tickProduction and tickShipyardProduction cleared the finished cycle and then
refused to start another in the same tick, so every cycle really took its
duration plus one tick. The cost scales inversely with duration: a 1s recipe
ran at 31 ticks instead of 30 and lost 3.2% of its throughput, a 12s recipe
0.3%, which skewed the relative rates the recipe tree is tuned around.
Fall through from completion into the start attempt instead. The start code is
straight-line, so at most one cycle still begins per building per tick, even
for a duration that rounds to zero ticks, and the outputs just deposited count
against the space check, so a cycle whose output no longer fits waits exactly
as it did before.
The balancing model already computed rates as amount / duration_seconds
(tools/threat_report.py), so this brings the simulation up to the documented
numbers rather than moving them. The combat arena never ticks production, so
its tuning is untouched.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ne3mejABZoLWKLh8fgpM3x
tickProduction never starts a cycle in the tick one completed, so a building
running back to back is idle for exactly one tick per cycle. The status light
classified that tick as "output full" -- hasInputsToStart looks at the input
buffers alone -- so the pill blinked green/yellow once per cycle, roughly once
a second on a one-second recipe.
REQ-UI-STATUS-LIGHT already says a building that is idle yet blocked by
neither condition shows green. Add canStartCycle(), which requires a candidate
recipe's inputs *and* room for its output, and classify on it; yellow now
needs an output buffer that genuinely cannot take the next cycle. The
Reprocessing Plant rolls its output in the simulation, so the classifier
judges it by the smallest amount any roll could yield.
tickProduction's space check goes through the same outputBufferHasRoom(), so
the simulation and the light cannot drift apart.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ne3mejABZoLWKLh8fgpM3x