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>
This commit is contained in:
2026-08-24 20:31:31 +02:00
co-authored by Claude Opus 5
parent 7a9502883a
commit 400d7d9c5c
23 changed files with 1147 additions and 58 deletions
@@ -0,0 +1,42 @@
"""run_node.outputs, run.no_cache
What a node returned, so a later run with the same cache key can skip it and
restore its outputs instead of executing it again. `run.no_cache` is the
per-run way to ask for the whole graph to run regardless.
Revision ID: c9a5d1e73b48
Revises: b7c21f4d9e30
Create Date: 2026-08-24
"""
import sqlalchemy as sa
import sqlmodel.sql.sqltypes
from alembic import op
# revision identifiers, used by Alembic.
revision = "c9a5d1e73b48"
down_revision = "b7c21f4d9e30"
branch_labels = None
depends_on = None
def upgrade():
op.add_column(
"run_node",
sa.Column("outputs", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
)
op.add_column(
"run",
sa.Column(
"no_cache",
sa.Boolean(),
nullable=False,
server_default=sa.text("0"),
),
)
def downgrade():
op.drop_column("run", "no_cache")
op.drop_column("run_node", "outputs")