- `requested` - Execution requested
- `scheduling` - Finding worker
- `scheduled` - Queued for execution
- `running` - Currently executing
- `completed` - Finished successfully
- `failed` - Error occurred
- `canceling` - Being cancelled
- `cancelled` - Cancelled
- `timeout` - Exceeded time limit
- `abandoned` - Worker lost connection

**Statistics & Monitoring:**
- Total execution count
- Count by status (completed, failed, running, pending, etc.)
- Aggregate statistics endpoint
- Real-time status queries

**Observability:**
- Trace rule enforcements to their executions
- Follow execution chains (parent/child relationships)
- Monitor active executions
- Debug failed executions
- Analyze action performance

**Integration:**
- Integrated with ExecutionRepository for database operations
- Status-based querying via repository methods
- Enforcement-based querying
- Proper error handling and validation

**Code Quality:**
- Follows existing API patterns from Pack, Action, and Rule endpoints
- Comprehensive error messages
- Type-safe operations
- Unit test structure in place
- Clean separation of concerns

### 4. Documentation
**File:** `docs/api-executions.md`

Created comprehensive API documentation including:
- ✅ Complete endpoint reference (5 main endpoints)
- ✅ Request/response examples with realistic data
- ✅ Data model descriptions with all fields
- ✅ All 10 execution status values explained
- ✅ Execution lifecycle and state transitions
- ✅ Query patterns and filtering examples
- ✅ Use cases (monitoring, debugging, tracing)
- ✅ Best practices for polling, monitoring, and debugging
- ✅ Integration examples (JavaScript, Python)
- ✅ cURL examples for all operations
- ✅ Error response documentation
- ✅ Limitations and future enhancements
- ✅ Performance considerations

### 5. Integration
**Files Modified:**
- `crates/api/src/dto/mod.rs` - Added execution module exports
- `crates/api/src/routes/mod.rs` - Added executions route module
- `crates/api/src/server.rs` - Wired up execution routes in API router

### 6. Build Verification
- ✅ Full cargo build successful
- ✅ No compilation errors
- ✅ Only unused import warnings (expected for in-progress features)
- ✅ All tests pass

## Technical Details

### Repository Integration
The API leverages the existing `ExecutionRepository` implementation:
- `find_by_id()` - Lookup by numeric ID
- `list()` - Get all executions (limited to 1000 most recent)
- `find_by_status()` - Find executions by status
- `find_by_enforcement()` - Find executions for an enforcement

### Query Implementation
- **Database queries** for status and enforcement filters
- **Client-side filtering** for action_ref and parent (could be optimized)
- **In-memory pagination** after filtering
- **Newest-first ordering** (created DESC)

### URL Structure
```
/api/v1/executions                           # List with filters
/api/v1/executions/stats                     # Statistics
/api/v1/executions/:id                       # Get by ID
/api/v1/executions/status/:status            # List by status
/api/v1/executions/enforcement/:id           # List by enforcement
```

### Execution Lifecycle

```
requested → scheduling → scheduled → running → completed
                                     ↓
                                   failed
                                     ↓
                                   timeout
                                     ↓
                                   abandoned
                                     ↓
                                   cancelled
```

### Statistics Calculation
The `/api/v1/executions/stats` endpoint calculates:
- Total executions (recent 1000)
- Completed count
- Failed count
- Running count
- Pending count (requested + scheduling + scheduled)
- Cancelled count
- Timeout count
- Abandoned count

## API Examples

### List All Executions
```bash
curl http://localhost:3000/api/v1/executions
```

### Filter by Status
```bash
# Get all running executions
curl http://localhost:3000/api/v1/executions/status/running

# Get all failed executions
curl http://localhost:3000/api/v1/executions/status/failed
```

### Get Execution Details
```bash
curl http://localhost:3000/api/v1/executions/123
```

### Get Statistics
```bash
curl http://localhost:3000/api/v1/executions/stats
```

### Advanced Filtering
```bash
# Filter by multiple criteria
curl "http://localhost:3000/api/v1/executions?status=completed&action_ref=slack.send_message&page=1&per_page=50"
```

### Trace Rule Executions
```bash
# Get all executions triggered by enforcement 42
curl http://localhost:3000/api/v1/executions/enforcement/42
```

## Files Created/Modified

### New Files
1. `crates/api/src/dto/execution.rs` - Execution DTOs (206 lines)
2. `crates/api/src/routes/executions.rs` - Execution routes (227 lines)
3. `docs/api-executions.md` - API documentation (673 lines)

### Modified Files
1. `crates/api/src/dto/mod.rs` - Added execution exports
2. `crates/api/src/routes/mod.rs` - Added executions module
3. `crates/api/src/server.rs` - Wired up execution routes
4. `work-summary/TODO.md` - Marked Phase 2.7 as complete

## Use Cases Enabled

With this API, users can now:
- ✅ Monitor active executions in real-time
- ✅ Debug failed executions with full context
- ✅ Trace rule enforcements to their action executions
- ✅ Analyze action performance and success rates
- ✅ Track execution chains for complex workflows
- ✅ Get aggregate statistics for system health
- ✅ Query execution history with flexible filtering
- ✅ Build monitoring dashboards
- ✅ Set up alerting based on execution status
- ✅ Investigate timeout and abandonment issues

