sim_warp_factor was scaling DT_TASK unconditionally, including against real
hardware, and was leaking into recorded sample timestamps via wall-clock
time - both violate its intended meaning (a reciprocal scale on task wait
time only). Clamp it to 1.0 whenever Heater.type isn't "sim", and track
elapsed time via tick-counted accumulators (Sud.elapsed for SudLogTask, a
matching one for ServerLogTask) instead of time.monotonic().
Sud/server logs now also carry HeaterPowers, the effective SimWarpFactor,
the raw Doc, a correct Name, and ForecastAnchors (one entry per real
_reanchor_forecast() trigger) - enough for utils/analyze_log.py to rebuild
a SudForecastEstimator and replay the exact same splice-per-transition
forecast correction offline that a live client sees, replacing the old
(always-dead) forecast_*.json sidecar lookup.
Two bugs found and fixed along the way:
- ServerLogTask's periodic wall-clock checkpoint had no way to know a
SudLogTask run had just ended, so it would immediately re-write the
just-completed log with PlantParams/ForecastAnchors cleared back to
empty. Gated the checkpoint on _should_sample().
- _reanchor_forecast() truncated the old forecast against real elapsed
time, which can end up numerically less than the old forecast's own
(very wrong) speculative timestamps once a WAIT_USER confirmation runs
long - leaving a "ghost" segment instead of a clean cut. Truncate
against forecast_step_starts[index] instead, which lives in the same
coordinate space as the forecast being cut.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01JFDeoTKBDkXRhPfnyDEoBt
jensandClaude Sonnet 5
da7e954b7c