32f751e1150a5ca3c8f5c6c6703d14c5bb7927c0
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32f751e115 |
End the live socket when its client goes, instead of spinning on it
`receive_text` raises `WebSocketDisconnect` once the peer has gone and `RuntimeError` on every call after that. The loop swallowed both — the exception was checked only to decide whether the frame held a media subscription — and immediately made another read, which raised again. A closed tab therefore left a coroutine reading a dead socket at full tilt: around 15,000 turns a second, one orphaned `Queue.get()` per turn parked on the bus queue's waiter list. The event loop stalled behind it, `/health` answered 503 on its loop-lag check, and Docker's probe plus Traefik took the API out of the pool mid-request — which is what `make verify` was dying on, with `TypeError: Failed to fetch` from the browser. The spin ended only when an event finally reached the send path and the socket raised there, so it lasted from milliseconds to minutes depending on what the bus happened to be carrying. Four abandoned sockets logged 2,518 `Task was destroyed but it is pending!` lines and up to 2.6s of loop lag; twenty now log none and cost 1.0ms. A failed read is the disconnect, so it ends the stream. The getter created beside it is cancelled rather than abandoned: nothing reads it after the turn that made it, and left behind it would also take an event the live reader wanted. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CL9zvnnvcp1mvA8o7impxk |
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d15520ec8a |
Make lint-backend green, and regenerate the stale client
`wanted_names` never read its `previous` argument — the caller reassigns
`wanted` from the return value — so the parameter goes rather than gaining
an underscore; its one call site and four test calls follow. Sorts the
imports in test_artifacts.py. Both were failing `make lint-backend` at HEAD.
Regenerates the client, which
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8cb843eb25 |
Make revoking an agent and locking a dashboard actually revoke and lock
An MCP access token is a stateless JWT good until it expires, so deleting the client row revoked nothing already handed out — on the MCP endpoint or on the REST API, which takes the same token directly. Both doors now look the client up by the `client_id` the token has always carried, so tokens already in circulation are held to it too. A dashboard's `locked` setting stopped the client drawing a control and nothing else; the server took a publish from a panel showing it anyway. It now bounds the panel's write scope, resolved live where a flow drives the flag, exactly as the client resolves it. Reads are untouched — read-only is not blind — and so is a querying chart's request, which is how that tile reads rather than something anyone touched. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CL9zvnnvcp1mvA8o7impxk |
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15c3dd5838 |
Keep a flow's runs when the flow goes
A run record is a record of what ran, so deleting a flow no longer sweeps its
history: `_forget_runs` is gone from the flow-delete path, and `DELETE /runs/{id}`
is the only thing that removes a run one at a time. The in-flight guard stays —
that is about work, not history.
`DELETE /runs?flow=` is the counterpart to the list's flow filter and what a
reseed needs, sharing the four statements with the single-run delete and
refusing the same way while a run of that flow is still going.
A run whose flow is gone reads as one: `useFlowInputs` reports the 404 rather
than an empty declaration set, so the run page says "flow deleted", explains it,
and disables Retry, which the route would refuse anyway.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CL9zvnnvcp1mvA8o7impxk
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3397739c14 |
Refuse a port the function cannot take, and read a failing node as degraded
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A python node's ports and settings arrive as keyword arguments, so a declared name its `process` does not take was a TypeError on every call — and a node that loads fine and fails every time it runs is the quiet kind of broken: the hosted demo did it 720 times an hour for two days and the health badge read ok throughout. `_build_node` now reads a written body with `ast` and refuses the mismatch at load, so the node is an error on the canvas and an issue on publish. Skipped for `**kwargs`, a decorated or absent `process`, and the template a new node opens with. The SDK's generated shim always takes `**settings`, so synced flows are untouched. `/observability/summary` names a node that has failed in the last fifteen minutes and reads degraded while it does, which is what would have made the badge amber. `nodes.failing` carries the count. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SkgNtaR6JspnHBFFP6crZj |
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058f16ec1d |
Close eight open SDK tasks: the pidfile, the log, cards, names and a live curve
Each was a loose end recorded under `### SDK` in the notepad. `serve` takes its own pidfile down on SIGTERM. uvicorn restores the handler it found and re-raises the signal it stopped on, so the default handler ended the process without unwinding and the `finally` never ran — which is what a stop sends, and what left `serve.pid` behind. `serve.log` is cut back past 5 MB by the engine rather than by the screen that started it, so an adopted engine is bounded too. Gated on its own stdout being an appended regular file, which is what makes the cut safe: the kernel then puts the next write at the new end. Cards are counted from `/dev/nvidia[0-9]*`, so `FLOW_GPUS`/`--gpus` of 0 means "work it out" the way `FLOW_CPUS` always has. The engine counts, not the accountant — a remote worker builds one of those from its own inventory, and detecting there would hand it the engine host's cards. The worker counts last: what a batch job says it was granted still wins. `GET /runs/metrics/names` is the distinct over a selection that `--list` and the terminal's metric picker were approximating by reading the newest run that had measured anything, which missed a name only an older run ever wrote. `MetricSink` announces each batch it has written (`run_metric`, carrying the names). Not a per-point event: one covers up to 500 points or two seconds of them, and the rows stay the record. The terminal comparison fills in as the first readings land instead of staying blank until reopened, and the browser refetches the run and any comparison rather than the list behind them. `retry --group` pages the list route by `before` instead of stopping at 500. The terminal dashboard takes the terminal's colours (`ansi-dark`), and the web UI can re-pair from Settings without disconnecting first. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PRQ9bmTvCbqCwXo9mxZzzV |
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5b122341d5 |
New run: start a run from the app, on the working copy
The site promises simulated inputs and mocked sensor values, and nothing in the app was that. A run already is: the values are the caller's, the state is the run's own namespace, and nothing it computes reaches the live flow. What was missing was a screen to do it from, and the draft flag being honoured. `/runs/new` is a flow, a field per declared input, a seed and Run; `/runs` stays the log. A comma-separated list in a number field expands into the grid `fluksio sweep --param` builds and goes to the sweep route, so launching one no longer needs a terminal. Only numbers split: a comma in a string is content, and one in JSON is syntax. `RunCreate.draft` was validated at submit and dropped before the run executed, so "try the working copy" ran the published one. `Run.draft` is a column now, the driver reads the same copy the submit checked, and a retry carries it. `FlowSummary.mode` came with it so the rail can say which flows are batch before one is picked. Also here: a Retry button on a finished run, which the route has always had and the UI never did, and parameter cells truncated to their column with the full value on hover. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_013TTfoK82awm8wvxXhHz3XF |
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d471614e6a |
Push a frame instead of storing and fetching it
The rate the media dtypes could carry was one frame every second or two: each
was a file on the data volume, an event on the socket, and a request back for
the bytes. This closes both halves of that, and they are one feature.
