loglite 1.3.0

Lightweight log service — Python CLI and harvester layer over the loglite C++ core

Loglite (Python)

The Python package is a thin convenience layer on top of the loglite C++ core. It provides:

• CLI (loglite server run, loglite migrate rollout/rollback) — delegates directly to the C++ server via a pybind11 extension (_core).
• Built-in harvesters — SocketHarvester and (optional) ZMQHarvester.
• Custom harvesters — subclass loglite.Harvester[Config] to write custom log ingestors in Python. Ingested entries are pushed directly into the C++ server's backlog in the same process.

The C++ core handles everything else: the HTTP server, SQLite read/write, migrations, SSE, and vacuuming. The Python package adds zero server-side overhead.

Installation

Pre-built wheels are published to PyPI:

pip install loglite

# With ZeroMQ harvester support
pip install "loglite[zmq]"

Writing a custom harvester

from dataclasses import dataclass
from loglite.harvesters.base import BaseHarvesterConfig, Harvester

@dataclass
class MyConfig(BaseHarvesterConfig):
    source: str

class MyHarvester(Harvester[MyConfig]):
    async def run(self):
        while self._running:
            log = await fetch_from_somewhere(self.config.source)
            self.ingest(log)  # pushes into the C++ backlog, thread-safe

Register it in your YAML config:

harvesters:
  - type: myapp.harvesters.MyHarvester
    name: my-source
    config:
      source: "tcp://localhost:5000"

Local development

Prerequisites

• uv
• Conan 2 — pip install conan && conan profile detect
• CMake ≥ 3.25
• A C++20-capable compiler (GCC 12+, Clang 16+, or Homebrew LLVM on macOS)

Build

cd py
uv sync --all-groups

That's it. CMake automatically invokes Conan during the configure step, so no separate Conan command is needed. The first sync compiles the C++ dependencies (SQLite3, Boost headers, yaml-cpp); subsequent syncs use Conan's binary cache and are fast 💪.

For building docs

uv run --group docs sphinx-build -W --keep-going -b html ../docs ../docs/_build/html

Running tests

cd py
uv run pytest                    # all tests
uv run pytest tests/test_cli.py  # single file