forked from Rockachopa/Timmy-time-dashboard
d8d976aa60
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
74 lines
2.0 KiB
Markdown
74 lines
2.0 KiB
Markdown
# ADR 017: Event Logging System
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## Status
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Accepted
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## Context
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The swarm system needed a way to audit all agent actions, task lifecycle events, and system events. Without centralized logging, debugging failures and understanding system behavior required grep-ing through application logs.
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## Decision
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Implement a centralized event logging system in SQLite (`event_log` table) that captures all significant events with structured data.
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## Event Types
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| Type | Description |
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|------|-------------|
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| `task.created` | New task posted |
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| `task.bidding` | Task opened for bidding |
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| `task.assigned` | Task assigned to agent |
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| `task.started` | Agent started working |
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| `task.completed` | Task finished successfully |
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| `task.failed` | Task failed |
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| `agent.joined` | New agent registered |
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| `agent.left` | Agent deregistered |
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| `bid.submitted` | Agent submitted bid |
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| `tool.called` | Tool execution started |
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| `tool.completed` | Tool execution finished |
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| `system.error` | System error occurred |
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## Schema
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```sql
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CREATE TABLE event_log (
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id TEXT PRIMARY KEY,
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event_type TEXT NOT NULL,
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source TEXT NOT NULL,
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task_id TEXT,
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agent_id TEXT,
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data TEXT, -- JSON
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timestamp TEXT NOT NULL
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);
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```
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## Usage
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```python
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from swarm.event_log import log_event, EventType, get_task_events
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# Log an event
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log_event(
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event_type=EventType.TASK_ASSIGNED,
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source="coordinator",
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task_id=task.id,
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agent_id=winner.agent_id,
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data={"bid_sats": winner.bid_sats},
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)
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# Query events
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events = get_task_events(task_id)
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summary = get_event_summary(minutes=60)
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```
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## Integration
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The coordinator automatically logs:
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- Task creation, assignment, completion, failure
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- Agent join/leave events
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- System warnings and errors
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## Consequences
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- **Positive**: Complete audit trail, easy debugging, analytics support
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- **Negative**: Additional database writes, storage growth over time
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## Mitigations
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- `prune_events()` function removes events older than N days
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- Indexes on `task_id`, `agent_id`, and `timestamp` for fast queries
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