Files
brewpi/tasks/sud.py
T
jens d91bba1ba2 Use the server's simulated forecast for the dynamic remainder too
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.
2026-06-21 17:24:26 +02:00

216 lines
8.7 KiB
Python

import asyncio
from tasks import ATask
from ws.message import MsgIo
from utils.value import ChangedFloat
from components import APid, AStirrer
from components.plant import APlant
from components.sud import Sud, SudState
# How close theta_ist needs to be to theta_soll_set to count as "reached".
TEMP_REACHED_TOLERANCE = 0.2
class SudTask(ATask):
def __init__(self, sud: Sud, tc: APid, stirrer: AStirrer, pot: APlant, dt, interval, msg_handler: MsgIo,
forecast_estimator=None):
ATask.__init__(self, interval)
self.sud = sud
self.tc = tc
self.stirrer = stirrer
self.pot = pot
# Simulated seconds per tick, vs. interval's wall-clock seconds per
# tick - same dt/interval split Pot/TempController/Stirrer already
# use internally. Their warp-induced speedup falls out naturally
# from ticking real physics at simulated dt; Sud has no physics of
# its own, so hold_remaining must be ticked by dt explicitly to get
# the same speedup instead of running in real time.
self.dt = dt
self.msg_handler = msg_handler
# Predicts a schedule's actual duration by simulating it with the
# same plant/controller machinery this server uses for real - see
# components/sud_forecast.py. Optional only so tests/demos that
# build a SudTask without one still work; the server always passes
# one.
self.forecast_estimator = forecast_estimator
msg_handler.set_recv_handler(self.recv)
def apply_plant_params(self, step):
"""Keeps the real plant's and the controller's internal model's
lumped (M, C) in sync with the step's grain_mass/water_mass, since
those vary over the course of a brew (malt going in, water boiling
off) - mirrors demo_sud.py's apply_plant_params()."""
params = self.sud.derive_plant_params(step.get('grain_mass', 0), step.get('water_mass', 0))
self.pot.set_thermal_params(params['M'], params['C'])
if hasattr(self.tc, 'set_model_params'):
self.tc.set_model_params(params['M'], params['C'])
def apply_stirrer(self, phase):
stirrer_cfg = phase.get('stirrer', {})
speed = stirrer_cfg.get('speed', 0)
interval_time = stirrer_cfg.get('interval_time', 0)
on_ratio = stirrer_cfg.get('on_ratio', 1.0)
if interval_time > 0:
self.stirrer.set_cycle_time(interval_time)
self.stirrer.set_duty_cycle(on_ratio)
else:
self.stirrer.set_cycle_time(1.0)
self.stirrer.set_duty_cycle(1.0 if speed > 0 else 0.0)
self.stirrer.set_speed(speed)
def on_step_changed(self, step):
ramp = step.get('ramp') if step else None
hold = step.get('hold') if step else None
# A step may carry both 'ramp' and 'hold' (ramp to temp, then hold) -
# self.sud.state tells us which phase is currently active; it's
# already up to date by the time this callback fires, both on a
# full step transition and on the ramp->hold phase switch within
# one step (components/sud.py's temp_reached()).
ramping = self.sud.state == SudState.RAMPING
phase = ramp if ramping and ramp is not None else hold
if step is not None:
self.apply_plant_params(step)
if ramping and ramp is not None:
self.tc.set_theta_soll(step['temperature'])
self.tc.set_heatrate_soll(ramp['rate'])
self.apply_stirrer(phase)
asyncio.create_task(self.send({'Step': {
'Index': self.sud.index,
'Type': 'ramp' if ramping and ramp is not None else 'hold' if hold is not None else None,
'Descr': step.get('descr') if step else None,
'Temp': step.get('temperature') if ramp is not None else None,
'Rate': ramp.get('rate') if ramp else None,
'Duration': hold.get('duration') if (hold is not None and not ramping) else None,
'WaitForUser': step.get('user_wait_for_continue', False) if step else None,
}}))
asyncio.create_task(self.send_remaining_forecast())
def on_state_changed(self, value):
asyncio.create_task(self.send({'State': str(value)}))
if value in (SudState.DONE, SudState.IDLE):
self.stirrer.set_duty_cycle(1.0)
self.stirrer.set_speed(0)
# A finished/stopped run no longer owns the controller - hand
# control back to manual mode (off by default there too).
self.tc.set_enabled(False)
else:
