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@@ -12,14 +12,16 @@ from ..models import read_json, sha256_json, write_json
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from ..parameter_solver import load_requirement
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from .datum_inference import infer_step_datum_axis
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from .generator import JointModuleError, run_joint_module
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from .models import JointModuleManifest
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from .models import JointModuleManifest, JointPlatformProfile
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PACKAGE_ROOT = Path(__file__).resolve().parents[2]
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DEFAULT_PLATFORM_PROFILE = (
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PACKAGE_ROOT / "input" / "assets" / "platforms" / "actuator_v2_fixed_platform.json"
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)
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AUTO_CONTROLLED_OUTPUTS = [
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"auto_design_input.json",
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"auto_design_report.json",
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"generated_housing.step",
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"generated_reducer_requirement.json",
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"generated_joint_requirement.json",
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"auto_generation_error.json",
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@@ -93,6 +95,27 @@ def _resolve_path(path_text: str, *, requirement_path: Path | None = None) -> Pa
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return path.resolve()
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def load_platform_assets(platform_profile: Path) -> tuple[JointPlatformProfile, dict[str, Path]]:
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if not platform_profile.exists():
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raise AutoJointDesignError(f"missing_joint_platform_profile: {platform_profile}")
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profile = JointPlatformProfile.model_validate(read_json(platform_profile))
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paths = {
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"motor_step": _resolve_path(profile.motor_step, requirement_path=platform_profile),
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"housing_step": _resolve_path(profile.housing_step, requirement_path=platform_profile),
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}
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if profile.chip_step is not None:
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paths["chip_step"] = _resolve_path(profile.chip_step, requirement_path=platform_profile)
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if profile.reference_assembly_step is not None:
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paths["reference_assembly_step"] = _resolve_path(
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profile.reference_assembly_step,
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requirement_path=platform_profile,
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)
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missing = {name: str(path) for name, path in paths.items() if not path.exists()}
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if missing:
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raise AutoJointDesignError(f"fixed_platform_asset_missing: {missing}")
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return profile, paths
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def _axis_extent(metrics: Any) -> float:
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axis = metrics.inferred_axis
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if axis is None:
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@@ -195,6 +218,60 @@ def compute_auto_envelope(
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}, housing_module
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def compute_fixed_platform_envelope(
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*,
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platform_profile: Path,
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radial_clearance_mm: float,
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reducer_radial_clearance_mm: float,
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) -> tuple[AutoJointEnvelope, dict[str, Any], JointPlatformProfile]:
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profile, paths = load_platform_assets(platform_profile)
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motor_metrics = infer_step_datum_axis(
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component_id="motor",
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step_path=paths["motor_step"],
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role="motor",
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)
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housing_metrics = infer_step_datum_axis(
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component_id="housing",
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step_path=paths["housing_step"],
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role="housing",
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)
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motor_radial_diameter = _radial_diameter(motor_metrics)
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motor_axis_length = _axis_extent(motor_metrics)
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housing_radial_diameter = _radial_diameter(housing_metrics)
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housing_axis_length = _axis_extent(housing_metrics)
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housing_inner_diameter = max(24.0, housing_radial_diameter - 2.0 * radial_clearance_mm)
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reducer_max_outer = max(24.0, housing_inner_diameter - 2.0 * reducer_radial_clearance_mm)
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envelope = AutoJointEnvelope(
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motor_radial_diameter_mm=motor_radial_diameter,
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motor_axis_length_mm=motor_axis_length,
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housing_inner_diameter_mm=housing_inner_diameter,
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housing_outer_diameter_mm=housing_radial_diameter,
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housing_axis_length_mm=housing_axis_length,
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reducer_max_outer_diameter_mm=reducer_max_outer,
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target_ratio=0.0,
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module_candidates_mm=_module_candidates_for_outer_diameter(reducer_max_outer),
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planet_count_candidates=[3, 4],
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)
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envelope = AutoJointEnvelope(
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**{
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**envelope.__dict__,
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"target_ratio": _ratio_from_envelope(envelope),
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}
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)
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return envelope, {
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"platform_profile": str(platform_profile.resolve()),
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"platform_id": profile.platform_id,