`save_artifact(..., volatile=True)` writes to a `VolatileStore` — the same
content-addressed store, in `/dev/shm`, bounded by size with the oldest falling
out (`ARTIFACT_VOLATILE_BYTES`, 48 MB under the container's raised `shm_size`).
Nothing sweeps it: a frame nobody kept is not worth walking the store to find.
`ArtifactStore.path` falls through to it, which is what lets a volatile frame be
an ordinary reference everywhere else — the dtype check, a panel's digest scope,
`load_artifact` in a node, and the widget's own fetch all work on one unchanged.
`adopt` copies one into the store when a run records it, so "returned media is
kept, emitted media is not" stays true.
The bytes then go down the flows websocket as a length-prefixed binary frame,
sent just ahead of the `message_value` naming them, so a tile has the frame when
it hears the value moved. Nothing is pushed unasked: a client names the messages
it is drawing (`{"type":"media","names":[…]}`), a panel's list is intersected
with the scope it already had, and only the newest frame per name in a batch is
sent — a client that fell behind is not handed frames it would draw over. The
tunnel relays text only, so a screen reached through a portal falls back to
fetching, which is why the rate table now has two rows.
Around the edges: the remote worker's fetch cache is bounded at last
(`FLUKSIO_ARTIFACT_CACHE_BYTES`), since content addressing means nothing in it
ever expires and a media stream fills it with chunks nothing asks for twice; a
port carrying an image draws the frame in the node panel rather than only
saying `image/png · frame.png · 1.79kB`; and an edge chip says that much instead
of a line of hash. The media screenshot stops waiting for `networkidle` — a
camera is a socket that never goes quiet, which is the point of it.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01YC4u66vjzW54fnHu5Juhh9
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518231aa39 |
Touch is a panel setting, and the rail grows with it
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It described the wrong object. A dashboard is a document that may hang on a
hallway tablet and in a desk browser at the same time, and only one of those
has fingers on it — so the flag moves off `DashboardDef.settings` and onto
`PanelDef` as a plain bool, ticked in the Panels dialog. `useCanvasRoot` takes
it as an argument rather than reading the document, and `/panel/{id}` is the
only surface with a panel to ask.
Dropping the message binding with it is deliberate: nothing drove it, and a
flow deciding whether a screen has fingers on it was never the point. A stored
`settings.touch` is inert rather than migrated, which `_check_settings`
skipping unknown names already guaranteed.
The rail was the other half. It had no touch behaviour at all and its 40px
buttons met neither branch of the 44/32 rule. `[data-touch] .dui-rail{-item}`
in `ui/core/core.css` spends the padding and the gap on the buttons instead,
so they reach the 44px target and the rail comes out taller at exactly the
same width — `RAIL_INSET` never moves, and the arrangement under it does not
either.
Also closes the panels-dialog icon gap: `DashboardSummary` carries the `icon`
now, so the dialog draws each assigned dashboard's rail glyph beside its
checkbox. `initials()` went from three identical copies in the looks to one in
`Dashboard/icons.ts`, so the dialog and the rail fall back the same way.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Va7ExQDtuwKN7kNpHhWWNQ
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8a94bf10d7 |
Close the nine open SDK tasks: one engine per directory, a tabbed dashboard, re-pairing, run recovery
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serve: refuse a second engine for one data directory whatever port it was asked for, using the pidfile and a token this directory signed. The check runs before the database is touched and before the credential is written, which is what left every later CLI call pointing at a dead port. The terminal dashboard is three tabs (Overview, Runs, Logs) with the toolbar following the focused pane, the engine's output goes to serve.log rather than down a pipe, and closing the screen stops both reader threads so the prompt comes back. It adopts a running engine on every start, so stop/start and restart work on one it did not start, and a stop waits for the process to be gone before the next start. Enrolment reports itself in the modal. enroll: a new claim code replaces the pairing instead of being refused. The code is redeemed before anything is written, mappings to a portal being left are cleared, and a running engine redials when the stored enrolment changes. runs: an engine re-queues the runs left `queued` by the one before it, and `fluksio retry <id>` / `retry --group <sweep>` submits an interrupted run again with the same inputs and group, recorded through Run.parent_id. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01U9BoNGq6V9MdRWAte7JBuC |
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d01a8dad37 |
Rename Installation to Instance
Follows the portal: the noun is "instance" everywhere the app says it — UI strings, CLI output, error details, docs and comments. The wire keys (`instance_id`, `instance_token`) and the hub route this calls move with it. An existing cloud.json is adopted rather than refused: without the key alias the dataclass fails to parse, which the caller swallows and reads as "never enrolled" instead of "reconnect". `instance_key` on a node type becomes `target_key`. It means the outside thing a node points at, which is a different sense of the word, and keeping both would put two meanings of "instance" in one codebase. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015YrQnKV3bnQd4K342y8tKj |
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302be52921 |
Let a jsonl export keep a record a value
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`--format jsonl` existed, but `_cell` ran json.dumps at row-build time, before a format was chosen — so a nested value was a string by then and jsonl only re-escaped it, leaving a consumer against csv's 128KB field limit either way. Stringifying moved to the csv writer, so csv is byte-identical and jsonl carries json. The runs TUI followed, or a record would draw as a Python repr. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01KYM38KSb4V4v2T71eifnZv |
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57eace2226 |
Bound what the API accepts, and close the holes the audit found
**SQLite is the database, and now says so.** `metric_minute` and every run
table are written with `sqlalchemy.dialects.sqlite.insert(...)
