Commit Graph
3 Commits
Author SHA1 Message Date
jensandClaude Sonnet 5 da7e954b7c fix: make sim_warp_factor real-hardware-safe and sud logs forecast-reproducible
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
2026-07-01 19:50:50 +02:00
jensandClaude Sonnet 4.6 9be0e49a63 analyze_log: accept a direct log path as single argument
The two-argument form (date_time sud_name) is unchanged.  When called
with a single argument it is treated as a direct path to any log_*.json
(e.g. a server-session log without a Sud name); the forecast panel is
shown only if a matching forecast_*.json exists alongside it.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-30 19:11:31 +02:00
jensandClaude Sonnet 4.6 6ecfa2d38a Add utils/analyze_log.py: offline log/forecast plot script
Renders the same two plots the PyQt GUI shows (realtime 3-panel strip
chart and forecast-vs-actual comparison) from a log/forecast JSON pair,
specified by date_time and sud_name on the command line.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NSo8R6GjoBQdStB3j67zSs
2026-06-29 21:28:35 +02:00