Each StepPlate on the Progress tab now shows a step's energy use in
Wh - live and growing while it's the active step, frozen at its final
total once finished, blank before it's ever been reached.
Integrated server-side from the heater's own live effective power
(pot.get_power(), already fed from heater.power_eff - see server/
brewpi.py's wiring), since actual energy used can't be predicted from
the forecast like the timing/temperature fields are, only measured as
it happens. Banked into energy_by_step on every genuine step
transition (on_step_changed(), keyed off the same index-change check
used for the ramp->hold phase switch), including the final transition
to DONE; reset on every fresh Load.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019qvu5giu7gvRCyEWzf2Vpx
Reconnecting to (or any client-side Save fetch of) an already-running
Sud showed the wrong step active and bogus remaining times, traced to
two independent bugs:
- recv()'s 'Save' handler always called send_forecast(doc), which
resimulates the *entire* schedule cold from step 0 - fine for a
not-yet-started Sud, but for one already running it silently
overwrote the forecast/forecast_step_starts that _reanchor_forecast()
had been accurately, continuously maintaining with a context-free
"starting now" guess. Now skipped whenever a run is already in
progress, re-sending what's already there instead.
- _reanchor_forecast() recomputes each step's real start time
asynchronously, so that recomputation can itself be (and routinely
is) superseded and discarded by a later transition's reanchor before
ever committing - and the next *successful* commit's "everything
before my index is real" filter would then preserve whatever stale
prediction was sitting there before, sometimes for a step that
hadn't even happened yet by the schedule's real position.
on_step_changed() now also records each step's start synchronously,
immune to that race.
- Client-side, update_sud_forecast() unconditionally reset sud_step_
index/forecast_step_starts/etc. on every 'Json' push - correct for
an actual Load, but connect()'s unconditional Save request produces
a standalone 'Json' push (no Step/State alongside it, unlike the
subscribe-triggered replay) for the *same* already-running schedule,
wiping the correct state with nothing left to restore it. Now only
resets when the incoming doc actually differs from the last one
processed.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019qvu5giu7gvRCyEWzf2Vpx
A glance at the Automatic tab's forecast plot couldn't show where the
brew actually stands within its own schedule - just a curve. The new
Progress tab stacks one StepPlate per step instead: an LED for its
status (off/done/active-ramping/active-holding), its resolved target
temp, masses and ramp rate, plus, for whichever step is currently
active, live actual temp and stirrer state (frozen at their last
value once that step finishes) and a forecast-based remaining-time
countdown.
The countdown needs to know where each step actually begins in the
forecast's timeline, which the server didn't track before -
SudForecastEstimator.estimate() now returns per-step start times
alongside t/theta, and SudTask threads them through send_forecast()/
_reanchor_forecast() the same way (including the same generation-guard
against the concurrent-call race) as a new 'StepStarts' field on the
'Forecast' message.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019qvu5giu7gvRCyEWzf2Vpx
Reanchoring used to only happen when a user confirmed a WAIT_USER
step, so anything the schedule advanced through on its own (a ramp
reaching target, a hold timing out) left the forecast showing a
stale, increasingly wrong prediction once reality diverged from it.
_reanchor_forecast() now fires from on_step_changed() on every real
transition, splicing in a fresh simulation anchored at the real
current temperature/elapsed time instead.
Also fixes two bugs surfaced while testing that change:
- estimate()'s early-return for an empty/not-yet-loaded schedule still
returned the old 4-tuple shape, crashing every connection before a
Sud was ever Loaded.
- send_forecast() and _reanchor_forecast() can run concurrently (e.g.
a fresh Start triggers both at once), and whichever resumed second
after its own worker-thread simulation would blindly splice its tail
onto whatever the other had already written, producing a spurious
connecting line across the plot. Both now carry a generation counter
and discard their result if a newer call has since committed.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019qvu5giu7gvRCyEWzf2Vpx
send_forecast() was defaulting to a cold start at ambient (SudForecastEstimator.
estimate()'s default when start_theta isn't passed), so the forecast's t=0
never matched whatever temperature the pot actually was at - understating
how long the first ramp would really take whenever it wasn't already cold.