.on_conflict_do_update` and with `max(a, b)`, neither of which another
dialect has — so pointing `DATABASE_URL` at Postgres migrated cleanly,
served, logged in, and then lost every observability flush into the
collector's hold buffer and failed every run. It refuses at startup
instead. (The Postgres in the compose stack is Umami's; the engine's own
database has been a file beside the flows since 2026-08-21.)
**Every integer query parameter is bounded.** The caps were written as
`min(limit, 500)`, which a negative walks straight through — `?limit=-1`
compiles to `LIMIT -1` and SQLite returns the whole table. Ten signatures,
now `Query(ge=…, le=…)`. `hours=0` still means an hour, which
`_window_hours` was already deliberate about.
**Exports are capped at 10 000 runs** and say so with `X-Truncated`. The
filters bounded a sensible request and nothing bounded an unfiltered one,
which read every row into memory before a byte was streamed. `_series`
resolves cached curves in two queries rather than a `Run` lookup and a
`RunMetric` query per restored node — a comparison of twenty runs was
calling that twenty times over.
**`PUT /artifacts` has a size limit** (`MAX_ARTIFACT_BYTES`, 2 GiB, 0 to
disable), checked against `Content-Length` and again against the stream for
a chunked body, and its writes moved off the event loop.
**`/observability/timeseries` takes `since`/`until`**, the same window
`/runs` and `/events` take, capped at 2000 points — `hours=720&bucket_s=60`
was 43 200 of them in one array. It is also what a dragged chart needs to
re-fetch at its own resolution rather than magnifying buckets it has.
**Composite indexes** for the three list screens: `run(flow, created_at)`
and `(status, created_at)`, `flow_run(flow, started_at)`,
`engine_event(type, ts)`. Every index was single-column, so SQLite picked
one and sorted the rest by hand. Verified against a copy of a live database
(250k `flow_run` rows): the planner takes all four.
**Redis clients have socket timeouts.** A Redis that stops answering
without closing the connection hung the caller until the kernel gave up —
including `/utils/health/`, whose job is to notice.
**The panels file is written under one lock.** `save_panels` and
`unpair_panel` are both read-modify-write, and a save that read before an
unpair wrote put the old nonce back — silently un-revoking a screen that
had just been unpaired. The nonce carry-forward was written to make that
impossible; the gap between its read and its write is where it happened.
**Startup releases what it acquired.** Everything past `event_bus.bind`
registers how to close itself and the `finally` walks that list backwards;
a failure part-way through used to reach none of the shutdown steps and
leave the worker pool's subprocesses and every background task behind —
under `--reload`, once per bad edit. `modules.reconcile` moved into the
background: `uv` gets five minutes twice over, the healthcheck allows
eighty seconds, and the autoheal restarted the container before it could
finish installing.
`delete_run` takes SQLite's write lock up front (`core.db.writing`) rather
than upgrading a deferred transaction and losing to whichever flush
committed in between. `modules.sync` is serialised — two applies mutated
one venv at once. The proxied-call and stream dicts are bounded, and a
reused id cancels its predecessor instead of dropping the reference.
Security, found in passing and small enough to fix here:
- **`/secrets/` required only a signed-in user.** The names alone say what
this installation talks to, and `PUT /{name}` takes any name, so any
account could overwrite the credential a flow authenticates with.
Superuser now — which `/search` already assumed and said so.
- **`POST /login/access-token` had no rate limit.** Argon2 is deliberately
expensive and the route is unauthenticated and runs in the shared
threadpool. Ten *failed* attempts per address per five minutes; a
successful sign-in spends nothing.
- **a password reset link worked repeatedly for 48 hours.** The token now
carries a digest of the password hash it was minted against, so it stops
verifying once it has set one. No table of spent tokens needed.
- **enrolment accepted `http://`**, sending the claim code and then this
installation's credential in clear. https, or a local address.
- the rate limiter read `request.client.host`, which behind Traefik is the
proxy — so every per-address limit was one global bucket and one caller
could lock out everyone. It reads the forwarded address, and its
bucket table is capped rather than growing one key per address forever.
- SMTP has a timeout and sends after the response, so an unreachable mail
host cannot pin a threadpool worker, and a reply's timing no longer says
whether the address exists.
