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
92 lines
3.3 KiB
Python
92 lines
3.3 KiB
Python
from components.plant import Pot
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from components.pid import PidFactory
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from components.sud import Sud, SudState
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# Safety cap so a schedule whose target a step can never actually reach
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# (e.g. a "hold" colder than ambient with no active cooling) can't hang the
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# simulation forever - the estimate is simply cut off there.
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MAX_TICKS = 200000
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class SudForecastEstimator:
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"""Predicts how long a Sud schedule will actually take by simulating it
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with the same machinery (and params) the real server's brewpi.py wires
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up - a fresh Pot and temperature controller of the configured pid_type,
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driven through the schedule exactly as tasks/sud.py's SudTask would.
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This is deliberately independent of wall-clock/asyncio time: it just
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iterates dt-sized ticks as fast as the CPU allows (a multi-hour brew
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simulates in well under a second), so it can be run synchronously
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whenever a client needs an estimate - the naive "abs(delta)/rate" model
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the GUI used to compute itself has no way to see the real PID cascade's
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spin-up/settling lag, which is exactly why its estimate drifted so far
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from reality (see README.md's "Forecast vs. actual duration")."""
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def __init__(self, dt, theta_amb, plant_params, pid_type, tempctrl_params, heater_max_power):
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self.dt = dt
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self.theta_amb = theta_amb
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self.plant_params = plant_params
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self.pid_type = pid_type
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self.tempctrl_params = tempctrl_params
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self.heater_max_power = heater_max_power
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def set_ambient_temperature(self, theta_amb):
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self.theta_amb = theta_amb
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def estimate(self, doc, start_theta=None):
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"""Returns (t, theta): parallel lists of elapsed simulated seconds
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and temperature, one point per tick, for the given sud.json
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document. start_theta defaults to the configured ambient
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temperature - i.e. a cold start, same as the GUI's static
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estimate."""
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if start_theta is None:
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start_theta = self.theta_amb
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sud = Sud()
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if not sud.load(doc) or not sud.schedule:
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return [0.0], [start_theta]
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pot = Pot(self.dt, self.plant_params, self.theta_amb)
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pot.initial(start_theta)
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tc = PidFactory.create(self.pid_type, self.dt, self.tempctrl_params, self.plant_params, theta_amb=self.theta_amb)
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tc.set_enabled(True)
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tc.set_theta_ist(pot.get_temperature())
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def on_step_changed(step):
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if step is None:
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return
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params = sud.derive_plant_params(step.get('grain_mass', 0), step.get('water_mass', 0))
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pot.set_thermal_params(params['M'], params['C'])
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if hasattr(tc, 'set_model_params'):
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tc.set_model_params(params['M'], params['C'])
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if sud.state == SudState.RAMPING and step['temperature'] is not None:
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tc.set_theta_soll(step['temperature'])
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tc.set_heatrate_soll(step['ramp']['rate'])
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sud.set_on_changed('step', on_step_changed)
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t = [0.0]
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theta = [pot.get_temperature()]
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sud.start()
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ticks = 0
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while sud.state != SudState.DONE and ticks < MAX_TICKS:
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pot.process()
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tc.set_theta_ist(pot.get_temperature())
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tc.process()
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pot.set_power(max(0, self.heater_max_power * tc.get_power()))
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if sud.state == SudState.RAMPING:
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if tc.is_holding():
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sud.temp_reached()
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elif sud.state == SudState.WAIT_USER:
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# A real user's confirm time isn't predictable - count it
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# as instant for estimation purposes.
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sud.confirm()
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sud.tick(self.dt)
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t.append(t[-1] + self.dt)
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theta.append(pot.get_temperature())
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ticks += 1
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return t, theta
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