Anchoring at tc.get_theta_ist() seemed like the obvious fix but isn't
reliable right after Load: that's only ever updated inside process(), which
a model-based controller (Smith) doesn't run until its plant params are
configured - which now only happens once a Sud is loaded (see the
"inert until loaded" change) - so theta_ist can still be sitting at its
never-updated __init__ default of 0 the instant send_forecast() reads it.
Added TempControllerBase.get_theta_ist_set() (mirroring the existing
get_theta_soll_set()) - the raw sensor reading, updated the instant a
reading comes in regardless of whether process() has ever run - and used
that instead.
That still leaves a gap between Load and Start: the real temperature can
drift (time passing, manual heating via the Manual tab) between loading a
schedule and actually starting it, leaving the forecast anchored to a
now-stale temperature. recv()'s 'Start' handler now re-sends the forecast,
freshly anchored to the real temperature at that moment, on every fresh
start (not a Pause->resume, which keeps the already-established forecast
rather than discarding it mid-run).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DkkuG48uHFCGKe6dPSERFk
A fine enough dt over a multi-hour brew can produce a single Forecast
message several MB in size - large enough to exceed the websockets
library's default 1 MiB max_size and get the connection closed outright
(code 1009) right after Load. Confirmed by reproducing with dt=0.1: the
276KB message at dt=1 was safe, but the equivalent ~2.7MB at dt=0.1
reliably disconnected the client.
SudTask._send_forecast() now thins T/Theta to at most MAX_FORECAST_POINTS
(1000) via simple decimation before sending - self.forecast_t/
forecast_theta themselves stay at full simulated resolution, since
_continue_forecast_after_confirm()'s bisect-based truncation needs exact
t-value matches, and SudLogTask's logs/forecast_*.json wants full
fidelity. Only the copy actually sent to clients is thinned, which the
GUI's few-hundred-pixel-wide plot can't show the difference from anyway.
Verified against a live server+client over the real WebSocket connection
with the dt=0.1 config that originally triggered the disconnect: 4/4
clean runs, forecast arrives capped under 1000 points, and the rendered
plot is visually identical to the un-downsampled version.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DkkuG48uHFCGKe6dPSERFk
Sud now parses top-level grain_mass/water_mass (sibling to pot_mass/
pot_material/L/Td, defaulting to 0/0) - what's actually in the pot before
the brew starts, as opposed to default.step's grain_mass/water_mass, which
is just inert template filler. All sude/*.json docs gain explicit values
matching what their first step already resolved to.
tasks/sud.py's apply_plant_params() now takes grain_mass/water_mass
directly instead of a step dict: on_step_changed() still passes the active
step's own (these vary as malt goes in/water boils off), but the Load
handler now reads Sud.grain_mass/water_mass directly instead of parsing
schedule[0]. The GUI's status-line mass preview (shown immediately on
Load, before Start) does the same.
Also fixes a latent bug found along the way: _continue_forecast_after_confirm()'s
reconstructed sub-doc was missing L/Td/grain_mass/water_mass entirely,
silently falling back to generic defaults instead of the real Sud's own
values - invisible only because every current sude/*.json happens to use
those same defaults.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DkkuG48uHFCGKe6dPSERFk
on_step_changed() only re-applies plant params (pot mass/material, L, Td,
grain/water mass) once Sud.step actually changes to a real step - which
doesn't happen on Load (Sud.load() resets step to None), so the controller
kept using whatever the previously loaded Sud (or the generic startup
baseline) had until Start. SudTask.recv()'s Load handler now calls
apply_plant_params() against the new schedule's first step right away, so
the controller already matches the expected plant the moment a Sud is
loaded.