Test suite: engine-written rows are cleared between modules. A `FlowRun`
left `running` by one module turned up in another's query. Per-test
rollback is not available here — the module-scoped `client` runs the real
lifespan and its collector and run service write through sessions of their
own — so this bounds it where the writes come from. Three consecutive
green runs, orders randomised.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01M6hPWS6YEbT1P8LxhhFb2T
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68d2565054 |
Say at startup when a flow wants a card, and record one seed rather than two
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Three things the first pass left.
`serve` now names the flows asking for a GPU when the engine has none
declared. The placer already warned, but into the log, where a fresh install
that forgot `--gpus` does not read it — and the cost of missing it is GPU
nodes running concurrently, which is what the declaration exists to prevent.
The seed was the one field an export still had to coalesce: `--seed 1`
filled the run-level column and left `param.seed` blank, while a declared
seed filled the parameter and left the column blank. It is resolved like
every other input now, and the column carries the seed the run actually used
however it arrived — including when a parameter outranks the run's own,
where the column used to report the one that lost.
And the docs say plainly that declaring the card is what buys the worker
retirement: a node that imports jax without `resources={"gpus": 1}` never
gets CUDA_VISIBLE_DEVICES, so nothing marks its worker as one holding a card.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019Hra4ndWMCLU5F3KjUuVAc
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22c682e505 |
Put the deployment-only dependencies behind a server extra
A data-science environment installing fluksio waited for lxml, aiohttp and the rest of a connector stack it has nothing to talk to. Outbound mail, error reporting and the MQTT and InfluxDB clients moved to `fluksio[server]`, which the image installs; each import is guarded and names the extra. `tenacity` had no import site at all and is gone. 23 fewer packages and the compiled ones among them — a bare `pip install fluksio` still serves, runs every python node, and registers the mqtt and influxdb node types, which only need the library when one is actually built. sentry-sdk arrives anyway underneath `fastapi[standard]`; what changed there is that nothing of ours requires it. The dev environment keeps every extra: the suite exercises the connectors and strict mypy checks their call sites. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019Hra4ndWMCLU5F3KjUuVAc |
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73cd37a608 |
Export every recorded input, not only the ones that vary
`export runs` dropped a `param.*` column whose value was constant across the exported runs, so a downstream filter broke depending on which runs the selection happened to hold. Every input the selection recorded is a column now; `--params` still narrows it to a sweep's axis. The metrics default is unchanged. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019Hra4ndWMCLU5F3KjUuVAc |
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c050a7a52c |
Record the inputs a run actually starts from, not only the ones passed
A run submitted without explicit inputs recorded `params = {}`: Port
initials filled the values at node level and were never written back, so an
exported row had a blank `param.*` cell and the runs listing could not tell
a run that took every default from one submitted with those same numbers.
Declared initials are now folded in at submit, explicit values winning, and
the run-level seed still wins over a declared one.
`params_digest` is computed over the resolved values, so it changes shape
once: a run recorded before this does not dedupe against a newer identical
submit, and its stage-cache entries miss once.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019Hra4ndWMCLU5F3KjUuVAc
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7e506b26c0 |
Act on a run, and read Home top-down
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Runs: a run can now be deleted (DELETE /runs/{id}, cancelling a live one
first), exported as csv from the screen's own filters, and its flow label
opens the flow. Its "Parameters" panel became "Inputs" and lists every
input the flow declares, marking the ones that took the flow's own value
rather than the run's — the comparison table resolves the same defaults
instead of printing "unset".
Home reads brain, dashboards, health, flows: the mosaic is one full-width
scrolling strip, and the flows list and the flow-activity rollups merged
into a single left-joined table so a flow's state and its numbers sit on
one row.
Charts take a drag to narrow the x window and a double click or tap to
come back out. UplotChart holds the scale and passes resetScales:false
while a window is held, which is what the old comment said made this
impossible.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019LrWVRguqbk33YzfEeUx5W
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4215e057d1 |
Add a global search, and stop the sidebar logo squeezing
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`GET /api/v1/search/` hands the client one flat index of everything worth jumping to — flows and the nodes inside them, dashboards and the widgets on them, panels, secrets, modules, workers and alert channels — and cmdk matches it in the browser, so results narrow while typing without a round trip per keystroke. A node hit is the one thing no list endpoint could answer: it opens its flow with that node in focus. The panel is reached from **Search** above Documentation in the sidebar, or ⌘K anywhere. The flow canvas palette moves to ⌘P, being the narrower of the two. The panels dialog gains an address (`/dashboards?panels`) so a panel hit has somewhere to land, and the sidebar logo gets `shrink-0`: the rail's width animates while the logo is already back, and a flex item short of room is squeezed rather than clipped. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016vGH7jqcXxWKP9wZFPyVdU |
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7600aaf7ea |
Guard what a dashboard save does not change
`PUT /dashboards/{name}` had no backend test: three cover what it promises —
a first draft for a name nobody has used (200, not the 404 that came off in
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70e542ec3c |
Surface a failing connector poll as node health and a flow issue
The poll loop remembered what it read rather than what it published, so a value the node could not publish counted as said: the next poll skipped it, succeeded, and health went back to ok with the port still dark. Remember it only after inject returns, and report ok last. A node reporting itself down is now derived into its flow's issues on read and counted on the health summary, so the canvas marks it and Home says so. Being down does not stop the flow, and the issue clears by itself when the node reports well again. The repeating poll warning is logged once per outage rather than once per tick. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01K1moruzue2kTJd3uVisgNk |
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f8a7dfb101 |
A sync that changed nothing says so again
