One process owns this database — the image has run a single uvicorn
worker for that reason since the four-engines bug — so a file beside the
flows is the honest shape for it, and it is what lets `fluksio serve`
need no infrastructure at all. Live values, node execution and the work
queue never came here anyway; what does is a rollup a minute at a time,
a row per cascade and the run history, and WAL keeps the readers going
while that one writer works.
DATA_DIR is now the one setting that moves everything an installation
keeps; the rest derive from it and the images still spell theirs out.
The schema is prepared in-process at startup, so the prestart service is
gone, and the ten Postgres-only revisions collapse into one portable
baseline.
Three things only worked because psycopg was casting for us: a token's
subject arriving as a string where the column is a UUID, `greatest`, and
`date_bin`. The timestamps needed a column type of their own — SQLite
stores no offset, and a naive datetime read back either raises against an
aware `now` or serialises as local time.
Postgres stays in the stack only for Umami, behind the analytics profile.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
A cluster or GPU host installs `pip install fluksio-worker` and gets the
agent and the runner, not psycopg, numpy and the MCP SDK. The engine
depends on it as a workspace member, so the file it launches node code
with is the same file a remote worker runs — which is what keeps a node
unable to tell the difference. Copying the two files by hand still works.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
A wheel whose top-level module is `app` collides with anything else in a
user's venv, so the package that is about to be published takes the name
it is published under. Only the Python package moves; the repo, the
Docker WORKDIR and the compose project keep theirs.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
`make lint-frontend` was `biome check --write --unsafe ./` — a lint target that
reformatted the whole tree rather than checking it, which is why every parallel
change in this repo has had to work around it. `lint` checks now and a new
`format` writes. The pre-commit hook and CI needed no edit at all: both call
`bun run lint`, so they became checks the moment its meaning changed.
`app/Makefile` assigned DOMAIN from .env, and a plain assignment beats an
inherited environment variable and is not exported — so `cd app && make
dev-local` served localhost while the same checkout's tests targeted the
configured domain. `export DOMAIN ?=` gives the lattice that was intended:
command line, then environment, then .env.
Alongside: the backend's htmlcov bind mount created that directory as root, so
`make test-backend` died on the coverage step after every test had passed,
which reads like a test failure and is not one. The alerts screen's copy of
ALERTING_EVENTS is now checked by a test rather than trusted. And the shard
comment claimed two spec files where there are nine.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Uq8mtNb97A7praJLyeEYgs
Four controls and the unit's own answer beside them. Two catches, both on:
the flow is seeded stopped and the node's commands setting is off. The initial
values are read off the unit when the script runs, so starting the flow asks
for what it was already doing rather than commanding it to something else.
Two things stopped the engine commanding this house. ConnectorNode hardwired
its node function to a no-op, so an input message reaching a connector was
discarded and Art-Net's packet builder was unreachable; write() now carries
the input ports, which is additive so the contract version holds. And the MQTT
publisher JSON-encoded every payload, so "ON" went on the wire quoted and the
devices on a shared broker, which speak bare values, ignored it.
seed_house_control.py is the rig: a flow that drives the washing machine plug,
a dimmer and a colour fixture over MQTT, carries the same two as DMX on an
Art-Net node with transmit still off, and a dashboard to drive it by hand.
`tests/utils/api.ts` took the API origin from `VITE_API_URL`, which
`tests/config.ts` loads out of `app/.env`. In a checkout configured for a
deployment that names the deployment — so the browser went to the local stack
while every setup and teardown call, `deleteAll` included, went to the live
one. `privateApi.ts` had the same reading, and it creates users.
Both origins now come from one place: `PLAYWRIGHT_BASE_URL`, with the API
derived from it (`app.<domain>` → `api.<domain>`) or named outright by
`PLAYWRIGHT_API_URL`, which is what CI and the compose service set. Nothing in
the suite reads `VITE_API_URL` any more.
Belt and braces, since a stack served under a real domain answers to the same
names its production instance does: a global setup resolves both origins and
refuses anything that is not loopback or a private range, before a test runs.
`PLAYWRIGHT_ALLOW_PUBLIC=1` says you meant it.
`make test-frontend` is now that safe run — the Playwright image on the proxy
network with both names mapped onto Traefik by address, as the host user so it
does not leave root-owned results behind.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NUb8YpL2s3gmN9WTACTt4q
`scripts/seed_demo.py` wipes and recreates one persistent demo — `home`,
`home_history` and `pv_model`, plus a `demo` dashboard carrying all fifteen
widget types across three sections. Operational script for the hosted
instance only: `make seed-hosted-demo`, with `API_URL` selecting which one.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HTsT1isxUjw5gtkJk8WhuA
make seed-demo builds demo_training — prepare on the engine, a GPU-bound
train, evaluate back here — and a panel that draws the loss curve while the
training is still going. It is the session's whole argument in one flow: batch
runs with parameters and a result, a generator yielding on a declared port
rather than logging, fluksio.emit from inside a callback, artifacts carrying
the dataset and the weights between machines, and a sweep whose configs are
isolated from each other. The train node prefers its label rather than
requiring it, so it runs before a GPU box exists and says which machine and
which numeric backend it actually used.
