A sweep may deploy 210 rows (available) in chunks of 80. Three declared
blocks hold exactly that when there is no priority line, but priority
rows get a chunk of their own that is never topped up with regular rows.
Nine priority rows therefore occupied a whole block, left the regular
rows 2 x 80 = 160, and 42 rows of budget went unused.
Adding a block to the YAML alone would not have changed that:
matrix.chunks_of handed the split slots.chunk_count(), which is
min(ceil(available / chunk size), INFINITO_CI_MAX_CHUNKS) and ignores
the priority seam, so the plan still stopped at three blocks.
call-orchestrator.yml now declares test-deploy-chunk-3, gated on chunks
0 to 2 like every chunk gates on all before it, and report-main-failures
and done need it. INFINITO_CI_MAX_CHUNKS is 4, one above what the budget
fills, and slots.chunk_blocks() returns it. chunks_of hands the split
every declared block; available still caps the rows, and a chunk whose
slice comes back empty skips its deploy. chunk_count() stays the "chunks
filled" figure of the budget report.
Tests: the split spends 9 + 80 + 80 + 41 = 210 rows with a spare block;
chunks_of plans three chunks from chunk_blocks=3 while chunk_count=2
(the previous wiring yields [1, 10]); an integration guard requires the
declared chunk jobs to equal INFINITO_CI_MAX_CHUNKS and to exceed
ceil(available / chunk size) by one, and fails on the stale value 3.
A shell that inherited INFINITO_CI_MAX_CHUNKS=3 keeps failing that guard
until it is restarted; make dotenv-force rewrites .env.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
The regular rows began wherever (sweep * capacity) % count pointed. On run 210
that was offset 68: chunk 0 opened at candidate 69, the coverage-first head of
the list went undeployed, and no two runs could be compared because the window
moved with the run number. A run that looked wrong turned out to be merely
rotated, and finding that out meant recomputing the arithmetic by hand.
The rotation is gone. Chunk 0 reads the ranking from the top unless an offset
says otherwise, and the offset is an input now, threaded from the manual form
through the orchestrator and the deploy call down to the matrix builder. The
plan renderer takes the same flag, so the table shows the window the run will
take.
The offset is a row count or a selection token. A token is the honest form:
the ranking shifts whenever a variant appears, so 'offset 84' means something
different tomorrow while 'web-app-nextcloud#5' still means the same row. Axes
the token leaves open match anything, so a bare role name starts at its first
row and a pasted job label starts at exactly the job it names. A token that
matches no regular row aborts rather than silently starting at the head an
operator meant to skip.
The run title carries it as ⏩ followed by the value, and only when one was
asked for, so a rotated-looking run says so in its own name and the retrigger
reads it back from there when a job log has expired.
resume_from_chunk leaves the manual form with it. Skipping whole chunks was
the coarse way to say 'carry on further down'; the offset says it exactly and
keeps the rest of the chain intact. The orchestrator input stays for the other
entry points.
What this gives up is automatic tail coverage. Rows beyond the budget are
reached by moving the offset, widening the budget or narrowing the selection,
not by waiting for consecutive sweeps to walk the list.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
One discovery query per run replaces one per mode, so the row basis, the
ranking and the budget cut all speak the same role#variant unit. The
result is deployed in serial chunk blocks rather than three parallel
mode matrices.
Chunk size is derived, not pinned: GitHub cancels a job queued for
INFINITO_CI_QUEUE_HOURS, so with INFINITO_CI_CONCURRENCY runners free a
chunk holds concurrency * floor(queue_hours / the deploy job's
timeout-minutes) rows. Assuming every job burns its full timeout is
deliberately pessimistic -- no job can outlast it -- so the drain
estimate can only overshoot.
The run job cap bounds the sweep as a whole; rows beyond it roll into
the next sweep, whose regular line starts at an offset so consecutive
sweeps walk the whole list instead of re-testing the same head. Priority
rows lead every sweep, never move with that offset, and force a chunk
boundary at the seam so a chunk is either all priority or all regular.
sequencing.py goes with the mode lines it ordered: chunking restarts the
queue clock at a controlled size, which is what serialising the modes
was approximating with three buckets of arbitrary size.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
kevinveenbirkenbachandClaude Opus 5