config.json.templ's component names already default to "sim" for every
backend (sensor/heater/stirrer/plant), making the separate .sim template
mostly redundant - it only differed in dt/sim_warp_factor/PID gain tuning,
which .templ now adopts directly. Removes config.json.sim, updates
brewpi.py's CLI args (-m/--logdir replaces the unused -d/--model/--sim
flags), and refreshes the README/TODO references that pointed at the now-
removed file.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DkkuG48uHFCGKe6dPSERFk
Drop the now-stale "config.json.templ/.sim still carry dead
Model.kn/Plant.kn keys" note (they were deleted), note that Pot now
always starts at theta_amb (no separate initial-temp param) and that
dropping the gain (efficiency) factor entirely is a partial realism
regression, not just a fix. Point the config-validation item at the
gain key that's still dead in config.json.sim. Also update demo_sud.py
to match the Pot params Pot.__init__ actually reads.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The unconditional p_loss/theta_amb/temp prints (left over from the
heat-loss-units fix) ran every tick, spamming stdout in both the
server and every demo script. Drop them and check off the matching
TODO.md item.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Both TODO.md backlogs and the README's architecture section still
described the Kalman-filter/heat-diffusion design that's since been
replaced by the delay-line Pot model and Kalman-free Smith predictor.
Check off the items that rewrite already fixed (heat-loss units,
transport delay vs. single-pole lag, three-Kalman-tuning), note how
the kn/sensor-noise item was resolved differently than proposed, and
add newly-spotted issues: brewpi.py wiring set_model_power
unconditionally (breaks pid_type "Normal"), kalman.py being dead code
in production, stale Kalman/kn keys in the config templates, and
debug print()s left in Pot.process().
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Review of pot.py found a likely root cause for sim-vs-real control
mismatches: the heat-loss term carries the wrong units, masking
ambient cooling in simulation. Also notes the dropped sensor-noise
term, hardcoded ambient temp, and lag-vs-dead-time modeling gap.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
jensandClaude Sonnet 4.6