Also replaces server/brewpi.py's hardcoded DEFAULT_PLANT_PARAMS with a
baseline derived from Sud's own (still-unloaded) generic defaults
(EMPTY_SUD's pot_mass/L/Td), used only for the brief startup window before
any real Sud is ever loaded - numerically identical to the old constant.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DkkuG48uHFCGKe6dPSERFk
Sud now parses top-level L/Td fields from sude/*.json (defaulting to 0.2/30,
matching the old hardcoded server constants), and derive_plant_params()
returns them alongside M/C - constant for the whole brew, unlike M/C which
vary per step with grain/water mass. All sude/*.json docs gain explicit
L/Td fields.
Callers (tasks/sud.py, SudForecastEstimator, demo_sud.py) switch from the
narrow set_thermal_params(M, C)/set_model_params(M, C) to the full
set_plant_params(params)/set_model_plant_params(params), since
derive_plant_params() now always returns all four keys; both narrow setters
are removed as dead code.
Caught along the way: Pot.set_plant_params() unconditionally rebuilt the
Delay ring buffer, which was harmless when only ever called once at
construction - but now running on every Sud step change, it was wiping
in-flight delayed power at each step boundary. Fixed to only rebuild when
Td actually changes; verified this restores the exact original forecast
result for sud_0010.json.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DkkuG48uHFCGKe6dPSERFk
_continue_forecast_after_confirm()'s bridge was repeating forecast_theta[-1]
to cover the real-world wait, but that's whatever value the simulation
happened to log the instant WAIT_USER tripped - often still mid-ramp, not the
step's actual hold target. The real controller stays enabled and actively
holding throughout WAIT_USER, so capture its setpoint (tc.get_theta_soll_set())
in recv() before calling Sud.confirm() - confirming synchronously pushes the
next step's own target onto it - and use that to fill the gap instead.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DkkuG48uHFCGKe6dPSERFk
A user_wait_for_continue step used to stop SudForecastEstimator.estimate()
dead, so the GUI's forecast plot only ever showed the first segment on Load.
Model the wait as a zero-delay auto-confirm instead, so the whole schedule's
projected curve is visible right away; correct that assumption piecewise as
real confirmations actually happen, anchored at the real elapsed time and
temperature.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DkkuG48uHFCGKe6dPSERFk
Previously, the dynamic forecast's projected remainder was fully
recomputed on every step change, and a step requiring user
confirmation was simulated with zero added delay ("count it as
instant for estimation purposes"). Both undercut the actual goal of
the forecast: an honest comparison between real control behavior and
a simulation-based prediction. A forecast that keeps re-anchoring
itself to match reality isn't a useful baseline to compare reality
against, and assuming zero confirmation delay quietly understates the
schedule.
components/sud_forecast.py: SudForecastEstimator.estimate() now stops
simulating at the first step requiring user confirmation instead of
auto-confirming, returning the final SudState alongside the data so
the caller knows whether it stopped there or actually finished.
tasks/sud.py: SudTask now accumulates the forecast across piecewise
segments (forecast_t/forecast_theta). send_forecast() computes only
the first segment, at Load/Save. The real Confirm handler triggers
_continue_forecast_after_confirm(), which computes the next segment
anchored at the real elapsed time and real current temperature -
bridging the unforecastable wait with a flat segment rather than
guessing at its length - and sends the updated, stitched Forecast
(now carrying a Finished flag). The old per-step-change
RemainingForecast recompute is gone entirely, along with
remaining_schedule()/send_remaining_forecast().
client/brewpi_gui.py: SudForecastPlot redesigned around this - the
dashed line is the fixed, piecewise forecast (locked axes, untouched
except when a genuinely new segment arrives via show_forecast());
the solid line is purely the actual measured trace
(show_dynamic(), now only touching that). extend_forecast_while_
waiting() repeats the forecast's last value while the real Sud sits
in WAIT_USER, so the dashed line doesn't just stop, then snaps to the
new segment the moment the real confirmation appends one.
