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Export runs and their curves as tables an analysis reads
`fluksio export metrics` is the long table — a row per run, metric and step —
and `fluksio export runs` the wide one, a row per run with the inputs that
*vary* across the selection as columns beside its final numbers, status,
duration and the commit and digest of the code it ran. Both carry the run id
on every row, which is the join back to the run page and what makes an
exported file auditable. `Client.export_metrics`/`export_runs` answer the same
rows to a notebook.

The engine streams csv or jsonl from two routes declared above `/{run_id}`;
parquet is a client-side conversion behind the new `fluksio[parquet]` extra,
so nobody pays for pyarrow who does not want dtypes kept. The long export
reads each run through `_series`, so a cached node's curve comes with it, and
`--stride` thins each series rather than the concatenation of all of them.

Two things they needed on the way: `GET /runs` takes `?since=` and `?before=`,
so a long history pages by the last row's own timestamp instead of an offset
that shifts under it; and a read that reaches no engine now says so in half a
second rather than seven, because `runs`, `flavors`, `export` and an unwatched
`status` pass `retries=0`. Everything that submits keeps them.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01A9Hdrmf2cwNABCnE5x9UJa
2026-08-27 17:43:30 +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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