Building it turned up two real bugs. A run waited for a worker its flow only
*preferred*, because required_labels ignored device_policy — so the example
hung on a label it did not need. And a run's seed never reached the flow, so
sweeping over seeds ran the same experiment N times; it now fills an input of
that name when the flow declares one, which is what the field looked like it
did all along.
Pressing Run on a batch flow now submits a run rather than taking the old
non-durable path — that button is the first thing anyone evaluating will press,
and it was quietly doing something else.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01AD8SfVhzXBG2nAfFcVh3iD
The milestone is measured on being lighter than Kedro, so make bench-startup
measures it rather than asserting it: 61 ms from submit to result against
1110 ms for kedro run on a pipeline that does the same nothing. The difference
is not orchestration, it is that nothing is booted per run — on a 510-config
sweep that is about nine minutes of pure startup that never happens.
docs/flows/runs.md is the guide: batch flows, sweeps, reporting from inside a
node, artifacts, and the two sanctioned patterns for objects that cannot be
serialized — keep them in one node, or cross at a checkpoint.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01AD8SfVhzXBG2nAfFcVh3iD
A chart is drawn in buckets, and nothing it can show changes until the
bucket it is drawing closes — so the resolution sets the refresh rather
than a flat five-second floor. A week at quarter-hour buckets now asks
four times an hour instead of sixty, for the same picture. Leaving the
field empty follows the window; a slower rate is still honoured.
`make seed-example` builds the thing to evaluate it with: a flow that
logs a temperature to InfluxDB, a flow that answers a chart's request by
turning the window into Flux and the rows back into a series, and a
dashboard holding the chart. The reading flow declares the request as an
input with a starting value, which is how a flow says a value reaches it
from a panel rather than from a node upstream.
Axis labels keep enough decimals to stay distinct — `si` rounds to three
figures, so every tick of a chart living inside one degree read "19".
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
A standalone harness, never part of the test run, that drives a real stack
through the durable path — the webhook, which journals every trigger — and
then stops Redis, kills the engine mid-cascade and restarts the broker
under a live subscription. Latest-value-wins with concurrent cascades means
counter equality is not a promise, so what it asserts is that the queue
drains, that state ends on the last value sent, and that nothing reached
the dead-letter stream.
Every docker verb goes through one helper that checks the compose label
before it acts and refuses anything outside this project, because the
machines this runs on host unrelated services.
Two invariants are deliberately looser than they look. The queue belongs to
the whole stack, so "nothing pending" would be measuring other people's
traffic; the harness waits on the age of the oldest unacknowledged entry
instead, which a stuck item always dominates. And the observability tables
are cleared only after the collector's flush interval has passed, since
deleting a flow publishes an audit event of its own.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017MeiWk3Yq12n2pTvnQWYvt
The integrated stack drops every published host port, so make test-backend
could not reach Postgres on localhost:5432 whenever the stack it shares a
machine with was running. It now asks Docker where the container is; with the
stack down, .env still stands.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01H7LwYgJfpkbLCTeiAf8U4A
The API image ran four uvicorn workers, and each one built a full flow
controller — four sets of MQTT subscriptions, cron ticks and webhooks.
Runs one worker now; scaling out is the worker split, not more processes.
Adds a loop-lag watchdog and a deep /utils/health/ that fails when the
event loop is wedged or Redis is unreachable, the two failure modes a
process-alive check never sees. Autoheal restarts on that signal, behind
a compose profile because it mounts the Docker socket.
The private user-seeding routes now need an explicit opt-in rather than
just ENVIRONMENT=local, so a deployment that kept the default never
exposes them.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011LF61rxW1FG5YCD2J9YqjY
Move compose.yml/compose.override.yml/compose.traefik.yml into docker/ and
split into the explicit prod -> dev -> local layering; compose.override.yml
had to be renamed because docker compose auto-loads that filename, which
defeats the layering.
- external network traefik-public -> proxy (shared with the website stack)
- frontend host dashboard.${DOMAIN} -> app.${DOMAIN}
- stable container_names, security_opt no-new-privileges on prod services
- adminer bound to 127.0.0.1 in dev instead of all interfaces
- .env.example replaces the committed .env
- pre-commit biome hook ran npm in a bun repo
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
stroblmeandClaude Opus 5