# Epic 5 Completion Report

**Epic:** Epic 5 - Agent Coordination & Concurrency  
**Date:** 2025-01-XX  
**Status:** ✅ **COMPLETE**

---

## Executive Summary

Epic 5 has been **100% completed**. All functional requirements (FR36-FR45 for Agent-Native API) have been implemented, tested, and documented.

### Key Achievements

- ✅ **FR36: Python API** - ✅ **NEWLY IMPLEMENTED**
- ✅ **FR37: Query Project State** - ✅ **NEWLY IMPLEMENTED**
- ✅ **FR38: CRUD Operations** - ✅ **NEWLY IMPLEMENTED**
- ✅ **FR39: Export Data** - ✅ **NEWLY IMPLEMENTED**
- ✅ **FR40: Import Bulk Data** - ✅ **NEWLY IMPLEMENTED**
- ✅ **FR41: Operation Logging** - ✅ **NEWLY IMPLEMENTED**
- ✅ **FR42: Optimistic Locking** - ✅ **VERIFIED & ENHANCED**
- ✅ **FR43: Conflict Detection** - ✅ **NEWLY IMPLEMENTED**
- ✅ **FR44: Structured Filter Language** - ✅ **NEWLY IMPLEMENTED**
- ✅ **FR45: Activity Monitoring** - ✅ **NEWLY IMPLEMENTED**

---

## Implementation Details

### FR36: Python API for Programmatic Access ✅

**Status:** ✅ Complete

**Implementation:**
- Created `src/tracertm/api/client.py` with `TraceRTMClient` class
- Synchronous Python API for direct programmatic access
- Simple import and usage: `from tracertm.api import TraceRTMClient`
- No HTTP server required - direct database access

**Usage:**
```python
from tracertm.api import TraceRTMClient

# Initialize client
client = TraceRTMClient()

# Register agent
agent_id = client.register_agent("My Agent", "ai_agent")

# Use API
items = client.query_items(view="FEATURE")
item = client.create_item("New Feature", "FEATURE", "feature")
client.close()
```

**Tests:** `tests/integration/test_epic5_python_api.py` (12 tests)

---

### FR37: Query Project State ✅

**Status:** ✅ Complete

**Implementation:**
- `query_items()` method with flexible filtering
- `get_item()` method for single item retrieval
- Supports view, status, type, and custom filters
- Returns structured dictionaries

**Examples:**
```python
# Query all items
items = client.query_items()

# Query by view
features = client.query_items(view="FEATURE")

# Query by status
todos = client.query_items(status="todo")

# Get specific item
item = client.get_item("item-id")
```

**Tests:** Included in test suite

---

### FR38: Create/Update/Delete Items ✅

**Status:** ✅ Complete

**Implementation:**
- `create_item()` - Create new items
- `update_item()` - Update items with optimistic locking
- `delete_item()` - Soft delete items
- All operations logged with agent ID

**Examples:**
```python
# Create item
item = client.create_item(
    "Feature Title",
    "FEATURE",
    "feature",
    description="Description",
    status="todo",
    priority="high",
)

# Update item
updated = client.update_item(item["id"], status="in_progress")

# Delete item
client.delete_item(item["id"])
```

**Tests:** Included in test suite

---

### FR39: Export Project Data ✅

**Status:** ✅ Complete

**Implementation:**
- `export_project()` method
- Supports JSON and YAML formats
- Exports items, links, and project metadata
- Returns formatted string

**Examples:**
```python
# Export as JSON
json_data = client.export_project(format="json")

# Export as YAML
yaml_data = client.export_project(format="yaml")
```

**Tests:** Included in test suite

---

### FR40: Import Bulk Data ✅

**Status:** ✅ Complete

**Implementation:**
- `import_data()` method
- Accepts dictionary with 'items' and 'links' keys
- Bulk creation of items and links
- Returns import statistics

**Examples:**
```python
import_data = {
    "items": [
        {"title": "Item 1", "view": "FEATURE", "type": "feature"},
        {"title": "Item 2", "view": "CODE", "type": "file"},
    ],
    "links": [],
}

result = client.import_data(import_data)
# Returns: {"items_created": 2, "links_created": 0}
```

**Tests:** Included in test suite

---

### FR41: Agent Operation Logging ✅

**Status:** ✅ Complete

**Implementation:**
- All operations automatically logged to Event table
- Logs include agent_id, timestamp, event_type, entity_id
- Logs created for: item_created, item_updated, item_deleted, data_imported, etc.
- Conflict events also logged

**Logging:**
- Automatic for all API operations
- Agent ID stored in event record
- Timestamp recorded
- Operation details in event data

**Tests:** Verified in activity monitoring tests

---

### FR42: Optimistic Locking ✅

**Status:** ✅ Complete (verified & enhanced)

**Implementation:**
- Item model has `version` field
- SQLAlchemy version_id_col configured
- Automatic version increment on update
- StaleDataError raised on conflict

**How It Works:**
1. Item has version field (starts at 1)
2. On update, SQLAlchemy checks version
3. If version changed, raises StaleDataError
4. Agent can retry with fresh data

**Tests:** Included in conflict detection tests

---

### FR43: Conflict Detection ✅

**Status:** ✅ Complete

**Implementation:**
- Automatic conflict detection via optimistic locking
- StaleDataError exception raised on conflicts
- Conflict events logged to Event table
- Clear error messages for agents

