sprint-0: foundations -- data model, seed library, tests, demo

Initial commit. Delivers what the brief calls 'Sprint 0 - Foundations'
(see docs/AR_Autopilot_brief.md section 12):

- Complete repository structure (arautopilot package + firmware, display,
  installer, tools placeholders + docs).
- Core data model (Pydantic v2): modes, alarms, actuator config, PID
  config + gain scheduling, vessel config, knob state machine, project
  config with YAML/JSON serialisation.
- Seed library: 2 actuator profiles (hydraulic & electric DC reversible)
  and 2 default tunings (yacht motor planeo 30 m and 40 m). Conservative
  literature values, NOT the integrator's production tuning IP.
- Firmware skeleton: only src/hal/pinout.h with the 21 I/O contract for
  the AR-NMEA-IO v1.0 board. No drivers, no main loop.
- Studio stubs (real PySide6 app starts in Sprint 4).
- pytest suite (80 tests, all green): modes, alarms, actuator, PID
  (incl. gain interpolation and the +/-50% adaptive bound from brief
  section 6), vessel, knob state, project config, library loader,
  end-to-end roundtrip.
- examples/sprint0_demo.py - the acceptance demo from the brief.

Acceptance criteria met:
- pytest green (80/80)
- demo creates, saves (YAML + JSON), reloads, and verifies a full
  ProjectConfig using the seed library
- repository ready for tag `sprint-0-approved`