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Comparing the per-node digest against an engine that does not record one is comparing against nothing, and reporting every node as changed on every sync for ever — which is what a client newer than its engine did, since `NodeDef` drops fields it has never heard of. A node is named now only when both sides carry a digest, so a no-op sync is `unchanged` again and the signal one syncs for is back. That silence had also been the only sign of the mismatch, so sync now names it: one line saying the engine stored no record of what a node's code reaches, with both versions in it and what to run. Bumped to 0.1.6 — the digest changed the stored document's shape, and a version that does not move makes two different engines indistinguishable, which is the thing it was made load-bearing for a day ago. `— draft` was printed whenever there was simply nothing to publish, which reads as work left unfinished. It is said only when a draft is genuinely there, and `— published` when one was. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01A9Hdrmf2cwNABCnE5x9UJa |
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91ef2bbe9a |
Key a node on the code it reaches, not on the repository around it
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`sync` follows each node function's imports through the project's own modules — stopping at the standard library, at anything installed, and at Fluksio itself, whose checkout would otherwise be most of every digest — and records the file list with what it hashed to. The engine hashes those files again when the run is claimed, so the fingerprint is live rather than a snapshot, and falls back to what sync recorded when it cannot see them: a remote worker's runs used to share one empty digest, and therefore one key. Three things follow. Editing a helper a node calls into re-runs that node, as before. Editing something the node never reaches no longer re-runs anything — a notebook two directories away was invalidating every arm. And `Run.code_digest` is now the hash of its nodes' digests, so it is neither looser nor tighter than "the code behind these numbers", which is what makes it worth joining an exported table on. `sync` says so too: it compares the per-node digest against the stored one, so a helper edit prints `train: updated (flow, fit)` instead of `unchanged`. The digest is read when the document is built rather than when the flow is declared, so a second `sync()` in one process sees an edit between them. Also: `fluksio runs` shows only the inputs that differ from what the flow declares, fitted to the terminal, so a flow taking a few kB of json no longer wraps every line. Every existing cache entry misses once — the fingerprint changed shape. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01A9Hdrmf2cwNABCnE5x9UJa |
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4479eeb726 |
Follow a record into its fields, name the metrics, name the version
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Three things the first export pass got wrong for a real study. **Dotted paths.** A node returns a record, not a scalar — the numbers arrive inside `final_metrics` — so `--metrics final_metrics.train_loss` yielded an empty column and `--metrics final_metrics` yielded the whole record in one cell. Both sides of the wide table now take dotted paths, and the defaults reach the same depth: every number a result carries is a column named by its path, and inputs are compared leaf by leaf, so two configurations differing in one field give that field as the axis rather than two blobs that are merely not equal. Lists stay whole — a curve belongs in the long table. **`--list`.** Metric names are flow-qualified, so `--name train_loss` matched nothing and said only that. `fluksio export metrics --list` prints the names the selection carries, and an empty export made with `--name` points at it. **A version to compare.** The CLI ships ahead of the engine and a stale one answered a flat 404 with nothing anywhere in the API to tell how old it was. The engine reports `version` on `/observability/summary`, `fluksio status` prints it, and a 404 from export now names both versions — or says "older" when the field itself predates the engine. Bumped to 0.1.5, which is what makes the number worth reading. Also formats `flow/metrics.py`, which had been committed unformatted and was the last `ruff format --check` failure. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01A9Hdrmf2cwNABCnE5x9UJa |
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51464941ac |
Export runs and their curves as tables an analysis reads
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`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
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168aadb217 |
Hold a chart's last bin back until all of its data arrived
The newest metric bucket is upserted every flush while its minute runs, and both rollup endpoints summed it in — so every curve on Home ended on a fall that was only the clock. The timeseries now stops at the last closed bin, and the flow rollups' window ends on the last closed minute, so all sixty slices are whole ones. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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37a7df9d24 |
Let a sweep run more than four at a time, and name the run a failure was in
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Concurrent runs sat at 4 whatever FLOW_MAX_CASCADES said: that setting bounds cascades, and the run drivers read a hardcoded MAX_PARALLEL nobody could reach. FLOW_MAX_RUNS is the knob they read now, --max-runs/--max-cascades/--max-workers are the same three as flags on serve, and the engine says which numbers it started with — which is the only way to tell that a settings file was read. Events keep the run they happened in. The payload always carried it and the persist path dropped it, so reading one run's failures meant filtering the engine-wide list; a batch run's id reaches those events now too, since a run has no journaled item to name itself by. Also: a provisioner's 0 means "no deadline" rather than "cancel on the next reconcile", and a command that reaches no engine says how to start one. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015sbYeYaVgYQqm1sbx7wPdL |
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a82f88cf0a |
Name the sizes a node can ask for
Raw cpus and gpus are a property of the machines an installation has, so a node written against a cluster quietly stops meaning anything when the cluster is replaced. A node says "gpu-small" instead, and what that is stored here — editable, and read again every time the node is built, so changing the flavor changes what the next run gets. Memory joins the schema properly (`ram`, in MB, accepting "2G"), along with `duration_s` for how long a node is expected to take. That one is recorded and shown and nothing else yet: a statement for whoever is planning around the node, not a limit — the limit is still `timeout`. A flavor and a number for the same thing is refused, compared by value so an editor writing the whole object back with its defaults still round-trips. A name nothing stores is refused at the save, which covers the canvas and `fluksio sync` at once, and deleting one a node still asks for says which node. Four sizes are seeded on an installation that has none, and never re-seeded: re-adding one somebody deliberately removed is an argument nobody wins. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01A6HeySA27EkGANZN95QySW |
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0ffcabfdb9 |
Media dtypes: image, audio and video as narrowed artifact references
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A port may now declare `image`, `audio` or `video`. Each is the artifact
reference the engine already had, narrowed by the `media_type` on it, so a
speech recogniser declares what it eats rather than taking any bytes at all and
finding out. Bytes still never travel as a message and nothing on the wire
stops being JSON: a camera publishes one reference per frame, a microphone one
per chunk, and a reference may carry a `meta` dict nothing here interprets.