## Next Steps

With Execution Management API complete, the recommended next priorities are:

### Immediate (Phase 2 - API Service)
1. **Trigger & Sensor Management API (Phase 2.5)** - HIGH PRIORITY
   - Complete the trigger-rule-action-execution chain
   - Enable full end-to-end automation workflows
   - Event source configuration
   - Sensor management

2. **Inquiry Management API (Phase 2.8)** - MEDIUM
   - Human-in-the-loop workflows
   - Approval processes
   - Interactive executions
   - Execution pausing/resumption

3. **Event & Enforcement Query API (Phase 2.9)** - MEDIUM
   - Query events that triggered rules
   - Query rule enforcements
   - Complete observability picture

### After Phase 2 Complete
4. **Message Queue Infrastructure (Phase 3)** - HIGH PRIORITY
   - RabbitMQ or Redis Pub/Sub setup
   - Event queue for triggers
   - Execution queue for actions
   - Service communication backbone
   - Required before executor/worker services

5. **Executor Service (Phase 4)** - HIGH PRIORITY
   - Rule evaluation engine
   - Action execution orchestration
   - Enforcement creation
   - The automation "brain"

## Testing Notes

- Unit tests for DTO query parameters are in place
- Route structure test passes
- Integration testing should be added when test database is available
- Manual testing recommended with:
  - Valid execution queries
  - Status filtering
  - Enforcement tracing
  - Pagination behavior
  - Statistics calculation
  - Various filter combinations

## Dependencies

The Execution API depends on:
- ✅ ExecutionRepository (database operations)
- ✅ Action API (for action references in docs)
- ✅ Rule API (for enforcement tracing context)
- ✅ Enforcement model (for relationships)

The Execution API enables:
- ⏳ Monitoring dashboards
- ⏳ Alerting systems
- ⏳ Performance analytics
- ⏳ Debugging workflows

## Observations & Notes

1. **Read-Only API:** This is intentionally a read-only/query API. Executions are created by the executor service when rules trigger, not directly via API.

2. **No Cancellation Yet:** The cancellation endpoint (`POST /executions/:id/cancel`) is deferred until the executor service is implemented, which will handle the actual cancellation logic.

3. **Limited History:** Repository currently returns the 1000 most recent executions. For production, consider:
   - Database-level pagination with proper indexes
   - Archival strategy for old executions
   - Time-based partitioning

4. **Client-Side Filtering:** Some filters (action_ref, parent) are applied in memory. For better performance with large datasets:
   - Move filters to SQL queries
   - Add database indexes
   - Implement proper query builders

5. **Statistics Scope:** Statistics are calculated from the most recent 1000 executions. For true aggregate stats:
   - Use COUNT queries on database
   - Implement caching
   - Consider time-based aggregation

6. **Status Parsing:** Status values are parsed from URL path strings. Could be improved with proper enum deserialization.

7. **Execution Result Format:** The `result` field is flexible JSON. Future enhancement could standardize result schemas.

8. **Workflow Tracking:** Parent/child execution relationships enable workflow tracing, but no dedicated endpoint yet for recursive tree queries.

## Performance Considerations

1. **Pagination:** All list endpoints support pagination to prevent overwhelming responses
2. **Filtering:** Database-level filtering for status and enforcement
3. **Limit Cap:** Max 100 items per page to prevent abuse
4. **Newest First:** Results ordered by creation time (newest first) by default
5. **Statistics Caching:** Consider caching stats endpoint results (high read, low write)

## Security Considerations

1. **Read-Only Access:** No mutation operations prevent accidental data modification
2. **No Sensitive Data Exposure:** Config and result fields may contain secrets - consider field masking
3. **Rate Limiting:** Consider implementing rate limits for stats endpoint
4. **Authentication:** Currently no auth required - should be added in Phase 2.2 completion

## Success Metrics

- ✅ All planned query endpoints implemented (5 endpoints)
- ✅ Comprehensive filtering capabilities
- ✅ Status-based querying for all 10 status values
- ✅ Statistics endpoint for monitoring
- ✅ Proper pagination for all lists
- ✅ Clean integration with existing code
- ✅ Comprehensive documentation with examples
- ✅ Builds without errors
- ✅ Follows established patterns
- ✅ Ready for integration testing
- ✅ Enables key observability use cases

## Conclusion

Phase 2.7 (Execution Management API) is **complete** and ready for use. The implementation provides essential observability capabilities for the Attune automation platform, enabling users to monitor, debug, and analyze action executions effectively.

The read-only/query nature of this API is appropriate - it's designed for monitoring and observability, not for creating or modifying executions (which is the executor service's responsibility).

**Status:** ✅ **COMPLETE**  
**Quality:** Production-ready pending integration testing  
**Blockers:** None  
**Ready for:** Phase 2.5 (Trigger/Sensor API) or Phase 3 (Message Queue Infrastructure)