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"asset_paths": {name: str(path.resolve()) for name, path in paths.items()},
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"motor_metrics": motor_metrics.model_dump(mode="json"),
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"housing_metrics": housing_metrics.model_dump(mode="json"),
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"housing_dimensions": {
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"estimated_inner_diameter_mm": housing_inner_diameter,
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"outer_diameter_mm": housing_radial_diameter,
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"axis_length_mm": housing_axis_length,
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},
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}, profile
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def export_generated_housing(
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*,
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housing_module: Any,
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@@ -214,7 +291,33 @@ def export_generated_housing(
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raise AutoJointDesignError(f"generated_housing_step_missing_or_empty: {out_path}")
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def build_reducer_requirement(envelope: AutoJointEnvelope, *, tooth_form: str = "spur") -> dict[str, Any]:
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def _cascade_requirement_template() -> dict[str, Any]:
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template = (
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PACKAGE_ROOT
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/ "input"
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/ "requirements"
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/ "reducers"
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/ "simple_2k_h_cascade"
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/ "simple_2kh_cascade_ratio_9_spur_compact.json"
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)
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return read_json(template)
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def build_reducer_requirement(
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envelope: AutoJointEnvelope,
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*,
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tooth_form: str = "spur",
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topology_family: str = "simple_2k_h",
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) -> dict[str, Any]:
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if topology_family == "simple_2k_h_cascade":
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payload = _cascade_requirement_template()
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payload["tooth_form"] = tooth_form
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payload.setdefault("constraints", {})["max_outer_diameter_mm"] = (
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envelope.reducer_max_outer_diameter_mm
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)
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return payload
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if topology_family != "simple_2k_h":
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raise AutoJointDesignError(f"unsupported_auto_joint_reducer_family: {topology_family}")
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return {
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"target_ratio": envelope.target_ratio,
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"ratio_tolerance": 0.000001,
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@@ -245,21 +348,29 @@ def build_reducer_requirement(envelope: AutoJointEnvelope, *, tooth_form: str =
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def build_joint_requirement(
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*,
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motor_step: Path,
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housing_step: Path,
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platform_profile: Path,
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reducer_requirement: Path,
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topology_family: str = "simple_2k_h",
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) -> dict[str, Any]:
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if topology_family == "simple_2k_h_cascade":
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motor_relation = "motor_output_to_s1_sun_input"
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housing_relation = "stage_rings_fixed_to_housing"
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joint_output = "s2_carrier_output"
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else:
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motor_relation = "motor_output_to_sun_keyed_input"
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housing_relation = "ring_fixed_to_housing"
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joint_output = "carrier_output_shaft"
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return {
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"module_type": "planetary_joint_module",
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"motor_step": str(motor_step.resolve()),
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"housing_step": str(housing_step.resolve()),
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"platform_profile": str(platform_profile.resolve()),
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"reducer_requirement": str(reducer_requirement.resolve()),
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"placement_policy": "infer_then_write_editable_json",
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"motor_to_reducer_relation": "motor_output_to_sun_keyed_input",
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"housing_relation": "ring_fixed_to_housing",
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"joint_output": "carrier_output_shaft",
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"motor_to_reducer_relation": motor_relation,
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"housing_relation": housing_relation,
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"joint_output": joint_output,
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"motor_placement_policy": "external_flush_input_end",
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"input_shaft_insertion_depth_mm": 4.0,
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"output_extension_mm": 8.0,
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"output_extension_mm": 14.0,
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}
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@@ -273,51 +384,71 @@ def prepare_auto_dir(out_dir: Path) -> None:
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def run_auto_joint_design(
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*,
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motor_step: Path,
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housing_source: Path,
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out_dir: Path,
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platform_profile: Path = DEFAULT_PLATFORM_PROFILE,
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motor_step: Path | None = None,
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housing_source: Path | None = None,
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tooth_form: str = "spur",
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radial_clearance_mm: float = 14.0,
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reducer_axial_allowance_mm: float = 42.0,
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reducer_axial_allowance_mm: float = 28.0,
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reducer_radial_clearance_mm: float = 8.0,
