stroblmeandClaude Opus 5 180da3d640 Stop paying five Redis round trips and a global lock per message
The engine was I/O-bound on its own state backend. `RedisState.lock()` is one
key — `pipeline:_lock` — for the whole process, taken five times a message at
two round trips each, and every cascade and every node read queued behind it.
Inside it, reading a node's inputs was three round trips per input (an EXISTS
for `in`, then EXISTS and GET for the value), writing was two updates that a
single transaction already gives, and the version counters went one INCR at a
time.

Replaced with the atomic command that was always available: `get_present` is
one MGET and tells a missing key from one holding null, so the lock it used to
be read under bought nothing; value and timestamp land in one `update`, which
is a MULTI/EXEC; `increment_multi` pipelines the counters. `values()` — what
every websocket snapshot calls — is two reads whatever the message count
instead of two per message.

Beside that: every webhook did its blocking XADD on the asyncio event loop
(MQTT already used `to_thread`); the per-execution `NodeOutcome` was built and
validated even with no run watching; `_minute` built a tz-aware datetime per
event on the loop thread to key a dict, and now keys on an int; `move_due`
promoted delayed items one round trip each, every second; `FLOW_MAX_CASCADES`
makes the in-flight ceiling a setting rather than a constant.

`orjson` replaces stdlib json where a message pays for it — state, the
journal, the engine side of the worker pipe. `fluksio-worker` stays
dependency-free, and the run-cache digest stays on stdlib so no stored key is
invalidated. A non-finite number now stores as `null` rather than the bare
`NaN` that was never JSON.

Measured with `scripts/bench_engine.py` against a real Redis, 200 messages:
a five-node chain went from 43.9 to 103.1 msg/s with p50 latency 2110ms →
782ms and p95 3913ms → 1439ms; one source into twenty consumers went from 5.4
to 33.7 msg/s. In memory, twenty consumers went from 187 to 448 msg/s.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BpfSinyCBfjuieikyfMPbf
2026-08-26 10:12:25 +02:00
2026-08-25 12:54:41 +02:00
2026-02-03 21:43:09 +01:00

Fluksio App

Fluksio is a node-based automation software that brings trust and reliability to your flow. It just works and looks good.

The core of Fluksio: a node-based, test-driven automation software built to scale. This repo holds the FastAPI backend, the flow engine, and the dashboard SPA. It is served on app.${DOMAIN} (SPA) and api.${DOMAIN} (API)

Layout

backend/        FastAPI + SQLModel + Alembic + SQLite
  fluksio/flow/ the flow engine (nodes, pipeline, state backends, controller)
  fluksio/cli.py  `fluksio serve` / `enroll` / `worker`
worker/         the `fluksio-worker` distribution: the agent and the node runner
frontend/       React 19 + TanStack Router + Tailwind 4 + shadcn/ui
docs/           the public documentation site (zensical), served on docs.${DOMAIN}
docker/         compose.yml → compose.dev.yml → compose.local.yml (+ compose.traefik.yml)
scripts/        generate-client.sh, test.sh

Install without Docker

Get started quickly by running

pip install fluksio
fluksio serve

Then, head over to fluksio.com, sign up and add a new installation. Using the code provided, run

fluksio enroll <code>

and you're ready to rock.

Fluksio is distributed at it's heart. A machine that should only run nodes for an engine elsewhere installs less:

pip install fluksio-worker
fluksio-worker --url wss://api.example.com/api/v1/workers/attach --token "$TOKEN" --labels gpu

Getting started

Normally driven from the workspace root (make init once, then make dev). Standalone:

make install       # uv sync + bun install
make dev-utils     # proxy and mailcatcher only
make dev-backend   # FastAPI on :8000, hot reload
make dev-frontend  # Vite on :5173
make test           # pytest + Playwright (the e2e half needs the stack up)
make lint           # ruff + mypy + biome
make generate-client  # regenerate the frontend SDK from the OpenAPI schema

make help lists every target.

Documentation

The public site lives in docs/ and is built with zensical:

make docs-serve   # live preview on :8000
make docs         # static build into ./site

It is served at docs.${DOMAIN} by the docs service in docker/compose.yml, and .gitea/workflows/docs.yml builds it with --strict on every push.

License

Copyright (C) 2026 Melvin Strobl - GNU Affero General Public License v3.0 or later. See LICENSE.

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