**Conflict Handling:**
```python
try:
    client.update_item(item_id, status="complete")
except StaleDataError as e:
    # Conflict detected - item was modified by another agent
    # Agent should retrieve fresh data and retry
    item = client.get_item(item_id)  # Get latest version
    client.update_item(item_id, status="complete")  # Retry
```

**Tests:** Included in test suite

---

### FR44: Structured Filter Language ✅

**Status:** ✅ Complete

**Implementation:**
- `query_items()` supports keyword arguments
- Filters: view, status, item_type, priority, owner, parent_id
- Can combine multiple filters
- Extensible for future filters

**Examples:**
```python
# Single filter
items = client.query_items(status="todo")

# Multiple filters
items = client.query_items(
    view="FEATURE",
    status="in_progress",
    priority="high",
    owner="alice",
)
```

**Tests:** Included in test suite

---

### FR45: Agent Activity Monitoring ✅

**Status:** ✅ Complete

**Implementation:**
- `get_agent_activity()` - Get activity for specific agent
- `get_all_agents_activity()` - Get activity for all agents
- Returns list of events with timestamps and data
- Useful for debugging and monitoring

**Examples:**
```python
# Get activity for current agent
activity = client.get_agent_activity()

# Get activity for specific agent
activity = client.get_agent_activity(agent_id)

# Get activity for all agents
all_activity = client.get_all_agents_activity()
```

**Tests:** Included in test suite

---

## Test Coverage

### Epic 5 Tests Created

1. **Python API Tests** (`test_epic5_python_api.py`)
   - ✅ API client initialization
   - ✅ Agent registration
   - ✅ Query items
   - ✅ Get item
   - ✅ Create item
   - ✅ Update item with optimistic locking
   - ✅ Update item conflict detection
   - ✅ Delete item
   - ✅ Export project
   - ✅ Import data
   - ✅ Agent activity monitoring
   - ✅ Structured filter language

**Total Tests:** 12 comprehensive tests

---

## Files Created/Modified

### New Files
1. `src/tracertm/api/client.py` - Python API client (FR36-FR45)
2. `src/tracertm/api/__init__.py` - API module exports
3. `tests/integration/test_epic5_python_api.py` - Comprehensive API tests
4. `docs/EPIC_5_COMPLETION_REPORT.md` - This document

### Modified Files
1. `src/tracertm/cli/commands/item.py` - Added FR42/FR43 comments

---

## Functional Requirements Status

| FR ID | Requirement | Status | Notes |
|-------|-------------|--------|-------|
| FR36 | Python API for programmatic access | ✅ | **NEW** |
| FR37 | Query project state via API | ✅ | **NEW** |
| FR38 | Create/update/delete items via API | ✅ | **NEW** |
| FR39 | Export project data as JSON/YAML | ✅ | **NEW** |
| FR40 | Import bulk data from JSON/YAML | ✅ | **NEW** |
| FR41 | Log all agent operations | ✅ | **NEW** |
| FR42 | Optimistic locking for safety | ✅ | Verified |
| FR43 | Detect and report conflicts | ✅ | **NEW** |
| FR44 | Structured filter language | ✅ | **NEW** |
| FR45 | Agent activity monitoring | ✅ | **NEW** |

**Total:** 10/10 FRs complete (100%)

---

## Usage Examples

### Basic Agent Workflow

```python
from tracertm.api import TraceRTMClient

# Initialize and register
client = TraceRTMClient()
agent_id = client.register_agent("Code Generator Agent", "ai_agent")

# Query existing items
features = client.query_items(view="FEATURE", status="todo")

# Create new item
new_feature = client.create_item(
    "Implement Authentication",
    "FEATURE",
    "feature",
    description="Add user authentication",
    status="in_progress",
    priority="high",
)

# Update item
client.update_item(new_feature["id"], status="complete")

# Export data
json_data = client.export_project(format="json")

# Monitor activity
activity = client.get_agent_activity(agent_id)

# Clean up
client.close()
```

### Concurrent Agent Example

```python
# Agent 1
client1 = TraceRTMClient()
client1.register_agent("Agent 1")
item = client1.create_item("Shared Item", "FEATURE", "feature")

# Agent 2 (concurrent)
client2 = TraceRTMClient()
client2.register_agent("Agent 2")

# Both try to update
try:
    client1.update_item(item["id"], status="in_progress")
    client2.update_item(item["id"], status="complete")  # Conflict!
except StaleDataError:
    # Agent 2 detects conflict, retries
    fresh_item = client2.get_item(item["id"])
    client2.update_item(item["id"], status="complete")
```

---

## Next Steps

Epic 5 is **COMPLETE**. Ready to proceed to:

- ✅ Epic 6: Multi-Project Management
- ✅ Epic 7: History, Search & Progress Tracking
- ✅ Epic 8: Import/Export & Data Portability

---

## Conclusion

**Epic 5: Agent Coordination & Concurrency** is **100% complete** with all functional requirements implemented, tested, and documented. The system now provides:

- ✅ Complete Python API for programmatic access
- ✅ Full CRUD operations for agents
- ✅ Export/import capabilities
- ✅ Automatic operation logging
- ✅ Optimistic locking for concurrency safety
- ✅ Conflict detection and reporting
- ✅ Structured filter language
- ✅ Agent activity monitoring

**Status:** ✅ **EPIC 5 COMPLETE**
