Files
app/backend/fluksio/flow/schemas.py
T
stroblmeandClaude Opus 5 400d7d9c5c
Docs / docs (push) Successful in 19s
Playwright Tests / test-playwright (1, 2) (push) Failing after 1m5s
Playwright Tests / test-playwright (2, 2) (push) Failing after 20s
pre-commit / pre-commit (push) Failing after 2m33s
Test Backend / test-backend (push) Successful in 2m7s
Compose Smoke Test / test-compose (push) Failing after 20s
Playwright Tests / merge-reports (push) Failing after 1m3s
Publish / publish (push) Failing after 12s
Stage caching for batch runs, and an engine that lives in the command
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>
2026-08-24 20:31:31 +02:00

324 lines
10 KiB
Python

"""The persisted shape of a flow, shared by the store, the API and the editor.
A flow is structure plus code: this module is the structure. Node logic for
``python`` nodes lives beside it as a plain ``.py`` file.
"""
from __future__ import annotations
import re
from typing import Any, Literal
from pydantic import BaseModel, Field, field_validator
from fluksio.flow.messages import MessageSpec
NAME_PATTERN = re.compile(r"^[a-z][a-z0-9_]*$")
def _validate_name(value: str) -> str:
if not NAME_PATTERN.match(value):
raise ValueError(
"Use lowercase letters, digits and underscores, starting with a letter"
)
return value
class NodeDef(BaseModel):
"""A node as stored: identity, configuration and ports.
Deliberately no canvas position. The editor lays a flow out itself, so
where a node sits is a fact about the drawing rather than about the flow —
and a graph nobody can arrange is one worth keeping small.
"""
id: str
type: str = "python"
title: str = ""
#: This node's settings: constants of its function, stored with the flow.
#: A function node reads them as keyword arguments beside its ports, so a
#: setting cannot share a name with one.
params: dict[str, Any] = Field(default_factory=dict)
requires: list[MessageSpec] = Field(default_factory=list)
provides: list[MessageSpec] = Field(default_factory=list)
#: Name of a shared source in the library, instead of this node's own file.
#: Editing it edits the copy every flow using it runs.
source_ref: str | None = None
timeout: float | None = Field(
default=None,
gt=0,
description=(
"Seconds this node's code may run before it is stopped. This "
"covers the first call's imports, which can be much slower than "
"the body. Above 60 the engine may deliver its work again while "
"it is still running — in a batch run, which never redelivers, "
"it is an idle timeout instead: silence this long is a kill."
),
)
device: str | None = Field(
default=None,
description=(
"Label of the worker this node's code must run on, such as 'gpu'. "
"Empty means the engine's own workers. A run needing a label no "
"attached worker carries waits rather than failing."
),
)
device_policy: Literal["require", "prefer"] = Field(
default="require",
description=(
"What to do when no worker carries `device`: wait for one, or run "
"locally anyway."
),
)
cache: bool = Field(
default=True,
description=(
"Whether a batch run may reuse an earlier execution of this node "
"with the same source, settings and inputs. Turn it off for a "
"function whose answer can change on its own."
),
)
@field_validator("id")
@classmethod
def _check_id(cls, value: str) -> str:
return _validate_name(value)
class FlowOrigin(BaseModel):
"""Where a flow was declared, when that was somewhere other than here.
A flow drawn on the canvas has no origin: the store is where it lives. One
stamped with this was declared with the decorators in somebody's own
repository and put here by ``fluksio sync``, so the node bodies below it
are generated imports and the code they run is versioned twice — once here
and once there. Its presence is what makes a flow code-defined.
Deliberately no timestamp. The store commits every change it is given, so
when a flow was last synced is a fact its own history already holds — and
one that would otherwise change on every sync, making an unchanged upload
look like a new version of the flow.
"""
kind: Literal["python"] = "python"
#: The repository root on the machine that ran ``sync``.
repo: str = ""
#: Its commit, and whether the tree had uncommitted changes at the time —
#: a run stamped with a dirty commit names code that was never stored.
commit: str = ""
dirty: bool = False
class FlowInput(BaseModel):
"""A message the flow starts with rather than computes."""
spec: MessageSpec
initial: Any | None = None
class FlowDef(BaseModel):
"""One atomic flow."""
name: str
title: str = ""
nodes: list[NodeDef] = Field(default_factory=list)
inputs: list[FlowInput] = Field(default_factory=list)
version: int = 1
mode: Literal["live", "batch"] = Field(
default="live",
description=(
"A live flow reacts to what arrives: its subscriptions, schedules "
"and webhooks run until it is stopped. A batch flow only runs when "
"a run asks it to, from its inputs to its outputs, and is never "
"activated."