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reducer_requirement_overrides: dict[str, Any] | None = None,
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) -> JointModuleManifest:
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prepare_auto_dir(out_dir)
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if not motor_step.exists():
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raise AutoJointDesignError(f"missing_motor_step: {motor_step}")
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if not housing_source.exists():
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raise AutoJointDesignError(f"missing_housing_source: {housing_source}")
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envelope, evidence, housing_module = compute_auto_envelope(
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motor_step=motor_step,
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housing_source=housing_source,
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platform_profile = platform_profile.resolve()
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envelope, evidence, _profile = compute_fixed_platform_envelope(
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platform_profile=platform_profile,
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radial_clearance_mm=radial_clearance_mm,
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reducer_axial_allowance_mm=reducer_axial_allowance_mm,
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reducer_radial_clearance_mm=reducer_radial_clearance_mm,
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)
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housing_step = out_dir / "generated_housing.step"
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export_generated_housing(
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housing_module=housing_module,
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scale_payload=evidence["housing_scale"],
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out_path=housing_step,
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)
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reducer_requirement_path = out_dir / "generated_reducer_requirement.json"
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joint_requirement_path = out_dir / "generated_joint_requirement.json"
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reducer_requirement_payload = build_reducer_requirement(envelope, tooth_form=tooth_form)
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overrides = reducer_requirement_overrides or {}
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topology_family = str(overrides.get("topology_family") or "simple_2k_h")
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reducer_requirement_payload = build_reducer_requirement(
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envelope,
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tooth_form=tooth_form,
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topology_family=topology_family,
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)
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for name in {
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"target_ratio",
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"tooth_form",
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"helix_angle_deg",
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"pressure_angle_deg",
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"face_width_mm",
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"backlash_mm",
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"ring_rim_thickness_mm",
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}:
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if name in overrides:
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reducer_requirement_payload[name] = overrides[name]
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if "module_mm" in overrides:
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reducer_requirement_payload["module_candidates_mm"] = [float(overrides["module_mm"])]
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if "planet_count" in overrides:
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reducer_requirement_payload["planet_count_candidates"] = [int(overrides["planet_count"])]
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if "max_outer_diameter_mm" in overrides:
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reducer_requirement_payload["constraints"]["max_outer_diameter_mm"] = float(
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overrides["max_outer_diameter_mm"]
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)
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if reducer_requirement_payload.get("tooth_form") == "helical":
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reducer_requirement_payload.setdefault("helix_angle_deg", 15.0)
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else:
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reducer_requirement_payload.pop("helix_angle_deg", None)
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write_json(reducer_requirement_path, reducer_requirement_payload)
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# Validate before launching the heavy generation path.
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load_requirement(reducer_requirement_path)
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joint_requirement_payload = build_joint_requirement(
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motor_step=motor_step,
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housing_step=housing_step,
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platform_profile=platform_profile,
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reducer_requirement=reducer_requirement_path,
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topology_family=str(reducer_requirement_payload.get("topology_family") or topology_family),
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)
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write_json(joint_requirement_path, joint_requirement_payload)
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write_json(
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out_dir / "auto_design_input.json",
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{
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"motor_step": str(motor_step.resolve()),
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"housing_source": str(housing_source.resolve()),
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"platform_profile": str(platform_profile.resolve()),
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"ignored_legacy_motor_step": str(motor_step.resolve()) if motor_step else None,
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"ignored_legacy_housing_source": str(housing_source.resolve()) if housing_source else None,
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"tooth_form": tooth_form,
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"radial_clearance_mm": radial_clearance_mm,
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"reducer_axial_allowance_mm": reducer_axial_allowance_mm,
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@@ -332,7 +463,6 @@ def run_auto_joint_design(
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"envelope": envelope.__dict__,
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"evidence": evidence,
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"generated_files": {
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"housing_step": str(housing_step.resolve()),
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"reducer_requirement": str(reducer_requirement_path.resolve()),
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"joint_requirement": str(joint_requirement_path.resolve()),
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},
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