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Timmy-time-dashboard/docs/adr/022-real-time-activity-feed.md
Alexander Payne d8d976aa60 feat: complete Event Log, Ledger, Memory, Cascade Router, Upgrade Queue, Activity Feed
This commit implements six major features:

1. Event Log System (src/swarm/event_log.py)
   - SQLite-based audit trail for all swarm events
   - Task lifecycle tracking (created, assigned, completed, failed)
   - Agent lifecycle tracking (joined, left, status changes)
   - Integrated with coordinator for automatic logging
   - Dashboard page at /swarm/events

2. Lightning Ledger (src/lightning/ledger.py)
   - Transaction tracking for Lightning Network payments
   - Balance calculations (incoming, outgoing, net, available)
   - Integrated with payment_handler for automatic logging
   - Dashboard page at /lightning/ledger

3. Semantic Memory / Vector Store (src/memory/vector_store.py)
   - Embedding-based similarity search for Echo agent
   - Fallback to keyword matching if sentence-transformers unavailable
   - Personal facts storage and retrieval
   - Dashboard page at /memory

4. Cascade Router Integration (src/timmy/cascade_adapter.py)
   - Automatic LLM failover between providers (Ollama → AirLLM → API)
   - Circuit breaker pattern for failing providers
   - Metrics tracking per provider (latency, error rates)
   - Dashboard status page at /router/status

5. Self-Upgrade Approval Queue (src/upgrades/)
   - State machine for self-modifications: proposed → approved/rejected → applied/failed
   - Human approval required before applying changes
   - Git integration for branch management
   - Dashboard queue at /self-modify/queue

6. Real-Time Activity Feed (src/events/broadcaster.py)
   - WebSocket-based live activity streaming
   - Bridges event_log to dashboard clients
   - Activity panel on /swarm/live

Tests:
- 101 unit tests passing
- 4 new E2E test files for Selenium testing
- Run with: SELENIUM_UI=1 pytest tests/functional/ -v --headed

Documentation:
- 6 ADRs (017-022) documenting architecture decisions
- Implementation summary in docs/IMPLEMENTATION_SUMMARY.md
- Architecture diagram in docs/architecture-v2.md
2026-02-26 08:01:01 -05:00