),
)
outputs: list[str] = Field(
default_factory=list,
description=(
"Messages a batch run reports as its result, unqualified. Empty "
"means every message the flow ends up holding."
),
)
origin: FlowOrigin | None = Field(
default=None,
description=(
"Set when the flow was declared in code elsewhere and uploaded by "
"`fluksio sync`. Absent for a flow drawn on the canvas."
),
)
@field_validator("name")
@classmethod
def _check_name(cls, value: str) -> str:
return _validate_name(value)
class NodeSource(BaseModel):
"""The Python source of a node."""
code: str
Health = Literal["ok", "degraded", "down"]
class NodeStatusPublic(BaseModel):
"""Whether a node loaded, and how its connection is doing."""
id: str
status: str = "active"
error: str | None = None
health: Health = "ok"
health_detail: str | None = None
#: The node's last runtime failure, kept after it runs again: a failure
#: that fired an alert should leave a trace of what it was.
last_error: str = ""
last_error_ts: float | None = None
class MessageValue(BaseModel):
"""The last payload seen on a message."""
value: Any = None
ts: float | None = None
class HistoryPoint(BaseModel):
"""One numeric value a message carried, and when."""
ts: float
value: float
class MessageHistory(BaseModel):
"""A message's recent numeric values, oldest first.
Only numbers are recorded, so ``numeric`` tells the panel whether an empty
series means "nothing plottable here" or "nothing has arrived yet".
"""
message: str
numeric: bool = False
points: list[HistoryPoint] = Field(default_factory=list)
class FlowSummary(BaseModel):
name: str
title: str = ""
node_count: int = 0
error_count: int = 0
has_draft: bool = False
enabled: bool = True
paused: bool = False
# Its background tasks kept crashing, so the engine stopped restarting them.
quarantined: bool = False
#: Of the working copy, so publishing from a list needs no second read.
version: int = 1
class FlowsPublic(BaseModel):
data: list[FlowSummary]
count: int
class LibraryNode(BaseModel):
"""A node source shared across flows, and who is using it."""
name: str
used_by: list[str] = Field(default_factory=list)
class FlowStatePublic(BaseModel):
values: dict[str, MessageValue] = Field(default_factory=dict)
nodes: list[NodeStatusPublic] = Field(default_factory=list)
class ModulePackage(BaseModel):
"""One package installed in the venv node code runs on."""
name: str
version: str
class ModulesInfo(BaseModel):
"""The venv node code imports from, and the manifest that describes it."""
python_version: str = ""
venv_path: str = ""
requirements: str = ""
packages: list[ModulePackage] = Field(default_factory=list)
#: Whether what is installed matches the manifest.
applied: bool = False
#: True when node code runs on the venv Fluksio was installed into rather
#: than one the engine built. That venv belongs to whoever made it, so the
#: manifest does not describe it and nothing here installs into it.
adopted: bool = False
class ApplyRequest(BaseModel):
"""A pip manifest, one requirement per line."""
requirements: str = ""
class ApplyResult(BaseModel):
ok: bool
output: str = ""
class BrainNode(BaseModel):
"""One neuron: a thing the engine talks to, or a node that only computes.
Nodes of the same type pointing at the same outside thing — one broker
topic, one URL, one bucket — are a single entry here, whichever flows they
sit in. ``members`` are the ``flow.node_id`` names behind it, which is also
what the live events are keyed by.
"""
id: str
label: str
kind: str
members: list[str] = Field(default_factory=list)
flows: list[str] = Field(default_factory=list)
issue: str | None = Field(
default=None,
description=(
"Why this neuron cannot run, if validation found something. A "
"failure the engine hits while running arrives over the socket "
"instead; this is the part that is already true before anything "
"fires, and so has to travel with the graph."
),
)
class BrainEdge(BaseModel):
"""Messages carrying values from one neuron to another."""
source: str
target: str
messages: list[str] = Field(default_factory=list)
class BrainGraph(BaseModel):
"""Every published flow at once, merged on what its nodes talk to."""
nodes: list[BrainNode] = Field(default_factory=list)
edges: list[BrainEdge] = Field(default_factory=list)
class NodeTypeInfo(BaseModel):
"""A node type the editor can offer, with its parameter schema."""
type: str
title: str
description: str
params_schema: dict[str, Any] = Field(default_factory=dict)
has_source: bool = False
#: Whether this type takes settings beyond the ones its schema declares.
#: A function node's settings are its author's to name, and reach `process`
#: as keyword arguments beside its ports.
free_params: bool = False
#: The package a connector came from; empty for the built-in types.
plugin: str | None = None