Streaming media is therefore an ordinary streaming port — with one change to
what that means. An emission used to journal an item with no payload, so
downstream read whatever was current when the item was claimed; a consumer
slower than its producer saw only the newest chunk and the ones between were
lost. That is right for a training curve and wrong for a second of speech, so
an emission now journals a `kind="emission"` item carrying its values, and the
executor hands them to the nodes reading that message instead of writing them
to state again. The value in state stays the latest, which is what everything
else reads, and the wave is filtered by what actually changed rather than
walking everything reachable. No queue serialization change — the existing
`outputs` field carries it.
Continuous media makes the store's missing GC a real problem, so this closes
it: `sweep_artifacts` runs hourly, keeps every digest a `run_artifact` row
records or a live message holds, spares anything written in the last hour, and
stands aside entirely while a run is in flight, since a node may store a
checkpoint long before it returns the reference to it. That also collects the
orphans a deleted flow has always left behind. `ARTIFACT_GC_INTERVAL_S=0` turns
it off.
Around the edges: `GET /artifacts/{digest}` serves the media type the caller
passes and answers ranged requests, so a browser plays a clip rather than
downloading it; `PUT` spools to disk instead of holding the whole body in
memory, as does `save_artifact` given a path; a Media widget draws whatever its
message points at, and a wall panel may fetch the bytes its own tiles are
showing and nothing else; and a connector gets `save_artifact`, for a device
whose readings are bytes.
What this cannot do is live video: a frame every second or two is a glance, and
the honest answer above that is the camera's own stream, which the widget takes
as a URL and the browser plays from source.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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2e82367926 |
Keep the file name a node gave an artifact
A run_artifact row is keyed by the message the bytes left on, and that was also the only name it could answer with — so an `@run:` reference resolved through the row was the same bytes under a name its producer never chose. The row now records the file name beside the message name; rows written before the column answer as they always did. The fallback also checks the bytes are still in the store, which the bare digest spelling beside it has always done. A missing blob now fails at submit rather than in the middle of the run that wanted it. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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4a38c6ed31 |
Name the code a run ran, and let an interrupted sync finish
Three faults with one root: the stored body of a code-defined node is an import shim, and nothing that mattered was ever read from the code itself. - The run stamp could not identify what ran. The shim imports whatever is on disk when the worker starts, and an uncommitted tree stamps <commit>-dirty for every run it ever produces. Run.code_digest hashes the repository's .py files, memoized on their stat state, and it is read again when the run is actually claimed -- so a sweep queued for hours records the code each of its runs executed, not the code that was there when it was submitted. - The stage cache adopted code that was too new. The fingerprint hashed the shim, which is invariant under any edit to the imported function or anything it calls into, so a re-run was served from cache and answered without the outputs the edit added. It now carries the repo digest and the node's declared ports. Every fingerprint changes once, which invalidates the existing cache; a canvas flow has no repository and keys as before. - An interrupted sync looked like a hand-edited canvas. The engine answers a new-node template for a node with no stored body, and the template carries no marker, so the drift check read "somebody edited this" and demanded --force -- for the one state that re-running the sync is the fix for. NodeSource.missing states the fact, and sync skips those and reuses the bodies it read instead of asking for each one twice. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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1f7c6646f1 |
Survive a busy engine: retry, idempotent submit, resilient waiting
A driver script died of one slow answer: httpx.ReadTimeout out of RunHandle.refresh() with a 30 s read timeout and no retry anywhere, which cost a sweep 78 of its 84 runs. - Split the timeout (5 s connect, 120 s read): a wrong URL fails at once, and a busy engine gets longer than the slowest thing it does on purpose (a 60 s compile, a 15 s rebuild wait). - Retry idempotent calls three times on a transport error or 502/503/504. 503 is the engine's own "ask again" — it is what RebuildBusy answers. - Submit carries a key the engine stores with the run, so a retry after a timeout returns that run instead of starting a second. A sweep keys every entry, so a half-created one recreates only what is missing. - wait() and --follow tolerate five failed polls in a row; a 404 still stops at once, because that is an answer rather than a gap. - CLI says "engine not answering" and names the run still on the engine, instead of printing a traceback. - runs: clamp the params column to 80 characters; events() takes the flow/since/until the endpoint already had; RunHandle.failures answers "what killed this run" from the run's own node rows. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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dd7db026e1 |
Announce an acknowledged node failure on the bus
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Clearing a node's last error on the engine published nothing, so a second browser kept the marker until its next snapshot. One event carries the qualified node; the receiving client drops the marker without refetching. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_013Gf7WaExcJ9bs3kfJXB3nK |
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1148e54c9e |
A run says whether the dashboard, the CLI or a script asked for it
`POST /runs/flows/{name}` hardcoded `cause: "api"`, so every row in the
history claimed the same origin. The body now carries an optional `cause`,
closed to the values the column knows — the dashboard sends nothing and stays
"api", `fluksio run` says "cli", and the SDK client says "sdk".