Verified via a raw-protocol test (segment boundaries, the Finished
flag, and real-time stitching across a confirm delay) and visually in
the GUI (locked dashed forecast, "X min so far total" title while
incomplete, solid/dashed comparison rendering with realistic
convergence/divergence).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LhiQe64F74uHV8jzuoSa5K
WsServerMultiUser.global_state persists every message ever broadcast
and replays the full accumulated state to any client that subscribes
- by design, so a client connecting fresh or reconnecting mid-run
always gets the same complete picture (see README's new "State replay
on connect" section). That mechanism has no concept of "transient":
the {'Sud': {'Error': ...}} added for Load-rejection got treated as
durable state just like everything else, so any client connecting
after the fact - even one that never touched Load - got the stale
error replayed on connect. Confirmed live before this fix.
tasks/sud.py: send {'Sud': {'Error': None}} immediately after the
error itself, clearing it back to neutral in global_state.
client/brewpi_gui.py: on_sud_changed() treats a falsy Error as a
no-op instead of popping an empty dialog.
README.md: documents the underlying principle (client state replay
on connect, and the corollary that one-shot events need explicit
clearing) under a new Architecture subsection, and refreshes the Sud
channel/forecast sections to match this session's other changes
(Elapsed-based dynamic forecast anchoring instead of wall-clock time
times the nominal warp factor, Load's Error reply).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LhiQe64F74uHV8jzuoSa5K
Sud.load() already refuses a new schedule while a run is in progress
(state not IDLE/DONE) - but tasks/sud.py's SudTask.recv() silently
dropped that refusal, and an earlier attempt to handle it client-side
by pre-emptively greying out the File menu based on the GUI's own
(replicated, laggy) view of sud_state was reverted: the intelligence
belongs on the server, which already knows definitively whether it's
running, not on the client guessing from a mirrored state that can
lag or miss the message that changed it.
tasks/sud.py: when Sud.load() returns False, send {'Sud': {'Error':
...}} explaining why, instead of doing nothing.
client/brewpi_gui.py: New/Save/Load Sud stay enabled unconditionally;
on_sud_changed() shows whatever 'Error' the server sends via
QMessageBox.warning(). on_action_sud_new()'s comment updated to match
(it goes through the same Load path, so gets the same rejection/error
for free).
Verified live: triggering Load while a run is in progress on an
isolated test server round-trips the Error over the wire and pops the
expected dialog ("Cannot load a new schedule while a run is in
progress - stop it first.").
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LhiQe64F74uHV8jzuoSa5K
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
Previously, whether a schedule step ramped at all was decided purely by
the presence of a 'ramp' key (components/sud.py's _advance()) - a
hold-only step jumped straight into its hold countdown, assuming the
plant was already at temperature. Now every step ramps toward
'temperature' first, for as long as the controller's own gap-tracking
FSM (TempControllerBase, already distinguishing HEAT/COOL/HOLD) says
the gap actually warrants it - via the new is_holding() (on APid and
TempControllerBase), which replaces a separate, redundant
TEMP_REACHED_TOLERANCE constant duplicated across tasks/sud.py,
components/sud_forecast.py, and scripts/demos/sud/demo_sud.py.
set_theta_soll() now recomputes the FSM eagerly so is_holding() can't
read stale HOLD for a tick after a much-further-away target is pushed.
components/sud.py's _build_step() always synthesizes a 'ramp' block
from default.step.ramp (so 'rate' is always available), but leaves
'temperature' undefaulted - every real sude/*.json's
default.step.temperature is inert template filler, and defaulting it
would send hold-only steps chasing 0 degrees. SudTask/
SudForecastEstimator/the demo only push a new theta_soll/heatrate_soll
when a step actually specifies its own temperature; otherwise the
controller keeps whatever the previous step left running.
