knx-telegram-store

A standalone, host-agnostic Python library for KNX telegram persistence.

Features

• Canonical Data Model: A unified model for KNX telegrams shared between Home Assistant and SpectrumKNX.
• Pluggable Backends:
  • In-Memory: Fast, deque-based storage with full filtering support.
  • SQLite: Lightweight persistent storage with SQL-based filtering.
  • PostgreSQL + TimescaleDB: Full-scale time-series storage.
• Unified Query Model: Powerful declarative filtering including time-delta context windows and pagination.
• Zero Runtime Dependencies: Core library (model, interface, in-memory) has no dependencies.
• Automated Schema Management: SQL backends handle their own creation and upgrades.

Installation

pip install knx-telegram-store

For SQL support:

pip install knx-telegram-store[sqlite]
pip install knx-telegram-store[postgres]

Usage

from datetime import datetime
from knx_telegram_store import StoredTelegram, TelegramQuery
from knx_telegram_store.backends.memory import MemoryStore

async def main():
    store = MemoryStore(max_size=1000)
    await store.initialize()

    telegram = StoredTelegram(
        timestamp=datetime.now(),
        source="1.1.1",
        destination="1/1/1",
        telegramtype="GroupValueWrite",
        direction="Incoming",
        value=22.5,
        unit="°C"
    )

    await store.store(telegram)

    query = TelegramQuery(destinations=["1/1/1"])
    result = await store.query(query)
    
    for t in result.telegrams:
        print(f"{t.timestamp}: {t.source} -> {t.destination} | {t.value} {t.unit}")

    await store.close()

License

MIT