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013Gf7WaExcJ9bs3kfJXB3nK
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b194071ca5 |
Pick the run this test made, not the first one running
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The suite runs in a random order and a run left marked running by an earlier module lands in the same list, so asserting on data[0] failed on whichever seed put that module first. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_013Gf7WaExcJ9bs3kfJXB3nK |
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3503512d05 |
Report how long a run has been going, not just how long it took
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Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UytviPMJbXzD8P84nLvXcq |
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4350916bd8 |
Scroll the runs table, pick a range, and choose what a comparison plots against
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3c15964364 |
A cached node keeps its curve, and any input can name a run's output
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A cache hit still replays no emissions — those values were the story of an
execution that is not happening — but the run they were recorded in is now
written on the row (`run_node.cached_from`), and the metrics endpoints read the
series back from there. So a reused run answers `run.metrics("train.loss")`
with the same points the run that trained did, rather than looking like a run
that produced no numbers at all. Pointed at rather than copied: a sweep of 500
reusing one frozen node would otherwise duplicate its curve 500 times.
That needed the cross-flow restore fixed first. The cache key has no flow in
it while the stored outputs are named for the flow that produced them, so
`quick.prepare` getting a hit from `train` wrote `train.dataset` into `quick`'s
state and the next node was called without its argument. One rule now covers
both halves: `requalify` reads a name owned by one flow as the same name in
another, applied to the restored outputs, to the node id behind the pointer,
and to the series names on the way out. Reuse across flows is kept.
Also: `@run:<id>.<output>` and a bare `sha256:` digest resolve on every input,
not only artifacts. Chaining a run's json config into the next one from a shell
meant pasting the whole object inline, and the CLI could not even send the
spelling — `_coerce` died in `json.loads` before the engine saw it. Both
spellings are reserved on every input now, `str` included, and `_from_run`
returns whatever the run's result holds rather than only a reference.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dp9L6gakMVro1K2C5zdtBE
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7ff29ca939 | Make a dashboard its widgets: drop the pages and sections nobody drew | ||
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7e422c0047 | Count runs per flow, and page the run list by offset | ||
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4941c2787c |
Add fluksio status, and ask for a run's parameters at a terminal
Two halves of the same gap: the CLI could start work but not show you any. `fluksio status` draws the home screen's top half in a terminal — health and what is wrong with it, every flow with its state and node count, and the recent runs and failures under them. `--watch` keeps it there. Rich does the drawing; it was already installed under fastapi's own CLI, and is named now because a command depends on it. `fluksio run` with no parameters at a terminal asks for them, one line per declared input with its declared value in brackets — so Enter through the lot is what running the defaults looks like, and an artifact input takes the `@run:` spelling the engine now resolves. A scripted run is untouched: passing any parameter, or piping the command, skips the questions, as does --defaults. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019V5bsYGNxcgPs4xXmTPx69 |
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93374a310e |
Refuse what a node cannot publish, and stop timing out work that is fine
Four things the python SDK turned up, each fixed where every client sees it. A key no port declares is now an error rather than a silent drop, on the return, the yield and the emit alike — the contract the docs already stated. The SDK reads literal yields at sync time, so a typo fails before anything runs, and an emission of one fails the call rather than being logged where nobody looks. NaN and infinity are refused at the port. JSON cannot spell either, so one that travelled came back as a 500, a socket frame that stopped the canvas, or a metric batch the database dropped whole. An artifact input takes `@run:<id>.<output>` or a bare digest, resolved on the engine — so the CLI, the run dialog and a python caller mean the same thing, and a sweep can pass one at all. Node timeouts are off by default. The clock measured silence, which a training node is full of, and remote workers had already stopped enforcing it — their heartbeat reset it. Now a heartbeat proves the agent rather than the node, ninety seconds of nothing fails the call either way, and the engine touches work it is still running so a long node is not redelivered at sixty seconds. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019V5bsYGNxcgPs4xXmTPx69 |
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400d7d9c5c |
Stage caching for batch runs, and an engine that lives in the command
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A code node in a batch run is now fingerprinted by its source, its raw settings and the values it reads — an artifact input counting as its digest, which is what the content addressing was always for. A run that finds the key restores what the earlier one returned and skips the node, recorded as `cached`. The run history is the cache: `run_node.outputs` beside the `cache_key` the schema already had, no second store. On for code nodes, never for the built-in and connector types that have side effects; off per node with `@node(cache=False)` and per run with `--no-cache`. Emissions are not replayed on a hit, so a cached training node returns its result without redrawing its curve. Recorded in NOTEPAD.md with the two other deliberate limits. `fluksio run --local` boots the real app in the command's own process and drives it through its ASGI interface behind the ordinary client, so a run no longer needs a `serve` terminal beside it — same data directory, same history, and the cache carries between the two. It always waits, because the engine it starts lives exactly as long as the command. Also: `fluksio sweep --param lr=0.1,0.01` for the product of the lists, `run --follow` for a run's numbers as they arrive, Ctrl-C cancelling a waited run rather than abandoning it, coloured statuses on a terminal, and `name` made optional on the metrics endpoint so a follower can ask for every series. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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d4a9406c51 |
Fix the CI gates: Python 3.13, concurrency groups, hook violations
Docs / docs (push) Successful in 49s
Playwright Tests / test-playwright (1, 2) (push) Failing after 1m11s