Also fixes a related crash this surfaced: SudTask.remaining_schedule()'s
synthetic mid-hold step dropped 'ramp' to signal "don't re-ramp" - now
that every step always carries a 'ramp' dict, dropping it left 'rate'
missing the moment the synthetic step was re-resolved by
SudForecastEstimator. Drops 'temperature' instead, which is what
actually signals "no new target" under the new model.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LhiQe64F74uHV8jzuoSa5K
SudForecastPlot.show_dynamic()'s dashed "remaining" line was still
using the naive abs(delta)/rate estimate even after a run started,
even though the (much more accurate) server-side
SudForecastEstimator was already available - the static forecast got
the upgrade, the live one didn't.
tasks/sud.py: SudTask now recomputes a forecast for just the remaining
steps (seeded from the live current temperature) on every step change
and sends it as {'RemainingForecast': {...}}. Building the synthetic
"rest of this step" entry for a step currently HOLDING needs to keep
the current step's grain_mass/water_mass/temperature/etc - a bare
{'hold': {...}} re-resolves those to None against the synthetic doc's
empty default.step, breaking derive_plant_params() (caught live: a
TypeError on every step change, silently swallowed by asyncio).
client/brewpi_gui.py: on_plot_timer() now uses the server's
RemainingForecast for the dashed projection whenever available,
falling back to the naive estimate only for the brief window before
each step's recomputation arrives. show_dynamic() takes the already-
computed (t_rem, theta_rem) instead of computing it internally, so the
GUI/server sources are interchangeable from its point of view.
New components/sud_forecast.py: SudForecastEstimator simulates a whole
schedule with the same kind of plant/controller (and the same
configured params - ambient, plant params, pid_type, TempCtrl gains,
heater max power) the server uses for real, by driving a throwaway
Sud/Pot/controller trio through it exactly as tasks/sud.py's SudTask
would. It's pure CPU-bound iteration (no real time/IO), so a multi-
hour brew simulates in well under a second.
tasks/sud.py: SudTask now takes an optional forecast_estimator and
sends its result ({'Forecast': {'T': ..., 'Theta': ...}}) on the Sud
channel after every successful Save/Load, run in a worker thread via
run_in_executor so the ~100-500ms simulation doesn't stall the other
tasks. server/brewpi.py constructs one with the real server's config
and wires it in; AmbientTemp changes update it too.
client/brewpi_gui.py: the quick naive show_schedule() estimate (drawn
immediately on Load, before the server's simulation finishes) is now
superseded by show_precomputed_course() once the Forecast message
arrives - only while not actively running, so it doesn't fight the
dynamic re-anchored view.
Verified: matches a standalone run of the estimator (177 min for
sude/sud_0010.json) and replaces the old naive 164 min estimate live
within a couple seconds of loading.
TempControllerBase.cooling/set_cooling() forced y=0 in advance of a
Sud ramp-down step; redundant now that the FSM's own COOL state
detects and handles a negative diff itself. Removed from the
controller, SudTask's anticipatory detection (and the Step message's
now-unused "Cooling" field), and demo_sud.py's mirror of it.
gui: the "Cool down" status-bar indicator now reflects the
controller's actual State ("States.COOL") via the TempCtrl channel,
rather than Sud's removed anticipatory flag - renamed
sud_cooling/set_sud_cooling to tc_cooling/set_tc_cooling to match.
New TempControllerBase.enabled (default False) forces y=0 in
process_pid() when off, same mechanism as the existing cooling
override - the controller tries not to drive the heater at all.
tasks/tempctrl.py: new 'Enable' recv command and 'Enabled' broadcast
on the TempCtrl channel. tasks/sud.py: SudTask now enables the
controller on any non-IDLE/DONE Sud state and disables it (forcing
power back to 0) on IDLE/DONE, so automatic mode owns it for the
duration of a run and hands back manual control once it stops/finishes.
gui: new "Enabled" checkbox on the Manual tab's Controller group,
synced from the server; the temp/heatrate setpoint controls are
disabled whenever the controller itself is disabled.
