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
71 lines
1.5 KiB
Python
71 lines
1.5 KiB
Python
from __future__ import annotations
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from collections.abc import Iterator
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from pathlib import Path
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import pytest
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import yaml
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from daena.config import DaenaConfig
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from daena.persistence.lmdb import LMDBBackend
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from daena.persistence.models import StoredRecord
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@pytest.fixture
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def tmp_db_path(tmp_path: Path) -> Path:
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return tmp_path / "lmdb"
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@pytest.fixture
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def lmdb_backend(tmp_db_path: Path) -> Iterator[LMDBBackend]:
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backend = LMDBBackend(
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path=str(tmp_db_path),
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map_size=10_485_760,
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)
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backend.open()
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yield backend
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backend.close()
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@pytest.fixture
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def sample_record() -> StoredRecord:
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return StoredRecord(
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source="test_source",
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record_type="test",
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body={"message": "hello"},
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metadata={"env": "test"},
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)
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@pytest.fixture
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def minimal_config() -> DaenaConfig:
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return DaenaConfig()
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@pytest.fixture
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def config_file(tmp_path: Path) -> Path:
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path = tmp_path / "daena.yaml"
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data = {
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"data_dir": "/tmp/daena_data",
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"logging": {"level": "debug", "format": "json"},
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"sources": [
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{
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"name": "test",
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"type": "dummy",
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"enabled": True,
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"options": {"interval": 1.0},
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}
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],
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"sinks": [
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{
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"name": "output",
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"type": "dummy",
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"enabled": True,
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"options": {},
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}
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],
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}
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with open(path, "w") as f:
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yaml.dump(data, f)
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return path
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