server/brewpi.py: pass physics DT to ServerLogTask (not wall-clock DT_TASK)
so logs carry the correct integration timestep; log startup plant params as
the first PlantParams event so replay_sim can reconstruct them even when no
Sud is ever loaded (previously fell back to hardcoded defaults, causing ~3°C
temperature offset in replay).
tasks/server_log.py: accept and embed dt in log JSON; switch
log_plant_params() to wall-clock monotonic time (same base as sample t),
since the elapsed argument was simulated time and not comparable.
utils/replay_sim.py: switch to open-loop replay (plant driven by logged
power_eff, not sim controller output); use PidFactory so Smith vs Normal
controller type is honoured; set Td=0 in replay plant for Smith mode (logged
temp_ist is already Smith-corrected); feed Smith predictor's internal model
with real power; apply embedded PlantParams mid-run; prefer embedded dt over
sample-based fallback; clamp sim power ≥ 0; replace meaningless sim-power
trace in power subplot with power_set vs power_eff from the log.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
ServerLogTask now embeds the full config in its JSON output, matching
SudLogTask — so replay_sim and analyze_log work on server logs without
needing a separate config file.
replay_sim.py switches from two positional args (date_time, sud_name) to
a single log file path, with config and plant params resolved from the
log's embedded "Config"/"PlantParams" sections when present and falling
back to config.json / hardcoded defaults for older logs.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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>
Replaces the open-loop (feed real temp_ist) approach with a proper
closed-loop simulation: a Pot plant model is driven by the controller's
power output each tick, generating sim_temp_ist that diverges from the
real log's real_temp_ist whenever the PID params produce different
behaviour. Temperature panel now shows real_temp_ist vs sim_temp_ist
vs temp_soll so the effect of candidate gains is immediately visible.
Plant params (M, C, L, Td) default to 20 kg water / L=0.2 / Td=30 s
and can be overridden via --plant-* flags. Ambient defaults from config.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EY449HByk6UpKhDN2HTnfK
Feeds real temp_ist/temp_soll readings from a run log back into a fresh
TempController (Normal mode) tick by tick, then plots a 3-panel comparison
of heat rate and normalized power against the original logged values. Any
PID gain can be overridden via --<section>-<gain> flags so candidate params
can be evaluated against a past run without touching hardware.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EY449HByk6UpKhDN2HTnfK
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
jensandClaude Sonnet 4.6
jens