Playwright Tests / test-playwright (2, 2) (push) Failing after 23s
pre-commit / pre-commit (push) Successful in 3m2s
Test Backend / test-backend (push) Successful in 2m22s
Compose Smoke Test / test-compose (push) Failing after 22s
Playwright Tests / merge-reports (push) Canceled after 1s
The gates have never gone green on the new runners. Three separate reasons: - backend/Dockerfile shipped Python 3.10 while the code imports typing.Self and datetime.UTC, so the container exited on import and the suite could not even load its conftest. The image moves to 3.13 and the packages declare >=3.12, which is the floor the tests actually pass on; ruff's target follows and rewrites timezone.utc and asyncio.TimeoutError accordingly. Relocking drops the 3.10 branch, which bumps FastAPI and so regenerates the SDK. - frontend/README.md had no trailing newline and two dashboard widgets used arbitrary text-[…] sizes. Both are em-relative on purpose, so they move to the inline style the neighbouring ramp already uses. - Every commit left its own run queued: without a concurrency group a runner that was offline for a while works through a backlog nobody reads. A stack that fails to come up now prints its logs before the teardown removes it. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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a38e2745eb |
Add a Python SDK: flows declared in your own repository
A data scientist keeps their code where it is and decorates it: `@node` declares a function's ports beside the function, `Flow(name, nodes=[...])` says which of them make a flow, and `use(fn, wire=..., **settings)` rebinds one for a single flow. `fluksio sync` uploads the document plus a generated import shim per node, so the store still holds a complete, runnable, git-versioned definition while the code it imports stays theirs. `fluksio login|run|runs` and `flow.submit().wait()` are the client half, over the run endpoints that already existed. Runs record the user repository's commit beside the store's, so "what code produced this number" is answerable on the side that now holds the code. - `fluksio/sdk/`: ports, decorators, the flow builder and its checks, the shim generator, an HTTP client and sync. Standard library only at import, so `from fluksio import node` in a training script pulls in no engine. - `FlowDef.origin` marks a flow code-defined; `Run.origin_commit` carries the repository's commit; `POST /modules/refresh` retires the workers without an install, which every sync calls — a worker holds the imported package in memory, so an edit to it is invisible until the process goes. - The canvas shows a generated body read-only and names the repository to edit instead; a body edited there stops the next sync rather than being discarded. - The worker's reporter carries inert `Port`, `node`, `use` and `Flow`, since the shim imports a module whose first line declares them. - `examples/myresearch` is the worked example, `make sync-example` uploads it. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012ue1tkFWB1bcGy3aWhCKpU |
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084194f77b |
Warm a worker before the node's clock starts, and refuse to delete a live flow
A node's timeout now covers its body only: the pool loads the source into the
worker it picked, off the node's budget, so imports that outlast the timeout no
longer make a node impossible to run. Draft checks compile without caching, so
saving does not evict what a busy node is serving calls from. Requests carry an
id the worker echoes and the pool checks, a reply is encoded once, and the
remote-exception cache is bounded.
DELETE /flows/{name} answers 409 while the flow has a running or queued run,
which is what was letting run_node rows outlive their run.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01StpRc2C6au1WJ1EUU7fsfu
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d958d7cde6 |
Add the dashboard settings channel, wired for theme and lock
A dashboard could only ever receive as a set of tiles. This adds the dashboard itself as a receiver: `settings` maps a name to a value plus an optional binding. Unbound, the setting is simply its value — a wall panel that is always dark costs no flow. Bound, a flow drives it live and the value is the fallback. Two settings are wired: `theme` (system/light/dark) and `locked` (read-only). There is no schedule field on purpose — a node publishing to the bound message on a cron is what a schedule is here, which is the point of a channel. - `messages_for()` now walks a dashboard's bound settings as well as its widgets' bindings. Without this a paired screen is refused its own theme message, on the one surface the setting exists for; it bounds the socket too. - `locked` is gated in `usePublish`, so every control inherits it, and each control also draws itself disabled — a dead button reads as broken otherwise. The panel surface says Read-only in the corner. - The theme is a class on the dashboard's own surface, never the root: inside the app shell it must not flip the chrome. `.light` gains the tokens `.dark` already had (mirrored in the index repo) so both directions work on a subtree. - Settings bindings are type-checked from the document alone, the rule widget bindings follow, and mirrored on the server. - A bound setting is drawn on the flow canvas as a dashboard-level endpoint. - The demo's house flow now publishes `home.panel_theme`, which the demo dashboard's theme binds to: the panel goes dark after sunset, at no tile cost. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_018tULRZJUkZsw7rMJ3h4xvu |
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6d84316ce5 |
Bound a panel credential to its own widgets, and let one screen be re-paired
Three things a paired wall panel needed.
The scope check now walks the panel's widgets instead of allowing the
`/messages/` prefix wholesale: a screen may publish what its own controls and
querying charts point at, read the history of what its tiles draw, and nothing
else — the catalogue of every message in the installation included. The same
walk that already bounds its socket, so both surfaces agree.
Pending pairing codes moved out of the per-process dictionary into Redis, keyed
per code with the code's own TTL and indexed in a zset so the fifty-code cap
means the same thing to every worker. Without a Redis there is one process by
definition, and the dictionary stays.
And a per-panel nonce in the token, bumped by `POST /panels/{id}/unpair`: that
refuses the screen hanging there without touching the panel, its dashboards or
their arrangement. A save cannot write the nonce back, so a stale client cannot
undo a revocation. Only for a credential this installation signed — one the
portal minted carries no nonce and is revoked at the hub.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018tULRZJUkZsw7rMJ3h4xvu
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961a8f881d |
Keep the engine's state in SQLite, not Postgres
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> |
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60d7ec81c0 |
Rename the import package app to fluksio
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> |