Window._elapsed_min() (client/brewpi_gui.py) reconstructed the dynamic
forecast's x-axis from wall-clock time times the server's nominal
configured sim_warp_factor. But that warp factor is only nominal -
real asyncio/Python scheduling overhead across the 7 concurrent tasks
means the actually-achieved speedup runs measurably below it (~80x
instead of 100x, confirmed by timing HoldRemaining countdowns against
real elapsed time), especially under heavy message/print load. Since
the GUI's reconstruction assumed a precise, constant mapping, the live
measured trace visibly drifted behind the forecast - most visible on
short, transition-dense test schedules where the timing slip is a
large fraction of the total duration.
components/sud.py: Sud now tracks 'elapsed' (tick-counted simulated
seconds since the run started, frozen while PAUSED/IDLE/DONE, reset on
start()) - the ground truth for run progress, immune to real-world
pacing jitter. tasks/sud.py broadcasts it as {'Sud': {'Elapsed': ...}}.
client/brewpi_gui.py: replaced sud_start_time/sud_paused_total/
sud_pause_started_at and all the wall-clock reconstruction in
_elapsed_min() with sud_elapsed_seconds, set directly from the
server's 'Elapsed' broadcasts - simpler too, since pause-freezing is
now handled server-side rather than needing separate client-side
bookkeeping.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LhiQe64F74uHV8jzuoSa5K
jensandClaude Sonnet 4.6
44b1b0c705