A step's target temperature applies to the whole step (it's what a
ramp ramps to and what a hold then holds at), not just its ramp phase
- promote it from a nested "ramp": {"temp": ...} to a step-level
"temperature" field, defaulted like descr/grain_mass/etc. Updates all
consumers (Sud._build_step, SudTask, the GUI's forecast estimator,
demo_sud.py) and migrates sude/sud_0010.json and the README.
get_theta_ist() can return numpy.float64 (Pot's transport delay line
is a numpy array internally), so the cooldown comparison produced a
numpy.bool_ instead of a plain bool. json.dumps() can't serialize that,
which silently killed the websocket connection's send loop the moment
a ramp step started - found by actually driving the feature through a
live server+GUI run instead of only unit-style tests with a directly
constructed controller.
A ramp step whose target is below the current actual temperature can
only be reached by ambient cooling - the heater can't actively cool.
SudTask now detects this once per ramp phase and calls the controller's
new set_cooling() override (forces y=0, bypassing the FSM) instead of
waiting for its hysteresis-based IDLE transition. The GUI shows a
blinking blue "Cool down" label in the status bar while this is active.
Progression already only advances once theta_ist matches theta_soll
regardless of direction, so no change was needed there.
A step can now carry both 'ramp' and 'hold': it ramps to the target
temp, then holds there for the given duration, instead of needing two
separate schedule entries. Sud.temp_reached() switches such a step
from its ramp phase into its hold phase in place (re-firing the
step-changed callback so SudTask/demo_sud re-apply the hold's stirrer
settings); user_wait_for_continue still applies once the whole step -
both phases - is done.
Merges sud_0010.json's three ramp/hold pairs into combined steps.
Adds a 'System' channel for static, global info that doesn't belong
to any one task - sent once at startup directly from brewpi.py's
__main__ (a client connecting later still gets it via the
dispatcher's global_state replay on subscribe, same mechanism
SudTask's startup Name/Description already relies on).
Moves warp_factor out of SudTask's startup message and into this new
channel, since it's not actually Sud-specific - it's now available
(and the status bar shows it) even without a Sud configured. The
forecast plot's progress-line scaling switches to the same general
Window.warp_factor field.
Displayed via a permanent status bar widget (not cleared by the
existing transient step/schedule showMessage() calls).
SudTask now computes warp_factor = dt/interval (the same simulated-vs-
wall-clock split Pot/TempController/Stirrer already use internally)
and sends it once at startup as 'WarpFactor'. The GUI uses it to scale
real elapsed time into the forecast's simulated-schedule time axis,
so the progress line lines up with the actual sim speed instead of
assuming real time.
Also fixes SudTask.tick() to decrement hold_remaining by dt (simulated
seconds) instead of interval (wall-clock seconds) - it was the only
place in the sim using the wall-clock interval for something meant to
track simulated time, so hold steps were taking warp_factor times
longer in real time than their declared duration intends. Without
this fix the GUI's new warp-scaled progress line would race ahead of
the real server during holds.
SudTask.on_step_changed() set the controller's target temp/rate on
every step, but never touched the real Pot's or the Smith predictor's
internal model's thermal mass (M/C) - those stayed frozen at
brewpi.py's startup DEFAULT_PLANT_PARAMS for the whole brew, even
though grain_mass/water_mass change per step (malt going in, water
boiling off) and demo_sud.py already recomputes them every step via
derive_plant_params(). Production SudTask just never got the same
treatment.
Adds SudTask.apply_plant_params(), called alongside the existing
theta_soll/heatrate_soll push, mirroring the demo. Needs the real Pot
now, so SudTask takes a `pot` constructor arg; set_model_params() is
only called if the configured controller actually defines one (the
"Normal" pid_type doesn't).
Renames everywhere the concept appears: Sud.download()/upload() ->
save()/load(), the 'Download'/'Upload' websocket messages ->
'Save'/'Load', the brewpi_gui menu actions, handlers and
sud_download_path -> sud_save_path, and the demo script. Behavior is
unchanged - this is naming only, from the client's perspective (save
to / load from a local file) rather than the server's.
components/sud.py: adds SudState.PAUSED. pause() freezes RAMPING/
HOLDING (the hold countdown and ramp-reached checks both no-op while
PAUSED, since they're gated on the exact state they froze); start()
now doubles as resume when paused. stop() aborts back to IDLE from
any in-progress state, reusing the same reset logic as __init__/
upload() (factored into _reset_run_state()).
tasks/sud.py: maps 'Pause'/'Stop' messages to the new methods, and
turns the stirrer off on IDLE (not just DONE) so stop() actually
silences it instead of leaving the last step's stirring running.
client/brewpi_gui.py: wires the Pause/Stop toolbar actions, extends
update_sud_actions() so Start doubles as Resume and Stop stays usable
while paused, and freezes the forecast plot's progress line for the
duration of a pause (tracked via accumulated paused time) instead of
letting it drift ahead of actual progress.