See CHANGELOG.md for the detailed scope.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-05-17 23:57:18 -04:00
commit 700756c16f
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"""Curated seed library: actuator profiles, default vessel tunings, vessel profiles.
The contents of this package are **proprietary**. Default PID gains shipped
here are conservative literature-based starting values intended only for
bench testing and initial commissioning — they are NOT the integrator's
production-tuned values.
"""
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# JSON Schemas
This directory is reserved for JSON Schemas auto-generated from the Pydantic
models in `arautopilot.core`. They are useful for:
- IDE autocompletion / validation when editing actuator profiles or PID
tunings outside the Studio
- External tooling that consumes `.appack` configurations
- Documentation generation
Schemas are not generated in Sprint 0 but can be produced on demand:
```python
from arautopilot.core.actuator_config import ActuatorConfig
import json
print(json.dumps(ActuatorConfig.model_json_schema(), indent=2))
```
A `tools/regenerate_schemas.py` script will be added later (Sprint 4+).
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{
"type": "electric_dc_reversible",
"name": "Generic reversible DC motor with mechanical end-stops (Lewmar / Simpson Lawrence class)",
"deadband_pct": 4.0,
"min_useful_pwm_pct": 8.0,
"asymmetry_stbd_over_port": 1.00,
"max_rudder_angle_deg": 35.0,
"max_rate_dps": 5.5,
"max_current_a": 30.0,
"feedback_required": true
}
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{
"type": "hydraulic_reversible",
"name": "Generic reversible hydraulic pump (Hynautic / Hypro / Octopus / Vetus / L&S class)",
"deadband_pct": 7.0,
"min_useful_pwm_pct": 12.0,
"asymmetry_stbd_over_port": 1.00,
"max_rudder_angle_deg": 35.0,
"max_rate_dps": 4.0,
"max_current_a": 20.0,
"feedback_required": true
}
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# =============================================================================
# Default PID tuning — 30 m planing motor yacht
# =============================================================================
#
# WARNING — Conservative bench/start values only.
# These gains come from classical marine control literature (Fossen 2011,
# Perez 2005) scaled to a 30 m planing motor yacht class. They are intended
# only for bench testing and the very first sea trial — they MUST be replaced
# with the integrator's affinated values during commissioning.
#
# The "real" tuning libraries are integrator IP and are NOT shipped here.
#
# Units:
# - kp/ki/kd: dimensionless (controller internal units)
# - frequencies: Hz
# - rate / deadband: degrees, degrees/second
#
# Cascaded loops (brief section 6):
# - inner: rudder-position controller, 50 Hz
# - outer: heading controller, 10 Hz
#
# Gain scheduling: outer-loop gains interpolated over SOG (knots).
# Outside the scheduled range the closest endpoint is held.
# =============================================================================
schema_version: "0.1.0"
inner_loop_base:
kp: 2.5
ki: 0.15
kd: 0.30
inner_loop_freq_hz: 50.0
outer_loop_base:
kp: 0.90
ki: 0.02
kd: 1.20
outer_loop_freq_hz: 10.0
# Three-point schedule covering manoeuvring (5 kn), cruise (15 kn), top (28 kn).
# At low speed: more kp, less kd (rudder bites more, less inertia anticipation).
# At high speed: less kp, more kd (gentler corrections, anticipate overshoot).
gain_schedule:
- speed_knots: 5.0
gains: { kp: 1.20, ki: 0.03, kd: 0.80 }
- speed_knots: 15.0
gains: { kp: 0.90, ki: 0.02, kd: 1.20 }
- speed_knots: 28.0
gains: { kp: 0.55, ki: 0.01, kd: 1.80 }
rot_feedforward_gain: 1.50
setpoint_deadband_deg: 0.5
setpoint_rate_limit_dps: 4.0
anti_windup_limit: 8.0
adaptive_enabled: false
adaptive_max_deviation_pct: 50.0
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# =============================================================================
# Default PID tuning — 40 m planing motor yacht
# =============================================================================
#
# WARNING — Conservative bench/start values only.
# Scaled from the 30 m profile to account for the larger vessel: higher mass
# moment of inertia and longer time constants. Compared to the 30 m profile:
# - kp slightly lower (slower response per unit rudder)
# - kd slightly higher (more anticipation needed for the inertia)
# - setpoint_rate_limit_dps reduced (gentler heading slew)
#
# As with the 30 m profile, these are commissioning starting points and
# must be replaced with the integrator's production tuning.
# =============================================================================
schema_version: "0.1.0"
inner_loop_base:
kp: 2.20
ki: 0.12
kd: 0.35
inner_loop_freq_hz: 50.0
outer_loop_base:
kp: 0.75
ki: 0.015
kd: 1.55
outer_loop_freq_hz: 10.0
gain_schedule:
- speed_knots: 5.0
gains: { kp: 1.00, ki: 0.025, kd: 1.10 }
- speed_knots: 15.0
gains: { kp: 0.75, ki: 0.015, kd: 1.55 }
- speed_knots: 28.0
gains: { kp: 0.45, ki: 0.008, kd: 2.20 }
rot_feedforward_gain: 1.80
setpoint_deadband_deg: 0.5
setpoint_rate_limit_dps: 3.0
anti_windup_limit: 8.0
adaptive_enabled: false
adaptive_max_deviation_pct: 50.0
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"""Filesystem loader for the seed library.
Resolves paths inside the installed ``arautopilot.library`` package and
deserialises actuator profiles (JSON) and default PID tunings (YAML).
"""
from __future__ import annotations
import json
from importlib import resources
from pathlib import Path
from typing import Any
import yaml
from arautopilot.core.actuator_config import ActuatorConfig
from arautopilot.core.pid_config import PidConfig
_ACTUATOR_PACKAGE = "arautopilot.library.actuators"
_TUNINGS_PACKAGE = "arautopilot.library.default_tunings"
def list_actuator_profiles() -> list[str]:
"""Return the IDs (filename stems) of all bundled actuator profiles."""
return sorted(
r.name.removesuffix(".json")
for r in resources.files(_ACTUATOR_PACKAGE).iterdir()
if r.is_file() and r.name.endswith(".json")
)
def list_default_tunings() -> list[str]:
"""Return the IDs (filename stems) of all bundled default tunings."""
return sorted(
r.name.removesuffix(".yaml")
for r in resources.files(_TUNINGS_PACKAGE).iterdir()
if r.is_file() and r.name.endswith(".yaml")
)
def load_actuator_profile(profile_id: str) -> ActuatorConfig:
"""Load and validate one bundled actuator profile by ID."""
data = _read_json_resource(_ACTUATOR_PACKAGE, f"{profile_id}.json")
return ActuatorConfig.model_validate(data)
def load_default_tuning(tuning_id: str) -> PidConfig:
"""Load and validate one bundled default PID tuning by ID."""
data = _read_yaml_resource(_TUNINGS_PACKAGE, f"{tuning_id}.yaml")
return PidConfig.model_validate(data)
def load_actuator_profile_from_path(path: Path | str) -> ActuatorConfig:
"""Load an actuator profile from an arbitrary filesystem path (for tests / Studio)."""
p = Path(path)
with p.open("r", encoding="utf-8") as f:
return ActuatorConfig.model_validate(json.load(f))
def load_default_tuning_from_path(path: Path | str) -> PidConfig:
"""Load a default PID tuning from an arbitrary filesystem path (for tests / Studio)."""
p = Path(path)
with p.open("r", encoding="utf-8") as f:
return PidConfig.model_validate(yaml.safe_load(f))
def _read_json_resource(package: str, filename: str) -> dict[str, Any]:
return json.loads(resources.files(package).joinpath(filename).read_text(encoding="utf-8"))
def _read_yaml_resource(package: str, filename: str) -> dict[str, Any]:
return yaml.safe_load(
resources.files(package).joinpath(filename).read_text(encoding="utf-8")
)