Persistence:
- one delivery state per sink, with claim, crash recovery, and index replacement
- retention for delivered and dead records
- LMDB writes moved off the event loop
Pipeline:
- one attempt per dispatch, with the next try scheduled by next_retry_at
- backpressure through max_queue_size
- reload re-reads YAML; SIGTERM drains and SIGHUP reloads
Plugins:
- journald source, enricher and filter processors, Loki sink
- built-ins register when entry points are missing
API and CLI:
- health, metrics, per-sink queue, and dead-letter replay
- startup prints the pipeline on one line
Tests:
- dispatch, plugins, metrics, CLI, and persistence coverage
Complete implementation of the daena log/event collection service:
Core runtime:
- DaenaRuntime service lifecycle (start/stop/reload)
- Pipeline orchestrator with source/persist/dispatch flow
- LMDB persistence backend with key-prefix partitioning
- Plugin discovery via Python entry points
Pipeline:
- Source/Processor/Sink ABC interfaces with DeliveryResult
- DummySource for testing and development
- DummySink and HTTPSink implementations
- PassthroughProcessor
- Record dataclass for in-memory records
- StoredRecord model with RecordState tracking
REST API (FastAPI, v1):
- GET /system/{status,health,config}
- GET /plugins
- GET /queue, /queue/{pending,dead}
- GET /sinks
- Versioned under /api/v1 prefix
CLI (Typer):
- status, health, queue, sinks, plugins, config, version
Persistence (LMDB):
- Single-database key-prefix design (no named DBs)
- Index keys: idx:{state}:{ts}\x00{id}
- Record keys: rec:{id}
- Full CRUD: put/get/ack/nack/dead/update_state
- Pending/retry/dead-letter queries with state filtering
- delete_old for TTL-based retention
Deployment:
- systemd unit file (deploy/daena.service)
- Example YAML config (config/daena.yaml)
- Entry points: daena (CLI), daena-serve (uvicorn server)
Quality:
- 23 unit tests covering config, persistence, pipeline
- ruff linting and formatting pass clean
- Py3.13 compatible, uv-managed, pyenv-pinned
- GPG-signed commit on dev branch
Set up the daena project with:
- pyproject.toml with all core and dev dependencies
- .python-version pinned to 3.13.5
- .gitignore for Python/uv/OS artifacts
- .editorconfig for consistent formatting
- .env.example for deployment configuration
- src/daena package skeleton with version
- uv-managed virtual environment
ahp