Adds a static forecast plot to the (previously empty) Automatic tab,
showing the planned temperature course derived from a schedule's
declared ramp rates and hold durations alone (no plant/controller
model - just how long the schedule itself says each step takes).
The client now requests the schedule via Download right after
connecting, routing the reply to the forecast instead of a save
dialog since sud_download_path is only set for the user-initiated
download. SudTask also echoes the just-applied document back after a
successful Upload, so editing the schedule refreshes the forecast
without an extra round trip.
Sud.download() returns the on-disk document; Sud.upload() validates,
persists, and resets the schedule, refusing mid-brew or malformed input
so the current schedule is never left half-applied.
Steps now declare a "ramp" or "hold" key instead of a flat "type", and
unspecified fields (including nested stirrer settings) fall back to a
new top-level default.step structure. Stirrer config is now
interval_time/on_ratio, mapping directly onto AStirrer's cycle
time/duty cycle instead of separate on/off durations. Update
components/sud.py, tasks/sud.py, the Sud demo, sude/sud_0010.json, and
the README to match.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CgR9tPaSzFkAwRAUyeaaCD
sude/sud_0010.json moved from a list of combined ramp+hold+wait
"Rasten" with global stirrer constants to a flat "schedule" list of
explicit {"type": "heat"|"hold", ...} steps, each carrying its own
stirrer_speed/stirrer_time_on/stirrer_time_off and an optional
user_wait_for_continue (+ user_message).
- components/sud.py: Sud now tracks the current `step` instead of
`rast`; "heat" steps enter RAMPING (advanced externally via
temp_reached()), "hold" steps enter HOLDING and count down
`duration` minutes (0 if omitted). Either step type can pause in
WAIT_USER via user_wait_for_continue, surfaced through the new
user_message attribute.
- tasks/sud.py: SudTask only pushes theta_soll/heatrate_soll on
"heat" steps, converts each step's stirrer_time_on/off into a
duty_cycle/cycle_time on every step change (replacing the old
state-based RAMPING/HOLDING stirrer switching), and broadcasts
user_message changes. Stirring is now fully schedule-driven instead
of implicitly stopped on WAIT_USER/DONE (DONE still stops it, since
there's no step left to read settings from).
- scripts/demos/sud/demo_sud.py: mirrors the same step-driven wiring.
- README's Mash schedules section rewritten for the new schema.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
brewpi.py had a dead -m/--model CLI arg and sude/*.json schedules were
pure data with no code to drive them, despite the README documenting
them as if they were already wired up.
Add components/sud.py's Sud, which loads a sude/*.json schedule and
steps through its Rasten (ramp -> hold -> optional wait-for-user ->
next rest), and tasks/sud.py's SudTask, which drives the temperature
controller's theta_soll/heatrate_soll from the current rest and
switches the stirrer between continuous (ramping) and intermittent
(holding, via stirrSpeedRast/stirrDutyRast/stirrCycleTime) operation.
Exposes progress on a new "Sud" WebSocket channel and accepts
Start/Confirm commands. Enabled via a new optional top-level "sud"
config key (see config.json.templ/.sim).
"Reached target" is detected via abs(theta_ist - theta_soll_set) <
tolerance rather than tc.state == HOLD, since the latter can still
read HOLD left over from the previous rest for one tick after a new
target is pushed (tc.state only updates on the controller's own,
independently-scheduled process() tick).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
jensandClaude Sonnet 4.6