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6.2 KiB
Markdown

# ADR 022: Real-Time Activity Feed
## Status
Proposed
## Context
The dashboard currently shows static snapshots of swarm state. Users must refresh to see:
- New tasks being created
- Agents joining/leaving
- Bids being submitted
- Tasks being completed
This creates a poor UX for monitoring the swarm in real-time.
## Decision
Implement a WebSocket-based real-time activity feed that streams events from the Event Log to connected dashboard clients.
## Architecture
### Data Flow
```
Coordinator Event → Event Log (SQLite)
WebSocket Broadcast
Dashboard Clients (via ws_manager)
```
### Components
1. **Event Source** (`src/swarm/coordinator.py`)
- Already emits events via `log_event()`
- Events are persisted to SQLite
2. **WebSocket Bridge** (`src/ws_manager/handler.py`)
- Already exists for agent status
- Extend to broadcast events
3. **Event Broadcaster** (`src/events/broadcaster.py` - NEW)
```python
class EventBroadcaster:
"""Bridges event_log → WebSocket."""
async def on_event_logged(self, event: EventLogEntry):
"""Called when new event is logged."""
await ws_manager.broadcast_event({
"type": event.event_type.value,
"source": event.source,
"task_id": event.task_id,
"agent_id": event.agent_id,
"timestamp": event.timestamp,
"data": event.data,
})
```
4. **Dashboard UI** (`/swarm/live` - enhanced)
- Already exists at `/swarm/live`
- Add activity feed panel
- Connect to WebSocket
- Show real-time events
5. **Mobile Support**
- Same WebSocket for mobile view
- Simplified activity list
### Event Types to Broadcast
| Event Type | Display As | Icon |
|------------|------------|------|
| `task.created` | "New task: {description}" | 📝 |
| `task.assigned` | "Task assigned to {agent}" | 👤 |
| `task.completed` | "Task completed" | ✓ |
| `agent.joined` | "Agent {name} joined" | 🟢 |
| `agent.left` | "Agent {name} left" | 🔴 |
| `bid.submitted` | "Bid: {amount}sats from {agent}" | 💰 |
| `tool.called` | "Tool: {tool_name}" | 🔧 |
| `system.error` | "Error: {message}" | ⚠️ |
### WebSocket Protocol
```json
// Client connects
{"action": "subscribe", "channel": "events"}
// Server broadcasts
{
"type": "event",
"payload": {
"event_type": "task.assigned",
"source": "coordinator",
"task_id": "task-123",
"agent_id": "agent-456",
"timestamp": "2024-01-15T10:30:00Z",
"data": {"bid_sats": 100}
}
}
```
### UI Design: Activity Feed Panel
```
┌─────────────────────────────────────────┐
│ LIVE ACTIVITY [🔴] │
├─────────────────────────────────────────┤
│ 📝 New task: Write Python function │
│ 10:30:01 │
│ 💰 Bid: 50sats from forge │
│ 10:30:02 │
│ 👤 Task assigned to forge │
│ 10:30:07 │
│ ✓ Task completed │
│ 10:30:15 │
│ 🟢 Agent Echo joined │
│ 10:31:00 │
│ │
│ [Show All Events] │
└─────────────────────────────────────────┘
```
### Integration with Existing Systems
**Existing: Event Log** (`src/swarm/event_log.py`)
- Hook into `log_event()` to trigger broadcasts
- Use SQLite `AFTER INSERT` trigger or Python callback
**Existing: WebSocket Manager** (`src/ws_manager/handler.py`)
- Add `broadcast_event()` method
- Handle client subscriptions
**Existing: Coordinator** (`src/swarm/coordinator.py`)
- Already calls `log_event()` for all lifecycle events
- No changes needed
**Existing: Swarm Live Page** (`/swarm/live`)
- Enhance with activity feed panel
- WebSocket client connection
### Technical Design
#### Option A: Direct Callback (Chosen)
Modify `log_event()` to call broadcaster directly.
**Pros:** Simple, immediate delivery
**Cons:** Tight coupling
```python
# In event_log.py
def log_event(...):
# ... store in DB ...
# Broadcast to WebSocket clients
asyncio.create_task(_broadcast_event(event))
```
#### Option B: SQLite Trigger + Poll
Use SQLite trigger to mark new events, poll from broadcaster.
**Pros:** Decoupled, survives restarts
**Cons:** Latency from polling
#### Option C: Event Bus
Use existing `src/events/bus.py` to publish/subscribe.
**Pros:** Decoupled, flexible
**Cons:** Additional complexity
**Decision:** Option A for simplicity, with Option C as future refactoring.
### Performance Considerations
- **Rate Limiting:** Max 10 events/second to clients
- **Buffering:** If client disconnected, buffer last 100 events
- **Filtering:** Clients can filter by event type
- **Deduplication:** WebSocket manager handles client dedup
### Security
- Only authenticated dashboard users receive events
- Sanitize event data (no secrets in logs)
- Rate limit connections per IP
## Consequences
### Positive
- Real-time visibility into swarm activity
- Better UX for monitoring
- Uses existing infrastructure (Event Log, WebSocket)
### Negative
- Increased server load from WebSocket connections
- Event data must be carefully sanitized
- More complex client-side state management
### Mitigations
- Event throttling
- Connection limits
- Graceful degradation to polling
## Implementation Plan
1. **Create EventBroadcaster** - Bridge event_log → ws_manager
2. **Extend ws_manager** - Add `broadcast_event()` method
3. **Modify event_log.py** - Hook in broadcaster
4. **Enhance /swarm/live** - Add activity feed panel with WebSocket
5. **Create EventFeed component** - Reusable HTMX + WebSocket widget
6. **Write tests** - E2E tests for real-time updates
## Dependencies
- Existing `src/swarm/event_log.py`
- Existing `src/ws_manager/handler.py`
- Existing `/swarm/live` page
- HTMX WebSocket extension (already loaded)