# Any other state (RAMPING/HOLDING/WAIT_USER/PAUSED) means a
# run is in progress and needs the controller actively driving
# the heater.
self.tc.set_enabled(True)
def on_user_message_changed(self, value):
asyncio.create_task(self.send({'UserMessage': value}))
def on_hold_remaining_changed(self, value):
asyncio.create_task(self.send({'HoldRemaining': value}))
async def send_forecast(self, doc):
if self.forecast_estimator is None:
return
# Runs the simulation in a worker thread - it's CPU-bound and can
# take a couple hundred ms for a long schedule, which would
# otherwise stall every other task (heater, sensor, ...) for that
# whole window.
loop = asyncio.get_event_loop()
t, theta = await loop.run_in_executor(None, self.forecast_estimator.estimate, doc)
await self.send({'Forecast': {'T': t, 'Theta': theta}})
def remaining_schedule(self):
"""The not-yet-done part of the running schedule - the current
step's already-finished phase is dropped, and its still-to-run
phase is left for SudForecastEstimator to size from the live
start_theta/hold_remaining it's seeded with, rather than the
step's nominal start. Mirrors client/brewpi_gui.py's
Window._remaining_schedule(), which does the same thing
client-side for its own (less accurate) naive fallback."""
schedule = self.sud.schedule
index = self.sud.index
if not schedule or not (0 <= index < len(schedule)):
return []
current = schedule[index]
rest = schedule[index + 1:]
if self.sud.state == SudState.WAIT_USER:
return rest
if self.sud.state == SudState.HOLDING:
# Keep the rest of the current (already fully-resolved) step -
# grain_mass/water_mass/temperature/etc. - SudForecastEstimator
# re-resolves each step against an empty default.step, so a
# bare {'hold': {...}} here would leave those None instead of
# inherited, breaking derive_plant_params(). Only the ramp
# phase is actually done; drop it and override the hold's
# duration to what's actually left.
remaining_minutes = max(self.sud.hold_remaining, 0.0) / 60.0
synthetic = {k: v for k, v in current.items() if k != 'ramp'}
synthetic['hold'] = {**current.get('hold', {}), 'duration': remaining_minutes}
return [synthetic] + rest
return [current] + rest
async def send_remaining_forecast(self):
"""Like send_forecast(), but for the remaining steps only, seeded
from the live current temperature - the dynamic forecast's
projected-remainder line (GUI's SudForecastPlot.line_projected)
uses this instead of its own naive abs(delta)/rate estimate
whenever it's available."""
if self.forecast_estimator is None:
return
remaining = self.remaining_schedule()
if not remaining:
return
doc = {
'Name': self.sud.name,
'Description': self.sud.description,
'pot_mass': self.sud.pot_mass,
'pot_material': self.sud.pot_material,
'steps': remaining,
}
start_theta = self.tc.get_theta_ist()
loop = asyncio.get_event_loop()
t, theta = await loop.run_in_executor(None, self.forecast_estimator.estimate, doc, start_theta)
await self.send({'RemainingForecast': {'T': t, 'Theta': theta}})
async def recv(self, data):
for pair in data.items():
if 'Start' in pair[0]:
self.sud.start()
elif 'Confirm' in pair[0]:
self.sud.confirm()
elif 'Pause' in pair[0]:
self.sud.pause()
elif 'Stop' in pair[0]:
self.sud.stop()
elif 'Save' in pair[0]:
doc = self.sud.save()
await self.send({'Json': doc})
await self.send_forecast(doc)
elif 'Load' in pair[0]:
if self.sud.load(pair[1]):
await self.send({'Name': self.sud.name, 'Description': self.sud.description})
await self.send({'Json': pair[1]})
await self.send_forecast(pair[1])
async def send(self, data):
await self.msg_handler.send(data)
async def on_process(self):
print("{}: Started with interval {} s".format(self.msg_handler.get_key(), self.interval))
self.sud.set_on_changed('step', self.on_step_changed)
self.sud.set_on_changed('state', self.on_state_changed)
self.sud.set_on_changed('user_message', self.on_user_message_changed)
self.sud.set_on_changed('hold_remaining', ChangedFloat(self.on_hold_remaining_changed, prec=0).set)
asyncio.create_task(self.send({'Name': self.sud.name, 'Description': self.sud.description}))
while True:
if self.sud.state == SudState.RAMPING:
# Compare against the controller's own live setpoint/measurement
# rather than its state machine, which can still read HOLD from
# the previous step for one tick after a new target is pushed.
if abs(self.tc.get_theta_ist() - self.tc.get_theta_soll_set()) < TEMP_REACHED_TOLERANCE:
self.sud.temp_reached()
self.sud.tick(self.dt)
await asyncio.sleep(self.interval)